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	Provedor de dados 31 (4) Autor Hockmann, Heinrich (4) Pieniadz, Agata (4) Goraj, Lech (1) Palavra-chave Poland (4) Random component model (4) SFA (4) Agriculture (3) Farm Management (3) Productivity Analysis (3) D24 (2) Management (2) Q12 (2) Research Methods/ Statistical Methods (2) Agribusiness (1) C23 (1) Firm heterogeneity (1) L23 (1) Labor and Human Capital (1) Management. (1) Production Economics (1) Mais... Tipo do documento Conference Paper or Presentation (3) Working or Discussion Paper (1) Ano 2009 (1) 2008 (1) 2007 (2) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Farm Heterogeneity and Efficiency in Polish Agriculture: A Stochastic Frontier Analysis 31 Hockmann, Heinrich; Pieniadz, Agata. This paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. Applying the model to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the inefficiency score. In addition, the reasons for inefficiency are analysed. It is shown that despite the fragmentation of Polish agriculture, there is no evidence for scale inefficiency. Moreover, inefficiency could partly be attributed to factors that affect management input and requirements on farms. Tipo: Conference Paper or Presentation Palavras-chave: SFA; Random component model; Poland; Agriculture; Management; Productivity Analysis. Ano: 2008 URL: http://purl.umn.edu/44278 MODELING HETEROGENEITY IN PRODUCTION MODELS: EMPIRICAL EVIDENCE FROM INDIVIDUAL FARMING IN POLAND 31 Hockmann, Heinrich; Pieniadz, Agata; Goraj, Lech. This discussion paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. Applying the model to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the inefficiency score. In addition, the reasons for inefficiency are analyzed. It is shown that despite the fragmentation of Polish agriculture, there is no evidence for scale inefficiency. Moreover, inefficiency could partly be attributed to factors, which affect the management input and requirements on farms. Tipo: Working or Discussion Paper Palavras-chave: SFA; Random component model; Poland; Management.; Agribusiness; Farm Management; Productivity Analysis; Research Methods/ Statistical Methods; Q12; D24. Ano: 2007 URL: http://purl.umn.edu/91733 Explaining differences in farms efficiencies in Polish agriculture 31 Hockmann, Heinrich; Pieniadz, Agata. This paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. When the model is applied to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the potential production increases due to the reduction of inefficiency. Additionally, our findings provide evidence of the importance of input quality for efficiency analysis. Moreover, the results indicate that farm heterogeneity is a significant determinant of agricultural production. We found that differences in productivity between the farms can partly be attributed to farm size, degree of integration in the product markets and incurred transaction... Tipo: Conference Paper or Presentation Palavras-chave: SFA; Random component model; Poland; Agriculture; Firm heterogeneity; Farm Management; Labor and Human Capital; Production Economics; Productivity Analysis; Research Methods/ Statistical Methods; Q12; C23; D24; L23. Ano: 2009 URL: http://purl.umn.edu/51051 Farm Heterogeneity and Efficiency in Polish Agriculture: A Stochastic Frontier Analysis 31 Hockmann, Heinrich; Pieniadz, Agata. This paper deals with the estimation of a random coefficient model. The virtue of this approach is that it considers firm heterogeneity, which conventional SFA models do not. Applying the model to Polish farms, the results indicate that the conventional random and fixed effect models overestimate the inefficiency score. In addition, the reasons for inefficiency are analysed. It is shown that despite the fragmentation of Polish agriculture, there is no evidence for scale inefficiency. Moreover, inefficiency could partly be attributed to factors, which affect the management input and requirements on farms. Tipo: Conference Paper or Presentation Palavras-chave: SFA; Random component model; Poland; Agriculture; Management; Farm Management. Ano: 2007 URL: http://purl.umn.edu/7823 Registros recuperados: 4 Primeira ... 1 ... Última

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