The carbon mitigation literature has separately considered using forests to store carbon and as a source of bioenergy. In this paper, we look at both options to reach a 2°C mitigation target. This paper combines the global forest model, GTM, with the IAM WITCH model to study the optimal use of...

This research investigates the potential impact of warming on Italian agriculture. Using a detailed dataset of 16,000 farms across Italy, the study examines likely warming impacts in different regions and for different sectors of Italian agriculture. The study finds that farm net revenues are...

It is well known that the forestry sector is sensitive to climate change but most studies have examined impacts only through 2100 and warming of less than 4°C. This is the first timber analysis to consider possible climate change impacts out to 2250 and warming up to 11°C above 1900 levels....

Estimated Ricardian models have been criticized because they rely on mean temperatures and do not explicitly include extreme temperatures. This paper uses a cross sectional approach to compare a standard quadratic Ricardian model of mean temperature with a fully flexible daily temperature bin...

Many nonmarket valuation models, such as the Ricardian model, have been estimated using cross sectional methods with a single year of data. Although multiple years of data should increase the robustness of such methods, repeated cross sections suggest the results are not stable. We argue that...

This research estimates the impact of climate on European agriculture using a continental scale Ricardian analysis. Data on climate, soil, geography and regional socio-economic characteristics were matched for 37 612 individual farms across the EU-15. Farmland values across Europe are sensitive...

As policy makers consider stringent targets for greenhouse gas emissions, integrated assessment models are increasingly relying on biomass energy as a critical energy source. However, it is not clear how much woody biomass to expect across time and across the planet. The integrated assessment...

Farmland values have traditionally been valued using seasonal temperature and precipitation. A new strand of the literature uses degree days over the growing season to predict farmland value. We find that degree days and daily temperature are interchangeable over the growing season. However, the...