Suchergebnisse

Climate change and ecological crisis are a huge threat to Europe and the world. To overcome these challenges, Europe adopted the New Green Deal as a strategy transforming the Union into a competitive resource-efficient economy without greenhouse gas emissions and become carbon neutral in a few decades. The European Green Deal includes the new circular economy action plan, highlighting the importance of a products' "green design", saving raw materials, and waste prevention oriented along the entire life cycle of products. Construction and buildings represent one of the key topics for the green transition. In the European Union, buildings are responsible for 40% of our energy consumption and 36% of greenhouse gas emissions, which are mainly caused by construction, usage, renovation, and demolition. Improving environmental efficiency can play a key role in reaching the carbon neutrality of Europe that is expected to be achieved by 2050. In this research, it was explored how Eco-design, as an innovative approach in buildings and construction, Life Cycle Thinking and Life Cycle Assessment, as fundamental supporting tools in sustainability, and finally appropriate and effective Construction and Demolition Waste recycling processes, particularly oriented to concrete recycling according to the case studies analyzed, can promote a circular economy in buildings and construction.

Authors would like to acknowledge the support of the research grant SPS Flagship ReIndustrialise Project, financed by EIT Climate KIC supported by EIT, a body of the European Union. ; Organisations have been disclosing environmental and social information through different tools, including their websites. However, the type of environmental and social information that organisations disclose online, and what are the characteristics of those organisations is still not fully understood. This research aims to (a) identify which environmental and social information organisations disclose online; and (ii) explore drivers of the specific information disclosed. We collected data on sustainability disclosures from 2008 Italian organisations. Results show that overall the amount of environmental and social information disclosed online is low. However, organisational characteristics explain different contents of disclosure. Bigger organisations (in terms of revenues and number of employees), and with environmental and social certifications in place tend to disclose more environmental and social information. Also, consumer goods' organisations disclose mostly information related to the supply chain; whilst resource-intensive industries disclosemostly information on corporate social responsibility. This research shows that overall there is still a reserved attitude towards disclosing environmental and social information in Italian organisations, providing little information to stakeholders about environmental and social policies, strategies and practices. This study provides researchers and practitioners information on the content of sustainability information disclosed and possible drivers for their disclosure; this supports their understanding of the conditions where voluntary sustainability disclosure is more expected. ; publishersversion ; published

Sustainability Transitions (ST) is a complex phenomenon, encompassing environmental, societal and economic aspects. Its study requires a proper investigation, with the identification of a robust indicator and the definition of a suitable method of analysis. To identify the most informative geographical boundaries for analysing ST pathways, we consider the Carbon Emission Intensity (CEI) and estimate a four-level growth model to study its pattern over time for all the EU regions. We apply this model to a novel longitudinal dataset that covers CEI data of European regions at four different geographical scales (state, areas, regions, and provinces) over a nine-year timespan. This approach aims at supporting the decision-makers in developing more effective sustainability transitions policies across Europe, especially focusing on regions and overcoming the well-known "one-size fits all" approach. • The unconditional growth model has been applied to a multi-level structure considering four levels, defined by three geographical scales and time. • The ideal structure of the model would have required five levels, but the sample size of the dataset made the application computationally unfeasible; • The application of the model allowed to identify patterns of stability and change over time of the variable amongst different geographical units.