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

References

• Abu, G.A., T.E. Tangahar, and I.D. Ekpebu. 2011. Proximate determinants of farmers WTP (willingness to pay) for soil management information service in Benue State, Nigeria. African Journal of Agricultural Research 6, no. 17: 4057–64.
   Google Scholar
• Adejumo, O.A., E.A. Ojoko, and S.A. Yusuf. 2014. Factors influencing choice of pesticides used by grain farmers in Southwest Nigeria. Journal of Biology, Agriculture and Healthcare 4, no. 28: 2224–3208.
   Google Scholar
• Ahmed, S.U., and K. Gotoh. 2006. The choice of elicitation methods in CVM and their impact on willingness to pay in environmental assessment.
   Google Scholar
• Alejandro, L.F. 2012. Introduction to contingent valuation using stata. MPRA Paper No.41018. http://mpra.ub.uni-muenchende/410181/.
   Google Scholar
• Ali, E.B., J.A. Awuni, and G.D. Abbeam. 2018. Determinants of fertilizer adoption among smallholder cocoa farmers in the Western Region of Ghana. Cogent Food and Agriculture 4 (1), 1538589. doi: 10.1080/23311932.2018.1538589
   Web of Science ®Google Scholar
• Anseeuw, W., T. Kapuya, and D. Saruchera. 2012. Zimbabwe’s agricultural reconstruction: Present state, ongoing projects and prospects for reinvestment. Trans. D.P. Division. Pretoria, South Africa: Development Bank of Southern Africa and Agence Francaise de Developpement, 165.
   Google Scholar
• Arrow, K., R. Solow, P.R. Portney, E.E. Leamer, R. Radner, and H. Schuman. 1993. Report of the NOAA panel on contingent valuation. Technical Report 58, no. 10: 1601–14.
   Google Scholar
• Aryal, K.P., P. Chaudhary, S. Pandit, and G. Sharma. 2009. Consumers’ willingness to pay for organic products: A case from Kathmandu Valley. Journal of Agriculture and Environment 10: 15–26. doi: 10.3126/aej.v10i0.2126
   Google Scholar
• Asrat, P., K. Belay, and D. Hamito. 2004. Determinants of farmers’ willingness to pay for soil conservation practices in the South Eastern Highlands of Ethiopia. Land Degradation and Development 15: 423–38. doi: 10.1002/ldr.623
   Web of Science ®Google Scholar
• Bern, J.C., A. Yakubu, T.J. Brumm, and K.A. Rosentrater. 2013. Hermetic storage systems for maize stored on subsistence farms. Agricultural and Biosystems Engineering Conference Proceedings and Presentations.
   Google Scholar
• Berry, J., G. Fischer, and R.P. Guiteras. 2015. Eliciting and utilizing willingness to pay: Evidence from field trials in Northern Ghana. CEPR Discussion Paper No. DP10703. Available at SSRN. http://ssrn.com/abstract=2630151.
   Google Scholar
• Bokusheva, R., R. Finger, M. Fischler, R. Berlin, Y. Marin, F. Perez, and F. Paiz. 2012. Factors determining the adoption and impact of a postharvest storage technology. Selected Paper prepared for presentation at the International Association of agricultural economists (IAAE) Triennal Conference, Foz do Iguacu, Brazi 18–24 August 2012.
   Google Scholar
• Bravo, J. 2009. Metal silos and food security. Lessons learned from a successful Central American Post-Harvest Program, 270.
   Google Scholar
• Cameron, T., and J. Quiggin. 1994. Estimation using contingent valuation data from a dichotomous choice with follow-up questionnaire. Journal of Environmental Economics and Management 27: 218–34. doi: 10.1006/jeem.1994.1035
   Web of Science ®Google Scholar
• Cawley, J. 2008. Contingent valuation analysis of willingness to pay to reduce childhood obesity. Economics and Human Biology 6, no. 2: 281–92. doi: 10.1016/j.ehb.2008.05.003
   PubMed Web of Science ®Google Scholar
• Champ, P.A., K.J. Boyle, and T.C. Brown. 2003. A primer on nonmarket valuation. The economics of non-market goods and resources, ed. I.J. Bateman. Dordrecht: Kluwer Academic Publishers.
