"Characteristics, Mechanisms and Poverty Alleviation Models of Poverty in Deep Poverty Areas"

Project leader: Zhou Feizhou Peking University

Start and end time of the project: August 31, 2018 - August 31, 2020

The main research framework of this project is: trying to conduct a general study on the deep poverty problem of deep poverty areas and deep poverty groups, (1) locating the historical stage of current poverty alleviation work, and (2) clarifying the deep poverty problem faced by deep poverty areas. The status quo, (3) further clarify the internal mechanism and internal laws of the development dilemma in deep poverty areas, (4) study the relationship between poverty alleviation and rural revitalization strategies in deep poverty areas, (5) fully draw on the existing experience in deep poverty areas in China And successful practices and experiences in solving problems of deep poverty in developed regions, (6) fully considering the shift of poverty reduction strategies after 2020. The overall goal of the study is: based on the above-mentioned characteristics of the deep poverty areas and groups, according to the different characteristics and needs of different poverty issues, the research proposes the poverty alleviation and rural revitalization path in deep poverty areas.

This research mainly combines theoretical and empirical research, qualitative and quantitative research, conducts large-scale quantitative surveys and typical case interviews, and uses statistical analysis, horizontal and vertical comparative analysis, and sociological structural analysis. Adhere to the "overall research vision", based on solid theoretical and empirical research, comprehensively sort out the current status and internal mechanisms of deep poverty in China's deep poverty-stricken areas, and clearly resolve the relationship between deep poverty and the implementation of rural revitalization strategies. According to local conditions, the rural revitalization path and poverty alleviation model in deep poverty areas are proposed.