Dynamic Research on Residential Consumption Upgrading and Green Logistics Development Based on PVAR Model
- DOI
- 10.2991/978-94-6463-256-9_87How to use a DOI?
- Keywords
- Consumption upgrading; Green logistics; PVAR model; Economic region
- Abstract
Based on the provincial panel data from 2006 to 2020, this paper uses the PVAR model, impulse response and variance decomposition to analyze the dynamic relationship between residents’ consumption upgrading and green logistics development, and conducts research and comparison by economic regions. Research shows that from 2006 to 2020, the development level of green logistics in China has been increasing year by year, but there are significant differences between economic regions. There is a good interactive relationship between consumption upgrading and the development of green logistics. 3. From the perspective of different economic regions, the development of green logistics has a restraining effect on the consumption upgrading of each economic region; The growth of consumption scale has a significant promoting effect on the development of green logistics in various economic regions; The upgrading of consumption structure has a inhibitory effect on the development of green logistics in the eastern region, but its impact on the central, western, and northeastern regions is not significant. Based on the above research, countermeasures and suggestions have been proposed to reasonably promote the upgrading of residents’ consumption, promote the development of green logistics, and achieve coordinated and sustainable development between the two.
- 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 - Rongteng Han AU - Baocheng Ding AU - Jinlong Tian PY - 2023 DA - 2023/10/09 TI - Dynamic Research on Residential Consumption Upgrading and Green Logistics Development Based on PVAR Model BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 870 EP - 883 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_87 DO - 10.2991/978-94-6463-256-9_87 ID - Han2023 ER -