Emergy-based ecological efficiency evaluation and optimization method for logistics park

Abstract

: The rapid development of the economy and the change in transaction mode has promoted the development of logistics parks. How to evaluate and optimize the ecological efficiency of logistics park to achieve its sustainable development has been considered a challenge. Therefore, this paper puts forward an emergy based ecological efficiency evaluation and optimization method for Logistics Park. By constructing the ecological efficiency evaluation model of logistics park, it quantitatively evaluates the ecological efficiency and sustainable development 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.

Data-driven evaluation and optimization of the sustainable development of the logistics industry: case study of the Yangtze River Delta in China

“…This study has the following advantages over previous work (Wang et al 2020 , 2021a , b ). First, the data-driven evaluation index system in this study can analyze the level of LISD, clearly quantify it, and provide theoretical support for evaluating the ability of LISD.…”

“…Economic and development foundations provide crucial support for implementing LISD, and economies of scale can measure its output performance (Wang et al 2019 ; Wang et al 2021a , b ). Technological innovation plays a leading role in LISD (Cao et al 2020 ), environment effect is the impact of LISD on the environment, and social responsibility is the contribution to the country and the social security issues brought by LISD (Yang 2019 ).…”

“…Mu et al ( 2019 ) constructed an index system for the coordinated development of LI from four dimensions—economic environment, scale level, input level, and output effect of LI—and used the coupling coordination degree model to correlate the coupling and coordination of LI in Xinjiang. Wang et al ( 2020 , 2021a , b ) constructed an ecological efficiency evaluation model of logistics parks based on energy to quantitatively evaluate the sustainable development level of logistics parks. It can be seen that scholars mostly build evaluation index systems from the perspective of enterprises, etc., and further research is needed to establish an evaluation index system from an industrial perspective, taking into account the economy, society, and environment.…”

Data‐Driven‐Based Study on Sustainable Improvement of the Regional Logistics Industry

“…Terefore, various indicator systems for LISD have been constructed from the perspective of economy, society, environment, technological innovation, and industry policy [15]. Particularly, detailed indicators include the logistics carrying capacity [16], industrial performance, innovation capacity, emissions and industry output [17], logistics packaging sustainability [18], and ecological efciency [19].…”

Environmental Regulation, Financial Pressure and Industrial Ecological Efficiency of Resource-Based Cities in China: Spatiotemporal Characteristics and Impact Mechanism

“…This is a common indicator for evaluating the relationship between industrial development and the ecological environment. Recent studies on IEE have been carried out mainly from three aspects: (1) research scale: different studies are carried out at the country [ 3 , 4 , 5 ], region [ 6 , 7 ], city [ 8 , 9 ], or enterprise [ 10 , 11 ] level; (2) research method: common methods include data envelope analysis (DEA) [ 12 , 13 , 14 ], ecological footprint method [ 15 , 16 ], energy analysis [ 17 , 18 , 19 ], and material flow analysis [ 20 , 21 , 22 ] (DEA is the most widely used method since it evaluates the weight of the endogenous indices and has strong objectivity); and (3) influencing factors: econometric models are used to study the influences of economic development [ 23 ], industrial structure [ 24 ], energy structure [ 25 ], and foreign capital utilization [ 26 ] on IEE.…”