- CREDIT RISK AND EFFICIENCY IN THE EUROPEAN BANKING SYSTEMS: A THREE-STAGE ANALYSIS

Increased competition and the attempts of European banks to increase their presence in other markets may have affected the efficiency and credit risk. The first of this aspects is based on the incentive to the banks to reduce cost in order to gain in competitiveness. The second is associated to their lack of knowledge of such markets and/or acceptance of a higher risk in order to increase their market share. Despite the importance of these aspects, banking literature has usually analyzed the effects of competition on the efficiency of banking systems without considering these aspects. The few studies that attempt to obtainrisk adjusted efficiency measures do not consider that part of the risk is due to exogenous circumstances. This article proposes a new three stage sequential technique, based on theDEA model and on the decomposition of risk into its internal and external components, for obtaining efficiency measures adjusted for risk and environment. It is seen that the technique allows the use of any existing technique of incorporation of environmental variables in DEA analysis. El incremento de la competencia y los intentos de los bancos europeos por aumentar supresencia en otros mercados pueden haber afectado tanto al nivel de eficiencia bancaria como alriesgo de crédito. El primero de los aspectos se fundamenta en el incentivo que tienen los bancosa reducir los costes para ganar competitividad. El segundo, está asociado a la ausencia decompetencia en tales mercados y/o a la aceptación de niveles mayores de riesgo con el fin deincrementar la cuota de mercado. A pesar de la importancia de estos aspectos, la literaturabancaria tradicionalmente ha analizado los efectos de la competencia en la eficiencia de lossistemas bancarios sin considerar estos efectos sobre el riesgo. Los escasos estudios queintentan obtener medidas de eficiencia ajustadas por el riesgo no consideran que parte del riesgoes debido a circunstancias exógenas. Este artículo propone una nueva técnica secuenciencial entres etapas, basado en el modelo DEA y en la descomposición del riesgo en sus componentesexterno e interno, para la obtención de medidas de eficiencia ajustadas por el riesgo y elambiente. La técnica se aplica al análisis de la eficiencia de los sistemas bancarios europeos ypermite el uso de cualquiera de las tecnicas existentes para la incorporación de variablesambientales en un contexto DEA.DEA, riesgo de crédito, morosidad, eficiencia, variables ambientales DEA, credit risk, bad loans, efficiency, environmental variables.

The political economy of efficient public good provision: evidence from Flemish libraries using a generalised conditional efficiency framework

Provision of most public goods (e.g., health care, library services, education, utilities) can be characterised by a two-stage ‘production’ process. The first stage translates basic inputs (e.g., labour and capital) into service potential (e.g., opening hours), while the second stage describes how these programmatic inputs are transformed into observed outputs (e.g., school outcomes, library circulation). While the latter stage is best analysed in a supply-demand framework, particularly in the former stage one would like to have efficient public production. Hence, unlike previous work on public sector efficiency (which often conflates both ‘production’ stages), this paper analyses how political economy factors shape efficient public good provision in stage one (using local public libraries as our centre of attention). To do so, we use a specially tailored, fully non-parametric efficiency model. The model is rooted in popular Data Envelopment Analysis models, but allows for both outlying observations and heterogeneity (i.e., a conditional efficiency model). Using an exceptionally rich dataset comprising all 290 Flemish public libraries, our findings suggest that the ideological stance of the local government, the wealth and density of the local population and the source of library funding (i.e., local funding versus intergovernmental transfers) are crucial determinants of library efficiency.Nonparametric estimation, Conditional efficiency, Political economy, Public good provision, Libraries.

The political economy of efficient public good provision: evidence from flemish libraries using a generalised conditional efficiency framework.

Provision of most public goods (e.g., health care, library services, education, utilities) can be characterised by a two-stage ‘production’process. The first stage translates basic inputs (e.g., labour and capital) into service potential (e.g., opening hours), while the second stage describes how these programmatic inputs are transformed into observed outputs (e.g., school outcomes, library circulation). While the latter stage is best analysed in a supply-demand framework, particularly in the former stage one would like to have efficient public production. Hence, unlike previous work on public sector efficiency (which often conflates both ‘production’stages), this paper analyses how political economy factors shape efficient public good provision in stage one (using local public libraries as our centre of attention). To do so, we use a specially tailored, fully non-parametric efficiency model. The model is rooted in popular Data Envelopment Analysis models, but allows for both outlying observations and heterogeneity (i.e., a conditional efficiency model). Using an exceptionally rich dataset comprising all 290 Flemish public libraries, our findings suggest that the ideological stance of the local government, the wealth and density of the local population and the source of library funding (i.e., local funding versus intergovernmental transfers) are crucial determinants of library efficiency.Nonparametric estimation; Conditional efficiency; Political economy; Public good provision; Libraries;

Regulatory and Environmental Effects on Public Transit Efficiency. A Mixed DEA-SFA Approach

