The application of Binary Logistic regression in analyzing Hoi An's poverty

Tóm tắt

This paper is to analyse the poverty reduction results, clarify some basic factors and their impacts on poverty probability in Hoi An city by using quantitative methods, the model of Binary Logistic regression. The results show that the poverty rate, especially the poverty gap and poverty severity in Hoi An strongly declined in the 2010-2012 survey period. Quantitative analysis also reveals the factors that increase probability of being poor is mainly due to high number of people living dependently in households, poor health status with many illnesses. In addition, rise in probability of poverty in Hoi An is also caused by almost main labour worked in agricultural sector, low education level, low number of labour in households and difficulty in accessibility of credit capital.