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The Effect of Indonesian Farmer Preferences for Crop Attributes in the Adoption of Horticultural Crops: A Best-Worst Scaling Approach

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  • Supehatin
  • Umberger, Wendy J.
  • Yi, Dale
  • Stringer, Randy
  • Minot, Nicholas

Abstract

The main objective of this study is to provide insight on how Indonesian farmer preferences for crop attributes influence their adoption decisions. Results from a Latent Class (LC) cluster analysis, using the individual scores for each of the Best-Worst (BW) scaling attributes, indicate there are four clusters of farmers, each distinct in their relative preferences for crop attributes and socio-demographic characteristics. The multinomial endogenous treatment regressions show that preference cluster effect varies across models. For the binary adoption model, we find an insignificant preference cluster effect. We find a significant preference cluster effect both for the intensity of adoption and the timing of adoption models. The effects of farmers’ crop preference cluster, however, are different across those models. The findings allow more targeted programming and the development of information on specific cropping attributes that are most likely to encourage farmers to adopt new crops that have a high probability of offering benefits, including improved livelihoods for farmers.

Suggested Citation

  • Supehatin & Umberger, Wendy J. & Yi, Dale & Stringer, Randy & Minot, Nicholas, 2015. "The Effect of Indonesian Farmer Preferences for Crop Attributes in the Adoption of Horticultural Crops: A Best-Worst Scaling Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205453, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:205453
    DOI: 10.22004/ag.econ.205453
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    1. Svetlana Edmeades & Daniel J. Phaneuf & Melinda Smale & Mitch Renkow, 2008. "Modelling the Crop Variety Demand of Semi‐Subsistence Households: Bananas in Uganda," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 329-349, June.
    2. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    3. Lambrecht, Isabel & Vanlauwe, Bernard & Merckx, Roel & Maertens, Miet, 2014. "Understanding the Process of Agricultural Technology Adoption: Mineral Fertilizer in Eastern DR Congo," World Development, Elsevier, vol. 59(C), pages 132-146.
    4. Noltze, Martin & Schwarze, Stefan & Qaim, Matin, 2012. "Understanding the adoption of system technologies in smallholder agriculture: The system of rice intensification (SRI) in Timor Leste," Agricultural Systems, Elsevier, vol. 108(C), pages 64-73.
    5. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    6. Wolf, Christopher A. & Tonsor, Glynn T., 2013. "Dairy Farmer Policy Preferences," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), pages 1-15, August.
    7. Abebaw, Degnet & Haile, Mekbib G., 2013. "The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia," Food Policy, Elsevier, vol. 38(C), pages 82-91.
    8. Partha Deb & Pravin K. Trivedi, 2006. "Maximum simulated likelihood estimation of a negative binomial regression model with multinomial endogenous treatment," Stata Journal, StataCorp LP, vol. 6(2), pages 246-255, June.
    9. Reardon, Thomas & Barrett, Christopher B. & Berdegué, Julio A. & Swinnen, Johan F.M., 2009. "Agrifood Industry Transformation and Small Farmers in Developing Countries," World Development, Elsevier, vol. 37(11), pages 1717-1727, November.
    10. Pat Auger & Timothy Devinney & Jordan Louviere, 2007. "Using Best–Worst Scaling Methodology to Investigate Consumer Ethical Beliefs Across Countries," Journal of Business Ethics, Springer, vol. 70(3), pages 299-326, February.
    11. Batz, F. -J. & Peters, K. J. & Janssen, W., 1999. "The influence of technology characteristics on the rate and speed of adoption," Agricultural Economics, Blackwell, vol. 21(2), pages 121-130, October.
    12. Akinwumi A. Adesina & Moses M. Zinnah, 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, International Association of Agricultural Economists, vol. 9(4), pages 297-311, December.
    13. 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.
    14. Knowler, Duncan & Bradshaw, Ben, 2007. "Farmers' adoption of conservation agriculture: A review and synthesis of recent research," Food Policy, Elsevier, vol. 32(1), pages 25-48, February.
    15. Arnab K. Basu & Matin Qaim, 2007. "On the Adoption of Genetically Modified Seeds in Developing Countries and the Optimal Types of Government Intervention," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 784-804.
    16. Michael J. Peel, 2014. "Addressing unobserved endogeneity bias in accounting studies: control and sensitivity methods by variable type," Accounting and Business Research, Taylor & Francis Journals, vol. 44(5), pages 545-571, October.
    17. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    18. Joshi, P.K. & Joshi, Laxmi & Birthal, Pratap Singh, 2006. "Diversification and Its Impact on Smallholders: Evidence from a Study on Vegetable Production," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 19(2), July.
    19. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
    20. Matuschke, Ira & Mishra, Ritesh R. & Qaim, Matin, 2007. "Adoption and Impact of Hybrid Wheat in India," World Development, Elsevier, vol. 35(8), pages 1422-1435, August.
    21. Umberger, Wendy J. & Stringer, Randy & Mueller, Simone C., 2010. "Using Best-Worst Scaling to Determine Market Channel Choice by Small Farmers in Indonesia," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 90853, Agricultural and Applied Economics Association.
    22. Partha Deb & Pravin K. Trivedi, 2006. "Specification and simulated likelihood estimation of a non-normal treatment-outcome model with selection: Application to health care utilization," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 307-331, July.
    23. Loureiro, Maria L. & Umberger, Wendy J., 2007. "A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability," Food Policy, Elsevier, vol. 32(4), pages 496-514, August.
    24. Prabhu L. Pingali, 1997. "From Subsistence to Commercial Production Systems: The Transformation of Asian Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 628-634.
    25. Hintze, L. H. & Renkow, M. & Sain, G., 2003. "Variety characteristics and maize adoption in Honduras," Agricultural Economics, Blackwell, vol. 29(3), pages 307-317, December.
    26. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    27. Edilegnaw Wale & Asmare Yalew, 2007. "Farmers' Variety Attribute Preferences: Implications for Breeding Priority Setting and Agricultural Extension Policy in Ethiopia," African Development Review, African Development Bank, vol. 19(2), pages 379-396.
    28. Garrod, Guy & Ruto, Eric & Willis, Ken & Powe, Neil, 2012. "Heterogeneity of preferences for the benefits of Environmental Stewardship: A latent-class approach," Ecological Economics, Elsevier, vol. 76(C), pages 104-111.
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    Agribusiness; Farm Management; International Development; Research and Development/Tech Change/Emerging Technologies;
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