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INCORPORATING THE 1990 FARM BILL INTO FARM-LEVEL DECISION MODELS: AN APPLICATION TO COTTON FARMS AgEcon
Duffy, Patricia A.; Cain, Danny L.; Young, George J..
A five-year, 0.1, mixed integer programming model was developed to analyze the effects of 1990 Farm Bill legislation on the crop-mix decisions made on cotton farms. Results showed that, when compared to the 1985 Farm Bill, the 1990 Farm Bill can result in higher whole-farm income despite new "triple base" provisions limiting payment acres. The increase in income results from elimination of limited cross-compliance provisions and the change to a three-year base calculation. The model was also used to assess the likely impact of possible changes in the current legislation.
Tipo: Journal Article Palavras-chave: Cotton farms; Farm programs; Programming models; Agricultural and Food Policy; Crop Production/Industries.
Ano: 1993 URL: http://purl.umn.edu/15041
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Impact of Alternative Implementations of the Agenda 2000 Mid Term Review AgEcon
Buysse, Jeroen; Van Huylenbroeck, Guido.
An agricultural sector model for ex ante policy analysis is developed and applied for the simulation of alternative implementations of the Agenda 2000 Mid Term Review (MTR). The model uses an adapted version of Positive Mathematical Programming allowing simultaneous modelling of individual farms. It applies farm level calibrated quadratic cost functions to a sample of the Farm Accountancy Data Network to account for the large variability among farms. The farm level approach is important for the evaluation of the MTR, because MTR policy instruments rely on differences between farms. Extending the model for coping with the MTR implies three important elements: i) modelling the activation of decoupled direct payment entitlements, ii) simulating the modulation...
Tipo: Conference Paper or Presentation Palavras-chave: Positive analysis of policy-making and implementation; Programming models; Computational techniques; Firm behaviour; Agricultural and Food Policy.
Ano: 2005 URL: http://purl.umn.edu/24589
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