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Institutions, Production And Marketing Of Maize In Zimbabwe. Case Of Marondera District Of Mashonaland East Province A Two Stage Model

Author

Listed:
  • Never Mafuse

    (Department of Agricultural Economics Education and Extension, Faculty of Agriculture and Environmental Sciences, Bindura University of Science Education, PO Box 1020 Bindura Zimbabwe)

  • Mushunje Abbysinia

    (Department of Agricultural Economics and Extension, Faculty of Science and Agriculture, University of Fort Hare, Eastern Cape, South Africa)

  • Emmanuel Zivenge

    (Department of Agricultural Economics Education and Extension, Faculty of Agriculture and Environmental Sciences, Bindura University of Science Education, PO Box 1020 Bindura, Zimbabwe)

Abstract

This study evaluated the influence of institutions on production and marketing efficiency of A1 maize resettled farmers in Marondera district. Data Envelopment Analysis was used to determine the efficiency scores of farmers while Tobit model was used to determine institutional factors influencing technical efficiency for both production and marketing. A multistage sampling procedure was used to select 343 farmers from Marondera District. Results showed that, farmers are technically, allocatively and economically inefficient for both production and marketing stages. Farmers are performing better at production stage than at marketing technically while there is better allocative and economic efficiency at marketing stage. Formal maize markets are more efficient than informal markets. Results for determinants of technical efficiency at production stage showed that, cattle ownership, farming experience, access to credit and social capital significantly influence maize production efficiency while access to credit, access to market, distance to market and road condition influences marketing efficiency. It can be therefore, recommended to the government of Zimbabwe to improve the institutional environment and arrangement in terms of provision of better roads, access to credit, access to markets so as to improve both production and marketing efficiency. Farmers are also recommended to join or form famer organisations as this will assist in improving both production and marketing efficiency.

Suggested Citation

  • Never Mafuse & Mushunje Abbysinia & Emmanuel Zivenge, 2021. "Institutions, Production And Marketing Of Maize In Zimbabwe. Case Of Marondera District Of Mashonaland East Province A Two Stage Model," Food & Agribusiness Management (FABM), Zibeline International Publishing, vol. 2(2), pages 73-80, March.
  • Handle: RePEc:zib:zbfabm:v:2:y:2021:i:2:p:73-80
    DOI: 10.26480/fabm.02.2021.73.80
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    References listed on IDEAS

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    1. Aziz Karimov, 2014. "Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-16, December.
    2. Nelson Mango & Clifton Makate & Benjamin Hanyani-Mlambo & Shephard Siziba & Mark Lundy & Caroline Elliott, 2015. "A stochastic frontier analysis of technical efficiency in smallholder maize production in Zimbabwe: The post-fast-track land reform outlook," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1117189-111, December.
    3. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Lu, Hualiang, 2006. "A Two-Stage Value Chain Model for Vegetable Marketing Chain Efficiency Evaluation: A Transaction Cost Approach," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25327, International Association of Agricultural Economists.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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