Simple Approaches to Examine Economic Impacts of Water Reallocations from Agriculture. (11th January 2020)

• Record Type: Journal Article
• Authors: Bickel, Ashley K.; Duval, Dari; Frisvold, George B.
• Is Part Of: Journal of contemporary water research and education. Volume 168:Number 1(2019)
• Page Start: 29
• Page End: 48
• Publication Date: 2020-01-11
• Subjects: Pinal County -- Arizona -- Colorado River -- shortage -- agricultural water use; Water resources development -- United States -- Periodicals; Water supply -- United States -- Periodicals; Periodicals; 553.7
• DOI: 10.1111/j.1936-704X.2019.03319.x
• Languages: English
• ISSNs: 1936-7031

Abstract

Abstract: Facing an anticipated shortage declaration on the Colorado River and reductions in surface water for agricultural use, rural stakeholder groups are concerned about how water cutbacks will affect their local economies. Local farm groups and county governments often lack the analytical tools to measure such impacts. While one can learn much from large‐scale hydro‐economic models, data, cost, and time limitations have been barriers to such model development. This article introduces three basic modeling approaches, using relatively low‐cost and accessible data, to examine local economic impacts of water reallocations from agriculture. An empirical application estimates the effect of agricultural water reductions to Pinal County, Arizona, the county that would be most affected by a Colorado River Shortage Declaration. Water cutbacks to agriculture are modeled using two variants of a "rationing" model, which assumes that farmers will fallow their acres that generate the lowest gross returns (Rationing Model I) or the lowest net returns (Rationing Model II) per acre‐foot of water. Rationing models have modest data requirements given that crop and region specific data are available. Building off these simpler rationing models, an input‐output (I‐O) model provides more detailed information about the impacts on different rural stakeholder groups as well as the impacts to non‐agricultural sectors and the local tax base. Given imminent water cutbacks, access to low‐cost data and information that are easy to interpret is essential for effective community dialogue.