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Registros recuperados: 52 | |
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BEZERRA NETO, F.; GOMES, E. G.; NUNES, G. H. de S.; BARROS JÚNIOR, A. P.. |
Este trabalho teve como objetivo avaliar o desempenho biológico de sistemas consorciados de cenoura e alface, sob diferentes combinações de densidades populacionais, com uso das análises bivariada de variância e envoltória de dados (DEA). O delineamento experimental usado foi o de blocos ao acaso completos, com cinco repetições, com os tratamentos arranjados em esquema fatorial 4x4. Os tratamentos resultaram da combinação de quatro populações de plantas de cenoura (40, 60, 80 e 100% da população recomendada no cultivo solteiro - PRCS) com quatro populações de plantas de alface (40, 60, 80 e 100% da PRCS). As populações recomendadas para os cultivos solteiros da cenoura e alface foram 500 mil e 250 mil plantas por hectare, respectivamente. Tanto o método... |
Tipo: Artigo de periódico |
Palavras-chave: Análise bivariada; Análise envoltória de dados; Experimentos consorciados; Bivariate analysis; Data envelopment analysis; Intercropping experiments.; Daucus Carota; Lactuca Sativa.. |
Ano: 2007 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/122842 |
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Freire Basantes, Verónica del Carmen. |
En esta investigación se realizó un análisis comparativo de los cambios en la productividad de las entidades federativas de México, durante el período 2005-2010. Para estimar la productividad se utilizó la metodología basada en el Análisis Envolvente de Datos (DEA), bajo el Índice de Productividad de Malmquist (IPM), empleando como producto al PIB estatal y como insumos al capital y mano de obra. Los resultados muestran un descenso general en la productividad del 2005 al 2009, con una recuperación en el 2010; esto se debió principalmente al componente de cambio tecnológico, más que a cambios en la eficiencia técnica. Los desequilibrios regionales principalmente del cuarto período que reflejan los resultados del IPM coinciden con la crisis financiera del... |
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Palavras-chave: Método envolvente de datos; Inventario de capital; Productividad; Doctorado; Economía; Data envelopment analysis; Capital stock; Productivity. |
Ano: 2012 |
URL: http://hdl.handle.net/10521/1767 |
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Ghasemi Mobtaker, Hassan; Taki, Morteza; Salehi, Marzie; Zarei Shahamat, Ebrahim. |
The nonparametric method of data envelopment analysis (DEA) was used to investigate the energy efficiency and CO2 emission of barley farm in Hamedan province of Iran. The method was used based on eight energy inputs including human labor, machinery, diesel fuel, fertilizers, farmyard manure, biocide, electricity and seed energy and single output of barley yield and technical, pure technical, scale and cross efficiencies were calculated using CCR and BCC models. The results showed that the average values of technical, pure technical and scale efficiency scores of farmers were 0.788, 0.941 and 0.833, respectively. Also, energy saving target ratio for barley production was calculated as 11.45%, indicating that by following the recommendations of this... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Data envelopment analysis; Energy saving; Barley; Chemical fertilizers. |
Ano: 2013 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2618 |
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Friesner, Daniel L.; McPherson, Matthew Q.; Rosenman, Robert. |
Efficiency measurement has been one of the most extensively explored areas of health services research over the past two decades. Despite this attention, few studies have examined whether a providers efficiency varies on a monthly, quarterly or other, sub-annual basis. This paper presents an empirical study that looks for evidence of seasonal inefficiency. Using a quarterly panel of general, acute-care hospitals from Washington State, we find that hospital efficiency does vary over time; however, the nature of this dynamic inefficiency depends on the type of efficiency being measured. Our results suggest that technical and cost efficiency vary by quarter. Allocative and scale efficiency also vary on a quarterly basis, but only if the data are jointly... |
Tipo: Working or Discussion Paper |
Palavras-chave: Seasonality; Efficiency; Hospitals; Data envelopment analysis; Health Economics and Policy. |
Ano: 2006 |
URL: http://purl.umn.edu/12957 |
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Mugera, Amin W.; Langemeier, Michael R.. |
In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant. |
Tipo: Journal Article |
Palavras-chave: Bootstrap; Data envelopment analysis; Efficiency; Farms; Farm Management; Production Economics; D24; Q12. |
Ano: 2011 |
URL: http://purl.umn.edu/117947 |
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Registros recuperados: 52 | |
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