Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 5
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
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
Imagem não selecionada

Imprime registro no formato completo
Modelling structural change in the agricultural sector – An Agent-based approach using FADN data from individual farms AgEcon
Mohring, Anke; Zimmermann, Albert; Mack, Gabriele; Mann, Stefan; Ferjani, Ali; Gennaio, Maria-Pia.
The development of multi-agent models for agriculture has allowed the inclusion of farm decision-making behaviour and interactions in the simulation of smaller agricultural regions. Important methodological impact for this has come in particular from scientists from Germany. Currently under construction, the SWISSland model 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 behaviours, with the aim of improving the simulation and forecasting of structural change. This paper describes methodological aspects in the formation of the agent population by combining various data sources such as accounting and spatial...
Tipo: Conference Paper or Presentation Palavras-chave: Structural change; Swiss agriculture; Multi-agent model; Agent definition; Linear optimization; Agricultural and Food Policy; Farm Management; Land Economics/Use.
Ano: 2010 URL: http://purl.umn.edu/61094
Imagem não selecionada

Imprime registro no formato completo
Construction and Application of an LP Farm Model with an Integrated Life Cycle Assessment for the Determination of Sustainable Milk Production Systems AgEcon
Mohring, Anke; Zimmermann, Albert.
The increasingly stringent conditions underlying Swiss dairy production demand sustainable milk production systems that are economically optimized but also meet the ecological requirements of society. To determine such systems, a comparative-static LP model was constructed at farm level. Realistic production systems are reproduced in the model by means of binary variables. An Life Cycle Assessment (LCA) was integrated into the model to determine the environmental impacts of the farm. To this effect, the internal farm influences on production are illustrated in detail. An initial application of the model, in which a comparison of different income-optimized production systems was carried out, revealed some goal conflicts between economics and ecology....
Tipo: Conference Paper or Presentation Palavras-chave: Life Cycle Assessment (LCA); LP-model; Dairy production; Production system; Livestock Production/Industries; C61; Q12; Q51.
Ano: 2005 URL: http://purl.umn.edu/24714
Imagem não selecionada

Imprime registro no formato completo
Multidisziplinäre Agentendefinitionen für Optimierungsmodelle AgEcon
Mohring, Anke; Zimmermann, Albert; Mack, Gabriele; Mann, Stefan; Ferjani, Ali; Gennaio, Maria-Pia.
Mit der Entwicklung von Multiagentenmodellen für die Landwirtschaft konnten betriebliche Entscheidungsverhalten und Interaktionen in die Simulation von kleineren Agrarregionen einbezogen werden. Wichtige methodische Impulse dazu kamen insbesondere von Wissen-schaftlerinnen und Wissenschaftlern aus Deutschland. Das sich im Aufbau befindende Modell SWISSland erhebt den Anspruch, die 50 000 Familienbetriebe der gesamten Schweizer Landwirtschaft in ihrer Heterogenität bezüglich Betriebs- und Kostenstrukturen sowie Verhal-tensweisen möglichst realitätsnah abzubilden, mit dem Ziel, die Simulation und Prognose des Strukturwandels zu verbessern. Dieser Beitrag beschreibt methodische Aspekte bei der Bil-dung der Agentenpopulation unter Verwendung verschiedener...
Tipo: Conference Paper or Presentation Palavras-chave: Strukturwandel; Schweizer Landwirtschaft; Multi-Agentenmodell; Agentendefinition; Lineare Optimierung; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/53273
Imagem não selecionada

Imprime registro no formato completo
Success factors for farming collectives AgEcon
Pulfer, Iris; Mohring, Anke; Dobricki, M.; Lips, Markus.
As the most intensive form of partnership in agriculture, farming collectives (FCs) place high demands on their participants. Based on a census of Swiss farming collectives, three success indicators are formed. The first and second describe interpersonal and economic success respectively, whilst the third encompasses overall success. Factors influencing success are determined by means of multiple regressions. Five predictor variables (compatibility with co-operation partner, trust, information quality, attitude of social environment, and relationship/kinship circle of the cooperation partner) accounted for 44 per cent of the variance in interpersonal success. Economic success was far more difficult to explain (R2 = 0.11). Even so, the influence of “soft”...
Tipo: Conference Paper or Presentation Palavras-chave: Farming collective; Economic satisfaction; Interpersonal conflicts; Agribusiness.
Ano: 2008 URL: http://purl.umn.edu/43942
Registros recuperados: 5
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional