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Acceptance of a food of animal origin obtained through genetic modification and cloning in South America: a comparative study among university students and working adults

Abstract

With the aim of comparing the acceptance of milk obtained from cloned, genetically modified (GM) and conventionally bred cows among working adults and university students, and identifying and characterizing typologies among both subsamples in terms of their preferences, a survey was applied to 400 people in southern Chile, distributed using a simple allocation among the subsamples. Using a conjoint analysis, it was found that consumers preferred milk from a conventional cow. Using a cluster analysis, in both subsamples two segments sensitive to production technology were identified. Rejection of cloning was greatest among university students, whereas a higher proportion of working adults rejected GM. The segments differed in terms of area of residence, knowledge about GM, and milk consumption habits. Contrary to what was expected, no differences were found according to education, gender or degree of satisfaction with food-related life.

Keywords:
animal cloning; GM animals; milk; developing countries; consumer acceptance

1 Introduction

New food technologies enable innovations in the food sector, though consumers do not equally accept all technologies (Saeed et al., 2015Saeed, A., Abubakar, M., & Kanwal, S. (2015). Future challenges related to animal biotechnology. In M. Abubakar, A. Saeed & O. Kul (Eds.), The role of biotechnology in improvement of livestock (chap. 7, pp. 135-147). Berlin: Springer-Verlag Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-662-46789-3.
http://dx.doi.org/10.1007/978-3-662-4678...
; Siegrist, 2008Siegrist, M. (2008). Factors influencing public acceptance of innovative food technologies and products: food innovation management. Trends in Food Science & Technology, 19(11), 603-608. http://dx.doi.org/10.1016/j.tifs.2008.01.017.
http://dx.doi.org/10.1016/j.tifs.2008.01...
). Consumers may express concerns and fears about novel technologies such as genetically modified (GM) foodstuffs, nanotechnology and animal cloning, rejecting those technologies (Bánáti, 2011Bánáti, D. (2011). Consumer response to food scandals and scares. Trends in Food Science & Technology, 22(2-3), 56-60. http://dx.doi.org/10.1016/j.tifs.2010.12.007.
http://dx.doi.org/10.1016/j.tifs.2010.12...
) which otherwise may provide useful solutions that are also in the consumers’ interest (Bánáti, 2011Bánáti, D. (2011). Consumer response to food scandals and scares. Trends in Food Science & Technology, 22(2-3), 56-60. http://dx.doi.org/10.1016/j.tifs.2010.12.007.
http://dx.doi.org/10.1016/j.tifs.2010.12...
; Mandaci et al., 2014Mandaci, M., Çakir, Ö., Turgut-Kara, N., Meriç, S., & Ari, S. (2014). Detection of genetically modified organisms in soy products sold in Turkish market. Food Science and Technology, 34(4), 717-722. http://dx.doi.org/10.1590/1678-457X.6441.
http://dx.doi.org/10.1590/1678-457X.6441...
; Ghazaei et al., 2015Ghazaei, S., Mizani, M., Piravi-Vanak, Z., & Alimi, M. (2015). Particle size and cholesterol content of a mayonnaise formulated by OSA-modified potato starch. Food Science and Technology, 35(1), 150-156. http://dx.doi.org/10.1590/1678-457X.6555.
http://dx.doi.org/10.1590/1678-457X.6555...
). This study compares acceptance of food obtained from genetically modified (GM), cloned and conventionally bred cows. Most available studies have assessed acceptance of GM foods and those from cloned animals separately; this investigation will contribute to the knowledge about the relative consumer acceptance of both technologies. This may provide orientation for the production sector, government agencies and sellers as to which technology may be most successful in the market, both in the medium and long term. For this reason, the study is conducted using two subsamples: working adults (WA) who represent current and medium-term acceptance, and university students (USt) who may tend to acceptance over a longer period, considering that young people search for new food experiences and become increasingly neophile, attempting to distinguish themselves from their parents’ food-related values (Nørgaard et al., 2014Nørgaard, M. K., Sørensen, B. T., & Grunert, K. G. (2014). Social and individual determinants of adolescents’ acceptance of novel healthy and cool snack products. Appetite, 83, 226-235. http://dx.doi.org/10.1016/j.appet.2014.08.028. PMid:25173064.
http://dx.doi.org/10.1016/j.appet.2014.0...
). In line with previous studies, it is expected that WA will be less receptive to the two technologies than the USt (Mucci et al., 2004Mucci, A., Hough, G., & Ziliani, C. (2004). Factors that influence purchase intent and perceptions of genetically modified foods among Argentine consumers. Food Quality and Preference, 15(6), 559-567. http://dx.doi.org/10.1016/j.foodqual.2004.02.004.
http://dx.doi.org/10.1016/j.foodqual.200...
; Nayga et al., 2006Nayga, R. Jr, Fisher, M., & Onyango, B. (2006). Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea. Agricultural Economics, 34(3), 331-341. http://dx.doi.org/10.1111/j.1574-0864.2006.00129.x.
http://dx.doi.org/10.1111/j.1574-0864.20...
; Rollin et al., 2011Rollin, F., Kennedy, J., & Wills, J. (2011). Consumers and new food technologies. Trends in Food Science & Technology, 22(2-3), 99-111. http://dx.doi.org/10.1016/j.tifs.2010.09.001.
http://dx.doi.org/10.1016/j.tifs.2010.09...
). Based on the make-up of this sample, it is expected that differences will be detected according to the knowledge of these technologies (Christoph et al., 2008Christoph, I. B., Bruhn, M., & Roosen, J. (2008). Knowledge, attitudes towards and acceptability of genetic modification in Germany. Appetite, 51(1), 58-68. http://dx.doi.org/10.1016/j.appet.2007.12.001. PMid:18243411.
http://dx.doi.org/10.1016/j.appet.2007.1...
; Cardello et al., 2007Cardello, A. V., Schutz, H. G., & Lesher, L. L. (2007). Consumer perceptions of foods processed by innovative and emerging technologies: a conjoint analytic study. Innovative Food Science & Emerging Technologies, 8(1), 73-83. http://dx.doi.org/10.1016/j.ifset.2006.07.002.
http://dx.doi.org/10.1016/j.ifset.2006.0...
) and the level of education (Kimenju & De Groote, 2008Kimenju, S., & De Groote, H. (2008). Consumer willingness to pay for genetically modified food in Kenya. Agricultural Economics, 38(1), 35-46. http://dx.doi.org/10.1111/j.1574-0862.2007.00279.x.
http://dx.doi.org/10.1111/j.1574-0862.20...
; Šorgo & Ambrožič-Dolinšek, 2010Šorgo, A., & Ambrožič-Dolinšek, J. (2010). Knowlege of, attitudes toward, and acceptance of genetically modified organisms among prospective teachers of biology, home economics, and grade school in Slovenia. Biochemistry and Molecular Biology Education, 38(3), 141-150. http://dx.doi.org/10.1002/bmb.20377. PMid:21567816.
http://dx.doi.org/10.1002/bmb.20377...
; Schnettler et al., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
).

