How does the digital economy affect industrial eco-efficiency? Empirical evidence from China

doi:10.3934/DSFE.2022019

LZUFE-KMS

	How does the digital economy affect industrial eco-efficiency? Empirical evidence from China
	Liu, Lu; Liu, Ming
	2022
发表期刊	DATA SCIENCE IN FINANCE AND ECONOMICS
卷号	2 期号:4 页码:371-390
摘要	Industry is a sector with large energy consumption and pollutant emissions. Improving industrial eco-efficiency is crucial to energy conservation and pollution reduction. The digital economy has developed rapidly in recent years. However, there is a lack of research on the specific relationship between the digital economy and industrial eco-efficiency. This study measured the industrial eco-efficiency of 30 provinces in China from 2010 to 2020, through a super-efficiency slack-based measure (SBM) considering desirable outputs. By constructing a two-way fixed effect model and a panel quantile model, this study explored the effects of the digital economy on industrial eco-efficiency on a national scale. Furthermore, this study conducted grouping regression and investigated the heterogeneous impacts of the digital economy on industrial eco-efficiency. Finally, this study built a spatial Durbin model to explore the spatial effects of digital economy on industrial eco-efficiency. According to the empirical results, this study yielded the following conclusions. First, the digital economy has a significantly positive effect on industrial eco-efficiency at the national scale, with diminishing marginal returns. Second, the effects of the digital economy on industrial eco-efficiency are significantly heterogeneous on a regional scale. For eastern regions, the effects of the digital economy on industrial eco-efficiency are significantly positive, while they are negative for western regions. Third, the spillover effect of the digital economy on industrial eco-efficiency is not significant in China, indicating that there is digital isolation.
关键词	industrial eco-efficiency digital economy super-SBM heterogeneity spatial Durbin model
DOI	10.3934/DSFE.2022019
收录类别	ESCI
语种	英语
WOS研究方向	Business & Economics ; Mathematical Methods In Social Sciences
WOS类目	Business, Finance ; Economics ; Social Sciences, Mathematical Methods
WOS记录号	WOS:001062170500003
出版者	AMER INST MATHEMATICAL SCIENCES-AIMS
原始文献类型	Article
EISSN	2769-2140
引用统计	被引频次：14[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/35286
专题	兰州财经大学
通讯作者	Liu, Lu
作者单位	Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Peoples R China
第一作者单位	兰州财经大学
通讯作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Liu, Lu,Liu, Ming. How does the digital economy affect industrial eco-efficiency? Empirical evidence from China[J]. DATA SCIENCE IN FINANCE AND ECONOMICS,2022,2(4):371-390.
APA	Liu, Lu,&Liu, Ming.(2022).How does the digital economy affect industrial eco-efficiency? Empirical evidence from China.DATA SCIENCE IN FINANCE AND ECONOMICS,2(4),371-390.
MLA	Liu, Lu,et al."How does the digital economy affect industrial eco-efficiency? Empirical evidence from China".DATA SCIENCE IN FINANCE AND ECONOMICS 2.4(2022):371-390.