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Unveiling Peruvian organic consumers demand for organics: A latent class approach

Research output: Contribution to journalArticle in a journalpeer-review

3 Scopus citations

Abstract

All rights reserved. This paper seeks to identify the consumer segments that constitute the market for organic products in Metropolitan Lima, Peru. The employed classification methodology, Latent Class Analysis, is implemented within a structural framework that is capable of identifying key relations such as the link between educational attainment and organic product consumption. This study builds on primary data gathered at the study site involving interviews with 547 organic consumers at a limited number of bio-fairs and bio-shops. Our results identify two segments: core and middle-level consumers. Although both segments exhibit similar concerns towards the environment, healthiness and tastiness, the core level exhibits higher preferences for the remaining attributes, controlling for demographical variables. Finally, this research provides evidence that educational attainment increases the likelihood of being a middle-level organic consumer.
Translated title of the contributionRevelando las preferencias de los consumidores de productos orgánicos en Perú: un enfoque basado en el análisis de clases latentes
Original languageEnglish
Pages (from-to)409-417
Number of pages9
JournalCiencia e Investigacion Agraria
Volume43
Issue number3
DOIs
StatePublished - 1 Jan 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  3. SDG 4 - Quality Education
    SDG 4 Quality Education
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  5. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Attributes
  • Latent class analysis
  • Metropolitan lima
  • Organic consumers
  • Peru
  • Socio-economic characteristics

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