Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados AgEcon (4) Autor Mueller, Marc (4) Djanibekov, Nodir (1) Ferrari, Emanuele (1) Gay, Stephan Hubertus (1) Santuccio, Federica (1) Palavra-chave Research Methods/ Statistical Methods (2) Agricultural and Food Policy (1) Baseline construction (1) C6 (1) C8 (1) Crop Production/Industries (1) General equilibrium model (1) International Relations/Trade (1) Macro-economic projections (1) Parameter estimation (1) Positive mathematical programming (1) Production Economics (1) Q1 (1) Resource /Energy Economics and Policy (1) Supply model calibration (1) Technology coefficient estimation (1) Mais... Tipo do documento Conference Paper or Presentation (4) Ano 2011 (1) 2009 (1) 2008 (1) 2004 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Deriving CGE Baselines from Macro-economic Projections AgEcon Mueller, Marc; Ferrari, Emanuele. Quantitative policy analysts are usually confronted with the problem to derive a base-line scenario that reflects the most likely state of an economy in a future year. The methods used in practice to derive such a base-line scenarios are heterogeneous and range from the usage of the last observable year to complete and consistent estimation procedures. In the case of general equilibrium (CGE) analyses, the Scenar2020 project (European Commission 2006a) is one example how projections of macro-economic indicators (exogenous drivers) are used to construct the base-line as a model scenario: Starting from a calibrated version, exogenous variables are modified until macro-economic projections are met. However, numerous projections refer to economic indicators... Tipo: Conference Paper or Presentation Palavras-chave: General equilibrium model; Baseline construction; Parameter estimation; Macro-economic projections; Research Methods/ Statistical Methods. Ano: 2011 URL: http://purl.umn.edu/114638 WHERE HAS ALL THE WATER GONE? ESTIMATION OF A PRODUCTION FUNCTION FOR THE AGRICULTURAL SECTOR IN THE REGION KHOREZM, UZBEKISTAN AgEcon Mueller, Marc. A widely known obstacle for analyses of agricultural production systems is the lack of activity specific input data. A set of production functions for the case of agriculture in Khorezm (Uzbekistan) is estimated based on aggregated input data by employing '‘maximum entropy'’. Tipo: Conference Paper or Presentation Palavras-chave: Production Economics. Ano: 2004 URL: http://purl.umn.edu/20106 Analysing the implication of the EU 20-10-20 targets for world vegetable oil production AgEcon Gay, Stephan Hubertus; Mueller, Marc; Santuccio, Federica. The European Commission proposes a minimum of 10 % biofuels in the total transport fuel use by 2020. The new 10% minimum target in 2020 is combined with the existing regulation, which fixes the target at 5.75% in 2010. This paper will in particular investigates how a full implementation of the 20- 10-20 targets would affect production and trade of oil plants in the EU and its main trade partners on this commodity markets, particularly Malaysia and Indonesia. The global general equilibrium model GLOBE is used to carry out the policy scenarios and to assess the effects on oil palm plantation area in Malaysia and Indonesia. The results show that the increased EU bio-diesel target will not significantly influence the expansion of palm oil production in... Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; International Relations/Trade; Resource /Energy Economics and Policy. Ano: 2008 URL: http://purl.umn.edu/6495 Calibration of an Agricultural Sector Model for the Region Khorezm (Uzbekistan) based on Survey Data AgEcon Mueller, Marc; Djanibekov, Nodir. The paper describes the approach used for the calibration of a price-endogenous programming model, developed for the agricultural sector of the region Khorezm in Uzbekistan. Extensive datasets from farm surveys were used to parameterize the model, which nevertheless tended to over-specialization and failed in general to replicate the observed levels of primal model variables. Calibration of the model with “Positive Mathematical Programming” approaches was not satisfying as the additional cost terms introduced to replicate the observed situation were in many cases not plausible and deviated substantially from any available information on cost structure of the agricultural production activities in the study region. After revising the survey data it became... Tipo: Conference Paper or Presentation Palavras-chave: Supply model calibration; Positive mathematical programming; Technology coefficient estimation; Agricultural and Food Policy; Research Methods/ Statistical Methods; C6; C8; Q1. Ano: 2009 URL: http://purl.umn.edu/50354 Registros recuperados: 4 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