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Utilizing conjoint analysis to design modern crop varieties: empirical example for groundnut in Niger

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  • Jojo Baidu‐Forson
  • Bonny R. Ntare
  • Farid Waliyar

Abstract

Preferences for monetary and non‐monetary plant traits influence modern crop variety adoption decisions of farmers. To enhance adoption probability of modem crop varieties, it is necessary to identify and locus research on traits that significantly contribute to utility while de‐emphasizing insignificant plant attributes. This paper illustrates the potential for applying conjoint analysis to aid the design and targeting of client‐responsive modern crop varieties, farmers ranked eight orthogonally‐derived plant trail combinations used in an illustrative example. Utilities were estimated using the choice‐probability‐based method of ordered probit. Results showed that conjoint analysis can differentiate significant and non‐significant trails of modern crop varieties. The usefulness of applying conjoint analysis over identifiable disaggregated groups of a sample was also evident. Future application of conjoint analysis to the design and targeting of modern crop varieties should carefully consider sample composition and size to permit the estimation of relevant sub‐models for desired farmer segments.

Suggested Citation

  • Jojo Baidu‐Forson & Bonny R. Ntare & Farid Waliyar, 1997. "Utilizing conjoint analysis to design modern crop varieties: empirical example for groundnut in Niger," Agricultural Economics, International Association of Agricultural Economists, vol. 16(3), pages 219-226, August.
    • Handle: RePEc:bla:agecon:v:16:y:1997:i:3:p:219-226
    DOI: 10.1111/j.1574-0862.1997.tb00456.x
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    Cited by:

    1. Milena Pavlova & Wim Groot & Godefridus Merode, 2005. "An Application of Rating Conjoint Analysis to Study the Importance of Quality-, Access- and Price-attributes to Health Care Consumers," Economic Change and Restructuring, Springer, vol. 37(3), pages 267-286, September.
    2. Mahadevan, Renuka & Asafu-Adjaye, John, 2015. "Exploring the potential for green revolution: a choice experiment on maize farmers in Northern Ghana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 10(3), pages 1-15.
    3. Caroline Roussy & Aude Ridier & Karim Chaïb, 2014. "Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences," Post-Print hal-01123427, HAL.
    4. Astrid Mastenbroek & Irma Sirutyte & Robert Sparrow, 2021. "Information Barriers to Adoption of Agricultural Technologies: Willingness to Pay for Certified Seed of an Open Pollinated Maize Variety in Northern Uganda," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(1), pages 180-201, February.
    5. Kwanmuang, Kanjana & Wangyeesen, Apinya & Shuto, Hisato, 2018. "What Leads Farmers to Abandon Coffee Production?: An Experimental Study on Crop Choice in Chumphon Province, Thailand," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 20.
    6. Blazy, Jean-Marc & Carpentier, Alain & Thomas, Alban, 2011. "The willingness to adopt agro-ecological innovations: Application of choice modelling to Caribbean banana planters," Ecological Economics, Elsevier, vol. 72(C), pages 140-150.
    7. Meressa, Abrha Megos & Navrud, Stale, 2020. "Not my cup of coffee: Farmers’ preferences for coffee variety traits – Lessons for crop breeding in the age of climate change," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    8. Basavaraj, G. & Rao, P. Parthasarathy & Achoth, Lalith & Lagesh & Pokharkar, V.G. & Gupta, S.K. & Kumar, A. Ashok, 2015. "Understanding Trait Preferences of Farmers for Post-Rainy Sorghum and Pearl Millet in India--A Conjoint Analysis," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 70(1), pages 1-14.
    9. Horna, J. Daniela & Smale, Melinda & von Oppen, Matthias, 2005. "Private Participation In Agricultural Extension In Nigeria And Benin: Determining The Willingness To Pay For Information," 2005 Annual meeting, July 24-27, Providence, RI 19401, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Evelyne Gbénou-Sissinto & Ygué P. Adegbola & Gauthier Biaou & Roch C. Zossou, 2018. "Farmers’ Willingness to Pay for New Storage Technologies for Maize in Northern and Central Benin," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    11. Grabowski, Philip & Schmitt Olabisi, Laura & Adebiyi, Jelili & Waldman, Kurt & Richardson, Robert & Rusinamhodzi, Leonard & Snapp, Sieglinde, 2019. "Assessing adoption potential in a risky environment: The case of perennial pigeonpea," Agricultural Systems, Elsevier, vol. 171(C), pages 89-99.

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