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AbstractUnderstanding how personal experience of extreme weather events raises awareness and concern about climate change has important policy implications. It has repeatedly been argued that proximising climate change through extreme weather events holds a promising strategy to increase engagement with the issue and encourage climate change action. In this paper, we exploit geo-referenced panel data on climate change attitudes as well as natural variation in flood and heatwave exposure in England and Wales to estimate the causal effect of extreme weather events on climate change attitudes and environmental behaviours using a difference-in-differences matching approach. Our findings suggest that personal experience with both flooding and heatwaves significantly increases risk perception towards climate change impacts but has no effect on climate change concern or pro-environmental behaviour, on average. Moreover, the findings indicate that the effect of flooding on risk perception is highly localised and diminishes at greater distances. For heatwaves, we find that the effect on risk perception is driven by the recent salient summer heatwaves of 2018 and 2019. Having experienced both events also significantly increases climate change concern and pro-environmental behaviour, in addition to risk perception.

Effectively mitigating climate change entails a quick upscaling and redirection of electricity infrastructure investment. Given that the bulk of greenhouse gas emissions increases until 2050 will come from low- and middle-income countries, finding cost-effective ways to mitigate climate change while meeting development targets is essential. However, recent research has shown some of the limitations of broad financing mechanisms, such as the Clean Development Mechanism (CDM) and existing carbon markets. This has resulted in a growing interest in designing novel investment support schemes, such as modifications of targeted feed-in-tariffs (FiTs) that may be more cost effective and better targeted towards particular outcomes when compared to traditional deployment subsidies or broad financing mechanisms. We evaluate the design and outcomes of one such novel support schemes: the GET FiT (Global Energy Transfer Feed-in Tariff) investment support scheme in Uganda, which has attracted ~ 453 million USD in private sector investment for 17 small-scale renewable energy projects (solar, hydro, bagasse) in only three years. Using financial modelling on detailed project-level data, we find that the majority of projects were additional and would therefore not have been built without the subsidy. In addition, using firm-level panel data, we show that power outages hamper manufacturing performance in Uganda. In the absence of reliable outage-data for the entire Ugandan territory, we use nightlight variations to proxy changes in outages. We show that outages have declined substantially since the introduction of GET FiT. Yet, our analysis also demonstrates that programmes to incentivise additional renewable generation in developing countries funded internationally or domestically should liaise closely with grid authorities to ensure that supply does not outstrip demand. ; European Union's Horizon 2020 INNOPATHS project (Grant agreement no. 730403) The Department of Land Economy and the School of Humanities and Social Sciences, University of Cambridge Heinrich Böll Foundation.

We implement a public goods game and a social intervention modeled after a public goods game in rural Sierra Leone near the Gola Forest Reserve. We also collect demographic, economic and forest conservation data on households in the area. We use this data to assess the mapping of social preferences from the artefactual field experiment (AFE) into real world behavior. We find evidence of heterogeneity in shifting factors between the AFE, the field experiment, and conservation outcomes. We also find evidence that social controls like war violence and witchcraft may explain some of this correlation.