943 resultados para Data Envelopment Analysis
Resumo:
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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The public primary school system in the State of Geneva, Switzerland, is characterized by centrally evaluated pupil performance measured with the use of standardized tests. As a result, consistent data are collected among the system. The 2010-2011 dataset is used to develop a two-stage data envelopment analysis (DEA) of school efficiency. In the first stage, DEA is employed to calculate an individual efficiency score for each school. It shows that, on average, each school could reduce its inputs by 7% whilst maintaining the same quality of pupil performance. The cause of inefficiency lies in perfectible management. In the second stage, efficiency is regressed on school characteristics and environmental variables;external factors outside of the control of headteachers. The model is tested for multicollinearity, heteroskedasticity and endogeneity. Four variables are identified as statistically significant. School efficiency is negatively influenced by (1) the provision of special education, (2) the proportion of disadvantaged pupils enrolled at the school and (3) operations being held on multiple sites, but positively influenced by school size (captured by the number of pupils). The proportion of allophone pupils; schools located in urban areas and the provision of reception classes for immigrant pupils are not significant. Although the significant variables influencing school efficiency are outside of the control of headteachers, it is still possible to either boost the positive impact or curb the negative impact. Dans le canton de Genve (Suisse), les coles publiques primaires sont caractrises par un financement assur par les collectivits publiques (canton et communes) et par une valuation des lves l'aide d'preuves standardises trois moments distincts de leur scolarit. Cela permet de runir des informations statistiques consistantes. La base de donnes de l'anne 2010-2011 est utilise dans une analyse en deux tapes de l'efficience des coles. Dans une premire tape, la mthode d'analyse des donnes par enveloppement (DEA) est utilise pour calculer un score d'efficience pour chaque cole. Cette analyse dmontre que l'efficience moyenne des coles s'lve 93%. Chaque cole pourrait, en moyenne, rduire ses ressources de 7% tout en conservant constants les rsultats des lves aux preuves standardises. La source de l'inefficience rside dans un management des coles perfectible. Dans une seconde tape, les scores d'efficience sont rgresss sur les caractristiques des coles et sur des variables environnementales. Ces variables ne sont pas sous le contrle (ou l'influence) des directeurs d'cole. Le modle est test pour la multicolinarti, l'htroscdasticit et l'endognit. Quatre variables sont statistiquement significatives. L'efficience des coles est influence ngativement par (1) le fait d'offrir un enseignement spcialis en classe spare, (2) la proporition d'lves dfavoriss et (3) le fait d'oprer sur plusieurs sites diffrents. L'efficience des coles est influence positivement par la taille de l'cole, mesure par le nombre d'lves. La proporition d'lves allophones, le fait d'tre situ dans une zone urbaine et d'offrir des classes d'accueil pour les lves immigrants constituent autant de variables non significatives. Le fait que les variables qui influencent l'efficience des coles ne soient pas sous le contrle des directeurs ne signifie pas qu'il faille cder au fatalisme. Diffrentes pistes sont proposes pour permettre soit de rduire l'impact ngatif soit de tirer parti de l'impact positif des variables significatives.
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Neste trabalho, teve-se por objetivo construir uma metodologia de avaliao de desempenho dos municpios paulistas quanto eficincia tcnica na aplicao de recursos pblicos nas aes de ateno bsica sade e analisar a influncia de variveis no controlveis no processo de produo em tal rea. A eficincia tcnica um dos parmetros de avaliao de desempenho dos gestores pblicos, refletindo a capacidade de uma entidade obter mximos outputs com o menor consumo de inputs. O alcance de tal mtrica pode ser prejudicado ou favorecido pelas variveis ambientais ou no controlveis que, se no forem consideradas na avaliao de desempenho, podem gerar vieses. Nesse sentido, por meio da metodologia Data Envelopment Analysis (DEA) em dois estgios, os escores de eficincia dos municpios foram estimados e depois ajustados com o uso da anlise de regresso. Os resultados indicaram que seria possvel aumentar, consideravelmente, a quantidade de servios prestados populao sem a necessidade de novas dotaes oramentrias na maioria dos municpios. Alm disso, verificou-se que a maior proporo de idosos em uma jurisdio torna a prestao de servios mais cara; por sua vez, maiores densidade populacional, grau de urbanizao e escala dos estabelecimentos de sade favorecem o gasto pblico com eficincia. Os cinco municpios paulistas considerados mais eficientes foram Tuiuti, Nova Guataporanga, Sabino, Lins e Santos.
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Las tecnologas de informacin (TI) constituyen en la actualidad una herramienta fundamental para el logro de ventajas competitivas en un contexto sumamente cambiante. Resulta relevante conocer el impacto de su utilizacin sobre el desempeo de las organizaciones, en particular en sectores como el bancario, que realizan un uso intensivo de informacin. En el presente trabajo se desarrolla un modelo que posibilita evaluar el impacto de las inversiones en TI sobre la eficiencia de las entidades bancarias. Se utiliz la tcnica Data Envelopment Analysis (DEA) como herramienta de medicin de la eficiencia de acuerdo al modelo elaborado sobre la informacin obtenida de los estados contables de entidades bancarias de la Repblica Argentina. Los resultados obtenidos demostraron que los bancos alcanzaron un buen nivel de eficiencia global. Se encontr que los ms eficientes son las sucursales de entidades financieras del exterior y los bancos locales de capital extranjero.
