Smallholder farmers' use of mobile phone services in central Kenya

References

• Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268–281. https://doi.org/10.1016/j.gloenvcha.2006.02.006
   Google Scholar
• Appelbaum, S. H. (1990). Computerphobia: Training managers to reduce the fears and love the machines. Industrial and Commercial Training, 22(6). https://doi.org/10.1108/00197859010143165
   Google Scholar
• Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using LME4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
   Google Scholar
• Baumüller, H. (2013). Mobile technology trends and their potential for agricultural development (ZEF Working Paper 123).
   Google Scholar
• Baumüller, H. (2015). Assessing the role of mobile phones in offering price information and market linkages: The case of M-Farm in Kenya. The Electronic Journal of Information Systems in Developing Countries, 68(1), 1–16. https://doi.org/10.1002/(ISSN)1681-4835 doi: 10.1002/j.1681-4835.2015.tb00492.x
   Google Scholar
• Baumüller, H. (2018). The little we know: An exploratory literature review on the utility of mobile phone-enabled services for smallholder farmers. Journal of International Development, 30(1), 134–154. https://doi.org/10.1002/jid.v30.1 doi: 10.1002/jid.3314
   Google Scholar
• Braimok, T. (2017). Exploring the opportunities and challenges of ICTs for women farmers in Kenya [Unpublished master's thesis]. Swedish University of Agricultural Sciences.
   Google Scholar
• Bryan, E., Deressa, T. T., Gbetibouo, G. A., & Ringler, C. (2009). Adaptation to climate change in Ethiopia and South Africa: Options and constraints. Environmental Science & Policy, 12(4), 413–426. https://doi.org/10.1016/j.envsci.2008.11.002
   Google Scholar
• Burrell, J., & Oreglia, E. (2015). The myth of market price information: Mobile phones and the application of economic knowledge in ICTD. Economy and Society, 44(2), 271–292. https://doi.org/10.1080/03085147.2015.1013742
   Google Scholar
• Caine, A., Dorward, P., Clarkson, G., Evans, N., Canales, C., & Stern, D. (2015). Review of mbbile applications that involve the use of weather and climate information: Their use and potential for smallholder farmers. (CCAFS Working Paper no. 150, Tech. Rep.). CGIAR Reserch Program on Climate Change, Agriculture and Food Security (CCAFS). www.ccafs.cgiar.org.
   Google Scholar
• Camacho, A., & Conover, E. (2011). Manipulation of social program eligibility. American Economic Journal: Economic Policy, 3(2), 41–65. https://doi.org/10.1257/pol.3.2.41
   Google Scholar
• Cheney, C. (2018). Want to reach the world's poorest? design for dumb phones. https://www.devex.com/news/want-to-reach-the-world-s-poorest-design-for-dumb-phones-90993.
   Google Scholar
• Communications Authority of Kenya (2018). Third quarterly sector statistics report for the financial year 2017/2018 (1st January–31st March 2018) (Tech. Rep.). Communications Authority of Kenya.
   Google Scholar
• Crandall, A. (2012). Kenyan farmers' use of cell phones: Calling preferred over SMS. Proceedings of M4D 2012 28-29 February 2012 New Delhi, India 28 (29) 119.
   Google Scholar
• David, S., Nigel, S., Christopher, G., Jain, R., & Ophelia, M. (2005). The economic impact of telecommunications on rural livelihoods and poverty reduction: A study of rural communities in India (Gujarat), Mozambique and Tanzania (IIMA Working Papers WP2005-11-04).
   Google Scholar
• Donovan, K. (2017). Anytime, anywhere: Mobile devices and services and their impact on agriculture and rural development. In ICT in agriculture (Updated Edition): Connecting smallholders to knowledge, networks, and institutions (pp. 49–70). https://doi.org/10.1596/978-1-4648-1002-2_Module3.
