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Access to veterinary services and expenditure on pig health management: the case of smallholder pig farmers in Northern Uganda

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Abstract

Pig farming has gained momentum for most smallholder farmers in developing countries as a means of livelihood and household incomes. However, prospects of the pig enterprises are constrained by pig health management issues which affect both its productivity and profitability. Using a cross-sectional survey of 240 smallholder pig farmers, we assessed factors influencing farmers’ access to veterinary services and expenditure on pig health management in northern Uganda. Data was analysed using the binary logit and censored tobit regression models. Access to veterinary services was significantly influenced by pig herd size (p < 0.05), Village Savings and Loan Association (VSLA) membership (p < 0.1), breed (p < 0.05), production system (p < 0.05) and number of health issues recorded on farm (p < 0.01). Education level (p < 0.01), farming household members (p < 0.05), pig herd size (p < 0.01), breed (p < 0.05), previous disease incidences (p < 0.05), household labour available (p < 0.1) and access to veterinary services (p < 0.01) significantly influenced pig health expenditure. Efforts to improve access to veterinary services and improve pig health management should focus on promoting more intensive production systems and improved breeds that are associated with better access to veterinary services and reduced cost of pig health management.

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References

  • Amore, M. D., and Murtinu, S. (2019). Tobit models in strategy research: Critical issues and applications. Global Strategy Journal. 2019;1–25, 1 - 25. doi:DOI: https://doi.org/10.1002/gsj.1363

  • Atuhaire, D. K., Ochwo, S., Afayoa, M., Mwiine, F. K., Ikwap, K., Arinaitwe, E., Ademun-Okurut, R. A., Okuni, J.B., Nanteza, A., Ayebazibwe, C., Okedi, L., Olaho-Mukani, W and Ojok, L. (2013). Epidemiological Overview of African Swine Fever in Uganda (2001–2012). Journal of Veterinary Medicine, 949638, https://doi.org/10.1155/2013/949638.

  • Aubert, M., and Enjolras, G. (2014). The Determinants of Chemical Input Use in Agriculture: A Dynamic Analysis of the Wine Grape–Growing Sector in France. Journal of Wine Economics, 9(1), 75 - 99.

    Article  Google Scholar 

  • Bellemain, V. (2013). The role of Veterinary Services in animal health and food safety surveillance, and coordination with other services. Rev. sci. tech. Off. int. Epiz, 32(2), 371 - 381.

    Article  CAS  Google Scholar 

  • Brannen, C., and Sheehan-Connor, D. (2016). Evaluation of the impact of Village Savings and Loan Associations using a novel survey instrument. Development Southern Africa, https://doi.org/10.1080/0376835X.2016.1179097.

  • Brunie, A., Rutherford, D., Keyes, E. B., and Field, S. (2017). Economic benefits of savings groups in rural Mozambique. International Journal of Social Economics, 44(12), 1988-2001. doi: https://doi.org/10.1108/IJSE-04-2015-0103

    Article  Google Scholar 

  • Cameron, A., and Trivedi, P. (2005). Microeconometrics: methods and applications. . New York: Cambridge University Press.

    Book  Google Scholar 

  • Can, M. F., and Altug, N. (2014). Socioeconomic implications of biosecurity practices in small-scale dairy farms. Veterinary Quarterly, 34(2), 67 - 73. doi: https://doi.org/10.1080/01652176.2014.951130

    Article  Google Scholar 

  • Chenais, E., Sternberg-Lewerin, S., Boqvist, S., Emanuelson, U., Aliro, T., Tejler, E., Cocca, G., Masembe, C., and Ståhl, K. (2015). african swine fever in Uganda: qualitative evaluation of three surveillance methods with implications for other resource-poor settings. Frontiers in Veterinary Science, 2(51), doi: https://doi.org/10.3389/fvets.2015.00051.

  • Chenais, E., Boqvist, S., Emanuelson, U., Claudia von Brömssen, C., Emily Ouma, E., Aliro, T., Masembe, C., and Sternberg-Lewerin, S. (2017). Quantitative assessment of social and economic impact of African swine fever outbreaks in northern Uganda. Preventive Veterinary Medicine, 144, 134 - 148.

    Article  Google Scholar 

  • Chenais, E., Lewerin, S. S., Boqvist, S., Ståhl, K., Alike, S., Nokorach, B., and Emanuelson, U. (2019). Smallholders’ perceptions on biosecurity and disease control in relation to African swine fever in an endemically infected area in Northern Uganda. BMC Veterinary Research, 15(279), https://doi.org/10.1186/s12917-019-2005-7.

