Socioeconomic Characteristics, Purchasing Preferences and Willingness to Consume Organic Food: A Cross-Location Comparison of Nine Cities in Central Ecuador.

Agriculture worldwide faces the need to reduce chemical pesticides and produce healthier food. In Latin America, research on the organic food sector primarily focuses on supply. Consumption analysis is crucial for providing information about customers' needs. This paper aims to analyze the Ecuadorian organic food sector, which is an interesting case for investigating the relationship between willingness to consume organic food and socioeconomic factors. To this end, 382 consumers were surveyed. The study applied a logit regression analysis to assess the role of socioeconomic factors in the willingness to consume organic food. Radar diagrams depict the percentage of respondents who checked a particular reason for choosing or refusing organic food. A cross-location comparison analysis was applied to identify differences between locations within the Central Ecuador region. Results reveal that Ecuadorian consumers' awareness rate of organic food is only 53.5%. Regarding organic food's price, 24% of consumers perceive it to be overly expensive. Based on strengthening the supervision of organic food production, various channels should be used to promote organic food consumption and facilitate the recognition of available organic food.

Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador.

Inadequate food and nutrition affect human well-being, particularly for many poor subpopulations living in rural areas. The purpose of this research was to analyze the factors that determine the Household Dietary Diversity Score (HDDS) in the rural area of the Paute River Basin, Azuay Province, Ecuador. The sample size of 383 surveys was determined by a stratified random sampling method with proportional affixation. Dietary diversity was measured through the HDDS, with 12 food groups (cereals; roots and tubers; fruits; sugar/honey; meat and eggs; legumes or grains; vegetables; oils/fats; milk and dairy products; meats; miscellaneous; fish and shellfish) over a recall period of 7 days. A Poisson regression model was used to determine the relationship between the HDDS and sociodemographic variables. The results show that the average HDDS of food consumption is 10.89 foods. Of the analyzed food groups, the most consumed are cereals; roots and tubers; fruits; sugar/honey. In addition, the determinants that best explain the HDDS in the predictive model were housing size, household size, per capita food expenditure, area of cultivated land, level of education, and marital status of the head of household. The tools used in this research can be used to analyze food and nutrition security interventions. Furthermore, the results allow policymakers to identify applicable public policies in the fight against hunger.