关键词: 产业扶贫, 空间贫困陷阱, 村域, 湘西

Abstract:

As the focal point of developing poverty alleviation, industry poverty alleviation has remarkable effect on changing the plight of poverty-stricken areas. Industry poverty alleviation focuses on the development of industries, promote poverty reduction and development simultaneously. However, the driving force of industrial development comes from the comparative advantages of the composition of regional production factors, such as natural resources, ecological environment, land, labor force and capital, which is closely related to the geographical environment, synthesized by a series of indicators with geographical attributes. There is a significant comparative disadvantage in poor areas determined by geographical environment. From the perspective of industrial poverty alleviation, this article introduces the concept of “spatial Poverty Traps”, chooses Hunan Province, Xiangxi Tujia and Miao Autonomous Prefecture, Baojing County as the research case area, constructs the spatial poverty trap measure index system for the industry poverty alleviation in 5 dimensions: natural environment, geographical location, economic foundation, human capital and social undertakings, identifies and measures the spatial density of the spatial poverty trap using the kernel density analysis method, and puts forward the corresponding development strategy to provide scientific basis for precise poverty alleviation. The results indicate that the plight of industrial poverty alleviation in Baojing county. Most administrative villages are affected by one or more dimensions of the spatial poverty trap, characterized by mountainous areas, reservoir areas, inconvenient transportation and economic and social development backward. The strategies of industrial poverty alleviation is developing village economy focus on small-scale farmers, constructing “point-axis” rural logistics and distribution system, increasing industrial financial service support, strengthening rural human capital accumulation, mining the industrial properties of social undertakings. The study also found that poverty-stricken areas face long-term constraints of space poverty traps. In the future, we should carry out long-term dynamic monitoring to the poor areas, adjust the measures to solve the problem of poverty alleviation and resource allocation, and to improve the poverty alleviation effect of the poverty alleviation industry.

Key words: industry poverty alleviation, spatial poverty trap, village area, Xiangxi