数绿融合

数字化与绿色化协同发展是实现“双碳”目标的重要手段。本文基于2011~2022年中国A股制造业上市企业数据，探讨了数字化转型对企业绿色创新的影响及机制。研究结果显示，数字化转型能够显著促进制造企业的绿色创新，对实质性创新的影响尤为显著。这些结论通过了严格的内生性和稳健性检验。机制分析表明，数字化转型通过提升环境管理披露和促进产学研合作来推动绿色创新。异质性分析表明，数字化转型对非重污染制造业企业、EGS责任履行程度高的企业以及位于数字金融程度较高地区的企业绿色创新的影响更为显著。本研究拓展了关于数字化转型对微观企业绿色创新影响的理论，为“双碳”目标下推动中国企业的低碳转型提供了理论支持及政策建议。

目前，我国正处于科技革命带动产业深入变革的时期，科技创新已成为推动我国经济和社会发展的第一生产力。近年来，我国经济社会发展、科技创新水平显著提升，在新一代信息技术、高端装备、绿色低碳等领域取得了一系列重要成果。面向未来，我国企业缺乏自主创新能力的问题越来越突出。因此，必须进一步加强企业创新体系建设，充分发挥数字化技术对企业创新能力提升的赋能作用，推动企业加快绿色技术创新。本文分析了我国发展数字化绿色化的必要性和数字化对于企业绿色技术创新的优势，最后通过分析数字化驱动企业绿色技术创新存在的问题，为企业利用数字化促进绿色技术创新提供了建议。

选取2015至2023年沪深A股的企业为研究样本，就数字化转型给企业绿色创新带来的影响展开探究。结果表明，数字化转型能够正向促进企业绿色创新，这种促进作用在技术密集型和劳动密集型产业中更为显著。机制检验发现，数字化转型通过提高研发投入进而推动企业绿色创新。

在数字经济时代，绿色制造企业面临着应用数字技术实现资源优化的新机遇和新挑战。然而，在数字经济背景下，绿色制造企业进行资源配置与优化仍面临数字化基础设施不完善、数据孤岛、供应链脆弱性和资源浪费与利用率低等挑战。本文提出了基于数字经济的资源优化策略，包括建立数字化基础设施，促进企业数字化转型；促进数据共享与整合，避免数据孤岛问题；构建弹性供应链，合理调配资源；应用数字技术，优化资源利用；优化要素配置，发展新质生产和加强人才培养与管理，应对市场挑战等策略。研究结果为企业在数字化转型中的资源优化提供了科学的决策依据，能为绿色制造企业在数字经济条件下进行资源配置与优化时提供一些参考，旨在推动绿色制造企业实现可持续发展，促进经济由高速增长向高质量发展转变，实现资源配置与优化技术的不断融合，为绿色制造的发展提供更多可能性。

在全球数字经济浪潮和“双碳”目标下，企业数字化转型和绿色创新备受业界和学界关注。本文以2007~2020年中国A股沪深两市的制造业上市公司为样本，实证检验了企业数字化对企业绿色创新的影响及其机制。研究结果表明：企业数字化转型可以显著正向影响企业的绿色创新水平，内部控制在二者之间的关系中具有中介作用；在国有企业、高科技企业和技术密集型企业中，数字化转型对企业绿色创新的积极促进作用更为突出。本文的研究结果为数字化转型与实体企业绿色创新协同发展的理论研究和实践提供了有益的经验证据。

数字化转型与绿色技术创新已成为嵌入国家可持续发展战略的核心命题。本文基于A股主板企业2013~2023年度数据，探究企业数字化转型对企业绿色技术创新的影响及机制路径。研究发现：第一，我国企业数字化转型总体上显著提升绿色技术创新水平，且该影响在考虑了各类稳健性检验后依旧成立。第二，企业数字化转型通过优化人力资本结构来促进绿色技术创新水平。本文有助于强化政府和企业对数字化转型的理论认识，并为企业实现绿色技术创新水平的提升提供了方法指导。

在数字经济与绿色转型双重驱动的背景下，本文基于战略协同理论与动态能力理论，探讨企业数字化转型与绿色化转型的协同效应对可持续发展绩效的影响。以2014~2023年沪深A股上市公司为样本，采用文本分析法测算企业数字化与绿色化转型水平，运用耦合协调度模型评估数绿转型协同度，并以“双元绩效”衡量可持续发展绩效。研究结果表明，企业数绿转型协同能够显著提升可持续发展绩效；高管教育水平对二者关系具有显著正向调节作用；该效应在重污染行业与大型企业中更为突出。研究揭示了数绿转型协同的经济与环境双重价值，为企业高质量转型和政府政策制定提供了实证依据。

在全球绿色低碳转型与数字经济加速融合的宏观背景下，企业如何借助数字化手段推动绿色创新已成为学术界及各界共同关注的核心议题。本研究基于2014~2023年中国A股上市公司数据，实证发现高管团队数字化背景能显著促进企业绿色创新。进一步分析表明，这一过程主要通过缓解融资约束来实现的，而企业的动态能力在此过程中起到调节作用。异质性分析表明，高管团队数字化背景对企业绿色创新的影响在非高科技和劳动密集型行业更为明显。研究建议，企业应重视引入具备数字化背景的高管并强化资源整合能力，政府也应协同发力，通过差异化政策和平台共建，支持企业走好绿色与数字协同发展之路。

文章基于2011~2021年我国30个省域的面板数据，使用门槛模型和路径分析方法，考察数字金融与绿色创新的关系。研究结论发现：数字金融与绿色创新发展势头良好，但地区差异明显。数字金融与绿色创新存在双门槛的非线性关系，该影响存在阶段性逐渐加强，表明数字金融对绿色创新存在明显的边际效应递增效果。数字金融通过平台、产业、经济三大支撑助力绿色创新整体水平提升和内部协调。

数字经济作为一种新型经济形态，正不断融入经济社会各领域的全过程，为传统产业高端化、智能化、绿色化转型升级提供了有效途径。为了探究数字经济与制造业高质量发展之间的关联性，本文基于2013~2021年中国30个省份的面板数据，分别利用熵值法和EBM-GML模型测算数字经济发展水平与制造业绿色全要素生产率，探究数字经济对制造业绿色全要素生产率的影响。研究结果表明：数字经济对制造业绿色全要素生产率有显著的促进作用，数字经济发展水平越高，其对绿色全要素生产率的促进作用越大，且这一结论具有稳健性；数字经济对制造业绿色全要素生产率的影响具有区域异质性，数字经济能够显著提升东部地区制造业绿色全要素生产率，对中、西部地区的影响不显著。建议从加快两化融合发展、实施区域差异化发展策略、培养数字化人才等方面推动制造业高质量发展。

数字经济是我国贯彻新发展理念，推进实现“双碳”目标的重要引擎。文章基于2011~2022年中国大陆30个省(区、市)的面板数据，建立评价指标体系并测度地区数字经济与低碳发展水平，通过构建基准回归模型、空间杜宾模型实证探究数字经济对地区低碳发展的影响，以调节效应模型实证检验绿色技术创新在数字经济助力地区低碳发展中产生的作用。研究发现：数字经济对地区低碳发展存在显著促进作用且存在空间溢出效应；同时，绿色技术创新在数字经济赋能地区低碳发展的过程中起到积极的调节作用。研究结论为数字经济有效推动地区低碳发展提供一定证据支撑及政策启示。

数字化转型提升了企业竞争力，对企业绿色经济发展至关重要。文章选取2013~2022年我国沪深A股上市公司数据作为样本，深入探讨数字化转型对绿色技术创新的影响。实证结果表明，数字化转型能够显著促进企业绿色技术创新，且在重污染企业、高科技企业以及中西部地区，这种促进作用更为突出。机制检验显示，企业数字化转型能够通过缓解融资约束、增加企业研发投入两条路径提升绿色技术创新水平。该研究丰富了绿色创新的相关研究，为实现低碳目标和经济高质量发展提供了理论参考。

通过对2011~2020年全国30个省份的面板数据研究，本文构筑出一套完整的制造业绿色发展和数字化发展的评价指标体系，进而进行实证研究，探讨了数字化发展如何推动制造业的绿色转型和升级。本文的结果表明：总体上，我国数字经济对制造业绿色转型升级有显著正向作用；异质性检验表明，东、西部地区数字经济均可明显促进制造业绿色转型升级，而中部地区影响不显著；作用机制检验表明，数字经济可以通过提升创新水平来促进制造业绿色转型升级。本文依据实证分析结果，给予了相关的政策性建议，政府应采取相应政策来推动我国制造业企业数字化转型、充分发挥数字化新技术和创新水平的中介作用、加大绿色技术研发投入，为制造业绿色转型升级提供更好的平台。

数字经济是新时代中国推动绿色创新，实现高质量发展的重要驱动力，探究数字经济发展对绿色创新效率的影响具有重要的现实意义。本文基于2012~2021年我国30个省份的面板数据，构建双向固定效应模型，实证分析了数字经济发展对绿色创新效率的影响作用。研究发现：数字经济发展水平与绿色创新效率呈显著的“先抑制后促进”的U型关系，并且存在地区异质性；研发投入强度对数字经济发展和绿色创新效率之间的关系具有调节作用。随着调节变量的增大，U型曲线拐点右移，同时U型曲线变得平缓。综合上述结论，本文给出相应政策建议。

数字经济促进了绿色经济中绿色产业结构转型以及绿色技术的创新，为绿色经济发展注入了新动能，同时也带来一些了挑战。如数字经济对环境污染的影响，绿色技术创新落后、绿色经济效率较低和数字技术专业人才不足等，就此提出了相应的解决对策，包括推进绿色低碳技术，增强可再生能源利用，提升消费者绿色消费理念等，充分发挥数字经济在绿色经济发展中的赋能效应，助力我国实现“双碳”目的。

在全球气候治理转型与中国“双碳”战略深化的背景下，数字经济与绿色消费的深度融合成为推动经济社会绿色转型的关键路径。本研究基于行为经济学与数字技术动态干预视角，系统探讨数字经济赋能绿色消费行为的实现机制。通过文献分析与理论建构，提出数字经济通过数字技术重塑消费者认知、强化群体认同及构建可持续闭环的三重路径，激发绿色消费内生动力。同时，研究发现，数字工具在降低环境信息认知门槛的同时，因数字鸿沟、个体理性与群体理性冲突及信息安全问题，可能加剧技术排斥与价值失衡。对此，需构建政府引导的从认知到行为的政策体系、市场驱动的激励兼容模式及社会培育的理性生态，平衡技术赋能与伦理约束，推动绿色消费从理念倡导转向可持续实践，为数字经济与生态文明协同发展提供了理论与实践参考。

推动绿色创新发展是推动高排放、高能耗向绿色低碳模式转型升级，实现“碳达峰、碳中和”的关键路径。本文基于我国30个省份2008~2020年面板数据，从工艺创新和产品创新两维度探究了数字经济影响绿色技术创新机理。研究发现：区域数字经济发展水平对产品和工艺创新均有显著的正向影响，就异质性分析而言，数字经济对绿色技术创新的直接影响效应在环境规制强的地区更加显著。

在可持续发展战略深入推进的背景下，数字经济以其高效、精准、可追溯的技术特性，为绿色消费的普及与深化提供了新的赋能路径。本文围绕数字经济赋能绿色消费，系统探讨了数字经济赋能绿色消费的经济目标、环境目标和社会目标，阐述了其在数字经济在绿色生产与制造，绿色物流与供应链等领域的应用，并通过以上分析提出了完善数字化基础设施、构建智能化绿色消费引导等路径实现绿色消费转型的具体策略。

新发展阶段下，数字经济作为经济社会发展的新动能，对推动城市绿色高质量发展起着重要作用。本文基于2016~2023年江苏省13个地级市的面板数据，使用熵值法测度各城市数字经济指数及绿色高质量发展指数，运用双固定效应模型、中介效应模型、调节效应模型等方法实证检验数字经济对江苏城市绿色高质量发展的影响及路径。研究发现：数字经济对城市绿色高质量发展具有显著的带动作用；数字经济能够通过提高科技创新水平促进城市绿色高质量发展；绿色创新在科技创新对绿色高质量发展影响中起正向调节作用；数字经济对城市绿色高质量发展存在显著的分区域、分水平、分指标异质性效应。基于以上结论，本文认为企业政府及相关部门应积极推动数字经济基础设施建设，同时应实施区域发展战略，以促进区域间协同发展。除此以外，还需重视绿色创新这一调节机制、科技创新这一中介机制，推动数字经济赋能城市绿色高质量发展。

利用2011~2020年中国30个省份的面板数据，探讨了数字经济对产业结构升级的影响效应。研究发现：数字经济对产业结构升级具有显著的促进；绿色创新绩效提升是数字经济推动产业结构升级的重要机制；门限检验表明，数字经济与产业结构升级之间存在边际效应递增的非线性关系；异质性检验结果显示，数字经济对产业结构高级化的促进作用在各区域都得到了体现，但对产业结构合理化的影响则仅在部分地区显著。因此，应充分释放数字经济在产业结构升级中的红利，继续提升绿色创新绩效来实现产业结构升级。此外，实行差异化的数字经济发展战略，以更加有效的方式促进产业结构升级。

