IDEAS home Printed from https://ideas.repec.org/a/ags/roaaec/320831.html
   My bibliography  Save this article

Factors Influencing Pest Management Decisions Among Maize Farming Households

Author

Listed:
  • OBETEN, Wofai Onen
  • EBUKIBA, Elizabeth Samuel
  • OTITOJU, Moradeyo Adebanjo

Abstract

Research background: Poor pest management decisions in crop production highly pronounced in most developing countries including Nigeria, result in huge crop losses, human health challenges and environmental degradation, detrimental to sustainable agriculture, food sufficiency and security. Identifying the factors influencing pest management decisions among maize farming households and providing effective solutions by relevant stakeholders can reduce crop losses and reduce the harmful effect to human health and the environment due to harmful pest management practices. Purpose of the article: The research was carried out to determine the factors influencing pest management decisions among maize farming households in the Federal Capital Territory, Nigeria, in order to provide effective and appropriate solutions capable of enhancing pest management decisions and invariably reducing crop losses due to pests, as well as reduce the harmful effect to human health and the environment caused by harmful pest management and control practices. Methods: Multistage sampling technique was the sampling method used, where 324 maize farmers were correctly sampled as respondents for this study. Primary data were collected from the respondents using a well-structured questionnaire. The data were analysed using descriptive statistics and multinomial probit model. The multinomial probit model was used to identify factors that influence pest management decisions. Findings, value added & novelty: The study revealed the use of chemical pesticides as the most used pest management practice among maize farming households in the Federal Capital Territory, Nigeria, while the use of integrated pest management practices was about the least used. Also, result from multinomial probit analysis of the study showed that gender, access to extension services, age and level of education were significant factors that influenced pest management decisions. The study, therefore, recommends the need for relevant non-governmental organisations and government ministries/agencies to engage in the provision of educational facilities and incentives to crop farmers, more robust agricultural extension programmes, input subsidies and farmer field schools, targeted at enhancing pest management decisions in crop production, which can be vital to sustainable and maximized agricultural production, human health and the environment.

Suggested Citation

  • OBETEN, Wofai Onen & EBUKIBA, Elizabeth Samuel & OTITOJU, Moradeyo Adebanjo, 2022. "Factors Influencing Pest Management Decisions Among Maize Farming Households," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 25(1), March.
  • Handle: RePEc:ags:roaaec:320831
    DOI: 10.22004/ag.econ.320831
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/320831/files/RAAE_1_2022_Obeten_et_al.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.320831?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alabi, Omotayo Olugbenga & Lawal, Alimi Folorunsho & Coker, Ayodeji Alexander & Awoyinka, Yisau Akanfe, 2014. "Probit Model Analysis Of Smallholder’S Farmers Decision To Use Agrochemical Inputs In Gwagwalada And Kuje Area Councils Of Federal Capital Territory, Abuja, Nigeria," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 2(1), pages 1-9, January.
    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. Mujuka, Esther & Mburu, John & Ackello-Ogutu, Chris & Ambuko, Jane, 2021. "Willingness to Pay for Postharvest Technologies and Its Influencing Factors Among Smallholder Mango Farmers in Kenya," 2021 Conference, August 17-31, 2021, Virtual 315331, International Association of Agricultural Economists.
    2. Ruzzante, Sacha & Labarta, Ricardo & Bilton, Amy, 2021. "Adoption of agricultural technology in the developing world: A meta-analysis of the empirical literature," World Development, Elsevier, vol. 146(C).
    3. Siddique, S.T. & Kamruzzaman, M. & Sharna, S.C., 2020. "Comparative analysis of chickpea with boro rice in drought-prone areas of Bangladesh," International Journal of Agricultural Research, Innovation and Technology (IJARIT), IJARIT Research Foundation, vol. 10(2), December.

    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:ags:roaaec:320831. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/feuagsk.html .

    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.