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中国14个集中连片特困地区自我发展能力测算及时空演变分析 被引量:25

Estimation and Spatio-Temporal Evolution Analysis of Self-Development Capacity in Chinese 14 Pieces Concentrated Destitute Areas
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摘要 基于区域农村发展系统视角将连片特困区自我发展能力解构为由3个一级子系统和6个二级子系统构成的人工—自然复合开放系统。运用TOPSIS改进因子分析方法测算了14个集中连片特困区2012—2014年的自我发展能力,分析了14片区自我发展能力时空演变趋势。结论表明:14片区根据其自我发展能力的大小及空间分布可划分为三种类型;14片区自我发展能力水平整体提高,但区际间发展不平衡;14片区依据其自我发展能力内部二级子系统"短板"可划分六种制约型区域;各片区自我发展能力内部结构一致性差距较大;14片区自我发展能力呈现出"由西部—东部逐渐上升"的空间分布特征,自我发展能力高分片区呈现向东部和南部集中趋势。 Based on the perspective of regional rural development system, this article accounts for continuous destitute area self-development capacity is a artificial-natural complex open system which contains three primary subsystem and six secondary subsystem. Based on Topsis to improve the factor analysis method, this paper estimates the 14 pieces concentrated destitute areas in 2012-2014 self-development capacity, analyses their spatio-temporal evolution of self- development capacity. The result shows that, according to the size and spatial distribution of the self-development capacity, the 14 pieces areas can be divided into three types; the self-development capacity level of 14 pieces areas have been enhanced, but the development between 14 regions is unbalanced; according to the self-development capacity of internal secondary subsystem "short board", 14 pieces areas can be divided into six restricting types of areas; the gap of the internal structural consistency for self-development capacity is big; the self-development capacity of 14 pieces areas show" by the west- east gradually rise" spatial distribution characteristic, the high score regions of Self-development capacity present a patio-temporal tendency of concentrating east and south areas.
作者 徐孝勇 封莎
出处 《经济地理》 CSSCI CSCD 北大核心 2017年第11期151-160,共10页 Economic Geography
基金 国家社会科学基金项目(11XJL010)
关键词 扶贫工程 脱贫攻坚计划 区域贫困 资源环境承载力 集中连片特困区 自我发展能力 Topsis改进因子分析方法 anti-poverty project plan for poverty reduction regional poverty capacity of resources environment concentrated destitute areas self-development capacity Topsis to improve the factor analysis method
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