Damien Capelle, Divya Kirti, Nicola Pierri, and German Villegas Bauer
Using self-reported data on emissions for a global sample of 4,000 large, listed firms, we document large heterogeneity in environmental performance within the same industry and country. Laggards—firms with high emissions relative to the scale of their operations—are larger, operate older physical capital stocks, are less knowledge intensive and productive, and adopt worse management practices. To rationalize these findings, we build a novel general equilibrium heterogeneous-firm model in which firms choose capital vintages and R&D expenditure and hence emissions. The model matches the full empirical distribution of firm-level heterogeneity among other moments. Our counter-factual analysis shows that this heterogeneity matters for assessing the macroeconomic costs of mitigation policies, the channels through which policies act, and their distributional effects. We also quantify the gains from technology transfers to EMDEs.
Understanding the impact of climate mitigation policies is key to designing effective carbon pricing tools. We use institutional features of the EU Emissions Trading System (ETS) and high-frequency data on more than 2,000 publicly listed European firms over 2011-21 to study the impact of carbon policies on stock returns. After extracting the surprise component of regulatory actions, we show that events resulting in higher carbon prices lead to negative abnormal returns which increase with a firm's carbon intensity. This negative relationship is even stronger for firms in sectors which do not participate in the EU ETS suggesting that investors price in transition risk stemming from the shift towards a low-carbon economy. We conclude that policies which increase carbon prices are effective in raising the cost of capital for emission-intensive firms.
Stefan Mittnik, Willi Semmler, and Alexander Haider
Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback e?ects on the macroecon-omy. Research on disaster risks has also actively been pursued in the macroeconomic models of climate change. Our paper uses insights from the former work to study disaster risks in the macroeconomics of climate change and to spell out policy needs. Empirically the link between carbon dioxide emission and the frequency of climate re-lated disaster is investigated using cross-sectional and panel data. The modeling part then uses a multi-phase dynamic macro model to explore this causal nexus and the e?ects of rare large disasters resulting in capital losses and rising risk premia. Our proposed multi-phase dynamic model, incorporating climate-related disaster shocks and their aftermath as one phase, is suitable for studying mitigation and adaptation policies.