[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/ags/ijfaec/316275.html
   My bibliography  Save this article

Comparative Analysis of Fadama III Beneficiaries and None-Beneficiaries’ Poverty Status: A Foster, Greer, And Thorbecke Decomposition Approach

Author

Listed:
  • Sanusi, Wasiu Adekunle
  • Fanifosi, Gbenga Emmanuel
  • Oladayo, Titilayo Damilola
  • Otunola, Olabisi Benedicta
  • Ijila, Olusegun Jeremiah
Abstract
The third National Fadama Development Scheme, which is a World Bank aided project was launched in Nigeria to reduce poverty, lessen food insecurity, and increase agricultural productivity. However, while many believed the project has been effective in addressing the challenges faced by rural households, some think the opposite due to the poor economic state of the farmers. Hence, this research investigates the poverty situation of the Fadama III beneficiaries and non-beneficiaries in Kwara State, Nigeria, in the realization of the Sustainable Development Goals (SDGs) 1 and 2. The study randomly selects 120 Fadama III beneficiaries and 116 non-beneficiaries using a multistage sampling procedure. Data collected were analyzed using descriptive statistics, Foster, Greer, and Thorbecke (FGT) poverty measure and logit regression model. The findings show that poverty was more pronounced amongst non-beneficiaries of the scheme compared to the beneficiaries, indicating that the program has a considerable effect on the livelihood of the beneficiaries. Sex of the household head, household size, farm size, off-farm income, and access to extension contact are significant variables influencing poverty amongst the beneficiaries. Thus, the study encourages an increase in the number of participants of the program (Fadama III) for improved wellbeing

Suggested Citation

  • 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.
  • Handle: RePEc:ags:ijfaec:316275
    DOI: 10.22004/ag.econ.316275
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/316275/files/vol9.no4.pp309.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.316275?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Oni, Omobowale A. & Olaniran, Olawale T., 2008. "An Analysis of Poverty Status of Fadama II and Non Fadama II Beneficiaries in Rural Oyo State, Nigeria," Journal of Rural Economics and Development, University of Ibadan, Department of Agricultural Economics, vol. 17, pages 1-17.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Chani, Muhammad Irfan & Pervaiz, Zahid & Jan, Sajjad Ahmad & Ali, Amjad & Chaudhary, Amatul R., 2011. "Poverty, inflation and economic growth: empirical evidence from Pakistan," MPRA Paper 34290, University Library of Munich, Germany, revised 2011.
    4. 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.
    5. Gustavo Anríquez & Kostas Stamoulis, 2007. "Rural development and poverty reduction: is agriculture still the key?," The Electronic Journal of Agricultural and Development Economics, Food and Agriculture Organization of the United Nations, vol. 4(1), pages 5-46.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorge Mora‐Rivera & Isael Fierros‐González & Fernando García‐Mora, 2024. "Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region," Development Policy Review, Overseas Development Institute, vol. 42(1), January.
    2. Zaman, Khalid & Khilji, Bashir Ahmad, 2013. "The relationship between growth–inequality–poverty triangle and pro-poor growth policies in Pakistan: The twin disappointments," Economic Modelling, Elsevier, vol. 30(C), pages 375-393.
    3. Shijiang Chen & Mingyue Liang & Wen Yang, 2022. "Does Digital Financial Inclusion Reduce China’s Rural Household Vulnerability to Poverty: An Empirical Analysis From the Perspective of Household Entrepreneurship," SAGE Open, , vol. 12(2), pages 21582440221, June.
    4. Khanna, Neha, 2000. "Measuring environmental quality: an index of pollution," Ecological Economics, Elsevier, vol. 35(2), pages 191-202, November.
    5. Do, Manh Hung & Nguyen, Trung Thanh & Grote, Ulrike, 2023. "Land consolidation, rice production, and agricultural transformation: Evidence from household panel data for Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 157-173.
    6. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    7. Davidson, Russell & Flachaire, Emmanuel, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Journal of Econometrics, Elsevier, vol. 141(1), pages 141-166, November.
    8. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.
    9. Xuming He & Heng Xi & Xianbo Li, 2024. "Multi-Dimensional Decomposition, Measurement, and Governance Mechanism of Relative Poverty in Chinese Households under the Goal of Common Prosperity: Empirical Analysis Based on CFPS2020 Data," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    10. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    11. Alejandro Lopez-Feldman, 2013. "Climate change, agriculture, and poverty: A household level analysis for rural Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1126-1139.
    12. Alonso-Villar, Olga & del Río, Coral, 2010. "Local versus overall segregation measures," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 30-38, July.
    13. Augustin Kwasi Fosu, 2009. "Inequality and the Impact of Growth on Poverty: Comparative Evidence for Sub-Saharan Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 45(5), pages 726-745.
    14. Oihana Aristondo & Casilda Lasso De La Vega & Ana Urrutia, 2010. "A New Multiplicative Decomposition For The Foster–Greer–Thorbecke Poverty Indices," Bulletin of Economic Research, Wiley Blackwell, vol. 62(3), pages 259-267, July.
    15. Tomáš Želinský & Martina Mysíková & Thesia I. Garner, 2022. "Trends in Subjective Income Poverty Rates in the European Union," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(5), pages 2493-2516, October.
    16. Khan, Haider A., 1999. "Sectoral Growth and Poverty Alleviation: A Multiplier Decomposition Technique Applied to South Africa," World Development, Elsevier, vol. 27(3), pages 521-530, March.
    17. Tomoki Fujii, 2013. "Geographic decomposition of inequality in health and wealth: evidence from Cambodia," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 11(3), pages 373-392, September.
    18. Bruno, Michael & Ravallion, Martin & Squire, Lyn, 1996. "Equity and growth in developing countries : old and new perspectives on the policy issues," Policy Research Working Paper Series 1563, The World Bank.
    19. Eirini Andriopoulou & Eleni Kanavitsa & Panos Tsakloglou, 2019. "Decomposing Poverty in Hard Times: Greece 2007-2016," Revue d’économie du développement, De Boeck Université, vol. 27(2), pages 125-168.
    20. Bjorn A Gustafsson & Deng Quheng, 2011. "Di Bao Receipt and Its Importance for Combating Poverty in Urban China," Poverty & Public Policy, John Wiley & Sons, vol. 3(1), pages 1-32, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ijfaec:316275. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iiaaktr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.