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Technology adoption by resource-poor farmers: considering the implications of peak-season labor costs

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  • White, Douglas S.
  • Labarta, Ricardo A.
  • Leguia, Efrain J.

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  • White, Douglas S. & Labarta, Ricardo A. & Leguia, Efrain J., 2005. "Technology adoption by resource-poor farmers: considering the implications of peak-season labor costs," Agricultural Systems, Elsevier, vol. 85(2), pages 183-201, August.
    • Handle: RePEc:eee:agisys:v:85:y:2005:i:2:p:183-201
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    3. Elad, Renata L. & Houston, Jack. E., 2002. "Seasonal labor constraints and intra-household dynamics in the female fields of southern Cameroon," Agricultural Economics, Blackwell, vol. 27(1), pages 23-32, May.
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    7. Binswanger, Hans P & von Braun, Joachim, 1991. "Technological Change and Commercialization in Agriculture: The Effect on the Poor," The World Bank Research Observer, World Bank, vol. 6(1), pages 57-80, January.
    8. de Janvry, Alain & Fafchamps, Marcel & Sadoulet, Elisabeth, 1991. "Peasant Household Behaviour with Missing Markets: Some Paradoxes Explained," Economic Journal, Royal Economic Society, vol. 101(409), pages 1400-1417, November.
    9. de Janvry, Alain & Fafchamps, M. & Sadoulet, Elisabeth, 1991. "Peasant Household Behavior with Missing Markets: Some Paradoxes Explain," CUDARE Working Papers 198579, University of California, Berkeley, Department of Agricultural and Resource Economics.
    10. Bernet, T. & Ortiz, O. & Estrada, R. D. & Quiroz, R. & Swinton, S. M., 2001. "Tailoring agricultural extension to different production contexts: a user-friendly farm-household model to improve decision-making for participatory research," Agricultural Systems, Elsevier, vol. 69(3), pages 183-198, September.
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    2. Tavella, Elena, 2016. "How to make Participatory Technology Assessment in agriculture more “participatory”: The case of genetically modified plants," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 119-126.
    3. Graf, Sarah Lena & Oya, Carlos, 2021. "Is the system of rice intensification (SRI) pro poor? Labour, class and technological change in West Africa," Agricultural Systems, Elsevier, vol. 193(C).
    4. Rick S. Llewellyn & Brendan Brown, 2020. "Predicting Adoption of Innovations by Farmers: What is Different in Smallholder Agriculture?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 100-112, March.
    5. Affholder, François & Jourdain, Damien & Quang, Dang Dinh & Tuong, To Phuc & Morize, Marion & Ricome, Aymeric, 2010. "Constraints to farmers' adoption of direct-seeding mulch-based cropping systems: A farm scale modeling approach applied to the mountainous slopes of Vietnam," Agricultural Systems, Elsevier, vol. 103(1), pages 51-62, January.
    6. Takeshima, Hiroyuki, 2014. "Importance of rice research and development in rice seed policies: Insights from Nigeria:," IFPRI discussion papers 1343, International Food Policy Research Institute (IFPRI).
    7. Le Gal, P.-Y. & Dugué, P. & Faure, G. & Novak, S., 2011. "How does research address the design of innovative agricultural production systems at the farm level? A review," Agricultural Systems, Elsevier, vol. 104(9), pages 714-728.
    8. Pannell, David J. & Llewellyn, Rick S. & Corbeels, Marc, 2013. "The farm-level economics of conservation agriculture for resource-poor farmers," Working Papers 166526, University of Western Australia, School of Agricultural and Resource Economics.
    9. Okello, Julius J. & Kwikiriza, Norman & Kakuhenire, Rogers & Parker, Monica & Schulte-Geldermann, Elmar & Pambo, Kennedy, 2015. "Micro and meso-level issues affecting potato production and marketing in the tropical highlands of Sub-Saharan Africa: The known and the unknowns," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205464, Agricultural and Applied Economics Association.
    10. Rebecca Schewe & Diana Stuart, 2015. "Diversity in agricultural technology adoption: How are automatic milking systems used and to what end?," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(2), pages 199-213, June.
    11. Janssen, Sander J.C. & van Ittersum, Martin K., 2007. "Assessing farmer behaviour as affected by policy and technological innovations: bio-economic farm models," Reports 9293, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    12. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    13. Sulav Paudel & Lalit P. Sah & Mukti Devkota & Vijaya Poudyal & P.V. Vara Prasad & Manuel R. Reyes, 2020. "Conservation Agriculture and Integrated Pest Management Practices Improve Yield and Income while Reducing Labor, Pests, Diseases and Chemical Pesticide Use in Smallholder Vegetable Farms in Nepal," Sustainability, MDPI, vol. 12(16), pages 1-16, August.
    14. Labarta, Ricardo A. & White, Douglas S. & Swinton, Scott M., 2008. "Does Charcoal Production Slow Agricultural Expansion into the Peruvian Amazon Rainforest?," World Development, Elsevier, vol. 36(3), pages 527-540, March.
    15. repec:fpr:export:1343 is not listed on IDEAS
    16. Kotir, Julius H. & Bell, Lindsay W. & Kirkegaard, John A. & Whish, Jeremy & Aikins, Kojo Atta, 2022. "Labour demand – The forgotten input influencing the execution and adoptability of alternative cropping systems in Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    17. Leite, João Guilherme Dal Belo & Silva, João Vasco & van Ittersum, Martin K., 2014. "Integrated assessment of biodiesel policies aimed at family farms in Brazil," Agricultural Systems, Elsevier, vol. 131(C), pages 64-76.
    18. Grados, D. & García, S. & Schrevens, E., 2020. "Assessing the potato yield gap in the Peruvian Central Andes," Agricultural Systems, Elsevier, vol. 181(C).

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