IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7795-d593077.html
   My bibliography  Save this article

Youth Participation in Agriculture and Poverty Reduction in Nigeria

Author

Listed:
  • Romanus Osabohien

    (Department of Economics and Development Studies, Covenant University, Ota 112212, Nigeria)

  • Alexander Nimo Wiredu

    (Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Nampula 258, Mozambique)

  • Paul Matin Dontsop Nguezet

    (Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Kalemie 570, Democratic Republic of the Congo)

  • Djana Babatima Mignouna

    (International Institute of Tropical Agriculture (IITA), Cotonou 08 BP 0932, Benin)

  • Tahirou Abdoulaye

    (Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Bamako 91094, Mali)

  • Victor Manyong

    (Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Dar es Salam 34441, Tanzania)

  • Zoumana Bamba

    (Country Representative, International Institute of Tropical Agriculture (IITA), Kinshasa 4163, Democratic Republic of the Congo)

  • Bola Amoke Awotide

    (Social Science and Agribusiness, International Institute of Tropical Agriculture (IITA), Bamako 91094, Mali)

Abstract

With data from 683 systematically selected households, the study employed the Heckman two-stage model and the propensity score matching method (PSM) to examine the impact of youth participation in agriculture as a primary occupation on income and poverty in Nigeria. The results indicate that the gender of the youth and their determination to stay in agriculture significantly increases the probability that youth will participate in agriculture as a primary occupation. In addition, youth participation in agriculture as a main occupation contributes significantly to per capita household income and has the likelihood to reduce poverty by 17%. The daily wage rate of hired labor and the total farmland owned are the variables that positively explained the per capita income. Poverty was reduced by market access, having agriculture as a primary occupation, income from agricultural production, the total monetary value of all the household assets, determination to remain in agriculture, and the square of the respondents’ age. These results imply that creating employment for youth by engaging them in agriculture as a full-time occupation can increase their income and reduce poverty. However, the promotion of other secondary occupations, land, and market access is also vital.

Suggested Citation

  • Romanus Osabohien & Alexander Nimo Wiredu & Paul Matin Dontsop Nguezet & Djana Babatima Mignouna & Tahirou Abdoulaye & Victor Manyong & Zoumana Bamba & Bola Amoke Awotide, 2021. "Youth Participation in Agriculture and Poverty Reduction in Nigeria," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7795-:d:593077
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7795/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/7795/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Bellows, John & Miguel, Edward, 2009. "War and local collective action in Sierra Leone," Journal of Public Economics, Elsevier, vol. 93(11-12), pages 1144-1157, December.
    3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    4. Tekalign Gutu Sakketa & Nicolas Gerber, 2020. "Rural Shadow Wages and Youth Agricultural Labor Supply in Ethiopia: Evidence from Farm Panel Data," Research in Labor Economics, in: Change at Home, in the Labor Market, and On the Job, volume 48, pages 61-105, Emerald Group Publishing Limited.
    5. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    6. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    7. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    8. James E. Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster-Greer-Thorbecke (FGT) Poverty Measures: Twenty-Five Years Later," Working Papers 2010-14, The George Washington University, Institute for International Economic Policy.
    9. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    10. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    11. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    12. Daniel Friedlander & David H. Greenberg & Philip K. Robins, 1997. "Evaluating Government Training Programs for the Economically Disadvantaged," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 1809-1855, December.
    13. Wasiu Olayinka Fawole & Burhan Ozkan, 2019. "Examining the willingness of youths to participate in agriculture to halt the rising rate of unemployment in South Western Nigeria," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(3), pages 578-590, August.
    14. Bassi, Laurie J, 1984. "Estimating the Effect of Training Programs with Non-Random Selection," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 36-43, February.
    15. Kathleen Beegle & Luc Christiaensen & Andrew Dabalen & Isis Gaddis, 2016. "Poverty in a Rising Africa," World Bank Publications - Books, The World Bank Group, number 22575.
    16. Rodolfo Hoffmann & Ana Lucia Kassouf, 2005. "Deriving conditional and unconditional marginal effects in log earnings equations estimated by Heckman's procedure," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1303-1311.
    17. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    18. Mastewal Yami & Shiferaw Feleke & Tahirou Abdoulaye & Arega D. Alene & Zoumana Bamba & Victor Manyong, 2019. "African Rural Youth Engagement in Agribusiness: Achievements, Limitations, and Lessons," Sustainability, MDPI, vol. 11(1), pages 1-15, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lateef Olalekan Bello & Lloyd J. S. Baiyegunhi & Gideon Danso-Abbeam & Adebayo Isaiah Ogunniyi & Kehinde Olagunju & Tahirou Abdoulaye & Victor Manyong & Zoumana Bamba & Bola Amoke Awotide, 2022. "Assessing the Impact of Youth-in-Agribusiness Program on Poverty and Vulnerability to Poverty in Nigeria," Agriculture, MDPI, vol. 12(5), pages 1-14, May.
    2. Edamisan Stephen Ikuemonisan & Igbekele Amos Ajibefun, 2021. "Economic Implications of Smallholders’ Collaborative Groupings on Household Income and Adaptability to Climate Change in Nigeria," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    3. Kadoukpè Gildas Magbondé & Djana Mignouna & Victor Manyong & Razack Adéoti & Ayélé Odile Sossou, 2023. "Impact of informal institutions on youth agribusiness participation in Southern Benin," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-26, December.
    4. Yuanying Chi & Wenbing Zhou & Zhenyu Wang & Yu Hu & Xiao Han, 2021. "The Influence Paths of Agricultural Mechanization on Green Agricultural Development," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    5. Guy Simbeko & Paul-Martin Dontsop Nguezet & Haruna Sekabira & Mastewal Yami & Serge Amato Masirika & Krishan Bheenick & Deogratias Bugandwa & Dieu-Merci Akonkwa Nyamuhirwa & Jacob Mignouna & Zoumana B, 2023. "Entrepreneurial Potential and Agribusiness Desirability among Youths in South Kivu, Democratic Republic of the Congo," Sustainability, MDPI, vol. 15(1), pages 1-22, January.

