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Determinants Of Income Diversification Among Maize Farm Households In The Garu-Tempane District, Ghana

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  • DAGUNGA, Gilbert
  • SEDEM EHIAKPOR, Dennis
  • KWABENA PARRY, Isaac
  • DANSO-ABBEAM, Gideon

Abstract

This study explores the determinants of income diversification using a sample of 200 farm-level data collected from households in the Garu-Tampane district, Ghana. The Simpson Index of Diversification was used to determine the extent of income diversification while Fractional Response Model, particularly Generalized Linear Model (GLM) was employed to identify the determinants of income diversification. Results from the Simpson Index of Diversification showed that the average income diversification index was 0.65 with the minimum and maximum of 0.13 and 0.83, respectively. No farm household was found to depend solely on a single source of income for its survival. The results from the Generalized Linear Model revealed that extension services, attendance to demonstration fields, membership of Farmer-based Organizations (FBOs), farmer accessibility to credit, the number of days spent on on-farm activities per month and the number of years in maize farming significantly influence income diversification. The study, therefore, concludes that farm-level policies geared towards alternative sources of income for the rural farm household should focus on improving extension services, the formation of farmer-based organizations, use of demonstration fields as well as ensuring farmers’ accessibility to credit.

Suggested Citation

  • DAGUNGA, Gilbert & SEDEM EHIAKPOR, Dennis & KWABENA PARRY, Isaac & DANSO-ABBEAM, Gideon, 2018. "Determinants Of Income Diversification Among Maize Farm Households In The Garu-Tempane District, Ghana," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 21(1), March.
    • Handle: RePEc:ags:roaaec:281185
    DOI: 10.22004/ag.econ.281185
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    Cited by:

    1. Ehiakpor, Dennis S. & Danso-Abbeam, Gideon & Dagunga, Gilbert & Ayambila, Sylvester N., 2019. "Impact of Zai technology on farmers’ welfare: Evidence from northern Ghana," Technology in Society, Elsevier, vol. 59(C).
    2. Dagunga, Gilbert & Ayamga, Micheal & Danso-Abbeam, Gideon, 2020. "To what extent should farm households diversify? Implications on multidimensional poverty in Ghana," World Development Perspectives, Elsevier, vol. 20(C).

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