search
for
 About Bioline  All Journals  Testimonials  Membership  News


Chilean Journal of Agricultural Research
Instituto de Investigaciones Agropecuarias, INIA
ISSN: 0718-5820 EISSN: 0718-5839
Vol. 68, Num. 4, 2008, pp. 380-390

Chilean Journal of Agricultural Research (formerly Agricultura Técnica), Vol. 68, No. 4, Oct-Dec, 2008, pp. 380-390

Research

Acceptance of transgenic milk in la Araucanía region, Chile

Aceptación de leche transgénica en la Región de la Araucanía, Chile.

Berta Schnettler M. [1]*, Oriana Sepúlveda B.1, and Danilo Ruiz F.1

[1] Universidad de La Frontera, Facultad de Ciencias Agropecuarias y Forestales, Casilla 54-D, Temuco, Chile. E-mail: bschnett@ufro.cl    *Corresponding author.

Received: 1 August 2007. 
Accepted: 6 November 2007.

Code Number: cj08040

ABSTRACT 

Considering the high level of concern caused by genetically modified foods (GMF) in developed countries, the relevance of this variable in decision-making about the purchase of fluid milk among consumers in Temuco (La Araucanía Region, Chile) was determined. By means of a personal survey of 400 people and using conjoint analysis, it was determined that the presence of genetic modifications in food was more important (44.7%) than brand (29.5%) and price (25.5%) in the decision-making process. By cluster analysis three segments were identified; the largest group (46.5%) gave similar relevance to food production and brand, preferring genetically modified milk. For the second group (41.5%), the presence or absence of genetic modification was the most important variable in the purchase, with a strong rejection of milk produced by genetic manipulation and preference for non-transgenic milk. The minority segment (12.0%) placed a higher value on price. These three segments prefer national brand milk, reject the product with private brands and react positively to lower prices. The most sensitive segment to  genetic food manipulation had a higher proportion of people under 35 years of age and with no children. It is concluded that the absence of genetic manipulation in food is a desirable condition, mainly for young consumers of La Araucanía Region.

Key words: genetically modified foods (GMF), fluid milk, cluster analysis, conjoint analysis.

RESUMEN 

Considerando el debate generado por los alimentos genéticamente modificados (GMF) en los países desarrollados, se determinó la importancia de esta variable en la decisión de compra de leche fluida en consumidores de Temuco (Región de La Araucanía, Chile) y la existencia de diferentes segmentos de mercado, mediante una encuesta personal a 400 personas. Utilizando análisis conjunto se determinó, en general, que la presencia de modificación genética en el alimento fue más importante (44,7%) que la marca (29,5%) y el precio (25,5%) en la decisión de compra. Mediante análisis cluster se distinguieron tres segmentos; el más numeroso (46,5%) dio similar importancia a la forma de producción del alimento y a la marca, con preferencia por leche con manipulación genética. Para el segundo grupo (41,5%) la presencia o ausencia de manipulación genética fue la variable de mayor importancia en la compra, con un elevado rechazo hacia la leche producida con manipulación genética y una elevada preferencia por leche no transgénica. El segmento minoritario (12,0%) presentó la mayor valoración del precio. Los tres segmentos prefieren leche de marca nacional, rechazan el producto con marca propia, y reaccionan positivamente frente a menores precios. El segmento más sensible a la presencia de manipulación genética en el alimento estuvo constituido en mayor proporción por personas menores de 35 años y pertenecientes a hogares sin hijos. Se concluye que la ausencia de manipulación genética en los alimentos es una condición deseable, principalmente para consumidores jóvenes de la Región de La Araucanía.

Palabras clave: alimentos genéticamente modificados, leche, análisis conjunto, análisis cluster.

INTRODUCTION 

In recent years a debate has emerged about the risks to human health and the benefits associated with consuming genetically modified food (GMF), or transgenic foods.  In transgenic foods a gene is sought from a living being (animal, plant, bacteria or virus) that codifies a protein; such as an enzyme that interferes with the maturation of fruits, inhibits viral multiplication or causes a structural or organoleptic characteristic that confers an increase in nutritive content or greater resistance to a herbicide. This gene is introduced into the genetic material that is to be improved or modified. The desired characteristics are obtained by this means, avoiding the slow process of selection and crossbreeding of crops or animals that has been done traditionally.

Nevertheless, there are potential risks with GMF, such as provoking allergies, increasing resistance to antibiotics, loss or modification of the nutritional value of foods, presence of toxic compounds, the appearance of new and untreatable diseases, damage to wild plants (Reyes and Rozowski, 2003) and the appearance of resistant weeds (Frewer et al., 2004), which are the basis of the rejection of genetic modification by ecological organizations.

The only specific standard in Chile in relation to transgenic foods is found in a resolution of the Agricultural and Livestock Service (SAG) on Standards and Regulation on Transgenic Materials (Ríos, 2004). According to this decree, the only transgenic products permitted as imports are seeds for production for the export market.  The use of transgenic products for food consumption in Chile is not permitted. The General Environmental Law considers the use of transgenic products as an activity that should be subject to an obligatory environmental impact study, but this is not applied. Chile is currently importing transgenic food, in particular corn (Zea mays L.) and soya (Glycine max L.) from Argentina and the United States. It is not known with exactitude the quantity of transgenic food that is entering the country, given that grains arrived with transgenic and non-transgenic grains mixed together, while elaborated products arrive unlabeled (Ríos, 2004).

