Do phone-based short message services improve the uptake of agri-met advice by farmers? A case study in Haryana, India

Climate Risk Management - Tập 33 - Trang 100321 - 2021
Upasna Sharma1, Priya Chetri1, Srishti Minocha2, Akashdeep Roy2, Tanushree Holker2, Anthony Patt3, Jonas Joerin4
1School of Public Policy, Indian Institute of Technology (IIT) Delhi, New Delhi, India
2Department of Humanities and Social Sciences, IIT Delhi, New Delhi, India
3Department of Environmental Systems Science, ETH Zürich, Switzerland
4Future Resilient Systems, Singapore-ETH Centre, Singapore

Tài liệu tham khảo

Aker, 2011, Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries, Agric. Econ., 42, 631, 10.1111/j.1574-0862.2011.00545.x Ali, 2011, Information and communication technologies (ICTs) and farmers’ decision-making across the agricultural supply chain, Int. J. Inf. Manage., 31, 149, 10.1016/j.ijinfomgt.2010.07.008 Babu, 2012, Farmers’ information needs and search behaviors, Int. Food Policy Res. Institute, 1165, 1 Bachhav, 2012 Balaji, V., Craufurd, P., 2011. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). 22. Benard, R., Dulle, F., Lamtane, H., 2019. Challenges associated with the use of information and communication technologies in information sharing by fish farmers in the Southern highlands of Tanzania. J. Inf., Commun. Ethics Soc. Bindlish, 1997, The impact of T&V extension in Africa: the experience of Kenya and Burkina Faso, World Bank Res. Observer, 183, 10.1093/wbro/12.2.183 Birthal, 2015, The impacts of information on returns from farming: evidence from a nationally representative farm survey in India, Agric. Econ., 46, 549, 10.1111/agec.12181 Bradshaw, 2004, Farm-level adaptation to climatic variability and change: crop diversification in the Canadian prairies, Clim. Change, 67, 119, 10.1007/s10584-004-0710-z Camacho, A., Conover, E., 2010. The Impact of Receiving Price and Climate Information in the Agricultural Sector. 32. Camacho, 2019, The impact of receiving SMS price and weather information on small scale farmers in Colombia, World Dev., 123, 104596, 10.1016/j.worlddev.2019.06.020 Casaburi, 2014 Cole, S.A., Fernando, A.N., 2016. ‘Mobile’izing Agricultural Advice: Technology Adoption, Di↵usion and Sustainability. 55. DACMTD. (n.d.). Haryana state farmer guide. Ministry of Agriculture Government of India. Retrieved February 25, 2021, from https://farmech.dac.gov.in/FarmerGuide/HR/index1.html Das, H. P. (2012).Agrometeorology in extreme events and natural disasters. CRC Press Inc. Dev, M. 2017. Small Farmers in India: Challenges and Opportunities. Retrieved March 2017, from IGIDR Working Paper: http://www.igidr.ac.in/pdf/publication/ WP-2012-014.pdf. De Silva, 2008 Deressa, 2009, Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia, Global Environ. Change, 19, 248, 10.1016/j.gloenvcha.2009.01.002 Donovan, 2017 Fafchamps, 2012, Impact of SMS-Based Agricultural Information on Indian Farmers, World Bank Econ. Rev., 26, 383, 10.1093/wber/lhr056 FAO. (2019). Handbook on climate information for farming communities: What farmers need and what is available. Feder, 2010, 187 Frisvold, 2013, Use of weather information for agricultural decision making, Weather Clim. Soc., 5, 55, 10.1175/WCAS-D-12-00022.1 George, 2011 ICAR. (n.d. (a)). Haryana state specific interventions for higher agricultural growth. Ministry of Agriculture and Farmers Welfare Retrieved February 25 from 2021 https://icar.org.in/files/state-specific/chapter/53.htm. ICAR. (n.d. (b)). Haryana. Ministry of Agriculture and Farmers Welfare Retrieved February 25 from 2021 https://icar.org.in/files/state-specific/chapter/52.htm. IPCC. (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1132 pp. Jagadeesha, 2010, Adoption of agromet advisory services (AAS) for improving livelihood of rural farmers, International Journal of Agricultural Sciences, 6, 584 Karanja, L., Gakuo, S., Kansiime, M., Romney, D., Mibei, H., Watiti, J., Karanja, D., 2020. Impacts and Challenges of ICT Based Scale-up Campaigns: Lessons Learnt from the Use of SMS to Support Maize Farmers in the UPTAKE Project, Tanzania.Data Sci. J., 19(1). Khan, 2009, Climate change, climate variability and Indian agriculture: impacts vulnerability and