Shang Dan and  Yu Guoxin. Analysis of Differentiation between Precision 1 and 1 Poverty Alleviation in Hebei Province Based on Regression Model
Dynamic Systems and Applications 29 (2020) No. 4, 1171 – 1185

https://doi.org/10.46719/dsa202029412

ABSTRACT.
With the development of socialist modernization in China, the differentiation of rich and poor classes is becoming more and more intense, and poverty alleviation and poverty alleviation has become the key work content of rural reform in China. This study collected the original data of the people in S village of Hebei province by questionnaire survey, then carried on the two-dimensional cross-analysis to the questionnaire hypothesis factor, found out the related factors that affect the poverty alleviation work, finally took the related factors that affect the poverty alleviation work as the independent variable, took the poverty alleviation object participation intention as the dependent variable, carried on the Logistic binary regression analysis, analyzed the correlation degree of each influence factor. The results of the study show that the degree of correlation between each influencing factor and the willingness to participate is from large to small, namely, the understanding of poverty alleviation projects, the way of seeking help, the age, the amount of money willing to invest, the educational background, the gender. The Government’s effective promotion of poverty alleviation work, in line with the economic capacity of poverty alleviation targets, as well as support in knowledge and technical training, is conducive to the better implementation of poverty alleviation work. Applying Logistic regression analysis to accurate poverty alleviation research, it can solve the problem of differentiation research in poverty alleviation work efficiently and accurately, and provide new ideas for future research work.

Keywords: precision poverty alleviation; differentiation; Logistic model; poverty alleviation