Christian Krekel

How natural disasters can affect environmental concerns, risk aversion, and even politics: evidence from Fukushima and three European countries

We study the impact of the Fukushima disaster on environmental concerns, well-being, risk aversion, and political preferences in Germany, Switzerland, and the UK. In these countries, overall life satisfaction did not significantly decrease, but the disaster significantly increased environmental concerns among Germans. One underlying mechanism likely operated through the perceived risk of a similar meltdown of domestic reactors. After Fukushima, more Germans considered themselves as “very risk averse.” However, drastic German policy action shut down the oldest reactors, implemented the phaseout of the remaining ones, and proclaimed the transition to renewables. This shift in energy policy contributed to the subsequent decrease in environmental concerns, particularly among women, Green party supporters, and people living in close distance to the oldest reactors. In Germany, political support for the Greens increased significantly, whereas in Switzerland and the UK, this increase was limited to people living close to reactors.

Associations between Neighborhood Characteristics, Well-Being and Health Vary over the Life Course.

Background: Neighborhood characteristics are important determinants of individual health and well-being. For example, characteristics such as noise and pollution affect health directly, while other characteristics affect health and well-being by either providing resources (e.g. social capital in the neighborhood), which individuals can use to cope with health problems, or limiting the use thereof (e.g. crime). This also suggests that there might be age differentials in the impact of these characteristics, since individuals at different stages of life might need different resources. However, there is a lack of empirical evidence on age differentials in associations between well-being, health, and neighborhood characteristics. Objective: This paper studies associations between a wide range of neighborhood characteristics with the health and well-being of residents of the greater Berlin area. In particular, we focus on differences in the effects between younger (aged 20-35) and older (aged 60+) residents. Methods: We used data from the Berlin Aging Study II (312 younger and 993 older residents of the Berlin metropolitan area in Germany). We used survey data on health and well-being, combined these with subjective perceptions of the neighborhood, and geo-referenced indicators on the neighborhood, e.g. amenities (public transport, physicians, and hospitals). Results: The results show that access to public transportation is associated with better outcomes on all measures of health and well-being, and social support is associated with higher life satisfaction and better mental health. There are considerable differences between both age groups: while the associations between access to public transport and health and well-being are similar for both age groups, neighborhood social capital shows stronger associations for older residents. However, the difference is not always statistically significant. Conclusion: Having access to services is associated with better health and well-being regardless of age. Local policy makers should focus on lowering barriers to mobility in order to improve the health and well-being of the population. Since the social capital of a neighborhood is associated with better health and well-being among older residents, investments that increase social capital (e.g. community centers) might be warranted in neighborhoods with higher shares of older residents.

The Greener, the Happier? The Effects of Urban Green and Abandoned Areas on Residential Well-Being

This paper investigates the effects of urban green and abandoned areas on residential well-being in major German cities, using panel data from the German Socio-Economic Panel (SOEP) for the time period between 2000 and 2012 and cross-section data from the European Urban Atlas (EUA) for the year 2006. Using a Geographical Information System (GIS), it calculates the distance to urban green and abandoned areas, measured as the Euclidean distance in 100 metres between households and the border of the nearest urban green and abandoned area, respectively, and the coverage of urban green and abandoned areas, measured as the hectares covered by urban green and abandoned areas in a pre-defined buffer area of 1,000 metres around households, respectively, as the most important determinants of access to them. It shows that, for the 32 major German cities with more than 100,000 inhabitants, access to urban green areas, such as parks, is significantly positively associated, whereas access to abandoned areas, such as brown fields, is significantly negatively associated with residential well-being, in particular with life satisfaction, as well as mental and physical health. The effects are strongest for residents who are older, accounting for up to a third of the size of the effect of being unemployed on life satisfaction. Using data from the Berlin Aging Study II (BASE-II) for the time period between 2009 and 2012, this paper also shows that (older) residents who report living closer to greens have been diagnosed significantly less often with certain medical conditions, including diabetes, sleep disorder, and joint disease.

Sowing the Wind and Reaping the Whirlwind? The Effect of Wind Turbines on Residential Well-Being

This paper investigates the effect of wind turbines on residential well-being in Germany, using panel data from the German Socio-Economic Panel (SOEP) and a unique, novel data set on wind turbines for the time period between 2000 and 2012. Using a Geographical Information System (GIS), it calculates the distance from households to the nearest wind turbines to determine whether an individual is affected by disamenities, e.g. through visual pollution. The depth of our unique, novel data set on wind turbines, which has been collected at the regional level and which includes, besides their exact geographical coordinates, their construction dates, allows estimating the causal effect of wind turbines on residential well-being, using difference-in-difference propensity-score and spatial matching techniques. We demonstrate that the construction of a new wind turbine in a treatment area of 4000 metres around households has a significantly negative impact on life satisfaction. Moreover, this effect is found to be of transitory nature. Contrasting the implicit monetary valuation with the damage through CO2 emissions avoided by wind turbines, wind power turns out to be a favorable technology despite robust evidence for negative externalities.