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连片特困区生态环境质量与经济发展水平耦合协调性评价

王艳慧1,2,3**,李静怡1,2,3   

  1. (1首都师范大学资源环境与地理信息系统北京市重点实验室, 北京 100048; 2首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048; 3首都师范大学城市环境过程与数字模拟国家重点实验室培育基地, 北京 100048)
  • 出版日期:2015-05-18 发布日期:2015-05-18

Coupling coordination evaluation method between eco-environment quality and economic development level in contiguous special povertystricken areas of China.

WANG Yan-hui1,2,3, LI Jing-yi1,2,3   

  1. (1Beijing Key Laboratory of Resource Environment and Geographic Information System, Capital Normal University, Beijing 100048, China; 2Ministry of Education Key Laboratory of 3Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China; 3State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)
  • Online:2015-05-18 Published:2015-05-18

摘要:

保持生态环境与经济发展的基本平衡、促进贫困地区经济与生态环境协调持续发展是新时期扶贫开发的重要战略之一.本文以武陵片区等6个典型国家连片特困区为研究区,设计连片特困区生态环境质量与经济发展水平耦合协调性评价方法;从生态环境的自然属性出发,建立生态贫困视角下的指标体系,利用层次分析法评价生态环境质量,并与各县经济贫困综合指数进行耦合,计算耦合协调度,分别在片区-省-市-县不同尺度上对其进行定量空间分异分析.结果表明: 在连片特困地区,一半左右的县可以达到协调发展,但大部分县生态环境质量与经济不能做到同步发展,山脉、河流等地理要素大致可以成为协调发展类型的分界线;国家级扶贫县生态环境质量与经济失调发展的现象更严重一些.
 

Abstract:

It is one of the important strategies in the new period of national poverty alleviation and development to maintain the basic balance between the ecological environment and economic development, and to promote the coordinated sustainable development of economy and ecological environment. Taking six contiguous special povertystricken areas as the study areas, a coupling coordination evaluation method between eco-environment quality and economic development level in contiguous special povertystricken areas was explored in this paper. The region’s ecological poverty index system was proposed based on the natural attribute of ecological environment, and the ecological environment quality evaluation method was built up by using AHP weighting method, followed by the design of the coupling coordination evaluation method between the ecological environment indices and the county economic poverty comprehensive indices. The coupling coordination degrees were calculated and their spatial representation differentiations were analyzed respectively at district, province, city, and county scales. Results showed that approximately half of the counties in the study areas achieved the harmoniously coordinated development. However, the ecological environmental quality and the economic development in most counties could not be synchronized, where mountains, rivers and other geographic features existed roughly as a dividing line of the coordinated development types. The phenomena of dislocation between the ecological environment and economic development in state-level poor counties were more serious than those of local poor counties.