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Market participation and marketing channel preferences by small scale sorghum farmers in semi-arid Zimbabwe

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  • Musara, Joseph P.
  • Musemwa, Lovemore
  • Mutenje, Munyaradzi
  • Mushunje, Abbyssinia
  • Pfukwa, Charles

Abstract

A fundamental concern of agricultural development is the efficient marketing of goods and services. This paper examines the determinants of market participation and marketing channel choice decisions by small scale sorghum farmers using a case comprising 380 households from five Wards in the mid Zambezi Valley of Zimbabwe. Mixed data collection approaches including a questionnaire, observations and focus group discussions were used. Secondary data triangulated and validated farmers’ responses. A double hurdle based on probit and multinomial logit regression models was applied to the two decision making stages. Ninety six percent of the sampled farmers participated in some market as influenced by payment time, number of buyers in the market, age of principal decision maker and distance to market. Three marketing channels were isolated as local, traders and a combination. The local marketing channel dominates due to its convenience and relatively lower transaction costs. Using the local market option as the referent category, weighted average market price of sorghum, number of buyers in the market, distance to the market, dependency ratio and household income are the most robust determinants of marketing channel selection. Sorghum marketing channel options are limited for small scale farmers in Zimbabwe. Strengthening cooperative based and extension anchored marketing can reduce the risks associated with relating to external traders who usually exploit farmers for price, payment time and quality requirements. Decentralisation of the sorghum markets and promotion of value addition activities in the sorghum value chain is likely to reduce transaction costs and increase the market size.

Suggested Citation

  • Musara, Joseph P. & Musemwa, Lovemore & Mutenje, Munyaradzi & Mushunje, Abbyssinia & Pfukwa, Charles, 2018. "Market participation and marketing channel preferences by small scale sorghum farmers in semi-arid Zimbabwe," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 57(01), April.
  • Handle: RePEc:ags:agreko:347715
    DOI: 10.22004/ag.econ.347715
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    References listed on IDEAS

    as
    1. Mulubrhan Amare & Solomon Asfaw & Bekele Shiferaw, 2012. "Welfare impacts of maize–pigeonpea intensification in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 27-43, January.
    2. Bonin, Holger & Schneider, Hilmar, 2006. "Analytical prediction of transition probabilities in the conditional logit model," Economics Letters, Elsevier, vol. 90(1), pages 102-107, January.
    3. Ortmann, Gerald F., 2000. "Promoting competitiveness in South African agriculture and agribusiness: The role of institutions," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-33, March.
    4. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    5. Xavier Cirera & Channing Arndt, 2008. "Measuring the impact of road rehabilitation on spatial market efficiency in maize markets in Mozambique," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 17-28, July.
    6. Gandhi, Vasant P. & Namboodiri N V, 2002. "Fruit and Vegetable Marketing and its Efficiency in India: A Study of Wholesale Markets in the Ahmedabad," IIMA Working Papers WP2002-12-05, Indian Institute of Management Ahmedabad, Research and Publication Department.
    7. Md. Shafiul Azam & Katsushi S. Imai & Raghav Gaiha, 2012. "Agricultural Supply Response and Smallholders Market Participation – the Case of Cambodia," Discussion Paper Series DP2012-09, Research Institute for Economics & Business Administration, Kobe University.
    8. Sazuka, Naoya, 2005. "Non-linear logit models for high-frequency data analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 183-189.
    9. Mukarumbwa, P. & Mushunje, Abbyssinia, 2010. "Potential of Sorghum and Finger Millet to Enhance Household Food Security in Zimbabwe's Semi-arid Regions: A Review," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96430, African Association of Agricultural Economists (AAAE).
    10. Benjamin Crost & Bhavani Shankar & Richard Bennett & Stephen Morse, 2007. "Bias from Farmer Self-Selection in Genetically Modified Crop Productivity Estimates: Evidence from Indian Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(1), pages 24-36, February.
    11. Lazaro, Angelina & Barberan, Ramon & Rubio, Encarnacion, 2002. "The discounted utility model and social preferences:: Some alternative formulations to conventional discounting," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 317-337, June.
    12. Jayne, T.S. & Mather, David & Mghenyi, Elliot, 2010. "Principal Challenges Confronting Smallholder Agriculture in Sub-Saharan Africa," World Development, Elsevier, vol. 38(10), pages 1384-1398, October.
    13. Ortmann, Gerald F. & King, Robert P., 2007. "Agricultural cooperatives II: Can they facilitate access of small-scale farmers in South Africa to input and product markets?," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(2), pages 1-26, June.
    14. Baquedano, Felix G. & Sanders, John H. & Vitale, Jeffrey, 2010. "Increasing incomes of Malian cotton farmers: Is elimination of US subsidies the only solution?," Agricultural Systems, Elsevier, vol. 103(7), pages 418-432, September.
    15. William J. Burke & Robert J. Myers & Thomas S. Jayne, 2015. "A Triple-Hurdle Model of Production and Market Participation in Kenya's Dairy Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1227-1246.
    16. repec:bla:devpol:v:24:y:2006:i:3:p:243-277 is not listed on IDEAS
    17. Gandhi, Vasant P. & Namboodiri, N V., 2002. "Fruit and Vegetable Marketing and its Efficiency in India: A Study of Wholesale Markets in the Ahmedabad Area," 2002 ASAE 4th International Conference, August 20-22, Alor Setar, Kedah, Malaysia 294781, Asian Society of Agricultural Economists (ASAE).
    18. Vargas Hill, Ruth & Vigneri, Marcella, 2011. "Mainstreaming gender sensitivity in cash crop market supply chains," ESA Working Papers 289013, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
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