Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

SWAP (Statewide Agricultural Production Model)

General Description

The Statewide Agricultural Production Model (SWAP) is a multi-region, multi-input and output programming optimization model of agricultural production and water use, which self-calibrates using the method of to a base input dataset using Positive Mathematical Programming (PMP). PMP simulates SWAP predicts the effects of policy changes on cropping patterns at the extensive and intensive margins by integrating observed data into model calibration. The model chooses the optimal amounts land, water, economics and/or policy scenarios, on cropping patterns with respect to baseline calibration conditions. The model chooses  amount of land, water, labor, and other input use subject to these constraints and definitions. Profit is revenue minus costs, where revenue is price x yield per acre times total acres.
in agricultural production such that net returns to land and management are maximized within resource constraints or economic parameters including production costs, crop yields and prices.  The model website is at: http://swap.ucdavis.edu

Model Domain

Agricultural economics of crops in California

Developer

Howitt, Medellin-Azuara, MacEwan, and Lund. Originally at the University of California at Davis (UC Davis)

Hardware computing requirementsNot specified

Runs in MS windows environment.

Code language

Generalized Algebraic Modeling System (GAMS)

Original application

Developed as an agricultural economic component of ancillary model to the CALVIN model of California water systems. supply system ( http://calvin.ucdavis.edu ), providing economic value of water in agriculture. 

Public/proprietary and cost

For research-related applications available through UC Davis Center for Watershed Sciences or UC Merced (public). Water Systems Management Group

Business application applications through ERA Economics (proprietary).

Physically or empirically based

Empirical calibrated to predetermined baseline agricultural land and water use conditions.

Mathematical methods used

Based on Positive Mathematical Programming (Howitt 1995, Howitt et al. 2012) calibrated to a base datasets on crop production input use, prices, costs and yields. Constant Elasticity of Substitution (CES) production functions are generated for every crop in every region.

Input data requirements

(brackets include example datasets)

  • Land Use
  • Crop prices (county ag commissioners)
  • Crop Yields (UCCE crop budgets)
  • Interest rates (UCCE crop budgets)
  • Land Use

    Input data requirements include (values in parentheses refer to source datasets, these can vary):

    • Land use (USDA-NASS County Agricultural Commissioner's Reports, and DWR).
    • Crop prices (USDA-NASS County Agricultural Commissioner's Reports)
    • Crop yields (USDA-NASS County Agricultural Commissioner's Reports)
    • Land rental costs (UCCE crop budgets)
    • Supply costs (UCCE crop budgets)
    • Labor costs (UCCE crop budgets)
    • Surface water costs (USBR/DWR/water districts)
    • Irrigation Applied irrigation water (DWR)
    • Available water (CVPM/DWR/USBR/water district)
    • Crop Pricy Price Supply Elasticities (Russo et al. 2008)

    Outputs

    Outputs Cropping patterns for 27 base regions (within 21 CVPM regions) in the Central Valley, and irrigated agriculture in selected coastal and inland areas (Medellin-Azuara et al. 2015) for 20 crop groups following DWR and CalSIMETAW classification.

    • Allocation of acreage per crop type. Input use: land, water, labor and other agricultural production supplies.
    • Economic value of production

    Pre-processing and post-processing tools

    None specified.

    Representation of uncertainty

    None specified.

    Prevalence

    Used in policy analysis by both academic and state agencies.

    Ease of use for public entities

    Requires knowledge of GAMS software and access to program through UC Daviscode through the University of California. Alternatively, ERA Economics provides paid access to model interface and modelling services for SWAP.

    Ease of obtaining information and availability of technical support

    Through UC Davis Selected modeling applications can be obtained through the University of California, Center for Watershed Sciences for research purposes. or the Water Systems Management group at UC Merced (Medellin-Azuara). 

    ERA Economics provides services to run scenarios. Freely available manuals or information on technical model runs is not currently available.

    Source code availability

    Not freely available.

    Status of model development

    Model Version 6.1 is available for collaborative research and other application through UC Davis Center for Watershed Sciences. Version RTS (decreasing returns to scale) is available through ERA economics.Economics. Model continues updating and development as new land, water, and economic information is available. 

    Challenges for integration

    Currently integrated with CALVIN, IMPLAN, C2VSim and CALSIM II models . Detailed inputs. Constrained crop groups may not map well to other models. New crop groups or updated crop valuation requires calibration for economics as well as land use. Model is data driven, can be run without recoding by changing input data. Model output scale may not match with other models.

    ...

    in various applications, but running simultaneously within other platforms can be a challenge due to the GAMS native platform. Nevertheless, models outputs such as cropping patterns and economic value can be easily cascaded into other models (e.g. REMI, IMPLAN). Model spatial scale is easily changeable, yet the native temporal scale is annual cropping decisions. Substantial changes with respect to the baseline input use conditions may require a model recalibration. 


    References

    Bureau of Reclamation. (2012). Coordinated Long-Term Operation of the Central Valley Project and State Water Project: Appendix 12 - Statewide Agricultural Production Model (SWAP) Documentation. Retrieved from https://www.usbr.gov/mp/nepa/nepa_project_details.php?Project_ID=21883.

    CH2M Hill (2012). Statewide Agricultural Production (SWAP) Model: Agricultural Economics Technical Appendix. California State Department of Water Resources.

    Howitt, R. (1995). A calibration method for agricultural economic production models. Journal of Agricultural Economics, 46(2), 147–159. https://doi.org/10.1111/j.1477-9552.1995.tb00762.x

    Howitt, R., Medellín-Azuara, J., & MacEwan, D. (2009). Estimating the Economic Impacts of Agricultural Yield Related Changes for California. California Climate Change Center.

    Howitt, R. E., Macewan, D., Medellín-Azuara, J., & Lund, J. R. (2010). Economic Modeling of Agriculture and Water in California using the Statewide Agricultural Production Model. California Water Plan Update 2009, 4, 1–25.

    Howitt, R. E., Medellín-Azuara, J., MacEwan, D., & Lund, J. R. (2012). Calibrating disaggregate economic models of agricultural production and water management. Environmental Modelling and Software, 38, 244–258.

    Medellín-Azuara J, MacEwan D, Howitt R, Kourakos G, Dogrul E, Brush C, Kadir T, Harter T, Melton F, Lund J (2015) Hydro-economic analysis of groundwater pumping for irrigated agriculture in California’s Central Valley, USA. Hydrogeology Journal 23: 1205-1216 DOI 10.1007/s10040-015-1283-9.

    Russo C., R. Green, and R. Howitt. (2008). Estimation of Supply and Demand Elasticities of California Commodities. Working Paper No. 08-001. Davis, California: Department of Agricultural and Resource Economics, University of California at Davis.