Intensive poultry farming transforms vegetable protein into animal protein through shelf egg and chicken meat production. Mexico is the largest egg consumer and fifth-ranked egg producer worldwide. However, the environmental impact of egg production in this country is scarcely reported. This research aimed to design an eco-efficient approach for egg production in a semi-technified farm based on door-to-door life cycle assessment (LCA) and value stream mapping (VSM) methodologies. The LCA points out that the climate change category is a hotspot in egg production, with emissions of 5.58 kg CO₂ eq/kg per egg produced. The implementation of an eco-efficient scheme focused on energy usage could result in a 49.5% reduction of total energy consumption and 56.3% saving in environmental impacts. Likewise, by using an environmental economic evaluation system, it is identified that the eco-efficient scheme allows more sustainable production through the internalization of externalities. From an environmental–economic point of view, externalities—that is, those environmental damages that are not initially considered part of the production cost—were included, meaning they were internalized. The integral framework for LCA and VSM provides a possible path for sustainable productivity.

Certain domestic wastes exhibit characteristics that render them dangerous, such as explosiveness, flammability, spontaneous combustion, reactivity, toxicity and corrosiveness. The lack of information about their generation and composition hinders the creation of special programs for their collection and treatment, making these wastes a potential threat to human health and the environment. We attempted to quantify the levels of hazardous household waste (HHW) generated in Mexicali, Mexico. The analysis considered three socioeconomic strata and eight categories. The sampling was undertaken on a house-by-house basis, and hypothesis testing was based on differences between two proportions for each of the eight categories. In this study, HHW comprised 3.49% of the total generated waste, which exceeded that reported in previous studies in Mexico. The greatest quantity of HHW was generated by the middle stratum; in the upper stratum, most packages were discarded with their contents remaining. Cleaning products represent 45.86% of the HHW generated. Statistical differences were not observed for only two categories among the three social strata. The scarcity of studies on HHW generation limits direct comparisons. Any decrease in waste generation within the middle social stratum will have a large effect on the total amount of waste generated, and decrease their impact on environmental and human health.

En América Latina y el Caribe (ALC) las viviendas continúan siendo la fuente principal de generación de los residuos sólidos urbanos (RSU), por lo que la información veraz sobre la generación y composición es fundamental para su gestión, ya que en general carecen de infraestructura suficiente para el tratamiento adecuado de éstos. Esta investigación analiza la generación de residuos sólidos domésticos (RSD), a efecto de comparar su composición y establecer similitudes y diferencias que inciden en los patrones de generación de RSU en esta región. El análisis y comparación de la composición se realizó con base en datos de generación de RSD (kg/hab-d) de las ciudades de Asunción, Paraguay; Ensenada, San Quintín, Vicente Guerrero, Morelia y Zinacantepec, México; Mataucana y Trujillo, Perú; Cartagena, Colombia y Quito, Ecuador. Entre los principales resultados se encontraron variaciones en la generación y composición de los RSD de las ciudades estudiadas y la fracción orgánica continua siendo predominante; no obstante la heterogeneidad de la composición se ha incrementado, siendo la mayor parte de componentes reciclables. Los análisis de generación en los países de estudio confirman que las viviendas de ALC mantienen una estratificación socioeconómica similar pero que no incide en la composición y cantidad de residuos sólidos producidos. Lo anterior corrobora la importancia de contar con datos precisos y actualizados de tasas de generación y composición, ya que estos datos son críticos para el diseño de programas de gestión que incluyan el reciclaje y la disposición final adecuada.