Showing 1 - 10 of 83
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...
Persistent link: https://www.econbiz.de/10011105369
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...
Persistent link: https://www.econbiz.de/10011307249
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...
Persistent link: https://www.econbiz.de/10011268602
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...
Persistent link: https://www.econbiz.de/10010480831
This paper examines the likely impact on agriculture of the climate change which has already taken place between 1960 and 2000. Accumulating greenhouse gases have caused global temperatures to rise approximately 0.25 °C during this period and for precipitation patterns to shift. Using...
Persistent link: https://www.econbiz.de/10014024064
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...
Persistent link: https://www.econbiz.de/10009189884
This research estimates the impact of climate on European agriculture using a continental scale Ricardian analysis. Climate, soil, geography and regional socio-economic variables are matched with farm level data from 37,612 farms across Western Europe. We demonstrate that a median quantile...
Persistent link: https://www.econbiz.de/10010877673
This paper examines how farmers have adapted to the current range of climates across China. A cross sectional method is used to analyze irrigation choice and crop choice across 8,405 farmers in 28 provinces in China. We find that both irrigation and crop choice decisions are climate sensitive....
Persistent link: https://www.econbiz.de/10010880086
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...
Persistent link: https://www.econbiz.de/10010781885
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...
Persistent link: https://www.econbiz.de/10011492377