Overweight and obesity have become global concerns in developed and developing countries due to their rise in recent years and their association with the prevalence of non-communicable diseases including diabetes, hypertension and cardiovascular diseases. In fact, it is estimated that roughly 39% of adults worldwide are overweight and 13% are obese. Ecuador is an example of a developing country concerned with the overweight and obesity problem, where it is estimated that 30% of children, 26% of teenagers and 63% of adults are either overweight or obese and where 1 in 4 deaths are attributed to chronic diseases. To address the overweight and obesity problem via the promotion of healthy eating habits, in 2013 the country approved technical regulation for the labelling of packed processed food products. The regulation included a mandatory traffic-light (TL) supplemental nutritional information labelling system to be displayed on the package of all processed foods for sale in the country. This new labelling system displays a traffic light panel for the product content of sugar, fat and salt in addition to the traditional nutrient declaration label. The objective of this paper was to evaluate the effect of the TL supplemental nutritional information on consumers’ buying behavior in Ecuador. More specifically, we concentrated on the purchasing behavior of carbonated soft drinks. For our analysis, we used monthly aggregated purchase data (total expenditures, quantities and average prices) of carbonated soft drinks from January 2013 to December 2015 obtained from Kantar World Panel—Ecuador. We estimated a non-linear Almost Ideal Demand System where we model the demand for high sugar and low sugar carbonated soft drinks. We found that the introduction of the traffic light supplemental nutrition labelling did not have the expected effect of reducing purchases of carbonated soft drinks during its first year of implementation, especially those high in sugar. Additionally, we found that lower income-status households tend to spend more on and consume more calories from CSD than households with higher socio-economic status. Finally, we identified that over time purchases of high sugar soft drinks decreased while purchases of low and no sugar soft drinks increased. Beyond our contribution of evaluating the effect of the traffic light on the purchases of carbonated soft drinks, we also estimated price and income elasticities of carbonated soft drinks which can be useful in the evaluation of fiscal policies.

To evaluate the effect of "traffic-light" nutritional labeling on the purchase of soft drinks and on their nutritional content in Ecuador. Two databases were used: the first was provided by Ecuador's National Agency for Health Regulation, Control, and Surveillance; the second was obtained from the international market research company Kantar World Panel. A before/after study was conducted of introducing traffic-light labeling, using Student's t-tests to evaluate changes in average nutritional content and the purchase of soft drinks. Multiple linear regression methods were used to evaluate changes in purchases resulting from the introduction of traffic-light labeling. After labeling, average per capita consumption of soft drinks declined by 0.003 L/month--a small change with respect to average per capita consumption of 1.678 L/month. The results of the Student's t-tests indicated that this difference was not statistically significant. Furthermore, the regression analyses found no empirical evidence that traffic-light labeling affected soft drink consumption. With regard to sugar content, an average reduction of 0.93 gm/100 ml of beverage was observed. No empirical evidence was found that implementation of traffic-light labeling changed soft-drink purchase habits in Ecuador, but there is evidence that it reduced sugar content in carbonated beverages in the country.

Food security is a multi-dimensional concept that requires multiple indicators to measure it correctly; however, single food security indicators are often used individually or interchangeably. The misinterpretation of individual food security indicators can have important implications for policy design and implementation. The general objective of this paper is to show the discrepancies that may arise when using two different food security indicators that operate in the same dimension of the food security concept and yield the same outcome (food security status of the household) in three of the scenarios that they might be used: (1) for measuring the prevalence of food insecurity, (2) for understanding its drivers, and (3) for estimating the potential impact of a policy. The specific objectives of this paper are (1) to measure and compare the prevalence of food insecurity in a country using the Latin America Food Security Scale (ELCSA, by its acronym in Spanish) and the household undernourishment indicator, (2) to compare the factors associated with households’ food security status using the two indicators, and (3) to assess the potential use of the two indicators for ex ante policy analysis. Data for the study comes from the 2011 Survey of Living Standards from Guatemala, which collected all the data for estimating the ELCSA and the household level data required for calculating the household undernourishment indicator. Our results indicate considerable differences in the estimated prevalence of food insecurity at the national and regional levels using the two alternative indicators, with ELCSA resulting in higher estimates. Logistic regression models estimated to assess and identify household food insecurity drivers also found large differences in both the direction and magnitude of factors affecting food insecurity using the alternative food security indicators. Finally, the magnitude of the simulated impact of a cash transfer policy varied depending on the food indicator used.

Predicción nutricional para pastos tropicales por espectroscopía de reflectancia en el infrarrojo cercano

Introduction. Climate change adaptation measures require informed decision-making. However, small-scale agriculture shows low rates of technology adoption due to cost and lack of connectivity. Objective. To evaluate three low-cost prototypes of small-scale agriculture devices for soil moisture measurement in different soil textures, as well as to determine the respective calibration equations, and the effects of electrical conductivity and temperature on moisture measurement. Materials and methods. Three measurement and recording prototypes for soil moisture were evaluated in soils with variations in clay/sand content and electrical conductivity in productive plots at Zamorano University in Honduras and a demonstration farm in Popayán, Colombia during the first quarter of 2022. Commercial sensors were used as a reference to compare the performance of the prototypes through regression analysis of hourly sensor readings over 90 days. Electrical conductivity (dS/m) and temperature variables were collected to determine their influence on moisture reading accuracy. Results. The soil moisture measurement devices showed better performance in soils with lower sand content. The measurement from the devices overestimated moisture readings by 0.19 to 0.52 percentage points for each additional degree of soil temperature. Additionally, for each additional dS/m of electrical conductivity, the reading needed adjustment by 8 to 55 percentage points. Conclusions. Prototype A was the most accurate device, while prototype B was the most precise compared to commercial sensors. Soil moisture devices performed best in soils with lower sand content. The three models evaluated performed best in loam soil with a medium clay content.

Despite the growing interest in sustainability in the coffee value chain, studies that identify consumers with sustainable values and attitudes are limited, particularly in Latin America. This study developed and validated an instrument in Spanish to cluster coffee consumers based on their sustainable attitudes and values. The instrument consists of 18 items grouped into five constructs: green, ethical, experience, price, and attachment. The validity and reliability of the instrument were verified through Principal Component Analysis and Confirmatory Factor Analysis with consumers from Latin America and Colombia. Thus, this instrument can be used to identify local market segments in producer countries. Key words: Coffee consumer profile; clustering; market research; market segment; confirmatory factor analysis.