Numerous studies recognize consumer preference for foods without genetic manipulation and a rejection of transgenic foods (Lusk et al., 2001; Mendenhall and Evenson, 2002; Lusk et al., 2003; Larue et al., 2004; Ganiere et al., 2006; Ho et al., 2006), while other research suggests that consumers may not be concerned about the transgenic condition of a food product (Townsend and Campbell, 2004; Townsend, 2006). In effect, consumer resistance to genetic modifications is not universal (Mucci and Hough, 2003).  Attitudes toward biotechnology depend on what organism is applied and the type of modification made. Genetic modifications of microorganisms are more acceptable than modifications to animals (Frewer et al., 1997). Roosen et al. (2003) determined that European consumers are not only concerned about the direct consumption of GMF, but also about indirect consumption through the use of GMF in animal feed. Lusk et al. (2003) determined that European consumers are more willing than US consumers to pay a higher price for beef from animals that were not fed with genetically modified corn. Likewise, modifications that tend toward reducing the use of pesticides is more accepted than if itimply a reduction in costs (Kaye-Blake et al., 2005) or benefit the consumer as well as producers and agro-industry (Lähteenmäki et al., 2003). 

The attitude of consumers toward GMF is determined by the perceived risks and benefits, which are in turn determined by levels of knowledge about GMF (Verdume and Viaene, 2003; Hossain et al., 2003; Townsend, 2006; Chen and Li, 2007). Substantial benefits, such as lower prices (Noussair et al., 2002; Hossain et al., 2003; Jaeger et al., 2004; Noussair et al., 2004), greater nutritive value (IFIC, 2001; Lähteenmäki et al., 2003), benefits for health or for the environment (Frewer et al., 1996; Mucci and Hough, 2003; Lähteenmäki et al., 2003) or better flavor (Lähteenmäki et al., 2003), compensate for the perceived risk, resulting in a positive attitude toward GMF. Consumers are more willing to buy GMF with brand names known in relation to generic GMF foods because the known brands inspire more confidence (Verdume and Viaene, 2003). On the other hand, while some research reveals a greater willingness to purchase GMF among men and the middle-aged (Gamble et al., 2000; Mendenhall and Evenson, 2002; Verdume and Viaene, 2003; Hossain et al., 2003), there is a greater level of rejection among older persons and those with a lower level of education (Baker and Burnham, 2002; Ganiere et al., 2006), others studies indicate acceptance of GMF is not related to the social-economic and demographic characteristics of consumers (Lusk et al., 2001; Hossain and Onyango, 2004) or that the impact of these factors is low  (Lähteenmäki et al., 2003).

The objective of this study was to distinguish different segments among consumers in the city of Temuco, capital of La Araucanía Region, Chile, in relation to the relative importance of relevant attributes of the product (price, brand name) and the transgenic condition in the decision to purchase a food product of animal origin.

MATERIALS AND METHODS 

A personal survey was carried out with a sample of 400 consumers over the age of 18 in the city of  Temuco, capital of the La Araucanía Region. The number of consumers was obtained through the simple random sample formula for an infinite population (N > 100,000; Temuco: 245,347 inhabitants in the 2002 census (INE, 2003), considering a 95% level of confidence and 5% estimation error, with p and q of 0.5 (Fernández, 2002).

A questionnaire was used as the instrument to gather information, with closed questions in relation to whether the respondent had received information about GMF, if they knew the significance of the concept and frequency in reading labels of the food products they purchase.  Subsequently, respondents were requested to read the following definition of genetically modified food: “transgenic foods are those to which a foreign gene has been introduced artificially at the level of the embryo, such that with reproduction, the new characteristic is maintained, for example, to eliminate the need to use pesticides, fungicides and herbicides ” (adapted by the authors drawing on the work of Reyes and Rozowski, 2003), and they were then asked if they considered it necessary that labels indicate that the food contains genetically modified ingredients. Questions were included to classify the respondents: gender, age, area of residence, presence of children and their ages, occupation, the level of studies of the head of the household and the ownership of 10 domestic goods.  The last two variables were included to determine the socioeconomic group corresponding to ABC1 (high and medium high), C2 (medium-medium), C3 (medium-low), D (low) and E (very low) (Adimark, 2004). The survey was applied in two supermarkets in Temuco between April and June 2006, following validation of the questionnaire through a pre-test with 10% of the sample.

To determine the importance of the transgenic condition of a food in the purchasing decision, a conjoint analysis was used, corresponding to a decomposition method that allows for estimating the relative importance of the attributes of a product and the partial utility values (preference) for each level of an attribute (Hair et al., 1999). The analysis was made to determine the importance of the attributes: the presence or absence of genetic manipulation, brand and price in the purchase of fluid milk.  The choices of brand and price as attributes to evaluate were made with the objective of determining if the presence of a known brand (Verdume and Viaene, 2003; Finucane and Holup, 2005) or a lower price (Noussair et al., 2002; Hossain et al., 2003; Jaeger et al., 2004; Noussair et al., 2004) succeed in compensating for the perceived risk in purchasing a transgenic food product. As well, the results of a previous study in Temuco by Viñuela et al. (2007) were considered, which determined that the brand was more important than the container or the price in the purchase of fluid milk.

