IDEAS home Printed from https://ideas.repec.org/a/epw/develo/v2y2022i5id15176.html

Opinion Leaders versus Interpersonal Forces: Analysis of the Relative Influence on Zimbabwean Farmers Input Purchase Behavior

Author

Listed:
  • Talent Nyamhamba
  • Daisy Ifeoma Odunze

Abstract

This study had the primary aim of analyzing the relative influence of opinion leaders and interpersonal forces on farmers’ input purchases. The interpersonal factors analyzed in the study include age, education, income, years of farming experience, farm size, and family/friends while the opinion sources investigated include input supplier/distributors, extension agents, other farmers, cooperative leaders, and internet search. The study also had the secondary objective of determining the most influencing interpersonal factor and the most influencing opinion source on farmers’ input purchases decision. The study employed the use of the descriptive research design and quantitative research methods in data collection and analysis. Data was collected through a survey of 100 farmers in Bulawayo Metropolitan province of Zimbabwe using the convenience sampling technique. Findings indicate that interpersonal forces have more influence on farmers’ input purchase decisions than opinion leaders. Findings also indicate that farmers’ farming experience is the most influencing interpersonal factor in this study while other farmers’ opinions are the most influencing opinion source. Other farmers’ opinions are also based on their own experience; therefore, experience is the crucial factor influencing input purchase decisions. The implications of this finding on practice are that farmers are inclined to reject new inputs they and other farmers have no experience with and it is therefore recommended that both extension agents and input suppliers develop strong partnerships with farmers to influence the adoption of new inputs.

Suggested Citation

  • Talent Nyamhamba & Daisy Ifeoma Odunze, 2022. "Opinion Leaders versus Interpersonal Forces: Analysis of the Relative Influence on Zimbabwean Farmers Input Purchase Behavior," European Journal of Development Studies, European Open Science, vol. 2(5), pages 94-102, October.
  • Handle: RePEc:epw:develo:v:2:y:2022:i:5:id:15176
    DOI: 10.24018/ejdevelop.2022.2.5.176
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejdevelop/article/view/15176
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejdevelop/article/download/15176/3412
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejdevelop.2022.2.5.176?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. Maarten Kool & Matthew T. G. Meulenberg & Douwe-Frits Broens, 1997. "Extensiveness of farmers' buying processes," Agribusiness, John Wiley & Sons, Ltd., vol. 13(3), pages 301-318.
    2. Solano, C. & Leon, H. & Perez, E. & Herrero, M., 2003. "The role of personal information sources on the decision-making process of Costa Rican dairy farmers," Agricultural Systems, Elsevier, vol. 76(1), pages 3-18, April.
    3. Charles F. Manski, 2013. "Identification of treatment response with social interactions," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 1-23, February.
    4. Niraj Kumar & Sanjeev Kapoor, 2017. "Extensiveness of farmers’ buying process of agri-inputs in India: implications for marketing," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 7(1), pages 35-51, May.
    5. Chikweche, Tendai & Fletcher, Richard, 2010. "Understanding factors that influence purchases in subsistence markets," Journal of Business Research, Elsevier, vol. 63(6), pages 643-650, June.
    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. Feeney, Roberto & Accursi, Federico & Clay, Pablo Mac, 2019. "The Impact of Producers’ Cognitive Styles on their Purchasing Behavior," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 10(05), December.
    2. Ferman Haider Haidery & Kaushik Kundu & Dev Narayan Sarkar, 2024. "Agri-input Buying Behaviour of Paddy Farmers: A Study in the Context of the New Normal Due to COVID-19," Vision, , vol. 28(1), pages 111-119, February.
    3. Linjia Yao & Gang Zhao & Changqing Yan & Amit Kumar Srivastava & Qi Tian & Ning Jin & Junjie Qu & Ling Yin & Ning Yao & Heidi Webber & Eike Luedeling & Qiang Yu, 2025. "Influence of Information Sources on Technology Adoption in Apple Production in China," Agriculture, MDPI, vol. 15(16), pages 1-25, August.
    4. Colin C. Williams, 2023. "A Modern Guide to the Informal Economy," Books, Edward Elgar Publishing, number 18668.
    5. Supriya Tiwari & Pallavi Basu, 2024. "Quasi-randomization tests for network interference: a random graph approach," Papers 2403.16673, arXiv.org, revised Jun 2026.
    6. Donald P. Green & Adam Zelizer & Winston Lin, 2021. "How Effective Are Radio Messages Aimed at Reducing Teen Births Among Latinas? A Randomized Controlled Trial," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(4), pages 695-722, August.
    7. Michael P. Leung, 2024. "Identifying Treatment and Spillover Effects Using Exposure Contrasts," Papers 2403.08183, arXiv.org, revised Aug 2026.
    8. Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2020. "Peer Effects in Networks: A Survey," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 603-629, August.
    9. Giovanni Cerulli, 2014. "ntreatreg: a Stata module for estimation of treatment effects in the presence of neighborhood interactions," United Kingdom Stata Users' Group Meetings 2014 15, Stata Users Group.
    10. Yazeed Abdul Mumin & Awudu Abdulai, 2022. "Social networks, adoption of improved variety and household welfare: evidence from Ghana," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 1-32.
    11. Giorgio Brunello & Dimitris Christelis & Anna Sanz‐de‐Galdeano & Anastasia Terskaya, 2024. "Does college selectivity reduce obesity? A partial identification approach," Health Economics, John Wiley & Sons, Ltd., vol. 33(10), pages 2306-2320, October.
    12. Aritri Chakravarty, 2024. "Use of Information by Agricultural Households in India: Determinants and Preferences," Working Papers 2024-273, Madras School of Economics,Chennai,India.
    13. Richard Zapata-Salas & José F Guarín & Leonardo A Ríos-Osorio, 2023. "Trust and reciprocity norms in the analysis of social capital related to udder health. A mixed methods approach with dairy farmers and veterinarians from the north of Antioquia," PLOS ONE, Public Library of Science, vol. 18(11), pages 1-27, November.
    14. María Isabel Palacios-Rangel & Juan Manuel Vargas-Canales & Jorge Aguilar-�vila & Joaqu�n Huitzilihuitl Camacho-Vera & Jorge Gustavo Ocampo-Ledesma & Sergio Ernesto Medina-Cuellar, 2018. "Efficiency of small enterprises of protected agriculture in the adoption of innovations in Mexico," Estudios Gerenciales, Universidad Icesi, vol. 34(146), pages 52-62.
    15. Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jun 2025.
    16. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    17. Kline, Brendan, 2015. "Identification of complete information games," Journal of Econometrics, Elsevier, vol. 189(1), pages 117-131.
    18. Akareem, Husain Salilul & Ferdous, Ahmed Shahriar & Todd, Mikala, 2021. "Impact of patient portal behavioral engagement on subsistence consumers' wellbeing," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 501-517.
    19. Aibo Gong, 2021. "Bounds for Treatment Effects in the Presence of Anticipatory Behavior," Papers 2111.06573, arXiv.org, revised Dec 2022.
    20. Hidalgo-Hidalgo, Marisa & López-Pintado, Dunia, 2026. "Partner effects and collaborative learning," Labour Economics, Elsevier, vol. 98(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:develo:v:2:y:2022:i:5:id:15176. 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejdevelop .

    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.