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数字经济中污染减排与碳排放缓解的协同效应。

Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy.

作者信息

Hu Jin

机构信息

School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang 550025, Guizhou China.

出版信息

J Environ Manage. 2023 Jul 1;337:117755. doi: 10.1016/j.jenvman.2023.117755. Epub 2023 Mar 20.

DOI:10.1016/j.jenvman.2023.117755
PMID:36948146
Abstract

Synergetic control of environmental pollution and carbon emissions (SCEPCE) is essential to green development. The emergence of the digital economy has become a significant component in regional economic growth. Investigating the digital driving mode for SCEPCE in developing countries is crucial. This paper empirically analyzes the effect of establishing big data comprehensive experimental areas (BDCEAs) on air pollutants and carbon emissions using panel data of prefecture-level cities from 2009 to 2020 and the time-varying difference-in-differences method. The research found that (1) BDCEA inhibits pollution and carbon emissions, and the policy effect is sustainable. (2) The synergistic effect is significant, particularly in small and medium-sized cities and old industrial-base cities. The benefit of reducing pollution is only significant in the east. The effect of reducing CO emissions is only significant in the west. (3) The pollution reduction effect of digital economic development has the characteristics of an increasing marginal effect, and the marginal effect of its carbon reduction effect is not apparent. (4) The technological innovation and energy efficiency improvement effects are effective mechanisms. This paper enriches the studies on the factors influencing SCEPCE, which will help to realize SCEPCE and the harmonious coexistence of humans and nature in developing countries. However, policy incentives and green development strategies must be fine-tuned to achieve global SCEPCE.

摘要

环境污染与碳排放协同控制(SCEPCE)对绿色发展至关重要。数字经济的出现已成为区域经济增长的重要组成部分。研究发展中国家SCEPCE的数字驱动模式至关重要。本文利用2009年至2020年地级市面板数据和时变双重差分法,实证分析了设立大数据综合试验区(BDCEA)对空气污染物和碳排放的影响。研究发现:(1)BDCEA抑制污染和碳排放,且政策效果具有可持续性。(2)协同效应显著,尤其在中小城市和老工业基地城市。减少污染的效益仅在东部显著。减少CO排放的效果仅在西部显著。(3)数字经济发展的污染减排效应具有边际效应递增的特征,其碳减排效应的边际效应不明显。(4)技术创新和能源效率提升效应是有效机制。本文丰富了对影响SCEPCE因素的研究,这将有助于发展中国家实现SCEPCE以及人与自然的和谐共生。然而,必须对政策激励措施和绿色发展战略进行微调,以实现全球SCEPCE。

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