以武陵山片区71个县(市、区)为研究对象,构建巩固脱贫攻坚成果与乡村振兴评价指标体系,运用因子分析法、耦合协调度模型及空间自相关模型对武陵山片区各县进行量化评价。研究发现:整体上,武陵山片区处于巩固脱贫攻坚成果与乡村振兴有效...以武陵山片区71个县(市、区)为研究对象,构建巩固脱贫攻坚成果与乡村振兴评价指标体系,运用因子分析法、耦合协调度模型及空间自相关模型对武陵山片区各县进行量化评价。研究发现:整体上,武陵山片区处于巩固脱贫攻坚成果与乡村振兴有效衔接的初级阶段,69%的县(市、区)位于勉强协调及以下,89%的县(市、区)位于初级协调及以下;该片区耦合协调程度空间差异明显,整体呈现“北部高,中部和南部低”的空间分布特征;在地区差异上,其耦合协调程度从高到低依次是重庆片区、湖北片区、湖南片区、贵州片区;全局Moran’s I指数为0.154,局部聚集特征较为凸显,以西北部、东南部的高–高聚集型和中部的低–低聚集型分布。Taking 71 counties (cities and districts) in the Wuling Mountain Area as the research objects, evaluation index system for consolidating the results of poverty eradication and rural revitalization was constructed and the quantitative evaluation of each county were conducted by using factor analysis, coupling coordination degree model and spatial autocorrelation model. The study found that the Wuling Mountain Region was at the primary stage of effective coupling between consolidation of poverty eradication achievements and rural revitalization, with 69% of the counties (cities and districts) being barely coordinated or below, and about 89% of the counties (cities and districts) being at the primary coordination or below. The spatial differences in the degree of coupling coordination in the region were obvious, showing an overall spatial distribution characteristic of “high in the north, low in the central and southern parts”. In terms of regional differences, the spatial distribution of the coupling coordination degree is from high to low in Chongqing, Hubei, Hunan and Guizhou;the global Moran’s I index is 0.154, and the local aggregation characteristics are more prominent, with high-high aggregation in the northwest and southeast and low-low aggregation in the central part of the region distribution.展开更多
文摘以武陵山片区71个县(市、区)为研究对象,构建巩固脱贫攻坚成果与乡村振兴评价指标体系,运用因子分析法、耦合协调度模型及空间自相关模型对武陵山片区各县进行量化评价。研究发现:整体上,武陵山片区处于巩固脱贫攻坚成果与乡村振兴有效衔接的初级阶段,69%的县(市、区)位于勉强协调及以下,89%的县(市、区)位于初级协调及以下;该片区耦合协调程度空间差异明显,整体呈现“北部高,中部和南部低”的空间分布特征;在地区差异上,其耦合协调程度从高到低依次是重庆片区、湖北片区、湖南片区、贵州片区;全局Moran’s I指数为0.154,局部聚集特征较为凸显,以西北部、东南部的高–高聚集型和中部的低–低聚集型分布。Taking 71 counties (cities and districts) in the Wuling Mountain Area as the research objects, evaluation index system for consolidating the results of poverty eradication and rural revitalization was constructed and the quantitative evaluation of each county were conducted by using factor analysis, coupling coordination degree model and spatial autocorrelation model. The study found that the Wuling Mountain Region was at the primary stage of effective coupling between consolidation of poverty eradication achievements and rural revitalization, with 69% of the counties (cities and districts) being barely coordinated or below, and about 89% of the counties (cities and districts) being at the primary coordination or below. The spatial differences in the degree of coupling coordination in the region were obvious, showing an overall spatial distribution characteristic of “high in the north, low in the central and southern parts”. In terms of regional differences, the spatial distribution of the coupling coordination degree is from high to low in Chongqing, Hubei, Hunan and Guizhou;the global Moran’s I index is 0.154, and the local aggregation characteristics are more prominent, with high-high aggregation in the northwest and southeast and low-low aggregation in the central part of the region distribution.
