Logistics Efficiency Analysis of China's Coastal Provinces Based on DEA Model

In this paper, we use the DEA-Malmquist model in data envelope analysis (DEA) to analyze the logistics efficiency of China, Jiangsu, Zhejiang, Fujian, Guangdong, Hainan, Liaoning, Hebei, Shandong and Guangxi. The study shows that from 2011 to 2021, except for Zhejiang, Guangdong, Liaoning, Hebei and Shandong, the comprehensive efficiency of logistics in other provinces has not reached DEA effective. Dynamic analysis by the DEA-Malmquist model, shows that the efficiency increased from 2019 to 2020, but in addition to the pure technical efficiency growth from 2020 to 2021, all the rest decreased, indicating that the development of the logistics industry encountered obstacles.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1145/3700058.3700094
Primary Topic
E-commerce and Technology Innovations
Type
article
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article

Logistics Efficiency Analysis of China's Coastal Provinces Based on DEA Model

Yuxuan Han, Xiangquan Chang
E-commerce and Technology Innovations
article

Logistics Efficiency Analysis of China's Coastal Provinces Based on DEA Model

Yuxuan Han, Xiangquan Chang
article en

Abstract

In this paper, we use the DEA-Malmquist model in data envelope analysis (DEA) to analyze the logistics efficiency of China, Jiangsu, Zhejiang, Fujian, Guangdong, Hainan, Liaoning, Hebei, Shandong and Guangxi. The study shows that from 2011 to 2021, except for Zhejiang, Guangdong, Liaoning, Hebei and Shandong, the comprehensive efficiency of logistics in other provinces has not reached DEA effective. Dynamic analysis by the DEA-Malmquist model, shows that the efficiency increased from 2019 to 2020, but in addition to the pure technical efficiency growth from 2020 to 2021, all the rest decreased, indicating that the development of the logistics industry encountered obstacles.

University of Jinan (CN)
Openalex Percentile: Top 56%
E-commerce and Technology Innovations
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