资源与产业 ›› 2016, Vol. 18 ›› Issue (6): 68-73.DOI: 10.13776/j.cnki.resourcesindustries.20161223.011

• 资源环境 • 上一篇    下一篇

贵州省资源环境承载力综合评估研究

武凤阳,王晖   

  1. (1中国地质大学 人文经管学院,北京 100083;2国土资源部资源环境承载力评价重点实验室,北京 100083)
  • 收稿日期:2016-11-02 修回日期:2016-11-03 出版日期:2017-01-05 发布日期:2017-01-10
  • 基金资助:
    国土资源部资源环境承载力评价重点实验室开放课题(CCA2016-05)。

COMPREHENSIVE EVALUATION OF GUIZHOU’S RESOURCE AND ENVIRONMENT CARRYING CAPACITY

WU Feng-yang, WANG Hui   

  1. (1.School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China; 2. Key Laboratory of Carrying Capacity Assessment for Resources and Environment, MLR, Beijing 100083, China)
  • Received:2016-11-02 Revised:2016-11-03 Online:2017-01-05 Published:2017-01-10

摘要: 文章采用2010—2014年贵州省经济、人口、环境、资源等数据结合TOPSIS方法构建了贵州省资源环境承载力评价指标体系,运用熵值法对指标进行赋权,通过计算贴合度观测各年份的经济水平、资源环境承载力水平,然后,根据排序结果评估贵州省2010—2014年资源环境承载力变化情况及各评价指标的表现情况。结果表明:1)近5年贵州省经济水平最高的年份是2013年,资源环境承载力最好的年份是2014年,社会经济和资源环境承载力在这段时期内呈总体上升趋势,期间略有回落;2)在经济发展水平系统中,产业结构因子对经济增长和居民收入的作用最大,而在资源环境承载力系统中,关键影响因子由资源禀赋变为环境污染和环境治理,说明贵州省经济发展带来的环境问题日益凸显并对当地的资源环境承载力情况产生了重要影响。

关键词: 贵州省, 资源环境承载力, TOPSIS法, 熵值法

Abstract: This paper uses Guizhou’s 2010-2014 economy, population, environment, resource data to establish an index system to evaluate Guizhou’s resource environment carrying capacity in combination with TOPSIS, applies entropy method to give weight to each index and to calculate by years the economic level and resource environment carrying capacity. Results show that Guizhou reached its best economy in 2013, best resource environment carrying capacity in 2014, an overall rising trend of social economy and resource environment carrying capacity with intermittent falling. Industrial structure contributes the most to economy and residents income in economic domain, while the key factor in resource environment carrying capacity changes to environmental pollution and treatment from resource, indicating the environmental issue arising from economic development which also impacts its local resource environment carrying capacity.

Key words: Guizhou province, resource environment carrying capacity, TOPSIS, entropy method

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