SciELO - Scientific Electronic Library Online

 
vol.33 issue2Reuse of degraded Pleurotus ostreatus substrate through supplementation with wheat bran and Calprozime® quantitative parameters'INIAP-Palmira 2014': a new drought-resistance barley variety author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Agronomía Colombiana

Print version ISSN 0120-9965

Agron. colomb. vol.33 no.2 Bogotá May/Aug. 2015

http://dx.doi.org/10.15446/agron.colomb.v33n2.50013 

 

Doi: 10.15446/agron.colomb.v33n2.50013

 

Organic purchasing factors and consumer classification through their preferences in the metropolitan area of Lima, Peru

 

Factores que influyen en la decisión de compra de productos orgánicos y clasificación de sus consumidores según preferencias en el área metropolitana de Lima, Perú

 

Angie Higuchi1 and Angel Avadi2

1 Faculty of Business Administration, Universidad del Pacifico. Lima (Peru). a.higuchi@up.edu.pe
2 UMR Sol Agro et hydrosystème Spatialisation (UMR SAS), Institut National de la Recherche Agronomique (INRA). Paris (France).

Received for publication: 06 April, 2015. Accepted for publication: 30 June, 2015.


Abstract


The analysis of organic-product consumer behavior deals primarily with preferences. There is a need to better understand the predictors that determine consumer choices when purchasing organic products. Metropolitan Lima was chosen as the study location. The structured questionnaire involved interviews with 547 organic consumers of the metropolitan area of Lima, Peru. A principal component analysis and a cluster analysis were used to assess the underlying opinions of consumers of organic products. The results revealed that decisions to purchase organic products in the future were mainly influenced by factors such as health and quality perceptions. Moreover, profiling the clusters as naturalites, drifters (mid-level) and LOHAS (core level) confirmed the results. The link between health and environment, among other benefits, should be strengthened through communication strategies to increase interest from consumers.

Key words: food merchandising, consumer behaviour, market research, organic foods.


Resumen

El análisis del comportamiento del consumidor orgánico se relaciona principalmente con sus preferencias. Existe la necesidad de entender a profundidad cuáles son los predictores más relevantes que llevan a los consumidores a adquirir este tipo de productos. El estudio fue desarrollado empleando un cuestionario estructurado con 547 consumidores orgánicos del área metropolitana de Lima, Perú. Se empleó un análisis de componentes principal (ACP) y un análisis de clusters para analizar las opiniones subyacentes de estos consumidores. Los resultados revelaron que las decisiones para comprar productos orgánicos en el futuro se encontraron influenciadas principalmente por factores como la salud y la calidad. Asimismo, los perfiles elaborados como naturalites, drifters (nivel medio) y LOHAS (nivel core) confirman los resultados de manera consistente. La relación entre salud y cuidado del medio ambiente, entre otros beneficios, debería ser reforzada mediante estrategias de comunicación para acrecentar el interés de los consumidores.

Palabras clave: comercio de alimentos, comportamiento del consumidor, investigación de mercados, alimentos orgánicos.


 

Introduction

Organic foods are increasingly taking the center stage in the world food market and in global consumption patterns (Hjelmar, 2011). Organic produce has been shown to have halo effects on quality perception, which indicates that consumers perceive food labeled as organic as more "healthy, natural, nutritious and sustainable" (Hsu and Chen, 2014; Vega-Zamora et al., 2013; Falguera et al., 2012). Parallel to the tendency towards healthier food, a shift towards more environmentally friendly or "green" food products has emerged, which is known as "ethical consumption" or "sustainable" (Aschemann-Witzel et al., 2013). Thus, organic food purchases can be seen as actions motivated by beliefs about healthiness, good taste and a positive impact on the environment, among others (Vega-Zamora et al., 2013; Shafie and Rennie, 2012).