For the first attribute, the levels transgenic and non-transgenic were defined. For the attribute of brand, the levels of national brand and store brand were defined, understanding store or private brand as a brand created for, controlled by and/or sold by retailers, while a product with a brand sold by the producer through wholesalers is understood as a national brand (Sethuraman and Cole, 1999). A well-known brand was used for the national brand, in this case named Lactea. The price levels were established based on the average market price in Temuco at the time of the survey ($400 L-1 fluid milk), over which 10% was added and subtracted, giving the levels of $440 L-1 and $360 L-1. Eight combinations were obtained based on these attributes and levels (2 x 2 x 2) identified with letters from A to H: A) transgenic fluid milk-Lactea-$440 L-1; B) transgenic fluid milk-Lactea-$360 L-1; C) transgenic fluid milk-store brand-$440 L-1; D) transgenic fluid milk-store brand-$360 L-1; E) non-transgenic fluid milk-Lactea-$440 L-1; F) non-transgenic fluid milk-Lactea-$360 L-1; G) non-transgenic fluid milk-store brand-$440 L-1; and H) non-transgenic fluid milk-store brand-$360 L-1.

The function of preference corresponded to the Ideal Point Model (Hair et al., 1999). The total profile procedure was used to collect data, for which eight cards were prepared with a specification for each attribute. Survey respondents were asked to order the cards from the most preferred to the least preferred, using a scale of 1 to 8 (1 = most preferred; 8 = least preferred). A lineal relationship was established for the price attribute, given that generally the higher the price, the lower the utility or preference. The remaining variables were considered as discrete variables. The Pearson correlation was used to determine the goodness of fit of the model, and the Kendall Tau was used to determine if the estimated ordering of the stimuli corresponded to the real ordering of the survey respondents (Hair et al., 1999).

Based on the results of the conjoint analysis, the marginal willingness to pay (Mg-WTP) for food without genetic manipulation was calculated. In accordance with Gan and Luzar (1993), the Mg-WTP was estimated by means of the negative quotient between the coefficient (partial utility value) of each level of an attribute and price attribute coefficient (valor β). The calculation procedure was the following:

                                                                  [1]

To determine the consumer segments according to the importance and utility of the presence or absence of genetic manipulation, brand name and price, a cluster analysis of hierarchical conglomerates was used, with Ward’s method of linkage and squared Euclidean distanceas a measure of the similarity among objects (Hair et al., 1999). The number of clusters was obtained through observation of the dendrogram and was confirmed with determination of the percentage of change of the recomposed conglomeration coefficients. To describe the segments, a Chi2 test was applied for the discrete variables and one-factor analysis of variance for values of importance of the attributes and utilities of the levels of the attributes, with a confidence level of 99%. The variables whose variance analysis gave a significant difference (P ≤ 0.001) were submitted to the Tukey Multiple Comparison Test (Lea et al. 1997). The SPSS 14.0 Program (SPSS, 2005) for Windows was used.

RESULTS AND DISCUSSION

The percentage description of the sample of surveyed consumers and the general results on knowledge about GMF and the attitudes toward labeling of foods is presented in Table 1. While the distribution by gender was practically the same, consumers between the ages of 35 and 54 predominated, belonging to families composed of three or four members, without children or with children between the ages of 13 and 17, farmers and independent workers, married, with completed secondary and completed university studies and more, and from the socioeconomic groups with higher incomes. Approximately 60% of those surveyed indicated having received some type of information about GMF, but only 26% knew what it meant. With regard to the label the majority stated that they “generally” or “occasionally” read the label. The majority of respondents were in agreement that the label should indicate the use of genetically modified ingredients in the preparation of the food.

Table 1. Percentage description of the sample of usual buyers surveyed in supermarkets of Temuco, Chile. June, 2006

Sample

Composition

Total sample

Gender

Female

51.8

Male

48.3

Age

<  35

33.3

35-54

45.3

55 or over

21.5

Family size

1-2 members

8.0

3-4 members

66.3

5 or more

25.8

Presence and age of children

Without children

28.3

Children under 5

9.0

Children between 5 and 12

10.0

Children between 13 and 17

30.3

Children over 18

22.5

Occupation

Self-employed

22.0

Businessperson

10.5

Agricultural producer

29.8

Private sector worker

19.3

Public sector worker

12.5

Retired

2.3

Unemplyed

3.8

Education

Without studies

0.8

Primary incomplete

2.5

Primary complete

6.0

Secondary incomplete

7.8

Secondary complete

26.3

Technical incomplete

8.5

Technical complete or university incomplete

 