Consumer response to the commercial use of GM food varies in different countries (Rodríguez-Entrena & Salazar-Ordóñez, 2013Rodríguez-Entrena, M., & Salazar-Ordóñez, M. (2013). Influence of scientific-technical literacy on consumers’ behavioural intentions regarding new food. Appetite, 60(1), 193-202. http://dx.doi.org/10.1016/j.appet.2012.09.028. PMid:23063609.
http://dx.doi.org/10.1016/j.appet.2012.0...
). It has been reported that developing countries tend to have positive attitudes towards novel food technologies, in particular towards GM (Rollin et al., 2011Rollin, F., Kennedy, J., & Wills, J. (2011). Consumers and new food technologies. Trends in Food Science & Technology, 22(2-3), 99-111. http://dx.doi.org/10.1016/j.tifs.2010.09.001.
http://dx.doi.org/10.1016/j.tifs.2010.09...
), and among the developing countries there is evidence of consumer groups that have a positive attitude towards GM foods, like in China (De Steur et al., 2010De Steur, H., Gellynck, X., Storozhenko, S., Liqun, G., Lambert, W., Van Der Straeten, D., & Viaene, J. (2010). Willingness-to-accept and purchase genetically modified rice with high folate content in Shanxi Province, China. Appetite, 54(1), 118-125. http://dx.doi.org/10.1016/j.appet.2009.09.017. PMid:19815041.
http://dx.doi.org/10.1016/j.appet.2009.0...
), Kenya (Kimenju & De Groote, 2008Kimenju, S., & De Groote, H. (2008). Consumer willingness to pay for genetically modified food in Kenya. Agricultural Economics, 38(1), 35-46. http://dx.doi.org/10.1111/j.1574-0862.2007.00279.x.
http://dx.doi.org/10.1111/j.1574-0862.20...
) or Brazil (Costa et al., 2000Costa, M. C., Deliza, R., Rosenthal, A., Hedderley, D., & Frewer, L. (2000). Non conventional technologies and impact on consumer behavior. Trends in Food Science & Technology, 11(4-5), 188-193. http://dx.doi.org/10.1016/S0924-2244(00)00052-2.
http://dx.doi.org/10.1016/S0924-2244(00)...
), but in other developing nations the perceptions are generally more negative than positive, like in Argentina (Mucci et al., 2004Mucci, A., Hough, G., & Ziliani, C. (2004). Factors that influence purchase intent and perceptions of genetically modified foods among Argentine consumers. Food Quality and Preference, 15(6), 559-567. http://dx.doi.org/10.1016/j.foodqual.2004.02.004.
http://dx.doi.org/10.1016/j.foodqual.200...
) and Chile (Schnettler et al., 2010Schnettler, B., Avila, R., Sepúlveda, N., Miranda, H., Sepúlveda, J., & Denegri, M. (2010). Preference for beef with different types of genetic modification in Temuco, La Araucanía Region, Chile. Revista Científica-Facultad de Ciencias Veterinarias, 20(5), 537-545., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
). The term “genetically modified animals” is rather broad, and may apply to animals fed with feed containing GM additives or enzymes, those given GM vaccines and hormones, and those that are GM themselves (Novoselova et al., 2007Novoselova, T., Meuwissen, M., & Huirne, R. (2007). Adoption of GM technology in livestock production chains: an integrating framework. Trends in Food Science & Technology, 18(4), 175-188. http://dx.doi.org/10.1016/j.tifs.2006.12.005.
http://dx.doi.org/10.1016/j.tifs.2006.12...
). Consumers have been found to have higher acceptance of GM technologies using plant-based products rather than animal-based products (Mora et al., 2012Mora, C., Menozzi, D., Kleter, G., Aramyan, L., Valeeva, N., Zimmermann, K., & Pakki Reddy, G. (2012). Factors affecting the adoption of genetically modified animals in the food and pharmaceutical chains. Bio-based and Applied Economics, 1(3), 313-329. http://dx.doi.org/10.13128/BAE-11706.
http://dx.doi.org/10.13128/BAE-11706...
; Nayga et al., 2006Nayga, R. Jr, Fisher, M., & Onyango, B. (2006). Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea. Agricultural Economics, 34(3), 331-341. http://dx.doi.org/10.1111/j.1574-0864.2006.00129.x.
http://dx.doi.org/10.1111/j.1574-0864.20...
), although other authors report the opposite (Schnettler et al., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
). While European consumers are concerned about the use of GM in animal production (Lähteenmäki et al., 2003Lähteenmäki, L., Grunert, K., Ueland, Ø., Åström, A., Arvola, A., & Bech-Larsen, T. (2003). Acceptability of genetically modified cheese presented as real product alternative. Food Quality and Preference, 13(7-8), 523-533. http://dx.doi.org/10.1016/S0950-3293(01)00077-5.
http://dx.doi.org/10.1016/S0950-3293(01)...
), in terms of environmental sustainability, human health and animal welfare (Mora et al., 2012Mora, C., Menozzi, D., Kleter, G., Aramyan, L., Valeeva, N., Zimmermann, K., & Pakki Reddy, G. (2012). Factors affecting the adoption of genetically modified animals in the food and pharmaceutical chains. Bio-based and Applied Economics, 1(3), 313-329. http://dx.doi.org/10.13128/BAE-11706.
http://dx.doi.org/10.13128/BAE-11706...
), in the US there is no evidence of this concern (Cox et al., 2011Cox, D. N., Evans, G., & Lease, H. J. (2011). The influence of product attributes, consumer attitudes and characteristics on the acceptance of: (1) Novel bread and milk, and dietary supplements and (2) fish and novel meats as dietary vehicles of long chain omega 3 fatty acids. Food Quality and Preference, 22(2), 205-212. http://dx.doi.org/10.1016/j.foodqual.2010.10.003.
http://dx.doi.org/10.1016/j.foodqual.201...
).

