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

Jiasheng Li and Liying Li ()
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Jiasheng Li: Liaoning Technical University, School of Business Administration
Liying Li: Liaoning Technical University, School of Business Administration

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 860-869 from Springer

Abstract: 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.

Keywords: Spatial spillover effects; green total factor productivity; environmental regulation; spatial Durbin model (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_86

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