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考虑劳动-技术-污染因素下数字经济对绿色全要素生产率的影响

The impact of digital economy on green total factor productivity considering the labor-technology-pollution factors.

作者信息

Huang Yipeng, Chen Zhiguo, Li Huiru, Yin Shi

机构信息

School of Economics, Hebei University, Baoding, 071000, China.

Research Center for Resource Utilization and Environmental Protection, Hebei University, Baoding, 071000, China.

出版信息

Sci Rep. 2023 Dec 21;13(1):22902. doi: 10.1038/s41598-023-50400-0.

Abstract

The digital economy provides new impetus for the high-quality development of manufacturing industry. Through the DEA-Malmquist model and panel regression model, this paper confirmed that there is a positive and significant relationship between the development of digital economy and the green total factor productivity (GTFP) of manufacturing industry. The research result is as follows: (1) the development of digital economy can enhance the overall GTFP of manufacturing industry. (2) The green technology progress brought by the development of digital economy is the main path to promote the GTFP of manufacturing industry. (3) The heterogeneity analysis shows that the impact of digital economy on GTFP of high pollution manufacturing industry is significantly positive, the impact of labor-intensive manufacturing industry is significantly negative, and the impact of technology intensive manufacturing industry is not obvious. The contributions of this study are as follow. In terms of theory, this study theoretically continues Solow's classical theory, demonstrating the scientific nature of digital technology progress in promoting GTFP growth. In empirical analysis, this study build a new digital economy development level evaluation index system based on the perspective of manufacturing industry. In addition, this study also add a labor-technology-pollution perspective for the development of relevant policies.

摘要

数字经济为制造业的高质量发展提供了新动力。通过DEA - 马尔姆奎斯特模型和面板回归模型,本文证实数字经济发展与制造业绿色全要素生产率(GTFP)之间存在积极且显著的关系。研究结果如下:(1)数字经济发展能够提升制造业的整体GTFP。(2)数字经济发展带来的绿色技术进步是推动制造业GTFP的主要路径。(3)异质性分析表明,数字经济对高污染制造业GTFP的影响显著为正,对劳动密集型制造业的影响显著为负,对技术密集型制造业的影响不明显。本研究的贡献如下。在理论方面,本研究在理论上延续了索洛的经典理论,论证了数字技术进步在促进GTFP增长方面的科学性。在实证分析方面,本研究从制造业视角构建了新的数字经济发展水平评价指标体系。此外,本研究还为相关政策的制定增添了劳动 - 技术 - 污染视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03e9/10739952/6fa97837c7d7/41598_2023_50400_Fig1_HTML.jpg

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