Climate Change and Future Analysis: Is Stationarity Dying?

By Bruce A. McCarl, Xavier Villavicencio, Ximing Wu. 2008

237 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/dcf45225256ebcffb06a4448558b7539797c6915

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Khorshed Alam
2. L. Hansen
3. G. Kahsay
4. Jeff Gow
5. Xiaoguang Chen
6. Shuai Chen
7. Jintao Xu
8. Stephanie D. Rosch

In General Agricultural and Biological Sciences

1. L. Hansen
2. G. Kahsay
3. Khorshed Alam
4. Jeff Gow
5. Stephanie D. Rosch
6. Thomas W. Hertel
7. Md. Abdur Rashid Sarker

Citations in the corpus

• Climate Change, Agriculture And Poverty (2010, background): “Recently, McCarl, Villavicencio, and Wu (2008) have used time series methods to examine the impact of climate variability on crop yields.”
• More than Mean Effects: Modeling the Effect of Climate on the Higher Order Moments of Crop Yields (2012, unknown): “Examples of this line of research include Adams et al., 2001, Chen et al., 2004; Isik and Devadoss, 2006; McCarl et al., 2008, Kim and Pang, 2009, Barnwal and Kotani, 2010, and Boubacar, 2010.”
• Impacts of climate change on agriculture: Evidence from China (2016, background): “…impacts of climate change on farmland value (Mendelsohn et al. 1994; Schlenker et al. 2006), and agricultural productivity (Lobell and Asner 2003; McCarl et al. 2008; Olesen and Bindi 2002; Ortiz-Bobea 2013; Schlenker and Roberts 2009) in the developed world, particularly in the United States…”
• The effect of climate change and adaptation policy on agricultural production in Eastern Africa (2016, result): “Except for machinery and irrigation parameters, which are only significant in specification (e), physical inputs are significant across all the specifications. The insignificant parameters for irrigation and machinery and the highly significant parameter for livestock are not surprising since 95% of”
• Exploring the relationship between climate change and rice yield in Bangladesh: An analysis of time series data (2012, background): “The variables with I(1) must first be differenced before estimation (Gujrati, 2004; McCarl et al., 2008).”
• Responsiveness of Crop Yield and Acreage to Prices and Climate (2016, unknown): “…and Greenstone (2007) and Kucharik and Serbin (2008) find that an increase in precipitation is beneficial for corn and soybean yields whereas McCarl, Villavicencio, and Wu (2008) suggest that increased precipitation can be harmful for wheat yield, beneficial for cotton yield but have no…”