Spatial Influence of Digital Economy on Carbon Emission Efficiency of the Logistics Industry across 30 Provinces in China

Yuxia Guo (), Xue Wu, Heping Ding and Zhouyu Tian
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Yuxia Guo: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Xue Wu: Business School, Suzhou University, Suzhou 234000, China
Heping Ding: Business School, Suzhou University, Suzhou 234000, China
Zhouyu Tian: Business School, Suzhou University, Suzhou 234000, China

Sustainability, 2024, vol. 16, issue 18, 1-20

Abstract: The logistics industry (LI) is a key pillar of the global economy, and its carbon emission efficiency (CEE) is crucial for achieving carbon neutrality. The rapid development of the digital economy (DE) has had a profound impact on the LI, but the spatial impact on its CEE is currently unclear and requires further research. Firstly, based on the collection of relevant data, we use the entropy weight method and linear weighted sum method to measure the level of development of the DE. Secondly, the SBM model is used to measure the CEE level of the LI. Using Moran’s I index model and OLS and GWR models, we analyze the impact and spatial distribution characteristics of the DE on the CEE of the LI and propose development strategies. The article uses statistical data from 30 provinces in China from 2013 to 2022 as an example to demonstrate the implementation process of the method. The results show that the DE has a positive impact on the CEE of the LI, and there are spatial differences. Based on this, this article proposes policy recommendations for the development of green and low-carbon logistics and digital logistics that are tailored to local conditions, providing theoretical and methodological support for low-carbon research in the LI, and providing reference for other countries and regions to explore the path of green and low-carbon transformation.

Keywords: carbon emissions efficiency; digital economy; logistics industry; carbon efficiency; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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