Compared to what is known about consumer response to GM food in general, there is limited information about consumer attitudes toward food derived from animal clones (Aizaki et al., 2011Aizaki, H., Sawada, M., & Sato, K. (2011). Consumers’ attitudes toward consumption of cloned beef: the impact of exposure to technological information about animal cloning. Appetite, 57(2), 459-466. http://dx.doi.org/10.1016/j.appet.2011.06.011. PMid:21723894.
http://dx.doi.org/10.1016/j.appet.2011.0...
). Animal cloning shares some similarities with GM technology in terms of consumer awareness and acceptance (Rollin et al., 2011Rollin, F., Kennedy, J., & Wills, J. (2011). Consumers and new food technologies. Trends in Food Science & Technology, 22(2-3), 99-111. http://dx.doi.org/10.1016/j.tifs.2010.09.001.
http://dx.doi.org/10.1016/j.tifs.2010.09...
). Some studies indicated that between 40 and 50% of consumers would not purchase meat or milk derived from cloned animals (International Food Information Council, 2008International Food Information Council - IFIC. (2008, September 6). Food biotechnology: a study of U.S. consumer trends. Washington. Retrieved from: http://www.foodinsight.org/Resources/Detail.aspx?topic=Food_Biotechnology_A_Study_of_U_S_Consumer_Attitudinal_Trends_2008_REPORT
http://www.foodinsight.org/Resources/Det...
; The Gallup Organization, 2008The Gallup Organization. (2008, August 15). Europeans’ attitudes towards animal cloning: analytical report (Flash Eurobarometer Series, Vol. 238). Brussels: European Commission. Retrieved from: http://ec.europa.eu/food/food/resources/docs/eurobarometer_cloning_en.pdf
http://ec.europa.eu/food/food/resources/...
; Aizaki et al., 2011Aizaki, H., Sawada, M., & Sato, K. (2011). Consumers’ attitudes toward consumption of cloned beef: the impact of exposure to technological information about animal cloning. Appetite, 57(2), 459-466. http://dx.doi.org/10.1016/j.appet.2011.06.011. PMid:21723894.
http://dx.doi.org/10.1016/j.appet.2011.0...
; Brooks & Lusk, 2011Brooks, K. R., & Lusk, J. L. (2011). U.S. consumers attitudes toward farm animal cloning. Appetite, 57(2), 483-492. http://dx.doi.org/10.1016/j.appet.2011.06.014. PMid:21736907.
http://dx.doi.org/10.1016/j.appet.2011.0...
). Other studies found that consumers place a higher value on non-cloned products than on cloned products (Butler et al., 2008Butler, L. J., Wolf, M. M., & Bandoni, S. (2008). Consumer attitudes toward milk products produced from cloned cows. Journal of Food Distribution Research, 39(1), 31-35.; Brooks & Lusk, 2010Brooks, K., & Lusk, J. L. (2010). Stated and revealed preferences for organic and cloned milk. Combining choice experiment and scanner data. American Journal of Agricultural Economics, 92(4), 1229-1241. http://dx.doi.org/10.1093/ajae/aaq054.
http://dx.doi.org/10.1093/ajae/aaq054...
, 2012Brooks, K., & Lusk, J. (2012). Public and private preferences for animal cloning policies. Journal of Agricultural and Resource Economics, 37(3), 485-501.; Aizaki et al., 2011Aizaki, H., Sawada, M., & Sato, K. (2011). Consumers’ attitudes toward consumption of cloned beef: the impact of exposure to technological information about animal cloning. Appetite, 57(2), 459-466. http://dx.doi.org/10.1016/j.appet.2011.06.011. PMid:21723894.
http://dx.doi.org/10.1016/j.appet.2011.0...
). However, The Gallup Organization (2008)The Gallup Organization. (2008, August 15). Europeans’ attitudes towards animal cloning: analytical report (Flash Eurobarometer Series, Vol. 238). Brussels: European Commission. Retrieved from: http://ec.europa.eu/food/food/resources/docs/eurobarometer_cloning_en.pdf
http://ec.europa.eu/food/food/resources/...
reported that acceptance of foods obtained from cloned animals differed between countries. To our knowledge, in contrast to other studies that have assessed acceptance of GM foods in developing countries, there are no studies on the acceptance of animal cloning in these nations.

Some authors indicate that acceptance of GM foods is not related to consumer socio-demographic characteristics (Lähteenmäki et al., 2003Lähteenmäki, L., Grunert, K., Ueland, Ø., Åström, A., Arvola, A., & Bech-Larsen, T. (2003). Acceptability of genetically modified cheese presented as real product alternative. Food Quality and Preference, 13(7-8), 523-533. http://dx.doi.org/10.1016/S0950-3293(01)00077-5.
http://dx.doi.org/10.1016/S0950-3293(01)...
), yet several studies report greater willingness to purchase GM foods in men and young people (Mucci et al., 2004Mucci, A., Hough, G., & Ziliani, C. (2004). Factors that influence purchase intent and perceptions of genetically modified foods among Argentine consumers. Food Quality and Preference, 15(6), 559-567. http://dx.doi.org/10.1016/j.foodqual.2004.02.004.
http://dx.doi.org/10.1016/j.foodqual.200...
; Nayga et al., 2006Nayga, R. Jr, Fisher, M., & Onyango, B. (2006). Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea. Agricultural Economics, 34(3), 331-341. http://dx.doi.org/10.1111/j.1574-0864.2006.00129.x.
http://dx.doi.org/10.1111/j.1574-0864.20...
; Rollin et al., 2011Rollin, F., Kennedy, J., & Wills, J. (2011). Consumers and new food technologies. Trends in Food Science & Technology, 22(2-3), 99-111. http://dx.doi.org/10.1016/j.tifs.2010.09.001.
http://dx.doi.org/10.1016/j.tifs.2010.09...
), and those with a higher education (Kimenju & De Groote, 2008Kimenju, S., & De Groote, H. (2008). Consumer willingness to pay for genetically modified food in Kenya. Agricultural Economics, 38(1), 35-46. http://dx.doi.org/10.1111/j.1574-0862.2007.00279.x.
http://dx.doi.org/10.1111/j.1574-0862.20...
; Schnettler et al., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
). Other papers conclude that the type of the consumer’s higher education plays a moderating role in GM food acceptance (Rodríguez-Entrena & Salazar-Ordóñez, 2013Rodríguez-Entrena, M., & Salazar-Ordóñez, M. (2013). Influence of scientific-technical literacy on consumers’ behavioural intentions regarding new food. Appetite, 60(1), 193-202. http://dx.doi.org/10.1016/j.appet.2012.09.028. PMid:23063609.
http://dx.doi.org/10.1016/j.appet.2012.0...
). In terms of food from cloned animals, recent studies have reported that older people (Butler et al., 2008Butler, L. J., Wolf, M. M., & Bandoni, S. (2008). Consumer attitudes toward milk products produced from cloned cows. Journal of Food Distribution Research, 39(1), 31-35.) and those with high school education (Brooks & Lusk, 2011Brooks, K. R., & Lusk, J. L. (2011). U.S. consumers attitudes toward farm animal cloning. Appetite, 57(2), 483-492. http://dx.doi.org/10.1016/j.appet.2011.06.014. PMid:21736907.
http://dx.doi.org/10.1016/j.appet.2011.0...
) are less supportive of cloning than younger people and those with a bachelor’s degree or higher level of education. Additionally, some studies explore neural reactions behind consumers’ choice on food technologies (Lusk et al., 2015Lusk, J., Crespi, J., Cherry, B., McFadden, B., Martin, L., & Bruce, A. (2015). An fMRI investigation of consumer choice regarding controversial food technologies. Food Quality and Preference, 40, 290-220. http://dx.doi.org/10.1016/j.foodqual.2014.10.005.
http://dx.doi.org/10.1016/j.foodqual.201...
) and relate psychological aspects to preferences for certain foods. Recent studies have reported that satisfaction with food-related life is associated with the preference for foods produced with new technologies, such as nanotechnology (Schnettler et al., 2013Schnettler, B., Crisóstomo, G., Sepúlveda, J., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2013). Food neophobia, nanotechnology and satisfaction with life. Appetite, 69, 71-79. http://dx.doi.org/10.1016/j.appet.2013.05.014. PMid:23726986.
http://dx.doi.org/10.1016/j.appet.2013.0...
, 2014Schnettler, B., Crisóstomo, G., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2014). Acceptance of nanotechnology applications and satisfaction with food-related life in southern Chile. Food Science and Technology, 34(1), 157-163. http://dx.doi.org/10.1590/S0101-20612014005000001.
http://dx.doi.org/10.1590/S0101-20612014...
). Therefore, it is expected that the acceptance of foods obtained from GM or cloned animals will differ according to consumer satisfaction with food-related life. The aims of this study were: to compare the acceptance of milk obtained from cloned, GM and conventionally bred cows, taking Chile as a case study in developing countries; to compare preferences for these products in working adults (WA) and university students (USt); and to identify typologies among WA and USt in terms of preferences and characterize them according to their knowledge of these new technologies, socio-demographic characteristics, and level of satisfaction with food-related life.

