Exploring the Impact of the Digital Economy on China's Export Implied Carbon Intensity: A Provincial Panel Data Analysis

Jifeng Zhang, Shuting Hu
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Abstract

Exploiting the positive effect of digital economy on reducing the implied carbon intensity of exports is an important path to promote the green and low-carbon transformation of China's export trade. In view of this, using the Chinese provincial panel data from 2008 to 2020 to scrutinize the consequential impact and intricate mechanisms at play between these variables.  Employing a robust methodology, including fixed-effects models, mediating-effects models, and threshold models, the analysis delves into the multi-faceted impact of the digital economy on export implied carbon intensity. It is found that (1) The enhancement of the digital economy can significantly reduce the implied carbon intensity of exports. (2) The digital economy further diminishes the implied carbon intensity of exports through the mediating influences of industrial structure and technological progress. (3) The relationship between the digital economy, industrial structure, and technological progress exhibits a noteworthy non-linear dynamic concerning export implied carbon intensity.
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探索数字经济对中国出口隐含碳强度的影响:省级面板数据分析
发挥数字经济对降低出口隐含碳强度的积极作用,是推动中国出口贸易绿色低碳转型的重要路径。有鉴于此,本文利用 2008 年至 2020 年的中国省级面板数据,对这些变量之间的间接影响和错综复杂的作用机制进行了研究。 分析采用固定效应模型、中介效应模型和阈值模型等稳健方法,深入探讨了数字经济对出口隐含碳强度的多方面影响。研究发现:(1)数字经济的发展可以显著降低出口的隐含碳强度。(2)数字经济通过产业结构和技术进步的中介影响进一步降低出口隐含碳强度。(3)数字经济、产业结构和技术进步之间的关系在出口隐含碳强度方面表现出显著的非线性动态关系。
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