   Google Scholar
• Eakin, H., Wightman, P. M., Hsu, D., Gil Ramón, V. R., Fuentes-Contreras, E., Cox, M. P., Hyman, T.-A. N., Pacas, C., Borraz, F., González-Brambila, C., Ponce de León Barido, D., & Kammen, D. M. (2015). Information and communication technologies and climate change adaptation in Latin America and the Caribbean: A framework for action. Climate and Development, 7(3), 208–222. https://doi.org/10.1080/17565529.2014.951021
   Google Scholar
• Fafchamps, M., & Minten, B. (2012). Impact of SMS-based agricultural information on Indian farmers. The World Bank Economic Review, 26(3), 383–414. https://doi.org/10.1093/wber/lhr056
   Google Scholar
• Fawcett, D., Pearce, T., Ford, J. D., & Archer, L. (2017). Operationalizing longitudinal approaches to climate change vulnerability assessment. Global Environmental Change, 45, 79–88. https://doi.org/10.1016/j.gloenvcha.2017.05.002
   Google Scholar
• Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, 33(2), 255–298. https://doi.org/10.1086/451461
   Google Scholar
• Feder, G., & Umali, D. L. (1993). The adoption of agricultural innovations: A review. Technological Forecasting and Social Change, 43(3–4), 215–239. https://doi.org/10.1016/0040-1625(93)90053-A
   Google Scholar
• Fischer, E., & Qaim, M. (2012). Linking smallholders to markets: Determinants and impacts of farmer collective action in Kenya. World Development, 40(6), 1255–1268. https://doi.org/10.1016/j.worlddev.2011.11.018
   Google Scholar
• Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21(4), 389–400. https://doi.org/10.2307/249720
   Google Scholar
• GSMA (2016). The mobile economy. Africa 2016 (Tech. Rep.).
   Google Scholar
• Hansen, J. W., Baethgen, W. E., Osgood, D. E., Ceccato, P. N., & Ngugi, R. K. (2007). Innovations in climate risk management: Protecting and building rural livelihoods in a variable and changing climate. Journal of Semi-Arid Tropical Agricultural Research, 4. https://doi.org/10.7916/D8ZW1S4C
   Google Scholar
• Highet, C., Skelly, H., & Tyers, A. (2017, October). Gender and information technology (ICT) survey toolkit (Tech. Rep.). USAID.
   Google Scholar
• IPCC (2007). Climate change 2007: Impacts, adaptation and vulnerability: Contribution of working group ii to the fourth assessment report of the IPCC (Vol. 4). Cambridge University Press.
   Google Scholar
• International Telecommunication Union, World Telecommunication/ICT Development Report and database (2018). Mobile cellular subscriptions (per 100 people) [Data file]. https://data.worldbank.org/indicator/IT.CEL.SETS.P2
   Google Scholar
• Jahnke, H. E. (1982). Livestock production systems and livestock development in tropical Africa (Vol. 35). Kieler Wissenschaftsverlag Vauk.
   Google Scholar
• Karlsson, M., Penteniari, G., & Croxson, H. (2017). Accelerating affordable smartphone ownership in emerging markets (Tech. Rep.). GSMA.
   Google Scholar
• Kassie, M., Jaleta, M., Shiferaw, B., Mmbando, F., & Mekuria, M. (2013). Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania. Technological Forecasting and Social Change, 80(3), 525–540. https://doi.org/10.1016/j.techfore.2012.08.007
   Google Scholar
• Katz, E., & Barandun, A. (2002). Innovative approaches to financing extension for agriculture and natural resource management. LBL, Swiss Center for Agricultural Extension.
   Google Scholar
• Kebede, Y. (1992). Risk taking behaviour and new technologies: The case of producers in the central highlands of Ethiopia. Quarterly Journal of International Agriculture, 31, 269–269.
   Google Scholar
• Kenya Bureau of Statistics Economic Survey (2017). Economic survey 2017 (Tech. Rep.). National Bureau of Statistics.