Today, market globalization has modified traditional networks of information, production and marketing. Moreover, city growth has been accompanied by development in the global food industry, which has adopted intensive methods of agricultural production to meet the consumers' increasing demands for food (Falguera et al., 2012). The food consumption culture has been closely associated with economic growth. The "health-aimed stage" correlates income with an increased consciousness of the effect of food on human health (Nam et al., 2010). Peru has posted strong growth after two decades of economic and political vulnerability (Evans and Tveteras, 2011). This country's economy has registered a sustained growth of 5.7% per year on average (UNDP-Paper, 2012). Gross per capita income increased more than 50% from 2005 to 2011 (UN Data, 2014). Furthermore, the national poverty rate fell from 48.5% in 2004 to 23.9% in 2013 (World Bank, 2014). Policies focusing on trade liberalization and on attracting foreign capital, prudent macroeconomic policies and a favorable external environment favored Peru's solid economic performance and stability (World Bank, 2014). The metropolitan area of Lima is the fifth most populated area in Latin America and accounts for nearly 28% of the total Peruvian population (8,693,387 inhabitants), which contributes around US$ 3,503 of the per capita GDP (Del Carpio and Vila, 2010). Lima's fecundity ratio has fallen due to better sanitary conditions, an increase in women's education and access to work, urbanization improvements, less migration from provinces to the capital and the impact of demographic policy control. Around 60% of the families in this area have a refrigerator at home and 86% have a gas stove for cooking (Del Carpio and Vila, 2010).

Organic agriculture in Peru is a growing segment in the national food sector. All 24 departments in Peru have organic production. The total organic area is approximately 305,000 hectares and there are more than 47,000 producers who are not all certified (FIBL and IFOAM, 2014; Proexpansión, 2014). The main organic-certified products from Peru are coffee, cacao, bananas, quinoa, and Brazil nuts (Senasa, 2013). Domestically, the gastronomy movement has contributed to steady growth in the local demand for high quality indigenous food, including organic food. After Law 29196 for the Promotion of Organic Production was passed in 2012, the platform for coordination and policy development helped boost organic production and provided assistance to the organic sector, with a special focus on smallholders and domestic markets (FIBL and IFOAM, 2014). Peruvian organic food remains a niche yet rapidly growing market (Mohamad et al., 2014). It has penetrated large supermarket chains such as Wong and Vivanda, which are located mainly in Lima.

Consumer behavior analysis deals primarily with preferences and how they are formed in the mind of the consumer (Ozguven, 2012). Consumers are increasingly concerned about and conscious of what they eat, so it is important to understand the implications of organic food (Pugliese et al., 2013). Several studies have provided evidence that consumer attitudes towards organic food significantly influence their choice (Stolz et al., 2011). Previous Peruvian studies have been primarily descriptive in nature and little empirical search has focused on measuring the main factors behind why organic consumers choose to purchase organic products. It is said that when consumers have a better understanding of organic foods, awareness and purchase intentions increase (Mohamad et al., 2014). Therefore, this study's objective was to statistically determine the factors that influence the purchase of organic food and to characterize clusters of organic consumers to understand organic-product consumption in the metropolitan area of Lima in Peru.

 

Material and methods

The metropolitan area of Lima was selected as the location of this study. This area was chosen based on socio-economic factors including a marked improvement in the standard of living and vast increase in media coverage, among other factors (Instituto Español de Comercio Exterior, 2010). Given that the weight of the organic consumer population in the total population cannot be determined, the choice-based sampling approach precludes making more general inferences about a larger group (Thompson and Kidwell, 1998). Even though this research was limited, it provided an overview of the relevant issues and insights that affect the consumers' perceptions of organic food products in a city such as Lima. Primary data was gathered at the study site every weekend between April and November 2014 at organic markets in Lima, such as "el Mercado Saludable de La Molina" (the health market of La Molina) and "Ecoferia Lima come sano" (Lima eco-fair eat healthy). The structured questionnaire was administered with support from "el Mercado Saludable de La Molina" and from students at the Universidad del Pacífico. The survey involved interviews with 547 consumers who purchase organic products. Average time to complete the interview was between 15 and 20 min. Topics in the survey's questionnaire were based on the main factors that compel organic-product consumers to purchase organic products. The study used a Likert scale questionnaire ranging from 1 (Strongly disagree) to 5 (Strongly agree) to measure the perceptions of these consumers. Additionally, variables in the survey questionnaire were based on an amalgamation of several surveys that were developed to assess the socio-demographic characteristics of households (ORC Macro, 2004) (Tab. 1).

