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China's carbon trading pilot policy, economic stability, and high-quality economic development

Economics

China's carbon trading pilot policy, economic stability, and high-quality economic development

S. Zeng, Q. Fu, et al.

Explore how carbon trading pilot programs are shaping China's economic landscape! This study by Shaolong Zeng, Qinyi Fu, Fazli Haleem, Yang Shen, Weibin Peng, Man Ji, Yilong Gong, and Yilong Xu unveils immediate effects on economic stability and a push for high-quality economic development, while also highlighting the need for further exploration of regional disparities.

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Abstract
The purpose of this study is to examine how economic development and stability are affected by carbon trading pilot programs. Using panel data from 31 Chinese provinces and autonomous regions between 2005 and 2021, two hypotheses were tested using the DID model. The findings indicate that (1) the carbon trading market pilot program has an immediate effect on economic stability. (2) High-quality economic development is positively and significantly impacted by the carbon trading market pilot program. Regional heterogeneity exists in the effects of carbon trading pilot programs on high-quality development and economic stability. The relationship between carbon trading pilot programs and economic development is not conclusive, despite the growing number of these policies. Given this, additional investigation into this connection is required. Understanding the results of carbon trading pilot programs can be used to gauge how successful these initiatives are. This research adds to the body of knowledge regarding the impact of the carbon trading pilot programs. It then makes policy recommendations that may serve as a guide for future "double carbon" research.
Publisher
Humanities and Social Sciences Communications
Published On
Aug 29, 2024
Authors
Shaolong Zeng, Qinyi Fu, Fazli Haleem, Yang Shen, Weibin Peng, Man Ji, Yilong Gong, Yilong Xu
Tags
carbon trading
economic development
economic stability
China
regional heterogeneity
panel data
difference-in-differences
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