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Economic Modeling of Farm Production and Conservation Decisions in Response to Alternative Resource and Environmental Policies

Published online by Cambridge University Press:  10 May 2017

John R. Ellis ,
David W. Hughes  and
Walter R. Butcher
John R. Ellis
Affiliation:
Department of Agricultural Economics, Washington State University, Pullman, WA
David W. Hughes
Affiliation:
Department of Agricultural Economics, Washington State University, Pullman, WA
Walter R. Butcher
Affiliation:
Department of Agricultural Economics, Washington State University, Pullman, WA
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Extract

Growing concern over resource use and protection of the environment has prompted greater demand for agricultural policy analysis at the local, regional, and national levels. Faced with declining surface-water quality, silting of reservoirs, and contaminated groundwater supplies, the public has demanded greater protection of the environment. With the call for more regulation of agriculture comes the need for policy analysis. What policy is best? Should a national standard apply, or do local conditions warrant local standards? Who will benefit, and who will lose, and by how much?

Type
The Effects of Agricultural Production on Environmental Quality
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 20 , Issue 1 , April 1991 , pp. 98 - 108
Copyright
Copyright © 1991 Northeastern Agricultural and Resource Economics Association 

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References

Agrawal, R. C., and Heady, E. O. Operations Research Methods for Agricultural Decisions. Ames: Iowa State Univ. Press, 1972.Google Scholar
Anderson, F., and Stryg, P. E. “Interregional Recursive Linear Programming Model Used in Forecasting Danish Agricultural Development up to 1985.” European Review of Agricultural Economics 3 (1973):7–21.Google Scholar
Anderson, J. R., Dillon, J. L., and Hardaker, J. B. Agricultural Decision Analysis. Ames: Iowa State Univ. Press, 1977.Google Scholar
Arnold, J. G., Williams, J. R., Nicks, A. D., and Sammons, N. B. SWRRB, A Basin Scale Simulation Model for Soil and Water Resources Management. Texas A&M Univ. Press, 1990.Google Scholar
Atwood, J. D., Lakshminarayan, P. G., and Sposito, V. A. “Multiple Goal Programming Applications in Natural Resource Policy Analysis.” Paper presented at the 30th International Conference of the Atlantic Economic Society, Williamsburg, VA, 11–14 October 1990.Google Scholar
Baker, T., and McCarl, B. A. “Representing Farm Resource Availability Over Time in Linear Programs: A Case Study.” North Central Journal of Agricultural Economics 4 (1982):59–68.Google Scholar
Baum, K. H. “Some Thoughts on Adaptive Economic Policy and the Behavioral Science of Modeling the Farm-Firm/Household.” In Modeling Farm Decisions for Policy Analysis, edited by Baum, K. and Schertz, L. P., 50–55. Boulder, CO: Westview Press, 1983.Google Scholar
Braden, J. B., Johnson, G. B., Bouzaher, A., and Miltz, D. “Optimal Spatial Management of Agricultural Pollution.” American Journal of Agricultural Economics 71 (1989):404–13.Google Scholar
Brink, L., and McCarl, B. “The Tradeoff between Expected Return and Risk Among Corn Belt Farmers.” American Journal of Agricultural Economics 60 (1978):259–63.Google Scholar
Bryant, K., and Lacewell, R. “Crop Simulation and Economic Analysis.” In Proceedings of the 1989 Summer Computer Simulation Conference, 732–37. Austin, TX, 24–27 July 1989.Google Scholar
Burton, R. O., and Martin, M. A. “Restrictions on Herbicide Use: An Analysis of the Economics Impacts on U.S. Agriculture.” North Central Journal of Agricultural Economics 9 (1987):181–94.Google Scholar
Candler, W., Fortuny-Amat, J., and McCarl, B. “The Potential Role of Multilevel Programming in Agricultural Economics,” American Journal of Agricultural Economics 63 (1981):521–31.Google Scholar
CARD and U.S.E.P.A. “CEEPES Atrazine Project, Research Memo 2.” August 1990.Google Scholar
Carlson, J., and Dillman, D. “Influences of Kinship Arrangements on Farmer Innovations.” Rural Sociology 48 (1983):183–200.Google Scholar
Cohon, J. L., and Marks, D. H. “A Review and Evaluation of Multiobjective Programming Techniques.” Water Resources Research 11 (1975):208–20.Google Scholar
