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Rasch analysis of consumer attitudes towards the mountain product label

Author

Listed:
  • Ivana Bassi

    (University of Udine)

  • Matteo Carzedda

    (University of Trieste)

  • Enrico Gori

    (University of Udine)

  • Luca Iseppi

    (University of Udine)

Abstract

In 2012 the European Union adopted the Regulation No. 1151/2012, which, among others, defines the legal framework to protect the originality and authenticity of mountain foods through the “Mountain Product” quality scheme. The research aims to analyze people’s attitudes towards mountain foods and the EU Mountain Product label, as well as their area of origin, i.e., the mountains. For the purpose of this research, the Rasch model was used since its properties make it suitable to identify the measure of interest. The results allow us to identify potential leverage to plan promotional activities in order to enhance the value of mountain food, raise awareness on the EU label, thus improving the sustainability of mountain farms and regions.

Suggested Citation

  • Ivana Bassi & Matteo Carzedda & Enrico Gori & Luca Iseppi, 2022. "Rasch analysis of consumer attitudes towards the mountain product label," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-25, December.
  • Handle: RePEc:spr:agfoec:v:10:y:2022:i:1:d:10.1186_s40100-022-00218-7
    DOI: 10.1186/s40100-022-00218-7
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    References listed on IDEAS

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    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Kyungsoo Nam & Heesun Lim & Byeong-il Ahn, 2020. "Analysis of Consumer Preference for Milk Produced through Sustainable Farming: The Case of Mountainous Dairy Farming," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    3. So, Kevin Kam Fung & King, Ceridwyn & Hudson, Simon & Meng, Fang, 2017. "The missing link in building customer brand identification: The role of brand attractiveness," Tourism Management, Elsevier, vol. 59(C), pages 640-651.
    4. Alessandro Bonadonna & Giovanni Peira & Chiara Giachino & Luana Molinaro, 2017. "Traditional Cheese Production and an EU Labeling Scheme: The Alpine Cheese Producers’ Opinion," Agriculture, MDPI, vol. 7(8), pages 1-13, August.
    5. Diallo, Mbaye Fall, 2012. "Effects of store image and store brand price-image on store brand purchase intention: Application to an emerging market," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 360-367.
    6. Agata Nicolosi & Valentina Rosa Laganà & Donatella Di Gregorio & Donatella Privitera, 2021. "Social Farming in the Virtuous System of the Circular Economy. An Exploratory Research," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    7. Chiara Mazzocchi & Luigi Orsi & Guido Sali, 2021. "Consumers’ Attitudes for Sustainable Mountain Cheese," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    8. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    9. Elbedweihy, Alaa M. & Jayawardhena, Chanaka & Elsharnouby, Mohamed H. & Elsharnouby, Tamer H., 2016. "Customer relationship building: The role of brand attractiveness and consumer–brand identification," Journal of Business Research, Elsevier, vol. 69(8), pages 2901-2910.
    Full references (including those not matched with items on IDEAS)

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