Learning from experts and peer farmers about rice production: Experimental evidence from Cote d’Ivoire
Tài liệu tham khảo
Advani, 2018, Credibly identifying social effects: Accounting for network formation and measurement error, Journal of Economic Survey, 32, 1016, 10.1111/joes.12256
Angrist, 2008
Attanasio, 2012, Risk pooling, risk preferences, and social networks, American Economic Journal: Applied Economics, 4, 134
Bachewe, 2018, Agricultural transformation in Africa? Assessing the evidence in Ethiopia, World Development, 105, 286, 10.1016/j.worlddev.2017.05.041
Bandiera, 2006, Social networks and technology adoption in northern Mozambique, Economic Journal, 116, 869, 10.1111/j.1468-0297.2006.01115.x
Barrett, 2018, The processes of structural transformation of African agriculture and rural spaces, World Development, 105, 283, 10.1016/j.worlddev.2018.02.019
Beaman, 2018, Diffusion of agricultural information within social networks: Evidence on gender inequalities from Mali, Journal of Development Economics, 133, 147, 10.1016/j.jdeveco.2018.01.009
Benjamini, 2006, Adaptive linear step-up procedures that control the false discovery rate, Biometrika, 93, 491, 10.1093/biomet/93.3.491
BenYishay, 2018, Social learning and incentive for experimentation and communication, Review of Economic Studies
Conley, 2010, Learning about a new technology: Pineapples in Ghana, American Economic Review, 100, 35, 10.1257/aer.100.1.35
David, 1994
Dawson, 2016, Green revolution in sub-Saharan Africa: Implications of imposed innovation for the wellbeing of rural smallholders, World Development, 78, 204, 10.1016/j.worlddev.2015.10.008
Evenson, 2003, Assessing the impact of the green revolution, 1960 to 2000, Science, 300, 758, 10.1126/science.1078710
Fafchamps, 2007, The formation of risk sharing networks, Journal of Development Economics, 83, 326, 10.1016/j.jdeveco.2006.05.005
Feder, 2004, The acquisition and diffusion of knowledge: The case of pest management training in farmer field schools, Indonesia, Journal of Agricultural Economics, 55, 221, 10.1111/j.1477-9552.2004.tb00094.x
Foster, 1995, Learning by doing and learning from others: Human capital and technical change in agriculture, Journal of Political Economy, 103, 1176, 10.1086/601447
Kondylis, 2017, Seeing is believing? Evidence from an extension network experiment, Journal of Development Economics, 125, 1, 10.1016/j.jdeveco.2016.10.004
Kremer, 2007, The illusion of sustainability, Quarterly Journal of Economics, 132, 1007, 10.1162/qjec.122.3.1007
Krishnan, 2014, Neighbors and extension agents in Ethiopia: Who matters more for technology adoption?, American Journal of Agricultural Economics, 96, 308, 10.1093/ajae/aat017
Macours, 2019, Farmers’ demand and the traits and diffusion of agricultural innovations in developing countries, Annual Review of Resource Economics, 10.1146/annurev-resource-100518-094045
Maertens, 2017, Who cares what others think (or do)? Social learning and social pressures in cotton farming in India, American Journal of Agricultural Economics, 99, 988, 10.1093/ajae/aaw098
Maertens, 2013, Measuring social networks’ effects on agricultural technology adoption, American Journal of Agricultural Economics, 95, 353, 10.1093/ajae/aas049
Manski, 1993, Identification of endogenous social effects: The reflection problem, Review of Economics Studies, 60, 531, 10.2307/2298123
McKenzie, 2012, Beyond baseline and follow-up: The case for more T in experiments, Journal of Development Economics, 99, 210, 10.1016/j.jdeveco.2012.01.002
Mekonnen, 2018, Gendered social networks, agricultural innovations, and farm productivity in Ethiopia, World Development, 105, 321, 10.1016/j.worlddev.2017.04.020
Munshi, 2004, Social learning in a heterogeneous population: Technology diffusion in the Indian green revolution, Journal of Development Economics, 73, 185, 10.1016/j.jdeveco.2003.03.003
Murendo, 2018, Social network effects on mobile money adoption in Uganda, Journal of Development Studies, 54, 327, 10.1080/00220388.2017.1296569
Nakano, 2018, Impact of training on the intensification of rice farming: Evidence from rain-fed areas in Tanzania, Agricultural Economics, 49, 193, 10.1111/agec.12408
Nakano, 2018, Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania, World Development, 105, 336, 10.1016/j.worlddev.2017.12.013
2013
2016
Oster, 2012, Determinants of technology adoption: Private value and peer effects in menstrual cup take-up, Journal of the European Economic Association, 10, 1263, 10.1111/j.1542-4774.2012.01090.x
Ragasa, 2017, Limits to green revolution in rice in Africa: The case of Ghana, Land Use Policy, 66, 304, 10.1016/j.landusepol.2017.04.052
Ragasa, 2018, The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi, World Development, 105, 25, 10.1016/j.worlddev.2017.12.004
Shikuku, 2019, Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda, World Development, 115, 94, 10.1016/j.worlddev.2018.11.012
Takahashi, 2019, Does index insurance crowd in or crowd out informal risk sharing? Evidence from rural Ethiopia, American Journal of Agricultural Economics, 101, 672, 10.1093/ajae/aay042
Tripp, 2005, What should we expect from farmer field schools? A Sri Lanka case study, World Development, 33, 1705, 10.1016/j.worlddev.2005.04.012
Wooldridge, 2010