首页|数字经济对城市ESG发展的影响——基于双重机器学习方法的检验

数字经济对城市ESG发展的影响——基于双重机器学习方法的检验

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数字经济已成为推动城市可持续发展的重要动力.在生态环境(Environment)、社会生活(Society)、产业治理(Governance)视角下构建了城市ESG指标体系,并基于2011-2021年285个城市数据,探究城市ESG发展空间格局的演进特征,然后运用双重机器学习的研究方法分析数字经济对城市ESG发展的影响.结果发现:①城市ESG发展的空间分布具有明显的地域差异特征,最终形成以城市群为载体的高水平集聚地.②数字经济发展会正向提升以生态环境、社会生活、产业治理为内涵的城市ESG发展水平,该结论通过了多种稳健性检验.数字经济分维度而言,数字产业发展与数字创新能力为城市的ESG发展提供了重要的支撑和动力.③城市功能分工及创新创业活力是数字经济对城市ESG发展影响的重要渠道.此外,基于空间异质性检验发现,数字经济对东部、西部地区以及城市群区域的城市ESG发展的提升作用更明显.
The impact of the digital economy on urban ESG development:A test based on double machine learning
The digital economy has become a vital impetus for the transition of cities towards sustainable development.This paper constructs an urban ESG(Environment,Society,Governance)index system from the perspectives of ecological environment,social life,and industrial governance.Using data from 285 cities between 2011 and 2021,it investigates the evolution characteristics of the spatial pattern of urban ESG development.The study then employs a double machine learning research method to analyze the impact of the digital economy on urban ESG development.The findings are as follows:(1)The distribution pattern of urban ESG development exhibits significant spatial heterogeneity,with the level of development showing dynamic evolution characteristics.However,there is considerable differentiation in the development of urban ESG among the eastern,central,and western regions,with the spatial differences primarily originating from within the regions.It is necessary for regions to enhance internal communication and cooperation,continuously optimize the regional coordinated development system,and establish a new urban governance pattern in the new development era.(2)The double machine learning method confirms that the development of the digital economy will positively enhance the level of urban ESG development,which encompasses ecological environment,social life,and industrial governance.This conclusion has been validated through various robustness tests,including sample exclusion,changing variable measurement methods,sample time-segment testing,and instrumental variable methods.Furthermore,the development of the digital industry and digital innovation capabilities play a prominent role,with industry penetration and digital technology empowerment being important ways in which the digital economy influences sustainable urban development.(3)The division of urban functions and the vitality of innovation and entrepreneurship are important channels for the digital economy to influence urban ESG development,and are crucial pathways to help cities achieve sustainable development goals.From the perspective of spatial heterogeneity,the enhancement of urban ESG levels by the digital economy is more pronounced in the eastern and western regions and urban agglomerations.

digital economyurban ESG developmentimpact mechanismdouble machine learning

周建平、徐维祥、宓泽锋、刘程军

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浙江工业大学经济学院,杭州 310023

浙江工业大学现代化产业体系研究院,杭州 310023

浙江工业大学之江学院,浙江绍兴 312030

数字经济 城市ESG发展 影响机制 双重机器学习

国家社会科学基金重大项目浙江省教育厅一般项目浙江省高等学校人文社会科学研究科技攻关计划重大项目教育部人文社会科学研究规划基金

18ZDA045Y2023520892023QN08323YJA790069

2024

地理研究
中国科学院地理科学与资源研究所

地理研究

CSTPCDCSSCICHSSCD北大核心
影响因子:2.214
ISSN:1000-0585
年,卷(期):2024.43(6)
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