2 Materials and methods

2.1 Sample and procedure

A personal survey was administered in Temuco, Chile, to a sample of 400 people. This number was obtained using the stratified random sampling formula with simple allocation for non-finite populations (N> 100,000), considering 95% confidence and 5% estimation error with p and q of 0.5 (Fernández, 2002Fernández, A. (2002). Investigación y técnicas de mercado. Spain: Editorial Esic.). Thus, 200 USt and 200 WA were surveyed. The survey was applied in July and August 2013 in person, after the questionnaire had been validated by means of a preliminary test with 10% of the sample. The Bioethics Committee of the Universidad de La Frontera approved the present study.

2.2 Information collection instrument

A questionnaire with closed-ended questions was used to collect information to determine whether the respondents understood the meaning of a cloned or GM animal and the frequency of milk consumption. The questionnaire included the Satisfaction with Food-related Life (SWFL) scale, proposed and tested by Grunert et al. (2007)Grunert, K. G., Dean, M., Raats, M. M., Nielsen, N. A., & Lumbers, M. (2007). A measure of satisfaction with food-related life. Appetite, 49(2), 486-493. http://dx.doi.org/10.1016/j.appet.2007.03.010. PMid:17481776.
http://dx.doi.org/10.1016/j.appet.2007.0...
in eight European countries (Cronbach’s α: 0.81-0.85); the five items on the scale are grouped into a single dimension. The respondents were asked to indicate their degree of agreement with the five items using a 6-point Likert scale (1= disagree completely, 6= agree completely). The Spanish-language version of the SWFL was used, which has shown good levels of internal reliability in previous studies conducted in Chile (Schnettler et al., 2013Schnettler, B., Crisóstomo, G., Sepúlveda, J., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2013). Food neophobia, nanotechnology and satisfaction with life. Appetite, 69, 71-79. http://dx.doi.org/10.1016/j.appet.2013.05.014. PMid:23726986.
http://dx.doi.org/10.1016/j.appet.2013.0...
, 2014Schnettler, B., Crisóstomo, G., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2014). Acceptance of nanotechnology applications and satisfaction with food-related life in southern Chile. Food Science and Technology, 34(1), 157-163. http://dx.doi.org/10.1590/S0101-20612014005000001.
http://dx.doi.org/10.1590/S0101-20612014...
). In this study, Cronbach’s α coefficients were 0.89 in the USt subsample and 0.83 in the WA subsample. Classification questions were included to establish gender, age, family size, area of residence, level of education of the head of the household, and possession of 10 household goods. The combination of these two latter variables in a matrix determines the socio-economic level, classified as ABC1 (high and upper middle), C2 (middle-middle), C3 (lower middle), D (low) and E (very low) (Adimark, 2004Adimark. (2004, October 20). Mapa socioeconómico de Chile. Santiago. Retrieved from: http://www.adimark.cl/medios/estudios/informe_mapa_socioeconomico_de_chile.pdf
http://www.adimark.cl/medios/estudios/in...
). The USt subsample was also asked about the study program in order to classify them as social science or natural science.

In order to evaluate acceptance of milk obtained from conventionally bred, GM and cloned cows, a conjoint analysis (CA) was performed (Hair et al., 1999Hair, J., Anderson, R., Tatham, R., & Black, W. (1999). Análisis multivariante (5th ed.). Madrid: Prentice Hall Internacional.). Table 1 shows the attributes and levels defined for the milk. The price levels were established based on current prices in the Temuco market for 1L of milk at the time of the survey. From these attributes and levels, a total of 243 combinations (3×3×3×3×3) were obtained; however, to facilitate the respondents’ answers, it was decided that a fractional factorial design would be used, obtained with the macro MktEx from the SAS Institute (Kuhfeld, 2010Kuhfeld, W. F. (2010, January 28). Marketing research methods in SAS: experimental design, choice, conjoint and Graphical techniques. SAS 9.2 Edition. Cary. Retrieved from: http://support.sas.com/techsup/technote/mr2010.pdf
http://support.sas.com/techsup/technote/...
). This allowed the number of stimuli to be reduced to twelve with one specification for each attribute. The stimuli were presented to respondents on cards. Each participant ranked twelve cards from most to least preferred using a scale from 1 to 12 (1 = most preferred; 12 = least preferred). Prior to asking the respondents to put the cards in order, the following definitions were read to them: “A GM organism is that in which the genetic material (DNA) has been altered in a way that does not occur naturally. It allows selected individual genes to be transferred from one organism to another, even between non-related species” (World Health Organization, 2009World Health Organization - WHO. (2009, March 15). 20 questions on genetically modified (GM) foods. Geneva. Retrieved from http://www.who.int/foodsafety/publications/biotech/20questions/en/
http://www.who.int/foodsafety/publicatio...
); “Cloning is the process of multiplying single organisms by means of asexual reproduction to create a population of identical individuals” (European Group on Ethics in Science and New Technologies to the European Comission, 2008European Group on Ethics in Science and New Technologies to the European Comission - EGE. (2008, July 16). Ethical aspects of animal cloning for food supply (Opinion, Vol. 23). Brussels: EGE. Retrieved from: http://stopogm.net/sites/stopogm.net/files/ethicalcloning.pdf
http://stopogm.net/sites/stopogm.net/fil...
).