   Google Scholar
• Lopus, S., McCord, P., Gower, D., & Evans, T. (2017). Drivers of farmer satisfaction with small-scale irrigation systems. Applied Geography, 89, 77–86. https://doi.org/10.1016/j.apgeog.2017.10.004
   Google Scholar
• Marenya, P. P., & Barrett, C. B. (2007). Household-level determinants of adoption of improved natural resources management practices among smallholder farmers in western Kenya. Food Policy, 32(4), 515–536. https://doi.org/10.1016/j.foodpol.2006.10.002
   Google Scholar
• Markelova, H., Meinzen-Dick, R., Hellin, J., & Dohrn, S. (2009). Collective action for smallholder market access. Food Policy, 34(1), 1–7. https://doi.org/10.1016/j.foodpol.2008.10.001
   Google Scholar
• Markelova, H., & Mwangi, E. (2010). Collective action for smallholder market access: Evidence and implications for Africa. Review of Policy Research, 27(5), 621–640. https://doi.org/10.1111/ropr.2010.27.issue-5 doi: 10.1111/j.1541-1338.2010.00462.x
   Google Scholar
• McCord, P., Dell'angelo, J., Gower, D., Caylor, K., & Evans, T. (2017). Household-level heterogeneity of water resources within common-pool resource systems. Ecology and Society, 22(1). https://doi.org/10.5751/ES-09156-220148
   Google Scholar
• McNutt, P. (1999). Public goods and club goods. Encyclopedia of Law and Economics, 1, 927–951.
   Google Scholar
• Meso, P., Musa, P., & Mbarika, V. (2005). Towards a model of consumer use of mobile information and communication technology in LDCs: The case of sub-Saharan Africa. Information Systems Journal, 15(2), 119–146. https://doi.org/10.1111/isj.2005.15.issue-2 doi: 10.1111/j.1365-2575.2005.00190.x
   Google Scholar
• Mittal, S., Gandhi, S., & Tripathi, G. (2010). Socio-economic impact of mobile phones on Indian agriculture (Tech. Rep. Working paper, No. 246). Indian Council for Research on International Economic Relations (ICRIER).
   Google Scholar
• Mittal, S., & Mehar, M. (2016). Socio-economic factors affecting adoption of modern information and communication technology by farmers in India: Analysis using multivariate probit model. The Journal of Agricultural Education and Extension, 22(2), 199–212. https://doi.org/10.1080/1389224X.2014.997255
   Google Scholar
• Moser, C. O. (1998). The asset vulnerability framework: Reassessing urban poverty reduction strategies. World Development, 26(1), 1–19. https://doi.org/10.1016/S0305-750X(97)10015-8
   Google Scholar
• Muyanga, M., & Jayne, T. (2008). Private agricultural extension system in Kenya: Practice and policy lessons. The Journal of Agricultural Education and Extension, 14(2), 111–124. https://doi.org/10.1080/13892240802019063
   Google Scholar
• Mwesige, P. G. (2004). Cyber elites: A survey of internet café users in Uganda. Telematics and Informatics, 21(1), 83–101. https://doi.org/10.1016/S0736-5853(03)00024-8
   Google Scholar
• Naidoo, S., London, L., Burdorf, A., Naidoo, R. N., & Kromhout, H. (2008). Agricultural activities, pesticide use and occupational hazards among women working in small scale farming in Northern KwaZulu-Natal, South Africa. International Journal of Occupational and Environmental Health, 14(3), 218–224. https://doi.org/10.1179/oeh.2008.14.3.218
   Google Scholar
• Narrod, C., Roy, D., Okello, J., Avendaão, B., Rich, K., & Thorat, A. (2009). Public–private partnerships and collective action in high value fruit and vegetable supply chains. Food Policy, 34(1), 8–15. https://doi.org/10.1016/j.foodpol.2008.10.005
   Google Scholar
• Ogalleh, S., Vogl, C., Eitzinger, J., & Hauser, M. (2012). Local perceptions and responses to climate change and variability: The case of Laikipia district, Kenya. Sustainability, 4(12), 3302–3325. https://doi.org/10.3390/su4123302
   Google Scholar
• Ogutu, S. O., Okello, J. J., & Otieno, D. J. (2014). Impact of information and communication technology-based market information services on smallholder farm input use and productivity: The case of Kenya. World Development, 64, 311–321. https://doi.org/10.1016/j.worlddev.2014.06.011
   Google Scholar
• Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 25(4), 401–426. https://doi.org/10.2307/3250989
   Google Scholar
• Porter, G., Hampshire, K., Abane, A., Munthali, A., Robson, E., Mashiri, M., & Tanle, A. (2012). Youth, mobility and mobile phones in Africa: Findings from a three-country study. Information Technology for Development, 18(2), 145–162. https://doi.org/10.1080/02681102.2011.643210
   Google Scholar
• Python Software Foundation (2019). Python language reference. http://www.python.org.