The organic market is the fastest growing sector in the global food industry (Agriculture and Agri-Food Canada, 2014). The increase in sales volume has been generated by organic consumers whose interests in organic food are driven by different values and motivations (Hamzaoui-Essoussi et al., 2013; Hughner et al., 2007). Many studies have also attempted to determine the most important motivations behind organic product purchases (Hjelmar, 2011). Organic produce has intrinsic and extrinsic variables that are highly correlated. Thus, in the first stage of the analysis, a Principal Component Analysis (PCA) was used as a variable reduction procedure to summarize the organic-product consumers' underlying perceptions through small components. Tab. 2 presents the summary of survey responses based on the evaluation of the organic products.

The underlying main values based on organic food consumption vary from one country to another. In Canada, consumers identify health, the environment, and support of local farmers as the principal values that motivate their consumption of organic food (Hamzaoui-Essoussi et al., 2013). In France, health and environment concerns are always mentioned, but taste and tradition are important too (Hamzaoui-Essoussi et al., 2013; Sirieix et al., 2006). In Turkey, the findings of the study proposed by Cabuk et al. (2014) proved that health consciousness and environmental and food safety concerns have an effect on attitudes towards organic foods. In Latin America, for instance, the main reasons that Mexicans consume organic products are health, environmental conservation, taste, freshness and support of the local economy (Pérez-Vásquez et al., 2012). In Argentina, organic-product consumers worry about their health, take care with their meals, worry about hormones and pesticides in food content, and care about the food nutritional content as a quality attribute (Rodríguez et al., 2006). Next, a hierarchical cluster analysis was used to organize the observed data of the organic-product consumers into meaningful taxonomies based on combinations of factor analysis variables. Organic-product consumers have been characterized based on their interest level (Proexpansión, 2014; Chassy et al., 2014; Hartman Group, 2010) among other factors. Thus, one-way ANOVA was used to determine which classifying variables were significantly different between the groups. This analysis included six socio-economic factors (Tab. 1). The descriptive statistics on the scale of variables for each of the clusters were calculated and the differences were noted.

Finally, the relationships between the qualitative variables and the groups (clusters) were assessed using a chi-square test. Categorical data were dealt with using crosstabs (Burns and Burns, 2009). It is recommendable to pose different questions to obtain correct information rather than posing just one question that contains all the answers. This is particularly true when the question is a "why" question that includes two aspects: the attributes of the product and the influences that motivates consumers to learn about and purchase the product (Malhotra, 2008). Therefore, three questions were used to create a profile for each cluster to depict the main factors that motivate organic consumers from Metropolitan Lima to purchase these products and to determine how much these consumers spend on organic products (nuevos soles/month).

 

Results and discussion

The demand for organic products in the metropolitan area of Lima is small, but it is expanding and expected to grow further (SECO and GIZ, 2013). An assessment of the underlying attitudes of organic consumers in Metropolitan Lima was conducted. This was done to better understand what motivates these consumers to consume organic products. For this specific purpose, an initial analysis was conducted through principal component analysis (PCA) with a varimax rotation of factors because it implies a factorial method of data analysis of multivariate statistics and creates a visualization of the system of relations between variables and individuals (Hair et al., 2010) to assess the underlying opinions of organic consumers in Lima and the group variables according to shared variance.

The data in our study showed that there are a number of factors that lead organic-minded consumers to buy organic food products. An examination of the matrix showed four factor solutions. The 57.8% of the variance in our items was explained by the four extracted components: sensory attributes and ecological welfare (27.47%), health concerns (12.01%), food safety (9.75%) and, finally, convenience/curiosity (8.53%). It is important to ascertain how reliable the internal consistency of the scales is, which is why Cronbach's alpha (a) was calculated. Tab. 3 displayed the varimax rotated component matrix for PCA.

Organic production combines best environmental practices, preservation of natural resources and animal welfare standards while ensuring that no genetic engineering, pesticides, additives, or fertilizers are used; each stage of organic food production is controlled and certified. Indeed, organic labels are perceived as symbols of regulation and, therefore, are an important source of trust (Hamzaoui-Essoussi et al., 2013). Hughner et al. (2007) identified nine factors that drive the purchase of organic food: Health and nutrition concerns, superior taste, concern for the environment and food safety, interest in animal welfare, support for the local economy, wholesomeness, nostalgia, and fashionableness/curiosity. Stolz et al. (2011) indicated that the most important attitudinal choice factors include health concerns, environmental concerns, taste preferences and preferred origin of food. Mohamad et al. (2014) mentioned that organic food product consumption is a rising pattern due to the heightened level of consumer awareness about food safety, quality, health concerns and responsibility to Mother Nature, among others. Lee and Yun (2015) stated that consumers' perceptions of five organic food attributes (nutritional content, natural content, ecological welfare, sensory appeal, and price attributes) influence utilitarian and hedonic attitudes toward the purchase of organic food.

The factor scores obtained from the PCA were subjected to a second analysis, which entailed a hierarchical cluster analysis, to group the Lima consumers with similar patterns. Three segments were assessed with the dendrogram and intercepted with the three components to determine if the socio-economic characteristics of different consumers influenced their assessment of organic products. Fig. 1 shows the hierarchical cluster analysis dendrogram and portrays the quantitative relationship among the three clusters. The vertical axis corresponds to Ward's method distance, which measures the quantitative similarity between clusters.

Figure 2 helps to explain the position of the clusters and their interpretation for the first (sensory attributes, quality and ecology welfare) and second (health concerns) factors.

The clustering variables were profiled for the three-cluster solution to confirm that the differences between the clusters were distinctive and significant in light of the research question and to define the clusters' characteristics (Hair et al., 2010). For this purpose, a third analysis was conducted using variance analysis. The one-way ANOVA indicated significant differences between two or more different independent cluster means. From the one-way ANOVA, the F statistic provided evidence that each cluster was distinctive (Malhotra, 2008). None of the variables were significant, which means that there was no difference between the means among the clusters. This implies that the organic-product consumers had relatively equal demographic characteristics. Nonetheless, the variances of the expenditure variables (conventional and organic products monthly expenditures in nuevos soles) were significantly different.

Table 4 showed the mean values for clusters related to the socio-economic characteristics of consumers in the metropolitan area of Lima.

Table 4

Welch and Brown-Forsyth procedures were reported because the assumption of homogeneity of variance was violated for certain variables (Field, 2012). The approximate exchange rate of PEN to USD at the study rate: 2.835 PEN (Central Reserve Bank of Peru, 2015).

For the socio-economic characteristics variables, Tukey's test was used to compare each group of participants to all of the remaining groups. However, none of the clusters were significant. As the population variances were unequal, a Games-Howell test was conducted to compare the difference of means for the "monthly conventional expenditure" and the "monthly organic expenditure". For the "monthly conventional expenditure" variable, the cluster 1 and 3 groups and cluster 2 and 3 groups differed significantly (P≤0.01 between cluster 1 and 3 and P≤0.05 between cluster 2 and 3). Clearly, the cluster 3 consumers had the highest expenditure for both conventional and organic products. For the "monthly organic expenditure" variable, just cluster 2 and 3 considerably differed (P≤0.05). In this particular case, the cluster 2 consumers had the lowest monthly expenditure for organic products.

The last step was to profile the clusters as there was a difference between the means of the variables "monthly conventional expenditure" and "monthly organic expenditure". Therefore, clusters were contrasted with the results relative to the main reasons why consumers purchase organic products in the metropolitan area of Lima using cross tables. First, the resulting three clusters were crossed with the question "what is the main reason you purchase organic products?" and the results are reported in Tab. 5.

