Search

Cities are major drivers of environmental change at all scales and are especially at risk from the ensuing effects, which include poor air quality, flooding and heat waves. Typically, these issues are studied on a city-by-city basis owing to the spatial complexity of built landscapes, local topography and emission patterns. However, to ensure knowledge sharing and to integrate local-scale processes with regional and global scale modelling initiatives, there is a pressing need for a world-wide database on cities that is suited for environmental studies. In this paper we present a European database that has a particular focus on characterising urbanised landscapes. It has been derived using tools and techniques developed as part of the World Urban Database and Access Portal Tools (WUDAPT) project, which has the goal of acquiring and disseminating climate-relevant information on cities worldwide. The European map is the first major step toward creating a global database on cities that can be integrated with existing topographic and natural land-cover databases to support modelling initiatives. [ABSTRACT FROM AUTHOR]

There is an ongoing scientific debate about how environmental concern develops in a population, and under which circumstances it might decline at some point. In this paper, by analysing thirty years of microdata from the German Socio-Economic Panel (SOEP), I investigate the role of socioeconomic factors and political preferences in altering and addressing environmental perceptions in Germany, Europe's green leader. Results from correlated random-effects models reveal, inter alia, that economic insecurity and support for right-wing political parties significantly contribute to lowering environmental concern. Hence, policymakers ought to focus on economic insecurity in order to increase citizens' environmental concern and, eventually, bring an enhancement in pro-environmental behaviour as a result of the voters' political will. • I examine the economic and political factors shaping environmental concern over time. • I analyse 30 years of microdata from the German Socio-Economic Panel (SOEP). • I employ Mundlak-type correlated random-effects models and Difference-in-Differences. • Economic insecurity and political choices are key drivers of environmental concern. • The results may be useful to policymakers, marketers, green businesses, and educators. [ABSTRACT FROM AUTHOR]