adaptation strategies, 19 Maini, 2011, Economic impact assessment of the Agrometeorological Advisory Service of India, Curr. Sci., 101, 1296 Maredia, 2018, Can mobile phone-based animated videos induce learning and technology adoption among low-literate farmers? A field experiment in Burkina Faso, Inf. Technol. Develop., 24, 429, 10.1080/02681102.2017.1312245 McKinsey Global Institute (2019). Digital India. Accessed from https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Digital/Our%20Insights/Digital%20India%20Technology%20to%20transform%20a%20connected%20nation/MGI-Digital-India-Report-April-2019.pdf [Accessed on 25 Feb. 2021]. Meera, S. N., Jhamtani, A., Rao, D. U. M., 2004. Information and communication technology in agricultural development: A comparative analysis of three projects from India.Network Paper No,135. Melkote, 1988, Agricultural extension and the small farmer: revealing the communication gap in an extension project in Kenya, J. Develop. Areas, 239 Mittal, S. (2012). Modern ICT for agricultural development and risk management in smallholder agriculture in India (working paper no. 3). Mexico, DF: CIMMYT. Molua, 2002, Climate variability, vulnerability and effectiveness of farm-level adaptation options: the challenges and implications for food security in Southwestern Cameroon, Environ. Dev. Econ., 7, 529, 10.1017/S1355770X02000311 Nesheim, 2017, What Is the role of agro-met information services in farmer decision-making? uptake and decision-making context among farmers within three case study villages in Maharashtra, India, Agriculture, 7, 70, 10.3390/agriculture7080070 Ohlan, R. (2012). Performance and Suitability of Growing Crops in Haryana: District-level Analysis.Available at SSRN 2798010. http://eands.dacnet.nic.in/Publication12-12-2012/2314agr-apri12/2314-1.pdf. Pannell, 2006, Understanding and promoting adoption of conservation practices by rural landholders, Aust. J. Exp. Agric., 46, 1407, 10.1071/EA05037 Raghuprasad, K., Bharatesh, M., Dechamma, S., Devaraj, K. (2016). Attitude of Farmers About Use of ICT Tools in Farm Communication. No. 3305836, Proceedings of International Academic Conferences. International Institute of Social and Economic Sciences. Roncoli, 2002, Reading the rains: local knowledge and rainfall forecasting in Burkina Faso, Soc. Nat. Resour., 15, 409, 10.1080/08941920252866774 Salite, 2019, Traditional prediction of drought under weather and climate uncertainty: analyzing the challenges and opportunities for small-scale farmers in Gaza province, southern region of Mozambique, Nat. Hazards, 96, 1289, 10.1007/s11069-019-03613-4 Saxena, 2015, Economic impact analysis of weather based agromet advisories on crops under climate change scenario, J. Progr. Agric., 6, 100 Shiang-Yen, T., Wei, L. H., Osman, M. A., & Malim, N. (2012). Exploring the potential of applying information and communication technology among the farming community in Malaysia. 2, 842–845. Soyemi, 2018, A Web-based Decision Support System with SMS-based Technology for Agricultural Information and Weather Forecasting, Int. J. Comp. Appl., 180, 1 Stigter, C.J., 2011. Agrometeorological services: Reaching all farmers with operational information products in new educational commitments(No. 104). World Meteorological Organization. Vashisth, 2013, Weather based agromet advisories for enhancing the production and income of the farmers under changing climate scenario, Int. J. Agric. Food Sci. Technol., 4, 847 Wang, 2009, Irrigation scheduling—role of weather forecasting and farmers’ behavior, J. Water Resour. Plann. Manage., 135, 364, 10.1061/(ASCE)0733-9496(2009)135:5(364) Wood, 2014, Smallholder farmer cropping decisions related to climate variability across multiple regions, Global Environ. Change, 25, 163, 10.1016/j.gloenvcha.2013.12.011 Wyche, 2016, Why don’t farmers use cell phones to access market prices? technology affordances and barriers to market information services adoption in Rural Kenya, Inf. Technol. Develop., 22, 320, 10.1080/02681102.2015.1048184 Zuma-Netshiukhwi, 2013, Use of traditional weather/climate knowledge by farmers in the South-western Free State of South Africa: Agrometeorological learning by scientists, Atmosphere, 4, 383, 10.3390/atmos4040383