Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 3
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Resilience of European farms under different CAP scenarios AgEcon
Polman, Nico B.P.; Peerlings, Jack H.M.; Slangen, Louis H.G..
The upcoming reform of the Common Agricultural Policy will put pressure on agricultural incomes and will cause more price volatility and income risk for farms in the EU. This raises the question if and how farms will survive these disturbances. Farms are able to survive only if they respond appropriately to disturbances. This resilience of farms is explained in this research by analysing the number of strategies that farmers indicate that they will use in a situation where the current CAP will continue and in a situation where it will disappear. The outcomes show that under both scenarios large more specialised farms with young farm heads are most resilient, and small more diversified farms headed by old farmers are least resilient. Results also show that...
Tipo: Conference Paper or Presentation Palavras-chave: Resilience; Governance; CAP reform; Count model; Agricultural and Food Policy; Farm Management.
Ano: 2011 URL: http://purl.umn.edu/114758
Imagem não selecionada

Imprime registro no formato completo
A TWO-STEP ESTIMATOR FOR A SPATIAL LAG MODEL OF COUNTS: THEORY, SMALL SAMPLE PERFORMANCE AND AN APPLICATION AgEcon
Lambert, Dayton M.; Brown, Jason P.; Florax, Raymond J.G.M..
Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to fill this gap. The estimator is developed assuming a Poisson distribution, but can be extended to other count distributions. The small sample properties of the estimator are evaluated with Monte Carlo experiments. Simulation results suggest that the spatial lag count estimator achieves gains in terms of bias over the aspatial version as spatial lag autocorrelation and sample size increase. An empirical example deals with the location choice of single-unit start-up...
Tipo: Working or Discussion Paper Palavras-chave: Count model; Location choice; Manufacturing; Poisson; Spatial econometrics; Community/Rural/Urban Development; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; C21; C25; D21; R12; R30.
Ano: 2010 URL: http://purl.umn.edu/59780
Imagem não selecionada

Imprime registro no formato completo
Location Choices of Multinational Firms: The Case of Mergers and Acquisitions AgEcon
Bertrand, Olivier; Mucchielli, Jean-Louis; Zitouna, Habib.
This article examines the location choices of cross-border Mergers and Acquisitions (M&A) between OECD members´ firms in the 1990`s. In addition to traditional determinants of FDI, we estimate the impact of specific factors affecting the M&A location pattern. Two distinct econometric methods are implemented: the conditional logit and the count model (Poisson or negative binomial model). In spite of the use of alternative econometric methods, we find that the supply of target firms (captured by market capitalization and privatization activity) constrains the location of M&A. However, is it not the only determinant of location: market size, labor costs, market access and financial openness play a positive and significant role on the M&A...
Tipo: Working or Discussion Paper Palavras-chave: Foreign Direct Investment; Merger and Acquisition; Location; Conditional logit; Count model; Industrial Organization; International Relations/Trade; F23; L1; R3.
Ano: 2004 URL: http://purl.umn.edu/26170
Registros recuperados: 3
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