17.0

University complete or more

31.3

Social economic group

ABC1

34.8

C2

33.0

C3

17.3

D

12.8

E

2.3

Has received information about transgenic foods

Yes

59.0

No

41.0

Knows the significance of the word transgenic

Yes

26.3

No

73.8

Frequency of reading food labels

Always

12.3

Generally

28.8

Occasionally

31.3

Almost never

20.6

Never

7.0

The label should indicate the presence of genetically modified ingredients

Yes

99.3

No

0.8

Relative importance of genetic manipulation of the food product in purchasing

Through conjoint analysis it was determined that among the total sample the factor of greatest importance in the purchase of fluid milk was the presence or absence of genetic manipulation (44.7%), followed by the brand (29.8%) and the price (25.5%) (Table 2), which is contrary to what was determined by Baker and Burnham (2002) in the USA, where the price was more important than the presence of genetic modification in the food and the brand in the purchase of breakfast cereals. Nevertheless, in general terms, it concurs with the concern about the indirect consumption of genetically modified foods, such as the use of GMF in animal feed, as detected by Roosen et al. (2003) among European consumers. Parallel to this, the greater relative importance of brand in relation to price in the purchase of fluid milk was verified, in accordance to the results previously obtained by Viñuela et al. (2007). The lower importance of price in the purchase of milk can be attributed to the relatively low importance that this product occupies in family budgets, given that milk, cheese and eggs together account for an average of only 9.2% of total household spending on food (INE, 1997).

Table 2. Importance (%) of the attributes: presence of genetic manipulation, brand and price in the decision-making process of fluid milk purchaseutility of each attribute level, and marginal willingness to pay (Mg-WTP) for non-transgenic milk in groups obtained through cluster analysis in Temuco, Chile, June, 2006.

Total sample

Group 1

n = 48

Group 2

n = 186

Group 3

n = 166

F

P

Importance of attributes

 

 

 

 

 

 

Presence/absence of genetic manipulation

44.7

19.5c

39.6b

57.7a

111.115 *

0.000

Brand

29.8

20.5b

38.8a

22.2b

61.737 *

0.000

Price

25.5

60.0a

21.6b

20.1b

288.097 *

0.000

Utility levels of attributes

 

 

 

 

 

 

With genetic manipulation

-0.569

-0.027b

0.576a

-2.000c

352.198 *

0.000

Without genetic manipulation

0.569

 0.057b

-0.576c

 2.000a

352.198 *

0.000

National brand

0.777

 0.557b

1.002a

 0.587b

15.018 *

0.000

Private brand

-0.777

-0.557a

-1.002b

-0.587a

15.018 *

0.000

Price $360 L-1

-0.964

-3.760c

1.142a

-1.394b

238.351 *

0.000

Price $440 L-1

-1.928

-7.520c

2.284a

-2.789b

238.351 *

0.000

Mg-WTP milk without genetic modification

0.690

0.010

-0.036

1.618

131.975 *

0.000

* Significant to 1%. Distinct letters horizontally indicate statistically significant differences according to the Tukey test (P ≤ 0.001).

In general, consumers found positive utility or preference for milk produced without genetic manipulation and negative utility in the presence of genetic manipulation, both with the same magnitude, but of opposites signs. Positive utility was obtained with a national brand and utility was lost with a store brand. Both levels of price reported loss of utility, which increased (more negative utility figures) when accepting to buy the product at a higher price, which indicate that there is no association between price and quality. In accordance with the preceding, it can be argued that in general the purchasing choice was dominated by the existence of genetic manipulation in the milk, with a preference toward non-transgenic food, preferring at the same time a more trusted brand (national brand, Lactea) and the lowest price available. This result suggests that consumers make milk purchases seeking to minimize the purchasing cost of the product that contains the most appreciated characteristics, which would explain the lower importance of price in the purchasing choice in a similar manner to the purchasing of beef (McCarthy et al., 2003).

The Pearson correlation coefficient (0.999) and Kendall Tau (1.000) were very close to or equal to 1,  which indicates the goodness of fit of the conjoint model and that the ordering of the stimulus presented in the cards corresponded to the global ordering of respondents, both being statistically significant (P = 0.000).

Consumer segments

Using cluster analysis it was possible to distinguish three groups of consumers with statistically significant differences (P ≤ 0.001) in the importance and utility of the presence or absence of genetic manipulation, brand and price (Table 2). The groups presented significant differences according to the presence and age of children (P ≤ 0.001), age, family size, occupation, education and frequency of reading food labels (P ≤ 0.05) (Table 3). No significant differences were observed (P > 0.05) according to gender, knowledge on GMF and attitude toward the labeling of GMF.

Table 3. Characteristics with significant differencesbetween groups obtained with cluster analysis in Temuco, Chile June, 2006.