    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. Bola Awotide & Arega Alene & Tahirou Abdoulaye & Victor Manyong, 2015. "Impact of agricultural technology adoption on asset ownership: the case of improved cassava varieties in Nigeria," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(6), pages 1239-1258, December.
    2. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    3. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    4. Backson Mwangi & Ibrahim Macharia & Eric Bett, 2021. "Ex-post Impact Evaluation of Improved Sorghum Varieties on Poverty Reduction in Kenya: A Counterfactual Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 447-467, April.
    5. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    6. Espinoza-Delgado, José & Klasen, Stephan, 2018. "Gender and multidimensional poverty in Nicaragua: An individual based approach," World Development, Elsevier, vol. 110(C), pages 466-491.
    7. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    8. Zsolt Darvas, 2019. "Why is it So Hard to Reach the EU’s Poverty Target?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1081-1105, February.
    9. Anders Herlitz & David Horan, 2017. "A Model and Indicator of Aggregate Need Satisfaction for Capped Objectives and Weighting Schemes for Situations of Scarcity," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 413-430, September.
    10. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'souza, Alwin, 2016. "Impact of contracts in high yielding varieties seed production on profits and yield: The case of Nepal," Food Policy, Elsevier, vol. 62(C), pages 110-121.
    11. Dehejia, Rajeev, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series 011, World Institute for Development Economic Research (UNU-WIDER).
    12. Alkire, Sabina & Oldiges, Christian & Kanagaratnam, Usha, 2021. "Examining multidimensional poverty reduction in India 2005/6–2015/16: Insights and oversights of the headcount ratio," World Development, Elsevier, vol. 142(C).
    13. Malokele Nanivazo, 2015. "First Order Dominance Analysis: Child Wellbeing in the Democratic Republic of Congo," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(1), pages 235-255, May.
    14. Lønborg, Jonas Helth & Rasmussen, Ole Dahl, 2014. "Can Microfinance Reach the Poorest: Evidence from a Community-Managed Microfinance Intervention," World Development, Elsevier, vol. 64(C), pages 460-472.
    15. Pham Bao Duong & Pham Tien Thanh & Tihomir Ancev, 2021. "Impacts of off‐farm employment on welfare, food security and poverty: Evidence from rural Vietnam," International Journal of Social Welfare, John Wiley & Sons, vol. 30(1), pages 84-96, January.
    16. Edward Martey & Prince M. Etwire & Isaac Koomson, 2022. "Parental Time Poverty, Child Work and School Attendance in Ghana," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(4), pages 1489-1515, August.
    17. Dipesh Gangopadhyay & Robert B. Nielsen & Velma Zahirovic-Herbert, 2021. "Methodology and Axiomatic Characterization of a Multidimensional and Fuzzy Measure of Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 1-37, January.
    18. Coral Río & Olga Alonso-Villar, 2018. "Segregation and Social Welfare: A Methodological Proposal with an Application to the U.S," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 257-280, May.
    19. Madhav Prasad Dahal, 2017. "Do Female Education and Ownership of Asset Matter for Poverty Reduction in Nepal?," Journal of Development Innovations, KarmaQuest International, vol. 1(2), pages 58-85, October.
    20. Anders Bredahl Kock & David Preinerstorfer & Bezirgen Veliyev, 2022. "Functional Sequential Treatment Allocation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1311-1323, September.

    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:gam:jsusta:v:13:y:2021:i:14:p:7795-:d:593077. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.