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Understanding Filipino Rice Farmer Preference Heterogeneity for Varietal Trait Improvements: A Latent Class Analysis

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  • Rio Maligalig
  • Matty Demont
  • Wendy J. Umberger
  • Alexandra Peralta

Abstract

Using an experimental methodology based on investment games, we examine whether smallholder rice farmers from Nueva Ecija, Philippines have heterogeneous preferences for improvements in 10 rice varietal traits. We use a latent class cluster approach to identify different segments of rice producing households and their distinct preferences for trait improvements. These clusters were characterised post hoc using household, farm, and marketing characteristics. On average, farmers invested the most in rice varietal trait improvements that offered opportunities to reduce losses caused by lodging, insects and diseases. We found four classes of farmers with distinct preferences for improvements in variety traits. The clusters were significantly different in terms of household and farm characteristics. These findings can guide breeding research in the development of varieties that have the traits farmers identified for improvement, and that will address the unique needs of distinct farmer segments.

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  • Rio Maligalig & Matty Demont & Wendy J. Umberger & Alexandra Peralta, 2021. "Understanding Filipino Rice Farmer Preference Heterogeneity for Varietal Trait Improvements: A Latent Class Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 134-157, February.
    • Handle: RePEc:bla:jageco:v:72:y:2021:i:1:p:134-157
    DOI: 10.1111/1477-9552.12392
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    1. Ward, Patrick S. & Ortega, David L. & Spielman, David J. & Singh, Vartika, 2014. "Heterogeneous Demand for Drought-Tolerant Rice: Evidence from Bihar, India," World Development, Elsevier, vol. 64(C), pages 125-139.
    2. Gneezy, Uri & Guth, Werner & Verboven, Frank, 2000. "Presents or investments? An experimental analysis," Journal of Economic Psychology, Elsevier, vol. 21(5), pages 481-493, October.
    3. Stephanie Schlecht & Achim Spiller, 2012. "A Latent Class Cluster Analysis of Farmers’ Attitudes Towards Contract Design in the Dairy Industry," Agribusiness, John Wiley & Sons, Ltd., vol. 28(2), pages 121-134, March.
    4. Kurt B. Waldman & David L. Ortega & Robert B. Richardson & Daniel C. Clay & Sieglinde Snapp, 2016. "Preferences for legume attributes in maize-legume cropping systems in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(6), pages 1087-1099, December.
    5. Cochard, Francois & Nguyen Van, Phu & Willinger, Marc, 2004. "Trusting behavior in a repeated investment game," Journal of Economic Behavior & Organization, Elsevier, vol. 55(1), pages 31-44, September.
    6. Briones, Roehlano M. & Dela Pena, Beulah, 2015. "Competition Reform in the Philippine Rice Sector," Discussion Papers DP 2015-04, Philippine Institute for Development Studies.
    7. Buchan, Nancy R. & Croson, Rachel T.A. & Solnick, Sara, 2008. "Trust and gender: An examination of behavior and beliefs in the Investment Game," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 466-476, December.
    8. Dalton, Timothy J. & Yesuf, Mahmud & Muhammad, Lutta, 2011. "Demand for Drought Tolerance in Africa: Selection of Drought Tolerant Maize Seed using Framed Field Experiments," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103712, Agricultural and Applied Economics Association.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    10. Matty Demont & Pieter Rutsaert & Maïmouna Ndour & Wim Verbeke & Papa A. Seck & Eric Tollens, 2013. "Experimental auctions, collective induction and choice shift: willingness-to-pay for rice quality in Senegal-super- †," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(2), pages 261-286, March.
    11. Maredia, Mywish K. & Raitzer, David A., 2012. "Review and analysis of documented patterns of agricultural research impacts in Southeast Asia," Agricultural Systems, Elsevier, vol. 106(1), pages 46-58.
    12. Adam Drucker, 2007. "Measuring Heterogeneous Preferences for Cattle Traits among Cattle-Keeping Households in East Africa," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 1005-1019.
    13. Kassie, Girma T. & Abdulai, Awudu & Greene, William H. & Shiferaw, Bekele & Abate, Tsedeke & Tarekegne, Amsal & Sutcliffe, Chloe, 2017. "Modeling Preference and Willingness to Pay for Drought Tolerance (DT) in Maize in Rural Zimbabwe," World Development, Elsevier, vol. 94(C), pages 465-477.
    14. Pingali, Prabhu L & Rozelle, Scott D & Gerpacio, Roberta V, 2001. "The Farmer's Voice in Priority Setting: A Cross-Country Experiment in Eliciting Technological Preferences," Economic Development and Cultural Change, University of Chicago Press, vol. 49(3), pages 591-609, April.
    15. Kline, Jeffrey & Wichelns, Dennis, 1998. "Measuring heterogeneous preferences for preserving farmland and open space," Ecological Economics, Elsevier, vol. 26(2), pages 211-224, August.
    16. Mariano, Marc Jim & Villano, Renato & Fleming, Euan, 2012. "Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines," Agricultural Systems, Elsevier, vol. 110(C), pages 41-53.
    17. Lunduka, Rodney & Fisher, Monica & Snapp, Sieglinde, 2012. "Could farmer interest in a diversity of seed attributes explain adoption plateaus for modern maize varieties in Malawi?," Food Policy, Elsevier, vol. 37(5), pages 504-510.
    18. Wendy J. Umberger & Thomas Reardon & Randy Stringer & Simone Mueller Loose, 2015. "Market-Channel Choices of Indonesian Potato Farmers: A Best-Worst Scaling Experiment," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 51(3), pages 461-477, December.
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    2. Rutsaert, Pieter & Donovan, Jason & Murphy, Mike & Hoffmann, Vivian, 2024. "Farmer decision making for hybrid maize seed purchases: Effects of brand loyalty, price discounts and product information," Agricultural Systems, Elsevier, vol. 218(C).

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