Issue |
E3S Web Conf.
Volume 580, 2024
2024 2nd International Conference on Clean Energy and Low Carbon Technologies (CELCT 2024)
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Article Number | 02010 | |
Number of page(s) | 8 | |
Section | Low Carbon and Energy Saving Technologies and Environmental Sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202458002010 | |
Published online | 23 October 2024 |
Does the Collaborative Agglomeration of Logistics and Manufacturing have an Inhibitory Effect on Carbon Emissions? Based on the Spatial Econometric Analysis of Panel Data of 30 Provinces in China
1 Business School, Nantong Institute of Technology, Nantong 226001, Jiangsu, China
2 Business School, Nanjing Normal University, Nanjing 210023, Jiangsu, China
3 Business School, Nantong University, Nantong 226000, Jiangsu, China
* Corresponding author: linxf@ntit.edu.cn
In this paper, panel data from 30 provinces in the Chinese Mainland (excluding Tibet, Hong Kong, Macao, and Taiwan) spanning from 2006 to 2022 is utilized to investigate the relationship between logistics industry agglomeration, manufacturing industry agglomeration, and carbon emissions using spatial econometric analysis methodologies. Specifically, the study focuses on investigating the relationship between the synergistic agglomeration of the logistics and manufacturing industry, and their impact on carbon emissions using the Spatial Durbin Model. The research findings indicate that an increase in manufacturing industry agglomeration significantly reduces carbon emissions, an increase in logistics industry agglomeration result in higher carbon emissions, and the synergistic agglomeration of the two industries plays a significant role in mitigating regional carbon emissions through spatial and geographical mechanisms. Robustness tests, which include the control of additional variables and the use of alternative spatial weight matrices, further support the above conclusions.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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