The aim of this paper is to account for the impact of statistical noise and exogenous regulatory and environmental factors on the efficiency of public transit systems in a DEA-based framework. To this end, we implement a three-stage DEA-SFA mixed approach based on Fried et al. (2002) using a 1993-1999 panel of 42 Italian public transit companies. This allows us to decompose input-specific DEA inefficiency measures into three components: exogenous effects, pure managerial inefficiency, and statistical noise. First, the initial evaluation of producer performance is carried out using conventional variable returns to scale DEA (Banker et al., 1984). Second, a SFA approach (Battese and Coelli, 1992) is used to regress single input slacks on subsidies regulation (cost-plus versus fixed-price contracts) and a set of environmental variables including network speed and user density. Finally, third stage re-runs DEA on inputs purged of both exogenous effects and statistical noise. Results are such that adjusting for the type of regulatory scheme, environmental conditions, and statistical noise increases average efficiency in the industry and reduces dispersion among firms. Furthermore, the implementation of fixed-price subsidies is found to enhance efficiency in the usage of “drivers” and “materials and services” inputs. Such a result sheds some light on the determinants of input-specific efficiency differentials in the industry, improving the existing evidence on mean overall cost efficiency (e.g. Gagnepain e Ivaldi, 2002; Piacenza, 2006). As a policy implication, it is confirmed the relevance of regula tion aimed at replacing cost-plus subsidization mechanisms with high-powered incentive contracts as well as improving operating conditions of public transport networks.Public transit systems, Regulation, Environmental effects, Statistical noise, Data Envelopment Analysis (DEA), Stochastic Frontier Analysis (SFA)

Opening the 'black box' of efficiency measurement: input allocation in multi-output settings.

We develop a new Data Envelopment Analysis (DEA)-based methodology for measuring the efficiency of Decision Making Units (DMUs) characterized by multiple inputs and multiple outputs. The distinguishing feature of our method is that it explicitly includes information about output-specific inputs and joint inputs in the efficiency evaluation. This contributes to opening the „black box‟ of efficiency measurement in two different ways. First, including information on the input allocation substantially increases the discriminatory power of the efficiency measurement. Second, it allows to decompose the efficiency value of a DMU into output-specific efficiency values which facilitates the identification of the outputs the manager should focus on to remedy the observed inefficiency. We demonstrate the usefulness and managerial implications of our methodology by means of a unique dataset collected from the Activity Based Costing (ABC) system of a large service company with 290 DMUs.

AN EMPIRICAL SURVEY OF FRONTIER EFFICIENCY MEASUREMENT TECHNIQUES IN HEALTHCARE SERVICES

Healthcare institutions worldwide are increasingly the subject of analyses aimed at defining, measuring and improving organisational efficiency. However, despite the importance of efficiency measurement in healthcare services, it is only relatively recently that the more advanced econometric and mathematical frontier techniques have been applied to hospitals, nursing homes, health management organisations and physician practices. This paper attempts to provide a synoptic survey of the comparatively few empirical analyses of frontier efficiency measurement in healthcare services. Both the measurement of inefficiency in healthcare services and the determinants of healthcare efficiency are examined.data envelopment analysis; stochastic frontiers; technical, allocative and productive efficiency

The use of supply chain DEA models in operations management: A survey

Standard Data Envelopment Analysis (DEA) approach is used to evaluate the efficiency of DMUs and treats its internal structures as a “black box”. The aim of this paper is twofold. The first task is to survey and classify supply chain DEA models which investigate these internal structures. The second aim is to point out the significance of these models for the decision maker of a supply chain. We analyze the simple case of these models which is the two-stage models and a few more general models such as network DEA models. Furthermore, we study some variations of these models such as models with only intermediate measures between first and second stage and models with exogenous inputs in the second stage. We define four categories: typical, relational, network and game theoretic DEA models. We present each category along with its mathematical formulations, main applications and possible connections with other categories. Finally, we present some concluding remarks and opportunities for future research.Supply chain; Data envelopment analysis; Two-stage structures; Network structures

Some Determinants of Intermediate Local Governments' Spending Efficiency: The Case of French Départements

Efforts undertaken by France to restructure the allocation of governmental competencies increased the importance of subnational governments by transferring additional tasks. This paper analyzes the efficiency of public spending on an intermediate government level for a sample of 96 départements in metropolitan France in 2008. Spending efficiency is measured using Data Envelopment Analysis (DEA). Results indicate significant room for improvements and detect spending inefficiencies averaging between 10 and 22 percent, depending on model specification. To explain efficiency, a bootstrapped truncated regression, following Simar and Wilson (2007), is applied. The second-stage regression shows that efficiency is also determined by exogenous factors and identifies the distance to the national capital, inhabitants' income and the share of inhabitants of an age over 65 as significant determinants of efficiency.Intermediate government spending efficiency, nonparametric efficiency analysis, bootstrapped truncated regression

Capturing the environment, a metafrontier approach to the drinking water sector.

Environmental factors add complexity to the comparison between specific activities or entire entities. Decision making units with an inferior performance are tempted to invoke that their organization is different from the others in the data set. By reinterpreting and extending the metafrontier literature, we propose an all-embracing concept to fully capture the operational environment. We suggest the ‘Group Specific Technical Efficiency’ as a new measure to assess the overall efficiency of a utility while allowing for environmental differences. A real-world example of drinking water utilies out of 5 different countries illustrates the concept. JEL Classification: C14, C61, D24, L95Free Disposal Hull, Efficiency Measurement, Environmental Variables, Metafrontier, Water Industry

Capturing the environment, a metafrontier approach to the drinking water sector

Environmental factors add complexity to the comparison between specific activities or entire entities. Decision making units with an inferior performance are tempted to invoke that their organization is different from the others in the data set. By reinterpreting and extending the metafrontier literature, we propose an all-embracing concept to fully capture the operational environment. We suggest the ‘Group Specific Technical Efficiency’ as a new measure to assess the overall efficiency of a utility while allowing for environmental differences. A real-world example of drinking water utilies out of 5 different countries illustrates the concept.Free Disposal Hull, Efficiency Measurement, Environmental Variables, Metafrontier, Water Industry