Applying partial least squares to model genetically modified food purchase intentions in southern Spain consumers |
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| Institution: | 1. Facultad de Ciencias Agropecuarias y Forestales, Universidad de La Frontera, Chile;2. MAPP Centre, Aarhus University, Denmark;3. LICSA, Núcleo de Ciencias Sociales, Universidad de La Frontera, Chile;4. Centro de Psicología Económica y del Consumo, Núcleo de Ciencias Sociales, Universidad de La Frontera, Chile;5. Escuela de Ingeniería Comercial, Facultad de Ciencias Empresariales, Universidad de Talca, Talca, Chile;6. Department of Psychology, University of Sheffield, Sheffield, United Kingdom;1. Universidad Loyola Andalucía, Department of Economics, C/Escritor Castilla Aguayo n° 4, 14004 Córdoba, Spain;2. University of Twente, Faculty of Engineering Technology, Department of Design, Production and Management, Drienerlolaan 5, 7522, NB, Enschede, the Netherlands;3. Institute of Agricultural Research and Training (IFAPA), Department of Agricultural Economics and Rural Studies, Avda. Menéndez Pidal s/n, 14080 Córdoba, Spain;4. Universidad de Córdoba, WEARE-Water, Environmental and Agricultural Resources Economics Research Group, Department of Agricultural Economics, Campus Rabanales, Ctra. N-IV Km 396, 14014 Córdoba, Spain;1. Department of Economic and Legal Studies, Parthenope University of Naples, Via Generale Parisi 13, 80132 Naples, Italy;2. Department of Law and Economics, Unitelma Sapienza University of Rome, Viale Regina Elena 295, 00161 Rome, Italy |
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| Abstract: | Consumers’ potential reactions towards genetically modified (GM) foods influence their commercial feasibility and determine the decisions of economic agents. This paper studies the underlying factors involved in determining consumers’ choice behaviour towards GM foods in order to develop an integrated analytical framework. Reliable information about consumers’ behaviour towards GM foods should lead to the design of political strategies intended to make citizens feel safe in their purchasing choices. In addition, there is an analysis of behavioural differences due to consumers’ objective knowledge levels. The research was performed in southern Spain using variance-based structural equation modelling, namely the Partial Least Squares (PLS) regression technique. The results support those arguments that connect consumers’ behavioural intentions, attitudes and different factors involved in determining consumer choice, because attitudes towards GM foods link consumer purchasing intentions to the perceived benefits and risks posed by GM foods. Furthermore, there are some insights into the moderating role played by the consumers’ level of knowledge in their purchase intentions to GM food. |
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