期刊
ENERGY
卷 150, 期 -, 页码 493-507出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2018.03.004
关键词
DEA; GDDF; Resource-saving; Environmental protection
资金
- National Social Science Foundation of China [16ZDA011]
In spite of its rapid economic development, China is faced with serious issues of resource shortage and environmental pollution. This paper is aimed at exploring the issues of resource shortage and environmental pollution in Chinese cities by means of efficiency evaluation. Through the Super-efficiency general directional distance function (GDDF) model, this paper calculates the urban efficiencies of resource-saving (UERS) of 197 Chinese cities from 2011 to 2015. Furthermore, considering the environmental problems, it applies the Super-efficiency GDDF model with undesirable outputs, and accesses the urban efficiencies containing environmental factors (UEEF). The empirical results are listed as follows. (1) Most of the Chinese cities exhibited comparatively low UERS and UEEF, indicating great potential for the reduction of resource consumption and environmental pollution; (2) Those groups with higher levels of resource-saving efficiency tend to have poorer environmental efficiency. This means that many cities achieve good economic performance at the expense of the environment; (3) In order to realize the sustainable economic and social development, we should not only save resources, but also reduce the emission of pollutants. (C) 2018 Elsevier Ltd. All rights reserved.
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