   Google Scholar
• Chikobvu, S., B. Chiputwa, R. Langyintuo, R. La Rovere, and W. Mwangi. 2010. Characterization of maize producing households in Masvingo and Bikita districts in Zimbabwe. Country Report-Zimbabwe. Nairobi: CIMMYT.
   Google Scholar
• CIMMYT. 2011. Effective grain storage for better livelihoods of African farmers project completion report June 2008 to February 2011. CIMMYT.
   Google Scholar
• CIMMYT. 2012. Effective grain storage for sustainable livelihoods of African farmers (2012–2016). CIMMYT.
   Google Scholar
• Cugala, D., A. Siduna, L. Santos, B. Mariquele, V. Cumba, and M. Buhla. 2007. Assessment of status, distribution and weight lost due to Prostephanus (Horn) (Coleoptera: Bostrichidae) in Mozambique. African Crop Science Conference Proceedings 8: 975–9.
   Google Scholar
• Diiro, G. 2013. Impact of off-farm income on technology adoption intensity and productivity: Evidence from rural Maize farmers in Uganda. International Food Policy Research Institute, Working Paper 11.
   Google Scholar
• Ellis, F., and H.A. Freeman. 2004. Rural livelihoods and poverty reduction strategies in four African countries. Journal of Development Studies 40, no. 4: 1–30. doi: 10.1080/00220380410001673175
   Web of Science ®Google Scholar
• Endrias, G. 2003. Adoption of improved sweet potato varieties in Boloso Sore Woreda, Southern Ethiopia. M.S.C. Thesis, Presented to School of Graduate Studies of Alemaya University, Ethiopia, 92.
   Google Scholar
• Faye, I., and K. Deininger. 2005. Do new delivery systems improve extension access? Evidence from Rural Uganda. Paper presented at the American Agricultural Economics Association Annual Meeting, July 24–27, Providence, RI, US.
   Google Scholar
• Flachaire, E., and G. Hollard. 2005. Controlling starting-point bias in double-bounded contingent valuation surveys. Working Paper. University of Paris.
   Google Scholar
• Food and Agriculture Organisation. 2011. Post-harvest management. Moving forward: Agriculture’s role in the transition to development. Zimbabwe. http://www.fao.org/fileadmin/user_upload/emergencies/docs/Africa-Zim_crop.pdf (accessed November 27, 2017).
   Google Scholar
• Gadzirayi, C.T., E. Mutandwa, and T.J. Chikuvire. 2006. Effectiveness of maize cob powder in controlling weevils in stored maize grain. African Studies Quarterly 8, no. 4:1.
   Google Scholar
• Gang, F., and Z. Ping. 2012. The characteristics of farmers and paying willingness for information. Empirical study based on 120 farmers in Qingbaijiang District, Sichuan. Journal of Agricultural Science 4, no. 4: 163. doi: 10.5539/jas.v4n4p163
   Google Scholar
• Gitonga, Z.M., H. de Groote, M. Kassie, and T. Tefera. 2013. Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching. Food Policy 43: 44–55. doi: 10.1016/j.foodpol.2013.08.005
   Web of Science ®Google Scholar
• Gonfa, L. 2015. Farmers’ willingness to pay for improved forage seed in LIVES districts of West Shewa Zone Ethiopia. A Thesis submitted to College of Agriculture and Environmental Sciences, the School of Agricultural Economics and Agribusiness, School of Graduate Studies. Haramaya University.
   Google Scholar
• Greene, W.H. 2011. Econometric analysis. Seventh edition. New Jersey: Prentice-Hall.
   Google Scholar
• Gujarati, D.N. 2008. Basic econometrics. 5th ed. New York: McGraw Hill/Irwin.
   Google Scholar
• Haab, C., and K. McConnel. 2002. Valuing environmental and natural resource. The econometrics of non-market valuation. Northampton: Endard Elgar Publishing.