  • Dione, M. M., Ouma, E. A., Roesel, K., Kungu, J., Lule, P., and Pezo, D. (2014). Participatory assessment of animal health and husbandry practices in smallholder pig production systems in three high poverty districts in Uganda. Preventive Veterinary Medicine, https://doi.org/10.1016/j.prevetmed.2014.10.012.

  • Dione, M., Masembe, C., Akol, J., Amia, W., Kungu, J., Hu Suk Lee, H. S., and Wieland, B. (2018). The importance of on-farm biosecurity: Sero-prevalence and risk factors of bacterial and viral pathogens in smallholder pig systems in Uganda. Acta Tropica, 187, 214 - 221.

    Article  Google Scholar 

  • Dione, M. M., Dohoo, I., Ndiwa, N., Poole, J., Ouma, E., Amia, W. C., and Wieland, B. (2020). Impact of participatory training of smallholder pig farmer's on knowledge, attitudes and practices regarding biosecurity for the control of African swine fever in Uganda. Transbound Emerg Dis, DOI: https://doi.org/10.1111/tbed.13587.

  • FAO. (2020, August 11). FAOSTAT. Retrieved from Food and Agriculture Organisation Statistical Database: http://www.fao.org/faostat/en/#data/QV

  • Ilukor, J. (2017). Improving the delivery of veterinary services in Africa: Insights from the empirical application of transaction costs theory in Uganda and Kenya. Rev Sci Tech,, 36(1), 279-289.

    Article  CAS  Google Scholar 

  • Ilukor, J., Birner, R., and Nielsen, T. (2015). Addressing governance challenges in the provision of animal health services: A review of the literature and empirical application transaction cost theory. Preventive Veterinary Medicine, 122, 1 - 13.

    Article  Google Scholar 

  • K’Oloo, T. O., Ilukor, J., Mockshell, J., Ilatsia, E. D., and Birner, R. (2015). Are government veterinary paraprofessionals serving the poor? The perceptions of smallholder livestock farmers in Western Kenya. Trop Anim Health Prod, 47, 243–245.

    Article  Google Scholar 

  • Karlan, D., Savonitto, B., Thuysbaert, B., and Udry, C. (2017). Impact of savings groups on the lives of the poor. PNAS, 114(12), 3079–3084. doi:www.pnas.org/cgi/doi/10.1073/pnas.1611520114

  • Kothalawala, K. A., Makita, K., Kothalawala, H., Jiffry, A. M., Kubota, S., and Kono, H. (2017). Association of farmers’ socio-economics with bovine brucellosis epidemiology in the dry zone of Sri Lanka. Preventive veterinary medicine, 147, 117-123.

    Article  Google Scholar 

  • Ksoll, C., Lilleør, H. B., Lønborg, J. H., and Rasmussen, O. D. (2016). Impact of Village Savings and Loan Associations: Evidence from a cluster randomized trial. Journal of Development Economics, 120, 70–85.

    Article  Google Scholar 

  • Kungu, J. M., Masembe, C., Apamaku, M., Akol, J., Amia, W. C., and Dione, M. (2019). Pig farming systems and cysticercosis in Northern Uganda. Rev. Elev. Med. Vet. Pays Trop., 72, 72(3), 115-121. doi:doi: https://doi.org/10.19182/remvt.31254

  • Lamichhane, D. K., and Shrestha, S. (2012). Determinants of farmers’ choice for veterinary service providers in Nepal Mountains. Trop Anim Health Prod (2012) 44:1163–1168, 44, 1163 - 1168. doi:DOI https://doi.org/10.1007/s11250-011-0053-5

  • Madzimure, J., Chimonyo, M., Zander, K. K., and Dzama, K. (2012). Potential for using indigenous pigs in subsistence-oriented and market-oriented small-scale farming systems of Southern Africa. Trop Anim Health Prod, 45, 135–142.

    Article  Google Scholar 

  • Mirajkar, P. P., Kumar, S., and Singh, Y. P. (2011). Preference of service providers for the veterinary service-a case study of Sangli District of Maharastra state, India. Veterinary World, 4(3), 106-108.

    Article  Google Scholar 

  • Mockshell, J., Ilukor, J., and Birner, R. (2014). Providing animal health services to the poor in Northern Ghana: rethinking the role of community animal health workers? Tropical animal health and production, 46(2), 475-480.

    Article  Google Scholar 

  • Muhanguzi, D., Lutwama, V., and Mwiine, F. N. (2012). Factors that influence pig production in Central Uganda - Case study of Nangabo Sub-County, Wakiso district. Vet World, 5(6), 346-351. doi: https://doi.org/10.5455/vetworld.2012.346-351

    Article  Google Scholar 

  • Munzhelele, P., Oguttu, J. W., and Fasina, F. O. (2016). Is a 10-sow unit economically sustainable? A profitability assessment of productivity amongst small-holder pig farmers, Mpumalanga, South Africa. Onderstepoort Journal of Veterinary Research, 83(1), a1011. https://doi.org/10.4102/ojvr.v83i1.1011.