Cole, G. V., and English, B. C. “The Micro Oriented Agricultural Production System (MOAPS): A Documentation.” Research Report 90–03. Dept, of Agricultural Economics and Rural Sociology, Univ. of Tennessee, Knoxville, 1990.Google Scholar
Cole, G. V., English, B. C., Alexander, R. R., and Thompson, L. C. “The Banning of Corn Rootworm Insecticides on Iowa Corn Grain Farms: A Case Study.” Report prepared for the Environmental Protection Agency. Dept, of Agricultural Economics and Rural Sociology, University of Tennessee, Knoxville, 1988.Google Scholar
Dantzig, G. B., and Wolfe, P. “The Decomposition Algorithm for Linear Programming.” Econometrica 29 (1961):767–78.Google Scholar
Day, R. H. “Farm Decisions, Adaptive Economics, and Complex Behavior in Agriculture.” In Modeling Farm Decisions for Policy Analysis, edited by Baum, K. and Schertz, L. P., 18–49. Boulder, CO: Westview Press, 1983.Google Scholar
Day, R. H., and Singh, I. Economic Development as an Adaptive Process: The Green Revolution in the Indian Punjab. Cambridge: Cambridge Univ. Press, 1977.Google Scholar
Dobbins, C. L., and Mapp, H. P. “A Recursive Goal Programming Model of Intergenerational Transfers by Farm Firms.” In Modeling Farm Decisions for Policy Analysis, edited by Baum, K. J. and Schertz, L. P., 310–31. Boulder, CO: Westview Press, 1983.Google Scholar
Duloy, J. H., and Norton, R. D. “CHAC: A Programming Model of Mexican Agriculture.” In Multi-Level Planning: Case Studies in Mexico, edited by Goreaux, L. and Manne, A., 291–337. Amsterdam: North-Holland Publ. Co., 1973.Google Scholar
Edmund, A., Rogers, L., and Hoag, D. “Crop Planners User Guide.” Microcomputer Farm Management Series. Dept, of Economics and Business, Agricultural Extension Service, North Carolina State University, 1988.Google Scholar
Ellis, J. R. “Risk Efficient Cropping Strategies and Farm Survival: Texas Trans-Pecos.” Ph.D. diss., Texas A&M University., College Station, TX, 1987.Google Scholar
Ellis, J. R., Lacewell, R. D., and Reneau, D.R. “Estimated Economic Impact from Adoption of Water-Related Agricultural Technology.” Western Journal of Agricultural Economics 10 (1985):307–21.Google Scholar
English, B., Alt, C. Klaus, and Heady, E. O. A Documentation of the Rural Conservation Act's Assessment Model of Regional Agricultural Production, Land and Water Use, and Soil Loss. CARD Report 107 T. Ames: Center for Agricultural and Rural Development, Iowa State Univ., 1982.Google Scholar
Glaser, L. “Provisions of the Food Security Act of 1985.” Ag. Info. Bull. no. 498. U.S. Dept, of Agriculture, Economic Research Service, 1986.Google Scholar
Hall, H. H., Heady, E. O., Stoecker, A., and Sposito, V. A. “Spatial Equilibrium in U.S. Agriculture: A Quadratic Programming Analysis.” SIAM Review 17 (1975):323–38.Google Scholar
Hamilton, S. A., McCarl, B. A., and Adams, R. M. “Improving Performance of Programming-Based Environmental Analyses of Agriculture.” American Journal of Agricultural Economics 67 (1985):407–13.Google Scholar
Harrington, W., Krupnick, A. J., and Peskin, H. M. “Policies for Nonpoint-Source Water Pollution Control.” Journal of Soil and Water Conservation 40 (1985):27–32.Google Scholar
Hauser, W.R. “The USLE in Court.” Journal of Soil and Water Conservation 39 (1984):84.Google Scholar
Hazell, P. B., and Norton, R. D. Mathematical Programming for Economic Analysis in Agriculture. New York: MacMillan Publ. Co., 1986.Google Scholar
Heady, E. O., and Srivistava, U. K. Spatial Sector Programming Models in Agriculture. Ames: Iowa State Univ. Press, 1975.Google Scholar
Hoag, D. “Budget Planner User's Guide.” Microcomputer Farm Management Series. Agricultural Extension Service, North Carolina State Univ., 1987.Google Scholar
Huang, W., English, B., and Quinby, W. “An RCA Hybrid Model and Interpretation of Its Base Solution.” Unpublished CARD Staff Report, 1985.Google Scholar
Johansson, V. “Economic Evaluation of a System for Whole Crop Harvesting.” In Planning and Decision in Agribusiness: Principles and Experience, edited by Hanf, C.H. and Schiefer, G., 309–18. Elsevier Scientific Publ. Co.Google Scholar
Joyce, L. A., and Kickert, R. N. “Applied Plant Growth Models for Grazinglands, Forests, and Crops.” In Plant Growth Modeling for Resource Management, edited by Wisiol, K. and Heskith, J. D., 17–55. Boca Raton, FL: CRC Press, 1987.Google Scholar
