Abstract

The study focused on an empirical analysis of poverty determinants among households in Sardauna Province. Primary data were generated through structured questionnaire and interview. Using a multistage sampling approach, a total of 400 households were selected and interviewed. Data collected were subjected to Foster Greer and Thorbecke (FGT) and linear regression analysis. Considering some poverty indicators, the study revealed that using the FGT model of assessment, 86.3 percent of the households covered by the study were poor and would have to mobilize financial resources up to 41.80% of $2 US (#300) per day (for each household member) to be able to escape poverty. Result of linear regression also showed that, educational levels of household, poor feeding, poor sources of water, energy of household and dependency ratio are factors that exert significant influence on household per capita income. In order to reduce poverty and promote peoples’ income, policies that would promote employment opportunities, educational status of household, as well as efforts to enhance women access to more productive resources and investment in infrastructural development are recommended.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.