Table 1
Design of the conjoint experiment.

2.3 Statistical analysis

A conjoint analysis was carried out using the TRANSREG procedure by SAS (SAS Institute Inc., Cary, NC, USA). The relative importance consumers gave to the different attributes and the utility values obtained for each level of the selected factors were determined. The root mean square error (RMSE) was calculated to measure the difference between the observed and the predicted data. An independent sample t-test was applied to investigate potential significant differences in the mean responses for USt and WA. A hierarchical cluster analysis was chosen to determine consumer segments according to the partial utility scores of the attribute levels. A cluster analysis was carried out separately in the USt and WA subsamples. Ward’s procedure, which calculates the squared Euclidean distance, was carried out using the CLUSTER procedure by SAS. To describe the segments, the Chi-squared test was applied to the discrete variables and a one-factor analysis of variance to the continuous variables (99% and 95% confidence level). Since the Levene’s statistic indicated non-homogeneous variances in all of the continuous variables analyzed, the variables for which the analysis of variance resulted in significant differences (P<0.001) were subjected to Dunnett’s T3 multiple comparisons test.

3 Results and discussion

Table 2 shows the sample description. The sample was balanced according to gender, and was composed principally of people from families with three or four members, people residing in urban areas, people from the ABC1 and C2 socio-economic groups, and people belonging to families where the head of the household had a high-school education. The greatest proportion of participants consumed milk daily or occasionally. A large number of respondents stated they knew the meaning of cloned or GM. 49% of the students was studying in the area of social sciences and 51% in natural sciences. The mean score of the SWFL in the total sample was 24.6 (SD=3.76) from a theoretical maximum of 30. The RMSE of the conjoint analysis was 0.16, which indicated a good goodness-of-fit. According to the conjoint analysis (Table 3) for the entire sample, the attribute of greatest importance during the purchase process was the production technology, followed by the price, brand, fat content, and finally the package. The signs of the utility values indicate preference for milk from a conventional animal in keeping with previous studies that have evaluated the acceptance of GM foods (International Food Information Council, 2014International Food Information Council - IFIC. (2014, August 20). Consumer perceptions of food technology survey. Washington. Retrieved from: http://www.foodinsight.org/2014-foodtechsurvey
http://www.foodinsight.org/2014-foodtech...
; Lähteenmäki et al., 2003Lähteenmäki, L., Grunert, K., Ueland, Ø., Åström, A., Arvola, A., & Bech-Larsen, T. (2003). Acceptability of genetically modified cheese presented as real product alternative. Food Quality and Preference, 13(7-8), 523-533. http://dx.doi.org/10.1016/S0950-3293(01)00077-5.
http://dx.doi.org/10.1016/S0950-3293(01)...
; Mucci et al., 2004Mucci, A., Hough, G., & Ziliani, C. (2004). Factors that influence purchase intent and perceptions of genetically modified foods among Argentine consumers. Food Quality and Preference, 15(6), 559-567. http://dx.doi.org/10.1016/j.foodqual.2004.02.004.
http://dx.doi.org/10.1016/j.foodqual.200...
; Siegrist, 2008Siegrist, M. (2008). Factors influencing public acceptance of innovative food technologies and products: food innovation management. Trends in Food Science & Technology, 19(11), 603-608. http://dx.doi.org/10.1016/j.tifs.2008.01.017.
http://dx.doi.org/10.1016/j.tifs.2008.01...
; Schnettler et al., 2010Schnettler, B., Avila, R., Sepúlveda, N., Miranda, H., Sepúlveda, J., & Denegri, M. (2010). Preference for beef with different types of genetic modification in Temuco, La Araucanía Region, Chile. Revista Científica-Facultad de Ciencias Veterinarias, 20(5), 537-545., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
) in both developed and developing countries, and cloned (Aizaki et al., 2011Aizaki, H., Sawada, M., & Sato, K. (2011). Consumers’ attitudes toward consumption of cloned beef: the impact of exposure to technological information about animal cloning. Appetite, 57(2), 459-466. http://dx.doi.org/10.1016/j.appet.2011.06.011. PMid:21723894.
http://dx.doi.org/10.1016/j.appet.2011.0...
; Creative Research, 2008Creative Research. (2008, July 16). Animal cloning and implications for the food chain. Findings of research among the general public. London: Creative Research. Retrieved from: http://www.food.gov.uk/multimedia/pdfs/clonereport.pdf
http://www.food.gov.uk/multimedia/pdfs/c...
; International Food Information Council, 2008International Food Information Council - IFIC. (2008, September 6). Food biotechnology: a study of U.S. consumer trends. Washington. Retrieved from: http://www.foodinsight.org/Resources/Detail.aspx?topic=Food_Biotechnology_A_Study_of_U_S_Consumer_Attitudinal_Trends_2008_REPORT
http://www.foodinsight.org/Resources/Det...
; Brooks & Lusk, 2010Brooks, K., & Lusk, J. L. (2010). Stated and revealed preferences for organic and cloned milk. Combining choice experiment and scanner data. American Journal of Agricultural Economics, 92(4), 1229-1241. http://dx.doi.org/10.1093/ajae/aaq054.
http://dx.doi.org/10.1093/ajae/aaq054...
, 2011Brooks, K. R., & Lusk, J. L. (2011). U.S. consumers attitudes toward farm animal cloning. Appetite, 57(2), 483-492. http://dx.doi.org/10.1016/j.appet.2011.06.014. PMid:21736907.
http://dx.doi.org/10.1016/j.appet.2011.0...
, 2012Brooks, K., & Lusk, J. (2012). Public and private preferences for animal cloning policies. Journal of Agricultural and Resource Economics, 37(3), 485-501.; Saeed et al., 2015Saeed, A., Abubakar, M., & Kanwal, S. (2015). Future challenges related to animal biotechnology. In M. Abubakar, A. Saeed & O. Kul (Eds.), The role of biotechnology in improvement of livestock (chap. 7, pp. 135-147). Berlin: Springer-Verlag Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-662-46789-3.
http://dx.doi.org/10.1007/978-3-662-4678...
) in developed countries. Nevertheless, in the case of GM foods, it contradicts the results of studies carried out both in developing (Costa et al., 2000Costa, M. C., Deliza, R., Rosenthal, A., Hedderley, D., & Frewer, L. (2000). Non conventional technologies and impact on consumer behavior. Trends in Food Science & Technology, 11(4-5), 188-193. http://dx.doi.org/10.1016/S0924-2244(00)00052-2.
http://dx.doi.org/10.1016/S0924-2244(00)...
; Kimenju & De Groote, 2008Kimenju, S., & De Groote, H. (2008). Consumer willingness to pay for genetically modified food in Kenya. Agricultural Economics, 38(1), 35-46. http://dx.doi.org/10.1111/j.1574-0862.2007.00279.x.
http://dx.doi.org/10.1111/j.1574-0862.20...
; De Steur et al., 2010De Steur, H., Gellynck, X., Storozhenko, S., Liqun, G., Lambert, W., Van Der Straeten, D., & Viaene, J. (2010). Willingness-to-accept and purchase genetically modified rice with high folate content in Shanxi Province, China. Appetite, 54(1), 118-125. http://dx.doi.org/10.1016/j.appet.2009.09.017. PMid:19815041.
http://dx.doi.org/10.1016/j.appet.2009.0...
) and developed countries (Cox et al., 2011Cox, D. N., Evans, G., & Lease, H. J. (2011). The influence of product attributes, consumer attitudes and characteristics on the acceptance of: (1) Novel bread and milk, and dietary supplements and (2) fish and novel meats as dietary vehicles of long chain omega 3 fatty acids. Food Quality and Preference, 22(2), 205-212. http://dx.doi.org/10.1016/j.foodqual.2010.10.003.
http://dx.doi.org/10.1016/j.foodqual.201...
). Using conjoint analysis, Cox et al. (2011)Cox, D. N., Evans, G., & Lease, H. J. (2011). The influence of product attributes, consumer attitudes and characteristics on the acceptance of: (1) Novel bread and milk, and dietary supplements and (2) fish and novel meats as dietary vehicles of long chain omega 3 fatty acids. Food Quality and Preference, 22(2), 205-212. http://dx.doi.org/10.1016/j.foodqual.2010.10.003.
http://dx.doi.org/10.1016/j.foodqual.201...
found in an US sample that consumers reported preferences for milk from cows fed with GM oilseed. Our findings confirm, however, that consumers may perceive new food technologies as riskier than traditional food technologies (Siegrist, 2008Siegrist, M. (2008). Factors influencing public acceptance of innovative food technologies and products: food innovation management. Trends in Food Science & Technology, 19(11), 603-608. http://dx.doi.org/10.1016/j.tifs.2008.01.017.
http://dx.doi.org/10.1016/j.tifs.2008.01...
). Barcellos et al. (2010)Barcellos, M., Kügler, J., Grunert, K. G., Van Wezemael, L., Pérez-Cueto, F., Ueland, Ø., & Verbeke, W. (2010). European consumers’ acceptance of beef processing technologies: A focus group study. Innovative Food Science & Emerging Technologies, 11(4), 721-732. http://dx.doi.org/10.1016/j.ifset.2010.05.003.
http://dx.doi.org/10.1016/j.ifset.2010.0...
concluded that invasive technologies tending to deviate from conventional processing practices are widely rejected. In addition, the rejection of GM and cloning can be explained by the food used in this study. The more a product is seen as natural or healthful, as is the case with milk, the less acceptable a GM version of that product will be (Tenbült et al., 2005Tenbült, P., Vries, N. K., Dreezens, E., & Martijn, C. (2005). Perceived naturalness and acceptance of genetically modified food. Appetite, 45(1), 47-50. http://dx.doi.org/10.1016/j.appet.2005.03.004. PMid:15896875.
http://dx.doi.org/10.1016/j.appet.2005.0...
). Therefore, future research must include other foods obtained from GM or cloned animals, to assess whether the response is associated with the food studied.

