IDEAS home Printed from https://ideas.repec.org/a/ibn/jsd123/v12y2024i2p1.html

Mobile Based Agriculture and Climate Services Impact on Farming Households in Rural Kenya

Author

Listed:
  • Lilian Muasa
  • Hirotaka Matsuda

Abstract

Rural farming households in semi-arid regions in Kenya are vulnerable to climate change impacts due to overreliance on rain fed agriculture and low adaptive capacity. Farming households’ adaptive capacity development is detrimental to enable them cope with short and long term impacts. Information Communication and Technology (ICTS) play an essential role in adaptive capacity development by ensuring access to information and knowledge related to agriculture and climate. The mobile phone is one of dominant ICT tool with wider ownership and promising technology for information accessibility. The increasing mobile penetration rate in Kenya has initiated the development of a wide range of agricultural related mobile phone services and applications targeting rural households to increase their agricultural productivity and strengthen their adaptive capacity in the face of climate change. This study examines households use and benefit from the developed mobile phone services and applications to access information related to agriculture and climate change. Using data of 120 households’ multinomial probit analysis is applied to identify factors that determine the adoption of the mobile phone. Findings reveled that through developed mobile phone services and applications, Kenyan rural households are able to access; mobile money banking, extension services, obtain credit, agriculture information, weather information and market information. Access to these services increases household capacity and reduce information asymmetry. Feature phone and smart phones are the types of mobile phone used across households. Multinomial probit analysis elicits that probability of feature phone adoption increases with a decrease in household income while that of smart phone increases on male headed households, increases with an increase in household income and accessibility to credit.

Suggested Citation

  • Lilian Muasa & Hirotaka Matsuda, 2024. "Mobile Based Agriculture and Climate Services Impact on Farming Households in Rural Kenya," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 12(2), pages 1-1, July.
  • Handle: RePEc:ibn:jsd123:v:12:y:2024:i:2:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jsd/article/download/0/0/38982/39730
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jsd/article/view/0/38982
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    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. Hui Yang & Jingye Li & Stefan Sieber & Kaisheng Long, 2025. "Does Digital Village Construction Affect the Sustainable Intensification of Cultivated Land Use? Evidence from Rural China," Agriculture, MDPI, vol. 15(9), pages 1-24, April.
    2. Gershom Endelani Mwalupaso & Shangao Wang & Sanzidur Rahman & Essiagnon John-Philippe Alavo & Xu Tian, 2019. "Agricultural Informatization and Technical Efficiency in Maize Production in Zambia," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    3. Pallavi Rajkhowa & Heike Baumüller, 2024. "Assessing the potential of ICT to increase land and labour productivity in agriculture: Global and regional perspectives," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 477-503, June.
    4. Karmen Erjavec & Marjan Janžekovič & Milena Kovač & Mojca Simčič & Andrej Mergeduš & Dušan Terčič & Marija Klopčič, 2021. "Changes in Use of Communication Channels by Livestock Farmers during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
    5. Lee, Guenwoo & Suzuki, Aya & Kim, Yu Ri, 2021. "The Role of Agricultural Market Information on Farmers' Agricultural Outcomes: Evidence from Smallholder Coffee Producers in Ethiopia," Discussion paper series HIAS-E-110, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    6. Pelucha, Martin & Shemetev, Alexander, 2025. "Unravelling the link between land use policy and digital infrastructure: Insights from Czech rural communities," Land Use Policy, Elsevier, vol. 150(C).
    7. repec:ags:aaea21:338773 is not listed on IDEAS
    8. 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.
    9. Aimable Nsabimana & Patricia Funjika, 2019. "Mobile phone use, productivity and labour market in Tanzania," WIDER Working Paper Series wp-2019-71, World Institute for Development Economic Research (UNU-WIDER).
    10. Evans, Olaniyi, 2018. "Digital Agriculture: Mobile Phones, Internet & Agricultural Development in Africa," MPRA Paper 90359, University Library of Munich, Germany.
    11. Malm, Meagan K. & Toyama, Kentaro, 2021. "The burdens and the benefits: Socio-economic impacts of mobile phone ownership in Tanzania," World Development Perspectives, Elsevier, vol. 21(C).
    12. Lin Tang & Xiaofeng Luo & Yanzhong Huang & Sanxia Du & Aqian Yan, 2023. "Can smartphone use increase farmers’ willingness to participate in the centralized treatment of rural domestic sewage? Evidence from rural China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3379-3403, April.
    13. Chelanga, Philemon & Jensen, Nathaniel & Muendo, Kavoi Mutuku, . "Pastoral livestock market integration amidst improvements in physical and communication infrastructure: Evidence from northern Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(4).
    14. Min, Shi & Liu, Min & Huang, Jikun, 2020. "Does the application of ICTs facilitate rural economic transformation in China? Empirical evidence from the use of smartphones among farmers," Journal of Asian Economics, Elsevier, vol. 70(C).
    15. Keshmeer Makun & Rup Singh & Sumeet Lal & Ronal Chand, 2022. "Information and communications technology, health, and gender equality: Empirical evidence from a panel of Pacific developing economies," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-18, June.
    16. Yi Cai & Wene Qi & Famin Yi, 2023. "Smartphone use and willingness to adopt digital pest and disease management: Evidence from litchi growers in rural China," Agribusiness, John Wiley & Sons, Ltd., vol. 39(1), pages 131-147, January.
    17. Omulo, Godfrey & Kumeh, Eric Mensah, 2020. "Farmer-to-farmer digital network as a strategy to strengthen agricultural performance in Kenya: A research note on ‘Wefarm’ platform," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    18. Sekabira, Haruna & Qaim, Matin, 2017. "Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda," Food Policy, Elsevier, vol. 73(C), pages 95-103.
    19. Gershom Endelani Mwalupaso & Shangao Wang & Aseres Mamo Eshetie & Xu Tian, 2020. "Ameliorating Food and Nutrition Security in Farm Households: Does Informatization Matter?," Sustainability, MDPI, vol. 12(2), pages 1-20, January.
    20. Bjorn Van Campenhout, 2022. "ICTs to address information inefficiencies in food supply chains," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 968-975, November.
    21. Jenny Aker & Joel Cariolle, 2022. "The Use of Digital for Public Service Provision in Sub-Saharan Africa," Post-Print hal-03003899, HAL.

    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:jsd123:v:12:y:2024:i:2:p:1. 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.