Resumo:
El anlisis emprico del presente trabajo trata de evaluar los resultados asociables al gasto sanitario espaol y como consecuencia calibrar las distintas orientaciones para el crecimiento futuro del gasto sanitario pblico. A la vista del estudio de los potenciales impactos procedente de las variaciones de gasto en los mrgenes sobre los niveles actuales de recursos, se tratara de valorar los siguientes objetivos: a) Las mejoras de eficiencia (performance) del sistema sanitario en su conjunto; b) La mejor consecucin 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 (ndice de responsiveness).Se trata de aproximar con ello la valoracin de cuantos recursos se requeriran para cerrar la brecha entre los niveles de gasto observados en Espaa y las mejores prcticas observadas de la muestra estimada. Ello equivale a la cuantificacin 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 anlisis emprico.Para la definicin de las potencialidades en resultados, la aproximacin no paramtrica del anlisis envolvente de datos (AED, Data Envelopment Analysis) es particularmente apropiada para ello. El objetivo es evaluar distancias para los valores espaoles respecto del benchmarking derivado de la estimacin, y cuantificar con ello el coste de cierre de brecha ptimo (entre los outputs de dimensiones mltiples considerados y los diversos recursos puestos a disposicin del sistema sanitario).
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We employ a non-parametrical approach to growth accounting (Data Envelopment Analysis,DEA) to disentangle the proximate sources of labour productivity growth in 41 nationsbetween 1929 and 1950 by decomposing productivity growth into four components:technological change; efficiency catch-up (movements towards the production frontier),capital accumulation and human capital accumulation. We show that efficiency catch-upgenerally explains productivity growth, whereas technological change and factoraccumulation were limited and distorted by the effects of war. War clearly hamperedefficiency. Moreover, an unbalanced ratio of human capital to physical capital (a gap to thetechnological leader) was crucial for efficiency catching-up.
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The goal of this paper is to present an optimal resource allocation model for the regional allocation of public service inputs. Theproposed solution leads to maximise the relative public service availability in regions located below the best availability frontier, subject to exogenous budget restrictions and equality ofaccess for equal need criteria (equity-based notion of regional needs). The construction of non-parametric deficit indicators is proposed for public service availability by a novel application of Data Envelopment Analysis (DEA) models, whose results offer advantages for the evaluation and improvement of decentralised public resource allocation systems. The method introduced in this paper has relevance as a resource allocation guide for the majority of services centrally funded by the public sector in a given country, such as health care, basic and higher education, citizen safety, justice, transportation, environmental protection, leisure, culture, housing and city planning, etc.
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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.
Resumo:
This contribution introduces Data Envelopment Analysis (DEA), a performance measurement technique. DEA helps decision makers for the following reasons: (1) By calculating an efficiency score, it indicates if a firm is efficient or has capacity for improvement; (2) By setting target values for input and output, it calculates how much input must be decreased or output increased in order to become efficient; (3) By identifying the nature of returns to scale, it indicates if a firm has to decrease or increase its scale (or size) in order to minimise the average total cost; (4) By identifying a set of benchmarks, it specifies which other firms' processes need to be analysed in order to improve its own practices. This contribution presents the essentials about DEA, alongside a case study to intuitively understand its application. It also introduces Win4DEAP, a software package that conducts efficiency analysis based on DEA methodology. The methodical background of DEA is presented for more demanding readers. Finally, four advanced topics of DEA are treated: adjustment to the environment, preferences, sensitivity analysis and time series data.
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[spa] La implementacin de un programa de subvenciones pblicas a proyectos empresariales de I+D comporta establecer un sistema de seleccin de proyectos. Esta seleccin se enfrenta a problemas relevantes, como son la medicin del posible rendimiento de los proyectos de I+D y la optimizacin del proceso de seleccin entre proyectos con mltiples y a veces incomparables medidas de resultados. Las agencias pblicas utilizan mayoritariamente el mtodo peer review que, aunque presenta ventajas, no est exento de crticas. En cambio, las empresas privadas con el objetivo de optimizar su inversin en I+D utilizan mtodos ms cuantitativos, como el Data Envelopment Anlisis (DEA). En este trabajo se compara la actuacin de los evaluadores de una agencia pblica (peer review) con una metodologa alternativa de seleccin de proyectos como es el DEA.
Resumo:
[spa] La implementacin de un programa de subvenciones pblicas a proyectos empresariales de I+D comporta establecer un sistema de seleccin de proyectos. Esta seleccin se enfrenta a problemas relevantes, como son la medicin del posible rendimiento de los proyectos de I+D y la optimizacin del proceso de seleccin entre proyectos con mltiples y a veces incomparables medidas de resultados. Las agencias pblicas utilizan mayoritariamente el mtodo peer review que, aunque presenta ventajas, no est exento de crticas. En cambio, las empresas privadas con el objetivo de optimizar su inversin en I+D utilizan mtodos ms cuantitativos, como el Data Envelopment Anlisis (DEA). En este trabajo se compara la actuacin de los evaluadores de una agencia pblica (peer review) con una metodologa alternativa de seleccin de proyectos como es el DEA.
