IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2298-d1047666.html
   My bibliography  Save this article

Determinants of Health Management Practices’ Utilization and Its Effect on Poultry Farmers’ Income in Ondo State, Nigeria

Author

Listed:
  • Adewale Isaac Olutumise

    (Department of Agricultural Economics, Adekunle Ajasin University, Akungba-Akoko 342111, Ondo State, Nigeria
    Department of Economic and Business Sciences, Walter Sisulu University, Mthatha Campus, Mthatha 5117, South Africa)

  • Taiwo Olarotimi Oladayo

    (Department of Animal Production and Health, Federal University of Technology, Akure 340110, Ondo State, Nigeria)

  • Lawrence Olusola Oparinde

    (Department of Agricultural and Resource Economics, Federal University of Technology, Akure 340110, Ondo State, Nigeria)

  • Igbekele Amos Ajibefun

    (Department of Agricultural and Resource Economics, Federal University of Technology, Akure 340110, Ondo State, Nigeria)

  • Taye Timothy Amos

    (Department of Agricultural and Resource Economics, Federal University of Technology, Akure 340110, Ondo State, Nigeria)

  • Yiseyon Sunday Hosu

    (Department of Economic and Business Sciences, Walter Sisulu University, Mthatha Campus, Mthatha 5117, South Africa)

  • Idowu Alimi

    (Department of Agricultural Economics, Adekunle Ajasin University, Akungba-Akoko 342111, Ondo State, Nigeria)

Abstract

Nigeria is the second largest poultry industry in Africa, with its poultry industry the most commercialized livestock sub-sector. Despite its significance, the farmers still experience economic losses due to disease outbreaks. Hence, the application of standard Health Management Practices (HMPs) is very important, as these practices improve the welfare of animals and increase animal production and farmers’ income. This paper examined the determinants of HMP’s utilization and its effect on poultry farmers’ income in Ondo State, Nigeria. We used multistage sampling procedures to select 120 respondents who provided data for the study. The study used Generalized Poisson Regression (GPR) and Conditional Quantile Regression (CQR) models to estimate the determinants of HMP’s utilization intensity, and its heterogeneous effects on farmers’ income, respectively. The results revealed that the HMP’s utilization intensity was significantly driven by variables such as education, training, experience, land ownership, stock size, mortality rate, and production system. In addition, HMP’s utilization had significant heterogeneous effects on farmers’ income. Therefore, the government and other developmental agencies should promote HMP’s utilization through the provision of poultry-based skills acquisition and vocational education.