Table 2
Description in percentage of the sample. Temuco, Chile. August, 2013.
Table 3
Relative importance for overall sample and subsamples based on preferences to milk produced conventionally, by cloning or by GM.

Consumers preferred the brands Nestlé and Soprole (greatest preference for Nestlé) and rejected Surlat, which is the least established brand in the Chilean dairy market. In this regard, some studies report that trustworthy brands reduce the risk associated with the purchase of a food produced with new technologies like GM (Costa et al., 2000Costa, M. C., Deliza, R., Rosenthal, A., Hedderley, D., & Frewer, L. (2000). Non conventional technologies and impact on consumer behavior. Trends in Food Science & Technology, 11(4-5), 188-193. http://dx.doi.org/10.1016/S0924-2244(00)00052-2.
http://dx.doi.org/10.1016/S0924-2244(00)...
; Mucci et al., 2004Mucci, A., Hough, G., & Ziliani, C. (2004). Factors that influence purchase intent and perceptions of genetically modified foods among Argentine consumers. Food Quality and Preference, 15(6), 559-567. http://dx.doi.org/10.1016/j.foodqual.2004.02.004.
http://dx.doi.org/10.1016/j.foodqual.200...
; Schnettler et al., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
) or nanotechnology (Schnettler et al., 2014Schnettler, B., Crisóstomo, G., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2014). Acceptance of nanotechnology applications and satisfaction with food-related life in southern Chile. Food Science and Technology, 34(1), 157-163. http://dx.doi.org/10.1590/S0101-20612014005000001.
http://dx.doi.org/10.1590/S0101-20612014...
), although such an interaction effect cannot be studied in the present design.

In contrast to what was expected, significant differences were only detected between the subsamples in the importance assigned to brand and fat content (P≤0.05) and not in the preferences for milk from a conventional, GM or cloned cow.

