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Estimating Multidimensional Poverty among Cassava Producers in Nigeria: Patterns and Socioeconomic Determinants

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  • Luke Oyesola Olarinde

    (Department of Agricultural Economics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Oyo State, Nigeria)

  • Adebayo Busura Abass

    (International Institute of Tropical Agriculture (IITA), Regional Hub for Eastern Africa, Dar es Salaam PO Box 34441, Tanzania)

  • Tahirou Abdoulaye

    (International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Road 200001, Ibadan, Nigeria)

  • Adebusola Adenike Adepoju

    (Department of Agricultural Economics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Oyo State, Nigeria)

  • Emmanuel Gbenga Fanifosi

    (Department of Agricultural Economics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Oyo State, Nigeria)

  • Matthew Olufemi Adio

    (Department of Agricultural Economics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Oyo State, Nigeria)

  • Obadiah Adekunle Adeniyi

    (Department of Agricultural Economics, Ladoke Akintola University of Technology, PMB 4000, Ogbomoso 210214, Oyo State, Nigeria)

  • Awoyale Wasiu

    (International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Road 200001, Ibadan, Nigeria
    Department of Food Science & Technology, Kwara State University, Malete, Ilorin PMB 1530, Kwara State, Nigeria)

Abstract

The scourge of poverty, including its correlates, has been witnessing an incremental sequence over the years in Nigeria despite the natural endowment of the country. Efforts by various stakeholders to address this problem have not yielded tangible results. Using cross-sectional data collected in 2015 on 775 cassava farmers spread across four geographical zones, this study estimates multidimensional poverty of cassava producers in Nigeria. This is to determine the factors responsible for poverty increase and contribution(s) of these factors to poverty. The study found that about 74% of the respondents were multidimensionally poor. Assets and public/housing utility were the main contributors to aggregate multidimensional poverty index (MPI), while education and health contributed most to povertyreduction. The results also showed major contributing indicators to MPI to be formal employment, school enrolment, years of schooling, frequency of hospital visits, and household assets’ ownership. The South-eastzone of Nigeria had the highest adjusted headcount of poverty among cassava producers. The estimated coefficient of age, farming experience, years of schooling, household size, and access to informal credit were significant determinants of poverty in the study area. In conclusion, the results suggest that although Nigeria is a federation of more than 30 states that continue to rely on nation-wide policy initiatives of the central government, policies on cassava aiming to lift millions of people out of poverty should instead vary according to the peculiar poverty dimensions of each federation unit. We suggest reform in the agriculture sector that will emphasize facilitation and access to incentives (credits, training, extension, cooperate system, etc.) by younger farmers to engage in modern cassava farming, thereby, enhancing the chances of rural cassava growers to move out of poverty.

Suggested Citation

  • Luke Oyesola Olarinde & Adebayo Busura Abass & Tahirou Abdoulaye & Adebusola Adenike Adepoju & Emmanuel Gbenga Fanifosi & Matthew Olufemi Adio & Obadiah Adekunle Adeniyi & Awoyale Wasiu, 2020. "Estimating Multidimensional Poverty among Cassava Producers in Nigeria: Patterns and Socioeconomic Determinants," Sustainability, MDPI, vol. 12(13), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5366-:d:379595
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    References listed on IDEAS

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    1. John Ataguba & William M. Fonta & Hyacinth E. Ichoku, 2011. "The Determinants of Multidimensional Poverty in Nsukka, Nigeria," Working Papers PMMA 2011-13, PEP-PMMA.
    2. Joseph Deutsch & Jacques Silber, 2005. "Measuring Multidimensional Poverty: An Empirical Comparison Of Various Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(1), pages 145-174, March.
    3. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
    4. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
    5. Caroline Dewilde, 2004. "The Multidimensional Measurement of Poverty in Belgium and Britain: A Categorical Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 68(3), pages 331-369, September.
    6. Udaya S. Mishra & Vachaspati Shukla, 2015. "Welfare Comparisons with Multidimensional Well-Being Indicators: An Indian Illustration," Working Papers id:7095, eSocialSciences.
    7. Bourguignon, Francois & Fields, Gary, 1997. "Discontinuous losses from poverty, generalized P[alpha] measures, and optimal transfers to the poor," Journal of Public Economics, Elsevier, vol. 63(2), pages 155-175, January.
    8. Uma Lele & Kofi Adu‐Nyako, 1991. "Integrated Strategy Approach for Poverty Alleviation: A Paramount Priority for Africa," African Development Review, African Development Bank, vol. 3(1), pages 1-29.
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    2. Qun Wang & Lu Shu & Xiaojun Lu, 2023. "Dynamics of multidimensional poverty and its determinants among the middle-aged and older adults in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-9, December.
    3. Jude Chiedozie Okwuadimma, 2023. "The Dialectics of Socio-Economic Development in Nigeria’s South- East Region: A Dependency Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 1047-1058, March.
    4. Sanusi, Wasiu Adekunle & Fanifosi, Gbenga Emmanuel & Oladayo, Titilayo Damilola & Otunola, Olabisi Benedicta & Ijila, Olusegun Jeremiah, 2021. "Comparative Analysis of Fadama III Beneficiaries and None-Beneficiaries’ Poverty Status: A Foster, Greer, And Thorbecke Decomposition Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 9(4), October.

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