    Article  Google Scholar 

  • Ndyomugyenyi, E. K., and Kyasimire, J. (2015). Pig production in Kichwamba Sub-county, Rubirizi district, Uganda. Livestock Research for Rural Development, 27(10), http://www.lrrd.org/lrrd27/10/kuro27199.htm.

  • Nkamleu, G. B., and Adesina, A. A. (2000). Determinants of chemical input use in peri-urban lowland systems: bivariate probit analysis in Cameroon. Agricultural Systems, 63, 111–121.

    Article  Google Scholar 

  • OECD and FAO. (2016). OECD-FAO Agricultural Outlook 2016-2025. Paris: OECD Publishing. doi: https://doi.org/10.1787/agr_outlook-2016-en

  • Okello, D. M., Bonabana-Wabbi, J., and Mugonola, B. (2019). Farm level allocative efficiency of rice production in Gulu and Amuru districts, Northern Uganda. Agricultural and Food Economics, 7(19), https://doi.org/10.1186/s40100-019-0140-x.

  • Otte, J., Costales, A., Dijkman, J., Pica-Ciamarra, U., Robinson, T., Ahuja, V., Ly, C. and Roland-Holst, D. (2012). Livestock sector development for poverty reduction: an economic and policy perspective Livestock’s many virtues. Rome: Rome, Food and Agriculture Organization.

    Google Scholar 

  • Ouma, E., Dione, M., Birungia, R., Lule, P., Mayega, L., and Dizyee, K. (2018). African swine fever control and market integration in Ugandan peri-urban smallholder pig value chains: An ex-ante impact assessment of interventions and their interaction. Preventive Veterinary Medicine, 151, 29 - 39.

    Article  Google Scholar 

  • Penrith, M. L. (2020). Current status of African swine fever. CABI Agric Biosci: https://doi.org/10.1186/s43170-020-00011-w

  • Perry, B., and Grace, D. (2009). The impacts of livestock diseases and their control on growth and development processes that are pro-poor. Phil. Trans. R. Soc. B, 364, 2643–2655. doi:https://doi.org/10.1098/rstb.2009.0097

    Article  Google Scholar 

  • Perry, B. D., & Rich, K. M. (2007). Poverty impacts of foot-and-mouth disease and the poverty reduction implications of its control. Veterinary Record, 160, 238-241.

    Article  CAS  Google Scholar 

  • Rich, K. M., and Perry, B. D. (2011). The economic and poverty impacts of animal diseases in developing countries: New roles, new demands for economics and epidemiology. Preventive Veterinary Medicine, 101, 133 - 147.

    Article  Google Scholar 

  • Tatwangire, A. (2014). Uganda smallholder pigs value chain development: Situation analysis and trends. . Nairobi, Kenya:: International Livestock Research Institute (ILRI).

  • UBOS. (2016). National Population and Housing Census 2014: Subcounty Report – Northern Region. Kampala: Uganda Bureau of Statistics.

    Google Scholar 

  • UBOS. (2019). Statistical Abstract, 2019. Kampala: Uganda Bureau of Statistics.

    Google Scholar 

  • Wang, X., Shao, S., and Li, L. (2019). Agricultural inputs, urbanization, and urban-rural income disparity: Evidence from China. China Economic Review, 55, 67 - 84.

    Article  Google Scholar 

  • Wooldridge, J. M. (2016). Introductory Econometrics: A modern Approach (6th ed.). Boston: Cengage Learning.

    Google Scholar 

  • Yoo, S.-H. (2005). Analysing household bottled water and water purifier expenditures: simultaneous equation bivariate Tobit model. Applied Economics Letters, 12(5), 297-301. :DOI: https://doi.org/10.1080/1350485042000293121

    Article  Google Scholar 

  • Yue, Y. R., and Hong, H. G. (2012). Bayesian Tobit quantile regression model for medical expenditure panel survey data. Statistical Modelling, 12(4), 323–346.

    Article  Google Scholar 

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Funding

The Regional University Forum for Capacity Building in Agriculture (RUFORUM) funded this study through a project titled “Enhancing Pig Production and Marketing for Smallholder Farmers in Northern Uganda”.

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Correspondence to Daniel Micheal Okello.

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Okello, D.M., Odongo, W., Aliro, T. et al. Access to veterinary services and expenditure on pig health management: the case of smallholder pig farmers in Northern Uganda. Trop Anim Health Prod 52, 3735–3744 (2020). https://doi.org/10.1007/s11250-020-02411-6

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