Browsing by Subject "Data envelopment analysis"
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- PublicationOpen AccessDeterminantes de la eficiencia en las fundaciones españolas(2017) Benito López, Bernardino; Ibáñez, Nieves; Solana, JoséAntecedentes y objetivos: El papel que las fundaciones desempeñan actualmente en la sociedad justifica el análisis de su eficiencia, resultando imprescindible conocer si los recursos de los que disponen son convenientemente destinados a su finalidad. En este sentido, el trabajo que presentamos propone un enfoque actual y sin precedentes para el análisis de los determinantes de la eficiencia de las fundaciones de España durante el período 2008-2010. Método y datos: Nuestro análisis se basa en la elección de aquellos factores exógenos que resumen y describen de una forma óptima la situación de estas organizaciones, así como en la elección de la metodología de la técnica no paramétrica DEA y, más concretamente, el procedimiento bietápico de doble bootstrap de Simar y Wilson. Como inputs discrecionales se proponen la dotación fundacional, el total de activos, el total de gastos y el número de empleados. Los outputs considerados son el nivel de los ingresos obtenidos y el número de usuarios atendidos. Resultados: Los resultados del modelo indican una ineficiencia técnica pura (supuesto CRS) del 27,7%. Relajando la hipótesis CRS por la VRS, la ineficiencia en el empleo de los inputs alcanza el 31,92%. Adicionalmente, y utilizando el procedimiento bootstrap de Simar y Wilson, se obtiene una ineficiencia técnica del 28,70%. Conclusiones: El análisis DEA de dos etapas revela que las fundaciones más eficientes se caracterizan por su naturaleza privada. Así mismo, las fundaciones con mayor antigüedad, las que cuentan con voluntarios entre sus colaboradores y las que poseen un número amplio de patronos son igualmente más eficientes.
- PublicationRestrictedEnvironmental factors affecting European and Central Asian health-systems’ bias-corrected efficiency(Routledge. Taylor and Francis Group, 2017-12-29) Pérez Cárceles, María Concepción; Gómez Gallego, Juan Cándido; Gómez Gallego, María; Economía AplicadaHealth expenditures comprise a large part of national incomes, which explains the growing interest of government agencies in establishing efficient control and management policies in the current context of economic difficulties. One of the main problems in efficiency analysis is to determine the environmental variables that have an impact on the production process. In particular, employing data on the European and Central Asian health systems, the article demonstrates that bias corrected Data Envelopment Analysis is most appropriate measuring efficiency than traditional Data Envelopment Analysis. Bias correction, implies a higher potential resources reduction, affects the ranking of health systems and allows variables influencing efficiency which would be undiscovered with non-corrected estimation. The second stage determines that lifestyle factors, policy organization and location of countries affect the efficiency results and cause differences among the countries. The contribution of these results is particularly useful facing the decision making by governments. Their strategies should be oriented to implementing active policies to struggle against smoking and promoting health policies aimed at increasing the level of immunization in order to be more effective improving management efficiency.
- PublicationOpen AccessEvaluation of the efficiency of european health systems using fuzzy data envelopment analysis(MDPI, 2021-09-26) Gómez Gallego, Juan Cándido; García García, Javier Fernándo; Faura Martínez, Úrsula; Gómez Gallego, María; Economía AplicadaAbstract: Many studies that assess efficiency in health systems are based on output mean values. That approach ignores the representativeness of the average statistic, which can become a serious problem in estimation. To solve this question, this research contributes in three different ways: the first aim is to evaluate the technical efficiency in the management of European health systems considering a set of DEA (Data Envelopment Analysis) and FDEA (Fuzzy Data Envelopment Analysis) models. A second goal is to assess the bias in the estimation of efficiency when applying the conventional DEA. The third objective is the evaluation of the statistical relationship between the bias in the efficiency estimation and the macroeconomic variables (income inequality and economic freedom). The main results show positive correlations between DEA and FDEA scores. Notwithstanding traditional DEA models overestimate efficiency scores. Furthermore, the size of the bias is positively related to income inequality and negative with economic freedom in the countries evaluated.
