Global warming has been an issue lately in many aspects because it has been in increasing trend since 1980s. This paper estimates the climate change effects on U.S. agriculture using the pooled cross-section farm profit model. The data are mainly based on the annual Agricultural Resource Management Survey (ARMS) from USDA for the time period between 2000 and 2009 in the 48 contiguous States. For climate measure, growing season drought indices (the Palmer Drought Severity Index (PDSI) and Crop Moisture Index (CMI)) are applied to the analysis and both indices have a negative relationship with temperature. The estimates indicate that one unit increase in PDSI (CMI) leads to 5.5% (13.9%), 4% (9%), and 5% (14%) increase in farm profits for all ...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Growing econometric and statistical evidence points to high temperature as the main driver of large ...
Approximate profit functions are estimatedusing time-series, cross-sectional, county level data for ...
Global warming has been an issue lately in many aspects because it has been in increasing trend sinc...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
This study relies on the Ricardian method to estimate the damages of climate change to US agricultur...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
This paper develops a “Ricardian” approach for measuring the economic impact of environmental factor...
We employ state panel data for the period 1961-2004 to identify the role of climate change on U.S. a...
Because of the potential for global warming, there are widespread concerns about the impact of chang...
The authors measure the economic impact of climate on land prices. Using cross-sectional data on cli...
Although climate change research is largely focused on models to predict how environmental condition...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Despite the existence of a large and growing literature on the potential impact of climatechange on ...
In this paper, a dynamic optimization model was developed to simulate how farm-level realized price ...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Growing econometric and statistical evidence points to high temperature as the main driver of large ...
Approximate profit functions are estimatedusing time-series, cross-sectional, county level data for ...
Global warming has been an issue lately in many aspects because it has been in increasing trend sinc...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
This study relies on the Ricardian method to estimate the damages of climate change to US agricultur...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
This paper develops a “Ricardian” approach for measuring the economic impact of environmental factor...
We employ state panel data for the period 1961-2004 to identify the role of climate change on U.S. a...
Because of the potential for global warming, there are widespread concerns about the impact of chang...
The authors measure the economic impact of climate on land prices. Using cross-sectional data on cli...
Although climate change research is largely focused on models to predict how environmental condition...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Despite the existence of a large and growing literature on the potential impact of climatechange on ...
In this paper, a dynamic optimization model was developed to simulate how farm-level realized price ...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Growing econometric and statistical evidence points to high temperature as the main driver of large ...
Approximate profit functions are estimatedusing time-series, cross-sectional, county level data for ...