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	Provedor de dados AgEcon (10) Autor Hockmann, Heinrich (4) Pieniadz, Agata (4) Bakucs, Lajos Zoltan (1) Bokusheva, Raushan (1) Desjeux, Yann (1) Dolman, Mark (1) Fannin, James Matthew (1) Ferto, Imre (1) Goraj, Lech (1) Guthrie, Joanne F. (1) Kumbhakar, Subal C. (1) Latruffe, Laure (1) Nedelea, I. Cristian (1) Ollinger, Michael (1) Oude Lansink, Alfons G.J.M. (1) Ralston, Katherine L. (1) Sipilainen, Timo (1) Soboh, Rafat (1) Zaimova, Darina (1) Mais... Palavra-chave SFA (10) Farm Management (5) D24 (4) Poland (4) Productivity Analysis (4) Q12 (4) Random component model (4) Research Methods/ Statistical Methods (4) Agriculture (3) C23 (3) Technical efficiency (3) Community/Rural/Urban Development (2) Management (2) Production Economics (2) Agribusiness (1) C14 (1) C51 (1) C61 (1) C67 (1) Cost function (1) Mais... Tipo do documento Conference Paper or Presentation (7) Journal Article (1) Presentation (1) Working or Discussion Paper (1) Ano 2012 (1) 2011 (1) 2010 (2) 2009 (1) 2008 (2) 2007 (2) 2005 (1) Mais... País United States (10) Idioma Inglês (10)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 10 Primeira ... 1 ... Última Efficiency Analysis of Rural Hospitals: Parametric and Semi-parametric Approaches AgEcon Nedelea, I. Cristian; Fannin, James Matthew. This paper examined cost efficiency differences between rural hospitals participating in the Critical Access Hospital (CAH) Program and a group of non-converting, prospectively paid rural hospitals using both a two-stage semi-parametric approach as well as stochastic frontier analysis (SFA). CAHs receive Medicare cost-based reimbursement, in contrast with the rest of the hospitals reimbursed under Medicare prospective payment system (PPS). However, cost-based reimbursement has been associated with inefficiency in hospital operations and, consequently, concerns have been raised about the efficiency of CAHs. Results showed a positive and significant effect of CAH status on cost inefficiency under both model specifications suggesting that CAHs were less... Tipo: Presentation Palavras-chave: Rural hospitals; Efficiency; SFA; Two-stage approach; Community/Rural/Urban Development; Health Economics and Policy; Production Economics; Productivity Analysis; Public Economics; Research Methods/ Statistical Methods; I18. Ano: 2012 URL: http://purl.umn.edu/119725 Farm Heterogeneity and Efficiency in Polish Agriculture: A Stochastic Frontier Analysis AgEcon 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 AgEcon 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 MODELLING FARMS' PRODUCTION DECISIONS UNDER EXPENDITURE CONSTRAINTS AgEcon Bokusheva, Raushan; Kumbhakar, Subal C.. Limited budget for the purchase of variable inputs might adversely affect producer's input use decisions and might result in a non-optimal input usage. If expenditure constrains are present and binding, unconstrained profit-maximization is not valid for modelling producers' input use decisions. In this paper we apply the indirect production function approach which describes output maximization subject to a given technology, a set of quasi-fixed inputs and a given budget for the purchase of variable inputs. By employing the indirect production function in the stochastic frontier framework we can estimate producer's output loss due to both expenditure constraints and technical inefficiency. Our estimation results show that most of the study farms were... Tipo: Conference Paper or Presentation Palavras-chave: Indirect production function; SFA; Expenditure constraints; Technical efficiency; Russian agriculture; Farm Management; Research Methods/ Statistical Methods. Ano: 2008 URL: http://purl.umn.edu/6641 Explaining differences in farms efficiencies in Polish agriculture AgEcon 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 Comparative Analysis of Technical Efficiency in European Agriculture AgEcon Bakucs, Lajos Zoltan; Ferto, Imre; Latruffe, Laure; Desjeux, Yann; Soboh, Rafat; Dolman, Mark. Technical efficiency has long been analysed as a measure of farm performance, however most studies are restricted to a single country case. This paper presents a comparative analysis of field crop and dairy farm performance across eight EU countries, including two New Member States (NMS), focusing on long run stability and mobility patterns. The main research question is how relative performance of farms fluctuates over time, i.e. whether poorly performing farms remain always inefficient whilst some farms are always very efficient. Results show that on average 60% of farms maintain their efficiency ranking in two consecutive years, whilst 20% improve and 20% worsen their positions, for all countries. Due to the unstable economic conditions, farms in NMS... Tipo: Conference Paper or Presentation Palavras-chave: Farm technical efficiency; SFA; FADN; Stability analysis; Farm Management; P52; Q12. Ano: 2011 URL: http://purl.umn.edu/114235 Farm Heterogeneity and Efficiency in Polish Agriculture: A Stochastic Frontier Analysis AgEcon 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 School Food Service Costs: Does Location Matter? AgEcon Ollinger, Michael; Ralston, Katherine L.; Guthrie, Joanne F.. Over 30 million lunches and 9.8 million breakfasts are served every day to children in participating American schools through the USDA National School Lunch and School Breakfast Programs. It is challenging for participating local school food authorities (SFAs) to serve appealing, healthful meals while covering food, labor, and other operating costs with USDA reimbursements. But it may be more difficult for some SFAs than others due to cost differences across locations. Analysis of data from a large national sample reveals that after controlling for differences in SFA characteristics, sharp differences in costs remained among rural, urban, and suburban SFAs and across regions. The highest costs occurred in Mid-Atlantic, suburban SFAs and the lowest cost... Tipo: Conference Paper or Presentation Palavras-chave: School meal costs; Cost function; SFA; Food Consumption/Nutrition/Food Safety. Ano: 2010 URL: http://purl.umn.edu/60690 Learning in Organic Farming – An Application on Finnish Dairy Farms AgEcon Sipilainen, Timo; Oude Lansink, Alfons G.J.M.. Organic farming technology may be relatively unknown to farmers at the time when they switch from conventional into organic farming. Therefore, experience gained over time and learning by doing may be important determinants in the efficiency of organic farming. It may also take time to reach the optimal nutrient stock of soil and optimal nutrient supply for arable crops under organic farming. Thus, efficiency of organic farming can either grow or decrease over time depending on the nature of the technology and the learning process. This paper estimates technical efficiency of organic farming and its development over time. We control for possible selection bias and regional heterogeneity when estimating a stochastic frontier distance functions for a sample... Tipo: Conference Paper or Presentation Palavras-chave: Technical efficiency; Technical change; Output distance function; SFA; Research and Development/Tech Change/Emerging Technologies; C23; D24; D83; O30; Q12. Ano: 2005 URL: http://purl.umn.edu/24493 Efficiency analysis of producers’ organizations (Case of South Eastern and Central planning regions of Bulgaria) AgEcon Zaimova, Darina. The main aim of this paper is to compare two alternative methods for estimating frontier functions and measuring efficiency in production. The application of Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) to the same data panel provides insights in estimating technical efficiency of producers’ organizations in selected regions in Bulgaria. Tipo: Journal Article Palavras-chave: DEA; SFA; Technical efficiency; Frontier production; Farm efficiency; Community/Rural/Urban Development; International Development; C14; C23; C51; C61; C67; D24. Ano: 2010 URL: http://purl.umn.edu/94636 Registros recuperados: 10 Primeira ... 1 ... Última

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