Abstract

Informal recycling is one of the most significant activities within waste management systems in low-income countries. The main aspect of a number of recently implemented waste management systems has been to organise the informal recycling sector. The implementation of formalisation is expected to eliminate social problems related to the informal sector, but this has not been precisely measured and evaluated. A lack of methodology to assess social impacts persists, as does the comparison of different formalisation approaches. The goal of this work is to develop a methodological procedure for assessing the contribution of formalised recycling systems in low-income countries in terms of social impacts, in comparison with informal systems. Some existing social assessment approaches were evaluated by a review of literature. This investigation focuses on the development of the social life cycle assessment approach, the analysed social aspects, proposed indicators and characterisation models within this framework. This study proposes an approach for the social assessment of recycling systems based on formalisation approaches in low-income countries oriented towards the social life cycle assessment methodology (sLCA). The approach developed considers 3 social impact categories, 9 social subcategories and 26 semi-quantitative indicators for the assessment of the social impacts on formalised recyclers. It includes a characterisation procedure that takes into consideration the application of a score system and the calculation of average scores at both the indicator and subcategory levels. This research shows that it would be feasible to apply a sLCA-based methodology to evaluate recycling systems based on formalisation of the informal sector. The impact categories and subcategories identified represent the social problems of informal recyclers. The 26 semi-quantitative indicators and the proposed characterisation approach attempt to measure the social impacts that currently are only qualitatively assumed. The applicability and validation of the indicators and characterisation procedure will be determined by further research. The methodology developed will be tested using data from three recycling systems in Peruvian cities.

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