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A Metamodeling Approach to Evaluate Agricultural Policy Impact on Soil Degradation in Western Canada

Author

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  • P. G. Lakshminarayan
  • P W. Gassman
  • A. Bouzaher
  • R. C. Izaurralde

Abstract

A novel approach for integrating economic and environmental models is described in the context of evaluating soil degradation impacts of agricultural policy in western Canada. The key element of this approach is the development of metamodels, which are statistical summary functions of simulation data obtained from carefully designed experiments with physical process models. The metamodels are in turn used to predict the soil degradation impacts of farmers'land management responses to policy options. The metamodels provide flexibility to perform repeated policy scenarios without having to rerun the time-and resource-consuming physical process simulation models. The estimated wind and water erosion metamodels are very robust, with the majority possessing R-square values in the range of 0ï¾·80 to 0ï¾·97. The efficiency of the metamodels in facilitating the integration of a policy modeling system is described and applied to a scenario of increased crop residue management. Using regional aggregates of net farm income, total economic, surplus (consumer plus producer surplus) and total soil loss the economic and environmental tradeoff between the status quo and a no-till policy scenario is evaluated. The model-predicted economic welfare and environmental quality interaction suggests a clear win-win situation for society under this alternative policy scenario.
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Suggested Citation

  • P. G. Lakshminarayan & P W. Gassman & A. Bouzaher & R. C. Izaurralde, 1996. "A Metamodeling Approach to Evaluate Agricultural Policy Impact on Soil Degradation in Western Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 44(3), pages 277-294, November.
  • Handle: RePEc:bla:canjag:v:44:y:1996:i:3:p:277-294
    DOI: j.1744-7976.1996.tb00151.x
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    Cited by:

    1. Alston, Julian M. & Marra, Michele C. & Pardey, Philip G. & Wyatt, T.J., 2000. "Research returns redux: a meta-analysis of the returns to agricultural R&D," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-31.
    2. Kamel Louhichi & Guillermo Flichman & Jean Boisson, 2010. "Bio-economic modelling of soil erosion externalities and policy options: a Tunisian case study," Journal of Bioeconomics, Springer, vol. 12(2), pages 145-167, July.
    3. Hualin Xie & Yanwei Zhang & Zhilong Wu & Tiangui Lv, 2020. "A Bibliometric Analysis on Land Degradation: Current Status, Development, and Future Directions," Land, MDPI, vol. 9(1), pages 1-37, January.
    4. Suzi Kerr & Shuguang Liu & Alexander S. P. Pfaff & R. Flint Hughes, 2003. "Carbon Dynamics and Land-Use Choices: Building a Regional-Scale Multidisciplinary Model," Working Papers 03_06, Motu Economic and Public Policy Research.
    5. Goetz, Renan-Ulrich & Keusch, Alois, 2002. "The Optimal Intertemporal Management of the Soil and Phosphorus and the Equilibrium in Economic and Biophysical Models," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24783, European Association of Agricultural Economists.
    6. Goetz, Renan-Ulrich & Keusch, Alois, 2005. "Dynamic efficiency of soil erosion and phosphor reduction policies combining economic and biophysical models," Ecological Economics, Elsevier, vol. 52(2), pages 201-218, January.
    7. Michelle Wander & Todd Nissen, 2004. "Value of Soil Organic Carbon in Agricultural Lands," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 9(4), pages 417-431, October.
    8. Belcher, K. W. & Boehm, M. M. & Fulton, M. E., 2004. "Agroecosystem sustainability: a system simulation model approach," Agricultural Systems, Elsevier, vol. 79(2), pages 225-241, February.

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