The efficiency analysis of logistics industry in three northern regions based on three-stage DEA model

Mengfan Xie

doi:10.1117/12.2691912

23 August 2023 The efficiency analysis of logistics industry in three northern regions based on three-stage DEA model

Mengfan Xie

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127841A (2023) https://doi.org/10.1117/12.2691912
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

This study established a logistics input-output index system and utilized a three-stage DEA model for statistical and computational purposes to conduct both vertical and horizontal dynamic analyses of logistics panel data from China's Three-North regions (northern China, northeastern China, and northwestern China) from 2016 to 2018, exploring the impact of external factors on logistics efficiency with the aim of providing theoretical basis and policy recommendations for the sustainable development of the logistics industry in the Three-North regions. The results showed that there were significant regional heterogeneities in the development of the logistics industry in the Three-North regions, with the highest efficiency found in the North China region, followed by the Northeast China region, and the lowest efficiency in the Northwest China region. In addition, logistics scale was identified as the main factor limiting the development of the logistics industry in the Three-North regions.

Citation Download Citation

Mengfan Xie "The efficiency analysis of logistics industry in three northern regions based on three-stage DEA model", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127841A (23 August 2023); https://doi.org/10.1117/12.2691912

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