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Assessing producers’ perceptions of protecting coffee and apple mangoes as geographical indications in Kenya

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  • Maina, FW
  • Mburu, J

Abstract

Consumers are increasingly demanding for information on product quality, methods and characteristics of geographical region of production. As such, protecting unique products as geographical indications is on the increase. Geographical indications identify a product as originating from a region where a given quality, reputation or other characteristic desired by consumers, is essentially or exclusively attributable to its geographical origin. Having the legal legislation is necessary but not sufficient factor in protection of products as geographical indications (GI). Other essential factors include the producers’ awareness of the uniqueness and willingness to register the product for protection and marketing. Their perceived benefits and other characteristics will influence their decision to register the product as a GI. The study sought to understand underlying variables describing producers’ perceptions of the quality of coffee in Muranga and mango in Makueni as potential geographical indications. At least 132 producers randomly sampled were interviewed in each county using semi-structured questionnaires. The study applied factor analysis to summarise producers’ perceptions and regressed the resulting factors against a set of explanatory variables to determine factors influencing these perceptions. Six and five underlying variable (factors) were identified for coffee and mango producers’ perceptions respectively. The factors explained at least 75.3% and 71.5% of the variance in the original variables for coffee and mango producers’ perceptions respectively. The regression results with varying Fstatistics showed the importance of conducting specific analysis for each product in each region to identify the potential for protecting the products as GI.

Suggested Citation

  • Maina, FW & Mburu, J, 2016. "Assessing producers’ perceptions of protecting coffee and apple mangoes as geographical indications in Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249344, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae16:249344
    DOI: 10.22004/ag.econ.249344
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    References listed on IDEAS

    as
    1. 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.
    2. Mureithi, Leopold P., 2008. "Coffee in Kenya : some challenges for decent work," ILO Working Papers 994236643402676, International Labour Organization.
    3. Giovannucci, Daniele & Josling, Timothy & Kerr, William & O'Connor, Bernard & Yeung, May T., 2009. "Guide to Geographical Indications: Linking Products and Their Origins (Summary)," MPRA Paper 27955, University Library of Munich, Germany.
    4. repec:ilo:ilowps:423664 is not listed on IDEAS
    5. Belletti, Giovanni, 1999. "Origin labelled products, reputation and heterogeneity of firms," 67th Seminar, October 28-30, 1999, LeMans, France 241035, European Association of Agricultural Economists.
    6. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    7. Joost M.E. Pennings & Raymond M. Leuthold, 2000. "The Role of Farmers' Behavioral Attitudes and Heterogeneity in Futures Contracts Usage," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 908-919.
    8. Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
    Full references (including those not matched with items on IDEAS)

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    Keywords

    Crop Production/Industries; Environmental Economics and Policy; Land Economics/Use;
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