Carbon trading pilot and low-carbon development of China’s textile industry

To explore whether a carbon trading pilot (CTP) can promote the low-carbon development of China's textile industry (CTI), this paper used a difference-in-difference model to study the impact of CTP on the carbon emissions in CTI and further analysed its regional heterogeneity. The research results showed that the impact coefficient of CTP on the carbon emissions in CTI was significantly negative, indicating that CTP could reduce the carbon emissions in CTI. Robustness tests such as the Placebo test, replacing the explained variable and the estimation method and excluding the interference of other policies verified the robustness of the research results. The dynamic regression results revealed the carbon reduction effect of CTP became stronger as the time of its implementation increased. At the regional level, CTP could also significantly lower the carbon emissions in the textile industry both in the eastern and western regions, and the reduction effect in the western region was greater than that in the eastern.

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Publication Details

Journal
Industria Textila
Published
2024-10-24
DOI
https://doi.org/10.35530/it.075.05.202399
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
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article

Carbon trading pilot and low-carbon development of China’s textile industry

HE LIN, SHEN PANDENG, ZHANG JIANLEI
Industria Textila
Sustainable Industrial Ecology
article

Carbon trading pilot and low-carbon development of China’s textile industry

HE LIN, SHEN PANDENG, ZHANG JIANLEI
article en

Abstract

To explore whether a carbon trading pilot (CTP) can promote the low-carbon development of China's textile industry (CTI), this paper used a difference-in-difference model to study the impact of CTP on the carbon emissions in CTI and further analysed its regional heterogeneity. The research results showed that the impact coefficient of CTP on the carbon emissions in CTI was significantly negative, indicating that CTP could reduce the carbon emissions in CTI. Robustness tests such as the Placebo test, replacing the explained variable and the estimation method and excluding the interference of other policies verified the robustness of the research results. The dynamic regression results revealed the carbon reduction effect of CTP became stronger as the time of its implementation increased. At the regional level, CTP could also significantly lower the carbon emissions in the textile industry both in the eastern and western regions, and the reduction effect in the western region was greater than that in the eastern.

Industria TextilaVol. 75(05)
Jiaxing University (CN), Jiaxing Vocational Technical College (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Sustainable Industrial Ecology
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