[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/ags/naaenj/267990.html
   My bibliography  Save this article

Effect of Poverty on Production Efficiency of Vegetable Farming Households in Ogun State, Nigeria

Author

Listed:
  • Sanusi, R.A.
  • Ashaolu, O.F.
  • Akogun, C.O.
  • Ayinde, A.F.O.
Abstract
In most Nigerian households, vegetables are consumed as a source of minerals and vitamins and in some case as substitutes to the more expensive animal protein. In spite of these economic potentials, in the Nigerian economy, most Vegetable Farming Households (VFH) are small scale producers. This study therefore examined the effect of resource use efficiency on poverty profile of VFHs in Ogun State, Nigeria. Data were obtained from randomly selected 160 VFH using a pre-tested questionnaire. The data were analysed by the use of Descriptive Statistics, Foster-Greer-Thobecke (FGT) index and Stochastic Frontier Analysis (SFA). Results revealed that majority (76.3%) of VFH heads were male, 74.4% had formal education, 89.4% were married and 36.9% were artisans. The average age of the VFH heads was 47 years and the mean monthly income was ₦20,200.00. FGT index estimate gave poverty incidence as 0.26 while poverty depth and severity were 0.37 and 0.009 respectively. The mean technical, allocative and economic efficiency of vegetable farming households were 62.3%, 68.9% and 43.2% respectively. SFA revealed that farm size, labour and fertilizer increased output (p<0.05) while (land) rent (p<0.05), fertilizer and agrochemical prices (p<0.01) as well as wages (p<0.01) increased costs in vegetable production. Furthermore; age, education, household size and poverty status (p<0.01) as well as farming experience, sex and household size (p<0.05) were the factors that reduced efficiency of VFHs. The implication from the findings of this study is that poverty reduction among the farming households led to reduction in farm efficiency. Therefore, apart from providing efficiency enhancing factors to farmers, stakeholders should (as a priority) implement a re-orientation programme that will make VFHs regard vegetable farming as a (business) investment in the study area.

Suggested Citation

  • Sanusi, R.A. & Ashaolu, O.F. & Akogun, C.O. & Ayinde, A.F.O., 2016. "Effect of Poverty on Production Efficiency of Vegetable Farming Households in Ogun State, Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 6(1), October.
    • Handle: RePEc:ags:naaenj:267990
    DOI: 10.22004/ag.econ.267990
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/267990/files/Volume%206%20%281%29R_Sanusi.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/267990/files/Volume%206%20%281%29R_Sanusi.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.267990?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. Ashok Parikh & Farman Ali & Mir Kalan Shah, 1995. "Measurement of Economic Efficiency in Pakistani Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 675-685.
    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. Rosen, Stacey L. & Shapouri, Shahla, 2012. "Factors Affecting Food Production Growth in Sub-Saharan Africa," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 03, pages 1-7, September.
    4. Gan, Jianbang & Kebede, Ellene, 1999. "The Economic Potential Of Vegetable Production For Limited Resource Farmers In South Central Alabama," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 17(1), pages 1-13.
    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. 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.
    13. Seyoung Chae & Almas Heshmati, 2024. "The effects of lifetime work experience on incidence and severity of elderly poverty in Korea," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 26(2), pages 521-554, August.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Brunori, Paolo & Ferreira, Francisco & Lugo, Maria Ana & Peragine, Vito, 2013. "Opportunity-sensitive poverty measurement," Policy Research Working Paper Series 6728, The World Bank.
    19. Alonso-Villar, Olga & del Río, Coral, 2010. "Local versus overall segregation measures," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 30-38, July.
    20. World Bank, 2009. "Guatemala - Poverty assessment : good performance at low levels," World Bank Publications - Reports 3063, The World Bank Group.

    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:267990. 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.