This result contradicts studies that indicate that young people have a more positive attitude to GM foods (Mucci et al., 2004Mucci, A., Hough, G., & Ziliani, C. (2004). Factors that influence purchase intent and perceptions of genetically modified foods among Argentine consumers. Food Quality and Preference, 15(6), 559-567. http://dx.doi.org/10.1016/j.foodqual.2004.02.004.
http://dx.doi.org/10.1016/j.foodqual.200...
; Nayga et al., 2006Nayga, R. Jr, Fisher, M., & Onyango, B. (2006). Acceptance of genetically modified food: comparing consumer perspectives in the United States and South Korea. Agricultural Economics, 34(3), 331-341. http://dx.doi.org/10.1111/j.1574-0864.2006.00129.x.
http://dx.doi.org/10.1111/j.1574-0864.20...
; Rollin et al., 2011Rollin, F., Kennedy, J., & Wills, J. (2011). Consumers and new food technologies. Trends in Food Science & Technology, 22(2-3), 99-111. http://dx.doi.org/10.1016/j.tifs.2010.09.001.
http://dx.doi.org/10.1016/j.tifs.2010.09...
) and those obtained from cloned animals (Butler et al., 2008Butler, L. J., Wolf, M. M., & Bandoni, S. (2008). Consumer attitudes toward milk products produced from cloned cows. Journal of Food Distribution Research, 39(1), 31-35.). The results of this study suggest that acceptance of foods derived from GM or cloned animals is negative in the study sample, and it is expected that this will not change in the future when the current USt are charge of food purchases for their homes. These attitudes are noteworthy, as stated by Šorgo & Ambrožič-Dolinšek (2010)Šorgo, A., & Ambrožič-Dolinšek, J. (2010). Knowlege of, attitudes toward, and acceptance of genetically modified organisms among prospective teachers of biology, home economics, and grade school in Slovenia. Biochemistry and Molecular Biology Education, 38(3), 141-150. http://dx.doi.org/10.1002/bmb.20377. PMid:21567816.
http://dx.doi.org/10.1002/bmb.20377...
, because public acceptance may play a major role in determining the advancement of biotechnology development.

The cluster analysis distinguished three consumer types in the USt subsample and four groups in the WA subsample. In the USt subsample the groups differed significantly in terms of preference for almost all attribute levels (P≤0.001 or P≤0.05), except in the preferences for the Tetra Pak with the basic flat top (P>0.1) (P≤0.001 or P≤0.05). The groups also differed in terms of importance assigned to all the attributes (Table 4). These groups differed significantly (Table 5) in terms of area of residence (P≤0.05): Sensitive to the technology, rejection of cloning. Group USt 1 (37.5%): This group assigned greatest importance to the production technology. They preferred milk from a conventional animal, although significantly less than Group 2. It stands out as the group with the greatest rejection of milk from a cloned animal (Table 4). Sensitive to the technology, rejection of GM. Group USt 2 (31.5%):This group placed greatest importance on the production technology and showed the greatest preference for milk from a conventional animal, significantly more than the other groups. This group stood out for the significant rejection of milk from a GM animal and the lowest rejection of milk from a cloned animal (Table 4). Sensitive to price. Group USt 3 (31.0%):This group assigned significantly greater importance to the cost of the milk. They stood out as being the only ones who preferred milk of a GM animal. Also, it was the group that showed the least preference for milk from a conventional animal (Table 4). This group had a higher number of people living in an urban area (Table 5).

Table 4
Distribution and relative importance for clusters in both subsamples based on preferences to milk produced conventionally, cloned and GM.
Table 5
Characteristics with significant differences in the groups identified by cluster analysis in both subsamples.

In the WA subsample the groups differed significantly in terms of preference for almost all attribute levels (P≤0.001 or P≤0.05), except in the preferences for semi-skimmed and whole milk (P>0.1). The groups also differed in terms of importance assigned to all the attributes (P≤0.001 or P≤0.05) (Table 4). These groups differed significantly (Table 5) in terms of whether they knew what an animal being GM meant and in the frequency of milk consumption (P≤0.05): Sensitive to price. Group WA 1 (11.0%): This group gave greatest importance to the price. It was the only group that preferred milk from a cloned animal (Table 4). It comprised a greater proportion of people that did not know the meaning of a GM animal (Table 5). Sensitive to the technology, rejection of GM. Group WA 2 (55.0%): This group assigned high importance to the production technology, although significantly less than Group 3. They preferred milk from a conventional animal and showed the greatest rejection of milk from a GM animal. Sensitive to the technology, rejection of cloning. Group WA 3 (14.0%): This group assigned the greatest importance to the production technology, significantly higher than the other groups. They showed to the greatest preference for milk from a conventional cow and the greatest rejection of cloning. The rejection of milk from a GM animal was less than in Groups 1 and 2 (Table 4). Sensitive to brand, price and production technology. Group WA 4 (20.0%): This group gave significantly greater importance to the brand. This group stood out as being the only group that preferred milk from a GM animal. The rejection of milk from a cloned animal was lower than in Groups 2 and 3. Group 4 comprised a smaller proportion of people who consume milk daily (Table 5).

In summary, in both subsamples there were two segments sensitive to production technology (USt subsample: 62.5%, WA subsample: 69.0%, in total), one with greater rejection of cloning (USt: 37.5%, WA: 14.0%) and the other with greater rejection of GM (USt: 31.5%, WA: 55.0%). Both subsamples revealed a type sensitive to the price, with a high preference for the lowest. Only the WA subsample contained a type sensitive to the brand, price and production technology, which showed a preference for milk from a cloned animal. Therefore, even though the overall test of differences between the subsamples, in their preferences for the technology associated with the animal from which the milk was obtained, did not yield any significant differences, the results of the cluster analysis suggested a greater rejection of cloning among the USt and a greater rejection of GM among the WA. However, it is worth noting that all the types identified in both subsamples preferred milk from a conventionally bred animal. The majority preferred the best-established brands in the market (except Group 1 WA subsample), confirming that brand helps reduce the risk of buying foods produced with new technologies (Frewer et al., 2011Frewer, L. J., Bergmann, K., Brennan, M., Lion, R., Meertens, R., Rowe, G., Siegrist, M., & Vereijken, C. (2011). Consumer response to novel agri-food technologies: implications for predicting consumer acceptance of emerging food technologies. Trends in Food Science & Technology, 22(8), 442-456. http://dx.doi.org/10.1016/j.tifs.2011.05.005.
http://dx.doi.org/10.1016/j.tifs.2011.05...
; Rollin et al., 2011Rollin, F., Kennedy, J., & Wills, J. (2011). Consumers and new food technologies. Trends in Food Science & Technology, 22(2-3), 99-111. http://dx.doi.org/10.1016/j.tifs.2010.09.001.
http://dx.doi.org/10.1016/j.tifs.2010.09...
; Schnettler et al., 2012Schnettler, B., Miranda, H., Sepúlveda, J., & Denegri, M. (2012). Consumer preferences of genetically modified foods of vegetal and animal origin in Chile. Food Science and Technology, 32(1), 15-25. http://dx.doi.org/10.1590/S0101-20612012005000025.
http://dx.doi.org/10.1590/S0101-20612012...
, 2014Schnettler, B., Crisóstomo, G., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2014). Acceptance of nanotechnology applications and satisfaction with food-related life in southern Chile. Food Science and Technology, 34(1), 157-163. http://dx.doi.org/10.1590/S0101-20612014005000001.
http://dx.doi.org/10.1590/S0101-20612014...
), such as GM and cloning. The results concerning significant differences between the groups are in line with studies that indicate that acceptance of GM foods is not related to consumer characteristics (Lähteenmäki et al., 2003Lähteenmäki, L., Grunert, K., Ueland, Ø., Åström, A., Arvola, A., & Bech-Larsen, T. (2003). Acceptability of genetically modified cheese presented as real product alternative. Food Quality and Preference, 13(7-8), 523-533. http://dx.doi.org/10.1016/S0950-3293(01)00077-5.
http://dx.doi.org/10.1016/S0950-3293(01)...
).

