Dynamic Research on Residential Consumption Upgrading and Green Logistics Development Based on PVAR Model

Rongteng Han (), Baocheng Ding and Jinlong Tian
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Rongteng Han: Liaoning University of Engineering and Technology, College of Business Administration
Baocheng Ding: Liaoning University of Engineering and Technology, College of Business Administration
Jinlong Tian: Jiangxi University of Finance and Economics, International Business College

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 870-883 from Springer

Abstract: 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.

Keywords: Consumption upgrading; Green logistics; PVAR model; Economic region (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_87

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