943 resultados para Data envelopment analysis (DEA).


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Background To identify those characteristics of self-management interventions in patients with heart failure (HF) that are effective in influencing health-related quality of life, mortality, and hospitalizations. Methods and Results Randomized trials on self-management interventions conducted between January 1985 and June 2013 were identified and individual patient data were requested for meta-analysis. Generalized mixed effects models and Cox proportional hazard models including frailty terms were used to assess the relation between characteristics of interventions and health-related outcomes. Twenty randomized trials (5624 patients) were included. Longer intervention duration reduced mortality risk (hazard ratio 0.99, 95% confidence interval [CI] 0.97–0.999 per month increase in duration), risk of HF-related hospitalization (hazard ratio 0.98, 95% CI 0.96–0.99), and HF-related hospitalization at 6 months (risk ratio 0.96, 95% CI 0.92–0.995). Although results were not consistent across outcomes, interventions comprising standardized training of interventionists, peer contact, log keeping, or goal-setting skills appeared less effective than interventions without these characteristics. Conclusion No specific program characteristics were consistently associated with better effects of self-management interventions, but longer duration seemed to improve the effect of self-management interventions on several outcomes. Future research using factorial trial designs and process evaluations is needed to understand the working mechanism of specific program characteristics of self-management interventions in HF patients.

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There is a pressing need to address productivity analysis in the hospitality industry if hotels are to exist as sustainable business entities in rapidly maturing markets. Unfortunately, productivity ratios commonly used by managers are narrowly defined. This study illustrates data envelopment analysis of cross-sectional data that benchmark hotels on observed best performances. Data envelopment analysis enables management to integrate unlike multiple inputs and outputs to make simultaneous comparisons. Findings from the cross-sectional data suggest that some of the hotels have the potential to reduce number of beds and number of part-time staff while increasing revenue.

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Copyright © 2013 Springer Netherlands.

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Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente, perfil de Engenharia Ecológica

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This paper does two things. First, it presents alternative approaches to the standard methods of estimating productive efficiency using a production function. It favours a parametric approach (viz. the stochastic production frontier approach) over a nonparametric approach (e.g. data envelopment analysis); and, further, one that provides a statistical explanation of efficiency, as well as an estimate of its magnitude. Second, it illustrates the favoured approach (i.e. the ‘single stage procedure’) with estimates of two models of explained inefficiency, using data from the Thai manufacturing sector, after the crisis of 1997. Technical efficiency is modelled as being dependent on capital investment in three major areas (viz. land, machinery and office appliances) where land is intended to proxy the effects of unproductive, speculative capital investment; and both machinery and office appliances are intended to proxy the effects of productive, non-speculative capital investment. The estimates from these models cast new light on the five-year long, post-1997 crisis period in Thailand, suggesting a structural shift from relatively labour intensive to relatively capital intensive production in manufactures from 1998 to 2002.

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In a series of papers (Tang, Chin and Rao, 2008; and Tang, Petrie and Rao 2006 & 2007), we have tried to improve on a mortality-based health status indicator, namely age-at-death (AAD), and its associated health inequality indicators that measure the distribution of AAD. The main contribution of these papers is to propose a frontier method to separate avoidable and unavoidable mortality risks. This has facilitated the development of a new indicator of health status, namely the Realization of Potential Life Years (RePLY). The RePLY measure is based on the concept of a “frontier country” that, by construction, has the lowest mortality risks for each age-sex group amongst all countries. The mortality rates of the frontier country are used as a proxy for the unavoidable mortality rates, and the residual between the observed mortality rates and the unavoidable mortality rates are considered as avoidable morality rates. In this approach, however, countries at different levels of development are benchmarked against the same frontier country without considering their heterogeneity. The main objective of the current paper is to control for national resources in estimating (conditional) unavoidable and avoidable mortality risks for individual countries. This allows us to construct a new indicator of health status – Realization of Conditional Potential Life Years (RCPLY). The paper presents empirical results from a dataset of life tables for 167 countries from the year 2000, compiled and updated by the World Health Organization. Measures of national average health status and health inequality based on RePLY and RCPLY are presented and compared.

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This research focuses on a major concern for marketers addressing the claims of inefficiency of the spending on advertising. We examine whether the Internet can help increase overall advertising efficiency. Using a sample from the Spanish automobile industry, we combine a nonparametric method - Data Envelopment Analysis - with recent important insights from statistics and econometrics studies, and we find that online advertising improves the efficiency levels and this effect is more pronounced in the long-term temporal framework.

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El análisis empírico del presente trabajo trata de evaluar los resultados asociables al gasto sanitario español y como consecuencia calibrar las distintas orientaciones para el crecimiento futuro del gasto sanitario público. A la vista del estudio de los potenciales impactos procedente de las variaciones de gasto en los márgenes sobre los niveles actuales de recursos, se trataría de valorar los siguientes objetivos: a) Las mejoras de eficiencia (performance) del sistema sanitario en su conjunto; b) La mejor consecución de cotas de equidad (tanto en contribuciones finacieras como en el acceso a prestaciones); c) El incremento de la capacidad de respuesta por parte de la oferta y del dispositivo asistencial del sistema a las necesidades percibidas (índice de responsiveness).Se trata de aproximar con ello la valoración de cuantos recursos se requerirían para cerrar la brecha entre los niveles de gasto observados en España y las mejores prácticas observadas de la muestra estimada. Ello equivale a la cuantificación del gasto sanitario adicional necesario por punto marginal de ganancia en el valor de los indicadores observados, de acuerdo con los valores estimados en el análisis empírico.Para la definición de las potencialidades en resultados, la aproximación no paramétrica del análisis envolvente de datos (AED, Data Envelopment Analysis) es particularmente apropiada para ello. El objetivo es evaluar distancias para los valores españoles respecto del benchmarking derivado de la estimación, y cuantificar con ello el coste de cierre de brecha óptimo (entre los outputs de dimensiones múltiples considerados y los diversos recursos puestos a disposición del sistema sanitario).

