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Research Paper | Economics and Management | China | Volume 10 Issue 1, January 2021 | Rating: 6.8 / 10

An Evaluation Method of Regional Logistics Competitiveness Based on TOPSIS-DEA Model

Zhiyu Zhao

Abstract: Logistics industry has gradually become an important industry to improve the competitiveness of regional economy. It is very necessary to evaluate the competitiveness of regional logistics industry and put forward targeted suggestions. In order to evaluate the logistics competitiveness of different regions in a certain period of time, this paper proposes a dynamic comprehensive evaluation model based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Data Envelopment Analysis (DEA). First of all, in order to overcome the shortcomings of traditional model based on cross-section data for static evaluation, the development factor is used to reward and punish the panel data, and the quadratic weighting method is used to comprehensively calculate the evaluation results of TOPSIS every year. Secondly, DEA-Malmquistis used to calculate the logistics efficiency. Next, TOPSIS and DEA evaluation results are drawn in the two-dimensional coordinate department. Finally, based on the data of Chinese provinces along the Belt and Road, the logistics competitiveness of regional logistics is studied. The results show that, through TOPSIS-DEA model, it can be clearly analyzed that Coastal China has strong logistics capacity and high logistics efficiency; the Southwest China, Inland China and Northeast China have weak logistics capacity but high logistics efficiency; the Northwest China has weak logistics capacity and low logistics efficiency.

Keywords: improved TOPSIS, DEA-malmquist, dynamic comprehensive evaluation, logistics competitiveness

Edition: Volume 10 Issue 1, January 2021,

Pages: 597 - 604