Sample

Group 1

n = 48

Group 2

n = 186

Group 3

n = 166

Age

P = 0.002

<  35

31.3

24.2

44.0

35-54

52.1

51.6

36.1

55 or over

16.7

24.2

19.9

Family size

P = 0.009

1-2 members

6.3

4.3

12.7

3-4 members

72.9

72.6

57.2

5 or more

20.8

23.1

30.1

Presence and age of children

P = 0.000

Without children

25.0

16.7

42.2

Children under 5

6.3

8.6

10.2

Children between 5 and 12

14.6

10.2

8.4

Children between 12 and 17

33.3

41.9

16.3

Children 18 and over

20.8

22.6

22.9

Occupation

P = 0.008

Self-employed

20.8

22.0

22.3

Businessperson

4.2

16.1

6.0

Farmer

25.0

29.6

31.3

Private sector worker

25.0

17.2

19.9

Public sector worker

14.6

7.5

17.5

Retired

2.1

3.8

0.6

Unemployed

8.3

3.8

2.4

Education

P = 0.018

Without studies

0

1.1

0.6

Primary incomplete

2.1

0.5

4.8

Primary complete

6.3

5.9

6.0

Secondary incomplete

8.3

5.4

10.2

Secondary complete

33.3

18.8

32.5

Technical incomplete

8.3

11.3

5.4

Technical complete or univ. incomplete

10.4

20.4

15.1

University complete or more

31.3

36.6

25.3

Frequency of reading labels

P = 0.026

Always

16.7

12.9

10.3

Generally

31.3

33.3

23.0

Occasionally

22.9

25.8

40.0

Almost never

14.6

22.6

20.0

Never

14.6

  5.4

  6.7

The majority group (Group 2; 46.5% of the sample, n = 186) gave similar importance to the presence or absence of genetic manipulation in the food (39.6%) and the brand (38.8%) in the purchasing decision. The importance assigned to genetic manipulation was significantly lower than Group 3, but higher than Group 1 (P ≤ 0.001), with significantly higher positive utility or preference for transgenic milk than the other groups (P ≤ 0.001), and rejection of milk without genetic manipulation, expressed in a significantly lower negative utility value than Groups 1 and 3 (P ≤ 0.001), which presented positive values. In comparison, this group assigned more importance to the brand than the other groups (P ≤ 0.001), with the greatest preference for the national brand and strongest rejection of the store brand. The importance given to the price of milk was low (21.6%), statistically similar to Group 3 and lower than Group 1 (P ≤ 0.001). This group stood out as the only one that found positive utility in the price level, significantly higher than the other groups (P ≤ 0.001), with more preference for the higher price, which would indicate a positive association between price and quality (Table 2). Price can be an important indication of quality when a certain risk is perceived in making an erroneous purchase decision, thus consumers can reject products that are too cheap to avoid the risk of dissatisfaction with the purchase (Kotler, 2002). Considering that existence of genetic manipulation and the brand had similar importance in the purchase decisions for this group, it can be argued that this group of consumers perceives more risk in the purchase of a GMF and/or a store brand. From the demographic perspective (Table 3) this group is characterized by a higher proportion of persons over 35 years of age (P ≤ 0.05), pertaining to households composed of three to four members (P ≤ 0.05), with children between 12 and 17 years of age (P ≤ 0.001), business persons (P ≤ 0.05) and with college studies (P ≤ 0.05). According to their preferences, this group could be termed “milk purchasers sensitive to the presence of genetic manipulation and to brand, prone to purchase transgenic products ”.

The second group in numeric importance (Group 3; 41.5% of the sample, n = 166) clearly assigned more importance to the presence of genetic manipulation in the milk (57.7%), significantly higher than the other groups (P ≤ 0.001). This group presented rejection towards transgenic products and preference for milk produced without genetic manipulation. The figure for positive utility toward non-transgenic milk was significantly higher than with the other groups (P ≤ 0.001) and the negative utility associated with milk with genetic manipulation was significantly lower than with the other groups (P ≤ 0.001), which implies a rejection toward this condition. While the importance of the brand was low (22.2%), this group preferred the national brand with a utility figure statistically similar to Group 1 and lower than Group 2 (P ≤ 0.001), and rejected the private brand with a negative utility figure statistically similar to Group 1 and higher than Group 2 (P ≤ 0.001) (Table 2). This group had the largest proportion of persons under 35 years of age (P ≤ 0.05), from households composed of one or two members (P ≤ 0.05), without children (P ≤ 0.001), public employees (P ≤ 0.05) and with primary and secondary education (P ≤ 0.05).  This group stood out as having the highest proportion of consumers who read the food label “occasionally” before making a purchase (Table 3). According to their preferences, this group can be termed “milk consumers who reject genetic manipulation”

The minority group (Group 1; 12% of the sample, n = 48) gave more importance to price in the purchase of milk (60%), significantly higher than Groups 2 and 3 (P ≤ 0.001), with the greatest rejection toward both price levels expressed in negative utility figures that were significantly lower than those of the other groups (P ≤ 0.001). While the importance of genetic manipulation (19.5%) and brand (20.5%) are low for this group in making a purchasing decision, a preference for milk without genetic manipulation and rejection of the transgenic product were observed, in a manner similar to Group 3. Parallel to this, there was a preference for the national brand and rejection of the product with a store brand (Table 2). This group is characterized by a higher proportion of persons over 35 years of age (P ≤ 0.05), from households composed of three or four members (P ≤ 0.05), with children between 5 and 12 years of age (P ≤ 0.001), private employees and unemployed   (P ≤ 0.05), and with completed secondary education (P ≤ 0.05). This group had the highest proportion of consumers who “always” check the label of a food product, or “never” do this (Table 3). Considering their characteristics, the groups can be termed “milk purchasers sensitive to price who reject transgenic foods”.