The organic industry has further confirmed the academic evidence that organic purchases are primarily driven by health reasons and food safety (Chassy et al., 2014). Cluster 3 presented the highest frequency among all the clusters in the main reasons why these organic-product consumers purchase organic products. Taste and freshness are traditional attributes that are considered within the quality factor (Shafie and Rennie, 2012). In this research, these two variables were isolated from the variable "quality" in order to understand how much weight consumers put on taste and freshness when buying an organic product. As seen in Tab. 5, the "taste and freshness" variable was the main reason consumers belonging to cluster 2 had, followed by cluster 3 with just a 1% of difference. Then, the clusters were crossed with the variable "main reason for going to organic shops to purchase organic products". This question was posed in order to determine if other factors, such as "buying novelties" or "proximity to their homes," influenced the decision to purchase organic products. Results are shown in Tab. 6.

According to some studies, organic-product consumers are, first of all, environmentally conscious, while other studies argue that egocentric values such as health, attitude towards taste, and freshness, among others, influence organic food choice more than attitudes towards the environment and animal welfare (Hamzaoui-Essoussi et al., 2013). In the case of cluster 1, as we were anticipated in the analysis of Tab. 5, a large proportion of consumers from cluster 1 responded that they visit organic shops because of their concerns about "ecological welfare". Cluster 2 presented the highest percentages in terms of the question linked to "novelties," e.g. new products offered. "Proximity" to their homes was also a key reason for visiting organic shops. A particularly high percentage of consumers from cluster 2 cited this reason. However, a question related to the transportation that consumers were using for going to the organic market revealed that only 20.4% of the consumers used a bicycle or went to the organic market by walking. Within that 20.4%, cluster 1 presented the highest percentage (41.4%), which revealed that these consumers live closer to organic shops, followed by cluster 2 with 31.5% and, finally, cluster 3 with 27%.

Tab. 7 shows the results relative to the last question for the "main reason for organic food consumption" in the case of both groups and clusters. It is noteworthy that most respondents from cluster 2 showed their preference for the "variety of products" variable. This same cluster reported that the "trustworthiness" variable relative to organic products is the second major driver of organic food consumption. Additionally, a question regarding the "organic purchasing frequency" was also made in order to support the results of this section. 72.2% of these organic consumers attended these organic markets weekly or every two weeks. Cluster 3 presented the highest percentage of frequency among all of the clusters (38.8%), followed by cluster 1 with 32.9% and, finally, cluster 2 with 28.3%.

One of the goals of this article was to profile the different consumers in the metropolitan area of Lima, Peru. The Hartman Group (2008), in its report "The Many faces of Organic", classified organic-product buyers into three categories: core, mid-level and periphery. Similar to the Hartman Group, the Natural Marketing Institute (NMI) classified consumers by their level of interest in products promoting health and environmental safety. Tab. 8 contains the results of profiling the three different clusters derived from this research and the classification of organic consumers proposed by the Hartman group and the NMI. The results also matched the monthly organic product expenditure presented in Tab. 4.

Table 8

A wide range of research has revealed health concerns as the primary factor that motivates consumers to spend more of their food budgets on organic products (Chassy et al., 2014). Magnusson et al. (2003) found that British respondents most strongly associated organic food purchases with human health benefits. The results of the aforementioned studies confirmed that the more significant motives for choosing organic food are the health factor (Shafie and Rennie, 2012) and quality perceptions (Rodríguez et al., 2006), among other factors seen in the results of this research (Tab. 3). Furthermore, the results indicated that the clusters of organic-product consumers in the metropolitan area of Lima were profiled consistently with the classification of the Hartman Group and the Natural Marketing Institute (NMI) as internal middle level consumers and naturalites (cluster 1), external middle level consumers and drifters (cluster 2) and, finally, core level consumers and LOHAS (cluster 3).