在中国经济快速发展背景下，伴随工业化和城镇化的加速，资源过度消耗与环境退化问题严重，亟需向绿色低碳发展模式转型以保障可持续发展。该研究旨在探讨“宽带中国”政策作为数字基础设施建设的国家试点，如何影响并促进城市绿色经济发展，并解析其作用机制。基于此，在技术创新效应与产业升级效应的理论框架下，该研究运用渐进双重差分模型，对2007~2020年中国285个地级市的面板数据进行实证分析，考察数字基础设施建设对城市绿色全要素生产率的影响。研究发现：第一，数字基础设施对城市绿色经济发展具有显著的促进作用；第二，其作用机制主要通过提升技术创新能力和推动产业升级两个核心路径实现；第三，受区域禀赋差异影响，数字基础设施的赋能效应呈现出显著的空间异质性特征。

数字经济、产业结构升级以及绿色全要素生产率都是经济高质量发展的重要表现，为研究三者的关系，本研究基于全国279个地级市的数据，在分析三者的时间演化趋势以及耦合协调发展的基础上，进一步研究了三者的互动关系。结论如下：1) 数字经济、产业结构升级、绿色全要素生产率之间的耦合协调关系从严重失调阶段逐渐向中级协调阶段发展。2) 从全国层面看，数字经济、产业结构升级受到自身发展路径的正向影响。数字经济、产业结构升级之间存在双向互动影响，绿色全要素生产率在短期内会抑制数字经济以及产业结构升级。3) 通过方差分解预测分析，三者发展更依赖于自身路径。相较而言，绿色全要素生产率比产业结构升级对数字经济更有解释力，数字经济比绿色全要素生产率对解释产业结构升级更有解释力，但是不同地区存在异质性差异。

黄河流域作为我国重要的生态屏障和经济带，在国家区域发展格局中具有举足轻重的地位。然而长期以来，流域内生态环境脆弱、水资源紧张、产业结构偏重等问题制约了高质量发展。为此，国家明确提出“黄河流域生态保护和高质量发展”重大国家战略，要求在保障生态安全的前提下，推动经济社会协调可持续发展。与此同时，“双碳”目标的提出，也进一步强化了绿色金融在引导资源配置、促进产业转型、推动绿色低碳发展的关键作用。在黄河流域高质量发展进程中，生态环境修复与产业绿色转型亟需大量资金支持，而数字经济的发展恰好为绿色金融注入了新的活力。通过数字化手段，可以实现对流域生态环境的动态监测和数据共享，帮助金融机构科学评估绿色项目效益，提升融资效率。

“绿色化”“贸易出口”和“数字化”是中国未来经济发展的重要方向。厘清外商直接投资、数字经济与绿色创新效率的关系将有利于我国实现建设生态文明的千年大计。基于2013~2023年我国省级层面面板数据，在此基础之上构建面板回归模型，深层次了解外商直接投资视角之下，数字经济对绿色创新效率发展的作用。研究结果表明：我国绿色创新效率取得了明显的提升，但是整体发展还不够成熟呈现出阶梯式的发展趋势；外商直接投资能正向调节数字经济对绿色创新效率的促进作用。为此，本文从建议制定科学合理的外资引进政策、制定合理的绿色创新政策等角度提出对策建议。

为实现碳达峰、碳中和，进一步探讨数字经济如何影响地区绿色发展，首先分析了数字经济影响绿色发展的作用机理，其次利用湖北省2010年~2021年样本数据，分别构建数字经济与绿色发展的指标体系，采用熵值法估算其发展水平，进而实证分析了数字经济对绿色发展的影响路径。研究发现：数字经济发展水平的提升对绿色发展具有显著正向促进作用，但是对绿色发展中绿色投入、绿色产出影响程度显著不同。鉴于上述结论，围绕数字化基础设施建设、数字化转型、数字化创新等方面，提出数字经济赋能地区绿色发展的具体路径。

“双碳”目标的实现离不开低碳产业的发展，而数字经济在助力企业实现低碳转型的过程中发挥着重要作用。本文通过运用2011~2020年中国31个省级面板数据建立模型，通过熵权法对指标进行客观赋权并计算数字经济和低碳产业的发展水平，分析我国数字经济与低碳产业的发展情况，并验证数字经济对低碳产业发展的驱动效应和中介效应，最后通过模型的内生性检验和稳健性检验来确保结果的准确性。研究与分析结果表明，从整体上看，我国省级数字经济和低碳产业发展水平在2011~2020年间均呈现上升趋势；在回归分析中，数字经济对低碳产业发展具有明显的正向驱动作用；在中介效应中，本文通过数字科技发展这个中介效应可以有效推动低碳产业的发展。因此，根据这些结论，要重视科技的发展，加强数字经济对低碳产业的驱动作用，推动经济社会的绿色、低碳和可持续发展。

以数字赋能企业绿色转型，是实现经济高质量发展的必然要求。本文利用2010~2020年中国沪深A股上市公司数据，将“宽带中国”试点政策作为衡量数字经济的准自然实验，构建多期双重差分模型，实证探究数字赋能对企业绿色转型的影响。结果表明：数字赋能显著促进了企业绿色转型；在经过一系列稳健性检验后，这一结论依然成立。异质性分析结果表明，数字赋能只对东部地区和中部地区的企业绿色转型起促进作用；并且数字赋能能促进国有企业的绿色转型。此研究对促进数字经济赋能企业绿色转型，推动经济高质量发展具有重要借鉴意义。

如何借助数字经济赋能手段实现多方共赢，是新发展阶段推进我国城市绿色发展的关键。本文基于复合生态系统理论构建了城市绿色发展评价指标体系，运用纵横向拉差与效用函数相结合的方法测度了2010~2022年中国266个城市绿色发展水平，分析了数字经济对城市绿色发展的空间影响。研究发现：首先，数字经济对城市绿色发展的空间影响中虹吸与溢出并存，不同竞争优势城市表现出明显的异质性特征。其次，当前城市绿色发展差距保持缩小的趋势，城市在绿色发展方面的空间互动会通过溢出效应提高双方绿色发展增速，同时产生虹吸效应减缓绿色发展差距的缩小速度。进一步地，利用宽带中国政策构造准自然实验，剥离出数字经济的净空间影响。基于空间PSM双重差分模型发现邻近城市在数字经济方面的政策学习行为，会造成虹吸削弱了数字经济的直接效应，但产生的溢出提高了间接效应，最终加强了数字经济对城市绿色发展的总效能，达成了双赢局面。这些结论为进一步优化城市发展政策和缩小城市之间的差距具有重要意义。

近年来，贵州以数字化技术改造传统金融产品和服务，推进数字普惠金融蓬勃发展，为赋能绿色经济发展提供了重要支撑。本文主要分析了数字普惠金融赋能贵州绿色经济发展的现状以及存在的问题，并从协调政府、金融机构和绿色企业三者关系，激发金融供需双方积极性，培养复合型数字金融人才等方面提出了数字普惠金融赋能绿色经济发展的有效路径。

本文聚焦于数字化转型如何推动企业绿色创新，采用单案例纵向研究法，以中联重科为例，从机会资源一体化的动态能力视角深入剖析其内在机制。研究通过多级编码分析，将中联重科的数字化转型划分为数字基础、技术创新和智能应用三个阶段，并分别分析了每个阶段如何通过提升企业的机会能力、资源能力和关系能力，进而推动绿色管理创新、绿色技术创新和绿色协同创新。研究结论表明，数字化转型显著推动了企业绿色创新，且动态能力在此过程中发挥了关键作用。本文基于“前因——过程——结果”的逻辑框架，从动态能力视角构建了“数字化进展——动态能力提升——绿色创新活动”的逻辑链条，揭示了数字化转型不同阶段对企业绿色创新的动态演进路径，为后发企业提供了数字化转型推动企业绿色创新的经验参考和路径建议。

数字化与绿色化已成为我国向高质量发展演进的两大核心趋势，两者正在深度耦合，协同发展。本文基于双化协调理念，构建了建筑企业数字化与绿色化评价指标体系，以两个典型的企业为例，测度2011~2021年建筑企业数字化和绿色化发展水平，利用改进的耦合协调模型计算企业数字化与绿色化耦合协调度，并通过障碍度模型分析影响系统协调发展的障碍因素。研究发现：(1) 建筑企业数字化发展水平和绿色化发展水平整体稳步提高，且绿色化水平基本上一直高于数字化水平。(2) 建筑企业数字化和绿色化的耦合协调度稳步提升，历经了从初级协调发展到良好协调，直至优质协调的递进过程，取得了显著成就。(3) 数字化技术创新、数字化业务创新、近三年环境处罚情况、研发资金投入和高级科研人员比例是系统协调发展的核心障碍因素，要从这几个方面突破才能有效提高耦合协调水平。研究结果符合实际情况，具有良好的适用性，为衡量建筑企业数字化绿色化耦合发展水平、探索其发展与提升策略提供了一定启示。

在全球数字化与绿色化双重转型背景下，本文旨在系统探讨数字贸易赋能跨境电商绿色转型的协同作用机制与具体实现路径，以填补该领域系统性研究的空白。采用文献梳理与理论分析的方法，界定数字贸易、跨境电商及绿色转型的核心概念与逻辑关系，深入剖析数字贸易借助跨境电商平台促进绿色发展的内在机制，并归纳总结其实现绿色转型的典型路径类型。研究发现，数字贸易主要通过贸易虚拟化与过程优化带来的直接减排、信息共享促进的协同治理、产业升级与资源重配置优化、以及政策创新与区域协同的引导等四大机制赋能跨境电商绿色转型；进而梳理出数字技术赋能、贸易成本优化、产业高端化与绿色创新、以及规范治理与企业ESG提升四条关键实现路径。结论认为，数字贸易作为工具，跨境电商作为载体，两者协同能够有效促进绿色转型目标的实现，推动经济效益与环境效益统一，但这一过程具有系统性，需要技术、市场、政策等多方协同发力。

数字经济已经成为我国当今经济发展的一个新的增长点，各类型企业也纷纷加入数字化引领大军，推动企业管理模式、组织形式、生产经营等内部结构转型升级，形成新一轮竞争优势。同时，随着公众环保意识的增强以及“双碳”目标的确立，重污染型企业正逐渐依托数字经济发展潮流，利用数字技术实现企业的绿色技术创新，达到“保护环境”和“经济效益”双重效果。文章选取2012~2022年重污染行业上市公司为研究样本，实证分析了数字化转型对企业绿色技术创新的影响。根据研究结果，数字化转型显著促进了企业绿色技术创新水平；政府环保补助在数字化转型与企业绿色技术创新之间起正向调节作用；数字化转型通过提高企业的信息透明度这一路径提高绿色技术创新水平。

数字化的进程加快，环保发展已逐渐成为企业追求高质量发展的道路。传统模式无法应对减少温室气体的排放、提高效率和协同性要求的转变。数字化技术的发展为资源管理创新提供了支撑，基于数据决策和系统协调成为可能。本文以绿色资源配置为切入点，探讨了数字化变革对企业管理模式的革新作用，发现管理思想融合、团队合作、业务流程的电子化、奖励创新等方面的问题，并提出相应的解决思路。研究认为，数字化赋能有助于提升绿色资源配置的效率与透明度，形成以信息共享和在线销售为基础的绿色发展新格局，为企业长期竞争提供有力支持。

以2012~2023年沪深A股为样本，探究企业数字化转型能否提升其绿色全要素生产率。研究发现：数字化转型显著提升企业绿色全要素生产率，机制分析发现，数字化转型通过提升创新效率进而提升企业绿色全要素生产率。研究不仅为政府制定数字化与绿色化协同转型政策提供了理论依据，也为企业通过数字技术实现绿色高质量发展指明了实践路径。

数字经济飞速发展，行业内竞争加剧，国际对于环境保护的呼声日益强烈，推进绿色技术创新已成为企业在新时代下提高效率、增强竞争力的重要途径，而信息化物流平台又为实现绿色技术创新提供了机会窗口。但通过信息化物流平台实现绿色技术创新是一个多种因素共同作用的复杂过程，现有文献多数考虑单一因素对企业绿色技术创新的影响，鲜少考虑多种因素协同对企业绿色技术创新产生的影响。由此，本研究采用了fsQCA方法，系统性地分析了研发投入、信息化水平、环境规制和政府补贴等因素对绿色技术创新的影响。研究结果显示，这些内外部因素在共同作用下，对物流平台型企业实现绿色技术创新起到关键性作用。特别是，在高研发投入的支持下，结合先进的信息化水平、严格的环境规制和政府补贴政策，企业可以更为高效地实现绿色技术的创新。这一发现不仅为企业提供了具体的发展方向，也为相关政策制定提供了理论支持和依据。

党的二十大报告指出，要推动制造业高端化、智能化、绿色化发展。数字经济背景下，企业绿色创新是实现制造业高质量、可持续发展的重要举措。研究分析了数字赋能的不同类型对促进制造业企业绿色创新行为的内在机理，并进一步论证环境规制对于数字赋能和绿色创新行为关系间的调节作用。通过对我国制造业352份企业调查数据的实证检验发现：数字赋能对绿色创新行为有显著的促进作用；动态能力在数字赋能和绿色创新行为关系中起中介作用；环境规制负向调节数字赋能对绿色技术创新的正向关系；而在数字赋能和绿色产品创新的关系中无调节作用。

