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Environmental efficiency and its distribution dynamics in Chinese cities

机译:中国城市环境效率及其分布动态

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This paper investigates environmental efficiency and its distribution dynamics in Chinese cities. The analyses are applied the meta-frontier data envelopment analysis and the continuous dynamic distribution approach together with panel data of 286 Chinese cities at the prefecture and above-prefecture levels. The results show that during the period of 2002-2011, the average environmental efficiency in Chinese cities is well below the production frontier. The coastal cities show better performance than the central and western cities; large and extra-large cities are more efficient than small and medium cities; and the environmental efficiency for the 'key' cities is slightly better than that for the 'non-key' cities. The spatial dynamic distribution analyses indicate that the environmental efficiency of Chinese cities tends to converge. To improve environmental efficiency in the future, the government should pay more attention to the central cities, medium and large size cities in western China, and the non-key cities. Abbreviations: CPI- Consumer price index; DEA- Date envelopment analysis; DMU- Decision making unit; GDP- Gross domestic product; GMI -Group- frontier managerial inefficiency; IPCC-Intergovernmental Panel on Climate Change; MTR- Meta- technology gap ratio; NTP- Net transition probability; PAA- Prefecture and above-prefecture levels; PIM Perpetual inventory method; 5FA Stochastic frontier analysis; TGI Technology gap inefficiency
机译:本文研究了中国城市的环境效率及其分布动态。这些分析应用了元边界数据包络分析和连续动态分布方法,以及286个中国地级及地级以上城市的面板数据。结果表明,在2002年至2011年期间,中国城市的平均环境效率远低于生产前沿。沿海城市的表现要好于中西部城市。大型和超大型城市比中小型城市更有效率;而且“重点”城市的环境效率略高于“非重点”城市。空间动态分布分析表明,中国城市的环境效率趋于收敛。为了将来提高环境效率,政府应更加重视中心城市,中国西部的大中城市和非重点城市。缩写:CPI-消费者价格指数; DEA-日期包络分析; DMU-决策单位;国内生产总值GMI-小组边界管理效率低下; IPCC-政府间气候变化专门委员会; MTR-元技术缺口率; NTP-净转移概率; PAA-地区及县级以上; PIM永续盘存方法; 5FA随机前沿分析; TGI技术差距低效

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