IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v9y2017i3p128.html
   My bibliography  Save this article

Determinants of Use of Information and Communication Technologies in Agriculture: The Case of Kenya Agricultural Commodity Exchange in Bungoma County, Kenya

Author

Listed:
  • Amos Wawire
  • Sabina Wangia
  • Julius Okello

Abstract

Access to markets by Smallholder farmers has conventionally been constrained by lack of market information. Efforts to strengthen access of farmers to markets has triggered the mushrooming of several projects that embrace ICT tools in promoting access to competitive market information. Nevertheless, most farmers still lack access to accurate market information, such as existing commodity prices. This study examines the determinants of the use of ICT tools among smallholder farmers for agricultural transactions. The study uses Kenya Agricultural Commodity Exchange (KACE), one of the ICT-based marketing platform, as the case study. The objectives of the research are to determine the factors that influence access to agricultural information, and establishing factors that determine the intensity of use of ICT tools in accessing agricultural information. Survey was conducted among 136 smallholder farmers in Bungoma County. Both purposive, and multi-stage sampling were used to obtain the sample for this research. The study finds that several farmer characteristics, farm and capital endowment factors affect the use of ICT tools, particularly mobile phones. Gender, age, literacy level, affordability, perceived importance, mobile ownership and group membership were found to be significant in influencing the decision to use KACE ICT tools and the intensity of use of these tools for agricultural transaction activities. The study further recommends for policies that support the expansion of ICT projects, training on their applications and sensitization on the use of these platforms. The study suggests for policies to address gender disparities on access and use of ICT tools for agricultural transaction.

Suggested Citation

  • Amos Wawire & Sabina Wangia & Julius Okello, 2017. "Determinants of Use of Information and Communication Technologies in Agriculture: The Case of Kenya Agricultural Commodity Exchange in Bungoma County, Kenya," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 9(3), pages 128-128, February.
    • Handle: RePEc:ibn:jasjnl:v:9:y:2017:i:3:p:128
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/52141/35917
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/jas/article/view/52141
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    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. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    2. Riithi, Alexander Njuguna & Irungu, Patrick & Munei , Kimpei, 2015. "Determinants Of Choice Of Alternative Livelihood Diversification Strategies In Solio Resettlement Scheme, Kenya," Dissertations and Theses 269714, University of Nairobi, Department of Agricultural Economics.
    3. Mwololo, H. & Nzuma, J. & Ritho, C., 2018. "Is Agricultural Extension a Determinant of Farm Diversification - Evidence from Kenya," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277357, International Association of Agricultural Economists.
    4. Raul Caruso & Marco Di Domizio, 2013. "International hostility and aggressiveness on the soccer pitch: Evidence from European Championships and World Cups for the period 2000–2012," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 16(3), pages 262-273, September.
    5. Hossein Kavand & Marcel Voia, 2018. "Estimation of Health Care Demand and its Implication on Income Effects of Individuals," Springer Proceedings in Business and Economics, in: William H. Greene & Lynda Khalaf & Paul Makdissi & Robin C. Sickles & Michael Veall & Marcel-Cristia (ed.), Productivity and Inequality, pages 275-304, Springer.
    6. Rolfe, John & Gregg, Daniel, 2012. "Valuing Beach Recreation Across a Regional Area: The Great Barrier Reef in Australia," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124433, Australian Agricultural and Resource Economics Society.
    7. Keitometsi Ncube & Charlie M. Shackleton & Brent M. Swallow & Wijaya Dassanayake, 2016. "Impacts of HIV / AIDS on food consumption and wild food use in rural South Africa," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(6), pages 1135-1151, December.
    8. Donghwan Ki & Sugie Lee, 2019. "Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea," Sustainability, MDPI, vol. 11(15), pages 1-16, July.
    9. Alice M. Ellyson & Jevay Grooms & Alberto Ortega, 2022. "Flipping the script: The effects of opioid prescription monitoring on specialty‐specific provider behavior," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 297-341, February.
    10. Hensher, David A. & Wei, Edward & Liu, Wen & Balbontin, Camila, 2024. "Profiling future passenger transport initiatives to identify the growing role of active and micro-mobility modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    11. Majo, M.C., 2010. "A microeconometric analysis of health care utilization in Europe," Other publications TiSEM 1cf5fd2f-8146-4ef8-8eb5-e, Tilburg University, School of Economics and Management.
    12. Annette Alstadsæter & Salvador Barrios & Gaetan Nicodeme & Agnieszka Maria Skonieczna & Antonio Vezzani, 2018. "Patent boxes design, patents location, and local R&D," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(93), pages 131-177.
    13. Ravula, Prashanth & Bhatnagar, Amit & Gauri, Dinesh K, 2023. "Role of gender in the creation and persuasiveness of online reviews," Journal of Business Research, Elsevier, vol. 154(C).
    14. Berbegal-Mirabent, Jasmina & Sánchez García, José Luís & Ribeiro-Soriano, D. Enrique, 2015. "University–industry partnerships for the provision of R&D services," Journal of Business Research, Elsevier, vol. 68(7), pages 1407-1413.
    15. Klimek Artur, 2018. "Agglomeration Economies and Foreign Direct Investment in Advanced Business Services in Poland," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 54(1), pages 69-79, March.
    16. David E. Giles, 2022. "Some Consequences of Including Impulse-Indicator Dummy Variables in Econometric Models," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(2), pages 329-336, June.
    17. Kua Rittiboon & Phattrawan Tongkumchum, 2017. "Using linear regression to measure bird abundance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 1003-1013, June.
    18. Nandi O Leslie & Richard E Harang & Lawrence P Knachel & Alexander Kott, 2018. "Statistical models for the number of successful cyber intrusions," The Journal of Defense Modeling and Simulation, , vol. 15(1), pages 49-63, January.
    19. Sohrabi, Soheil & Paleti, Rajesh & Balan, Lacramioara & Cetin, Mecit, 2020. "Real-time prediction of public bike sharing system demand using generalized extreme value count model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 325-336.
    20. Amondo, Emily Injete, 2021. "Gender Gap in Health Outcomes Among the Rural Working Age Individuals: Does Weather Effects Play a Role?," 2021 Conference, August 17-31, 2021, Virtual 315096, International Association of Agricultural Economists.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:jasjnl:v:9:y:2017:i:3:p:128. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.