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In this article we examine the potential effect of market structureon hospital technical efficiency as a measure of performance controlled byownership and regulation. This study is relevant to provide an evaluationof the potential effects of recommended and initiated deregulation policiesin order to promote market reforms in the context of a European NationalHealth Service. Our goal was reached through three main empirical stages.Firstly, using patient origin data from hospitals in the region of Cataloniain 1990, we estimated geographic hospital markets through the Elzinga--Hogartyapproach, based on patient flows. Then we measured the market level ofconcentration using the Herfindahl--Hirschman index. Secondly, technicaland scale efficiency scores for each hospital was obtained specifying aData Envelopment Analysis. According to the data nearly two--thirds of thehospitals operate under the production frontier with an average efficiencyscore of 0.841. Finally, the determinants of the efficiency scores wereinvestigated using a censored regression model. Special attention waspaid to test the hypothesis that there is an efficiency improvement in morecompetitive markets. The results suggest that the number of competitors inthe market contributes positively to technical efficiency and there is someevidence that the differences in efficiency scores are attributed toseveral environmental factors such as ownership, market structure andregulation effects.

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Technical efficiency is estimated and examined for a cross-section of Australian dairy farms using various frontier methodologies; Bayesian and Classical stochastic frontiers, and Data Envelopment Analysis. The results indicate technical inefficiency is present in the sample data. Also identified are statistical differences between the point estimates of technical efficiency generated by the various methodologies. However, the rank of farm level technical efficiency is statistically invariant to the estimation technique employed. Finally, when confidence/credible intervals of technical efficiency are compared significant overlap is found for many of the farms' intervals for all frontier methods employed. The results indicate that the choice of estimation methodology may matter, but the explanatory power of all frontier methods is significantly weaker when interval estimate of technical efficiency is examined.

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The idea of Sustainable Intensification comes as a response to the challenge of avoiding resources such as land, water and energy being overexploited while increasing food production for an increasing demand from a growing global population. Sustainable Intensification means that farmers need to simultaneously increase yields and sustainably use limited natural resources, such as water. Within the agricultural sector water has a number of uses including irrigation, spraying, drinking for livestock and washing (vegetables, livestock buildings). In order to achieve Sustainable Intensification measures are needed that enable policy makers and managers to inform them about the relative performance of farms as well as of possible ways to improve such performance. We provide a benchmarking tool to assess water use (relative) efficiency at a farm level, suggest pathways to improve farm level productivity by identifying best practices for reducing excessive use of water for irrigation. Data Envelopment Analysis techniques including analysis of returns to scale were used to evaluate any excess in agricultural water use of 66 Horticulture Farms based on different River Basin Catchments across England. We found that farms in the sample can reduce on average water requirements by 35% to achieve the same output (Gross Margin) when compared to their peers on the frontier. In addition, 47% of the farms operate under increasing returns to scale, indicating that farms will need to develop economies of scale to achieve input cost savings. Regarding the adoption of specific water use efficiency management practices, we found that the use of a decision support tool, recycling water and the installation of trickle/drip/spray lines irrigation system has a positive impact on water use efficiency at a farm level whereas the use of other irrigation systems such as the overhead irrigation system was found to have a negative effect on water use efficiency.

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Diante das atuais tendências de busca da eficiência, muitas vezes através de grandes investimentos em novas tecnologias, em infra-estrutura, em recursos humanos, entre outros, objetiva a presente pesquisa apresentar uma forma de mensurar a eficiência relativa que os diversos níveis de recursos utilizados possam, ou não, trazer às Escrivanias de Paz do Estado de Santa Catarina. Através da técnica “Data Envelopment Analisys” - DEA (Análise Envoltória de Dados), busca-se mostrar as relações que os diversos níveis de recursos possam ou não trazer na performance de cada empresa de forma relativa umas as outras. A pesquisa de campo busca levantar os diversos inputs, como instalações físicas, quantidade de funcionários, tempo médio de serviço dos funcionários, quantidade de linhas telefônicas, equipamentos de fax, copiadoras, computadores e software e os diversos outputs, como escrituras, procurações, autenticações, reconhecimentos de firmas, casamentos, nascimentos e óbitos existentes em cada uma das 266 Escrivanias de Paz do estado. Acredita-se que os procedimentos utilizados revelam-se como um instrumento de apoio decisório para essas empresas, além de mostrar as diferenças de desempenho organizacional com a utilização de diversos níveis de recursos. Os resultados obtidos através das analises, demonstram os principais pontos que devem sofrer alterações nas escrivanias não eficientes com relação ao conjunto. Estes pontos norteiam rumos de ações aos dirigentes para melhoria da eficiência destas empresas.