Spatiotemporal Distribution of CO₂ Emissions from the Logistics Industry in the China Segment of the Silk Road Economic Belt and Its Influencing Factors

DOI

10.2991/978-94-6463-676-5_80How to use a DOI?

Keywords

Silk Road Economic Belt; CO2 emissions in the logistics industry; LMDI decomposition model; Multi-Region model

Abstract

Based on the calculation of high carbon energy CO₂ emissions in the logistics industry of six provinces in the Chinese section of the Silk Road Economic Belt from 2013 to 2022, this article uses Logarithmic Mean Divisia Index and Multi-Region model to analyze the influencing factors of the differences in high carbon energy CO₂ emissions in the logistics industry from both temporal and spatial dimensions. The results show that over the past decade, the high carbon energy CO₂ emissions from the logistics industry in the six provinces of the Silk Road Economic Belt in China have mainly gone through three stages: high-speed growth period (2013–2014), stable growth period (2015–2019), and fluctuating decline period (2020–2022). The peak was reached in 2019, and logistics output was the main factor driving CO₂ emissions. Energy structure, energy intensity, and employment scale were inhibitory factors, but their contribution was not significant. The average level of CO₂ emissions in the logistics industry of the six provinces is ranked as follows: Sichuan > Yunnan > Guangxi > Shaanxi > Gansu > Qinghai. The scale of employment and logistics intensity in Sichuan have a positive effect, while only the scale of employment in Yunnan maintains a negative effect. Guangxi’s energy structure and logistics output are driving factors, Shaanxi’s logistics industry scale is the only factor driving CO₂ emissions, and Gansu and Qinghai’s logistics industry CO₂ emissions are driven by energy structure.

Copyright

© 2025 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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TY  - CONF
AU  - Aixia Xu
AU  - Zhixian Liang
AU  - Guanxiong Huang
PY  - 2025
DA  - 2025/04/15
TI  - Spatiotemporal Distribution of CO₂ Emissions from the Logistics Industry in the China Segment of the Silk Road Economic Belt and Its Influencing Factors
BT  - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
PB  - Atlantis Press
SP  - 833
EP  - 849
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-676-5_80
DO  - 10.2991/978-94-6463-676-5_80
ID  - Xu2025
ER  -