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Spatial variation of energy efficiency based on a Super-Slack-Based Measure: Evidence from 104 resource-based cities
被引:69
|作者:
Yan, Dan
[1
,2
]
Kong, Ying
[1
,3
]
Ye, Bin
[4
]
Shi, Yukun
[5
]
Zeng, Xinyang
[6
]
机构:
[1] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen 518055, Peoples R China
[2] Hubei Normal Univ, Res Ctr Transit & Dev Resource Exhausted Cities, Huangshi 435002, Hubei, Peoples R China
[3] York Univ, Alcuin Coll, Dept Econ, York YO10 5DD, N Yorkshire, England
[4] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Soil & Groundwater Pollut, Shenzhen 518055, Peoples R China
[5] Univ Glasgow, Adam Smith Business Sch, Glasgow G12 8QQ, Lanark, Scotland
[6] Tsinghua Univ, Grad Sch Shenzhen, Div Ocean Sci & Technol, Shenzhen 518055, Peoples R China
基金:
中国博士后科学基金;
中国国家自然科学基金;
关键词:
Resource-based city;
Energy efficiency;
Sustainable development;
Super-SBM model;
K-means cluster;
CARBON EMISSIONS;
ECO-EFFICIENCY;
CHINA;
INDUSTRY;
DEA;
PERFORMANCE;
IMPACTS;
MODEL;
D O I:
10.1016/j.jclepro.2019.117669
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Energy efficiency is tied to energy activities and environmental effects and serves as a useful tool for sustainability analysis. Few insights have been acquired for sustainability development from resource-based cities in developed or developing countries. A Super-Slack-Based Measure (Super-SBM) with undesirable outputs is established to account for the total-factor energy efficiency from an energy-economy-environment perspective. Using China as a case study, the spatial variation in energy efficiency from 104 resource-based cities is analysed, furthermore, the results are compared with a scenario that does not consider environmental constraints. Finally, resource-based cities are classified into three categories through K-means clustering technology: high-efficiency region, medium-efficiency region and low-efficiency region. The investigation results show the following: (1) Efficiency disparities exist in resource-based cities under different scenarios, as a whole, the energy efficiency in the scenario two considering by-products of energy activities is obviously lower, which can more truly represent the sustainability of resource-based cities. (2) Most resource-based cities are in low-efficiency zones with substantial room for improvement. Spatial agglomeration effect or spatial spillover effect appears in a few cities. (3) Urban development in developing countries may follow the full life cycle process of local resources. A total of 262 resource-based cities could be roughly categorized into four types. The energy efficiency of growing type is the highest, followed by grow-up type, recessionary type, and regenerative type. (4) The ordering of efficiency in resource-based city is as follows: oil and gas-based > multiple minerals-based > non-metallic-based > nonferrous metal-based > coal-based > forestry-based > ferrous metal-based. The discussion offered in this study for various types of resource-based cities could provide a reference for other cities or developing countries which are in similar industrialization phases and hope for sustainable development. (C) 2019 Elsevier Ltd. All rights reserved.
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