Spatial distribution and potential poverty-returning factors of former poverty-stricken villages in the Liangshan Mountains,China  

作　　者：CHEN Yang SHU Bo CHEN Yu HU Jin-hao WEI Dong 

机构地区：[1]School of Architecture,Southwest Jiaotong University,Chengdu 611756,China [2]School of Architecture and Civil Engineering,Xihua University,Chengdu 610039,China

出　　处：《Journal of Mountain Science》2023年第9期2692-2707,共16页山地科学学报（英文）

基　　金：supported by the Sichuan Province Science and Technology Support Program(Grant No.2020YFS0309);the Key Research Institution of Philosophy and Social Sciences in Sichuan Province:Research Center for Yi Culture(Grant No.YZWH 2303);the Key Research Institution of Philosophy and Social Sciences in Sichuan Province:Research Center of National Parks(Grant No.GJGY2023-YB001)。

摘　　要：Remote mountainous villages are at risk of falling back into poverty,despite having been lifted out of extreme poverty.However,there has been a lack of focus on the factors contributing to povertyreturn in these villages,which making it difficult to understand the risks and their underlying causes.This study investigates the spatial distribution of 546 key assistance villages(KAVs)in the Liangshan mountainous region,a former poverty-stricken area,using the average nearest neighbor(ANN)and kernel density estimation(KDE)methods.Linear regression and geographically weighted regression(GWR)models are then employed to analyze the relationship between the KAVs'economy and potential povertyreturning factors.The results show that KAVs are primarily located in elevation ranges of 1800-2500 m(31.87%),with slopes of 6°-15°(42.67%)and 2-3 km from the township(28.94%).The distribution of KAVs exhibits distinct spatial clustering,forming four gathering areas.Several factors impact the KAVs'economy positively,including the normalized difference vegetation index(NDVI),built-up area,grassland,and education facilities,while elevation has a negative effect.The built-up area has the most critical impact on the rural economy,followed by NDVI and elevation.Additionally,education facilities and grassland areas also have significant effects.The study suggests promoting the Ex-situ Poverty Alleviation Relocation Program(ESPARP)and increasing rural built-up areas,grasslands,and educational facilities as practical measures for preventing poverty return and promoting economic development promotion in remote mountain villages.

关 键 词：Key assistance villages Rural revitalization Spatial distribution Potential poverty-returning factors Geographically weighted regression 

分 类 号：P208[天文地球—地图制图学与地理信息工程] F323.8[天文地球—测绘科学与技术]