|
|
|
|
|
Cai, Yongxia; McCarl, Bruce A.. |
Panel models with random effects are used to estimate how climate influences in-stream surface water supply, municipal water demand, crop yields and irrigation water use. The results are added into TEXRIVERSIM, a state wide economic, hydrological, environmental and inter-basin water transfer (IBTs) investment model, through the objective function and hydrological constraints. A climate change related scenario analysis from the Global Circulation Models (GCMs)--Hadley, Canadian, BCCR and NCAR with SRES scenarios A1B, B1, and A2 indicates that inter-basin water transfers not only greatly relax water scarcity problems for major cities and industrial counties, but also create growth opportunity for Houston. However, while destination basins receive the... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Climate Change; Inter-basin Water Transfers; Water Scarcity; Environmental Stream Flows; Environmental Economics and Policy; Q25; Q54; Q58. |
Ano: 2009 |
URL: http://purl.umn.edu/49933 |
| |
|
|
Cai, Yongxia; Shaw, W. Douglass; Wu, Ximing. |
Self protection and altruism are crucial behavioral factors in determining the effectiveness of public policies aimed to improve human health from environmental hazards. This paper examined people’s arsenic mortality risk perception in the drinking water for themselves and their children using the Bayesian learning framework. A two-stage structural model within the random utility framework was developed to model the household’s risk averting behavior with respect to arsenic-related mortality risk. The empirical results indicate that parents engage in a form of mixed altruism. Parents are willing to spend more to make a trade-off between their risk and their children’s risk. |
Tipo: Conference Paper or Presentation |
Palavras-chave: Resource /Energy Economics and Policy; Risk and Uncertainty. |
Ano: 2008 |
URL: http://purl.umn.edu/6149 |
| |
|
|
Cai, Yongxia; Alviola, Pedro A., IV; Nayga, Rodolfo M., Jr.; Wu, Ximing. |
Using state-level data from the Behavioral Risk Factor Surveillance System, we investigate the effects of household food-away-from-home and food-at-home expenditures on overweight rates, obesity rates, and combined rates. Our random effects model estimates suggest that food-away-from-home expenditures are positively related to obesity and combined rates, while food-at-home expenditures are negatively related to obesity and combined rates. However, the magnitudes of these effects, while statistically significant, are relatively small. Both food-at-home and food-away-from-home expenditures do not significantly influence overweight rates. |
Tipo: Journal Article |
Palavras-chave: Food-at-home expenditures; Food-away-from-home expenditures; Obesity; Overweight; Random effects model; State-level analysis; Agribusiness; Food Consumption/Nutrition/Food Safety; I18. |
Ano: 2008 |
URL: http://purl.umn.edu/46990 |
| |
|
| |
|
|
|