本文以南京X钢铁集团为例，探讨数字化转型如何赋能制造业企业的绿色创新，分析其在绿色发展中的实际应用效果。随着国家绿色发展战略的推进，制造业的绿色转型变得愈加重要，尤其在数字经济的背景下，数字化技术如大数据和人工智能正在成为推动绿色低碳转型的核心动力。南京X钢铁在自动化、智能化以及生态化转型等各个阶段，实施了相关数字化战略，极大地提升了生产效率、降低了碳排放，并推动了绿色产品与技术的创新。本研究通过分析南京X钢铁的实践案例，为其他制造业企业提供数字化转型与绿色创新的融合路径支持，旨在为推动行业绿色可持续发展贡献力量。

本文基于2013~2023年中国上市公司数据，研究数字化转型对企业绿色技术创新的影响。研究发现，数字化转型显著促进企业绿色技术创新；数字化转型通过增加企业研发投入，进而促进企业绿色技术创新；数字化转型对绿色技术创新的促进作用在重污染行业、非国有企业中更为明显，在不同类型的数字技术中，人工智能技术的驱动效应最强。本文对数字时代下企业数智和绿色协同转型提供参考建议。

本文在我国政策强调生态文明建设与供应链、产业链升级的宏观背景下，选取天能集团作为研究案例，采用案例分析法，深入探讨了数智化运营管理体系在天能集团绿色供应链转型过程中所发挥的作用。通过对天能集团的案例介绍，详细阐述了公司数智化建设及成果、绿色供应链转型的具体实践。进一步地，本文分析了数智化赋能绿色供应链转型的路径，包括作用机制、转型过程、实施路径及其重要性。最后，基于天能集团转型过程中的财务数据及企业社会责任报告，评估了数智化赋能绿色供应链转型的经济与环境效果。

本文通过研究能源电力产业链供应链发展形势，研判绿色低碳、数字经济、数智转型、创新生态等发展要素，探索电网企业培育强大竞争力、实现可持续发展的核心动能。在研究数据资产、技术创新、运营模式和生态协同等关键能力建设的基础上，研究平台型企业建设的方向，将数字转型、绿色发展等理念融入电网企业供应链核心业务，加快运营模式变革、减少供应链碳排放、促进上下游企业共赢发展，推动行业高质量发展，服务新发展格局。

本文运用2008~2018年A股上市公司样本检验了企业数字化转型对绿色创新的影响。实证结果显示，企业数字化转型有助于绿色创新，工具变量法、滞后控制变量等一系列稳健性检验支持了这一结论。此外，异质性分析表明，在知识产权保护程度较高的地区，企业数字化转型对绿色创新的作用更加显著。本文丰富了企业绿色创新影响因素的相关研究，对推动企业数字化转型、解决企业绿色创新瓶颈具有借鉴意义。

在“双碳”目标与数字经济深度融合的背景下，人工智能正成为企业绿色转型的核心驱动力。本文关注人工智能技术赋能绿色转型的现实意义，聚焦人工智能对企业绿色转型的影响机制，探讨这一过程中潜在的风险挑战及治理对策。研究表明人工智能通过数据驱动的决策优化、生产流程智能化、供应链协同绿色管理以及认知重塑与战略重构四大机制，推动企业实现系统性绿色转型。通过深入分析苏宁易购与徕芬的实践案例，验证了人工智能助力企业绿色零售与智能制造的实践效果。基于此，本文从政府与企业双重视角出发，提出多层次、协同式的对策建议，为推动人工智能赋能企业绿色转型、促进可持续发展提供理论参考与实践指引。

企业绿色创新是推动制造业高质量发展的有效抓手。本文以2015~2022年A股制造业上市公司为研究对象，运用共享投入关联网络DEA模型测度其绿色创新效率，实证分析数字化转型对制造业企业绿色创新效率的影响效应及作用机制。研究结果表明：数字化转型能够显著提升制造业企业绿色创新效率。数字化转型通过缓解融资约束和提升媒体关注度两条路径驱动制造业企业绿色创新效率提升。对于重污染企业、处于成长期与衰退期的企业，以及地处强知识产权保护度地区的制造业企业而言，其数字化转型对绿色创新效率的提升效果更为显著。基于此，本文就如何有效利用数字化转型这一契机推动制造业绿色转型提出相应的对策建议。

本文针对电网企业绿色数智供应链新的发展方向，明确建设绿色供应链，制定长期绿色发展战略及目标路径，绿色发展与供应链智能采购、数字物流与全景质控三大业务相互耦合，并联动产业链企业共建绿色生态，落实绿色减碳举措对供应链全链业务效能水平提升具有强力驱动作用。同时，通过夯实数据互联基础，改变传统单极发起的驱动模式，转变为以数据为核心要素的运营模式，并系统开展内部跨专业场景与外部跨企业场景的智能升级方案规划设计，更多业务场景与数字技术加速融合应用，为物资保供和应急保障、电网建设提供坚强支持。

本文选取2011~2023年制造业上市公司为研究样本，采用双向固定效应模型，系统分析数字化转型对企业高质量发展的影响，并进一步探讨其作用机制。研究从企业经营管理和市场环境的视角出发，围绕技术创新、ESG (环境、社会与治理)表现构建中介机制，分析数字化转型如何通过优化企业创新能力、提升社会责任履行水平促进高质量发展。

基于2010~2022年中国A股上市公司数据，以人工智能创新发展试验区作为准自然实验，从数智融合视角，考察试验区设立政策对企业ESG表现的影响。研究发现：人工智能试验区的设立显著提升企业ESG总体表现，且显著改善企业环境和公司治理表现，但对企业的社会表现影响不显著；企业数字化、智能化、数智融合水平正向调节试验区设立对企业ESG表现的影响；非国有、规模更小、政府补贴更多、数字生态环境更优、高科技以及非重污染的企业ESG表现政策受益更明显。

当前，绿色已成为生态现代化发展的鲜明底色，绿色发展成为企业降低成本、追求可持续发展的必然选择。农村电商作为数字经济和实体经济深度融合的时代产物，具有巨大的发展潜力，要推动农村电商绿色转型，应坚持节约、绿色、共享、创新的原则，以数字化转型为动力，为推动乡村经济绿色、低碳发展、改善农业生态环境贡献新生力量。

近年来，中国积极参与全球气候治理，大力推进生态文明建设，实施绿色低碳发展战略，绿色低碳发展取得显著成效显著。然而，绿色低碳发展是一项系统工程，涉及社会生产生活多个方面，达成双碳目标任重道远，需要对生产生活方式进行系统性的进行的深刻变革。以5G等为代表的信息通信技术(以下简称ICT技术)，具有万物互联、开放架构、无限接入等特征，深度融入社会生产生活各个方面，助推社会生产生活向数字化、智能化纵深拓展，ICT技术为绿色低碳发展提供了新的实现路径。数智化转型与绿色低碳发展两者具有一致的目标和驱动机制，应作为经济社会转型的一体两面、协同推进。

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In disrupted environments, the concept of digitalisation, viability, and sustainability have attracted considerable attention for the last decade. Digital, lean, and green capabilities have stimulated enormous advances in the development of industries. This paper discusses the current state of the art literature regarding sustainable and digital supply chain management performance. It reviews the relationship between digital technologies, lean, green, sustainability, and supply chain performance. A literature review approach, combined with a bibliometric analysis was adopted for robust field analysis. A set of 86 papers has been analysed and synthesised. The analysis of these papers has enabled the identification of the impact of Industry 4.0 technologies on the supply chain performance; the relationship of lean, green, and sustainability capabilities and digital supply chain; and the implications of the digital transformation of those capabilities. It presents a roadmap model integrating lean and green for viable, sustainable, and digital supply chain performance. The study is useful for academics and practitioners as it provides a roadmap framework and a solid background for integrating lean and green in the digital supply chain to achieve sustainable and viable performance as it outlines the necessity for incorporating the sustainability and viability performances in the digital supply chains.

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This chapter explores the dynamic interaction between blockchain technology and digital twins in the context of green investing. It examines the revolutionary influence of the synergy of these cutting-edge technologies on the efficiency, transparency, and dependability of sustainable investing methods. The chapter begins with an informative introduction to the fundamentals of blockchain and digital twins, illuminating their separate functions before revealing their joint potential for strengthening green investment initiatives. A detailed assessment of the most recent improvements in blockchain and digital twin technologies follows, focusing on smart contracts, enhanced data analytics, and real-time monitoring. The actual implementation and effects of this integration are presented via illustrative case studies of renewable energy, sustainable infrastructure, and environmental conservation. This chapter delves deeper into the problems of integrating these technologies, providing practical insights and solutions to technical, regulatory, and operational roadblocks.

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In the era of the digital economy, the rise and application of digital technologies have led to a series of systematic changes and disruptive innovations within enterprises. Based on the quasi-natural experiment of "Integration of Informatization and Industrialization", this paper examines the economic consequences of digital transformation from the standpoint of corporate green innovation, utilizing China's listed manufacturing firms as the research object. Using the DID model, it is discovered that through the implementation of corporate digital transformation, the output of green innovation increases significantly. The conclusions are still robust when using the parallel trend test, PSM-DID, placebo test, and the test of deleting the sample entering the pilot in the current year. Extended analyses find that corporate digital transformation has a greater effect on green innovation in regions with weaker digital economy, in industries with less rivalry, and in firms with larger size. The conclusions of this paper not only advance research on digital transformation and its economic consequences, but also provides theoretical proof and practical insights for advancing corporate digital transformation and enhancing the green development system.

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The successful reduction of carbon emissions in major sectors such as heavy industry and long-distance transport depends crucially on the ability to produce green hydrogen on a large scale. This involves generating hydrogen via water electrolysis, utilizing power sourced from renewable energies. However, persistent challenges, such as dynamic inefficiencies, material degradation, and renewable intermittency, demand a paradigm shift from static control strategies to adaptive, self-optimizing systems. This perspective argues that the synergistic integration of digital twins (DTs) and machine learning (ML) offers a transformative framework for real-time optimization, predictive maintenance, and resilient grid integration. By synthesizing physics-based modeling with data-driven intelligence, DT-ML systems enable closed-loop control architectures that dynamically adapt to operational uncertainties. We analyze the technical foundations of this integration, address critical barriers, and propose actionable pathways for stakeholders to accelerate the hydrogen economy's transition from promise to practice.

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Minimal participation in green agricultural development may be achieved via the conventional integration of agriculture and tourism, which has a minimal impact on farmers’ green output. New traits have emerged as a result of agro-tourism integration with digital empowerment. It was shown that agro-tourism integration with digital empowerment had a stronger impact on farmers’ green output than traditional agro-tourism integration, based on the construction of the dynamic information game model and the case of Xichong, Sichuan. The integration of agriculture and tourism from the perspective of digital empowerment is characterized by “data traceability” and “information diffusion”, which restrains opportunistic farmer impersonation. The feature of “knowledge sharing” promotes the progress of agricultural technology, reduces the cost of green production and increases the probability of farmers producing high-quality agricultural products. The “information matching” feature promotes the symmetry of quality information, and production and sales information at both ends of supply and demand, and raises the prices of high-quality agricultural products. The latter two features jointly enhance the willingness of honest farmers to produce green items by reducing the cost of green production and increasing the prices of high-quality agricultural products. From the perspective of digital empowerment, the integration of agriculture and tourism can further promote farmers’ green production by effectively suppressing opportunistic farmers’ fake behavior and promoting honest farmers’ green production to a greater extent.

Organizations rely on information technology to integrate internally and externally to create process efficiency in increasing competitiveness. Information technology can support digitalization in companies to maintain green supply chain management. Manufacturing companies are required to be able to pay attention to the environment by maintaining the balance of nature. The object of this research is manufacturing companies located in East Java. Data were collected from respondents through questionnaires which were distributed using Google form. The results of the questionnaire distribution were obtained from a total of 108 companies analyzed using the partial least squares method. The analysis shows that digitalization affects supply chain integration, green supply chain, and resilience. Digitalization in the supply chain can form a strong integration, energy efficiency, and effectiveness to survive. Supply chain integration affects the green supply chain and supply chain resilience. Integration in the supply chain system, able to overcome environmental problems and optimize resources. A green supply chain affects supply chain resilience. Supply chain integration, green supply chain, and supply chain resilience affect a firm competitive advantage. Practical research contributions for management to allocate budgets with the needs of application development and supply chain systems within the company. Supply chain digitization is a solid foundation for companies to have a competitive advantage against competitors.

Digital-real integration and green economy have become an important driving force to propel logistics industrial transformation upgrading and sustainable development. This paper analyzed the impact of digital-real integration on the transformation and upgrading of the logistics industry and the role of green economy from the perspectives of endogenous growth theory, green development theory, and industrial organization theory. Utilizing the panel data spanning 2013 to 2022 from 11 cities in Hebei Province, China, this study established the measurement indicator systems of logistics industrial transformation and upgrading, digital-real integration, and green economy, and measured the integrated developmental level employing an entropy weight–TOPSIS–grey correlation model. Further, the benchmark regression model, moderation effect model, and threshold effect model were applied to delve into the influence mechanism of logistics industrial transformation and upgrading influenced by digital-real integration under the green economy. The research results showed that: Digital-real integration contributed favorably to the transformation and upgrading of the logistics industry. The green economy exerted a beneficial moderating influence on the process, where digital-real integration affected the transformation upgrading of the logistics industry, and the moderating effect of the innovation elements was significantly the strongest. Digital-real integration exhibited a single threshold effect, and the moderating impact of the green economy also had a single threshold condition, and once both thresholds were surpassed, digital-real integration significantly promoted the logistics industrial reformation and upgrading. Drawing from the aforementioned conclusions, this study advanced development recommendations in terms of strengthening regional cooperation, intensifying digital-real integration, exerting the effect of the green economy, and establishing dynamic monitoring and evaluation mechanisms.

