Research Article
SDM Model Based on Stata to Analyze the Impact of Industrial Agglomeration on Logistics Efficiency
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328018, author={Min Qian and Meiyuan Jin}, title={SDM Model Based on Stata to Analyze the Impact of Industrial Agglomeration on Logistics Efficiency}, proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China}, publisher={EAI}, proceedings_a={ICICA}, year={2023}, month={3}, keywords={sdm model; super - sbm model; spatial correlation analysis; industrial agglomeration; logistics efficiency}, doi={10.4108/eai.2-12-2022.2328018} }- Min Qian
Meiyuan Jin
Year: 2023
SDM Model Based on Stata to Analyze the Impact of Industrial Agglomeration on Logistics Efficiency
ICICA
EAI
DOI: 10.4108/eai.2-12-2022.2328018
Abstract
In this paper, the data of 12 provinces and cities in western China from 2010 to 2020 are taken as samples. Firstly, super-SBM model is used to evaluate logistics efficiency and analyze its current situation. Stata software and SDM model are used to study the impact of industrial agglomeration on logistics efficiency. The results show that the western region of China logistics efficiency has obvious spatial unbalance. There is significant spatial correlation between industrial agglomeration and logistics efficiency.
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