听说了吗？环境政策与清洁投资

We build the first news-based index of US environmental and climate policy and examine how it relates to clean investments. Extracting text from ten leading US newspapers over the last four decades, we use text-mining techniques to develop a granular news index of US environmental and climate policy (EnvP) over the 1981–2019 period. Furthermore, we develop a set of additional measures, namely an index of sentiment on environmental policy, as well as various topic-specific indexes. We validate our index by showing that it correctly captures trends and peaks in the evolution of US environmental and climate policy and that it has a meaningful association with clean investments, in line with environmental regulations supporting growing opportunities for clean markets. In firm-level estimations, we find that our index is associated with a greater probability of receiving venture capital (VC) funding for cleantech startups and reduced stock returns for high-emissions firms most exposed to environmental regulations. At the aggregate level, we find in VAR models that a shock in our news-based index of renewable energy policy is associated with an increase in the number of clean energy VC deals and in the assets under management of a benchmark clean energy exchange-traded fund. • We build the EnvP index - the first news-based index of US environmental and climate policy, available on a monthly basis over the 1981–2019 period. • Our method applies text-mining machine learning techniques to articles from ten leading US newspapers. • We also develop an index of sentiment and 25 topic-specific indexes of environmental and climate policy. • The EnvP index has a meaningful association with investments in clean markets.