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Abstract: This paper analyses the use of indicators for tracking the progress over time (2005–2010) of the municipal solid waste (MSW) management targets in the region of Cantabria (Northern Spain). The combined use of a set of material flow indicators together with estimations of carbon footprint (CF) is suggested. The MSW generation, the treatment of MSW (recycling, composting, incineration and landfilling), the recycling rates of glass, paper and cardboard and packaging wastes, and the landfill of bio-waste have been used as individual indicators. The main characteristics of different CF models applied to MSW management system are highlighted. Four CF models that allow indirect emissions accounting and that use a wide range of aggregated emission factors have been applied to the Cantabria MSW management system. According to the studied set of indicators based on material flows, some of the regional objectives for recycling rates have been achieved by 2010. Besides, the CF values have improved significantly in savings (−179,527tCO2e in 2005 to −310,566tCO2e in 2010) or in neat loads (74,443tCO2e in 2005 to 67,697tCO2e in 2010), depending on the CF model used. The decrease is due mainly to the implementation of the incineration plant at 2007 and the starts up of the municipal sewage sludge drying facilities. Further improvements on the MSW management indicators and additional reductions in GHGs emissions can be achieved through application of the specific actions on the Cantabria Regional Waste Plans by 2014. The analysed material flow indicators together with the CF data obtained in the present work would be useful in the regional planning decisions on the MSW management issue. [Copyright &y& Elsevier]

By using an environmentally extended multi-regional input-output model, this paper analyses the Spanish households' carbon footprint for the 2008–2017 period considering the municipality size as well as the urban or rural residential zone where families live. Results show that, on a per capita basis, inhabitants of medium-large municipalities emit fewer carbon emissions than those settled in small ones (between 0.34 and 0.54 tCO 2 /cap depending on the year studied). This carbon unbalance is mainly explained by the higher direct carbon footprints of dwellers who reside in small municipalities and, in special, in rural zones. Furthermore, applying inequality measures through a consumption-based carbon footprint Gini coefficient, we show that both income and CO 2 emissions inequality are lower in small municipalities. In the light of the findings, in Spain, the application of a carbon pricing on direct and indirect carbon footprints will be regressive, disproportionally affecting people of small municipalities and rural areas. Accordingly, household carbon inequalities must be contemplated to avoid poorly designed climate change mitigation policies. [ABSTRACT FROM AUTHOR]

• Dehesa systems are characterised by their semi-arid and often marginal conditions. • Adequate management is based on the use of reduced stocking rates • The carbon footprint is calculated in the context of life cycle assessment. • There is a need to promote initiatives to reduce livestock emissions and analyse the effects of the changes in land use. In recent decades there have been significant changes in land use and production orientation in certain marginal agricultural areas in the southwest of Spain. The abandonment of rainfed cereal crops and their change of use as natural pastures grazed by milk sheep, have led to an improvement in the profitability of the farms, greater industrialisation and a positive impact on rural development. This paper calculates the carbon footprint (CF) of farms in the context of life cycle assessment with the objective to identify the system that accounts for the lowest CF while maintaining adequate levels of profitability and revitalising the rural environment. The data were obtained through surveys carried out on dairy sheep farms of different typologies, ranging from the semi-intensive farms with small grazing areas, to the extensive farms with large areas of natural pastures. Findings could help farmers evaluate the environmental impact of their activities, while at the same time provide consumers with valuable evidence to be used in further marketing actions. Greenhouse gas emissions vary from 1.77 to 4.09 Kg CO 2 eq/kg of milk, where the lowest values correspond to the most intensive farms and the highest values to the most extensive and least productive farms. Enteric fermentation, followed by feeding, are the emissions with the greatest impact. Enteric fermentation reaches its maximum value (52.22 % of the total emissions) in the most extensive farms. On other hand, this study found that carbon sequestration varies between 0.09 and 2.04 kg of CO 2 eq/kg of milk, a figure that can considerably reduce the carbon footprint calculation and justifies its inclusion in the Life Cycle Assessment. [ABSTRACT FROM AUTHOR]