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Many are the definitions of Circular Economy as well as the policies and strategies for its implementation. However, gaps still exist in quantifying the effects of circularity. The existing approaches are usually sector- or product-specific, limited to microscale systems, and/or fail to simultaneously assess the environmental impacts of the studied system. This paper introduces a generally applicable method in which a set of LCA-based indices of circularity are able to detect the effects of circularity/symbiosis strategies on the environmental performance of meso- and macro-systems. These indices quantify the overall system's circularity level by comparing the impacts of a system in which the components interact with each other (with a certain level of circularity) with an equivalent linear system (where no circularity takes place). The method works both on existing and projected systems, being able to track the effects of future circularity policies. This method obviates the limitations and the gaps mentioned above: it applies to meso- and macro-systems, it is not bound to a specific sector, it allows to capture the environmental impacts, and it is sensitive to the temporal dimension. This approach provides a tool to inform managers and policymakers for planning circularity actions and monitor their effectiveness while also capturing the temporal dimension., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Chicken meat production in the European Union (EU) causes environmental pressures within and beyond the EU, mostly due to feed consumption. The expected dietary shift from red to poultry meat will drive changes in the demand for chicken feeds and the associated environmental impacts, calling for a renewed attention on this supply chain. By performing a break-down analysis based on material flow accounting, this paper assesses the annual environmental burden caused within and outside of the EU by each single feed consumed by the EU chicken meat industry from 2007 to 2018. The increased feed demand required to support the growth of the EU chicken meat industry over the analyzed period caused a 17 % increase in cropland use - 6.7 million hectares in 2018. Instead, CO 2 emissions linked to feed demand decreased by ~45 % over the same period. Despite an overall improvement in resource and impact intensity, chicken meat production was not decoupled from environmental burden. In 2018, 0.40 Mt. of nitrogen, 0.28 Mt. of phosphorous, and 0.28 Mt. of potassium inorganic fertilizers were implied. Our findings indicate that the sector is not yet compliant with the EU sustainability targets defined in the Farm To Fork Strategy, calling for an urgent need to fill existing policy implementation gaps. The EU chicken meat industry's environmental footprints were driven by endogenous factors such as the feed use efficiency at the chicken farming stage and the feed cultivation efficiency within the EU, as well as by exogenous factors such as the import of feed via international trade. Limitations on the use of alternative feed sources, as well as the exclusion of the imports from the EU legal framework constitute a crucial gap, which hamper fully leveraging existing solutions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

This study aims to assess the sustainability of an agroforestry system: i.e. a system obtained by the union of two productions to get at least two by-products from the same productive space. In particular, this case study presents the integration of a goose raising system with an organic grape production, from an environmental point of view. This integration is mainly designed to have two simultaneous co-products (grape and goose meat) with: i) a less intensive use of machineries for weeding and ii) avoiding use of chemical fertilizers and weeding. The sustainability is assessed by means of emergy evaluation. Emergy is a thermodynamic based tool able to estimates the environmental cost of products and services in terms of the solar energy (directly and indirectly) required for its production. As Emergy is not a state function, its final value depends on the way the product is made. The set theory applied to the emergy evaluation enables the comparison between the integrated system and the originating isolated systems in a proper way. Results confirm that the integrated system enables a saving, in emergy terms, amounting to 33% compared to the two originating isolated production systems. Emergy evaluation is able to keep track of the lower amount of resources required from outside the agroforestry system due to the optimization of resources internally available., (Copyright © 2017 Elsevier B.V. All rights reserved.)

The comparison of the Ecological Footprint and its counterpart (i.e. biocapacity) allow for a classification of the world's countries as ecological creditors (Ecological Footprint lower than biocapacity) or debtors (Ecological Footprint higher than biocapacity). This classification is a national scale assessment on an annual time scale that provides a view of the ecological assets appropriated by the local population versus the natural ecological endowment of a country. We show that GDP per capita over a certain threshold is related with the worsening of the footprint balance in countries classified as ecological debtors. On the other hand, this correlation is lost when ecological creditor nations are considered. There is evidence that governments and investors from high GDP countries are playing a crucial role in impacting the environment at the global scale which is significantly affecting the geography of sustainability and preventing equal opportunities for development. In particular, international market dynamics and the concentration of economic power facilitate the transfer of biocapacity related to “land grabbing”, i.e. large scale acquisition of agricultural land. This transfer mainly occurs from low to high GDP countries, regardless of the actual need of foreign biocapacity, as expressed by the national footprint balance. A first estimation of the amount of biocapacity involved in this phenomenon is provided in this paper in order to better understand its implications on global sustainability and national and international land use policy.

The Kyoto protocol has established an accounting system for national greenhouse gas (GHG) emissions according to a geographic criterion (producer perspective), such as that proposed by the IPCC guidelines for national GHG inventories. However, the representativeness of this approach is still being debated, because the role of final consumers (consumer perspective) is not considered in the emission allocation system. This paper explores the usefulness of a hybrid analysis, including input-output (IO) and process inventory data, as a complementary tool for estimating and allocating national GHG emissions according to both consumer- and producer-based perspectives. We assess the historical GHG impact profile (from 1995 to 2009) of Luxembourg, which is taken as a case study. The country's net consumption over time is estimated to generate about 28,700 Gg CO2e/year on average. Compared to the conventional IPCC inventory, the IO-based framework typically shows much higher emission estimations. This relevant discrepancy is mainly due to the different points of view obtained from the hybrid model, in particular with regard to the contribution of imported goods and services. Detailing the GHG inventory by economic activity and considering a wider system boundary make the hybrid IO method advantageous as compared to the IPCC approach, but its effective implementation is still limited by the relatively complex modeling system, as well as the lack of coordination and scarce availability of datasets at the national level., (Copyright © 2014 Elsevier B.V. All rights reserved.)