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喀斯特山区村域多维贫困空间异质性研究——以盘州市为例 被引量:2

Spatial Heterogeneity of Multidimensional Poverty at the Village Level in Karst Mountain Area—A Case of Panzhou City, China
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摘要 厘清喀斯特山区贫困人口空间分布及贫困机理是我国全面建成小康社会的关键。基于自然环境、地理区位、经济基础及人力资本4个维度指标测算了盘州市村域多维贫困,并结合GIS技术分析了其空间异质性。结果表明:(1)31.65%的行政村处于多维贫困状态,主要集中分布在盘州市的北部、东部以及零星分布在西部和南部。(2)多维贫困的热点区主要分布在各维度上均未处于冷点区的盘州市北部的乌蒙镇、坪地彝族乡、柏果镇、普古彝族苗族乡以及旧营白族彝族苗族乡东部和竹海镇东南部。(3)4个行政村在各维度上均处于贫困,53个行政村在其中3个维度处于贫困,贫困维度的热点区集中在盘州市北部的乌蒙镇与坪地彝族乡交界处、柏果镇、鸡场坪镇北部、淤泥乡北部、旧营白族彝族苗族乡东部以及竹海镇东南部。(4)根据盘州市实际情况,将各行政村的脆弱维度组合划分为自然条件缺乏型、经济基础缺乏型、人力资本缺乏型、自然经济兼缺型、自然人力兼缺型、经济人力兼缺型、自然经济人力兼缺型和发展友好型8类,并提出相应的脱贫建议。通过对村域多维贫困定量测度和空间异质性研究,明晰了多维贫困的测度方法及其空间分异规律,这对区域全面脱贫和乡村振兴具有重要的现实意义。 To clarify the spatial distribution of a poor population and mechanisms which result in poverty in a karst mountain area is key to building a moderately prosperous society in all respects in China. In this paper, the multidimensional poverty of villages in Panzhou City was measured on the basis of four dimensions of the natural environment, geographical location, economic base and human capital, and its spatial heterogeneity was analyzed using GIS technology. The results are shown as follows:(1) A total of 31.65% of the villages were in multidimensional poverty, and they were primarily concentrated in the north and east and scattered west and south of Panzhou City.(2) The hot spots of multidimensional poverty were primarily distributed in Wumeng Town, Pingdi Yi Town, Baiguo Town, the eastern parts of Pugu Yi and Miao Town and Jiuying Bai, Yi and Miao Town and southeast of Zhuhai Town in Panzhou City, which were not in the cold spots in the dimensions of the natural environment, geographical location, economic base and human capital.(3) There were four villages that were in poverty in the four dimensions of the natural environment, geographical location, economic basis and human capital, and fifty-three villages were in poverty in three dimensions of the natural environment, geographical location, economic basis and human capital. The hot spots of the dimensions of poverty were concentrated in the junction of northern Wuweng Town and Pingdi Yi Town, Baiguo Town, the northern parts of Jichangping Town and Yuni Town, the eastern parts of Jiuying Bai, Yi and Miao Town and southeast of Zhuhai Town in Panzhou City.(4) According to the actual conditions of Panzhou City, the fragile dimension of the villages were divided into eight types, namely the lack of natural conditions, an economic foundation, human capital, natural conditions and an economic foundation, natural conditions and human capital, an economic foundation and human capital, natural conditions, an economic foundation and human capital, and development-frie
作者 朱昌丽 周忠发 谭玮颐 ZHU Changli;ZHOU Zhongfa;TAN Weiyi(School of Geography and Environmental Science/Institute of Karst Science, Guizhou Normal University, Guiyang, 550001, China;The State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang, 550001, China;State Engineering Technology Institute for Karst Desertification Control, Guiyang, 550001, China)
出处 《山地学报》 CSCD 北大核心 2019年第3期438-450,共13页 Mountain Research
基金 国家自然科学基金地区项目(41661088) 贵州省科技计划项目(黔科合平台人才[2017]5726-57) 贵州省高层次创新型人才培养计划-“百”层次人才(黔科合平台人才[2016]5674)~~
关键词 喀斯特 多维贫困 空间异质性 脆弱性 盘州市 karst multidimensional poverty spatial heterogeneity vulnerability Panzhou City
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