Judge, G. G., and Takayama, T. Studies in Economic Planning Over Space and Time. Amsterdam: North-Holland Publ. Co., 1973.Google Scholar
Knisel, W. G., ed. CREAMS: A Field Scale Model for Chemical Runoff and Erosion from Agricultural Management Systems. USDA Conservation Research Report no. 26. 1980.Google Scholar
Lambert, D. K., and McCarl, B. A. “Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function.” American Journal of Agricultural Economics 67 (1985):846–52.Google Scholar
Langley, J. A., Heady, E. O., and Olsen, K. D. “The Macro Implications of a Complete Transformation of U.S. Agricultural Production to Organic Farming Practices.” Agriculture, Ecosystems and Environment 10 (1983):323–33.Google Scholar
Lee, J. E. “A Perspective on the Evolution and Status of Micromodeling in Agricultural Economics.” In Modeling Farm Decisions for Policy Analysis, edited by Baum, K. and Schertz, L. P., 1–9. Boulder, CO: Westview Press, 1983.Google Scholar
Lee, J. G., Ellis, J. R., and Lacewell, R. D. “Crop Selection and Implications for Profits and Wind Erosion in a Semi-Arid Environment.” Agr. Econ. 2 (1988):319–34.Google Scholar
Lee, J. G., Lovejoy, S. B., and Beasley, D. B. “Soil Loss Reduction in Finley Creek, Indiana: An Economic Analysis of Alternative Policies.” Journal of Soil and Water Conservation 40 (1985):132–35.Google Scholar
Leonard, R. A., Knisel, W. G., and Still, D. A. “GLEAMS: Groundwater Loading Effects of Agricultural Management Systems.” Trans. ASAE 30 (1987):1402–18.Google Scholar
Lin, W., Dean, G. W., and Moore, C. V. “An Empirical Test of Utility vs. Profit Maximization in Agricultural Production.” American Journal of Agricultural Economics 56 (1974):497–508.Google Scholar
Lovejoy, S. B. “Deputize the Environmentalists.” Choices 33(3rd Quarter 1990).Google Scholar
Mapp, H. P., and Dobbins, C. L. “Implications of Rising Energy Costs for Irrigated Farms in the Oklahoma Panhandle.” American Journal of Agricultural Economics 58 (1976):971–77.Google Scholar
McCarl, B. A. “Cropping Activities in Agricultural Sector Models: A Methodological Proposal.” American Journal of Agricultural Economics 64 (1982):768–72.Google Scholar
McCarl, B. A., and Spreen, T. H. “Price Endogenous Mathematical Programming as a Tool for Sector Analysis.” American Journal of Agricultural Economics 62 (1980):87–102.Google Scholar
Meister, A. D., Chen, C. C., and Heady, E. O. Quadratic Programming Models Applied to Agricultural Policies. Ames: Iowa State Univ. Press, 1978.Google Scholar
Montgomery, W. C. “Markets in Licenses and Efficient Pollution Control Programs.” Journal of Economic Theory 5 (1972):395–418.Google Scholar
Musser, W., and Tew, B. “Use of Biophysical Simulation in Production Economics.” Southern Journal of Agricultural Economics 16 (1984):77–86.Google Scholar
Neely, W. P., North, R. M., and Fortson, J. C. “An Operational Approach to Multiple Objective Decision Making for Public Water Resource Projects Using Integer Goal Programming.” American Journal of Agricultural Economics 59 (1977):198–203.Google Scholar
Önal, H., and McCarl, B. A. “Aggregation of Heterogenous Firms in Mathematical Programming Models.” European Review of Agricultural Economics 16 (1989):499–513.Google Scholar
Prato, T., and Shi, H. “A Comparison of Erosion and Water Pollution Control Strategies for an Agricultural Watershed.” Water Resources Research 26 (1990):199–205.Google Scholar
Putman, J., Williams, J., and Sawyer, D. “Using the Erosion-Productivity Impact Calculator (EPIC) Model to Estimate the Impact of Soil Erosion for the 1985 RCA Appraisal.” Journal of Soil and Water Conservation 43 (1988):321–26.Google Scholar
Richardson, J. W., and Nixon, C. Description of FLIPSIM, A General Firm Level Policy Simulation Model. Agricultural and Food Policy Center, Dept, of Agricultural Economics, Texas A&M University, College Station, TX, 1986.Google Scholar
Richardson, J. W., Zimmel, P., Gerloff, D., Cochran, M. J., and Goh, S. “CARMS: Computer-Assisted Record Management System for Expert Simulation Systems.” AI Applications in National Resource Management 4 (1990):85–93.Google Scholar
