The DOI matches its Crossref record.
Climate, Water, and Agriculture
Abstract
This study explores the interaction between climate, water, and agriculture. We test whether surface water withdrawal can help explain the variation of farm values across the United States and whether adding these variables to the standard Ricardian model changes the measured climate sensitivity of agriculture. The paper finds that the value of irrigated cropland is not sensitive to precipitation and increases in value with temperature. Finally, the paper finds that sprinkler systems are used primarily in wet cool sites, whereas gravity and especially drip systems help compensate for higher temperatures. These results indicate that irrigation can help agriculture adapt to global warming. (JEL Q2, Q15)
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Citations
Cited by
McDaniel, M. D., Tiemann, L. K., & Grandy, A. S. (2014) · Ecological Applications · doi:10.1890/13-0616.1 · Cited by 846
Effect of warming temperatures on US wheat yields
Tack, J., Barkley, A., & Nalley, L. L. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1415181112 · Cited by 472
The impact of climate change on China's agriculture
Wang, J., Mendelsohn, R., Dinar, A., Huang, J., Rozelle, S., & Zhang, L. (2009) · Agricultural Economics · doi:10.1111/j.1574-0862.2009.00379.x · Cited by 304
Self-citationNath, P. K., & Behera, B. (2011) · Environment, Development and Sustainability · doi:10.1007/s10668-010-9253-9 · Cited by 215
Climate variability impacts on agricultural output in East Africa
Mubenga-Tshitaka, J.-L., Dikgang, J., Muteba Mwamba, J. W., & Gelo, D. (2023) · Cogent Economics & Finance · doi:10.1080/23322039.2023.2181281 · Cited by 16
Metadata
- Authors
- Mendelsohn, R., & Dinar, A.
- Venue
- Land Economics
- Publisher
- University of Wisconsin Press
- Published
- 2003-08-01
- Volume
- 79
- Issue
- 3
- Pages
- 328-341
- ISSN
- 0023-7639 (ISSN-L)
- 1543-8325
- OpenAlex
- W1882750683
- Cited by
- 365
- References
- 0
- FWCI
- 4.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
