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Formulation and Spatial Aggregation of Agricultural Production Relationships within the Land Use Change (LUC) Model

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Abstract

Land Use Change (LUC) Project at IIASA in which the Centre for World Food Studies participates, is currently engaged in the development of a case study for China (Fischer et al., 1996). Its focus on land use and land cover change makes it necessary to ensure that geographic detail and statistical information on conditions prevailing within these regions be preserved to the extent possible. This raises two issues that are addressed in this paper. First, while it is not practical to formulate a regional optimization model with a very large number of sub-regions, over two thousand in the case of China, one would like to avoid the loss of information associated with aggregation. For a generalized version of the Mitscherlich-Baule yield function that is commonly used in agronomy the paper describes a consistent aggregation procedure over sub-regions, which leads to simple aggregate functions at regional level, but has the special property that, once the regional model has been solved, all results can be recovered fully at sub-regional level. Secondly, agronomy studies commonly use yield functions in which the per hectare yield of a particular crop depends on inputs per hectare. Unfortunately, in the case of China, as for most countries, input use is not available by crop and only recorded for a particular geographical unit. The paper proposes a more crude formulation whose parameters, however, can be estimated by cross-section on the basis of available data.

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  • M.A. Keyzer, 1998. "Formulation and Spatial Aggregation of Agricultural Production Relationships within the Land Use Change (LUC) Model," Working Papers ir98092, International Institute for Applied Systems Analysis.
    • Handle: RePEc:wop:iasawp:ir98092
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    File URL: http://www.iiasa.ac.at/Publications/Documents/IR-98-092.pdf
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    File URL: http://www.iiasa.ac.at/Publications/Documents/IR-98-092.ps
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    1. Llewelyn, Richard V. & Featherstone, Allen M., 1997. "A comparison of crop production functions using simulated data for irrigated corn in western Kansas," Agricultural Systems, Elsevier, vol. 54(4), pages 521-538, August.
    2. Michael D. Frank & Bruce R. Beattie & Mary E. Embleton, 1990. "A Comparison of Alternative Crop Response Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 597-603.
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    1. Sarkar, Sampriti & Lupi, Frank, 2022. "Modelling mid-western corn yield response to phosphorus fertilizer in Michigan," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322478, Agricultural and Applied Economics Association.
    2. Rozelle, Scott & Deng, Xiangzheng & Huang, Jikun & Uchida, Emi, 2005. "Expansion of China's Cities and Agricultural Production," 2005 Annual meeting, July 24-27, Providence, RI 19323, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Sauer, Johannes & Tchale, Hardwick, 2006. "Alternative Soil Fertility Management Options in Malawi - An Economic Analysis," 2006 Annual meeting, July 23-26, Long Beach, CA 21423, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Tchale, Hardwick & Sauer, Johannes, 2006. "Soil Fertility Management And Agricultural Productivity In Malawi," 46th Annual Conference, Giessen, Germany, October 4-6, 2006 14954, German Association of Agricultural Economists (GEWISOLA).

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