Economic Burden of Malaria and Productivity of Farmers in Nigeria: Evidence from Ogun State

Daniel Akinola Babalola, B.O. Osuntade, J.O. Kio, C.O. Agbede

Abstract


Malaria is one of the commonest tropical diseases plaguing rural African thus combating it has remained a major health and economic issue as highlighted in the Sustainable development Goals (SDGs).This study examined the effect of malaria on the productivity of cassava based farmers in Ogun state. The data for this study were collected from 338 farmers in Ogun State selected using multi-stage sampling techniques. Information gathered, which included socio-economic, institutional and farm-level factors, were analyzed using descriptive statistics, Total Factor Productivity (TFP) and regression model (at P-value ≤ 0.05). The result of the analysis showed that 72% of the farmers were susceptible to malaria. Average days of incapacitation due to malaria in the study area (proxy for malaria burden) were 12 days with estimated average annual per capita income loss of N10,922.83 (approx. $30). Few farming households (20%) used mosquito nets to prevent malaria and most of them (53%) practice self-medication in treating malaria when sick. Majority (51%) of the farmers had productivity levels >1.0 and their level of productivity is influenced negatively by days of incapacitation due to malaria. Other factors which influenced productivity include level of education, farming experience, farmers’ access to credit facility and farm size. Thus, efforts should be directed towards policies and programmes that will further enhance farmers’ awareness of the need to prevent malaria especially with the use of mosquito nets and environmental sanitation. This will increase their potential to improve productivity sustainably.

Keywords


cassava farmers, economic burden, malaria burden, mosquito nets, productivity, regression model, Nigeria

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Abdel-Hameed, A. 2001. Malaria case management at the community level in Gezira, Sudan. African J. Medicine and Medical Sci. 30:43-6.

Adesoye, B. A., and D. A. Babalola. 2017, Health Policy and Mortality Rate Expectancy in Nigeria. Canadian J. Pure and Applied Sci. 11(3): 4349-4354

Ajani, O .I. Y., and W.M. Ashagidigbi. 2008. Effect of malaria on rural households' farm income in Oyo state, Nigeria. Department of Agricultural Economics, University of Ibadan, Nigeria Afri. J. Biomed. Res. 11(3): 259-266

https://doi.org/10.4314/ajbr.v11i3.50723

Ajani, O. I. Y., and P. C. Ugwu. 2008. The impact of adverse health on agricultural production of farmers in kainji basin north central Nigeria using a stochastic production frontier approach. Unpublished thesis, Department of Agricultural Economics, University of Ibadan, Nigeria.

https://doi.org/10.3923/tae.2008.1.7

Ajao, A. O., Williams, S. B., Idowu, E. O., and L. T. Ogunniyi. 2007. The impact of micro credit on food production in Osogbo Local government area of Osun state. Nigerian association of agricultural economists, 2006 annual conference, Lautech - ogbomoso. Book of proceedings. pp. 121-126

Alaba, O. A., and O. B. Alaba. (2003). Malaria in children. implications for the productivity of female caregivers in Nigeria. Proceeding of Annual Conference of the Nigerian Economic Society (NES). pp. 395 - 413.

Antle, J. M., and P. L. Pingali. 1994. Pesticides, productivity, and farmer health: A Philippine case study. Amr J. Agric. Econs 76(3): 418-30.

https://doi.org/10.2307/1243654

Antle, M. J., and S. M. Capalbo. l988. An Introduction to Recent Development in Production Theory and Productivity Measurement in Capalbo, S.M. and Antle, M.J. 'Agricultural Productivity: Measurement and Explanation' Resources for the Future, Inc., Washington, DC.

