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The Role of Gender, Risk, and Time Preferences in Farmers' Rice Variety Selection in Eastern India

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  • Mamta Mehar

    (Athena Infonomics, India)

  • Takashi Yamano
  • Architesh Panda

Abstract

Using data from 5,601 rice farmers in Eastern India, this study examined the role of gender, risk, and time preferences in farmers' rice variety selection in Eastern India. The determinants of the following were estimated: farmers' rice variety selection according to variety type (i.e., modern [non-hybrid], stress-tolerant, hybrid, and traditional), and farmers' main reasons (i.e., yield potential, taste/cooking quality, marketability/affordability, and stress tolerance) for choosing a rice variety. A multivariate probit model was employed to identify the factors that influence farmers' decision-making, since some farmers choose to mix rice varieties from multiple categories. The results revealed that female farmers, who are more risk-averse, usually choose rice varieties based on cooking quality (e.g., good taste, high cooking quality, and good straw quality) and stress tolerance. They are less likely to select hybrid rice, and also less likely to base their decision on market-oriented reasons, compared to male farmers. Certain rice varieties released many decades ago remain popular among farmers because of multiple preferred attributes. The preference model is useful in understanding why some varieties are more popular than others, among female and male farmers.Â

Suggested Citation

  • Mamta Mehar & Takashi Yamano & Architesh Panda, 2017. "The Role of Gender, Risk, and Time Preferences in Farmers' Rice Variety Selection in Eastern India," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(1), pages 17-36, June.
    • Handle: RePEc:sag:seajad:v:14:y:2017:i:1:p:17-36
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    1. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    2. Juan Camilo Cardenas & Jeffrey Carpenter, 2008. "Behavioural Development Economics: Lessons from Field Labs in the Developing World," Journal of Development Studies, Taylor & Francis Journals, vol. 44(3), pages 311-338.
    3. Jenkins, Amanda & Velandia, Margarita M. & Lambert, Dayton M. & Roberts, Roland K. & Larson, James A. & English, Burton C. & Martin, Steven W., 2011. "Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-14, August.
    4. Gladwin, Christina H & McMillan, Della, 1989. "Is a Turnaround in Africa Possible without Helping African Women to Farm?," Economic Development and Cultural Change, University of Chicago Press, vol. 37(2), pages 345-369, January.
    5. Meinzen-Dick, Ruth & Quisumbing, Agnes & Behrman, Julia & Biermayr-Jenzano, Patricia & Wilde, Vicki & Noordeloos, Marco & Ragasa, Catherine & Beintema, Nienke, 2011. "Engendering agricultural research, development, and extension:," Research reports ruthmeinzen-dick, International Food Policy Research Institute (IFPRI).
    6. E. Krishna Rao, 2006. "Role of Women in Agriculture: A Micro Level Study," Journal of Global Economy, Research Centre for Social Sciences,Mumbai, India, vol. 2(2), pages 107-118, June.
    7. Jonna P. ESTUDILLO & Keijiro OTSUKA, 2006. "Lessons From Three Decades Of Green Revolution In The Philippines," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 123-148, June.
    8. Pender, John & Jagger, Pamela & Nkonya, Ephraim & Sserunkuuma, Dick, 2004. "Development Pathways and Land Management in Uganda," World Development, Elsevier, vol. 32(5), pages 767-792, May.
    9. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    10. Ghimire, Subash & Mehar, Mamta & Mittal, Surabhi, 2012. "Influence of Sources of Seed on Varietal Adoption Behavior of Wheat Farmers in Indo-Gangetic Plains of India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 25(Conferenc).
    11. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
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    Cited by:

    1. Bacud, Eva Salve T. & Gerullis, Maria K. & Puskur, Ranjitha & Heckelei, Thomas, 2023. "Looking at gender is not enough--how diversity of farmer's marginalization relates to variety preferences," 2023 Annual Meeting, July 23-25, Washington D.C. 335530, Agricultural and Applied Economics Association.
    2. Malabayabas, Maria Luz L. & Mishra, Ashok K. & Pede, Valerien O., 2023. "Joint decision-making, technology adoption and food security: Evidence from rice varieties in eastern India," World Development, Elsevier, vol. 171(C).
    3. Sonia Akter & William Erskine & Luc Spyckerelle & Lucia Viana Branco & Julie Imron, 2020. "The impact of women’s access to agricultural extension on cropping practices in Timor-Leste," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 449-463, April.
    4. Takashi Yamano & Maria Luz Malabayabas & Md. Ashraful Habib & Subrata Kumar Das, 2018. "Neighbors follow early adopters under stress: panel data analysis of submergence†tolerant rice in northern Bangladesh," Agricultural Economics, International Association of Agricultural Economists, vol. 49(3), pages 313-323, May.

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    More about this item

    Keywords

    Variety Selection; Rice; Preference; India; Gender;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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