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Determinants of income poverty in rural Kenya: an empirical analysis

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  • Steve Onyeiwu
  • Jialu Liu

Abstract

Growth and development aid have proved to be insufficient for alleviating rural poverty in Africa. Thus, efforts should be directed toward enhancing the capacities of rural households to efficiently utilise their productive assets, human capital and land in order to alleviate poverty. This paper uses socio-economic survey data and panel regressions to explore the determinants of income and poverty in rural Kenya. Results from the regression reveal that household size has a significantly large and negative effect on income. Land ownership, as well as the value of land, are both important for explaining differences in income amongst rural households in Kenya. Ownership of non-durable assets such as tools and livestock improves households' income generating ability. The results also reveal evidence of the feminisation of poverty in rural Kenya, which implies that women should be a major focus of poverty alleviation efforts in that country. Lastly, based on the surveys for this study, the level of inequality was found to be higher in rural Kenya than other developing countries.

Suggested Citation

  • Steve Onyeiwu & Jialu Liu, 2013. "Determinants of income poverty in rural Kenya: an empirical analysis," African Journal of Economic and Sustainable Development, Inderscience Enterprises Ltd, vol. 2(1), pages 53-71.
    • Handle: RePEc:ids:ajesde:v:2:y:2013:i:1:p:53-71
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    Citations

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    Cited by:

    1. Ngigi, Marther W. & Müller, Ulrike & Birner, Regina, 2015. "The role of livestock portfolios and group-based approaches for building resilience in the face of accelerating climate change: An asset-based panel data analysis from rural Kenya," Discussion Papers 210703, University of Bonn, Center for Development Research (ZEF).
    2. Nguyen, Thao Phuong, 2020. "The determinants impact on poverty reduction in Vietnam," OSF Preprints 3f9xc, Center for Open Science.
    3. Manzoor Hussain Memon, 2023. "Poverty, Gap and Severity Estimates for Disaster Prone Rural Areas of Pakistan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 645-663, April.

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