¿Qué posición ocupa España en la UE-28, desde el punto de vista de la eficiencia medioambiental?

La Unión Europea se ha convertido en el grupo de países que más interés está poniendo en la lucha contra el cambio climático y, por tanto, apostando por la reducción de emisiones de gases efecto invernadero. En esta investigación se analiza la eficiencia natural y de gestión, de los 28 países que forman parte de la UE, para el período 2005-2012. La metodología empleada ha sido el cálculo del índice de Malmquist, suponiendo que se produce un cruce en la frontera de eficiencia entre los diferentes períodos considerados. Las variables inputs empleadas han sido la formación bruta de capital, el consumo de energía no emisora y el empleo. En cuanto a las variables output, el PIB y las emisiones de gases efecto invernadero, como output deseable e indeseable, respectivamente. Los resultados que arroja el análisis indican que la eficiencia España ha empeorado, perdiendo posiciones durante el período considerado, desde cualquiera de los dos enfoques previstos, si bien el retroceso es mayor en el caso de la eficiencia de gestión. En lo que respecta al Índice de Malmquist, durante todo el período se han producido ganancias de productividad en España, si bien el efecto de la crisis económica se ha dejado sentir al reducirse los valores de este índice, siendo la reducción en el enfoque de gestión mayor a la que se ha producido en el enfoque natura

Nivel de eficiencia del uso de recursos por las organizaciones públicas. Caso: sistemas sanitarios españoles

Objectives: This paper seeks to detect, in the Spanish health system, which health services are efficient, and which are not, as well as propose corrective measures that allow inefficient health services to achieve efficiency. Methods: This paper applies the Data Envelopment Analysis (DEA) methodology, which allows obtaining natural and managerial efficiencies, as well as deviations from inefficient units in relation to efficient ones and proposing corrective measures that imply only budgetary (natural) modifications or changes in the policies of resource management (management). Results: Through the efficiencies, or the lack of them, the health services of the 17 Spanish autonomous communities are classified into four groups: With high, medium-high, medium-low or low natural or managerial efficiency. Conclusions: The lack of natural efficiency can be corrected with a greater budgetary endowment and the lack of managerial efficiency with a budget cut and changes in resource management policies. This tendency contrary to the adjustments is precisely what gives this work of interest and novelty with respect to others that apply the DEA in different sectors such as those that study the impact on the environment of resource consumption. Another important aspect of this study is the possibility of applying it to other countries with similar political structures.Objetivos: Con este trabajo se persigue detectar, en el sistema sanitario español, que servicios sanitarios son eficientes y cuáles no, así como proponer medidas correctoras que permitan a los servicios sanitarios ineficientes alcanzar la eficiencia. Metodología: Este trabajo aplica la metodología del análisis envolvente de datos (DEA), que permite obtener las eficiencias natural y gerencial, así como las desviaciones de las unidades ineficientes con relación a las eficientes, y proponer medidas correctoras que impliquen únicamente modificaciones presupuestarias (natural) o cambios en las políticas de gestión de recursos (gerencial). Resultados: A través de las eficiencias, o la falta de ellas, los servicios sanitarios de las 17 comunidades autónomas españolas se clasifican en cuatro grupos: Con eficiencia natural o gerencial alta, media-alta, media-baja o baja. Conclusiones: La falta de eficiencia natural puede corregirse con una mayor dotación presupuestaria, la falta de eficiencia gerencial con un recorte presupuestario y cambios en las políticas de gestión de recursos. Esta tendencia contraria de los ajustes es precisamente la que dota este trabajo del interés y novedad con respectos a otros que aplican el DEA en sectores diferentes como aquellos que estudian el impacto en el medioambiente de los consumos de recursos. Otro aspecto importante de este estudio es la posibilidad de aplicarlo a otros países con estructuras políticas similares

An analysis of Spain’s global and environmental efficiency from a European Union perspective

Este documento no está disponible a texto completo hasta el 2018-05. Para más información póngase en contacto con [email protected] economic growth from the environmental point of view is one of the commitments of the EU-28. Different measures have been implemented to deal with this issue. This work analyses Spain’s natural efficiency and management efficiency, in their static and dynamic sense, for the years 2005–2012, in comparison EU-28. The analysis has been carried out using the Malmquist Index and natural and managerial efficiency. Three variables have been considered as inputs: work, gross fixed capital formation and final energy consumption. Two variables are the outputs: the GDP as a desirable output and greenhouse effect gas emissions as an undesirable output. The result is that Spain’s managerial efficiency and natural efficiency are, though their values are lower, evolving in a similar manner to those of the countries which have been at the heart of the EU longer. These levels of efficiency are higher than those of the block of countries which have joined the EU-28 more recently. The natural Malmquist Index results indicate that these are the countries which have had a greater growth in productivity, above Spain’s and the average of the more “veteran” countries.Ministerio de Economía y Competitividad Proyecto ECO2014-56399-RJunta de Andalucía proyecto SEJ-132Fundación Roger Torné, Universidad de Sevilla, Cátedra de Economía de la Energía y del Medio Ambiente 1394/010

Finding a Common Weight Vector of Data Envelopment Analysis Based upon Bargaining Game

Data Envelopment Analysis (DEA) is a mathematical programming method for measuring the relative efficiency of Decision Making Units (DMUs) by evaluating their outputs and inputs. In the history of DEA, the cross-efficiency of jth DMU is widely used as an efficiency measure of a given DMUo among researchers. The approach always utilizes weights related to inputs and outputs in the assessment. Unfortunately, the weights are not always uniquely determined in the cross-efficiency measurement because DEA always suffers from an occurrence of multiple solutions, so indicating an occurrence of multiple weights. To overcome such a difficulty, this paper proposes a new approach for determining a common weight vector of DEA based on bargaining game

Contributions of Professor William W. Cooper in Operations Research and Management Science

Over a long and remarkably productive career, Professor William W. (Bill) Cooper has made many pioneering contributions to Operations Research and Management Science (OR/MS), with notable forays into the areas of (a) linear and non-linear programming, (b) goal programming, (c) chance-constrained programming, (d) data envelopment analysis, and (e) manpower planning, among others. His legendary partnership with Abraham Charnes has provided results whose connections go back to the 18th century, bearing on problems conceived but left unsolved by Laplace and Gauss. We document cross-fertilizing links among Bill Cooper's multiple research focuses, and their impacts on other researchers. A trace of his work discloses a web of influence that has produced a wide range of advances in OR/MS by those who follow in his footsteps, representing a productive tour de force that shows no sign of abating.DEA Goal programming Linear programming Chance constrained programming