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

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  • Sani Isyaku Usman

    (Northwest University, Kano, Nigeria)

  • Abdullahi Daiyabu Marmara

    (Federal University Dutse, Nigeria)

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.

Suggested Citation

  • Sani Isyaku Usman & Abdullahi Daiyabu Marmara, 2015. "Identifying Poverty Correlates of Households’ Environmental Health Indicators in Nigeria: A Logistic Regression Paradigm," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 3(3), pages 52-62.
    • Handle: RePEc:ejn:ejssjr:v:3:y:2015:i:3:p:52-62
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    References listed on IDEAS

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    1. AfDB AfDB, 2013. "Millennium Development Goals (MDGs) Report 2013 - Full Report," MDG Report 466, African Development Bank.
    2. Ravallion, Martin, 1996. "Issues in Measuring and Modelling Poverty," Economic Journal, Royal Economic Society, vol. 106(438), pages 1328-1343, September.
    3. AfDB AfDB, 2013. "Millennium Development Goals (MDGs) Report 2013 - Executive Summary," MDG Report 471, African Development Bank.
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