To successfully respond to growing organic food market demands, marketers and policy makers should understand consumer psychological preferences for organic food over conventional food and adjust marketing strategies accordingly to change their food consumption decisions (Lee and Yun, 2015). To increase the reliability of organic products, investment must be made in marketing communication and public relations to increase naturalite consumer awareness of the logo/brand and also the certification. Moreover, direct consumer contact with producers stands as a guarantee of quality. Drifter consumers buying from farmers (producers) experience proximity to the farm, fresh products and quality and display a better understanding of the organic farming process. They show a clear interest in this process's impact on health and the environment (Hamzaoui-Essoussi et al., 2013). Distributing informational brochures at the retail point of sale is a very important strategy when seeking to capture the attention of drifters. The link between health and environmental benefits should be strengthened to increase interest among consumers (Shafie and Rennie, 2012; Magnusson et al., 2003), who are mid-level (naturalites and drifters), and the quality factor should be emphasized through communication campaigns designed to inform customers about the benefits of organic products. Finally, conventional buyers can also be a target group for organic product purchases in the future based on factors such as emphasizing taste (providing tactile, visual, taste and sample cues at point of purchase), nutritional value, ecological welfare, health, food safety and quality. These attributes can make conventional consumers eventually modify their shopping habits.

 

Conclusions

This research provided insight into the decision-making process of organic-product consumers in the metropolitan area of Lima. The values of the consumers, particularly in terms of health and quality perceptions, seemed to be predictors of their organic purchasing behavior. Additionally, profiling the clusters as naturalites, drifters (mid-level) and LOHAS (core level) confirmed these results. Investment in marketing communication and public relations is needed to increase the naturalite consumer's awareness of the logo/brand and/or the certification. Ensuring proximity to farmers and distributing informational brochures at the retail point of sale are important tactics in efforts to develop a better understanding of drifter consumers. The organic food marketing industry should strengthen the link between health and environmental benefits through communication strategies to increase interest among consumers who are in the mid-level (naturalites and drifters).

Acknowledgements

We want to express our infinite gratitude to Silvia Wu and Fernando Alvarado for their support and trust and our boundless appreciation to research assistants María Alejandra Padilla Blas and Jean Pierre Bolaños Hurtado. Finally, special thanks to my students of agribusiness and quantitative analysis for business.

 

Literature cited

Agriculture and Agri-food Canada. 2014. Organic production- Canadian industry. In: www.agr.gc.ca/eng/industry-markets-and-trade/statistics-and-market-information/by-product-sector/organic-products/organic-production-canadian-industry/?id=1183748510661; consulted: April, 2015.         [ Links ]

Aschemann-Witzel, J., N. Maroscheck, and U. Hamm. 2013. Are organic consumers preferring or avoiding foods with nutrition and health claims? Food Qual Prefer 30, 68-76. Doi: doi: 10.1016/j.foodqual.2013.04.011        [ Links ]

Burns, R.B. and R.A. Burns. 2009. Business research methods and statistics using SPSS. SAGE Publications, London.         [ Links ]

Cabuk, S., C. Tanrikulu, and L. Gelibolu. 2014. Understanding organic food consumption: attitude as a mediator. Int. J. Consum. Stud. 38, 337-345. Doi: 10.1111/ijcs.12094        [ Links ]

Central Reserve Bank of Peru. 2015. Annual tables. In: www.bcrp.gob.pe/estadisticas/cuadros-anuales-historicos.html; consulted: March, 2015.         [ Links ]

Chassy, B., D. Tribe, G. Brookes, and D. Kershen. 2014. Organic marketing report. In: Academics Review, http://academicsreview.org/wp-content/uploads/2014/04/Academics-Review_Organic-Marketing-Report1.pdf; consulted: February, 2015.         [ Links ]

Del Carpio C., L. and B. Vila. 2010. El mercado de productos pesqueros en la Región Metropolitana de Lima. Serie: El mercado de pescado en las grandes ciudades latinoamericanas. Infopesca, Montevideo.         [ Links ]

Evans, Y. and S. Tveteras. 2011. Status of fisheries and aquaculture development in Peru: case studies of Peruvian anchovy fishery, shrimp aquaculture, trout aquaculture and scallop aquaculture. Report part of NORAD/FAO project, FAO, Roma.         [ Links ]

