Livestock Farmers’ Willingness to Pay for Farming Insurance in Four Divisions of the West Region of Cameroon
Emmanuel Ebai Enow Oben *
Department of Social Science, Peace and Security Issues, Center for Research and Development Coordination, Buea, South-West Region, Cameroon.
Humphrey Ngala Ndi
Department of Geography, Higher Teachers Training College, University of Yaounde I, Yaounde, Center Region, Cameroon.
Louis Bernard Tchuikoua
Department of Geography, Higher Teachers Training College, University of Yaounde I, Yaounde, Center Region, Cameroon.
*Author to whom correspondence should be addressed.
Abstract
Livestock farming insurance is essential for the protection of farmers. This study examines poultry and pig farmers’ willingness and determinants to pay for livestock farming insurance in the Mifi, Koung-Khi, Bamboutos and Upper-Plateau Divisions of the West Region of Cameroon, a context in which livestock insurance is absent. A quantitative design was employed in which data were collected from 430 poultry and pig farmers using structured questionnaires administered through cluster and snowball sampling techniques. Data were analysed quantitatively using the Chi-Square, the Binary Logistic Regression and the Integrated Value Mapping Tests. This study revealed that only 33.5% were willing to get farming insurance, 51.2% were unwilling and 15.2% were unsure. More farmers in the Mifi Division were willing to get livestock farming insurance than farmers in other sample divisions. The Chi-Square Test highlighted several variables influencing farmers’ willingness to get farming insurance. Among these variables, the Binary Logistics Regression Test revealed that monthly household income and source of labour were significant determinants of poultry farmers’ willingness to get insurance, while years of experience, monthly household income, total size of the flock and division were significant determinants for pig farmers. Overall, socioeconomic factors influenced pig farmers’ willingness to subscribe to a livestock insurance scheme more than production factors. The Integrated Value Mapping (IVM) combining the predictive effects of both factors was 35.1%, thus implying that 64.9% variability was not accounted for. For poultry farmers, production factors predicted willingness to subscribe to a livestock insurance scheme more than socioeconomic characteristics. The Integrated Value Mapping (IVM) combining the predictive effects of both components was 51.2%, implying that 48.8% variability was not accounted for. This study recommends that the government set up a National Livestock Insurance Policy and for insurance companies to sensitise farmers on the need and importance of livestock farming insurance.
Keywords: Determinants, insurance, livestock, poultry, pig and willingness
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References
Alexandratos N, Bruinsma J. World agriculture towards 2030/2050: the 2012 revision. 2012;12-03. Available:https://www.fao.org/3/ap106e/ap106e.pdf Accessed 15 March 2021.
MINEPIA République du Cameroon. Schema directeur pour le developpement des filieres de l’elevage au Cameroun. Volume II: Cartographie des Filieres ;2009. Available:https://docplayer.fr/20931055-Schema-directeur-pour-le-developpement-des-filieres-de-l-elevage-au-cameroun.html. French Accessed 17 November 2020
Dieumou F, Tandzon D. Feed management in pig production and an attempt for improvement: A case study of Babadjou locality in the Western Region of Cameroon. Journal of Applied Life Sciences International. 2017;12(3):1-9.
Ebanja J, Ghogomu S, Paeshuyse J. African swine fever in Cameroon: A review. Pathogens. 2021;10 (4): 421. Available:http://www.doi:10.3390/pathogens10040421
Mahul O, Stutley C. Government support to agricultural insurance. The World Bank; 2010. Available:https://openknowledge.worldbank.org/handle/10986/2432 Accessed 15 March, 2021.
Platform for Agricultural Risk Management (PARM). Cameroon: Agricultural Risk Profile; 2016. Available:https://p4arm.org/app/uploads/2018/05/Cameroon_risk-profile_factsheet_EN.pdf Accessed 20 March 2019.
Platform for Agricultural Risk Management (PARM,). Evaluation des risques agricoles au Cameroun. Rapport Final; 2017. Available:https://p4arm.org/app/uploads/2015/02/PARM_Cameroon_Risk-Assessment-Study_web_FR.pdf. French Accessed 20 March 2019.
Mbodiam B. Cameroon: Poultry provided 34.38% of total meat production in 2011-16. Business in Cameroon; 2018. Available:https://www.businessincameroon.com/husbandry/0210-8415-cameroon-pou ltry-provided-34-38-of-total-meat-productio n-in-2011-16 Accessed 25 October 2019.
MINEPIA République du Cameroun. Amélioration quantitative et qualitative des animaux de commerce et de leurs produits, par la réduction des pertes dues aux maladies transfrontalières. French; 2011;46.
National Institute of Statistics (NIS). Cameroon Statistical Yearbook. Yaounde, Cameroon; 2016.
National Institute of Cartography (NIC). Map of the West Region of Cameroon. Yaounde, Cameroon; 2020.
Dong H, Jimoh S, Hou Y, Hou X. Willingness to Pay for Livestock Husbandry Insurance: An Empirical Analysis of Grassland Farms in Inner Mongolia, China. Sustainability. 2020;12 (18):7331. Available:https://doi.org/10.3390/su12187331
Oduniyi O, Antwi M, Tekana S. Farmers’ willingness to pay for index-based livestock insurance in the North West of South Africa. Climate. 2020;8(3): 47. Available:https://doi.org/10.3390/cli8030047
Farayola C, Adedeji A, Popoola P, Amao S. Determinants of participation of small-scale commercial poultry farmers in agricultural insurance scheme in Kwara State, Nigeria. World Journal of Agricultural Research. 2013;1(5):96- 100. Available:http://doi.org:10.12691/wjar-1-5-5
Marcelo J, Rodrigo L, Marcela D, Hildo M. Determinants of agricultural insurance adoption: Evidence from farmers in the state of São Paulo. RAUSP Management Journal;2020. Available:https://doi.org/10.1108/RAUSP-09-2019-0201
Was A, Kobus P. Factors differentiating the level of crop insurance at Polish farms. Agricultural Finance Review. 2018;78(4) :209–22. Available:https://doi.org/10.1108/AFR-06-2017-0054
Marianne L, Dimitre N, Sergio G, Minka C. Determinants of insurance adoption among Bulgarian farmers: the importance of other risk management decisions on the farm. Agricultural Finance Review. 2014;74 (3): 326-347. Available:https://doi.org/10.1108/AFR-05-2013-0022.
Peter N. Poultry farmers in Cameroon loss 7 billion FCFA to Covid-19. CEMAC-Eco.finance. Available:https://cemac-eco.finance /poul try-farmers-in-cameroon-loss-7-billion-fcfa-to-covid-19/ Accessed 25 October 2019.
West Regional Delegation of MINEPIA. Report on the state of livestock in the West Region of Cameroon. MINEPIA, Cameroon; 2019.
Wolf C, Widmar, N. Can insurance provide the US dairy farm safety net? Agriculture and Food Economics Journal; 2015. Available:https://doi.org/10.1186/s40100-015-0031-8