Appawu, M., Owusu-Ansah, S., Dadzie, S., Asoala, V., Anfo, F., and K. Koram. 2004. Malaria transmission dynamics at a site in Northern Ghana proposed for testing malaria vaccines. Trop Med. Int. Health 9(1):164-170.

https://doi.org/10.1046/j.1365-3156.2003.01162.x

Asenso-Okyere, K., Asante, F. A., Tarekegn, J., and S. K. Andam. 2009. Linkages between malaria and agriculture: Issues for policy research and capacity strenghening. International Food Policy Research (IFPRI) discussion. No. 00861.

Asenso-Okyere, W. K., and J. A. Dzator. 1997. Household cost of seeking malaria care. A retrospective study of two districts in Ghana. Soc. Sci. & med. 45(5):659-67.

https://doi.org/10.1016/S0277-9536(96)00383-8

Ayieko, P., Akumu, A. O., Griffiths, U. K., and M. English. 2009. The economic burden of inpatient pediatric care in Kenya: Household and provider costs for treatment of pneumonia, malaria and meningitis. Cost Effective Resource Allocation. 7, 3.

https://doi.org/10.1186/1478-7547-7-3

Babalola, D. A., and O. Kazeem. 2013. Determinants of farm productivity among fluted pumpkin (telfairia occidentalis) farmers in Ikenne local government area of Ogun state J. Res. in Agric 10(1):49-55

Babalola, D. A., Awoyemi, T. T., and Y. A. Awoyinka. 2009. Effects of Malaria on Rural Farming Household Labour Supply: The Case of Ikenne Local Government, Ogun State, Nigeria. J. life Phys. Sci. 3(1): 19-24.

Babalola, D. A., Olarewaju, M., Omeonu, P.E., Adefelu, A. O., and R. Okeowo. 2013. Assessing the adoption of Roll Back Malaria Programme (RBMP) among women farmers in Ikorodu Local Government Area of Lagos State. Canadian J. Pure and Appl. Sci. 7(2): 2375-2379

Bhargava, A., Dean, T., Jamison, L. J., and C. J. Murray. 2001. Modeling the effects of health on economic growth. J. Health Econs 20(3): 423-40.

https://doi.org/10.1016/S0167-6296(01)00073-X

Bloom, D. E., David, C., and S. Jaypee. 2001. The effect of health on economic growth: theory and evidence. NBER Working Paper 8587. Accessed Dec. 15, 2018. http://www.nber.org/papers/w8587

Caesar, B.C. 2002. Total Factor Productivity in the Philippines, Discussion paper series no. 2002-01, Philippines Institute for Development Structure.

Coelli, T. J., and D. S. Rao. 2003. Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries, 1980-2000, CEPA working paper WP02/2003

Coelli, T.J., Rao, D. S., O'Donnell Christopher, J., and G. E. Battese 1998. An introduction to efficiency and productivity analysis (Second Edition). Springer Inc. USA. P. 95

https://doi.org/10.1007/978-1-4615-5493-6

Croppenstedt, A., and C. Muller. 2000. The impact of farmers' health and nutrition status on their productivity and efficiency: Evidence from Ethiopia. Eco. Dev and Cultural Change 48(3): 475-502.

https://doi.org/10.1086/452607

Deolalikar, A. B. 1988. Nutrition and labor productivity in agriculture: Estimates for rural South India. Rev. Econs and Stat. 70(3): 406-13.

https://doi.org/10.2307/1926778

Ettling, M., Mcfarland, D.A., Schulz, L.J., and L. Chitsulo. 1994. Economic impact of malaria in Malawian households. Tropical Med. and Parasitology. 45:74-79.

