Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)

<Previous Article In Volume
Next Article In Volume>

Research on the driving factors of road freight carbon emissions based on SFA-Take Shaanxi Province as an example

Authors
Shengzhong Zhang1, Shasha Lan1, *
1School of Economics and Management, Chang’an University, Xi’an, Shaanxi, 710064, China
*Corresponding author. Email: shashal1999@163.com
Corresponding Author
Shasha Lan
Available Online 23 July 2024.
DOI
10.2991/978-94-6463-459-4_40How to use a DOI?
Keywords
CO2 emissions from road freight; LMDI decomposition method; stochastic frontier production function; Tapio decoupling model
Abstract

This paper used the modified LMDI decomposition method of the stochastic frontier production function and the Tapio decoupling model to empirically analyze the driving factors and decoupling relationship of road freight carbon emissions in Shaanxi Province from 2000 to 2021. The results show that the technical efficiency of the road freight industry fluctuates wildly, which is positively correlated with the urbanization rate, the proportion of grade highways, and the industry concentration, and negatively associated with environmental regulation and the degree of opening to the outside world. Based on the above results, some suggestions are put forward to optimize the energy supply and consumption structure, improve the energy use efficiency, adjust the industrial structure, and improve the technical efficiency of the road freight industry in Shaanxi Province to promote the green and high-quality development of the road freight 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
23 July 2024
ISBN
10.2991/978-94-6463-459-4_40
ISSN
2352-5428
DOI
10.2991/978-94-6463-459-4_40How 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

risenwbib
TY  - CONF
AU  - Shengzhong Zhang
AU  - Shasha Lan
PY  - 2024
DA  - 2024/07/23
TI  - Research on the driving factors of road freight carbon emissions based on SFA-Take Shaanxi Province as an example
BT  - Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)
PB  - Atlantis Press
SP  - 320
EP  - 330
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-459-4_40
DO  - 10.2991/978-94-6463-459-4_40
ID  - Zhang2024
ER  -