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数字经济、空间溢出与产业绿色创新效率:来自中国的实证证据

Digital economy, spatial spillover and industrial green innovation efficiency: Empirical evidence from China.

作者信息

Li Guangqin, Li Xiaoge, Huo Lingzhi

机构信息

School of International Trade and Economics, Anhui University of Finance and Economics, Bengbu, Anhui 233030, China.

School of Economics and Finance, Chongqing University of Technology, Chongqing 400054, China.

出版信息

Heliyon. 2023 Jan 13;9(1):e12875. doi: 10.1016/j.heliyon.2023.e12875. eCollection 2023 Jan.

DOI:10.1016/j.heliyon.2023.e12875
PMID:36711307
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9876823/
Abstract

The digital economy is pushing more efficient and greener production and innovation processes, as well as quickening the mobility of production factors, which would have a critical impact on improving industrial green innovation efficiency. Based on the panel data of 30 Chinese provinces from 2005 to 2019, this study established a comprehensive index system to assess the level of provincial digital economy development, and adopted the SBM-DEA model including non-expected output to evaluate industrial green innovation efficiency, then adopted the I and I to test whether there is spatial autocorrelation, followed by the spatial Durbin model (SDM) and the mediating effect test model to investigate the direct impact, spatial spillover effect and indirect transmission mechanism of the digital economy on industrial green innovation efficiency. The results show that: both the development level of the digital economy and industrial green innovation efficiency show positive spatial autocorrelation; The digital economy not only has a significant direct role in promoting industrial green innovation efficiency but also has a spatial spillover effect; The digital economy can improve industrial green innovation efficiency by promoting manufacturing structure upgrading and stimulating enterprises' green technology innovation. The findings of this paper are helpful for policymakers to clarify the relationship between the digital economy and industrial green innovation efficiency and provide favorable policy directions for developing the digital economy to promote industrial green innovation efficiency.

摘要

数字经济正在推动更高效、更绿色的生产与创新过程,同时加快生产要素的流动,这将对提高产业绿色创新效率产生关键影响。基于2005年至2019年中国30个省份的面板数据,本研究建立了一个综合指标体系来评估省级数字经济发展水平,并采用包含非期望产出的SBM-DEA模型来评价产业绿色创新效率,接着采用 Moran's I 和 Geary's C 检验是否存在空间自相关,随后运用空间杜宾模型(SDM)和中介效应检验模型来考察数字经济对产业绿色创新效率的直接影响、空间溢出效应和间接传导机制。研究结果表明:数字经济发展水平和产业绿色创新效率均呈现出正向空间自相关;数字经济不仅对促进产业绿色创新效率具有显著的直接作用,还具有空间溢出效应;数字经济能够通过推动制造业结构升级和激发企业绿色技术创新来提高产业绿色创新效率。本文的研究结果有助于政策制定者厘清数字经济与产业绿色创新效率之间的关系,并为发展数字经济以促进产业绿色创新效率提供有利的政策方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/6c2a437600b4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/7db009b22003/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/6c66473d16bb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/6c2a437600b4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/7db009b22003/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/6c66473d16bb/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a13a/9876823/6c2a437600b4/gr3.jpg

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