Farrell, M. J. 1957. The measurement of productivity efficiency. J. Royal Statistical Society Series. 120: 253-290.

https://doi.org/10.2307/2343100

From the Nigerian agricultural and cooperative bank. AGRIS. 15: 35-45

Guiguemde, T. 1994. Household expenditure on malaria prevention and treatment for families in the town of Bobo-Dioulasso, Burkina Faso. Transactions of the Royal Society of Tropical Medicine and Hygiene 88(3): 285-292.

https://doi.org/10.1016/0035-9203(94)90079-5

Hawkes, C., M. T. Ruel. 2006. The links between agriculture and health: an inter-sectorial opportunity to improve the health and livelihoods of the poor. Bulletin of the World Health Organization 84(12): 985-91.

https://doi.org/10.2471/BLT.05.025650

ICS-Nigeria. 2002. Growing maize in: Commercial crop production guide series. Publication of Information and Communication Support for Agricultural Growth in Nigeria. Support initiative funded by USAID and IITA. Accessed January 12, 2017. www.ics-nigeria.org

Isitor, S. U., Babalola, D. A., and K. S. Obaniyi. 2014. An Analysis of Credit Utilization and Farm Income of Arable Crop Farmers in Kwara State, Nigeria. Global J. Sci Frontier 14(10): 27-34

Isoya rural development project. Res. J. Agri and Biol, Sci. 3(3): 138-142

Iyaniwura, O., and A. M. Osoba. 1983. Measuring Productivity, Conceptual and Statistical Problems: Improvement of Statistics in Osoba A. M. (ed.) 'Productivity in Nigeria' Proceedings of a National Conference' NISER, Ibadan.

Kebede, A, McCann JC, Kiszewski AE, Ye-Ebiyo Y (2005). New evidence of the effects of agro-ecologic change on malaria transmission. Am. J. Trop. Med. Hygiene 73(4):676-680.

https://doi.org/10.4269/ajtmh.2005.73.676

Key, N., and W. Mcbride. 2003. Production Contracts and Productivity in the U.S. Hog Sector. Amr J. Agri. Econs.85 (1): 121 - 133.

https://doi.org/10.1111/1467-8276.00107

Kumar, P and Mittal, S (2000): Agricultural Performance and Productivity. Final report ICAR-ACIAR collaborative project on equity driven trade and marketing policies and strategies for Indian agriculture. Division of agricultural economics, Indian Agricultural Research Institute, New Delhi

Kwadwo Asenso-Okyere, Felix A. Asante, Jifar Tarekegn, and Kwaw S. Andam (2011). "Addressing the link between Agriculture, Malaria and Development in Nigeria" Conference paper for Levering Agriculture for improving nutrition and health. Pg 16.

López-Casasnovas, G., Rivera, B., Currais, L. 2005. Health and Economic Growth: findings and Policy Implications. Cambridge: MIT Press. pp. 287-311.

https://doi.org/10.7551/mitpress/3451.001.0001

Maxwell Asiamah, T., Dzadze P., and B. Gyasi. 2014. The effect of malaria on staple food crop production in the Ejisu-Juaben Municipality of the Ashanti Region of Ghana. J. Agri. Ext. and Rural Dev. 6(3): 87-93. http://www.academicjournals.org

https://doi.org/10.5897/JAERD2013.0483

Mayer, D., Mora, H., Cermeno, R., Barona, A.B., and S. Duryeau. 2001. Health, growth and income distribution in Latin America and the Caribbean: a study of determinants and regional local behavior. In: Investment in Health: social and Economic Returns. Washington, DC: Pan American Health Organization

Mbam, B. N., and H.O. Edeh. 2011. Determinants of farm productivity. J. Animal and Plant Sci. 9(3):1187-1191

Miguel, E., and M. Kremer. 2004. Worms: Identifying impacts on education and health in the presence of treatment externalities. Econometrica 72(1): 159-217.

https://doi.org/10.1111/j.1468-0262.2004.00481.x

Mwabu, G., and A. Fosu, A. 2007. Malaria and Poverty in Africa. Kenya: The University of Nairobi Press.

Nigeria Bureau of Statistics (NBS). 2007. Nigeria Bureau of Statistics Annual Abstract of Statistics. 2006 Population Cencus. pp. 5-34.

