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A heterogeneous-agent model with district-level constraints: an application to livestock development in Gansu, China AgEcon
Komarek, Adam M.; Waldron, Scott A.; Brown, Colin G..
This paper develops a heterogeneous-agent model to assess the impacts of removing lucerne growing subsidies, increasing livestock numbers and including district-level equilibrium conditions on optimal farm plans in the Qingyang district of Gansu Province, China. The model is a five-year dynamic linear program that solves across 96 farm households whilst incorporating district-level constraints. The approach used allows us to observe seasonal variations in incomes, infer the distribution of a policy shock among households and highlight trade patterns at the district level. The results suggest that without lucerne growing subsidies the total area of lucerne grown by all modelled households falls by 18%. Increasing livestock numbers by 25% reduces net...
Tipo: Conference Paper or Presentation Palavras-chave: Heterogeneous-agent model; District-level constraints; Livestock; China.; Farm Management.
Ano: 2011 URL: http://purl.umn.edu/100573
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Using alterative whole-farm modelling approaches to assess farm enterprise selection, risk and welfare AgEcon
Komarek, Adam M.; MacAulay, T. Gordon.
Using an expected mean-variance model the changes in farm enterprise levels and indirect utility were examined under conditions of risk aversion, budget constraints and gross margin variance. An extension of the comparative statics of the expected mean-variance model was adopted by introducing a budget constraint into the constrained optimisation problem. A 10-year expected mean-variance whole-farm model was solved for a farm in the wheat-sheep zone of Australia to provide an empirical example. Results were obtained using no planning horizon (the static model) and then with a five-year rolling planning horizon (the dynamic model). In addition, enterprise levels were constrained to match levels observed on the farm so as to compare incomes between the...
Tipo: Conference Paper or Presentation Palavras-chave: Whole-farm modelling; Enterprise selection; Risk.; Farm Management; Q12; C61.
Ano: 2011 URL: http://purl.umn.edu/100574
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