3. Producción

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    Environmental management, cleaner production and organizational performance: a structural approach
    (Widener University School of Civil Engineering, 2021-11-01)
    Organizations can redirect their business models to solve the problem of materials depletion using environmental management and cleaner production as practices of the circular economy. This study aims to measure the relationship between environmental management, cleaner production, and organizational performance. Within this context, a survey of 372 companies was performed in the agro-industrial, manufacturing and construction sectors in three important productive regions of Colombia. Structural Equation Modeling was used for data analysis. The economic sector moderated the relationship between the latent variables. This phenomenon was analyzed using a multi-group technique. The results show that Cleaner production is positively related to Organizational Performance at corporations. The results show that Cleaner production is positively related to Organizational Performance at corporations. It was also observed that Environmental Management influences Cleaner Production. Finally, it is worth noting that productive sectors in Colombia tend to be committed to circular economy practices, some to environmental management and others to cleaner production with an impact on organizational performance. The result of the study may be useful for domestic and foreign investors and managers, for analysts and researchers, and for educators. The rationale behind this is an understanding that interactions between environmental management and cleaner production and organizational performance will influence the academic community or business activity to generate behaviors favoring the environment and sustainable development. These findings will be extremely useful for promoting future research studies on establishing an improved framework for the promotion of environmental management and cleaner production practices primarily among Colombian productive companies. This work can also serve as a reference for other industrial sectors and countries.
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    The combined use of life cycle assessment and data envelopment analysis to analyse the environmental efficiency of multi-unit systems
    (Elsevier, 2022-01-01)
    The combination of life cycle assessment (LCA) and data envelopment analysis (DEA) methodologies has been employed over the past years to assess the eco-efficiency of a wide spectrum of production systems. This chapter presents a critical review on current practices of the joint application of LCA+DEA, as well as point towards the methodological challenges and opportunities for the future. Considering the growth of the method in the past decade, it is plausible to assume that an increasing number of studies will continue to appear in the literature. The development of guidance or standardisation reports would constitute a step forward in terms of providing advice on how recurrent methodological issues (e.g. uncertainty, selection of impacts categories or DEA models, etc.) should be addressed in LCA+DEA.
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    Identifying environmental impacts linked to the production of plant-based spreads in Peru using life cycle assessment
    (Elsevier B.V., 2024-06-01)
    Plant-based spread products, such as margarine, are made up of a combination of diverse ingredients, many times arriving from different parts of the world. This makes their environmental impact challenging to compute. In Latin America, despite efforts in recent years to enlarge the number of food items that have been analyzed from an environmental perspective, many processed products remain unexplored. In this context, the main objective of the current study was to determine the environmental impacts of a set of five plant-based spread products in Peru using life cycle assessment. For this, primary data were collected from the main margarine producer up to the gate of the agroindustrial plant ready for distribution. Methodological choices, such as allocation, the computation of land use changes (LUCs) or agricultural management variability, were an important subset of variables to be considered in the life cycle modeling and accounted for through scenario and sensitivity analyses. Results demonstrated that greenhouse gas (GHG) emissions related to margarine production in Peru range from 1.66 to 6.00 kg CO2eq per kilogram of product, in a similar range to other studies in the literature. LUCs accounted for the highest contribution to GHG emissions, whereas crude oil extraction, as well as on field fertilizer emissions were the other main contributors. In other impact categories, plant protection agents were relevant in toxicity indicators, fertilization in eutrophication and transport in air quality-related categories. These results constitute a benchmark for the production of plant-based products in Latin America and are useful for attaining cleaner production, as well as for the optimization of ingredients and packaging design.