Determinants of Poultry Egg Farmers’ Participation in Livestock Insurance in Rivers State, Nigeria

Year 2023, Volume: 6 Issue: 6, 643 - 648, 01.11.2023

Adeyinka Aroyehun

https://doi.org/10.47115/bsagriculture.1323005

Abstract

Poultry farming is exposed to several hazards caused by epidemic diseases, climate change and marketing among others which lead to losses of revenue. Yet, majority of poultry farmers do not neither shared nor transferred their hazards rightly. In the light of this, this study examined the determinants of poultry egg farmers’ participation in livestock insurance in Rivers State, Nigeria. Primary data were obtained with the aid of questionnaire and interview schedules from 120 farmers drawn through multistage sampling procedure. Descriptive statistics and Probit regression model were used to analyze the data. Results shows the mean age of the poultry egg farmers to be 45.21 years, years spent in formal education mean of 14.87 years, mean household size of five (5), and stock size of 1721 birds were obtained. 60.8% were aware of livestock insurance and about 35% of the farmers insured their farms. Probit regression result shows that access to credit facilities, stock size and household size were statistically significant determining the poultry egg farmers’ participation in livestock insurance scheme. Poor agricultural extension service delivery and delay in indemnity payment among others were constraints encountered in participating livestock insurance. The study recommends that extension agents in collaboration with the insurance company providers should educate poultry farmers on livestock insurance role in risk management. Also, insurance companies should endeavor to keep terms of contractual arrangements not to delay in indemnity payment to the farmers.

Keywords

Indemnity, Livestock insurance, Poultry farmers, Participation, Premium, Probit model

References

• Adeyonu AG, Oyawoye EO, Otunaiya AO, Akinlade RJ. 2016. Determinants of poultry farmers’ willingness to participate in National Agricultural Insurance Scheme in Oyo State, Nigeria. Appl Trop Agri, 21(3): 55-62.
• Ajieh PC, 2010. Poultry farmers' response to agricultural insurance in delta State, Nigeria. J Agri Sci, 1(1): 43-47. DOI: 10.1080/09766898.2010.11884653.
• Akinrinola OO, Okunola AM. 2014. Evaluation of effects of agricultural insurance scheme on agricultural production in Ondo State. Russian J Agri Socio-Econ Sci, 28(4): 3-8. DOI: 10.18551/rjoas.2014-04.01.
• Akintunde OK. 2015. Determinants of poultry farmers’ participation in livestock insurance in Southwest Nigeria. Asian J Poultry Sci, 9(4): 233-241. DOI: 10.3923/ajpsaj.2015.233.241.
• Babalola DA. 2014. Determinants of farmers’ adoption of agricultural insurance: The case of poultry farmers in Abeokuta Metropolis of Ogun State, Nigeria. British J Poultry Sci, 3(2): 36-41. DOI: 10.5829/idosi.bjps.2014.3.2.83216.
• Dhanireddy PKR. 2010. A bivariate probit model of disaster assistance and crop insurance participation. URL: https://economics.arizona.edu/file/1408/download?token=oXmlojyp (accessed date: October 10, 2022).
• Nasiru M, Haruna U, Garba A, Tafawa A. 2012. Economics of livestock marketing in Gamawa Local Government Area, Bauchi State, Nigeria. Eighth African Farm Management Association (AFMA) Congress, November 25-29, 2012, Nairobi, Kenya. DOI: 10.22004/ag.econ.159412.
• NBS. 2016. National bureau of statistics. Nigerian gross domestic product report. Federal Republic of Nigeria. URL: https://www.nigerianstat.gov.ng/download/518#:~:text=Full%20year%202016%20Real%20GDP,recorded%20in%202016%20third%20quarter (accessed date: June 17, 2022).
• NBS. 2011. National bureau of statistics. Annual abstract of statistics. URL: https://nigerianstat.gov.ng/elibrary/read/187 (accessed date: July 20, 2022).
• Oduwaiye MO, Ogunlade I, Omotesho KF, Oladipo FO, Omopariola OA. 2017. Analysis of poultry farmers perception on environmental issues associated with poultry farming in Kwara State, Nigeria. Ethiopian J Environ Stud Manag, 10(2): 262-275. DOI: 10.4314/ejesm.v10i2.12.
• Olubiyo SO, Hill GP, Webster JPG. 2009. Econometric analysis of the impact of agricultural insurance of farming systems in the Middle Belt, Nigeria. Afr J Food Agri Nutri Dev, 9(6): 1406-1418. DOI: 10.4314/ajfand.v9i6.46266.
• Sasu DD. 2022. Current and projected livestock population in Nigeria 2012-2050, by species. URL: https://www.statista.com/statistics/1131581/current-and-projected-livestock-population-in-nigeria/ (accessed date: October 07, 2022).
• Tijani A, Alimi T, Adesiyan AT. 2006. Profit efficiency among Nigerian poultry egg farmers: A case study of Aiyedoto Farm Settlement, Nigeria. Res J Agri Biol Sci, 2(6): 256-261.