数据要素的减污降碳双重环境福利效应分析  

Analysis of the Double Environmental Welfare Effects of Data Elements for Pollution and Carbon Reduction

作　　者：刘红[1] 张陈陈 Liu Hong;Zhang Chenchen(School of International Economics and Politics,Liaoning University,Shenyang 110036,China)

机构地区：[1]辽宁大学国际经济政治学院,沈阳110036

出　　处：《工业技术经济》2024年第10期73-82,共10页Journal of Industrial Technology and Economy

基　　金：辽宁省社会科学规划基金重点建设学科项目“日本经济安保战略‘去中国化’调整的中日经贸影响分析及应对策略”(项目编号:L23ZD019);2023年度辽宁省教育厅基本科研项目(重点攻关项目)“日本新一轮蓄电池产业战略调整对中国蓄电池产业发展的影响及中国对策”(项目编号:JYTZD2023061)。

摘　　要：本文运用2006~2022年我国30个省(区、市)的面板数据,实证考察了数据要素的减污降碳效果。研究发现:数据要素能够实现减污降碳的双重环境福利,且主要通过资源配置效率提升、产业结构优化升级、绿色技术创新和公众环境关注度提升的渠道实现;异质性分析发现,数据要素在促进减污降碳方面存在市场化水平和数字基础设施异质性特征。进一步研究发现,数据要素在实现本地区减污降碳的同时,也会对邻近地区产生空间溢出效应;结构效应回归结果显示,数据要素对减污降碳的影响效果整体呈现地区环境污染和碳排放越高其减污降碳效果越明显的态势。本文研究结论为在双碳目标和新发展理念下如何借力数据要素“东风”实现减污降碳的“双赢”提供了重要启示。The article empirically examines the effects of data elements on pollution and carbon reduction using panel data from 30 provinces in China from 2006 to 2022.It is found that data elements can realize the dual environmental benefits of pollution reduction and carbon reduction,and they are mainly realized through the channels of resource allocation efficiency improvement,industrial structure optimization and upgrading,green technological innovation,and public environmental concern enhancement;and heterogeneity analysis reveals that there are qualitative characteristics of the marketization level and digital infrastructure of data elements in promoting pollution reduction and carbon reduction.Further research found that data elements will have spatial spillover effects on neighboring regions while realizing pollution and carbon reduction in the region;structural effect regression results show that the overall effect of data elements on pollution and carbon reduction shows that the higher the environmental pollution and carbon emissions,the more obvious the effect of pollution and carbon reduction.The conclusions of the article provide important insights into how to leverage the“east wind”of data elements to realize the“win-win”effect of pollution reduction and carbon reduction under the dual-carbon goal and the new development concept.

关 键 词：数据要素 减污降碳 资源配置效率 产业结构优化升级 绿色技术创新 公众环境关注度 空间溢出 结构效应 

分 类 号：F062.9[经济管理—政治经济学] F205