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  • 标题:ECONOMETRIC-PROCESS MODELS FOR INTEGRATED ASSESSMENT OF AGRICULTURAL PRODUCTION SYSTEMS
  • 本地全文:下载
  • 作者:Antle, John M. ; Capalbo, Susan Marie
  • 期刊名称:Journal of Agribusiness
  • 印刷版ISSN:0738-8950
  • 出版年度:2000
  • 期号:suppl
  • 出版社:Journal of Agribusiness
  • 摘要:This paper develops the conceptual and empirical basis for a class of empirical economic production models that can be linked to site-specific bio-physical models for use in integrated assessment research. Site-specific data are used to estimate econometric production models, and these data and models are then incorporated into a simulation model that represents the decision making process of the farmer as a sequence of discrete or continuous land use and input use decisions. This discrete/continuous structure of the econometric process model is able to simulate decision making both within and outside the range of observed data in a way that is consistent with economic theory and with site-specific bio-physical constraints and processes. An econometric-process model of the dryland grain production system of the Northern Plains demonstrates the capabilities of this type of model.
  • 关键词:bio-physical models;integrated assessment;production models;dryland grain production;econometric-process models
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