Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Open Agriculture

1 Issue per year

Covered by: Elsevier - SCOPUS
Clarivate Analytics - Emerging Sources Citation Index

Open Access
See all formats and pricing
More options …

How does Farmer Preference matter in Crop variety Adoption? The case of Improved Cassava varieties’ Adoption in Ghana

Patricia Pinamang Acheampong / Victor Owusu
  • Kwame Nkrumah University of Science and Technology, Department of Agricultural Economics, Agribusiness and Extension, Kumasi, Ghana
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Gyeile Nurah
  • Kwame Nkrumah University of Science and Technology, Department of Agricultural Economics, Agribusiness and Extension, Kumasi, Ghana
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2018-11-21 | DOI: https://doi.org/10.1515/opag-2018-0052


Ghana’s National Agricultural Research Systems have officially released 24 improved cassava varieties, which are high yielding, disease and pest resistant and early maturing. However, adoption of these varieties by mainly smallholder farmers is very low, leading to low yields and incomes. The purpose of this study was to contribute to the development and adoption of improved cassava varieties by assessing the preferences of farmers for cassava variety traits. The study explored Ghanaian cassava producers’ decision-making behaviour towards variety selection and the values they place on different cassava traits. It employed mixed logit and latent class models to estimate the values place on cassava traits, by using choice experiment data of 450 cassava producers from Ghana. Results revealed farmers’ preferences for longevity of root storage in the soil and disease resistance traits of cassava. The latent class model revealed that male youths were more likely to participate in improved varieties that take into account in-soil storage and multiple usages. The need for agricultural research systems to focus on other traits in addition to high yielding and disease resistance in order to boost adoption and increase production is imperative.

This article offers supplementary material which is provided at the end of the article.

Keywords: choice experiment; decision-making behaviour; high yielding; mixed logit; in-soil storage


  • Acheampong P.P., Owusu V., Gyiele N., Asante B.O., Osei-Adu J, Cassava Variety Attributes Preferences in Ashanti, Brong Ahafo and Eastern Regions of Ghana. Ghana, J. Agric. Sci., 2012, 45, 21-29Google Scholar

  • Adesina A.A., Seidi S., Farmers’ perception and Adoption of new Agricultural Technology: analysis of modern mangrove rice varieties in Guinea Bissau, Quarter. J. Int. Agric., 1995, 3, 358-371Google Scholar

  • Adesina A.A., Zinnah M., Technology Characteristics, Farmer Perceptions, and Adoption Decisions: A Tobit Model Application in Sierra Leone, Agric. Econ., 1993, 9, 297-311Google Scholar

  • Adesina A., Baidu-Forson J., Farmers’ perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa, Agric. Econ., 1995, 13, 1-9Google Scholar

  • Al-Hassan R.M., Diao X., Regional Disparities in Ghana: Policy Options and Public Investment Implications, Discussion Paper No. 00693, International Food Policy Research Institute (IFPRI), 2007Google Scholar

  • Asrat S., Mahmud Y., Carlsson F., Wale E., Farmers’ preferences for crop variety traits: Lessons for on-farm conservation and technology adoption, Ecol. Econ., 2010, 69, 2394-2401Google Scholar

  • Boxall P.C., Adamowicz W.L., Understanding heterogeneous preferences in random utility models: A Latent class approach, Environ. Resour. Econ., 2002, 23, 421-446Google Scholar

  • Carlsson F., Frykblom P., Lagerkvist C.J., Consumer benefits of labels and bans on GM foods-choice experiments with Swedish consumers, Am. J. Agric. Econ., 2007, 89, 152-161Google Scholar

  • Dankyi A.A., Adjekum A.A., Determinants of the adoption of improved cassava varieties in Southern Ghana-logistic regression analysis, In: Proceedings of the 13th ISTRC Symposium (10-14 November 2003, Arusha, Tanzania), ISTRC, 2007, 641-647Google Scholar

  • Edmeades S., Phaneuf D.J., Smale M., Renkow M., Modelling the Crop Variety Demand of Semi-Subsistence Households: Bananas in Uganda, J. Agric. Econ., 2008, 59, 329-349Google Scholar

  • Girma T.K., Awudu A., Clemens W., Valuing traits of indigenous cows in Central Ethiopia, J. Agric. Econ., 2009, 60, 386-401Google Scholar

  • Hole A.R., Fitting mixed logit models by using maximum simulated likelihood, Stata J., 2007, 7, 388-401Google Scholar

  • Hensher D.A., Rose J.M., Greene W.H., Applied Choice Analysis: A Primer, Cambridge University Press, Cambridge, 2005Google Scholar

  • Imoh A.N., Essien M.U., Adoption of Improved Cassava Varieties among Small-scale Farmers in Ikot Ekpene Agricultural Zone, Akwa Ibom State, Nigeria, Global Appr. Exten. Pract., 2006, 2, 41-50Google Scholar

