期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 41, 页码 58342-58354出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-14781-x
关键词
Emergy; Logistics park; Ecological efficiency; Evaluation; Optimization
资金
- Humanities and Social Sciences Research Projects of Anhui Universities [SK2019A0538]
- Key scientific research projects of Suzhou University [2019yzd13]
- Primary Research and Development Program of Anhui Province [201904a05020087]
- Natural Science Foundation of Anhui Province [2008085me150]
- Key project of natural science research in Universities of Anhui Province [kj2019a0673]
- National Social Science Project [20bgl108]
- Excellent Academic and Technical Backbone of Suzhou University [2018XJGG12]
- Research on the innovation and development of Social Sciences in Anhui Province [2020CX093]
This paper proposes a method based on emergy to evaluate the ecological efficiency of logistics park, quantitatively assesses the correlation between various factors and ecological efficiency, and provides suggestions for improving the ecological efficiency of logistics park.
With the rapid development of logistics park, how to evaluate and optimize the ecological efficiency of logistics park to achieve its sustainable development has become a concern of academia. In order to achieve this goal, this paper puts forward a method based on emergy, which processes the data in a unified dimension. By constructing the ecological efficiency evaluation model of logistics park, it quantitatively evaluates the ecological efficiency of logistics park, and analyzes the correlation between various factors and ecological efficiency. The application results of H logistics park show that fuel oil, information technology, net profit, and waste gas are closely related to the ecological efficiency of logistics park, and the correlation coefficients are 0.8248, -0.6949, 0.8544, and 0.7661, respectively. On this basis, the paper puts forward some suggestions to improve the ecological efficiency of the logistics park. This paper provides theoretical and methodological support for the evaluation and optimization of the ecological efficiency of the logistics park.
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