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Purpose: This study aims to examine and analyze the nexus between Green Intellectual Capital (GIC), Supply Chain Integration (SCI), Digital Supply Chain (DSC), Supply Chain Agility (SCA) dan Business Performance (BP). It also aims to examine and analyze the mediating influence of several variables: (a) the mediating role of SCI on the relationship between GIC and BP, (b) the mediating role of DSC on the relationship between GIC and BP dan (c) the mediating role of SCA on the relationship between GIC and BP.Design/methodology: Quantitative approach is carried out using a survey to the owners or managers, and owners and managers of courier service SMEs in two provinces, namely East Java and Daerah Istimewa Yogyakarta (DIY). These two provinces are known to have a courier service SMEs in a large amount because of its population density and large business transaction. The number of respondents analyzed are 183 SMEs. This study uses purposive sampling with certain criteria. The approach of the model is using Structural Equation Modelling with AMOS 23.Findings: (1) GIC has a significant positive influence on SCI; (2) GIC does not have a significant positive influence on BP; (3) GIC has a significant positive influence on DSC; (3) GIC has a significant positive influence on SCA; (4) SCI has a significant positive influence on BP; (5) DSC has a significant positive influence on BP; (6) SCA does not have a significant positive influence on BP. The results of mediation analysis conclude that: (a) SCI mediates the influence between GIC on BP; (b) DSC mediates the influence between GIC on BP; and (c) SCA mediates the influence between GIC on BP.Research limitations/implications: Selecting respondents using purposive sampling is feared to not be able to generalize the population in the two provinces, namely East Java and DIY. The study also uses a self-administered survey, especially on assessing business performance, thus it is feared that there might be a bias, although it has been compared to similar competitor SMEs. Courier service SMEs also have limitation in implementing digital SC, thus they do not quite understand the questionnaire asked even though the researcher has provided assistance during the research.Managerial Implication: Companies need to improve GIC and DSC through various strategies and policies such as training, workshop, and other intellectual development routinely and intensively. It can be done by cooperating with other parties such as universities and the government. This step should be taken in order to achieve harmony in all activities of supply chain management (SCM). Companies should also carry out an effective and efficient learning process for companies to move more agile and dynamic, therefore BP can increase sustainably and not static.Theoretical Implication: This study provides a theoretical contribution, especially on the nexus between GIC, SCI, DSC, SCA, and BP. DSC becomes a very interesting strategic aspect when it is implemented in the current era, where all the business process cannot be separated from digital-based technology.Originality/value: Studies in Asia, moreover in Indonesia, which integrates GIC and associate it with business performance mediated by SCI, DSC, and SCA is still rare. In this era, there is a need for an increase of digital competition in all human resources of courier service SMEs in Indonesia, especially when the SMEs have not had a good SCM system. Digital supply chain requires GIC, and they must be fast and agile to adapt to technology and environmental turbulence. Keywords: Green Intelectual Capital (GIC), Supply Chain Integration (SCI), Digital Supply Chain (DSC), Supply Chain Agility (SCA) and Business Performance (BP).

Abstract The study was designed to provide an answer to the research question regarding the effect of digitalization on sustainability reporting and to reveal the mechanisms underlying this relationship. The methodology included data collection from 371 small‐ and medium‐sized enterprises (SMEs) originating from Ghana, by using a structured questionnaire. Further on, we employed the structural equation modeling (SEM) technique to analyze the relationships among our research variables. The findings showed that the effect of digitalization on SMEs' sustainability reporting is insignificant negative while sustainability competence fully mediated the relationship. The nexus between digitalization and sustainability competence was positively moderated by green knowledge integration. Similarly, stakeholder pressure was found to positively moderate the relationship between sustainability competence and sustainability reporting. To the best of our knowledge, this is the first study to approach digitalization's impact on sustainability disclosure in the Ghanaian SMEs' sector, resulting in manifold valuable policy and managerial practice implications.

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This study explores the relationship between digital green technology innovation (DGTI) and corporate environmental performance (CEP) utilizing a sample of Chinese A-share listed firms from 2010 to 2022. The primary finding indicates that DGTI exerts a significant positive influence on the enhancement of CEP. Investigation of potential mechanisms drawing from the technology-organization-environment (TOE) framework shows that DGTI’s effect on CEP is more pronounced for firms that are faced with heightened stakeholder environmental engagement such as high media monitoring, public environmental monitoring and green investors, and those firms having leadership that includes female managers, managers with political connections, and managers with research and development backgrounds. Moreover, higher technical knowledge complexity, particularly in digital-related fields amplifies the positive impact of DGTI on CEP. Exploratory innovation within DGTI that expands the boundaries of existing knowledge elements outperforms exploitative innovation in enhancing CEP. Overall, this study highlights the environmental returns of digital and green technology integration in promoting green development, providing encouraging evidence that the green transformation supported by digital technology benefits a more sustainable future.

This study investigates the interrelationship between digital transformation alignment, eco-digital resilience, and green technology adoption in Indonesian traditional culinary MSMEs. Using a mixed-methods approach with quantitative dominance (N=334) and supporting qualitative analysis (25 in-depth interviews), this research examines how traditional culinary businesses integrate digital technologies and sustainable practices while preserving culinary authenticity as their competitive advantage. PLS-SEM analysis reveals significant positive relationships between eco-digital resilience and green technology adoption speed. The study introduces a novel Eco-Digital Resilience (EDR) construct that captures MSMEs' capacity to adapt to technological and environmental demands without compromising cultural essence. Findings indicate a paradigm shift in perception, where digitalization is increasingly viewed as an enabler rather than a threat to culinary heritage preservation. Economically, sustainable culinary MSMEs command a 15-20% price premium with a 14-month payback period for green technology investments, while digital systems reduce food waste by 35% and gas usage by 25%. Demographically, the research identified female dominance (54.7%) in sector leadership but concerningly low youth participation (9.3%), signaling a regeneration crisis threatening traditional culinary knowledge transmission. The study proposes a hybrid traditional-digital conceptual framework that reconciles the apparent dichotomy between cultural preservation and technological innovation. This integration enables culinary MSMEs to not only survive digital disruption but contribute to sustainable preservation of Indonesia's rich culinary heritage. These findings have significant implications for policymakers, particularly in cultural preservation, tourism development, and gender-responsive MSME support programs.

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The rapid digital transformation and the imperative for sustainable practices have made it crucial for Chinese manufacturing enterprises to adapt and achieve green product innovation by effectively utilizing digital technologies. This study takes a resource-based perspective from strategic management and develops a chain mediation model to examine how Chinese manufacturing enterprises can achieve green product innovation through digital empowerment. A questionnaire survey was conducted with 229 managers, and a multiple mediation model was employed to test the hypotheses. The findings highlight that a higher level of digital business intensity positively influences green product innovation, with resource integration playing a significant mediating role. However, the mediating effect of resource reconfiguration is found to be non-significant. Furthermore, there exists a sequential chain mediation effect of resource integration and resource reconfiguration in the relationship between digital business intensity and green product innovation. To ensure successful green product innovation, Chinese manufacturing enterprises need to focus on accumulating R&D experience and knowledge through resource integration, enabling them to identify latent market demand and develop corresponding green products. This approach facilitates an organic fusion of incremental and breakthrough innovation. The study contributes to the advancement of management paradigms driven by digitalization and the theory of green product innovation, offering valuable insights for Chinese manufacturing enterprises seeking to achieve green innovation through the effective utilization of digital technologies. Additionally, it provides practical implications for enhancing the adaptability of Chinese manufacturing enterprises to market demand and promoting the adoption of “dual carbon” practices.

With climate warming, the human living environment faces significant challenges, and global environmental protection and sustainable development are accelerating. As a result, ESG has become an essential area of research. This study explores the impact of employees’ perceptions of corporate ESG performance on green innovation, focusing on the moderating role of digital transformation. A survey was conducted among 316 employees from the wholesale, retail, IT, and computer services industries to validate this study. Research results show that employees’ cognitions of corporate ESG performance have a positive impact on green innovation. In addition, digital transformation plays a positive moderating role in the impact of the environmental (E) and social (S) dimensions of ESG performance on green innovation. These findings not only highlight the critical role of personal awareness and ESG management concepts in future corporate strategies but also indicate the importance of the extent of digital transformation in companies to improve innovation performance.

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<p>This article explores the integration of Eco Cities and Smart Regions to create sustainable and innovative urban environments. Eco Cities focus on environmental sustainability through renewable energy, waste management, and green infrastructure, aiming to reduce ecological footprints and promote healthy lifestyles. Smart Regions, on the other hand, utilize advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics to enhance public service efficiency, optimize resource use, and foster economic development. The study highlights how combining these two approaches can lead to significant benefits, including improved operational efficiency, better quality of life, environmental resilience, and active citizen participation. Case studies of cities like Copenhagen and Singapore demonstrate successful integration, showcasing achievements in sustainability and technological innovation. The article also identifies the main challenges in this integration, including technical compatibility, cybersecurity risks, high initial investments, digital inequality, and the need for robust governance frameworks. Overcoming these challenges requires collaborative efforts among governments, private sectors, and civil society, as well as innovative financing strategies and capacity-building programs. Future considerations emphasize the need for a holistic approach to urban planning that incorporates emerging technologies, flexible and adaptive strategies, and inclusive citizen engagement. By addressing these factors, cities and regions can become more resilient, sustainable, and inclusive, meeting the needs of both current and future generations. This integrated approach promises to transform urban environments into hubs of sustainability and innovation, driving long-term positive outcomes for society and the environment.<strong></strong></p>

• Green finance has a nonlinear effect on carbon emission intensity, it can effectively reduce carbon emission intensity in the early stage, but the effectiveness decreases until it fails or even produces adverse effects. • The digital economy can effectively regulate the role of green finance in reducing carbon emission intensity and delay the arrival of failure points. • Green finance affects carbon emission intensity by non-linearly influencing green innovation and the level of marketization. • Reducing carbon emission intensity requires the synergy of multiple factors. Amid the global push for sustainable development, reducing carbon emission intensity is essential. Green finance serves as a crucial instrument, yet its effects at different stages of development remain underexplored. Using panel data from 30 Chinese provinces (2011–2020), this study employs quadratic, moderation, and mediation models to examine the nonlinear effects of green finance on carbon emission intensity, the moderating role of the digital economy, and the mediating effects of green innovation and marketization. Results show that green finance significantly reduces carbon emission intensity in the early stages but loses effectiveness beyond a certain threshold. The digital economy mitigates this diminishing effect, helping reduce carbon emission intensity at critical points. Additionally, the mechanism test results indicate that GF exerts a nonlinear influence on green innovation and marketization, initially promoting them but with diminishing effects over time, and indirectly impacting carbon emission intensity. The study highlights the importance of accounting for diminishing effectiveness when formulating green finance policies. To ensure long-term impact across different development stages, it is vital to integrate complementary factors, such as the digital economy. Future research should focus on dynamically evaluating green finance policies and examining the role of other economic and market factors, aiming to optimize environmental and economic outcomes at various stages of development.

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Purpose While it is known that digital transformation facilitates data flow in supply chains, its importance on green supply chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of digital transformation in GSCM by investigating the interconnections between these concepts and providing an integrative view of a smart green supply chain management (Smart GSCM). Design/methodology/approach This adopts a configurational perspective on digital transformation and supply chain management (SCM) to investigate the different dimensions of Smart GSCM and their contribution to green performance. Therefore, this paper analyzes data from 473 manufacturing companies using regression techniques. Findings The results show how smart supply chain contributes to green performance through managing green relationships (external GSCM activities) and establishing green operations (internal GSCM activities). Furthermore, this paper finds partial mediating effects for external and internal GSCM activities on green performance. These findings show that smart supply chain (i.e. digital transformation strategy and front-end technologies, supported by several back-end technologies) is directly associated with higher levels of GSCM. It is specifically associated with one of the internal dimensions of green operations, namely, green purchasing activities. Hence, the findings suggest that digital transformation alone is insufficient to achieve green performance, needing a GSCM configuration to mediate this effect. Practical implications This study calls attention to how managers should integrate these at least three different perspectives of SCM: digital transformation, external relationships and internal operations to increase green performance. Originality/value As the main contribution, this study provides a configurational and holistic understanding of the different dimensions and mechanisms in Smart GSCM.