While the existence of genetic modification was the most important variable in the total sample, and in      Group 3 (41.5% of the sample) followed by brand and price, this attribute was of less importance in the purchasing decision for Group 1, in accordance with what was determined by Baker and Burnham (2002) in the United States with breakfast cereals.  Nevertheless, it is important to note the similar level of importance assigned to brand and the existence of genetic manipulation by the consumers in Group 2, which according to Baker and Burnham (2002) indicates that none of these attributes dominate consumer preferences.

The preference for milk without genetic manipulation and the rejection of transgenic products obtained in the total sample and in Groups 1 and 3 (12% and 41.5% of the sample) concur with the results of several authors (Lusk et al., 2001; Mendenhall and Evenson, 2002; Lusk et al., 2003; Larue et al., 2004; Ganiere et al., 2006; Ho et al., 2006), and are in line with the results obtained by Lusk et al. (2003), with regard to the preference of European consumers for beef from animals that had not been fed on genetically modified grains. Nevertheless, the existence of an important group of consumers (Group 2; 46.5% of the sample) who preferred transgenic milk confirms the non-universality of resistance to genetic modifications (Mucci and Hough, 2003). Considering that the majority of those surveyed did not know the meaning of the word transgenic (73.8%), this result is probably attributable to the definition given to consumers prior to the presentation of the stimulus developed for the conjoint analysis: “transgenic foods are those to which a foreign gene has been introduced artificially at the level of the embryo in a manner such that upon reproducing itself this new characteristic is maintained, for example, to eliminate the use of pesticides, fungicides and herbicides”, owing to the benefits for the environment (Frewer et al., 1996; Ganiere et al., 2006) as the reduction in the use of pesticides (Kaye-Blake et al., 2005) results in a positive attitude on the part of consumers toward transgenic products.  In the same manner, this result is in line with what was reported by Lähteenmäki et al. (2003) with regard to a positive attitude toward transgenic cheese of consumers from Nordic countries owing to the fact that the product was genetically modified to achieve a better flavor and a lower fat content than the conventional product.

Consequently, it is possible to suggest that a positive evolution of the market of transgenic foods in the country will be conditioned by access to information on the theme by consumers, as has been the case in other countries. Chen and Li (2007) in Taiwan and Costa-Font and Mossialos (2007) in United Kingdom, concluded that greater knowledge about GMF reduces the perception of risk, resulting in a more positive attitude among consumers towards genetically modified foods. Nevertheless, it should be noted that the results of this study are limited to a specific type of food of animal origin, without having made explicit the type of genetic modification in the studied product, because of which future researchers should consider the possibility of discriminating the reaction of consumers in the contexts of different types of genetic modifications, or with different objectives (lower cost, greater nutritive value, among others).

The values of the marginal willingness to pay (Mg-WTP) for milk without genetic manipulation were positive in the total sample and in groups that show preference for non-transgenic products (Groups 1 and 3), with the opposite occurring in Group 2 (Table 2). Nevertheless, upon calculating the Mg-WTP percentage on the average price used ($400 L-1), depreciable values were obtained corresponding to 100.17% in the total sample; 100.003% in Group 1; 99.99% in Group 2 and 100.405% in Group 3. This implies that consumers who present more Mg-WTP (Group 3) would be willing to pay $401 L-1 for milk without genetic manipulation, which is in contrast to studies in developed countries where Lusk et al. (2003) determined that European and American consumers would be willing to pay on average US$7.8 and US$3.31 more, respectively, per pound of beef from animals that were not fed with transgenic grains.

On the other hand, the obtaining of three groups of consumers with differentiated acceptance toward GMF of animal origin and with distinct demographic profiles in terms of age, family size, presence and age of children, occupation and education, is in contrast to research that indicates that acceptance of GMF is not related to the demographic characteristics of consumers (Lusk et al., 2001; Hossain and Onyango, 2004). The age profile of the groups that reject transgenic milk (Group 1 and Group 3) is in contrast to the results of Baker and Burnham (2002) and Ganiere et al. (2006) in terms of a greater rejection among older persons, given that Group 1 had the lowest proportion of persons over 65 and Group 3 was composed mainly of person under 35. Nevertheless, this coincides with greater rejection of GMF on the part of persons with less education (Baker and Burnham, 2002; Ganiere et al., 2006), a situation observed in Groups 1 and 3, contrary to what was obtained with Group 2, which presented the largest proportion of persons with technical and university studies and prefer transgenic milk. With regard to the greater willingness of men to purchase GMF detected in other studies (Gamble et al., 2000; Mendenhall and Evenson, 2002; Verdume and Viaene, 2003; Hossain et al., 2003), the groups identified in this research did not present significant differences according to gender (P > 0.05).

No relationship was obtained between the attitude toward and knowledge of GMF (Verdume and Viaene, 2003; Hossain et al., 2003; Townsend, 2006; Chen and Li, 2007), since no statistical differences were observed on these variables among the groups. Nevertheless, it can be indicated that there was a low level of knowledge about GMF in the surveyed sample. The general approval regarding the need to include information about genetically modified ingredients in the label coincides with the attitudes of Argentine consumers, representing the option of making an informed choice (Mucci and Hough, 2003).

