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Structural Equation Modelling of Consumer Acceptance of Genetically Modified Food (GM) in the Mediterranean Europe: Spain, Greece and Italy

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  • Costa-Font, Montserrat
  • Gil, Jose Maria

Abstract

The inception of genetic modification (GM) techniques in food production conveys both opportunities - improve food production technologies and/or product differentiation - and risks - dread of a change of the technological status quo, ambiguity in the food properties.. . Hence, some research has been devoted a careful understanding of consumer's reactions towards to GM food. However, unavoidably individual's perceptions involve taking into account several factors at a time that cannot be taken as given or exogenous such as traditional food values and trust in information sources primarily. This paper contributes to the literature by examining the behavioural process that drives individual's perceptions to GM food using a methodology that allows accounting for such effects. Structural Equation Model or causal modelling allows to examine a system of interdependent effects driving consumers' decision-making process. We undertake an empirical application in three specific Mediterranean countries, namely Spain, Italy and Greece where traditional values, such as Mediterranean diet, contrast that of modern benefits of technology. We argue that public attitudes towards GM food are formed as a result of a reasoning mechanism that departs form trust in science and in public authorities and ultimately affects consumer's final purchase decision. Our finding suggests marked differences in the reasoning mechanism that leads to the acceptance of GM food in the three different countries examined.

Suggested Citation

  • Costa-Font, Montserrat & Gil, Jose Maria, 2007. "Structural Equation Modelling of Consumer Acceptance of Genetically Modified Food (GM) in the Mediterranean Europe: Spain, Greece and Italy," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9415, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa103:9415
    DOI: 10.22004/ag.econ.9415
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    Cited by:

    1. Omid M. Ghoochani & Mansour Ghanian & Masoud Baradaran & Erfan Alimirzaei & Hossein Azadi, 2018. "Behavioral intentions toward genetically modified crops in Southwest Iran: a multi-stakeholder analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 233-253, February.
    2. Cumhur Aydinli & Edip Senyurek, 2016. "Measuring Impact of Service Quality Dimensions on Customers Satisfaction: Case of GSM Users in Poland," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(1), pages 127-133, January.
    3. Osval Antonio Montesinos-Lopez & Emeterio Franco-Perez & Kismiantini - & Marco Alberto Valenzo Jimenez & Ignacio Luna Espinoza & Laura Sanely Gaytan Lugo & Sara Sandoval Carrillo, 2021. "Construction and Validation of an Instrument to Measure Perceptions and Attitudes towards Genetically Modified Organisms in the Mexican Urban Population," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(5), pages 1-83, July.
    4. Kessler, Anna & Goddard, Ellen & Parkins, John, 2013. "Exploring Factors That Influence Perceptions of Using Genomics for Emission Reductions in Beef Cattle," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150419, Agricultural and Applied Economics Association.
    5. Erkan Ari & Veysel Yilmaz & Murat Olgun, 2021. "The Effect of Trust Benefit and Risk Perception of GM Foods on Behavior Intention: A Study on University Students," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 64(64), pages 297-312, December.
    6. María Núñez-Fernández & Héctor Hugo Pérez-Villarreal & Yesica Mayett-Moreno, 2021. "Comparing Models with Positive Anticipated Emotions, Food Values, Attitudes and Subjective Norms as Influential Factors in Fast-Food Purchase Intention during the COVID-19 Pandemic in Two Channels: Re," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    7. Johanna Pfeiffer & Andreas Gabriel & Markus Gandorfer, 2021. "Understanding the public attitudinal acceptance of digital farming technologies: a nationwide survey in Germany," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(1), pages 107-128, February.
    8. Lilavanichakul, Apichaya & Boecker, Andreas, 2013. "Consumer Acceptance of a New Traceability Technology: A Discrete Choice Application to Ontario Ginseng," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 16(4), pages 1-26, November.
    9. Mahaffey, Harry & Taheripour, Farzad & Tyner, Wallace E., 2016. "Evaluating the Economic and Environmental Impacts of a Global GMO Ban," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235591, Agricultural and Applied Economics Association.
    10. J. Ross Pruitt & Kaitlyn M. Melton & Marco A. Palma, 2021. "Does Physical Activity Influence Consumer Acceptance of Gene Edited Food?," Sustainability, MDPI, vol. 13(14), pages 1-12, July.
    11. Mingyang Zhang & Chao Chen & Wuyang Hu & Lijun Chen & Jintao Zhan, 2016. "Influence of Source Credibility on Consumer Acceptance of Genetically Modified Foods in China," Sustainability, MDPI, vol. 8(9), pages 1-16, September.
    12. Xiaoqin Zhu & Xiaofei Xie, 2015. "Effects of Knowledge on Attitude Formation and Change Toward Genetically Modified Foods," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 790-810, May.
    13. Abdelradi, Fadi & Abdu, Khaled, 2015. "Evaluation of consumers' lifestyles and willingness to pay for dates: A hybrid choice model approach," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202720, European Association of Agricultural Economists.

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