A study of provincial differences in China＇s eco-compensation framework  

作　　者：LIU Chunla LIU Weidong LU Dadao CHEN Mingxing XU Mei 

机构地区：[1]Department of Resources and Environment Science, Hunan Normal University, Changsha 410008, China [2]Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Regional Sustainable Development Modeling, CAS, Beijing 100101, China [3]School of Tourism, Central South University of Forestry and Technology, Changsha 410004, China

出　　处：《Journal of Geographical Sciences》2017年第2期240-256,共17页地理学报（英文版）

基　　金：National Natural Science Foundation of China,No.41601143,No.41671125,No.41125005; The Foundation of Humanities and Social Sciences of the Ministry of Education,No.16YJC840012; The Philosophy and Social Science Foundation of Hunan Province,No.15YBA273; The Science and Technology Planning Project of Hunan Province,No.2016SK2019

摘　　要：In this study, we developed a theoretical framework to analyze the provincial differences in eco-compensation and selected appropriate measurement methods to investigate these differences in the operation of the eco-compensation framework. Via the use of the coefficient of variation, Atkinson index, and Gini coefficient, we investigated the overall differences in Chinese provincial eco-compensation time series data from 2004 to 2014 and studied the driving mechanism underlying these differences. The results showed that：（1） The provincial eco-compensation standard has geographical features. For example, the provinces crossed by the ＂HU Huanyong Line＂, or located to its northwestern side, have obtained extensive eco-compensation.（2） There was a trend for differences in eco-compensation to increase over time, but with some fluctuations in 2006, 2009, and 2014 as shown by the coefficient of variation, in 2005, 2007, 2011, 2013, and 2014 as shown by the Gini coefficient, and in 2007, 2008, 2011, and 2012 as shown by the Atkinson index.（3） Time series curves indicated that while the signals from the three metrics（coefficient of variation, Atkinson index, and Gini coefficient） differ in a short-term analysis, they show the same tendency in the longer term. The results indicate that it is necessary to evaluate the differences in eco-compensation at the provincial level over a long period of time.（4） Via the calculation of the virtual Gini coefficient, we found that among the factors that influence provincial differences in eco-compensation, the economic value of eco-resources played the decisive role, explaining more than 73% of the difference. The cost of environmental pollution abatement was the second most important factor, accounting for more than 19% of the difference. The input to environmental pollution abatement had the least influence, accounting for less than 8% of the difference. The results agreed with those obtained from other studies, and could be used as a reference by policy makeIn this study, we developed a theoretical framework to analyze the provincial differences in eco-compensation and selected appropriate measurement methods to investigate these differences in the operation of the eco-compensation framework. Via the use of the coefficient of variation, Atkinson index, and Gini coefficient, we investigated the overall differences in Chinese provincial eco-compensation time series data from 2004 to 2014 and studied the driving mechanism underlying these differences. The results showed that：（1） The provincial eco-compensation standard has geographical features. For example, the provinces crossed by the ＂HU Huanyong Line＂, or located to its northwestern side, have obtained extensive eco-compensation.（2） There was a trend for differences in eco-compensation to increase over time, but with some fluctuations in 2006, 2009, and 2014 as shown by the coefficient of variation, in 2005, 2007, 2011, 2013, and 2014 as shown by the Gini coefficient, and in 2007, 2008, 2011, and 2012 as shown by the Atkinson index.（3） Time series curves indicated that while the signals from the three metrics（coefficient of variation, Atkinson index, and Gini coefficient） differ in a short-term analysis, they show the same tendency in the longer term. The results indicate that it is necessary to evaluate the differences in eco-compensation at the provincial level over a long period of time.（4） Via the calculation of the virtual Gini coefficient, we found that among the factors that influence provincial differences in eco-compensation, the economic value of eco-resources played the decisive role, explaining more than 73% of the difference. The cost of environmental pollution abatement was the second most important factor, accounting for more than 19% of the difference. The input to environmental pollution abatement had the least influence, accounting for less than 8% of the difference. The results agreed with those obtained from other studies, and could be used as a reference by policy make

关 键 词：provincial eco-compensation DIFFERENCE MEASURE China 

分 类 号：X171.4[环境科学与工程—环境科学] TU375.4[建筑科学—结构工程]