Falguera, V., N. Aliguer, and M. Falguera 2012. An integrated approach to current trends in food consumption: moving toward functional and organic products? Food Control 26, 274-281. Doi: 10.1016/j.foodcont.2012.01.051        [ Links ]

FIBL, Research Institute of Organic Agriculture and IFOAM, International Federation of Organic Agriculture Movements. 2014. The world of organic agriculture - Statistics and emerging trends 2014. In: https://www.fibl.org/fileadmin/documents/shop/1636-organic-world-2014.pdf; consulted: February, 2015.         [ Links ]

Field, A. 2012. Discovering statistics using IBM SPSS statistics. 4th ed. SAGE Publications, London.         [ Links ]

Hair, J.F., W.C. Black, B.J. Babin, and R.E. Anderson. 2010. Multivariate data analysis. 7th ed. Prentice Hall, Upper Saddle River, NJ.         [ Links ]

Hamzaoui-Essoussi, L., L. Sirieix, and M. Zahaf. 2013. Trust orientations in the organic food distribution channels: a comparative study of the Canadian and French markets. J. Retail. Cons. Serv. 20, 292-301. Doi: 10.1016/j.jretconser.2013.02.002        [ Links ]

Hartman Group. 2008. The many faces of organic: 2008. In: www.hartman-group.com/hartbeat/organics-today-who-buying-and-what-next; consulted: February, 2015.         [ Links ]

Hartman Group. 2010. Beyond organic & natural 2010. In: www.hartman-group.com/downloads/beyond-organic-natural-report-overview.pdf; consulted: January, 2015.         [ Links ]

Hjelmar, U. 2011. Consumers' purchase of organic food products. A matter of convenience and reflexive practices. Appetite 56, 336-344. Doi: 10.1016/j.appet.2010.12.019        [ Links ]

Hsu, C.-L. and M.-C. Chen. 2014. Explaining consumer attitudes and purchase intentions toward organic food: contributions from regulatory fit and consumer characteristics. Food Qual. Prefer. 35, 6-13. Doi: 10.1016/j.foodqual.2014.01.005        [ Links ]

Hughner, R.S., P. McDonagh, A. Prothero, C.J. Shultz II, and J. Stanton. 2007. Who are the organic food consumers? A compilation and review of why people purchase organic food. J. Cons. Res. 6, 94-110. Doi: 10.1002/cb.210        [ Links ]

Instituto Español de Comercio Exterior. 2010. Oportunidades de inversión y cooperación empresarial. El sector de la pesca y acuicultura en Perú. ICEX, Lima.         [ Links ]

Lee, H.-J. and Z.-S. Yun. 2015. Consumers' perceptions of organic food attributes and cognitive and affective attitudes as determinants of their purchase intentions toward organic food. Food Qual. Prefer. 39, 259-267. Doi: 10.1016/j.foodqual.2014.06.002        [ Links ]

Magnusson, M.K., A. Arvola, U.-K. Koivisto-Hursti, L. Åberg, and P.-O. Sjöden. 2003. Choice of organic foods is related to perceived consequences for human health and to environmental friendly behaviour. Appetite 40, 109-117. Doi: 10.1016/S0195-6663(03)00002-3        [ Links ]

Malhotra, N.K. 2008. Investigación de mercados. 5th ed. Pearson Education, Mexico DC.         [ Links ]

Mohamad, S.S., S.D. Rusdi, and N.H. Hashim. 2014. Organic food consumption among urban consumers: preliminary results. Procedia Soc. Behav. Sci. 130, 509-514. Doi: 10.1016/j.sbspro.2014.04.059        [ Links ]

Nam, K.-C., C. Jo, and M. Lee. 2010. Meat products and consumption culture in the East. Meat Sci. 86, 95-102. Doi: 10.1016/j.meatsci.2010.04.026        [ Links ]