- PublicationOpen AccessInfluence of cost systems on efficiency. An analysis of Spanish hospitals using public national databases(2020) García-Cornejo, Beatriz; Pérez-Méndez, José A.This paper analyzes whether the level of development of the hospital cost systems (CS) implemented by the Spanish Regional Health Services (RHS) has an effect on hospital efficiency. For this purpose, we used the public data of 159 hospitals of the Spanish National Health System (NHS) between 2010 and 2013, the period of the most stringent budgetary constraints derived from the economic crisis. We apply three methodologies: first, a conventional data envelopment analysis (DEA) model followed by a Tobit regression; second, a two-step procedure with a double bootstrap proposed by Simar & Wilson (2007), and third, the calculation of the Malmquist index and the application of logistic regression to explain the change in efficiency. We find that in the context studied there is a direct relationship between the most developed CS and the improvement of efficiency. Our findings suggest that policy makers and regulators should incentivize the development of standardized hospital CS
- PublicationOpen AccessMedida de la eficiencia en entidades no lucrativas: un estudio empírico para fundaciones asistenciales(2014) Martínez Franco, Carmen M.; Guzmán Raja, IsidoroLa medida del rendimiento de cualquier unidad de decisión es un objetivo ciertamente deseable para conocer si la aplicación de sus recursos económicos (inputs) es adecuada en cada momento para conseguir su objetivo productivo. En este sentido, las entidades sin fines lucrativos no son ajenas a esta necesidad de gestión, presentando dificultades añadidas la medida de su desempeño, dado que por su carácter de «no lucrativas» su objetivo último no es la maximización de beneficio, sino la consecución de fines de carácter social, en ocasiones difícilmente cuantificables. En el contexto descrito, el presente trabajo evalúa, dentro del sector de las entidades sin fines lucrativos, el rendimiento de las fundaciones estatales de tipo asistencial radicadas en Espa˜na, mediante la aplicación de la técnica no paramétrica del análisis envolvente de datos (DEA), capaz de determinar la frontera de «buenas prácticas» de las unidades evaluadas a partir de un modelo de optimización matemática, al tiempo que permite estudiar las variaciones del cambio productivo a través del cálculo del índice de productividad total de los factores de Malmquist basado en la metodología DEA mencionada. El estudio se complementa con un análisis DEA en 2 etapas aplicando un modelo de regresión logit para evaluar la posible asociación de covariables de relevancia en el sector de las fundaciones, tales como su tamaño, liquidez, endeudamiento y antigüedad, con el rendimiento de dichas organizaciones previamente calculado.
- PublicationOpen AccessSustainable Development and Social Inclusion: Efficiency Evidence From Spain and Policy Pathways for the SDGs(Wiley, 2026-04) Caravaca-Garratón, Manuel; Soto-Meca, Antonio; Solana Ibañéz, José; Métodos Cuantitativos para la Economía y la Empresa; Facultades de la UMU::Facultad de Economía y EmpresaThis study examines how hospitality efficiency, sustainability and social inclusion are associated with the achievement of the Sustainable Development Goals (SDGs) in Spain's 17 autonomous communities (ACs) in 2023. Using non-parametric efficiency analysis with bootstrap correction, quantile regression models, and Random Forest methods, an efficiency frontier is constructed for the regional hotel sector and is then related to five sustainability indicators: energy efficiency renovations, ecological certification, quality certification, territorial competitiveness and inclusive employment. The results indicate that sustainability practices and social inclusion are positively associated with efficiency rather than hindering it. On average, each additional energy reform is associated with a 2.8-percentage-point increase in the efficiency score; each additional percentage point of vulnerable employment with a 3.5-point increase, and a one-point increase in territorial competitiveness with a 10.2-point increase. These findings provide empirical evidence, within the Spanish context, that investments in green transition and dignified employment tend to align with higher hotel productivity, particularly in tourism-dependent regions, while also supporting an operational policy agenda at administrative levels.