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European survey data shows strong temporal fluctuations in climate change concern within European countries and large differences in concern between these countries. However, there is as yet no comprehensive understanding of what drives these longitudinal and cross-sectional patterns. To fill this knowledge gap, this study analyzes data of over 155,000 survey respondents from 28 European countries over the period 2008–2017. This study is the first to apply within-between random effects models to simultaneously analyze longitudinal and cross-sectional determinants of climate change concern, and examine if and how the influence of these determinants has changed over time. Substantively, it researches the nexus between climate change and two other crises that have captured the imagination of European publics over the studied period: the liberal democracy crisis and the economic crisis. The former is characterized by the rise of right-wing populist parties in Europe. Right-wing populism is often at odds with climate change policies, and its rise in popularity could have undermined public concern about climate change. We find only a weak negative longitudinal relationship between such concern and the popularity of right-wing populist parties, and no significant cross-sectional relationship. We find that economic performance is strongly positively associated with concern, with GDP per capita being most important for explaining cross-country differences in concern, and deviations in unemployment being most important for explaining longitudinal within-country change. However, this negative longitudinal relationship with unemployment weakens considerably over time, illustrating the importance of including dynamic effects in modeling efforts to generate more reliable results.

Since the European Energy Efficiency Directive, a lot of attention has been paid to energy saving measures, including how to overcome the barriers for implementation. This paper addresses the dilemmas of the Dutch dairy sector, where farms are getting bigger and mechanization is increasing, while at the same time the sector is aiming for improved energy efficiency and sustainability. With an online tool which systematically recorded the energy performance of dairy farmers, a unique dataset on farm energy use with more than 25,000 observations over the years 2015–2018 was obtained. This allows for a robust analysis of the determinants of energy efficiency in the sector, using panel data analyses. The results of this study reveal three major trends. First, the on-farm use of solar panels proves to be the most significant determinant for reducing non-renewable energy use. Second, gains in energy efficiency triggered by government policies are countervailed by the continuous trend of mechanization, with especially automatic milking systems causing lower energy efficiency. Third, the increasing economies of scale in milk production substantially improve per-unit energy efficiency. However, the increased need for mechanization related to higher on-farm production can cancel out this economies-of-scale effect. These findings add important new insights to the literature on cleaner production in farms and have important policy implications. Strategies for more energy-efficient farming should entail two directions for innovation: first, the stimulation of more energy efficient automatic milking systems, and second, the stimulation of solar energy production on farms including a better on-farm utilization of solar electricity.

Since the European Energy Efficiency Directive, a lot of attention has been paid to energy saving measures, including how to overcome the barriers for implementation. This paper addresses the dilemmas of the Dutch dairy sector, where farms are getting bigger and mechanization is increasing, while at the same time the sector is aiming for improved energy efficiency and sustainability. With an online tool which systematically recorded the energy performance of dairy farmers, a unique dataset on farm energy use with more than 25,000 observations over the years 2015–2018 was obtained. This allows for a robust analysis of the determinants of energy efficiency in the sector, using panel data analyses. The results of this study reveal three major trends. First, the on-farm use of solar panels proves to be the most significant determinant for reducing non-renewable energy use. Second, gains in energy efficiency triggered by government policies are countervailed by the continuous trend of mechanization, with especially automatic milking systems causing lower energy efficiency. Third, the increasing economies of scale in milk production substantially improve per-unit energy efficiency. However, the increased need for mechanization related to higher on-farm production can cancel out this economies-of-scale effect. These findings add important new insights to the literature on cleaner production in farms and have important policy implications. Strategies for more energy-efficient farming should entail two directions for innovation: first, the stimulation of more energy efficient automatic milking systems, and second, the stimulation of solar energy production on farms including a better on-farm utilization of solar electricity.

AbstractThis study adds to an emerging literature on the factors associated with individual perceptions of COVID‐19 risks and decision‐making processes related to prevention behaviors. We conducted a survey in the Netherlands (N = 3600) in June–July 2020 when the first peak of COVID‐19 infections, hospitalizations, and deaths had passed, and lockdown measures had been eased. Dutch policies relied heavily on individual prevention behaviors to mitigate a second infection wave. We examine whether biases and heuristics that have been observed in how people perceive and respond to other risks also apply to the newly emergent risks posed by COVID‐19. The results indicate that people simplify risk using threshold models and that risk perceptions are related with personal experiences with COVID‐19 and experiences of close others, supporting the availability heuristic. We also observe that prevention behavior is more strongly associated with COVID‐19 risk perceptions and feelings toward the risk than with local indicators of COVID‐19 risks, and that prevention behavior is related with herding. Support for government lockdown measures is consistent with preferences that may contribute to the not‐in‐my‐term‐of‐office bias. In addition, we offer insights into the role of trust, worry, and demographic characteristics in shaping perceptions of COVID‐19 risks and how these factors relate with individual prevention behaviors and support for government prevention measures. We provide several lessons for the design of policies that limit COVID‐19 risks, including risk communication strategies and appeals to social norms. Perhaps more importantly, our analysis allows for learning lessons to mitigate the risks of future pandemics.

This study reviews existing legal, institutional and policy tools and frameworks, relevant to the introduction and adoption of new marine litter clean-up technologies in two regional European seas, the Mediterranean and the Baltic. A combination of desk studies in six countries bordering the Baltic (Estonia, Germany, Sweden) and the Mediterranean (Greece, Italy, Tunisia), and interviews with experts and stakeholders, is used to identify key drivers and barriers to the adoption and diffusion of marine litter technologies. The main conclusion of the study is that the most influential pieces of legislation relevant to marine litter management are top-down EU policies, often forming the basis of regional and national plans. Moreover, the study finds that several drivers of marine litter technologies may at the same time be critical barriers. These factors include public awareness, consumer behaviour, enforcement of legislation, and the rise of SMEs engaged in recycling and eco-labelling of marine litter. ; Research on marine litter in Italy and Greece is mostly funded through European research programmes and funding from the respective Ministries of Environment, and sometimes through private donations. Marine litter collection is typically carried out through campaigns led and organised by environmental NGOs employing volunteers, also sometimes funded by private donors.

This study reviews existing legal, institutional and policy tools and frameworks, relevant to the introduction and adoption of new marine litter clean-up technologies in two regional European seas, the Mediterranean and the Baltic. A combination of desk studies in six countries bordering the Baltic (Estonia, Germany, Sweden) and the Mediterranean (Greece, Italy, Tunisia), and interviews with experts and stakeholders, is used to identify key drivers and barriers to the adoption and diffusion of marine litter technologies. The main conclusion of the study is that the most influential pieces of legislation relevant to marine litter management are top-down EU policies, often forming the basis of regional and national plans. Moreover, the study finds that several drivers of marine litter technologies may at the same time be critical barriers. These factors include public awareness, consumer behaviour, enforcement of legislation, and the rise of SMEs engaged in recycling and eco-labelling of marine litter.