Affiliations: [a]
School of Economics and Management, Beijing Jiaotong University, Beiing, China
| [b]
School of Management Engineering, Huaiyin Institute of Technology, Huaian, China
| [c]
Department of public policy, City University of Hong Kong, Hong Kong, Hong Kong
Correspondence:
[*]
Corresponding author. Junjie Fan, School of Economics and Management, Beijing Jiaotong University, Beiing 100044, China. Tel.: +86 137 2000 3808; Fax: +86 010 6711 2736; E-mail: [email protected].
Abstract: The construction of a regional logistics industrial ecosystem elicits increasing attention because of the growing awareness of environment protection, and its health evaluation by considering environmental impacts is one of the kernel problems that must be addressed to promote the development of regional logistics. In this study, a comprehensive methodology based on fuzzy mathematics and matter-element analysis theory was presented to accurately evaluate the health status of the regional logistics industrial ecosystem in China. First, the forming mechanism and influencing factors of regional logistics industrial ecosystem were analyzed. Second, a fuzzy matter-element model was constructed to evaluate the regional logistics industrial ecosystem, and the weights of characteristic values of evaluation indexes for fuzzy matter-element were obtained using entropy decision method. Finally, this proposed method was applied to evaluate the logistics industrial ecosystem health of eight provinces in China. In this case, these evaluation indexes include energy consumption, logistics cost, and CO2 emissions. The results show that this method is feasible and effective, and demonstrate the promising application of the proposed model in evaluating the health status of a regional logistics industrial ecosystem and in supplying reliable data for the environmental protection of regional logistics activities.
