IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i20p9078-d1502498.html
   My bibliography  Save this article

Understanding Crop Diversification Among Smallholder Farmers: Socioeconomic Insights from Central Malawi

Author

Listed:
  • Donald Nyamayevu

    (College of Agronomy, Hebei Agriculture University, 289 Lingyusi Street, Baoding 071051, China)

  • Isaiah Nyagumbo

    (International Maize and Wheat Improvement Center (CIMMYT), 12.5 KM Peg, Mazowe Road, Mt. Pleasant, P.O. Box MP163, Harare 00263, Zimbabwe)

  • Mazvita Chiduwa

    (International Maize and Wheat Improvement Center (CIMMYT), Chitedze Research Station, Mchinji Road, Lilongwe P.O. Box 1096, Malawi)

  • Weili Liang

    (College of Agronomy, Hebei Agriculture University, 289 Lingyusi Street, Baoding 071051, China)

  • Ruiqi Li

    (College of Agronomy, Hebei Agriculture University, 289 Lingyusi Street, Baoding 071051, China)

Abstract

In Eastern and Southern Africa (ESA), smallholder rain-fed systems are vital, yet they are challenged by land degradation, soil fertility decline, and climate risks. To address these challenges, crop diversification has been promoted as a potential pathway to enhance productivity, improve nutritional security, and offer a viable pathway out of poverty and hunger. This study explores crop diversification among 150 smallholder households in the Kasungu, Mchinji, and Lilongwe districts of Malawi, where the project Sustainable Intensification of Maize Legume Systems in East and Southern Africa (SIMLESA) has engaged the smallholder farmers in conservation agriculture (CA)-based sustainable intensification participatory research and development for seven years since 2010. This study used Simpson’s diversity index (SDI) to estimate crop diversification, and a multiple linear regression model (MLRM) to analyze how smallholder farmers’ socio-economic characteristics influence adoption. The findings show a prevalence of small farms of less than 1.5 hectares, with most farmers perceiving crop diversification as beneficial for soil fertility. Key adoption constraints include labor shortages and a lack of legume seeds. SIMLESA participants lead in crop rotations, with a 63% higher adoption rate, and show the highest crop diversity, with a 99% increase in farmers growing three crops and a 74% increase in those growing four crops compared to non-SIMLESA farmers. The SDI values were 0.39 for non-SIMLESA, 0.48 for SIMLESA neighbors, and 0.57 for SIMLESA participants. Access to NGO inputs, larger farm sizes, and participation in research programs were positively associated with diversification, while food insufficiency was negatively associated with its adoption. The study highlights the importance of integrating participatory research methods to promote development initiatives effectively.

