Abstract
The goal of “carbon peak and carbon neutrality” is the key to coping with global warming and achieving high-quality development. Producer services and manufacturing co-agglomeration (Coagglo) is an important path to achieve low-carbon development. Therefore, the relationship between industrial co-agglomeration and carbon emission efficiency (CEE) needs to be discussed. Based on the panel data of 114 cities along the eastern coast of China from 2006 to 2021, this study uses a panel quantile regression model and dynamic spatial Durbin model to evaluate the impact and spatial effect of Coagglo on CEE. The results show that there is a nonlinear relationship between Coagglo and CEE. When it exceeds the 50th quantile, the degree of influence decreases slightly, but it still shows a significant positive correlation. When considering industry heterogeneity, we find that the co-agglomeration of warehousing and postal industry (TRA) and manufacturing has the most significant impact on CEE, while the co-agglomeration of leasing and commercial service industry (LEA) and manufacturing has the least impact on CEE. Regional heterogeneity shows that the Coagglo has a greater impact on carbon emission efficiency in the northern region than in the southern region. In addition, Coagglo promotes the spillover of knowledge and technology and has a positive spatial spillover effect on CEE. This conclusion provides a theoretical reference for carbon emission reduction in eastern coastal areas of China.
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The datasets generated during and analyzed during the current study are available from the corresponding author upon reasonable request.
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This work was supported by the Key Research and Development Program of Shandong Province (Soft Science Major Project) (Grant No. 2022RZA01007), the Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China (Grant No. 2019RWE014), and Shandong Province Social Science Planning Research Project (Grant No. 22CJJJ06).
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C. Y. and Z. H. contributed to the overall conception and framework of this study. L. Y. guided the method of this study. The collection, collation, and analysis of the data and the first draft of the manuscript were written by Z. H. All authors discussed and revised the manuscript repeatedly and approved the final manuscript. All authors have repeatedly discussed and revised the manuscript and endorsed the final manuscript.
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Zhao, H., Cheng, Y. & Liu, Y. Can industrial co-agglomeration improve carbon emission efficiency? Empirical evidence based on the eastern coastal areas of China. Environ Sci Pollut Res 31, 10717–10736 (2024). https://doi.org/10.1007/s11356-023-31626-x
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DOI: https://doi.org/10.1007/s11356-023-31626-x