IDEAS home Printed from https://ideas.repec.org/a/ags/naaenj/333627.html
   My bibliography  Save this article

Effects Of Emigration On The Poverty Status Of Farming Households In Edo State, Nigeria

Author

Listed:
  • Essien, N. S.
  • Baba, K. M.
  • Ojo, M. A.
  • Coker, A. A. A.

Abstract

Emigration has become a significant issue that cannot be overlooked globally as it is germane in achieving the 2030 Sustainable Development Goal of ending poverty. This study assessed the effects of emigration on the poverty status of farming households in Edo State, Nigeria. A total of 297 farmers were selected randomly from four Local Government Areas across the state. Structured interview schedule was used to obtain primary data from the farmers. Data were analysed with descriptive statistics, Foster-Greer-Thorbecke (FGT) index and probit regression model. The poverty classification revealed that 35.23% of the farmers were poor and 64.77% were non-poor. The estimated FGT indices for poverty incidence, depth and severity were 0.3523, 0.2669 and 0.0713 respectively. Probit regression analysis showed that emigration status of the farmers at p≤0.05 level of probability had significant positive effect on their poverty status. Other covariates: remittance (p≤0.01), household size (p≤0.01), years of education (p≤0.10), farm income (p≤0.01) and off-farm income (p≤0.01) also had significant effects on the porvety status of the farming households. The study concluded that emigration possess the potential to enhance poverty alleviation among the farming households in the area. Nonetheless, poverty remains a major issue in the area that cannot be overlooked by the government.

Suggested Citation

  • Essien, N. S. & Baba, K. M. & Ojo, M. A. & Coker, A. A. A., 2021. "Effects Of Emigration On The Poverty Status Of Farming Households In Edo State, Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 11(1), October.
  • Handle: RePEc:ags:naaenj:333627
    DOI: 10.22004/ag.econ.333627
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/333627/files/Essien%20et%20al.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.333627?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. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. Mohammed, Usman & Adebayo, Cornelius & Durba, Akuniyi, 2019. "Proceedings: 3rd International Conference on Food and Agricultural Economics: EFFECT OF IMPROVED MAIZE PRODUCTION TECHNOLOGY ON THE POVERTY STATUS OF RURAL FARMERS IN KADUNA STATE, NIGERIA," 3rd International Conference on Food and Agricultural Economics, April 25-26, 2019, Alanya, Turkey 296776, International Conference on Food and Agricultural Economics.
    3. Yisa, Ezekiel & Coker, Ayodeji & Etonihu, Ifeanyi & Adewumi, Adeoluwa, 2019. "Proceedings: 3rd International Conference on Food and Agricultural Economics: EFFECTS OF CONFLICTS ON FOOD SECURITY AND POVERTY STATUS OF IRISH POTATO FARMERS IN PLATEAU STATE, NIGERIA," 3rd International Conference on Food and Agricultural Economics, April 25-26, 2019, Alanya, Turkey 296884, International Conference on Food and Agricultural Economics.
    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. Mathieu Lefebvre & Pierre Pestieau & Gregory Ponthiere, 2023. "Counting the missing poor in pre-industrial societies," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 17(1), pages 155-183, January.
    2. 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.
    3. Khanna, Neha, 2000. "Measuring environmental quality: an index of pollution," Ecological Economics, Elsevier, vol. 35(2), pages 191-202, November.
    4. 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.
    5. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    6. Nguyen, Cuong, 2003. "A Review of the Relation between Economic Growth, Inequality and Poverty," MPRA Paper 85705, University Library of Munich, Germany.
    7. Teguh Dartanto, 2010. "Volatility of World Rice Prices, Import Tariffs and Poverty in Indonesia : A CGE-Microsimulation Analysis," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 58, pages 335-364, December.
    8. Nguyen Viet Cuong, 2009. "Updating Poverty Maps without Panel Data: Evidence from Vietnam," Asian Economic Journal, East Asian Economic Association, vol. 23(4), pages 397-418, December.
    9. 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.
    10. 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.
    11. Servaas van der Berg & Ronelle Burger & Megan Louw, 2007. "Post-Apartheid South Africa: Poverty and Distribution Trends in an Era of Globalization," WIDER Working Paper Series RP2007-57, World Institute for Development Economic Research (UNU-WIDER).
    12. 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.
    13. Ametoglo, Muriel Eyram Silo & Guo, Ping, 2016. "Inequality, poverty and inclusive growth in TOGO: An Assessment of the Survey Data," MPRA Paper 79705, University Library of Munich, Germany.
    14. 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.
    15. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    16. Brunori, Paolo & Ferreira, Francisco & Lugo, Maria Ana & Peragine, Vito, 2013. "Opportunity-sensitive poverty measurement," Policy Research Working Paper Series 6728, The World Bank.
    17. Alonso-Villar, Olga & del Río, Coral, 2010. "Local versus overall segregation measures," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 30-38, July.
    18. World Bank, 2009. "Guatemala - Poverty assessment : good performance at low levels," World Bank Publications - Reports 3063, The World Bank Group.
    19. -, 1996. "Chile: incidencia e intensidad de la pobreza, 1992-1994," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 34261, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    20. 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.

    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:naaenj:333627. 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/naaeeea.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.