Using survey-based choice experiments, we find that willingness to pay (WTP) for cap-and-trade programs depends upon their distributional impacts, including changes in the numbers of carbon-intensive versus green jobs and whether there will be additional regulations to limit non-global co-pollutant emissions from firms that buy permits. We estimate a model suitable for out-of-sample forecasting of WTP in other regions nationally, where systematic heterogeneity is captured by predicted county-level climate-change attitudes from the Yale Climate Map project.
Several universities have implemented, and numerous others are considering, internal carbon fee or pricing programs intended to reduce greenhouse gas emissions, finance carbon reduction programs, signal sustainability and/or prepare for future mandatory carbon reductions. We employ survey-based choice experiments concerning potential internal carbon-pricing programs at a flagship public university.
Research to assess the social benefits of climate change mitigation programs