Multi-dimensional poverty and analysis of factors that affect poverty: empirical evidence from quang ngai province, Vietnam

The purpose of this study is to identify multi-dimensional poverty and its influencing factors in the province - Quang Ngai, Vietnam. We have applied the Binary Logistic Regression model on the survey data of 500 households in the lowland and mountainous areas of Quang Ngai. The results show that factors affecting multi-dimensional poverty include: Distance from home to the local administrative and commercial centers; Dependency persons in the household; Living area; Qualification; Access to information; Ethnic groups; Borrowing from formal financial institutions; Employment of the head of household; Household size; Scale of agricultural land; and Age of household head.