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An Analysis of Market Participation Determinants among Smallholder Goat Farmers in Gwanda District, Zimbabwe

Author

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  • Tsepeso Setoboli

    (National University of Science and Technology, Bulawayo, Zimbabwe)

  • Emmanuel Sibanda

    (National University of Science and Technology, Bulawayo, Zimbabwe)

  • Nothando Tshuma

    (National University of Science and Technology, Bulawayo, Zimbabwe)

  • Primrose Moyo

    (Lupane State University, Lupane, Zimbabwe)

Abstract

Small ruminants, such as goats, have significant income potential if marketed effectively. However, the market participation of smallholder farmers in most Sub-Saharan African countries remains very low, despite the potential benefits. In developing countries, particularly in rural communities, poverty and poor living standards are prevalent, indicating low income and limited income sources. Therefore, enhancing market participation is crucial. This study analyses the determinants of market participation among smallholder goat farmers in Gwanda District, Zimbabwe, using primary data. A multistage sampling technique was employed to select a sample of 100 smallholder goat farmers in Gwanda District, and data were collected using questionnaires. Binary logistic regression analysis was used to identify the factors influencing goat market participation. The results revealed that most smallholder farmers producing goats were market participants. Significant factors affecting market participation included gender, marital status, household size, the number of goats owned at the beginning of the year, price, marketing experience, and the number of available markets. To enhance market participation, the study recommends that rural development projects targeting smallholder farmers should consider focusing on improving the productivity of goat enterprises so as to increase goat herd sizes, advocate for lucrative supply prices of goats, train farmers on marketing to enrich their experience, as well as linking farmers to buyers both local and in the diaspora. Future research should investigate the factors affecting the frequency of marketing and the constraints faced by smallholder goat farmers in market participation.

Suggested Citation

  • Tsepeso Setoboli & Emmanuel Sibanda & Nothando Tshuma & Primrose Moyo, 2024. "An Analysis of Market Participation Determinants among Smallholder Goat Farmers in Gwanda District, Zimbabwe," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(11), pages 1003-1017, November.
  • Handle: RePEc:bcp:journl:v:8:y:2024:i:11:p:1003-1017
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    References listed on IDEAS

    as
    1. Tsepeso Setoboli & Nothando Tshuma & Emmanuel Sibanda, 2024. "Improving Agricultural Efficiency in Zimbabwe: A Labor Productivity Analysis," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3), pages 2193-2208, March.
    2. Borbala Balint & Peter Wobst, 2006. "Institutional Factors and Market Participation by Individual Farmers: The Case of Romania," Post-Communist Economies, Taylor & Francis Journals, vol. 18(1), pages 101-121.
    3. repec:ags:ijag24:346833 is not listed on IDEAS
    4. M.M. Assa & B.B. Maonga & L.D. Mapemba, 2014. "Determinants of Keeping Small Ruminants and Non-ruminant Livestock in Malawi: A Simulated Maximum Likelihood Multivariate Probit," Agrekon, Taylor & Francis Journals, vol. 53(4), pages 123-135, November.
    5. Uchezuba, I.D. & Moshabele, E. & Digopo, D., 2009. "Logistical estimation of the probability of mainstream market participation among small-scale livestock farmers: a case study of the Northern Cape province," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 48(2), pages 1-13, June.
    6. Jera, R. & Ajayi, Olu Clifford, 2008. "Logistic modelling of smallholder livestock farmers’ adoption of tree-based fodder technology in Zimbabwe," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 47(3), pages 1-14, September.
    7. Frank E. Mmbando & Edilegnaw Z. Wale & Lloyd J.S. Baiyegunhi, 2015. "Determinants of smallholder farmers' participation in maize and pigeonpea markets in Tanzania," Agrekon, Taylor & Francis Journals, vol. 54(1), pages 96-119, March.
    8. B.C. Okoye & A. Abass & B. Bachwenkizi & G. Asumugha & B. Alenkhe & R. Ranaivoson & R. Randrianarivelo & N. Rabemanantsoa & I. Ralimanana, 2016. "Effect of transaction costs on market participation among smallholder cassava farmers in Central Madagascar," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1143597-114, December.
    9. Randela, Rendani & Alemu, Zerihun Gudeta & Groenewald, Jan A., 2008. "Factors enhancing market participation by small-scale cotton farmers," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 47(4), pages 1-18, December.
    10. Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
    11. Paswel P. Marenya & Menale B. Kassie & Moti D. Jaleta & Dil B. Rahut, 2017. "Maize Market Participation among Female- and Male-Headed Households in Ethiopia," Journal of Development Studies, Taylor & Francis Journals, vol. 53(4), pages 481-494, April.
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