Robertson, T., Benson, V. W., Williams, J. R., Kiniry, J. R., and Jones, C. A. “Impacts of Climate Change on Yields and Erosion for Selected Crops in the Southern United States.” Paper presented at the Symposium on Climate Change in the Southern United States: Future Impacts and Present Policy Issues, New Orleans, LA, May 1987.Google Scholar
Rola, A. C., Chavas, J. P., and Harkin, D. A. “Farm Level Impact of Pesticide Regulations: The Case of Aldicarb in Wisconsin.” Journal of Production Agriculture 1 (1988):79–83.Google Scholar
Romero, C., Amador, F., and Barco, A. “Multiple Objectives in Agricultural Planning: A Compromise Programming Application.” American Journal of Agricultural Economics 69 (1987):78–86.Google Scholar
Schaller, W. “A National Model of Agricultural Production Response.” Agricultural Economic Research 20 (1968):33–46.Google Scholar
Schrage, L. Linear, Integer, and Quadratic Programming with LINDO. Palo Alto, CA: Scientific Press, 1984.Google Scholar
Seitz, H. “A Discussion.” In Soil Conservation Policies, Institutions, and Incentives, 315–20. Ankeny, IA: Soil Conservation Society of America, 1982.Google Scholar
Setia, P. “Consideration of Risk in Soil Conservation Analysis.” Journal of Soil and Water Conservation 42 (1987):435–77.Google Scholar
Setia, P., and Magleby, R. “An Economic Analysis of Agricultural Nonpoint Pollution Control Alternatives.” Journal of Soil and Water Conservation 42 (1987):427–31.Google Scholar
Singer, M. P., Arnold, F. D., Cole, R. H., Arnold, J. G., and Williams, J. R. “Use of SWRRB Computer Model for the National Coastal Pollutant Discharge Inventory.” In Proceedings of the AWRA Symposium on Coastal Water Resources, 119–32. 1988Google Scholar
Singh, U., Godwin, D. C., Humphries, C. G., and Ritchie, J. T. “A Computer Simulation Model to Predict the Growth and Development of Cereals.” In Proceedings of the 1989 Summer Computer Simulation Conference, 668–75. Society for Computer Simulation, Austin, TX, 24–27 July 1989.Google Scholar
Takayama, T., and Judge, G. Spatial and Temporal Price and Allocation Models. Amsterdam: North-Holland Publ. Co., 1971.Google Scholar
Taylor, C. R., and Swanson, E. R. The Economic Impact of Selected Nitrogen Restrictions on Agriculture in Illinois and 20 Other Regions of the United States. AERR 133. Illinois Agricultural Experiment Station, March 1975.Google Scholar
Taylor, C. R., and Frohberg, K. K. “The Welfare Effects of Erosion Controls, Banning Pesticides, and Limiting Fertilizer Application in the Corn Belt.” American Journal of Agricultural Economics 59 (1977):25–36.Google Scholar
Thampapillai, D. J., and Sinden, J. A. “Trade-Offs for Multiple Objective Planning Through Linear Programming.” Water Resource Research 15 (1979):1028–34.Google Scholar
Thompson, L., Goodman, R., English, B., Alexander, R., and Colel, G. “An Evaluation of the Effects of Conservation Compliance on Selected Financial Characteristics of Two Representative West Tennessee Farms.” Research Report 89–22. University of Tennessee, 1989.Google Scholar
Thompson, P. B. “The Social Goals of Agriculture.” Agriculture and Human Value 3 (1986):32–42.Google Scholar
Troub, R. M. “Kenneth Boulding: Economics from a Different Perspective.” Journal of Economic Issues 12 (1978):501–28.Google Scholar
Williams, J. R., Jones, C. A., and Dyke, P. T. “The EPIC Model and Its Application.” In Proceedings of ICRISAT-IBSNAT-SMSS Symposium on Minimum Data Sets for Agrotechnology Transfer, 111–21. Hyderabad, India, 21–26 March 1983.Google Scholar
Willis, C. E., and Perlack, R. D. “A Comparison of Generating Techniques and Goal Programming for Public Investment, Multiple Objective Decision Making.” American Journal of Agricultural Economics 62 (1980):67–74.Google Scholar
Young, D. “An Evaluation of the USDA's 50-Year RCA Agricultural Projections for the Mountain and Pacific Regions.” Selected paper presented at the Annual Meetings of the Western Agricultural Economics Association, Honolulu, HI, 10–12 July 1988.Google Scholar
Young, R. A., Onstad, C. A., Bosch, D. D., and Anderson, W. P. “AGNPS: A Nonpoint-Source Pollution Model for Evaluating Agricultural Watersheds.” Journal of Soil and Water Conservation 44 (1989):168–73.Google Scholar
Zeleny, M. “Compromise Program.” In Multiple Criteria Decisionmaking, edited by Cochrane, J.L. and Zeleny, M. Columbia, SC: University of South Carolina, 1973.Google Scholar