FACTORS TRIGGERING POVERTY IN DISTRICT THARPARKAR SINDH, PAKISTAN

Authors

  • V. Suthar Department of Statistics, University Agriculture University, Tandojam, Pakistan
  • M. S. Sarki Department of Soil Science, Sindh Agriculture University, Tandojam, Pakistan
  • N. A. Qureshi Department of Statistics, University Agriculture University, Tandojam, Pakistan
  • B. K. Solangi Department of Entomology, Sindh Agriculture University, Tandojam, Pakistan
  • T. Mangan Department of Agricultural Economics, Sindh Agriculture University, Tandojam, Pakistan

Keywords:

maximum likelihood method, poverty, survey data, Tharparkar-Sindh

Abstract

Poverty is one of the most unadorned problems of Pakistan; about over one third of the population is declared as poor. Several programs planned by the government and NGOs to eliminate the poverty could not succeed in their high honored goals. Current study has strived to discover the factors related with poverty in Tharparkar district of Sindh, Pakistan. The survey data in the study showed that three-fourth of the population this district lives below poverty line.  Maximum likelihood method was used to estimate the factors associated with poverty. On an overall basis the logistic regression model could correctly classified about 81.5% of the total cases. Furthermore, the highest probabilities for poor were likely for less educated household heads, bigger household size and the female household heads were more exposed than male household heads to risk of being poor at the level of significance set at 0.05.

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Published

2016-12-31