Resumo:
[spa] La implementacin de un programa de subvenciones pblicas a proyectos empresariales de I+D comporta establecer un sistema de seleccin de proyectos. Esta seleccin se enfrenta a problemas relevantes, como son la medicin del posible rendimiento de los proyectos de I+D y la optimizacin del proceso de seleccin entre proyectos con mltiples y a veces incomparables medidas de resultados. Las agencias pblicas utilizan mayoritariamente el mtodo peer review que, aunque presenta ventajas, no est exento de crticas. En cambio, las empresas privadas con el objetivo de optimizar su inversin en I+D utilizan mtodos ms cuantitativos, como el Data Envelopment Anlisis (DEA). En este trabajo se compara la actuacin de los evaluadores de una agencia pblica (peer review) con una metodologa alternativa de seleccin de proyectos como es el DEA.
Resumo:
Measuring school efficiency is a challenging task. First, a performance measurement technique has to be selected. Within Data Envelopment Analysis (DEA), one such technique, alternative models have been developed in order to deal with environmental variables. The majority of these models lead to diverging results. Second, the choice of input and output variables to be included in the efficiency analysis is often dictated by data availability. The choice of the variables remains an issue even when data is available. As a result, the choice of technique, model and variables is probably, and ultimately, a political judgement. Multi-criteria decision analysis methods can help the decision makers to select the most suitable model. The number of selection criteria should remain parsimonious and not be oriented towards the results of the models in order to avoid opportunistic behaviour. The selection criteria should also be backed by the literature or by an expert group. Once the most suitable model is identified, the principle of permanence of methods should be applied in order to avoid a change of practices over time. Within DEA, the two-stage model developed by Ray (1991) is the most convincing model which allows for an environmental adjustment. In this model, an efficiency analysis is conducted with DEA followed by an econometric analysis to explain the efficiency scores. An environmental variable of particular interest, tested in this thesis, consists of the fact that operations are held, for certain schools, on multiple sites. Results show that the fact of being located on more than one site has a negative influence on efficiency. A likely way to solve this negative influence would consist of improving the use of ICT in school management and teaching. Planning new schools should also consider the advantages of being located on a unique site, which allows reaching a critical size in terms of pupils and teachers. The fact that underprivileged pupils perform worse than privileged pupils has been public knowledge since Coleman et al. (1966). As a result, underprivileged pupils have a negative influence on school efficiency. This is confirmed by this thesis for the first time in Switzerland. Several countries have developed priority education policies in order to compensate for the negative impact of disadvantaged socioeconomic status on school performance. These policies have failed. As a result, other actions need to be taken. In order to define these actions, one has to identify the social-class differences which explain why disadvantaged children underperform. Childrearing and literary practices, health characteristics, housing stability and economic security influence pupil achievement. Rather than allocating more resources to schools, policymakers should therefore focus on related social policies. For instance, they could define pre-school, family, health, housing and benefits policies in order to improve the conditions for disadvantaged children.
Resumo:
Talouden kasvaessa mys tavarankuljetusmrt kasvavat. Kuljetusjrjestelmt ja niiden sujuva toiminta on erittin trke taloudellisen kasvun kannalta tll hetkell, ja se tulee olemaan yh trkemp tulevaisuudessa. Tulevaisuudessa tarvitaan kokonaisvaltainen ja selkesti tehokkaampi kuljetusjrjestelm, mikli tulevaisuuden kuljetusvirrat halutaan hoitaa kestvsti. Tss opinnytetyssni tutkin kolmen eurooppalaisen kuljetusjrjestelmn (rautatiet, lentoliikenne ja konttiliikenne meritse) suhteellista teknist tehokkuutta ja menetelmn on data envelopment analysis (DEA). Vertailtaessa kuljetusjrjestelmi lytyi suuria eroja kuljetusmuotojen vlille. lentoyhtit suoriutuivat huomattavan tasaisesti eli tehokkaiden ja ei-tehokkaiden toimijoiden vlill ei ollut suuria eroja. Rautatiepuolella erot venyivt huomattavan suuriksi niin eri yritysten vlill kuin jopa saman yrityksen sisll eri vuosina. Pikaisemmassa laivayhtiiden tarkastelussa erot niiden vlill olivat lhes yht pieni kuin lentoyhtiiden vlill. Tarkasteltaessa omistajuuden vaikutusta lentoyhtiiden toiminnassa huomattiin, ett yksityisess omistuksessa olevat yritykset olivat huomattavasti tehokkaampia matkustajien kuljettamisessa. Rahtipuolella merkittvi eroja ei havaittu. Merkittvt korrelaatiot eri mallien vlill antoivat joitain viitteit mys kuljetuspoliittiseen ptksentekoon; investoinnit matkustajienkuljetuksiin raiteilla parantaisivat koko rautatiepuolen teokkuutta, mutta mys samalla lentopuolen matkustajakuljetuksen tehokkuutta.