  • Lancaster K.J., Consumer Demand: A New Approach, Columbia University Press, New York and London, 1997Google Scholar

  • Manu-Aduening J., Lamboll R.I., Ampong-Mensah G., Lamptey J. N., Moses E., Dankyi A.A., et al., Development of superior cassava cultivars in Ghana by farmers and scientists: The process adopted outcomes and contributions and changed roles of different stakeholders, Euphytica, 2006, 150, 47-61Google Scholar

  • McFadden D., Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.) Frontiers in Econometrics, Academic Press, New York, 1974Google Scholar

  • Mendis S., Edirisinghe J.C., Willingness to Pay for Rice Traits in Kurunegala and Hambantota Districts: An Application of a Spatial Hedonic Pricing Model, J. Agric. Sci. Sri Lanka, 2013, 8, 1-7Google Scholar

  • Ministry of Food and Agriculture, Food and Agriculture Sector Development Policy Accra, Ghana, 2007Google Scholar

  • Ministry of Food and Agriculture, Agriculture in Ghana. Facts and Figures, Statistics, Research and Information Directorate (SRID), Accra, Ghana, 2016Google Scholar

  • Nwakor F.N., Ifenkwe G.E, Okoye B.C., Onummadu F.N., Anyaegbunam H.N., Ekedo T.O., et al., Socio-economic factors affecting adoption of improved cassava varieties among farmers in Abia State, J. Agric. Soc. Res., 2011, 11, 63-71Google Scholar

  • Ouma E., Abdulai A., Drucker A., Measuring heterogeneous preferences for cattle traits among cattle-keeping households in East Africa, Am. J. Agric. Econ., 2007, 89, 1005-1019Google Scholar

  • Owusu V., Donkor E., Adoption of Improved Cassava Varieties in Ghana, Agric. J., 2012, 7, 146-151Google Scholar

  • Ruto E., Garrod G., Scarpa R., Valuing animal genetic resources: A choice modelling application to indigenous cattle in Kenya, Agric. Econ., 2008, 38, 89-98Google Scholar

  • Roessler R., Drucker A.G., Scarpa R., Markemann A., Lemke U., Thuy L.T., et al., Using choice experiments to assess smallholder farmers’ preferences for pig breeding traits in different production systems in North-West Vietnam, Ecol. Econ., 2008, 66, 184-192Google Scholar

  • Revelt D., Train K., Mixed logit with repeated choices: households’ choices of appliance efficiency level, Rev. Econ. Stat., 1998, 80, 647-657Google Scholar

  • Scarpa R., Willis K., Willingness-to-pay for renewable energy: primary and discretionary choice of British households’ for microgeneration technologies, Energy Econ., 2010, 32, 129-136Google Scholar

  • Scarpa R., Ruto S.K., Kristjanson P., Radeny M., Drucker A.G., Rege J.E.O., Valuing Indigenous Cattle Breeds in Kenya: An Empirical Comparison of Stated and Revealed Preference Value Estimates, Ecol. Econ., 2003, 45, 409-426Google Scholar

  • Tarawali G., Iyangbe C., Udensi U.E., Ilona P., Osun T., Okater C., et al., Commercial-scale adoption of improved cassava varieties: A baseline study to highlight constraints of large-scale cassava based agro-processing industries in Southern Nigeria, J. Food Agric. Environ., 2012, 10, 680-688Google Scholar

  • Train K., Discrete Choice Methods with Simulation, 1st ed., Cambridge University Press, 2003Google Scholar

  • Wale E.Z., Mburu J., Holm-Muller K., Zeller M., Economic analysis of farmers’ preferences for coffee variety attributes: lessons for on-farm conservation and technology adoption in Ethiopia, Quarter. J. Intern. Agric., 2005, 44, 121-139Google Scholar

  • Wale E., Mburu J., An attribute-based index of Coffee Diversity and Implications for on-farm conservation in Ethiopia, In: Smale M. (Ed.), Valuing crop biodiversity. On-farm genetic resources and economic change, CABI Publishing, 2006Google Scholar

  • Willock J., Deary I., Edwards-Jones G., Gibson G., McGregor M., Sutherland A., et al., The role of attitudes and objectives in farmer decision making: business and environmentally-oriented behaviour in Scotland, J. Agric. Econ., 1999, 50, 286-303Google Scholar

  • Zander K.K., Drucker A.G., Conserving what’s important: using choice model scenarios to value local cattle breeds in East Africa, Ecol. Econ., 2008, 68, 34-45.Google Scholar

About the article

Received: 2018-07-04

Accepted: 2018-10-13

Published Online: 2018-11-21

Published in Print: 2018-11-01

Citation Information: Open Agriculture, Volume 3, Issue 1, Pages 466–477, ISSN (Online) 2391-9531, DOI: https://doi.org/10.1515/opag-2018-0052.

Export Citation

© by Patricia Pinamang Acheampong, et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

Supplementary Article Materials

Comments (0)

Please log in or register to comment.
Log in