TY - JOUR
T1 - Research on economic benefits of multi-city logistics development based on data-driven analysis
AU - Zhuang, Zilong
AU - Fu, Siqin
AU - Lan, Shulin
AU - Yu, Hang
AU - Yang, Chen
AU - Huang, George Q.
N1 - Funding Information:
The research is supported by the Open Fund of State Key Laboratory of Intelligent Manufacturing System Technology, the key direction project of knowledge innovation and engineering of the Chinese Academy of Sciences: Y92902MED2, E0E90804D2.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/8
Y1 - 2021/8
N2 - This study aims to measure the logistics economic efficiency of major first-tier cities in China and propose the interactive development plan of the green logistics industry based on the division of the urban agglomeration. In this study, the evaluation system for the logistics input and economic output of urban agglomerations is firstly established based on data-driven analytics, and a green logistics economic efficiency model using the dataset from 2008 to 2017 is constructed to estimate the input–output efficiency, development trend, and spatial differentiation of urban agglomerations comprehensively. Finally, the Shapley value method is adopted to obtain the specific distribution plan of logistics investment. The results show that the logistics economic efficiency of the 9 major urban agglomerations is all greater than 1 under the constant returns-to-scale (CRS) hypothesis while the average logistics economic efficiency of Pearl River Delta region, Chengdu-Chongqing region, and Shandong Peninsula region is significantly less than 1 under the medium returns-to-scale (MRS) hypothesis. The comprehensive input–output efficiency of five out of 9 major Chinese urban agglomerations showed a downward trend, with the highest declining rate of 5.9% in the Yangtze River Delta urban agglomeration. The urban agglomeration with the highest increase rate in input–output efficiency from 2013 to 2017 is the Chengdu-Chongqing region, which reached 3.97%.
AB - This study aims to measure the logistics economic efficiency of major first-tier cities in China and propose the interactive development plan of the green logistics industry based on the division of the urban agglomeration. In this study, the evaluation system for the logistics input and economic output of urban agglomerations is firstly established based on data-driven analytics, and a green logistics economic efficiency model using the dataset from 2008 to 2017 is constructed to estimate the input–output efficiency, development trend, and spatial differentiation of urban agglomerations comprehensively. Finally, the Shapley value method is adopted to obtain the specific distribution plan of logistics investment. The results show that the logistics economic efficiency of the 9 major urban agglomerations is all greater than 1 under the constant returns-to-scale (CRS) hypothesis while the average logistics economic efficiency of Pearl River Delta region, Chengdu-Chongqing region, and Shandong Peninsula region is significantly less than 1 under the medium returns-to-scale (MRS) hypothesis. The comprehensive input–output efficiency of five out of 9 major Chinese urban agglomerations showed a downward trend, with the highest declining rate of 5.9% in the Yangtze River Delta urban agglomeration. The urban agglomeration with the highest increase rate in input–output efficiency from 2013 to 2017 is the Chengdu-Chongqing region, which reached 3.97%.
KW - Data envelopment analysis
KW - Logistics economic efficiency
KW - Merger benefit
KW - Urban agglomeration
UR - http://www.scopus.com/inward/record.url?scp=85108679839&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2021.101322
DO - 10.1016/j.aei.2021.101322
M3 - Journal article
AN - SCOPUS:85108679839
SN - 1474-0346
VL - 49
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 101322
ER -