However, the greatest presence of participants resident in urban areas in Group 3 of the USt subsample is consistent with a qualitative study that found that urban consumers were more prone to accept innovations in traditional food products (Guerrero et al., 2009Guerrero, L., Guàrdia, M. D., Xicola, J., Verbeke, W., Vanhonacker, F., Zakowska-Biemans, S., Sajdakowska, M., Sulmont-Rossé, C., Issanchou, S., Contel, M., Scalvedi, M. L., Granli, B. S., & Hersleth, M. (2009). Consumer-driven definition of traditional food products and innovation in traditional foods: a qualitative cross-cultural study. Appetite, 52(2), 345-354. http://dx.doi.org/10.1016/j.appet.2008.11.008. PMid:19084040.
http://dx.doi.org/10.1016/j.appet.2008.1...
). The lower frequency of daily milk consumption in Group 4 by the WA subsample seems to confirm that the preferences for GM foods are related to food consumption habits (Schnettler et al., 2010Schnettler, B., Avila, R., Sepúlveda, N., Miranda, H., Sepúlveda, J., & Denegri, M. (2010). Preference for beef with different types of genetic modification in Temuco, La Araucanía Region, Chile. Revista Científica-Facultad de Ciencias Veterinarias, 20(5), 537-545.). The greater presence of people that did not know the meaning of an animal being GM in Group 1 of the WA subsample could partly explain the rejection of GM and the acceptance of cloning. However, results of this type (n=22) must be taken with caution, because it is risky to draw conclusions based on segments with such a low number of consumers (McEwan, 1997McEwan, J. A. (1997). A comparative study of three product acceptability trials. Food Quality and Preference, 8(3), 183-190. http://dx.doi.org/10.1016/S0950-3293(96)00047-X.
http://dx.doi.org/10.1016/S0950-3293(96)...
). The same criterion must be applied to Group 3 (n=28) of the WA subsample, which was the one that gave greatest importance to the production technology, with the greatest preference for milk from a conventional animal and the greatest rejection of cloning. Therefore, it is possible to indicate that previous knowledge of technologies in this study may not be associated with the acceptance of GM and cloning in the subsamples studied, in keeping with the results of Aizaki et al. (2011)Aizaki, H., Sawada, M., & Sato, K. (2011). Consumers’ attitudes toward consumption of cloned beef: the impact of exposure to technological information about animal cloning. Appetite, 57(2), 459-466. http://dx.doi.org/10.1016/j.appet.2011.06.011. PMid:21723894.
http://dx.doi.org/10.1016/j.appet.2011.0...
. One notable result is that statistical differences between types were not detected according to the education level in either subsample, nor according to the type of program the students are enrolled in in the USt subsample. This contradicts the reports by Kimenju & De Groote (2008)Kimenju, S., & De Groote, H. (2008). Consumer willingness to pay for genetically modified food in Kenya. Agricultural Economics, 38(1), 35-46. http://dx.doi.org/10.1111/j.1574-0862.2007.00279.x.
http://dx.doi.org/10.1111/j.1574-0862.20...
. It also contradicts the results of Rodríguez-Entrena & Salazar-Ordóñez (2013)Rodríguez-Entrena, M., & Salazar-Ordóñez, M. (2013). Influence of scientific-technical literacy on consumers’ behavioural intentions regarding new food. Appetite, 60(1), 193-202. http://dx.doi.org/10.1016/j.appet.2012.09.028. PMid:23063609.
http://dx.doi.org/10.1016/j.appet.2012.0...
, who reported a positive attitude to GM food in natural science students. In this study no differences were detected associated with the respondent’s satisfaction with food-related life. This is in contrast to studies that report that people with a high level of satisfaction with food-related life are more receptive to the use of nanotechnology in food production (Schnettler et al., 2013Schnettler, B., Crisóstomo, G., Sepúlveda, J., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2013). Food neophobia, nanotechnology and satisfaction with life. Appetite, 69, 71-79. http://dx.doi.org/10.1016/j.appet.2013.05.014. PMid:23726986.
http://dx.doi.org/10.1016/j.appet.2013.0...
, 2014Schnettler, B., Crisóstomo, G., Mora, M., Lobos, G., Miranda, H., & Grunert, K. G. (2014). Acceptance of nanotechnology applications and satisfaction with food-related life in southern Chile. Food Science and Technology, 34(1), 157-163. http://dx.doi.org/10.1590/S0101-20612014005000001.
http://dx.doi.org/10.1590/S0101-20612014...
). This result may indicate that the positive relationship between satisfaction with food-related life and acceptance of nanotechnology cannot be generalized to the other new technologies in food production.

4 Conclusions

In Southern Chile, using a sample of WA and USt, it was found that the attribute of greatest importance in the milk purchase decision process was the production technology, followed by price, brand, fat content, and package. Survey participants preferred milk from a conventional animal and rejected milk from a cloned cow. Although a comparison of the preferences for technologies associated with animals revealed no differences between WA and USt, the cluster analysis performed separately on both subsamples showed that a greater proportion of USt rejects cloning and a greater proportion of WA rejects GM.

Acknowledgements

The results presented correspond to Fondecyt Project 1130165.

  • Practical Application: Information on relative consumer acceptance regarding genetically modified or cloned origin of animal products may allow the production sector, government agencies and sellers to project which technology may be most successful in the market, both in the medium and long term.

References

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Publication Dates

  • Publication in this collection
    15 Sept 2015
  • Date of issue
    Jul-Sep 2015

History

  • Received
    24 Apr 2015
  • Accepted
    06 Aug 2015
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