NMI, Natural Marketing Institute. 2013. NMI's sustainability segmentation quantifies what attracts people to sustainability. In: www.nmisolutions.com/index.php/syndicated-data/segmentation-algorithms-a-panels/lohas-segmentation; consulted: May, 2015.         [ Links ]

ORC Macro. 2004. Guide to the analysis and use of household survey and census education data. In: ORC Macro, Calverton. www.uis.unesco.org/template/pdf/educgeneral/HHSGuideEN.pdf; consulted: April, 2015.         [ Links ]

Ozguven, N. 2012. Organic foods motivations factors for consumers. Procedia Soc. Behav. Sci. 62, 661-665. Doi: 10.1016/j.sbspro.2012.09.110        [ Links ]

Pérez-Vásquez, A., F.P. Lang-Ovalle, I. Peralta-Garay, and F.J. Aguirre-Pérez. 2012. Percepción del consumidor y productor de orgánicos: el mercado Ocelotl de Xalapa, Ver. México. Rev. Mex. Agroneg. 31, 20-29.         [ Links ]

Proexpansión. 2014. Perú, ¿país orgánico? In: http://proexpansion.com/uploads/Informe_organico__alta_.pdf; consulted: December, 2014.         [ Links ]

Pugliese, P., C. Zanasi, O. Atallah, and R. Cosimo. 2013. Investigating the interaction between organic and local foods in the Mediterranean: the Lebanese organic consumer's perspective. Food Policy 39, 1-12. Doi: 10.1016/j.foodpol.2012.12.009        [ Links ]

Rodríguez, E.M.M., B. Lupín, and M.V. Lacaze. 2006. Consumers' perceptions about food quality attributes and their incidence in Argentinean organic choices. In: International Association of Agricultural Economist Conference. Queensland, Australia.         [ Links ]

SECO, Secretaria de Estado para Asuntos Economicos de Suiza and GIZ, Deutsche Gesellschaft für Internationale Zusammenarbei. 2013. Promoviendo el biocomomercio en el Perú: Sistematización de la segunda fase del proyecto Perúbiodiverso (2010-2013). Lima.         [ Links ]

Senasa. 2013. Distribución de la producción orgánica nacional - Perú. Lima.         [ Links ]

Shafie, F.A. and D. Rennie. 2012. Consumer perceptions towards organic food. Procedia Soc. Behav. Sci. 49, 360-367. Doi: 10.1016/j.sbspro.2012.07.034        [ Links ]

Sirieix, L., V. Persillet, and A. Alessandrin. 2006. Consumers and organic food in France: a means-end chain study. pp. 70-87. In: Holt, G.C. and M. Reed (eds.). Sociological perspectives of organic agriculture. CABI, Wallingford, UK.         [ Links ]

Stolz, H., M. Stolze, U. Hamm, M. Janssen, and E. Ruto. 2011. Consumer attitudes towards organic versus conventional food with specific quality attributes. NJAS-Wagen. J. Life Sci. 58, 67-72. Doi: 10.1016/j.njas.2010.10.002        [ Links ]

Thompson, G.D. and J. Kidwell. 1998. Explaining the choice of organic produce: cosmetic defects, prices, and consumer preferences. Am. J. Agr. Econ. 80, 277-287. Doi: 10.2307/1244500        [ Links ]

UN Data. 2014. Peru. In: http://data.un.org/CountryProfile.aspx?crName=PERU; consulted: March, 2015.         [ Links ]

UNDP-Paper. 2012. Perú: la oportunidad de un nuevo ciclo de desarrollo - Escenarios prospectivos 2012-2016. Plural Editores, La Paz.         [ Links ]

Vega-Zamora, M., M. Parras-Rosa, E. Murgado-Armenteros, and F.J. Torres-Ruiz, 2013. The influence of the term 'organic' on organic food purchasing behavior. Procedia Soc. Behav. Sci. 81, 660-671. Doi: 10.1016/j.sbspro.2013.06.493        [ Links ]

World Bank. 2014. Peru Overview. In: www.worldbank.org/en/country/peru/overview; consulted: March, 2015.         [ Links ]

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License