首页|数字经济对绿色低碳循环发展的影响研究——以黄河流域沿线城市为例

数字经济对绿色低碳循环发展的影响研究——以黄河流域沿线城市为例

扫码查看
数字经济已逐渐成为推动城市实现绿色低碳循环发展的关键驱动力.基于2015-2021 年我国黄河流域9个省区的面板数据,运用基准回归模型、中介效应模型及机器学习(随机森林模型),实证检验了数字经济对城市绿色低碳循环发展的驱动机理及其效应.研究发现:数字经济能显著推动城市绿色低碳循环发展;技术创新在数字经济促进城市绿色低碳循环发展的影响过程中发挥部分中介作用;数字经济对黄河流域沿线城市绿色低碳循环发展的影响最为关键,其驱动作用呈现出"抑制-增长-抑制"的非线性特征.基于此,提出深挖数字经济发展潜力,优化技术创新环境,以提升绿色低碳循环发展效能的对策建议.
Research on the Impact of Digital Economy on the Green and Low-Carbon Circular Development Taking Cities along the Yellow River Basin as an Example
The digital economy has gradually become a key driving force for cities to achieve green and low-carbon circular develop-ment.Based on the panel data of 9 provinces along the Yellow River Basin in China from 2015 to 2021,this paper empirically tests the driving mechanism and effects of digital economy on the green and low-carbon circular development of cities by using benchmark regres-sion model,mediation model and machine learning-random forest model.The results show that:the digital economy can significantly promote the green and low-carbon circular development of cities;technological innovation plays an mediation role in the impact of the digital economy on promoting the green and low-carbon circular development of cities;the impact of digital economy on the green and low-carbon circular development of cities along the Yellow River Basin is the most critical,and its driving role presents a nonlinear characteristics of"inhibition-growth-inhibition".Based on this,the paper puts forward countermeasures and suggestions to tap the po-tential of digital economy development and optimize the environment for technological innovation to improve the efficiency of green and low-carbon circular development.

digital economygreen and low-carbon circular developmenttechnological innovationmachine learningcities along the Yellow River Basin

姚延婷、陈娜娜

展开 >

西北政法大学管理学院,西安 710063

数字经济 绿色低碳循环发展 技术创新 机器学习 黄河流域沿线

2024

科技与经济
南京市科技信息研究所

科技与经济

影响因子:0.528
ISSN:1003-7691
年,卷(期):2024.37(6)