   Google Scholar
• Hanemann, M., J. Loomis, and B. Kanninen. 1991. Statistical efficiency of double–bound dichotomous choice contingent valuation. American Journal of Agricultural Economics 73: 1255–63. doi: 10.2307/1242453
   Web of Science ®Google Scholar
• Hodges, R.J. 2012. Postharvest weight losses of cereal grains in Sub- Saharan Africa. Kent, UK: APHLIS.
   Google Scholar
• Holden, S.T., and B. Shiferaw. 2002. Poverty and land degradation: Peasants’ Willingness to pay to Sustain Land productivity. In The adoption of natural resource management practices: Improving sustainable agricultural production in Sub-Saharan Africa.
   Google Scholar
• Horna, J.D., M. Smale, and M.V. Oppen. 2005. Farmers’ willingness to pay for seed related information: Rice varieties in Nigeria and Benin. Environment and production technology division discussion Paper 142. Washington, DC: International Food Policy Research Institute.
   Google Scholar
• Hosmer, D.W., and S. Lemeshow. 1989. Applied logistic regression.
   Google Scholar
• Hossard, L., A. Philibert, M. Bertrand, C. Colnenne-David, P. Debaeke, N. Munier-Jolain, and D. Makowski. 2014. Effects of halving pesticide use on wheat production. Scientific reports, 4.
   Google Scholar
• Jones, M., C. Alexander, and J. Lowenberg. 2014. A simple methodology for measuring profitability of on-farm storage pest management in developing countries. Journal of Stored Products 58: 67–76. doi: 10.1016/j.jspr.2013.12.006
   Web of Science ®Google Scholar
• Kapuya, T., D. Saruchera, A. Jongwe, T. Mucheri, K. Mujeyi, N.T. Tramb, and F. Meyer. 2011. The grain industry value Chain in Zimbabwe. Prepared for the Food and Agricultural Organisation of the United Nations.
   Google Scholar
• Kassie, G.T., A. Abdulai, W.H. Greene, B. Shiferaw, T. Abate A. Tarekegne, and C. Sutcliffe. (2017). Modelling Preference and Willingness to Pay for Drought Tolerance (DT) in Maize in Rural Zimbabwe. World Development 94, 465–477.
   Google Scholar
• Kong, F., K. Xiong, and N. Zhang. 2014. Determinants of farmers’ WTP and its level for ecological compensation of Poyang Lake Wetland, China: A household-level survey. Sustainability 6: 6714–88. doi: 10.3390/su6106714
   Web of Science ®Google Scholar
• Langat, B.K., V.K. Ngeno, P.M. Nyangweso, M.J. Mutwol, M.J. Kipsat, L. Gohole, and S. Yaninek. 2013. Drivers of technology adoption in a subsistence economy: The case of Tissue Culture Bananas in Western Kenya. Invited paper presented at the 4th International Conference of the African Association of agricultural economists, September 22–25, Hammamet, Tunisia.
   Google Scholar
• Liebe, U., P. Preisendörfer, and J. Meyerhoff. 2011. To pay or not to pay: Competing theories to explain individuals’ willingness to pay for public environmental goods. Environment and Behavior 43, no. 1: 106–30. doi: 10.1177/0013916509346229
   Web of Science ®Google Scholar
• Lopes, H. 2010. Adoption of Improved Maize and Common Bean Varieties in Mozambique. http://aec.msu.edu/fs2/mozambique/Lopes.Helder_M.Sc.Thesis_2010_12_04.pdf.
   Google Scholar
• Makate, C., R. Wang, M. Makate, and N. Mango. 2016. Crop diversification and livelihoods of smallholder farmers in Zimbabwe: Adaptive management for environmental change. SpringerPlus 5: 1135. doi: 10.1186/s40064-016-2802-4
   PubMedGoogle Scholar
• Maonga, B.B., M.A. Maganga, and E.M.K. Haraman. 2013. Adoption of small metallic grain silos in Malawi: A farm level cross-sectional study. International Journal of Development and Sustainability 2(2):1534–1548.