Global concern over environmental pollution has sparked the adoption of green business practices, which are essential for the sustainability of SMEs through green economy initiatives and renewable resources. This study aims to analyze the integration of circular and digital economy policies along with social protection policies in supporting green business innovation among culinary SMEs. By emphasizing the significance of government roles and innovation capabilities, the paper proposes that policies promoting environmentally friendly practices and social security can enhance sustainable performance in alignment with SDG principles. The study employs a quantitative approach, surveying 200 culinary SMEs in Surabaya City in Indonesia, a city known for its vibrant SME sector and commitment to sustainable practices. The data analysis, conducted using PLS-SEM through SmartPLS 4, reveals that circular economy policies (t-test = 6.503; p-value = 0.000) and social security (t-test = 3.848; p-value = 0.000) significantly enhance green business innovation, while digital economy policies are not significant (t-test = 0.725; p-value = 0.468). Furthermore, green business innovation positively impacts sustainable performance (t-test = 24.418; p-value = 0.000). However, internal innovation capabilities do not moderate the relationship between integrative policies and green business innovation. The findings indicate that government policies significantly influence green business innovation in MSMEs, particularly through circular economy regulations. Regulatory support and incentives are crucial for driving environmental sustainability and enhancing competitiveness. Strengthening digital economy policies through improved technology access and digital literacy will further support green innovation, while investments in internal innovation and human resources are vital for sustainable growth. AcknowledgmentThis study is funded by the Riset Kolaborasi Indonesia (Grant No. B/43869/UN38.III.1/LK.04.00/2024) by LPPM Universitas Negeri Surabaya.

Although building enterprises are actively developing towards the direction of an integrated building supply chain (IBSC), they still face many difficulties in digital green innovation (DGI) activities. The purpose of this study is to reveal the interaction mechanism between the digital integration degree, green knowledge collaboration ability, and the DGI performance of IBSC enterprises in DGI activities under the influence of environmental characteristics of the integrated supply chain. In this study, firstly, a hierarchical regression method and a structural equation model are used to empirically study the static mechanism of DGI among enterprises in the IBSC. Secondly, this study adopts a complex system theory to construct a logistic dynamic analysis model to explore a dynamic evolution mechanism. The results of the study are as follows. (i) The digital integration degree and green knowledge synergy ability of the IBSC are conducive to improvements in digital green innovation performance among the enterprises involved in this chain. The digital integration degree of this chain is the dominant factor affecting the performance of digital green innovation among these enterprises. (ii) The digital network capability of this chain has a significant impact on its digital integration degree but has no significant effect on green knowledge synergy ability. The quality of digital relationships in the IBSC affects both the digital integration degree and green knowledge synergy ability. It has a higher impact on the digital integration degree than on the synergy ability of green knowledge. The resilience of the IBSC can effectively promote the improvement of digital integration and green knowledge synergy ability, but has no significant effect on digital green innovation performance. (iii) In the early stage of an IBSC, the effect of the digital integration degree on DGI performance is more obvious. Over the long term, under the effect of different digital relationship qualities of the IBSC, green knowledge collaboration ability plays a pivotal role. Improving this ability is conducive to the continuous improvement of DGI performance.

Based on data from 30 provinces in China from 2013 to 2022, this paper employs the Spatial Durbin Model to analyze the effect of integration development of digital intelligence on the quantity and quality of green technology innovation and its regional heterogeneity. The moderating effects of degree of nationalization and green purchasing are further explored. The results show the following: (1) The integration development of digital intelligence can not only increase the quantity of green technology innovation, but also significantly improve the quality of green technology innovation. Meanwhile, the integration development of digital intelligence has a negative spatial spillover effect on the quantity and quality of green technology innovation in neighboring regions. (2) There is significant regional heterogeneity in the improvement effect of digital intelligence integration development on the quantity and quality of green technology innovation and its spatial spillover effect. Moreover, the integration development of digital intelligence realizes the “quantity increase and quality improvement” of green technology innovation mainly by generating a resource allocation effect, scale economy effect and technology promotion effect. (3) Degree of nationalization negatively moderates the impact of integration development of digital intelligence on the quantity and quality of green technology innovation, while green purchasing positively moderates the impact of integration development of digital intelligence on the quantity and quality of green technology innovation, both of which have significant spatial spillover effects.

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Abstract In the context of sustainable development, countries around the world shed more light on green innovation in their environmental policies, and the digital economy may take a vital part in improving green innovation. Predicted on the panel data of 278 cities in China from 2011 to 2019, this research administrates the principal component analysis (PCA) to evaluate the advancement level of the urban digital economy and employs the number of urban green patent applications to represent green innovation level. Through the benchmark regression model, the mediating effect model, the spatial Durbin model, the dynamic threshold panel model, and the gradual difference‐in‐difference model, this paper explores the direct effect, indirect effect, spatial effect, nonlinear relationship, and policy effect of that digital economy has on green innovation. The development of the digital economy can improve green innovation levels in indirect ways, such as by boosting the degree of economic openness, optimizing the industrial structure, and expanding the market potential, and as economic openness, industrial structure, and market potential advance, the promotion intensity of digital economy on green innovation is becoming lower and lower. The development of green innovation has an obvious spatial spillover effect. Still, the enhancement of green innovation in more developed regions may inhibit green innovation in less developed regions due to talent flow and industrial transfer. Finally, the gradual difference‐in‐difference model founded on the ‘Broadband China’ pilot policy supplementarily verifies that digital economy enhancement can substantially advance urban green innovation.

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The digital economy is an important engine to promote sustainable economic growth. Exploring the mechanism by which the digital economy promotes economic development, industrial upgrading and environmental improvement is an issue worth studying. This paper takes China as an example for study and uses the data of 286 cities from 2011 to 2019. In the empirical analysis, the direction distance function (DDF) and the Global Malmquist-Luenberger (GML) productivity index methods are used to measure the green total factor productivity (GTFP), while Tobit, quantile regression, impulse response function and intermediary effect models are used to study the relationship among digital economy development, industrial structure upgrading and GTFP. The results show that: (1) The digital economy can significantly improve China's GTFP; however, there are clear regional differences. (2) The higher the GTFP, the greater the promotion effect of the digital economy on the city's GTFP. (3) From a dynamic long-term perspective, the digital economy has indeed positively promoted China's GTFP. (4) The upgrading of industrial structures is an intermediary transmission mechanism for the digital economy to promote GTFP. This paper provides a good reference for driving green economic growth and promoting the environment.

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Whether the digital economy can effectively promote agricultural green development is crucial to the realization of agricultural rural modernization. This study empirically analyzes the impact of the digital economy on agricultural green development and the mechanism of action based on panel data of 30 Chinese provinces from 2011 to 2020. The results reveal that (1) the digital economy can significantly improve the green development level of China’s agriculture; the dividends in the eastern region and central region are significantly higher than that in the western region, and there is regional heterogeneity. (2) The role of the digital economy in promoting agricultural green development has a nonlinear characteristic of increasing “marginal effect.” (3) The digital economy has a significant spatial spillover effect, which can have a positive impact on agricultural green development in the surrounding areas. (4) The construction of “Broadband Countryside” can improve the development of the rural digital economy and indirectly promote agricultural green development. This study deepens our understanding of the internal effect and interval relationship of how the digital economy enables agricultural green development and provides the theoretical basis and practical suggestions for optimizing digital facility construction and high-quality agricultural development.

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Abstract In the context of the outbreak of the COVID‐19 pandemic and China's “digital power” strategy, the realization of a green shift of manufacturing has become a necessary condition to promote the economy, and the digital factor has increasingly become a new driving force. The DEA‐Malmquist index and entropy method were used to measure the manufacturing green total factor productivity (GTFP) and the level of digital economy level from 2011 to 2018, respectively. This study then explored the impact of digital economy on manufacturing GTFP based on the system generalized method of moments (GMM) model, as well as the adjustment effects of talent aggregation and financial scale according to the moderating model. This research came to four conclusions. (1) The digital economy can significantly improve the manufacturing GTFP of China, and the influence shows the characteristic of a “marginal increase”; (2) notably, the perspective of manufacturing GTFP decomposition indicates that the digital economy exerts a significant positive effect on manufacturing technical efficiency during the current period but obviously hinders technical progress; (3) interestingly, a mechanistic test showed that the two dimensions of innovation environment—talent aggregation (0.385) and financial scale (0.359)—play critical moderating roles in the influencing process; and (4) the influence has evident regional heterogeneity—it is significantly positive in the east and negative in the central region and west. Finally, corresponding policy suggestions are suggested.

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Digital green innovations are being implemented in manufacturing to help organizations achieve sustainability by adopting sustainable development practices (SDPC). However, little is known about the impact of the information management process (IMP) on organizations' digital green innovation. To address this gap, we devised a multidimensional framework based on the resource-based view (RBV) theory that serves as a basis for sculpting how the IMP captured and sustained organizational digital green innovation via SDPCs. 533 respondents from big and medium-sized manufacturing businesses in China were surveyed, and data were analyzed using the structural equation modeling (SEM) approach. The study makes numerous significant findings. <i>Firstly</i>, the SDPC's dimensions (environment, economic, and social) are considerably improved by the IMP' dimensions (acquisition, dissemination, and application). <i>Secondly</i>, SDPC's dimensions are critical for attaining organizations' digital green innovation. <i>Thirdly</i>, SDPCs' implementation mediates the linkage between the IMP and organizations' digital green innovation. Our findings suggest that investing in and implementing cutting-edge technology and sustainable practices are critical for long-term success. Still, soft issues, such as organizational information management, are equally critical in today's information-based economy. Finally, in light of the study findings, we present theoretical and managerial implications.

Purpose By discussing the spatial spillover effect and regional heterogeneity of digital economy and green agricultural development level, this paper aims to provide countermeasures and suggestions for the better development of green agriculture in the contemporary era when digital economy is universally developed and at the same time provide development suggestions suitable for green agriculture's development characteristics and initial conditions for different regions. Design/methodology/approach This paper discusses the theoretical foundation of the digital economy and green agriculture development and utilizes panel data from 30 provinces in China from 2011 to 2018. By employing the Super-Efficiency Slack-based Measure and Malmquist-Luenberger (SBM-ML) model based on unexpected output to measure the total factor productivity of green agriculture and employing the spatial panel Durbin model to empirically test the spatiotemporal effects of the digital economy on green agriculture development from both temporal and spatial dimensions. Finally, the model is tested for robustness as well as heterogeneity. Findings The research findings are as follows: First, from the perspective of time effect, digital economy has a continuous driving effect on the development of green agriculture and with the passage of time, this effect becomes more and more prominent; second, from the perspective of spatial effect, digital economy has a significant positive impact on the development of local green agriculture, while digital economy has a significant negative impact on the development of surrounding green agriculture. Finally, the impact of digital economy on the development of green agriculture shows significant differences in different dimensions and regions. Originality/value As an important driver of economic growth, the digital economy has injected new impetus into agricultural and rural development. Along with the intensifying environmental pollution problems, how to influence the green development of agriculture through the digital economy is a proposition worthy of attention nowadays. This paper analyzes the relationship between the digital economy and agricultural green development in multiple dimensions by exploring the temporal and spatial spillover effects of the digital economy on agricultural green development, as well as the heterogeneity in different dimensions and in different regions and derives policy insights accordingly in order to improve relevant policies.

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Green technological innovation is one of the endogenous drivers of green economic growth, and digitalization can promote green economic development in the form of industrial empowerment. The interactive relationship and the degree of influence between digitalization, technological innovation, and green economic development is thus an urgent issue to be addressed. Based on the panel data of 30 Chinese provinces from 2011 to 2019, we measured digitalization, technological innovation, and green economic development for the first time using the entropy method and included them in the same analytical framework by constructing a PVAR model to empirically test their interrelationship and degree of influence. Our findings suggest that: (1) There is an inertial development and self-reinforcing mechanism among the three variables. (2) The impact of digitalization on green economic development has a positive promotion effect, while the impact of technological innovation on green economic development is not significant. (3) The impact of green economic development on technological innovation has a positive promotion effect in the short term, but this effect gradually declines and tends to zero in the long term. Finally, based on the findings, several practical suggestions are made.

In this study, to discover how the growth of digital agriculture has impacted agricultural green total factor productivity (AGTFP), we take panel data from 2011 to 2019 for 30 Chinese provinces as the research object, measure the growth of AGTFP and digital agriculture development using the SBM-ML and entropy method, and use a fixed effect model to analyze the effects of digital agriculture development on AGTFP. The results demonstrate that (1) from the time-series characteristics, digital agriculture presented a steady growth state from 2011 to 2019; (2) during the study period, the technical efficiency index was slightly lower than the technological progress index in the AGTFP index, meaning that there is room for further development; (3) the relationship between the growth of digital agriculture and AGTFP presents an inverted U-shaped curve, with human capital playing a moderating role. Finally, corresponding countermeasures are proposed in four aspects: strengthening the construction of organizational mechanisms, building a standardized base for digital agriculture output, enhancing the traceability and certification of agricultural products, and improving social services in the agricultural industry.

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Limited by ecological conditions, in order to improve the innovation efficiency concerning energy, a change from “extensive” to “green” is required. The development of sustainable technology is the most important productive force. Economic development is centered on finance. Only by mutual penetration and interaction can China’s energy innovation be effectively promoted. “Green GDP (Gross Domestic Product)” is the main direction of China’s current economic development. A sustainable green digital economy is the primary condition for promoting energy efficiency, and it is the key to improving energy efficiency in China to achieve a green transition. Green finance for sustainable development refers to economic finance centered on energy conservation, environmental protection and technological innovation. Attention is constantly paid to the financial industry in China, and we are trying to combine the concept of environmental protection with financial development to promote the continuous development of China’s environmental protection economy. A company’s economic and environmental benefits will be improved from the point of view of improving resource conservation and reducing the environmental impact of equipment and processes. To achieve this goal, the “efficiency effect” of the financial system needs to be fully exploited to maximize energy efficiency. An empirical study about the relationship of financial performance and energy efficiency in the green sector is carried out while considering the environmental constraints. The results show that the expansion of the financial scale and the adjustment of the financial structure have increased the energy utilization efficiency by more than 15% from the past to the present and reduced the pollution of the ecological environment by more than 10% nationwide, realizing the effective allocation of resources. Digital finance is a new generation of financial services that combines the Internet and information technology with traditional financial service formats. Including Internet payment, mobile payment, online banking, financial service outsourcing and online loans, online insurance, online funds and other financial services. Therefore, the sustainable development of all aspects of finance has a huge catalytic effect on the doubling of energy utilization efficiency.