   Google Scholar
• Qiang, C. Z., Kuek, S. C., Dymond, A., & Esselaar, S. (2012). Mobile applications for agriculture and rural development (Tech. Rep.). World Bank.
   Google Scholar
• Qualtrics (2019). Qualtrics. https://www.qualtrics.com.
   Google Scholar
• Santosham, S., & Lindsey, D. (2015). Bridging the gender gap: Mobile access and usage in low-and middle-income countries (Tech. Rep.). GSMA.
   Google Scholar
• Smit, B., & Wandel, J. (2006). Adaptation, adaptive capacity and vulnerability. Global Environmental Change, 16(3), 282–292. https://doi.org/10.1016/j.gloenvcha.2006.03.008
   Google Scholar
• Srinivasan, J., & Burrell, J. (2013, December). Revisiting the fishers of Kerala, India. ICTD 2013: International conference on information and communication technologies and development (pp. 56–66). Cape Town, South Africa.
   Google Scholar
• Thiga, M., & Ndungu, S. (2015, May 6–8). Utilization of ICT for agriculture: A case study of Kakamega county, Kenya. 2015 IST-Africa conference (pp. 1–9). Lilongwe, Malawi. https://doi.org/10.1109/ISTAFRICA.2015.7190569.
   Google Scholar
• Waters, J., & Adger, W. N. (2017). Spatial, network and temporal dimensions of the determinants of adaptive capacity in poor urban areas. Global Environmental Change, 46, 42–49. https://doi.org/10.1016/j.gloenvcha.2017.06.011
   Google Scholar
• Wiesmann, U. (1998). Sustainable regional development in rural africa: Conceptual framework and case studies from Kenya. University of Berne Switzerland, Institute of Geography.
   Google Scholar
• World Bank Group (2018, October). Information and communications for development: Data-driven development (Tech. Rep. No. 128301). World Bank.
   Google Scholar
• Wyche, S., & Murphy, L. L. (2012, June). Dead China-make phones off the grid: Investigating and designing for mobile phone use in rural Africa. Proceedings of the designing interactive systems conference (pp. 186–195). Newcastle Upon Tyne, United Kingdom.
   Google Scholar
• Wyche, S., & Olson, J. (2018). Gender, mobile, and mobile internet – Kenyan women's rural realities, mobile internet access, and “Africa rising”. Information Technologies & International Development, 14, 15.
   Google Scholar
• Wyche, S., Simiyu, N., & Othieno, M. E. (2019). Understanding women's mobile phone use in rural Kenya: An affordance-based approach. Mobile Media & Communication, 7(1), 94–110. https://doi.org/10.1177/2050157918776684
   Google Scholar
• Wyche, S., & Steinfield, C. (2016). Why Don't farmers use cell phones to access market prices? Technology affordances and barriers to market information services adoption in rural Kenya. Information Technology for Development, 22(2), 320–333. https://doi.org/10.1080/02681102.2015.1048184
   Google Scholar