The positive utility of a national brand (Lactea) and the loss of utility or rejection of a store brand in the total sample and in the three segments identified coincide with the results of acceptance of breakfast cereals with and without genetic manipulation in the USA (Baker and Burnham, 2002), and are related to the influence of perceived risk in the purchase of a food product with a store brand  (Rajeev and Indrajit, 2000), in accordance with Verdume and Viaene (2003) in regard to the willingness of consumers to buy GMF products with a known brand. Likewise, acceptance of the national brand and rejection of the store brand confirm the results of the study previously done by Viñuela et al. (2007) in Temuco, which determined that consumers prefer to buy milk from national brands and reject store brands.

CONCLUSIONS 

Through the use of cluster analysis it was determined that consumers in La Araucanía Region, Chile, presented different attitudes toward a genetically modified food of animal origin. The 53.5% that rejected genetic manipulation in fluid milk was divided into a majority segment (41.5%) that conferred great importance on the presence of genetic manipulation in the food and is composed in greater proportion by persons under 35 years of age, belonging to households with one or two members, without children, public employees and with primary and secondary levels of education, and a minority segment (12.0%) that mainly values price in the purchasing decision, composed of persons over 35, belonging to households with three or four members, private sector employees and with completed secondary education. The segment that preferred genetically modified milk (46.5%) gave similar importance to the brand and the presence of genetic manipulation, notable for the greater presence of persons over 35, with children between 12 and 17, businesspersons and with higher levels of education.

ACKNOWLEDGEMENTS 

The results of this paper are from Project DIUFRO Nº 120601 funded by the Universidad de La Frontera.

