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Farm Entry Policy and Its Impact on Structural Change Analysed by and Agent-based Sector Model AgEcon
Mack, Gabriele; Mohring, Anke; Zimmermann, Albert; Gennaio, Maria-Pia; Mann, Stefan; Ferjani, Ali.
The Swiss agent-based model (SWISSland) claims to depict as realistically as possible the 50 000 family farms comprising the whole of Swiss agriculture in all their heterogeneity as regards farm and cost structures as well as farm decision-making behaviour and interactions, with the aim of improving the simulation and forecasting of structural change in agriculture. With the linking of different methods and recorded data, there is a marked increase in the quality of the assessment of policy consequences. Simulations are shown for policy measures which affect only farm entry by cutting socially motivated direct payments for young operators.
Tipo: Conference Paper or Presentation Palavras-chave: Agent-based model; Sector model; Farm entry; Structural change; Farm Management.
Ano: 2011 URL: http://purl.umn.edu/114374
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Understanding U.S. Farm Exits AgEcon
Hoppe, Robert A.; Korb, Penelope J..
The rate at which U.S. farms go out of business, or exit farming, is about 9 or 10 percent per year, comparable to exit rates for nonfarm small businesses in the United States. U.S. farms have not disappeared because the rate of entry into farming is nearly as high as the exit rate. The relatively stable farm count since the 1970s reflects exits and entries essentially in balance. The probability of exit is higher for recent entrants than for older, more established farms. Farms operated by Blacks are more likely to exit than those operated by Whites, but the gap between Black and White exit probabilities has declined substantially since the 1980s. Exit probabilities differ by specialization, with beef farms less likely to exit than cash grain or hog farms.
Tipo: Report Palavras-chave: 1997 Census of Agriculture Longitudinal File; Farm exit; Farm entry; Farm structure; Farm operator characteristics; Farm operator life cycle; Agricultural Finance.
Ano: 2006 URL: http://purl.umn.edu/7212
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