Digital green innovation management activities are the core of low-carbon intelligent development of prefabricated construction enterprises (PCEs) for sustainable urban development. PCEs have to seek joint venture partners to avoid the financial risk of digital green innovation projects. The purpose of this study is to develop a conceptual partner selection framework for the digital green innovation management of prefabricated construction towards urban building 5.0. In this study, first, symbiosis theory and six analysis methods were integrated to innovatively build a 3W1H-P framework system for the joint venture capital partner selection of digital green innovation projects. Second, the dual combination weighting method was innovatively proposed to avoid subjective and objective deviation in attribute weight and time weight. Finally, empirical research was carried out to verify the scientific nature, reliability, and practicability of the framework system and selection model. The results of this study show that the framework system and selection model proposed can be used to assist PCEs to select joint investment partners of digital green and innovative projects for sustainable urban development.

Abstract The rapid advancements in the digital economy have created numerous opportunities and solutions for industrial green transformation. However, the complex relationship between these two has received relatively less attention. Therefore, this study analyses how the digital economy impacts industrial green transformation across 30 Chinese provinces. The empirical findings highlight the digital economy's significant role in driving industrial green transformation. Within this dynamic framework, two crucial operational mechanisms have been identified: heightened public awareness of environmental issues and the vigorous innovation of green technologies. It becomes evident that the digital economy can energize and sustain the momentum of industrial green transformation. Notably, this influence is most pronounced in eastern‐central China. However, its impact in western China appears relatively weaker, especially at higher quantiles. We observe a strong correlation between the evolution of the digital economy and industrial green transformation in terms of space and time. Higher spatiotemporal regression coefficients are primarily found in areas south of the Hu line, while lower values are more common in the northern regions. These findings provide insights into how the digital economy can be strategically applied to drive industrial green transformation.

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Digital development offers groundbreaking opportunities for environmental monitoring and protection, as well as for maintaining the overall health of the planet. Through judicious use, global sustainability can be promoted. This study constructs a green innovation network using the green innovation patent data of listed companies of new energy vehicles as empirical evidence. The influence of network structure on green innovation performance is analyzed, and network structure indicators with positive effects are identified. The Exponential Random Graph Model (ERGM) is used to analyze the evolutionary influence on the structure of green innovation network from network configuration as endogenous attributes and digital characteristics as exogenous attributes. We explore the mechanism of improving green innovation performance by digitalization through enhancing the development of green innovation network. The results show that the enhanced structure of innovation network has a significant positive effect on the improvement of green innovation performance. Both "star" and "closed triangle" network configurations can promote the establishment of green innovation cooperation. In terms of digital characteristics, digital technology and digital organization can positively promote the development of green innovation network, while digital environment does not show a significant facilitating effect. Because of the tremendous expansion of digital technology adoption and the necessary infrastructure, enterprises can bridge the technology gap by optimizing digital technology and digital organizations. Enterprises can improve green innovation performance by optimizing digital technology and digital organization to promote the establishment of green innovation cooperation. The government should avoid the ineffective empowerment of digital environment construction on green innovation performance.

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In the context of the increasingly prominent contradiction between economic development and ecological environment, how to promote green development has become the core of sustainable economic development. Digital finance is an innovative financial model with a high degree of integration of finance and digital technology and provides a new opportunity for achieving green development. Based on identifying the mechanisms of digital finance and environmental regulation on green development efficiency, this research uses the directional distance function and Malmquist-Luenberger index to measure the green development efficiency of 30 provinces in China from 2011 to 2020 and then employs a dynamic panel GMM model to empirically analyze the relationships among digital finance, environmental regulation, and green development efficiency. The results of the study show the following. 1) Digital finance contributes to the efficiency improvement of green development. 2) Environmental regulation has not yet crossed the Porter’s inflection point and still has a dampening effect on green development efficiency. 3) The synergy between digital finance and environmental regulation has a positive impact on green development. 4) Digital finance alleviates the financing constraints arising from environmental regulation and to some extent weakens the negative effect of environmental regulation on the efficiency of green development. In view of this, the government should give full play to the active role of digital finance in eco-environmental governance, optimize the top-level design of environmental regulation, and promote industrial structure upgrading and optimal allocation of financial resources.

Agricultural green development is increasingly being discussed in sustainable development. This paper constructs agricultural green development from four dimensions: resource savings, environmental protection, ecological conservation, and quality industrialization. We apply the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to measure agricultural green development and employ a panel dataset of provinces in China from 2011-2019. Then, the dynamic spatial Durbin model is adopted to estimate the spatial effect of digital inclusive finance on agricultural green development. The main findings are as follows: (1) digital inclusive finance effectively promotes agricultural green development, and the promotional effect shows temporary and spatial spillover; (2) regional heterogeneity exists in the spatial effect in the short and long term; and (3) education, digital infrastructure, and traditional finance are important factors influencing this spatial effect of digital inclusive finance on agricultural green development.

With the huge dividends released by the vigorous development of the digital economy, China urgently demand a major strategic transformation from extensive development to green development. The 14th five-year plan period will require China’s green development to firmly create new advantages in the growth of the digital economy. In order to investigate the impact of the digital economy on the green economy, this paper has utilized a panel data model to analyze data from 30 Chinese provinces between 2015 and 2020. Findings from the research have suggested that the digital economy is helpful for advancing the green economy, with the Eastern region having a bigger influence than the central region and the center region having a greater influence than the Western region. Industrial structure and technological innovation are important channels for digital economy to promote green development. According to the aforementioned conclusion, we have proposed the following suggestion: China should actively advance the digital economy, encourage regional coordination in growth, continuously improve the industrial structure and boost technical innovation.

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Based on the perspective of digital finance and technological innovation, this paper analyzes its application in economic development, green economy, and sustainable development. With the continuous development of technological economy, methods such as artificial intelligence, Internet of Things, big data, and cloud computing become increasingly mature. Economic development is inseparable from the empowerment of technology. In this paper, firstly, we introduce the basic concepts and main forms of digital finance and technological economy and list the cutting-edge technologies including blockchain, VR, sharing economy, and other modes. Then, we analyze the application trend of technology economy. Finally, we analyze the examples of digital finance and technological innovation in detail, including tourism economy, digital marketing, sharing economy, smart city, digital healthcare, and personalized education, three hot topics of technology intersection and integration. In the end, we put forward prospects for the development of a digital economy, digital finance, and technological innovation.

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Green development is an essential requirement for the high-quality development. In the context of the new round of technological revolution, the digital economy has injected new momentum into China’s high-quality economic development. This article aims to clarify the relationships among digital economy, green innovation, and green development using Westerlund and Edgerton (2007) cointegration test as well as pooled mean group (PMG) estimation and utilizing yearly data from 274 cities in China from 2011 to 2019. Overall, the results confirm the existence of cointegration relationships between green development and green innovation, between green development and digital economy, as well as between digital economy and green innovation, and support that digital economy and green innovation can affect the green development in the long-term positively. Additionally, while digital economy positively affects the green development in the short-run, green innovation cannot affect the green development. Furthermore, while the long-run positive impact of digital economy and green innovation on green development is generally established among eastern, central, and western regions, the short-run impact of such two factors on green innovation varies among different regions, seeing as both two variables exert no significant impact on green development in western region. Empirical findings offer important policy implications for the policymakers to attach more importance on the emerging economy model such as digital economy or green innovation, which can bring about long-term green development.

With prominent environmental pollution and depleted resources, how to coordinate economic growth and eco-environmental protection to guide green development represented by green total factor productivity (GTFP) is an urgent issue. This study aims to empirically evaluate the direct effect, indirect effect, spatial spillover effect and non-linear effect of the digital economy on green development using the data of 284 prefecture-level cities in China. The empirical results indicate that: (1) the digital economy significantly improves GTFP, which is still valid after testing for robustness, including introducing instrumental variables, taking the “broadband China” pilot policy as a quasi-natural experiment, changing core explanatory variables and dependent variables, and changing the sample size; (2) the influence of the digital economy on GTFP is characterized by significant heterogeneity among resource dependence, geographical location, financial development level and openness level; (3) the mechanism analysis shows that the digital economy promotes GTFP by green technological innovation, industrial structure upgrading and energy conservation; (4) the spatial econometric models indicate that the digital economy significantly enhances GTFP of neighboring cities; (5) there is a non-linear relationship between the digital economy and GTFP using the threshold model. The findings could provide references for policymakers to promote urban green development.

This paper aimed to accurately assess the driving effect of digital inclusive finance (DIF) on green economic growth, better implement DIF-related policies, and promote the development of green economy. Based on the urban panel data from 2011 to 2018 and the DIF index, this paper investigates the impact of DIF on economic green development and its internal mechanism. The results show that there is a significant positive U-shaped nonlinear relationship between DIF and green development. Through the robustness test of the threshold model, instrumental variable model (IV), and system generalized method of moments (SYS-GMM) model, the results are still valid. The mechanism research shows that the DIF can indirectly promote China’s green development by the coagglomeration degree of producer services and optimize and upgrade industrial structure. This study provides policy implications for developing countries around the world to achieve green development by promoting the DIF level.

This research project investigates the direct and indirect influences of the digital economy in promoting the green high-quality development of industry. We analyze the baseline regression, spatial spillover effect, intermediary effect, and threshold effect of the digital economy and its technological innovation processes on the green high-quality development of industry in 31 provinces and cities in China during the period between 2012–2020. The results reveal that the digital economy generates a positive impact and nonlinear incremental character on the green high-quality development of industry, and technological innovation is the mediating factor of both. Digital economy and technological innovation have a threshold effect. When they cross the threshold value, the force will be strengthened. The econometric analysis of spatial spillover shows the green high-quality development of intra-regional and inter-regional industries is promoted by the digital economy. The dimension of regional differences in the analysis shows that the effect of the digital economy is not evident in the western region of China, while the impact is a lot more prominent in the eastern than in the middle area of the country. Study results provide measures of the green high-quality development of industry, such as the application of green scenarios, differential development, and collaborative development in the digital economy.

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Abstract Promoting low-carbon agricultural development is essential for achieving carbon neutrality and peak carbon emission goals. The emergence of digital inclusive finance has opened a new pathway to reduce agricultural carbon emissions. This study uses data from various provinces in China from 2011 to 2021 to explore the impact of digital inclusive finance on agricultural carbon emissions and its mechanism of action. The results show that during the study period, agricultural carbon emissions first increased and then decreased, with the emission gap between the eastern and western regions narrowing, while the gap between the southern and northern regions widened. Digital inclusive finance has an inverted “U-shaped” nonlinear impact on agricultural carbon emissions, with the depth of use and the degree of digitization being key factors. Agricultural carbon emissions only begin to be effectively suppressed when the scale of digital inclusive finance exceeds the peak value. Additionally, the development of agricultural green cooperatives weakens the emission reduction effect of digital inclusive finance, indicating a decoupling between their developments, while the accumulation of human capital enhances its emission reduction effect. Based on this, the government is advised to continue promoting low-carbon strategies and the development of digital inclusivity in rural areas. Financial institutions should develop financial products suitable for agricultural green cooperatives, and agricultural green cooperatives should also provide timely feedback and communication to achieve coordinated development between the two. Furthermore, education and training for farmers should be strengthened to encourage them to learn and adopt new technologies.

As a new engine to promote high-quality development and a sustainable economy, the digital economy (DE) plays a key role in achieving carbon reduction targets. In this paper, we use the "broadband China (BC)" policy as a proxy variable for the DE and employ the panel data of Chinese prefecture-level cities from 2006 to 2019 to investigate the effect of DE development on carbon emission intensity and its mechanism of action. It is found that (1) DE development significantly reduces the carbon emissions of cities and presents dynamic and sustainable characteristics; (2) the results of mechanism tests indicate that DE development is more inclined to reduce carbon emission intensity by improving regional innovation quality than by improving regional innovation quantity; (3) the impact of DE development on carbon emission intensity differs among cities with different characteristic attributes and different environmental regulation intensity, and the emission reduction effect is more obvious in non-resource-based cities, cities with lower environmental regulation intensity, and cities with weaker environmental target constraints; (4) the impact of DE development and innovation-driven development strategies on reducing carbon emission intensity has a policy linkage effect.

