Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

A Study on the Spatial Spillover Effects of Logistics Agglomeration Level and Its Green Total Factor Productivity

Authors
Jiasheng Li1, Liying Li1, *
1School of Business Administration, Liaoning Technical University, HuludaoLiaoning, 125105, China
*Corresponding author. Email: 1273924346@qq.com
Corresponding Author
Liying Li
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_86How to use a DOI?
Keywords
Spatial spillover effects; green total factor productivity; environmental regulation; spatial Durbin model
Abstract

This article selects panel data from 30 provinces (autonomous regions and municipalities) in China from 2015 to 2020, takes logistics industry carbon emissions as non-desired output, introduces environmental regulation and other control variables, uses the location entropy method and DEA-Malmquist model to measure the agglomeration level of the logistics industry and its green total factor productivity, and reveals its spatial evolution characteristics through spatial correlation tests. The space Durbin model with time-space double fixed effects is employed to empirically study the spatial spillover effects of logistics industry agglomeration on its green total factor productivity. The results show that the overall agglomeration level of China’s logistics industry is relatively low, but there is significant spatial positive correlation among regions. Improving the agglomeration level of the logistics industry can effectively promote green total factor growth and generate positive spatial spillover effects in surrounding areas. The degree of openness, industrial structure, and economic development level have positive effects on the green total factor productivity of the logistics industry, while unreasonable environmental regulations will inhibit its growth. This study enriches the theoretical measurement of green total factor productivity in the logistics industry, helps to better understand the spatial spillover effects of logistics industry agglomeration on its green total factor productivity, and provides a reference for how to improve the total factor productivity of the logistics industry. It has important significance for promoting the low-carbon and efficient development of the logistics industry.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_86
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_86How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jiasheng Li
AU  - Liying Li
PY  - 2023
DA  - 2023/10/09
TI  - A Study on the Spatial Spillover Effects of Logistics Agglomeration Level and Its Green Total Factor Productivity
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 860
EP  - 869
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_86
DO  - 10.2991/978-94-6463-256-9_86
ID  - Li2023
ER  -