Suggested Citation

  • Adewale Isaac Olutumise & Taiwo Olarotimi Oladayo & Lawrence Olusola Oparinde & Igbekele Amos Ajibefun & Taye Timothy Amos & Yiseyon Sunday Hosu & Idowu Alimi, 2023. "Determinants of Health Management Practices’ Utilization and Its Effect on Poultry Farmers’ Income in Ondo State, Nigeria," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2298-:d:1047666
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2298/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2298/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zoë A Campbell & Thomas L Marsh & Emmanuel A Mpolya & Samuel M Thumbi & Guy H Palmer, 2018. "Newcastle disease vaccine adoption by smallholder households in Tanzania: Identifying determinants and barriers," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-16, October.
    2. John Cranfield & Spencer Henson & Jose Blandon, 2012. "The Effect of Attitudinal and Sociodemographic Factors on the Likelihood of Buying Locally Produced Food," Agribusiness, John Wiley & Sons, Ltd., vol. 28(2), pages 205-221, March.
    3. Soul‐kifouly G. Midingoyi & Menale Kassie & Beatrice Muriithi & Gracious Diiro & Sunday Ekesi, 2019. "Do Farmers and the Environment Benefit from Adopting Integrated Pest Management Practices? Evidence from Kenya," Journal of Agricultural Economics, Wiley Blackwell, vol. 70(2), pages 452-470, June.
    4. Bae, S. & Famoye, F. & Wulu, J.T. & Bartolucci, A.A. & Singh, K.P., 2005. "A rich family of generalized Poisson regression models with applications," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 4-11.
    5. JOHNSON, Sina Basil & MAFIMISEBI, Taiwo E. & OGUNTADE, Adegoyega E. & MAFIMISEBI, Ojuotimi E., 2020. "Factors Affecting The Profitability Of Poultry Egg Production In Southwest Nigeria. An Application Of Quantile Regression," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(1), March.
    6. Heise, Heinke & Crisan, Alexandra & Theuvsen, Ludwig, 2015. "The Poultry Market in Nigeria: Market Structures and Potential for Investment in the Market," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(A), pages 1-26, July.
    7. Apri Wahyudi & John K. M. Kuwornu & Endro Gunawan & Avishek Datta & Loc T. Nguyen, 2019. "Factors Influencing the Frequency of Consumers’ Purchases of Locally-Produced Rice in Indonesia: A Poisson Regression Analysis," Agriculture, MDPI, vol. 9(6), pages 1-17, June.
    8. Wanglin Ma & Xiaobing Wang, 2020. "Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1087-1112, October.
    9. Weiren Wang & Felix Famoye, 1997. "Modeling household fertility decisions with generalized Poisson regression," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(3), pages 273-283.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ags:aaea22:335656 is not listed on IDEAS
    2. Yang, Qi & Zhu, Yueji & Liu, Ling & Wang, Fang, 2021. "Land tenure stability and adoption intensity of sustainable agricultural practices: Evidence from banana farmers in China," 2021 Conference, August 17-31, 2021, Virtual 315254, International Association of Agricultural Economists.
    3. Wulai Jijue & Junlan Xiang & Xin Yi & Xiaowen Dai & Chenming Tang & Yuying Liu, 2024. "Market Participation and Farmers’ Adoption of Green Control Techniques: Evidence from China," Agriculture, MDPI, vol. 14(7), pages 1-21, July.
    4. Adewale Isaac Olutumise, 2023. "Impact of credit on the climate adaptation utilization among food crop farmers in Southwest, Nigeria: application of endogenous treatment Poisson regression model," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-19, December.
    5. Min Liu & Taiyang Zhong & Xiao Lyu, 2024. "Spatial Spillover Effects of “New Farmers” on Diffusion of Sustainable Agricultural Practices: Evidence from China," Land, MDPI, vol. 13(1), pages 1-25, January.
    6. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    7. Thanh‐Tung Nguyen & Trung Thanh Nguyen & Ulrike Grote, 2023. "Internet use and agricultural productivity in rural Vietnam," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1309-1326, August.
    8. Ajiferuke, Isola & Famoye, Felix, 2015. "Modelling count response variables in informetric studies: Comparison among count, linear, and lognormal regression models," Journal of Informetrics, Elsevier, vol. 9(3), pages 499-513.
    9. Hannah Gichungi & Beatrice Muriithi & Patrick Irungu & Gracious Diiro & John Busienei, 2021. "Effect of Technological Innovation on Gender Roles: The Case of Fruit Fly IPM Adoption on Women’s Decision-Making in Mango Production and Marketing in Kenya," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(3), pages 407-426, June.
    10. Apri Wahyudi & John K. M. Kuwornu & Endro Gunawan & Avishek Datta & Loc T. Nguyen, 2019. "Factors Influencing the Frequency of Consumers’ Purchases of Locally-Produced Rice in Indonesia: A Poisson Regression Analysis," Agriculture, MDPI, vol. 9(6), pages 1-17, June.
    11. Fuhong Zhang & Apurbo Sarkar & Hongyu Wang, 2021. "Does Internet and Information Technology Help Farmers to Maximize Profit: A Cross-Sectional Study of Apple Farmers in Shandong, China," Land, MDPI, vol. 10(4), pages 1-18, April.
    12. Bredl, Sebastian, 2012. "Child Quality and Child Quantity: Evidence from Bolivian Household Surveys," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62065, Verein für Socialpolitik / German Economic Association.
    13. Zheng, Hongyun & Ma, Wanglin & Wang, Fang & Li, Gucheng, 2021. "Does internet use improve technical efficiency of banana production in China? Evidence from a selectivity-corrected analysis," Food Policy, Elsevier, vol. 102(C).
    14. Stefano Mainardi, 2003. "Testing convergence in life expectancies: count regression models on panel data," Prague Economic Papers, Prague University of Economics and Business, vol. 2003(4), pages 350-370.
    15. Backson Mwangi & Ibrahim Macharia & Eric Bett, 2021. "Ex-post Impact Evaluation of Improved Sorghum Varieties on Poverty Reduction in Kenya: A Counterfactual Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 447-467, April.
    16. Sarah Frankel & Michelle Childs & Youn-Kyung Kim, 2021. "Alternative Hedonism: Its Relation to Tattoo Coverage and Community Type," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 13(1), pages 1-1, February.
    17. Carallo, Giulia & Casarin, Roberto & Robert, Christian P., 2024. "Generalized Poisson difference autoregressive processes," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1359-1390.
    18. Kassie, Menale & Abro, Zewdu & Kimathi, Emily & De Groote, Hugo & Tefera, Tadele & Subramanian, Sevgan & Wossen, Tesfamichael & Ekesi, Sunday & Ekesi, Sunday, 2021. "The Economic, Food Security, and Health Effects of Fall Armyworm in Ethiopia," 2021 Conference, August 17-31, 2021, Virtual 315887, International Association of Agricultural Economists.
    19. Yemane Asmelash Gebremariam & Joost Dessein & Beneberu Assefa Wondimagegnhu & Mark Breusers & Lutgart Lenaerts & Enyew Adgo & Zemen Ayalew & Amare Sewenet Minale & Jan Nyssen, 2021. "Determinants of Farmers’ Level of Interaction with Agricultural Extension Agencies in Northwest Ethiopia," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    20. Xian Liang & Hui Xiao & Fangmiao Hou & Xuan Guo & Lishan Li & Longjunjiang Huang, 2024. "Breaking the chains of poverty: examining the influence of smartphone usage on multidimensional poverty in rural settings," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    21. Pablo Brañas-Garza & Shoshana Neuman, 2007. "Parental religiosity and daughters’ fertility: the case of Catholics in southern Europe," Review of Economics of the Household, Springer, vol. 5(3), pages 305-327, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2298-:d:1047666. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.