Urban areas are at the forefront of economic activity and notably contribute to carbon emissions. Transforming cities to low-carbon models is imperative for addressing climate change. The digital economy (DE) has emerged as a pivotal force in driving global economic progress, offering unique benefits that support urban low-carbon transitions. Despite extensive research on the correlation between DE and urban low-carbon transformation (ULCT), there remains a gap in studies utilizing mathematical models to delve into the intrinsic mechanisms and deeper impacts. This research evaluates the influence of DE on ULCT by examining data from 283 prefecture-level and above cities in China, spanning from 2011 to 2019, through both theoretical frameworks and empirical testing. The analysis reveals that DE substantially fosters ULCT, a conclusion reinforced by rigorous robustness and endogeneity checks. Notably, DE’s impact on ULCT is more significant in southern cities than in northern ones. Interestingly, while DE in the Yangtze River Delta and Chengdu-Chongqing urban clusters showed limited promotion of ULCT, it had the highest impact in the middle reaches of the Yangtze River. DE enhances ULCT through several pathways, including scale economy effect, heightened public environmental awareness effects, and increased income effects, contributing 6.64%, 9.84%, and 16.2%, respectively. Furthermore, the effects of public environmental awareness and income are particularly pronounced in southern regions, unlike in northern areas. This study not only expands the theoretical research on the relationship between the digital economy and urban low-carbon transition but also provides specific guidance and support for related policy formulation and implementation. This helps promote cities toward more environmentally friendly and sustainable development. Furthermore, the conclusions of this study have important reference value for other major polluting countries (such as the US, India, and Germany). Different countries and regions should formulate targeted low-carbon transition strategies based on their own DE development, income levels, and public environmental awareness. This will effectively promote urban low-carbon transitions, achieving a win-win situation for economic development and environmental protection.

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Objective. The purpose of this article is to identify the regional determinants of the low carbon transition in Russian companies. These determinants are related to human capital and digital technologies development in local economic ecosystems.Methods. The study relies on linear regression methods and examines the impact of education, wages, the use of the broadband Internet, cloud technologies and ERP (Enterprise Resource Planning) systems in Russian regions on companies’ motivation to manage their carbon dioxide emissions.Results. The results show that human capital has an ambiguous effect on the behavior of companies that support the low carbon transition. On the contrary, the digitalization of regions is significantly and positively associated with the implementation of environmental and energy management practices in Russian companies, especially among service companies. Conclusion. Low carbon transition is becoming an essential component of the national development strategy, as climate resilience issues directly affect the economic performance of production systems. The study considers two types of factors that influence the implementation of management practices for the low-carbon transition: these are human capital and the digitalization of regions.

The carbon lock-in phenomenon coincides with urban growth due to the latter's significant reliance on fossil fuels with high carbon content. The impact of digital economy expansion on carbon lock-in remains uncertain, despite its emergence as a prominent catalyst for global progress. With panel data for 282 Chinese prefecture-level cities from 2011 to 2020, this study aims to test whether the digital economy inhibits carbon lock-in by using the system generalized method of moments model and by considering the moderating effects of government technology investments and environmental regulations according to the moderating model. The empirical evidence yields the following conclusions: (1) the digital economy has a significant negative impact on carbon lock-in in China; for every 1 percentage point rise in the digital economy, carbon lock-in decreases by 0.1072%; (2) both government technology investments and environmental regulations positively moderate the dampening effect of the digital economy on carbon lock-in; (3) the dampening effect of the digital economy on carbon lock-in is only significant in places with high economic development, in eastern areas, and in regions with high human capital; (4) each percentage point increase in the digital economy leads to a 0.1839% rise in technical innovation and a 0.0124% growth in digital financial inclusion, indicating that the digital economy has the potential to reduce carbon lock-in via both channels; (5) with each percentage point increase in the digital economy, carbon emissions decrease by 0.1829% and carbon intensity decreases by 0.0973%. The findings provide valuable policy suggestions that may guide China's digital economy in mitigating the growth of carbon lock-in.

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The rapid expansion and implementation of digital technologies are profoundly changing our lifestyles, production methods, and modes of exchange. However, whether or not such change can help promote the sustainability of urban socio-environmental systems has not been fully investigated. In this paper, we propose a comprehensive framework that utilizes the spatial Durbin model to investigate whether and how the digital economy contributes to low-carbon urban development, using the panel data of 276 Chinese cities from 2011 to 2018. This framework systematically identifies triple dimensions of low-carbon transition taking place throughout the whole value chain system, i.e. green innovation, production reshaping, and consumption upgrading. The finding reveals that the digital economy in a city exerts a significant mitigating effect on carbon emissions in both local and neighboring cities. It is also observed that digital economy activities play a significant role in alleviating urban carbon emissions due to their capacity to stimulate green innovation and promote sustainable patterns of production and consumption. The robustness of these findings is assessed through the consideration of endogeneity and substitution of the explained and explanatory variables. This paper contributes to a systematic understanding of the linkage between the revolution of digitalization within economic systems and the transition towards sustainability within environmental systems. It also provides valuable insights to policymakers on strategies to promote and accelerate low-carbon development.

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Existing research lacks a systematic and comprehensive analysis of the digital economy (DE)’s impact on the low-carbon transformation of resource-based cities. This study utilizes panel data from 114 of these cities in China from 2006 to 2019 to construct a DE measurement system. Based on the global SBM directional distance function and the Malmquist–Luenberger index (SBM-DDF-GML), we calculated the total factor carbon productivity (TFCP), decomposed the carbon inefficiency value (CIV), and examined DE’s impact, mechanism, and heterogeneity on low-carbon transition development (LCTD) during distinct growth phases of resource-based cities. Based on this examination, we found the following: (1) The DE effectively reduced carbon intensity and inefficiency and improved the total factor carbon productivity in resource-based cities. These findings remained robust after a series of robustness tests. (2) The DE empowered LCTD by improving energy efficiency, upgrading industrial structure, and optimizing innovation factor allocation. Finally, (3) this effect varied across the different city stages, being most significant in mature cities and weakest in declining ones. The research findings provide empirical evidence for the LCTD of resource-based cities.

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Amidst the challenges of climate change and ecological degradation, China's "dual carbon" goals (carbon peak and carbon neutrality) have emerged as a critical imperative, with cities—as primary carbon emission sources—playing a pivotal role whose low-carbon transition efficacy directly determines national target attainment. This research examines how the digital economy empowers urban low-carbon transformation, positing that through innovation and application of digital technologies driving the digitalization, networking, and intellectualization of economic activities, it furnishes novel momentum and opportunities for this transition. Specifically, the digital economy facilitates industrial structure upgrading at the macro level while empowering enterprises to enhance energy utilization efficiency at the micro level; concurrently, it reshapes resident consumption patterns and lifestyles, promoting green consumption and low-carbon living. Mechanisms such as optimized resource allocation, industrial restructuring, technology-driven innovation, and consumption behavior guidance effectively reduce urban carbon emissions and foster optimized energy structures alongside green transformation. The study further explores three enabling models: technology-driven development, industrial integration, and regional coordination, while identifying practical challenges including insufficient digital infrastructure, data security and privacy concerns, and barriers like the digital divide and technology diffusion impediments. Finally, recommendations propose strengthening digital infrastructure, refining data security regulations, bridging the digital divide, and implementing policy guidance and institutional innovation to safeguard the integrated development of the digital economy and low-carbon transition.

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In China, environmental pollution due to municipal solid waste (MSW) over-generation is one of the country’s priority concerns. The increasing volume and complexity of the waste poses serious risks to the environment and public health. Currently, the annual growth of MSW generation is estimated to be approximately 8–10% and will increase to 323 million metric tons (Mt) by 2030. Based on the secondary data collected from a literature survey, this article critically evaluates the recent progress of MSW management (MSWM) in China and offers new insights into the waste sector in the era of Industry 4.0. This helps decision makers in China to plan a smooth transition nationwide to a circular economy (CE) in the waste sector. It is evident that digitalization is a driving force for China to move towards low-carbon development strategies within the framework of CE. Through digitalization, the waste sector has promoted prevention, reduction, reuse, and recycling (3Rs) of waste before waste disposal in landfills. A proper implementation of digitalization-based waste recycling has contributed to an efficient cooperation between the government and private sector, increased job opportunities, and promoted the conservation of resources. It is anticipated that this work not only contributes to the establishment of an integrated MSWM system in China, but also improves local MSWM through digitalization in the framework of a CE.

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Tremendous effects on the global economy in terms of economic, social and environmental costs remind us of the catastrophic consequences of climate change and global warming caused by CO2 emissions. Therefore, accelerating decarbonization of the global energy system should be put in place to curb large amount of CO2 emission from hydrocarbon energy sources on which the current global value chain of production heavily relies.This study focuses on analyzing the effects of renewable energy transition, the digital economy, and the synergy between them on green economic growth in 18 Latin American countries. To capture the multidimensionality of these transitions, the Renewable Energy Transition Index (RETI) and the Digital Economy Index (DEI) are developed using the Principal Component Factor (PCF) technique. The Fixed Effect Panel Threshold Regression (FEPTR) substantiates that renewable energy transition has a significant threshold effect on economic growth and environmental sustainability depending on the level of income and carbon emissions. On the other hand, the Method of Moments Quantile Regression (MMQR) shows that both renewable energy transition and the digital economy have a significant positive impact on economic growth in all quantile groups. For the environmental sustainability, only renewable energy transition is found to have a positive impact in all quantile groups. From the synergistic effect perspectives, the CO2 emissions reduction is observed in both the low and middle quantile groups, but the economic growth promotion is only observed in a low quantile group.

With the growth of electricity consumers purchasing green energy and the development of digital energy trading platforms, the role of digitalized retail electricity markets in the low-carbon transition of electric energy systems is becoming increasingly crucial. In this circumstance, the research work on retail electricity markets needs to be further analyzed and expanded, which would facilitate the efficient decision-making of both market players and policymakers. First, this paper introduces the latest developments in the retail electricity market under low-carbon energy transition and analyzes the limitations of the existing research works. Second, from three aspects of power trading strategy, retail pricing methodology, and market risk management, it provides an overview of the existing operation and mechanism design strategies of the retail electricity market; then, it provides a systematic introduction to the evaluation system and monitoring methodology of electricity markets, which is not sufficient for the current digitalized retail electricity markets. Finally, the issues regarding operation evaluation and platform optimization of the current digitalized retail electricity market are summarized, and the research topics worth further investigations are recommended.

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This viewpoint argues for an explicit focus on digitalization as a key driver of transformative environmental change and innovation in the next decade. We hold that digitalization is more than a landscape concern. Our piece suggests three elements of a critical approach to digitalization: to examine its ubiquitous unfolding, to study it as a real socio-material phenomenon ‘on the ground’, and to analyse how it enables new forms of coordination across sectors. We conclude that EIST scholars must engage critically with the proliferation of digitalization in most or all societal sectors, and with how this sets directions for low-carbon transitions.

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The rapid advancements in digital technologies have prompted organizations to embrace digital transformations (DTs) in order to enhance efficiency, gain a competitive advantage, and achieve long-term sustainability objectives. However, the successful adoption of innovative digital technologies necessitates the careful consideration of various factors, such as stakeholder engagement, resource allocation, risk mitigation, and the availability of resources and implementation support. This study examines the sustainable adoption of innovative digital technologies (DTs) within digital transformations. The data for this study were collected from 760 stakeholders through a questionnaire survey and analyzed using SPSS software (Version 27). This study’s results underscore the significance of considering the efficiency of the transformation process and the long-term sustainability outcomes for organizations. The findings of the analysis clarify that integrating sustainability principles and DT has a positive impact on the effectiveness of the transformation, as indicated by environmental, social, and economic performance indicators. This study’s novelty lies in its focus on incorporating sustainability principles into the digital transformation process. The results of this study demonstrate that organizations’ long-term sustainability outcomes are enhanced when their digital transformation goals align with the Sustainable Development Goals (SDGs). The purpose of this study emphasizes the importance of arranging digital transformations with sustainable objectives to ensure the overall success and longevity of transformation efforts.

The United Nations 2030 Agenda has emphasized the potential of digital technology to enhance sustainability performance, assuming that digital transformation can enable firms’ convergence toward the Sustainable Development Goals. Despite this, the literature is unclear regarding whether there is a positive relationship between digitalization and sustainability, as the effects of digital transformation are controversial. The main goal of this study was to assess the hypothesis that digital technology contributes to the achievement of Sustainable Development Goals within the UN 2030 Agenda. To test this hypothesis, a textual analysis was performed to assess Italian firms’ digitalization efforts; the obtained results were then related to the selected firms’ ESG scores using a regression analysis. The analysis focused on Italian FTSE MIB listed firms for the period 2016–2019. The findings show a positive relation between digitalization and Sustainable Development Goals, highlighting the relevance of digital technology in implementing the sustainability agenda.

This study aims to explore a demoethical model for sustainable development in modern society. It proposes an approach that focuses on organizing activities to improve sustainable development. Specifically, it presents a demoethical model relevant to Society 5.0 and Industry 5.0 organizations. The objective is to identify demoethical values that can drive sustainable development in the era of digitalization. Through a literature review and analysis, this study identifies key components of the demoethical model and provides practical recommendations for stakeholders involved in digital transformation. The analysis of demoethical norms and phenomena, such as education, nurturing, mind, knowledge, science, and honest work, has enabled the identification of values that align with sustainable development in society. The results of the study demonstrate that the notion of a demoethical foundation for sustainability is rooted in the concept of spirituality as the basis for a new societal development scenario and its relationship with nature. The study shows that ideas about the demoethical basis of sustainability are based on the priority of spirituality as the basis of a new scenario for the development of society, as well as the integration of demographic, socio-economical, and ecological components in system-wide modeling.

