| Title |
Assessing the eco-efficiency of a circular economy system in China's coal mining areas: Emergy and data envelopment analysis |
| ID_Doc |
2259 |
| Authors |
Liu, XL; Guo, PB; Guo, SF |
| Title |
Assessing the eco-efficiency of a circular economy system in China's coal mining areas: Emergy and data envelopment analysis |
| Year |
2019 |
| Published |
|
| DOI |
10.1016/j.jclepro.2018.09.218 |
| Abstract |
Improving the eco-efficiency of the circular economy system in mining areas has been recognized as the most effective way to reduce the greenhouse effect and achieve sustainable development. Based on the emergy theory and on data envelopment analysis (DEA), this paper adopts the SBM-Undesirable model to evaluate the eco-efficiency of the circular economy system in China's largest coal mining area, Shanxi Province, during the period 2006-2015. Emergy flow indices are treated as input and output indices. Eco-efficiency is factorized into economic efficiency and environmental efficiency. The potential for improvement of the circular economy system is analyzed based on input redundancy and output deficiency. The results for the period 2006-2015 indicate the following: (1) both the input and the output of the circular system increase during this period; (2) the increased input relies on mostly imported emergy, and the increase in waste emergy is lower than the exported emergy; (3) eco-efficiency is invalid except for 2011 and 2012 and exhibits a decreasing trend beginning in 2013; (4) environmental efficiency is invalid over the entire period, and the eco-efficiency level is positively related to the economic efficiency score; and (5) the circular economy system has a larger energy saving space, and the key to achieving sustainability of the circular economy system is output growth. (C) 2018 Elsevier Ltd. All rights reserved. |
| Author Keywords |
Emergy analysis; DEA; Eco-efficiency; Circular economy; Coal mining area |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000449449100091 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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