Identifying Poverty Correlates of Households’ Environmental Health Indicators in Nigeria: A Logistic Regression Paradigm

Sani Isyaku Usman () and Abdullahi Daiyabu Marmara ()
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Sani Isyaku Usman: Northwest University, Kano, Nigeria
Abdullahi Daiyabu Marmara: Federal University Dutse, Nigeria

Eurasian Journal of Social Sciences, 2015, vol. 3, issue 3, 52-62

Abstract: This paper examines the correlates of poverty in Nigeria. While most of the studies done on poverty determinants rely on the socio-economic, demographic and health survey data, the present paper uses the survey data on environmental health indicators to determine poverty in Nigeria. A Logistic regression was estimated based on the data with the poverty as the binary dependent variable (that is poor and non-poor) and a set of environment health variables as the explanatory variables. The results presented in this paper suggested that the environmental health survey data can be used to determine the correlates of poverty. Thus, the study suggests among others that governments at all levels should put more effort in order to achieve sustainable environment through adequate provision of water supply and sanitation.

Keywords: Poverty; Poverty Correlates; Households; Environmental Health Indicators; Logistic Regression (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:ejn:ejssjr:v:3:y:2015:i:3:p:52-62

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