LITERATURE CITED

  • Adimark. 2004.Mapa socioeconómico de Chile. Available in http://www.adimark.cl/medios/estudios/informe_mapa_socioeconomico_de_chile.pdf (Acessed 20 October 2005).
  • Baker, G., and T. Burnham. 2002. The market for genetically modified foods: consumer characteristics and policy implications. Int. Food Agribusiness Manage. Rev. 4:351-360.
  • Chen, M., and H. Li. 2007. The consumer’s attitude toward genetically modified foods in Taiwan. Food Qual.Prefer. 18:662-674.
  • Costa-Font, J., and E. Mossialos. 2007. Are perceptions of risks and benefits of genetically modified food independent?. Food Qual. Prefer. 18:173-182.
  • Fernández, A. 2002. Investigación y técnicas de mercado. 273 p. Editorial Esic, Madrid, España.
  • Finucane, M.L., and J.L. Holup. 2005. Psychological and cultural factors affecting the perceived risk of genetically modified food: an overview of the literature. Social Sci. Med. 60:1603-1612.
  • Frewer, L., C. Howard, and R. Shepherd. 1996. The influence of realistic product exposure on attitude towards genetic engineering of food. Food Qual. Prefer. 7:61-67.
  • Frewer, L., C. Howard, and R. Shepherd. 1997. Public concerns about general and specific applications of genetic engineering: risk, benefit and ethics. Sci. Technol. Human Val. 22:98-124.
  • Frewer, L., J. Lassen, B. Kettlitz, J. Scholderer, V. Beekman, and K. Berdal. 2004. Societal aspects of genetically modified foods. Food Chem. Toxicol. 42:1181-1193.
  • Gamble, J., S. Muggleston, D. Hedderly, T. Parminter, and G. Vaugham. 2000. Genetic engineering: The public’s point of view. HortResearch NZ Client Report No. 2000/249. The Horticulture and Food Research Institute of New Zealand, Auckland, New Zealand.
  • Gan, C., and E. Luzar. 1993. A conjoint analysis in waterfowl hunting in Louisiana. J. Agric. Appl. Econ. 25(2):36-45.
  • Ganiere, P., W. Chern, and D. Hahn. 2006. A continuum of consumer attitudes toward genetically modified foods in the United States. J. Agric. Res. Econ. 31:129-149.
  • Hair, J., R. Anderson, R. Tatham, y W. Black. 1999.Análisis multivariante. Otero. 5ª ed. 832 p. Prentice Hall Internacional, Madrid, España.
  • Ho, P., E. Vermeer, and J. Zhao. 2006. Biotechnology and food safety in China: Consumers’ acceptance or resistance? Dev. Change 37:227-253.
  • Hossain, F., and B. Onyango. 2004. Products attribute and consumer acceptance of nutritionally enhanced genetically modified foods. Int. J. Consumer Studies 28:255-267.
  • Hossain, F., B. Onyango, B. Schilling, W. Hallman, and A. Adelaja. 2003. Product attributes consumer benefits and public approval of genetically modified foods. Int. J. Consumer Studies 27:353-365.
  • IFIC. 2001. U.S. consumer attitudes toward food biotechnology. Wirthlin Group Quorum Surveys. International Food Information Council (IFIC), Washington D.C., USA. Available at http://ific.org/proactive/newsroom/release.vtml?id=19241 (Accessed 15 April 2002).
  • INE. 1997. Quinta encuesta de presupuestos familiares (agosto 1996 - julio 1997). Disponible en http://www.ine.cl/canales/chile_estadistico/encuestas_presupuestos_familiares/volumen2/xls/cuunvodo.xls (Leído el 17 de diciembre de 2001).
  • INE. 2003. Censo 2002. Resultados Volumen I. Población; País - Región. 356 p. Instituto Nacional de Estadísticas (INE), Santiago, Chile.
  • Jaeger, S, J.L. Lusk, L. House, C. Valli, M. Moore, B. Morrow, and B. Traill. 2004. The use of non-hypothetical experimental markets for measuring the acceptance of genetically modified foods. Food Qual. Prefer. 15:701-714.
  • Kaye-Blake, W., K. Bicknell, and C. Saunders. 2005. Process versus product: which determines consumer demand for genetically modified apples? Aust. J. Agric. Res. Econ. 49:413-427.
  • Kotler, P. 2002. Dirección de marketing. Conceptos esenciales. 351 p. Pearson Educación, Juárez, México.
  • Lähteenmäki, L., K. Grunert, Ø. Ueland, A. Åström, A. Arvola, and T. Bech-Larsen. 2003. Acceptability of genetically modified cheese presented as real product alternative. Food Qual. Prefer. 13:523-533.
  • Larue, B., G. West, C. Gendron, and R. Lambert. 2004. Consumer response to functional foods produced by conventional, organic, or genetic manipulation. Agribusiness 20:155-166.
  • Lea, P., M. Rodbotten, and. T. Naes. 1997. Analysis of variance for sensory data. 102 p. Wiley, Chichester, UK.
  • Lusk, J.L., M. Daniel, D. Mark, and C. Lusk. 2001. Alternative calibration and auction institutions for predicting consumer willingness to pay for nongenetically modified corn chips. J. Agric. Res. Econ. 26:40-57.
  • Lusk, J.L., J. Roosen, and J.A. Fox. 2003. Demand for beef from cattle administered growth hormones or fed genetically modified cord; a comparison of consumers in France, Germany, the United Kingdom and the United States. Am. J. Agric. Econ. 85:16-29.
  • McCarthy, M., M. De Boer, S. O’Reilly, and L. Cotter. 2003. Factors influencing intention to purchase beef in the Irish market. Meat Sci. 65:1071-1083.
  • Mendenhall, C., and R. Evenson. 2002. Willingness to pay a premium for non-genetically modified foods. p. 55-61. In Santaniello, V., R. Evenson, and D. Zilberman (eds.) Market development for genetically modified foods. CABI Publishing, Wallingford, UK.
  • Mucci, A., and G. Hough. 2003. Perceptions of genetically modified foods by consumers in Argentina. Food Qual. Prefer. 15:43-51.
  • Noussair, C., S. Robin, and B. Ruffieux. 2002. Do consumers not care about biotech foods or do they just not read the labels? Econ. Letters 75:47-53.
  • Noussair, C., S. Robin, and B. Ruffieux. 2004. Do consumers really refuse to buy genetically modified food? Econ. J. 114:102-120.
  • Rajeev, B., and S. Indrajit. 2000. Consumer–level factors moderating the success of private label brands. J. Retailing 76:175-191.
  • Reyes, M.S., and J. Rozowski. 2003. Alimentos transgénicos. Revista Chilena de Nutrición 30(1):21-26.
  • Ríos, S. 2004. Cultivos transgénicos en Chile. Observatorio de la Economía Latinoamericana Nº 38. Available in http://www.eumed.net/cursecon/ecolat/oel38.htm (Accessed 20 March 2006).
  • Roosen, J., J. Lusk, and J. Fox. 2003. Consumer demand for and attitudes toward alternative beef labeling strategies in France, Germany and the UK. Agribusiness 19:77-90.
  • Sethuraman, R., and C. Cole. 1999. Factors influencing the price premiums that consumers pay for national brands over store brands. J. Prod. Brand Manage. 8:340-351.
  • SPSS. 2005. Statistical package for the social sciences for Windows. Version 14.0. SPSS Inc., Chicago, Illinois, USA.
  • Townsend, E. 2006. Affective influences on risk perceptions of, and attitudes toward genetically modified food. J. Risk Res. 9:125-139.
  • Townsend, E., and S. Campbell. 2004. Psychological determinants of willingness to taste and purchase genetically modified food. Risk Analysis 24:1385-1393.
  • Verdume, A., and J. Viaene. 2003. Consumer beliefs and attitude towards genetically modified food: basis for segmentation and implications for communication. Agribusiness 219:91-113.
  • Viñuela, J.M., B. Schnettler, N. Sepúlveda, y P. Catalán. 2007. Caracterización del proceso de decisión de compra de leche en la IX Región de La Araucanía, Chile. Economía Agraria 11:38-50.

Copyright 2008 - Instituto de Investigaciones Agropecuarias, INIA (Chile).  


The following images related to this document are available:

Photo images

[cj08040t3.jpg] [cj08040t2.jpg] [cj08040t1.jpg]
Home Faq Resources Email Bioline
© Bioline International, 1989 - 2024, Site last up-dated on 01-Sep-2022.
Site created and maintained by the Reference Center on Environmental Information, CRIA, Brazil
System hosted by the Google Cloud Platform, GCP, Brazil