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Factors determining smallholder farmers’ willingness to pay for a metal silo in Zimbabwe

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  • Chuma, Teresa
  • Mudhara, Maxwell
  • Govereh, Jones

Abstract

The outbreak of devastating storage pests has rendered smallholder farmers' traditional storage practices ineffective. This study used single bound dichotomous choice contingent valuation to examine factors determining smallholder farmers' willingness to pay (WTP) for a metal silo, a new and improved storage technology in Zimbabwe. Data were collected using structured questionnaires from 249 randomly selected households in Makoni and Shamva Districts. Logit results showed that storage loss, quantity of non-food crops, equipment value, vegetable income, participation in informal activities, and household head's age and marital status significantly influenced WTP for metal silos. The amount of grain lost in storage positively influenced farmers' WTP, suggesting that current storage practices are not effective against storage losses. Income variables, except the value of equipment, showed a positive influence on WTP for a metal silo implying that increasing the household's income eases financial constraints that could impede investments in the silo technology. The study recommends the adoption of metal silos to curb storage losses and improve household food security. Diversification of agriculture and provision of credit are recommended to increase WTP for metal silos. Development agents promoting the technology should target married and young households for sustainability, without marginalising their counterparts.

Suggested Citation

  • Chuma, Teresa & Mudhara, Maxwell & Govereh, Jones, 2020. "Factors determining smallholder farmers’ willingness to pay for a metal silo in Zimbabwe," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 59(2), January.
    • Handle: RePEc:ags:agreko:347977
    DOI: 10.22004/ag.econ.347977
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    1. James Berry & Greg Fischer & Raymond Guiteras, 2020. "Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1436-1473.
    2. Emmanuel Flachaire & Guillaume Hollard, 2006. "Controlling Starting-Point Bias in Double-Bounded Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 82(1), pages 103-111.
    3. Frank Ellis & H Ade Freeman, 2004. "Rural Livelihoods and Poverty Reduction Strategies in Four African Countries," Journal of Development Studies, Taylor & Francis Journals, vol. 40(4), pages 1-30.
    4. Smale, Melinda & Byerlee, Derek & Jayne, Thom S., 2011. "Maize Revolutions in Sub-Saharan Africa," Working Papers 202592, Egerton University, Tegemeo Institute of Agricultural Policy and Development.
    5. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    6. Faye, Issa & Deininger, Klaus W., 2005. "Do new delivery systems improve extension access? Evidence from rural Uganda," 2005 Annual meeting, July 24-27, Providence, RI 19405, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    8. Lopes, Helder, 2010. "Adoption of Improved Maize and Common Bean Varieties in Mozambique," Graduate Research Master's Degree Plan B Papers 97838, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    9. Fu Gang & Zeng Ping, 2012. "The Characteristics of Farmers and Paying Willingness for Information," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 4(4), pages 163-163, February.
    10. Langat, B.K. & Ngéno, V.K. & Nyangweso, Philip M. & Mutwol, M. J. & Gohole, L. & Yaninek, S., 2013. "Drivers of Technology Adoption in a Subsistence Economy: The case of Tissue Culture Bananas in Western Kenya," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161444, African Association of Agricultural Economists (AAAE).
    11. World Bank, 2011. "Missing Food : The Case of Postharvest Grain Losses in Sub-Saharan Africa," World Bank Publications - Reports 2824, The World Bank Group.
    12. Cawley, John, 2008. "Contingent valuation analysis of willingness to pay to reduce childhood obesity," Economics & Human Biology, Elsevier, vol. 6(2), pages 281-292, July.
    13. Bokusheva, Raushan & Finger, Robert & Fischler, Martin & Berlin, Robert & Marin, Yuri & Perez, Francisco Jose & Paiz, Francisco, 2012. "Factors Determining the Adoption and Impact of a Postharvest Storage Technology," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125138, International Association of Agricultural Economists.
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    Agribusiness; International Development;

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