DIAGNOSIS OF VILLAGE POVERTY RISK TOLERANCE FROM THE PERSPECTIVE OF SYNERGY THEORY: A CASE STUDY OF PINGLI COUNTY IN SHAANXI PROVINCE, CHINA
ZHANG Jian1,2, RUAN Zheng2, RUI Yang2, LI Tong-sheng2, LIU Xiao-qiong2, YANG Hua2
1. Institute of Silk Road Studies China/Research Center for Environmental Change and Cultural Evolution in the Yellow River Basin, Northwest University, Xi'an 710069, China;
2. College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China
Abstract：In the post-poverty era when China's precision poverty alleviation strategy is coming to an end, rural areas have achieved remarkable results in poverty alleviation. This paper takes 79 poor villages in Pingli county as examples, uses the synergy theory to establish a dynamic index system and evaluation model of poverty risk tolerance, uses the methods of PCA(Principal Component Analysis) and GWR(Geographically Weighted Regression) to identify poverty risk factors in Pingli county, measures the risk tolerance level of poor villages and then compares with the incidence of poverty. The study found that: The main risk factors of poor villages were natural-background factors, location-produce resource factors, push and pulling factors, production and living security factors; The whole county's tolerance for poverty risk is in the middlelow level, the poverty risk tolerance for poor villages in the central part is low that shows a "collapse" pattern which two-level differentiation is serious.
张健, 阮征, 芮旸, 李同昇, 刘晓琼, 杨华. 协同学视角下的村域贫困风险耐受度诊断——以陕西省平利县为例[J]. 人文地理, 2020, 35(4): 64-73.
ZHANG Jian, RUAN Zheng, RUI Yang, LI Tong-sheng, LIU Xiao-qiong, YANG Hua. DIAGNOSIS OF VILLAGE POVERTY RISK TOLERANCE FROM THE PERSPECTIVE OF SYNERGY THEORY: A CASE STUDY OF PINGLI COUNTY IN SHAANXI PROVINCE, CHINA. HUMAN GEOGRAPHY, 2020, 35(4): 64-73.
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