Okunade, E. O. 2007. Accessibility of agricultural credit and inputs to women farmers of

Oladepo, O., Tona, G. O., Oshiname, F.O., and M. A. Titiloye. 2010. Malaria knowledge and agricultural practices that promote mosquito breeding in two rural farming communities in Oyo State, Nigeria. Malaria J. 9(91). Accessed on January 22, 2019. https://malariajournal.biomedcentral.com/track/pdf/10.1186/1475-2875-9-91

https://doi.org/10.1186/1475-2875-9-91

Olaoye, A. O. 1985. Total Factor Productivity Trends in Nigerian Manufacturing Nigerian J. Eco. and Soc. Studies. 27(3): 317-345.

Olawale, G. 2016. Fifty one million Nigerians tested positive to malaria in 2015- NIMR news comments, Vanguard News Online. Accessed July 21, 2018 http://www.vanguardngr.com.

Olomola, A. S. 1992. Factors influencing small holder transaction cost of borrowing

Oluwatayo, I. B. 2014. Socioeconomic Burden of Malaria on Productivity of Rice Farmers in Rural Southwest, Nigeria. Mediterranean J. Soc. Sci. 5(15): 175-182

https://doi.org/10.5901/mjss.2014.v5n15p175

Omotayo, A. O., and A. S. Oyekale. 2013. Effect of Malaria on Farming Households' Welfare in Ido Local Government Area of Oyo State, Nigeria J Hum Ecol, 44(2): 189-194

https://doi.org/10.1080/09709274.2013.11906657

Picard, J., and A. Mills. 1992. The Effect of Malaria on Work Time: Analysis of Data from Two Nepali districts. The Journal of Tropical Med. and Hygiene, 95(6):382-389

Pitt, M. M., and M. R., Rosenzweig. 1986. Agricultural prices, food consumption, and the health and productivity of Indonesian farmers. In Singh, I, Squire, L & Strauss, J (Eds), Agricultural Household Models. Johns Hopkins University Press, Baltimore.

Romer, P. M. 1990. Endogenous technological change. J. Political Economy, 98(5), 71-102.

https://doi.org/10.1086/261725

Sachs, J. D. 2001. Macroeconomics and health: Investing in health for economic development. Report of the Commission on Macroeconomics and Health. World Health Organization, Geneva.

Sachs, J., and P. Malaney. 2010. The Economic and Social Burden of Malaria. Insight Review Articles. Center for International Development, John F. Kennedy School of Government, Harvard University.

Samuelson, P. A., and W. D. Nordhaus. 1995. Economics. 15th edition, McGraw-Hill, USA.

Solow, R. M. 1956. A contribution to the theory of economic growth. Quarterly Journal of Economics, 70: 65-94.

https://doi.org/10.2307/1884513

Strauss, J. 1986. Does better nutrition raise farm productivity? Journal of Political Economy 94(2), 297-320.

https://doi.org/10.1086/261375

Systemwide Initiative on Malaria and Agriculture (SIMA). 2002. SIMA on Malaria in Irrigated Agriculture Colombo. Sri Lanka: International Water Management Institute, Eline Boelee, Flemming Konradsen, Wim van der Hoek, 1-8.

Thirtle, C; Hadley, D and Townsend, R (1995): A multilateral Malmquist productivity index approach to explaining agricultural growth in Sub-Saharan development. Policy review, 1995

Ulimwengu John (2009). Farmers' health and agricultural productivity in rural Ethiopia. AFJARE 3(2): 83-100

Wang'ombe, J. K., and G. M. Mwabu. 1993. Agricultural land use patterns and malaria conditions in Kenya. Soc. Sci. and Medicine, 37(9)1121-30.

https://doi.org/10.1016/0277-9536(93)90251-X

World Bank, 2007. World Development Report: Agriculture for Development. The World Bank, Washington, DC.

Yasuoka, J., R. Levins. 2007. Impact of deforestation and agricultural development on Anopheline ecology and malaria epidemiology. Amr. J. Trop. Med. Hygiene 76 (3):450-460.

https://doi.org/10.4269/ajtmh.2007.76.450


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