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数字经济、能源效率与碳排放:来自中国省级面板数据的证据

Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China.

作者信息

Zhang Lu, Mu Renyan, Zhan Yuanfang, Yu Jiahong, Liu Liyi, Yu Yongsheng, Zhang Jixin

机构信息

School of Management, Wuhan University of Technology, Wuhan 430070, China; Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan; Hubei Product Innovation Management Research Center, Wuhan 430070, China.

School of Management, Wuhan University of Technology, Wuhan 430070, China.

出版信息

Sci Total Environ. 2022 Dec 15;852:158403. doi: 10.1016/j.scitotenv.2022.158403. Epub 2022 Aug 31.

Abstract

Improving energy efficiency and lowering carbon emissions are of great importance to realize the "dual carbon" goal of carbon peak and carbon neutrality. Digital economy is a new engine of economic development, but whether or how it affects energy efficiency and carbon emissions are unclear. Utilizing panel data of China's 30 provinces from 2012 to 2019, this study empirically explores the relationships among digital economy, energy efficiency, and carbon emissions. Meanwhile, from the perspective of energy efficiency, applying mediation models and panel threshold model, it analyzes the direct, indirect, and nonlinear influencing mechanisms of digital economy on carbon emissions. The results reflect that the development of digital economy in China intensifies carbon emissions. Energy efficiency serves as a vital partial mediator between the two. The enhancement of energy efficiency can lower carbon emissions. However, the development of digital economy is not conducive to improving energy efficiency, thereby, indirectly increasing carbon emissions. The mediating effect of energy efficiency accounts for 30.58 % of the total effect of digital economy on carbon emissions. Meanwhile, taking energy efficiency into account, the impact of digital economy on carbon emissions has a significant double-threshold effect and presents an N-shaped trend. [0.824, 0.912] is the optimal range of energy efficiency, within which the growth of the digital economy can empower carbon emission abatement to some extent. In addition, the expansion of population size, the coal-based energy consumption structure, and the industrial structure significantly increase carbon emissions. The improvements in living standards and environmental regulations can help to decrease carbon emissions, but the emission abatement effects are not significant. Those conclusions reveal the importance of optimizing the level and quality of digital economy and adopting differentiated digital economy development policies based on energy efficiency to achieve carbon emission reduction.

摘要

提高能源效率和降低碳排放对于实现碳达峰、碳中和的“双碳”目标至关重要。数字经济是经济发展的新引擎,但它是否以及如何影响能源效率和碳排放尚不清楚。本研究利用2012年至2019年中国30个省份的面板数据,实证探究数字经济、能源效率和碳排放之间的关系。同时,从能源效率的角度,应用中介模型和面板门槛模型,分析数字经济对碳排放的直接、间接和非线性影响机制。结果表明,中国数字经济的发展加剧了碳排放。能源效率在两者之间起到了重要的部分中介作用。能源效率的提高可以降低碳排放。然而,数字经济的发展不利于提高能源效率,从而间接增加碳排放。能源效率的中介效应占数字经济对碳排放总效应的30.58%。同时,考虑到能源效率,数字经济对碳排放的影响具有显著的双重门槛效应,并呈现出N形趋势。[0.824, 0.912]是能源效率的最优区间,在此区间内数字经济的增长能够在一定程度上助力碳排放减排。此外,人口规模的扩大、以煤炭为主的能源消费结构以及产业结构显著增加了碳排放。生活水平的提高和环境规制有助于降低碳排放,但减排效果并不显著。这些结论揭示了优化数字经济水平和质量以及基于能源效率采取差异化数字经济发展政策以实现碳排放减排目标的重要性。

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