The Impact of Digital Trade on Regional Carbon Emissions: Evidence from China

Paijie Wan, Feng He, Shengfa Chen
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Abstract

With the rise of China’s economy and the expansion of China’s foreign trade scale, the carbon emissions generated by China’s trade are attracting extensive attention from political and academic circles. In the context of global ‘decarbonization’, this paper focuses on the new trade model of digital trade and uses China's provincial panel data from 2013 to 2021 to deeply explore the effect of digital trade development on carbon emissions and its transmission mechanism. We find that digital trade development can reduce regional carbon emissions through structural and technological effects; specifically, industrial structure upgrading, consumption upgrading, and green technology innovation play a crucial intermediary role in this process. Subsequent investigation reveals a non-linear, diminishing trend in the marginal impact of digital trade on emission reduction. Furthermore, once digital trade surpasses the threshold of environmental regulation its marginal effect on emission reduction becomes more pronounced. Additionally, employing a spatial econometric model has revealed that the advancement of digital trade can also contribute to reducing carbon emissions in neighboring regions. Heterogeneity analysis results demonstrate that the eastern region exhibits the most significant emission reduction effect in relation to digital trade, followed by the western and central regions.
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数字贸易对地区碳排放的影响:来自中国的证据
随着中国经济的崛起和对外贸易规模的扩大,中国贸易产生的碳排放问题受到政界和学术界的广泛关注。在全球 "去碳化 "的背景下,本文以数字贸易这一新型贸易模式为研究对象,利用中国 2013-2021 年省级面板数据,深入探讨了数字贸易发展对碳排放的影响及其传导机制。我们发现,数字贸易发展可以通过结构效应和技术效应减少区域碳排放,具体而言,产业结构升级、消费升级和绿色技术创新在这一过程中发挥了重要的中介作用。随后的调查显示,数字贸易对减排的边际影响呈非线性递减趋势。此外,一旦数字贸易超过了环境监管的门槛,其对减排的边际效应就会变得更加明显。此外,利用空间计量经济学模型还发现,数字贸易的发展也有助于减少邻近地区的碳排放。异质性分析结果表明,东部地区对数字贸易的减排效果最为显著,其次是西部和中部地区。
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