   Google Scholar
• McConaghy, J.B. 2007. Economic Impact and value of the Robert M.Kerr Food and Agricultural Products Center. Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE. UMI 1449849.
   Google Scholar
• Methenge, M., F. Place, J. Olwande, and D. Mithoefer. 2010. Participation in Agricultural Markets among the Poor and Marginalized: Analysis of Factors Influencing Participation and Impacts on Income and Poverty in Kenya. A study Report, Tegemeo Institute of Agricultural Policy and Development and World Agroforestry Centre.
   Google Scholar
• Mhiko, T.A., A. Chawafambira, and T. Shokora. 2014. Efficacy of traditional and improved granaries in protecting maize from prostephanus truncates in smallholder farming storage System in Makonde District, Zimbabwe. World Journal of Agricultural Research 2: 2.
   Google Scholar
• Midi, H., S.K. Sarkar, and S. Rana. 2010. Collinearity diagnostics of binary logistic regression model. Journal of Interdisciplinary Mathematics 13, no. 3: 253–67. doi: 10.1080/09720502.2010.10700699
   Google Scholar
• Mignouna, B., M. Manyong, J. Rusike, S. Mutabazi, and M. Senkondo. 2011. Determinants of adopting Imazapyr-Resistant maize for Striga control in Western Kenya: A double-hurdle approach. Journal of Development and Agricultural Economics 3, no. 11: 572–80.
   Google Scholar
• Mitchell, R.C., and R.T. Carson. 1989. Using surveys to value public goods. Washington, DC: Resources for the Future.
   Google Scholar
• Mulugeta, A. 2009. Determinants of Intensity of adoption of Old Coffee Stumping technology in Dale Woreda, SNNPRS, Ethiopia. MSc. Thesis, Haramaya University.
   Google Scholar
• Muzemu, S., J. Chitamba, and B. Mutetwa. 2013. Evaluation of eucalyptus tereticornis, Tagetes Minuta and Carica papaya as stored maize grain protectants against Sitophiluszeamais (Motsch) (Coleoptera: Curculionidae). Agriculture, Forestry and Fisheries 2, no. 5: 196–201. doi: 10.11648/j.aff.20130205.13
   Google Scholar
• Mvumi, B.M., T. Chigoverah, T. Koza, J. Govereh, T. Chuma, F. Dzvurumi, D. Mfote, and T. Tefera. 2013. Introduction, testing and dissemination of grain storage technologies for smallholder farmers in Zimbabwe: A partnership approach. African Crop Science Conference Proceedings 11: 585–91.
   Google Scholar
• Nyagwaya, L.D.M., B.M. Mvumi, and I.G.M. Saunyama. 2010. Occurrence and distribution of Prostephanus truncates (Horn) (Coleoptera: Bostrichidae). International Journal of Tropical Insect Science 30, no. 4: 221–31. doi: 10.1017/S1742758410000342
   Google Scholar
• Oladele, O.I. 2008. Willingness to pay for agricultural extension services in Oyo state. AgriculturaTropica EtSubtropica 41, no. 4: 1–43.
   Google Scholar
• Parwada, C., C. Gadzirayi, C. Karavina, F. Kabiku, R. Mandumbu, and B.Z. Mandumbu. 2012. Tagetes Minuta formulation effect Sithophilus Zeamais (weevils) control in stored maize grain. International Journal of Plant Research 2, no. 3: 65–8. doi: 10.5923/j.plant.20120203.04
   Google Scholar
• Rawlings, J.O., S.G. Pantula, and D.A. Dickey. 1998. Applied regression analysis. A research tool. 2nd ed. New York, US: Springer-Verlay New York, Inc.
   Google Scholar
• Rugumamu, C.P., M.H.S. Muruke, M.K. Hosea, and F.A.R. Ismail. 2011. Advances in insect pest management technologies of agricultural crops: An integrated approach. Proceedings of the international conference on agro-biotechnology, biosafety and seed systems in developing countries, 55–61.