Suggested Citation

  • Donald Nyamayevu & Isaiah Nyagumbo & Mazvita Chiduwa & Weili Liang & Ruiqi Li, 2024. "Understanding Crop Diversification Among Smallholder Farmers: Socioeconomic Insights from Central Malawi," Sustainability, MDPI, vol. 16(20), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9078-:d:1502498
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/20/9078/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/20/9078/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ganesh Thapa & Anjani Kumar & Devesh Roy & P.K. Joshi, 2018. "Impact of Crop Diversification on Rural Poverty in Nepal," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(3), pages 379-413, September.
    2. Yigezu, Yigezu Atnafe & Mugera, Amin & El-Shater, Tamer & Aw-Hassan, Aden & Piggin, Colin & Haddad, Atef & Khalil, Yaseen & Loss, Stephen, 2018. "Enhancing adoption of agricultural technologies requiring high initial investment among smallholders," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 199-206.
    3. Kondylis, Florence & Mueller, Valerie & Zhu, Jessica, 2017. "Seeing is believing? Evidence from an extension network experiment," Journal of Development Economics, Elsevier, vol. 125(C), pages 1-20.
    4. Banchayehu Tessema Assefa & Jordan Chamberlin & Pytrik Reidsma & João Vasco Silva & Martin K. Ittersum, 2020. "Correction to: Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 489-490, April.
    5. Gilbert Onionkiton Adjimoti & George Tsey-Mensah Kwadzo & Daniel Bruce Sarpong & Edward Ebo Onumah, 2017. "Input Policies and Crop Diversification: Evidence from the Collines Region in Benin," African Development Review, African Development Bank, vol. 29(3), pages 512-523, September.
    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. Leavens, Laura & Bauchet, Jonathan & Ricker-Gilbert, Jacob, 2021. "After the project is over: Measuring longer-term impacts of a food safety intervention in Senegal," World Development, Elsevier, vol. 141(C).
    2. Manda, Julius & Feleke, Shiferaw & Mutungi, Christopher & Tufa, Adane H. & Mateete, Bekunda & Abdoulaye, Tahirou & Alene, Arega D., 2024. "Assessing the speed of improved postharvest technology adoption in Tanzania: The role of social learning and agricultural extension services," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    3. Benson, Todd & Mogues, Tewodaj & Woldeyohannes, Sileshi, 2014. "Assessing progress made toward shared agricultural transformation objectives in Mozambique:," IFPRI discussion papers 1370, International Food Policy Research Institute (IFPRI).
    4. Elisabeth SADOULET, 2016. "Review of Theories of Learning for Adopting," Working Papers P163, FERDI.
    5. Fernando, A. Nilesh, 2021. "Seeking the treated: The impact of mobile extension on farmer information exchange in India," Journal of Development Economics, Elsevier, vol. 153(C).
    6. Mekonnen, Dawit K. & Dorfman, Jeffrey H., 2017. "Synergy and Learning Effects of Informal Labor-Sharing Arrangements," World Development, Elsevier, vol. 99(C), pages 1-14.
    7. Bonan, Jacopo & Battiston, Pietro & Bleck, Jaimie & LeMay-Boucher, Philippe & Pareglio, Stefano & Sarr, Bassirou & Tavoni, Massimo, 2021. "Social interaction and technology adoption: Experimental evidence from improved cookstoves in Mali," World Development, Elsevier, vol. 144(C).
    8. Beg, Sabrin & Islam, Mahnaz & Rahman, Khandker Wahedur, 2024. "Information and behavior: Evidence from fertilizer quantity recommendations in Bangladesh," Journal of Development Economics, Elsevier, vol. 166(C).
    9. Corral,Carolina & Gine,Xavier & Mahajan,Aprajit & Seira,Enrique, 2020. "Autonomy and Specificity in Agricultural Technology Adoption : Evidence from Mexico," Policy Research Working Paper Series 9367, The World Bank.
    10. Varshney, Deepak & Joshi, P. K. & Kumar, A. & Mishra, A. K. & Dubey, S. K., 2022. "Examining the transfer of knowledge and training to smallholders in India: direct and spillover effects of agricultural advisory services in an emerging economy," Papers published in Journals (Open Access), International Water Management Institute, pages 160:106067..
    11. Ku McMahan & Saad Usmani, 2022. "The Economic Benefits of Supporting Private Social Enterprise at the Nexus of Water and Agriculture: A Social Rate of Return Analysis of the Securing Water for Food Grand Challenge for Development," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    12. Ruth Hill & Carolina Mejia-Mantilla & Kathryn Vasilaky, 2021. "Is the Price Right? Returns to Input Adoption in Uganda," Working Papers 2105, California Polytechnic State University, Department of Economics.
    13. Carolina Corral & Xavier Giné & Aprajit Mahajan & Enrique Seira, 2020. "Appropriate Technology Use and Autonomy: Evidence from Mexico," NBER Working Papers 27681, National Bureau of Economic Research, Inc.
    14. Martey, Edward & Etwire, Prince M. & Adombilla, Ramson & Abebrese, Samuel O., 2023. "Information constraint and farmers’ willingness to pay for an irrigation scheduling tool," Agricultural Water Management, Elsevier, vol. 276(C).
    15. Shanshan Li & Shengyang Sun & Chao Zhang, 2024. "Internet-Based Information Acquisition, Technical Knowledge and Farmers’ Pesticide Use: Evidence from Rice Production in China," Agriculture, MDPI, vol. 14(9), pages 1-14, August.
    16. Adamashvili Nino & Fiore Mariantonietta & Contò Francesco & La Sala Piermichele, 2020. "Ecosystem for Successful Agriculture. Collaborative Approach as a Driver for Agricultural Development," European Countryside, Sciendo, vol. 12(2), pages 242-256, June.
    17. Macours, Karen & Behaghel, Luc & Gignoux, Jérémie, 2020. "Social learning in agriculture: does smallholder heterogeneity impede technology diffusion in Sub-Saharan Africa?," CEPR Discussion Papers 15220, C.E.P.R. Discussion Papers.
    18. Yigezu, Yigezu A. & Alwang, Jeffrey & Rahman, M. Wakilur & Mollah, M. Bazlur R. & El-Shater, Tamer & Aw-Hassan, Aden & Sarker, Ashutosh, 2019. "Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?," Food Policy, Elsevier, vol. 83(C), pages 48-59.
    19. Florence Kondylis & Valerie Mueller & S. Zhu, 2015. "Measuring agricultural knowledge and adoption," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 449-462, May.
    20. Giller, Ken E. & Andersson, Jens & Delaune, Thomas & Silva, João Vasco & Descheemaeker, Katrien & van de Ven, Gerrie & Schut, Antonius G.T. & van Wijk, Mark & Hammond, Jim & Hochman, Zvi & Taulya, God, 2022. "IFAD Research Series 83: The future of farming: who will produce our food?," IFAD Research Series 322005, International Fund for Agricultural Development (IFAD).

    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:16:y:2024:i:20:p:9078-:d:1502498. 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.