城市数字经济对中国碳强度的影响:空间溢出与中介效应

IF 3.5 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yu Cheng , Yue Zhang , Jingjing Wang , Jinxing Jiang
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引用次数: 64

摘要

包括互联网、大数据和云计算在内的数字经济的发展和扩张,为达到碳排放峰值和实现碳中和提供了新的动力。然而,城市数字经济对碳强度的影响和机制仍然不够明确。本研究通过添加二次项并进行U检验,证实了它们之间存在显著的倒U型关系。当数字经济指数超过0.419时,就会降低碳排放强度。实证结果表明,数字经济对呈U型分布的相邻城市的碳排放强度具有非线性空间溢出效应。数字经济不仅可以直接影响碳排放强度,还可以通过优化产业结构和促进科技创新来间接影响碳排放。本文的方法可用于未来的研究,研究结果可支持数字经济的区域发展和碳减排政策的制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of the urban digital economy on China's carbon intensity: Spatial spillover and mediating effect

The development and expansion of the digital economy, including the internet, big data, and cloud computing, provide a new impetus to reaching peak carbon emissions and achieving carbon neutrality. However, the impact and mechanism of the urban digital economy on carbon intensity are still insufficiently characterized. This study confirms a significant inverted U-shaped relationship between them by adding a quadratic term and conducting a U test. When the index of the digital economy exceeds 0.419, it reduces carbon emissions intensity. The empirical results indicate that the digital economy has a nonlinear spatial spillover effect on the carbon emission intensity of adjacent cities presenting a U-shape. The digital economy can not only directly affect carbon emission intensity, but also indirectly affects it by optimizing industrial structure and promoting scientific and technological innovation. The methodology of this paper can be used for future research, and the findings can support the regional development of the digital economy and the formulation of carbon reduction policies.

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来源期刊
ACS Chemical Biology
ACS Chemical Biology 生物-生化与分子生物学
CiteScore
7.50
自引率
5.00%
发文量
353
审稿时长
3.3 months
期刊介绍: ACS Chemical Biology provides an international forum for the rapid communication of research that broadly embraces the interface between chemistry and biology. The journal also serves as a forum to facilitate the communication between biologists and chemists that will translate into new research opportunities and discoveries. Results will be published in which molecular reasoning has been used to probe questions through in vitro investigations, cell biological methods, or organismic studies. We welcome mechanistic studies on proteins, nucleic acids, sugars, lipids, and nonbiological polymers. The journal serves a large scientific community, exploring cellular function from both chemical and biological perspectives. It is understood that submitted work is based upon original results and has not been published previously.
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