   Google Scholar
• Segun, F.B., O.A. Olubunmi, and A.T. Zainab. 2014. An economic survey of cowpea (vigna unguiculatu) storage practices in Kwara State, Nigeria. Bangladesh Journal of Agricultural Research 39, no. 1: 47–57. doi: 10.3329/bjar.v39i1.20079
   Google Scholar
• Smale, M., D. Byerlee, and T. Jayne. 2011. Maize revolutions in Sub-Saharan Africa. The World Bank. Policy Research Working Paper 5659.
   Google Scholar
• Stathers, T.E., W. Riwa, B.M. Mvumi, R. Mosha, L. Kitandu, K. Mngara, B. Kaoneka, and M. Morris. 2008. Do diatomaceous earths have potential as grain protectants for smallholder farmers in Sub-Saharan Africa? The case of Tanzania. Crop Protection 27: 44–70. doi: 10.1016/j.cropro.2007.04.020
   Web of Science ®Google Scholar
• Sulo, T., P. Koech, C. Chumo, and W. Chepng’eko. 2012. Socioeconomic factors affecting the adoption of improved agricultural technologies among women in Marakwet County Kenya. Journal of Emerging Trends in Economic and Management Sciences (JETEMS) 3, no. 4: 312–7.
   Google Scholar
• Tefera, T. 2012. Post-harvest losses in African maize in the face of increasing food shortage. Food Security 4: 267–77. doi: 10.1007/s12571-012-0182-3
   Web of Science ®Google Scholar
• Tefera, T., F. Kampiu, H. de Groote, J. Hellin, S. Mugo, S. Kimenju, Y. Beyene, P.M. Bondupall, B. Shiferaw, and M. Banziger. 2011. The metal silo: An effective grain storage technology for reducing post-harvest insect and pathogen losses in maize while improving smallholder farmers’ food security in developing countries. Crop Protection 30, no. 2: 240–5. doi: 10.1016/j.cropro.2010.11.015
   Web of Science ®Google Scholar
• Tolera, T., D. Temesgen, and D.S. Rajan. 2014. Factors affecting farmers’ willingness to pay for agricultural extension services: The case of Haramaya istrict, Ethiopia. International Journal of Agricultural Science Research 3, no. 2: 268–77.
   Google Scholar
• Udima, T.B., Z. Jincai, O.S. Mensah, and A.E. Caesar. 2017. Factors influencing the agricultural technology adoption: The case of improved Rice varieties (Nerica) in the Northen Region, Ghana. Journal of Economics and Sustainable Development 8, no. 8.
   Google Scholar
• Uematsu, H., and A.K. Mishra. 2010. Can Education Be a Barrier to Technology Adoption? Selected Paper prepared for presentation at the Agricultural and Applied Economies Association 2010. AAEA, CAES, and WAFA Joint Annual Meeting, Denver, Colorado, July 25–27. https://core.ac.uk/download/files/153/6550709.pdf (accessed July 11, 2016).
   Google Scholar
• Umar, S., M.W. Musa, and L. Kamsang. 2014. Determinants of adoption of improved maize varieties among resource-poor households in Kano and Katsina States, Nigeria. Journal of Agricultural Extension 18, no. 2: 196–205. doi: 10.4314/jae.v18i2.20
   Google Scholar
• World Bank. 2011. Missing Food: The Case of Postharvest Grain Losses in sub-Saharan Africa, Report No.60371-AFR. The World Bank.
   Google Scholar
• World Food Programme. 2014. Vulnerability analysis, monitoring, and evaluation unit Zimbabwe: Results of explanatory food and nutrition security analysis. Zimbabwe.
   Google Scholar
• Zinyengere, N., T. Mhizha, E. Mashonjowa, B. Chipindu, S. Geerts, and D. Raes. 2011. Using seasonal climate forecasts to improve maize production decision support in Zimbabwe. Agricultural and Forest Meteorology 151, no. 12: 1792–9. doi: 10.1016/j.agrformet.2011.07.015
   Web of Science ®Google Scholar