摘要
数字经济的崛起,使数据要素成为新的生产要素。实现碳达峰、碳中和是我国的重大战略需求。针对数据要素如何影响区域绿色低碳发展的问题,本研究基于数据要素理论框架,从数据供给、流通和应用3个维度设立指标体系,对区域数据要素综合发展水平进行测度及评价,并采用2013~2021年中国省级面板数据,实证分析了数据要素对区域绿色低碳发展的非线性影响效应,为数据要素更好赋能区域绿色低碳发展提供了政策建议。
The rise of the digital economy has made data elements a new factor of production.Achieving carbon peak and carbon neutrality is a major strategic demand in China.In response to the issue of how data elements affect regional green and low-carbon development,based on the theoretical framework of data elements,this study established an index system from the three dimensions of data supply,circulation and application,measured the development level of regional data elements,and used China's regional panel data from 2013 to 2021 to empirically analyze the nonlinear impact of data elements on regional green and low-carbon development.Policy recommendations have been provided to better empower regional green and low-carbon development with data elements.
作者
杨金龙
王改变
杨艳艳
李加莲
YANG Jinlong;WANG Gaibian;YANG Yanyan;LI Jialian(Goldwind Science&Technology Co.,Ltd.,Beijing 100176;Kunming Branch Chinese Academy of Sciences,Kunming 650201;Faculty of Management and Economics,Kunming University of Science and Technology,Kunming 650093;Finance Department,Kunming University of Science and Technology,Kunming 650093;Institutes of Science and Development,Chinese Academy of Sciences,Beijing 100190)
出处
《科技促进发展》
2023年第12期734-743,共10页
Science & Technology for Development
基金
2023年国家自然科学基金重大项目(T2293774):国家和社会数据安全治理的智能方法,负责人:李建平。
关键词
数据要素
绿色低碳
非线性影响
异质性
data elements
green and low-carbon
nonlinear influence
heterogeneity
