Intervention(s)
Firms in the study are randomly assigned to either a treatment or control group.
- Treatment group: Firms receive a information based on data from the German Climate Service (GERICS) containing localized projections of future heavy rainfall in their administrative district. The report communicates the expected percentage increase in extreme rainfall days over the next 15 years, based on climate model simulations under a high-emissions scenario. For example, the information states: “Heavy rainfall events in your district could become [X]% more intense in the next 15 years.”
- Control group: Firms receive generic information about historical precipitation levels in Germany, without district-specific projections. For example: “In Germany, there has been an average of just under 800 mm of precipitation per year over the past 20 years. The occurrence of heavy rainfall events varies greatly from region to region.”
- Quasi-experimental element: The study also exploits variation in actual recent rainfall across districts. By linking firms’ investment decisions to real local extreme rainfall patterns over the past few years, we can examine whether observed changes in precipitation correlate with investment behavior, providing complementary evidence to the randomized information intervention.
The purpose of the intervention is to test whether providing firms with detailed, district-level climate forecasts—and comparing this to actual local weather patterns—affects their beliefs about local climate risks and their investment plans, including spending on buildings, equipment, software, and R&D. The intervention is delivered between survey waves of the ifo Business and Investment Surveys, which measure firms’ business expectations, uncertainty, and investment intentions.