The rise of societal goals like climate change mitigation and energy security calls for rapid capacity growth in renewable electricity sources, yet citizens’ support is put to a test when such technologies emit negative local externalities. We estimate the impact of wind turbine deployment on granular measures of revealed preferences for renewable electricity in product and political markets. We address potentially endogenous siting of turbines with an IV design that exploits quasi-experimental variation in profitability induced by subsidies. We find that wind turbines significantly reduce citizens’ support locally, but this effect quickly fades with distance from the site. We assess policy instruments for enhancing citizens’ support for renewable energy in light of our results.

Not all barrels of oil are created equal: their extraction varies in both private cost and carbon intensity. Leveraging a comprehensive micro-dataset on world oil fields, alongside detailed estimates of carbon intensities and private extraction costs, this study quantifies the additional emissions and costs from having extracted the ’wrong’ deposits. We do so by comparing historical deposit-level supplies to counterfactuals that factor in pollution costs, while keeping annual global consumption unchanged. Between 1992 and 2018, carbon misallocation amounted to at least 11.00 gigatons of CO2-equivalent, incurring an environmental cost evaluated at $2.2 trillion (US$ 2018). This translates into a significant supply-side ecological debt for major producers of high-carbon oil. Looking forward, we estimate the gains from making deposit-level extraction socially optimal at about 9.30 gigatons of CO2-equivalent evaluated at $1.9 trillion along a future aggregate demand pathway coherent with the objective of net- zero emissions in 2050, and document unequal reserve stranding across oil nations.

We develop and implement a new method for identifying wasted subsidies and use it to provide systematic evidence of the misallocation of carbon offsets in the Clean Development Mechanism—the world's largest carbon offset program. Using newly constructed data on the locations and characteristics of over 1,000 wind farms in India, we estimate that at least 52 percent of approved carbon offsets were allocated to projects that would very likely have been built anyway. We estimate that the sale of these offsets to regulated polluters resulted in substantially higher global carbon dioxide emissions.