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Agricultural response analysis in a longer term framework

  • Farquharson, Robert J.
  • Cacho, Oscar J.
  • Turpin, J.E.

Issues of long term soil fertility decline and sustainability are becoming more important for cropping industries in Australia. Helping to manage the level of soil fertility in this context is an aim of economic response analysis. This paper reviews the theory and methods used by economists to derive the optimal level of an input to be used in a production process. In particular, response functions generated by a crop simulation model are used as a basis for the analysis. The use of such models is becoming widespread in the research and extension community. A variety of methods are presented, in increasing order of complexity, to account for the real world characteristics of the production environment in this context.

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Paper provided by Australian Agricultural and Resource Economics Society in its series 2000 Conference (44th), January 23-25, 2000, Sydney, Australia with number 123634.

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Date of creation: Jan 2000
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Handle: RePEc:ags:aare00:123634
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  1. Feinerman, Eli & Voet, Hillary, 1995. "Dynamic Optimisation of Nitrogen Fertilisation of Citrus and the Value of Information from Leaf Tissue Analysis," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 22(1), pages 103-18.
  2. Bardsley, Peter & Harris, Michael, 1987. "An Approach To The Econometric Estimation Of Attitudes To Risk In Agriculture," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(02), August.
  3. Bar-Shira, Z. & Just, R. E. & Zilberman, D., 1997. "Estimation of farmers' risk attitude: an econometric approach," Agricultural Economics, Blackwell, vol. 17(2-3), pages 211-222, December.
  4. Kennedy, John O.S., 1981. "Applications of Dynamic Programming to Agriculture, Forestry and Fisheries: Review and Prognosis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), December.
  5. Segarra, Eduardo & Ethridge, Don E. & Deussen, Curtis R. & Onken, Arthur B., 1989. "Nitrogen Carry-Over Impacts In Irrigated Cotton Production, Southern High Plains Of Texas," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(02), December.
  6. Kennedy, John O.S. & Whan, Ian F. & Jackson, R. & Dillon, John L., 1973. "Optimal Fertilizer Carryover And Crop Recycling Policies For A Tropical Grain Crop," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 17(02), August.
  7. Jomini, Patrick A. & Deuson, Robert R. & Lowenberg-DeBoer, J. & Bationo, Andre, 1991. "Modelling stochastic crop response to fertilisation when carry-over matters," Agricultural Economics, Blackwell, vol. 6(2), pages 97-113, December.
  8. Fraser, Rob W., 1998. "Seasonal variability and a farmer's supply response to protein premiums and discounts," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(1), March.
  9. McCarl, Bruce A., 1988. "Preference Among Risky Prospects Under Constant Risk Aversion," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(02), December.
  10. Weninger, Quinn & Just, Richard E., 1999. "Are Crop Yields Normally Distributed?," Staff General Research Papers Archive 5064, Iowa State University, Department of Economics.
  11. Satya N. Yadav, 1997. "Dynamic Optimization of Nitrogen Use When Groundwater Contamination Is Internalized at the Standard in the Long Run," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 931-945.
  12. Jomini, Patrick A. & Deuson, Robert R. & Lowenberg-DeBoer, J. & Bationo, Andre, 1991. "Modelling stochastic crop response to fertilisation when carry-over matters," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 6(2), December.
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