The article studies the problem of comprehensive assessment of the phenomenon of digital transformation. The paper describes the place and role of digitalization in close mutually reinforcing relationship with other aspects of socio-technical-economic transformation of the 21st century. A phenomenological approach has been proposed to assess direct and indirect manifestations of digital transformation in a wide range of socio-technological areas that ultimately affct economy. Using the example of transportation industry, the intersection of some identifid socio-economic and economic-technological aspects at the level of macroand microeconomics, as well as human existence, has been examined. It has been proposed to consider digitalization as a fild of applied knowledge and competencies, which is just acquiring the phase of formation, from the position of sustainable development for unifiation of diffrent-format manifestations of digital transformation in many areas of life. Digitalization effcts have been brought to the methodological framework of the sustainable development approach as an interrelation of economic, social and technological aspects adapted to real economy. The conclusion has been made about digital transformation as part of overall accelerated socio-technical progress, which implies a deeper and more systematic attitude to the phenomenon of digitalization. It has been proposed to continue research in this approach from expert positions and use the fidings to develop applied methodology for the use of digital technologies in terms of sustainable development.

Digitalization, dematerialization of production and consumption, and structural shifts in the direction of service economy forming do promote to reduction of material use and sustainable development. The paper aims to investigate the role of digital, structural, economic, and social factors in sustainable development promotion in OECD countries. The paper uses the data on digital achievements, social and economic development of OECD member states from World Bank data sources for the period 2007–2018. The random-effects GLS regression model is used, and empirical regression models to estimate the influence of key factors related to digital transformation on GDP per capita and CO2 emissions per capita are constructed. The results of the regression analysis show that using the number of Internet users as an indicator for achievement in digitalization has a positive and statistically significant influence on GDP per capita due to lower transaction costs and higher share service economy. An increase in urbanization rates (as an indicator of capital concentrations and labor specialization) by one percent promotes a GDP per capita increase of 299 USD. Also, an increase in Gini coefficient by one percentage point correlates with decrease in GDP per capita on 196 USD and the reduction of CO2 per capita by 0.12 tones due to the structural shifts in aggregate demand. Still, improvements in digital transformations have no significant environmental effect in OECD members, while processes related to urbanization, income inequality, and share of industrial output are important drivers for CO2 per capita reduction. AcknowledgmentsThe paper contains the results of a study conducted within the framework of research projects: “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy” (No. 0121U100470); “Fundamental bases of the phase transition to an additive economy: from disruptive technologies to institutional sociologization of decisions” (No. 0121U109557).

Environmental pollution remains a serious sustainable development issue. Enterprises, as important agents of sustainable development, are receiving increasing attention regarding their efforts to protect the environment. The rapid development of the digital economy has become a new driver of corporate environmental governance and environmental performance improvements, marking a new sustainable development path. We study the environmental effects of corporate digital transformation from the perspective of environmental performance using Chinese A-share listed companies. We construct a two-step systematic GMM econometric model and find that corporate digital transformation significantly improves environmental performance. Heterogeneity analysis shows that environmental performance improvement through digital transformation is more pronounced among state-owned, large, and heavily polluting enterprises. Mechanistic analysis shows that corporate digital transformation mainly improves environmental performance by enhancing green technological innovation and corporate governance. Further analysis shows a nonlinear relationship between corporate digital transformation and environmental performance. The research not only analyzes the impact of corporate digital transformation on environmental performance from multiple dimensions but also discovers the transmission mechanism of digital transformation that affects environmental performance and verifies a possible nonlinear relationship, providing a theoretical basis and practical reference for promoting corporate digital transformation and sustainable development.

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Purpose Amidst the rapid development of the global digital economy, digital transformation has become a strategic choice that firms must use to respond to the changing times. This study analyzes the impact of digital transformation on corporate environmental, social and governance (ESG) performance. Design/methodology/approach This study analyzes the impact of digital transformation on corporate ESG performance. Findings Using panel data from Chinese A-share-listed companies from 2010 to 2019, the authors found that digital transformation has a positive impact on corporate ESG performance, especially for high-tech firms and state-owned firms. In particular, the authors find that the digital production and digital marketing exert a positive effect on corporate ESG performance. Mechanism tests showed that digital transformation helps promote corporate green innovation, improve information transparency and improve corporate governance, thus enhancing ESG performance. A moderating effect analysis revealed that the positive impact of digital transformation on ESG performance is more significant in firms with government subsidies and chief executive officers (CEOs) with rich career experience. Originality/value Most existing research has confirmed the positive effect of digital transformation on firms' financial performance, whereas fewer studies have focused on the impact of digital transformation on the non-financial performance of firms.

Digital transformation is gradually transforming governments and businesses, and making them more competitive, as well as it offers several opportunities for economic growth and prosperity, as it enables countries to including, more diversified educational opportunities, universal access to the internet and a comprehensive and conducive environment to development. This paper discusses highlights the concept of the sustainable development and how the Communication and Information Technology industry contributes to achieving the sustainable development; therefore, this paper reviews the 17 SDGs (sustainable development goals) and explains how information technology has affect each goal and then it displays the endeavors of Egypt’s government to utilize ICT in achieving sustainable development. These endeavors are represented in the digital projects and initiatives that were launched by the Ministry of communication and information technology (MCIT) in collaboration with other partners whether government entities or the private sector. In this context, this paper consists of five parts. The first part is the introduction, and the second one presents the relationship between the information technology and sustainable development as well as the contribution of digital transformation in achieving sustainable development goals. While the third part reviews the digital transformation in Egypt and its contribution in achieving sustainable development in Egypt. In addition, the fourth part displays the conclusion of the study and the fifth on presented the recommendations. From the literature review, it clears that Egypt has taken a tremendous steps forward the digital transformation and utilizing it in sustainable development.

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With the development of sustainable theory, environmental and resource issues have become one of the major challenges facing human society. As an important part of social economy, enterprises are also an important source of carbon emissions and environmental pollution. With the growth of the digital economy, digital technology has played an important role in improving economic efficiency. Digital transformation can not only enable enterprises to obtain and allocate resources more efficiently and reasonably, but can also provide a powerful driving force for the healthy development of the environment. This can improve the positive role and impact of enterprises on environmental development. Based on the overview of social carbon neutrality and green sustainable development goals, this paper made an in-depth study of digital transformation to help carbon neutrality and green sustainable development. In order to verify its effect, this paper took a medium-sized enterprise as the object, analyzed the growth of its economic and environmental benefits in the process of digital transformation, and compared it with the traditional development strategy. The empirical results showed that in the perspective of the Metaverse, the highest growth rate of environmental benefits of the enterprise would reach 19.6% every month in 2021. From this data, digital transformation based on the perspective of the Metaverse was more able to help carbon neutrality and green sustainable development.

Abstract Leveraging digital transformation to improve environmental performance is critical for sustainability. However, the underlying mechanism in the relationship between digital transformation and environmental performance remains unclear. Through the lens of IT‐enabled organizational capabilities, this study develops a moderated mediation model to examine the mechanisms and boundary conditions through which digital transformation affects environmental performance. Using a sample of Chinese agriculture firms, our findings reveal that digital transformation positively environmental performance through green capability, and this indirect effect is stronger when green culture is higher. Moreover, green culture moderates the relationship between digital transformation and green capability. Our theoretical explanation and empirical evidence contribute significantly to the literature by providing insights on how to leverage digital transformation initiatives to improve environmental performance.

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ABSTRACT This study examines the relationship between corporate digital transformation (CDT) and environmental, social, and governance (ESG) performance. Based on resource‐based theory, the findings indicate that CDT contributes to ESG performance through six channels: energy saving, discouragement of greenwashing behavior, improvement of technological innovation and social responsibility, alleviation of information asymmetry, and enhancement of risk management. This relationship was more significant under fierce market competition without cyberattacks. This study enriches the literature on the economic impacts of CDT from the perspective of sustainable development and expands the literature on the factors influencing sustainable performance from the perspective of digital technology. It directs the government to advance digital technology, foster a competitive market environment, and enhance cybersecurity, while also serving as a crucial reference for society in driving the reform of CDT, ensuring the sustainable development of the economy and promoting high‐quality and sustainable CDT in developing countries, including China.

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Modern enterprises are dynamically developing due to the fourth industrial revolution, contributing to the introduction of innovative infocommunication technologies in most business processes, thereby shaping and developing the digital economy. The aim of the article is to substantiate the concept of sustainable development of enterprises in the context of digital transformations. The theoretical and methodological foundations of sustainable development at different levels of the hierarchy have been determined. The concept of sustainable development of enterprises has been developed, the implementation of which is aimed at harmonizing the economic, environmental and social activities of the enterprise. The stages of the process of implementing the concept of sustainable development of enterprises are highlighted, providing for the justification of an inert, neutral, progressive or forced vector. Ensuring the implementation of the concept of sustainable development is expected through the use of applied models, in particular, the implementation of a parametric model of joint deployment of enterprise infrastructure with other infrastructure facilities in economic activity, taking into account technical, geographical, organizational and socio-economic factors to strengthen financial stability; building a model for ensuring a balanced balance between economic efficiency and environmental and social responsibility of an enterprise using a mechanism for managing transformation processes in the process of transition to sustainable development in the context of digitalization.

Abstract This study establishes a conceptual framework, “digital transformation – supply chain concentration – sustainable performance”, to address the existing knowledge gap and elucidate the nuanced connections between digital transformation, supply chain concentration, and sustainable performance. Indeed, the existing body of literature does not offer detailed analyses of the pathways and effects concerning the interplay among the three dimensions within the sustainable development framework. The model's foundation is rooted in stakeholder theory. By examining a sample of 3947 listed Chinese firms, this study's results highlight a noteworthy link between digital transformation and enhanced sustainable performance, assessed through the triple bottom line framework, thus helping to achieve sustainable development goals (SDGs), such as the eighth and ninth SDGs. This improvement is attributed to reducing supply chain concentration and promoting a diversified supply chain configuration. Furthermore, the correlation between digital transformation and sustainable performance settings demonstrates significant heterogeneity. This study enhances stakeholder theory by demonstrating that digital transformation and supply chain concentration contribute to sustainable performance, supporting the eighth and ninth SDGs and offering managers a pathway for sustainable development. It also calls for policies that promote digital transformation and diversified supply chains to improve societal welfare and sustainability practices.

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The digital revolution is reshaping various aspects of society, including having a profound impact on food security and the advancement of Sustainable Development Goals (SDGs). This study investigates the relationship between digital transformation, quantified through the components of the Digital Economy and Society Index (DESI), and SDGs related to food (SDG1, SDG2, SDG3, and SDG10), along with the overall SDG Index score. The data used for investigation are sourced from reports issued by the European Commission concerning DESI, as well as the SDG reports for the period from 2017 to 2022. The paper elucidates how different components of digitalization, such as connectivity, digital skills, internet usage, and digital public services, influence the attainment of food security objectives and broader sustainable development targets using structural equation modeling and cluster analysis. The findings underscore the pivotal role of digital technologies in enhancing poverty alleviation, health and well-being, and, in particular, mitigating inequality. This study contributes to understanding the complex relationship between digital transformation and food security, offering insights for policymakers, practitioners, and stakeholders aiming to leverage technology for advancing SDGs and fostering a more equitable and sustainable future.

In the era of the digital economy, where digitization permeates all sectors of society, digital transformation in agriculture stands as a crucial solution for addressing the growing challenges in agricultural production. Amid the competition to enhance the resilience of sustainable food systems, China sets an exemplary model with its achievements in digital agricultural transformation, providing a blueprint for developing countries in Asia and the Pacific. Primarily based on statistical data and typical case studies, this paper presents analytical findings on how digital transformation of agriculture enhances the adoption of green agricultural practices and promotes inclusive development in China. In light of the intricate challenges faced by China’s food system, the adoption of digitization emerges to facilitate the transformation from conventional agriculture to smart and sustainable practices. The pathways by which digital transformation of agriculture have the potential to address the over-application of chemical fertilizer and irrigation water, mitigation of carbon emissions, and the challenge of climate change and contribute to environmental sustainability of agriculture have been discussed. The implementation of digital transformation in sustainable agriculture—which enhances green practices and social inclusiveness by promoting digital literacy, reducing workload, creating job opportunities for low-skilled labor, and developing rural inclusive finance—has been completely explored. The challenges in digital transformation of agriculture are explained in this paper, which also provides evidence-based policy recommendations for its sustainable development applicable to developing countries.

Purpose In the global context, artificial intelligence (AI) technology and environmental, social and governance (ESG) have emerged as central drivers facilitating corporate transformation and the business model revolution. This paper aims to investigate whether and how the application of AI enhances the ESG performance of enterprises. Design/methodology/approach This study uses panel data from Chinese A-share listed companies spanning the period from 2012 to 2022. Through a multivariate regression analysis, it examines the impact of AI on the ESG performance of enterprises. Findings The findings suggest that the application of AI in enterprises has a positive impact on ESG performance. Internal control systems within the organization and external information environments act as mediators in the relationship between AI and corporate ESG performance. Furthermore, corporate compliance plays a moderating role in the connection between AI and corporate ESG performance. Originality/value This paper underscores the pivotal role played by AI in enhancing corporate ESG performance. It explores the pathways to improving corporate ESG behavior from the perspectives of internal control and information environments. This discussion holds significant implications for advancing the application of AI in enterprises and enhancing their sustainable governance capabilities.