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基于水足迹视角下的水资源利用与经济协调发展脱钩分析——以贵州省为例 被引量:16

Decoupling Analysis of Water Resources Utilization and Economic Coordinated Development Based on Water Footprint——Taking Guizhou Province as an example
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摘要 为了探讨贵州省水资源利用与经济协调发展之间的关系,利用贵州省2006-2015年统计数据计算其水足迹指标以及水足迹评价指标,并构建协调发展脱钩评价模型对水资源利用与经济发展之间的关系进行评价,结果表明:贵州省2006-2015年水足迹总体上呈波动下降趋势,其中农业用水是水足迹的主要组成部分,平均占比为57.83%,农业用水中,粮食作物和蔬菜水足迹占比最大,平均占比为38.42%和41.96%;水资源自给率、水资源压力指数和水资源匮乏指标均较高;GDP增长与水资源利用的关系整体上在波动中由弱脱钩的初级协调向强脱钩的优质协调转化。基于以上结论,通过改变消费结构、改变虚拟水贸易结构以及优化产业结构来进一步促进贵州省水资源利用与经济增长之间更好的协调发展。 In order to explore the relationship between the coordinated economic development and utilization of water resources in Guizhou Province,the statistical data in Guizhou from 2006 to 2015 is used to calculate the water footprint and water footprint evaluation indicators and build harmonious development decoupling evaluation model to evaluate the relationship between water resources utilization and economic coordinated development. The result shows that water footprint falling volatility trend on the whole in 2006-2015 of Guizhou Province,the agricultural water is the main part of water footprint average accounting for 57.83%. In agricultural water,the water footprint of food crops and vegetables than the average accounted for 38.42% and 41.96%.The water resource self-sufficiency rate,water resources pressure index and water scarcity index were high. The relationship of GDP growth and water resource utilization in the fluctuation transformed the weak decoupling primary coordination to strong decoupling quality coordination on the whole. Based on the above conclusions,by changing the consumption structure,the trade structure of virtual water,and the industrial structure is optimized to further promote better coordinated development between economic growth and utilization of water resources in Guizhou Province.
出处 《中国农村水利水电》 北大核心 2017年第8期86-91,共6页 China Rural Water and Hydropower
基金 十三五国家重点研发计划课题:喀斯特高原峡谷石漠化综合治理与生态产业规模经营技术与示范(2016YFC0502607)
关键词 水足迹 水资源 经济增长 脱钩分析 water footprint water resources economic growth decoupling analysis
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