Spesa pubblica in Sanità, Istruzione e Ricerca: efficienza, efficacia e determinanti

La ricerca intende analizzare l’efficacia della spesa pubblica, l’efficienza e le loro determinanti nei settori della Sanità, dell’Istruzione e della Ricerca per 33 paesi dell’area OCSE. L’analisi ha un duplice obiettivo: da un lato un confronto cross country e dall’altro un confronto temporale, prendendo in considerazione il periodo che va dal 1992 al 2011. Il tema della valutazione dell’efficacia e dell’efficienza della spesa pubblica è molto attuale, soprattutto in Europa, sia perché essa incide di quasi il 50% sul PIL, sia a causa della crisi finanziaria del 2008 che ha spinto i governi ad una riduzione dei bugdet e ad un loro uso più oculato. La scelta di concentrare il lavoro di analisi nei settori della Sanità, dell’Istruzione e della Ricerca e Sviluppo deriva da un lato dalla loro peculiarità di attività orientate al cliente (scuole, ospedali, tribunali) dall’altro dal ruolo strategico che essi rappresentano per lo sviluppo economico di un paese. Il lavoro è articolato in tre sezioni: 1. Rassegna dei principali strumenti metodologici utilizzati in letteratura per la misurazione della performance e dell’efficienza della spesa pubblica nei tre settori. 2. Valutazione e confronto dell’efficienza e della performance della spesa pubblica dal punto di vista sia temporale sia cross-country attraverso la costruzione di indicatori di performance e di efficienza della spesa pubblica (per approfondire l'indice dell'efficienza ho applicato la tecnica DEA "bootstrap output oriented" con indicatori di output ed input non simultanei mentre l’evoluzione dell’efficienza tra i periodi 2011-2002 e 2001-1992 è stata analizzata attraverso il calcolo dell’indice di Malmquist). 3. Analisi delle variabili esogene che influenzano l’efficienza della spesa pubblica nei settori Salute, Istruzione e Ricerca e Sviluppo attraverso una regressione Tobit avente come variabile dipendente i punteggi di efficienza DEA output oriented e come variabili esogene alcuni indicatori scelti tra quelli presenti in letteratura: l’Indicatore delle condizioni socioeconomiche delle famiglie (costruito e applicato da OCSE PISA per valutare l’impatto del background familiare nelle performance dell’apprendimento), l’Indicatore di fiducia nel sistema legislativo del paese, l’Indicatore di tutela dei diritti di proprietà, l’Indicatore delle azioni di controllo della corruzione, l’Indicatore di efficacia delle azioni di governo, l’Indicatore della qualità dei regolamenti, il PIL pro-capite. Da questo lavoro emergono risultati interessanti: non sempre alla quantità di risorse impiegate corrisponde il livello massimo di performance raggiungibile. I risultati della DEA evidenziano la media dei punteggi di efficienza corretti di 0,712 e quindi, impiegando la stessa quantità di risorse, si produrrebbe un potenziale miglioramento dell’output generato di circa il 29%. Svezia, Giappone, Finlandia e Germania risultano i paesi più efficienti, più vicini alla frontiera, mentre Slovacchia, Portogallo e Ungheria sono più distanti dalla frontiera con una misura di inefficienza di circa il 40%. Per quanto riguarda il confronto tra l’efficienza della spesa pubblica nei tre settori tra i periodi 1992-2001 e 2002-2011, l’indice di Malmquist mostra risultati interessanti: i paesi che hanno migliorato il loro livello di efficienza sono quelli dell’Est come l’Estonia, la Slovacchia, la Lituania mentre Paesi Bassi, Belgio e Stati Uniti hanno peggiorato la loro posizione. I paesi che risultano efficienti nella DEA come Finlandia, Germania e Svezia sono rimasti sostanzialmente fermi con un indice di Malmquist vicino al valore uno. In conclusione, i risultati della Tobit contengono indicazioni importanti per orientare le scelte dei Governi. Dall’analisi effettuata emerge che la fiducia nelle leggi, la lotta di contrasto alla corruzione, l’efficacia del governo, la tutela dei diritti di proprietà, le condizioni socioeconomiche delle famiglie degli studenti OECD PISA, influenzano positivamente l’efficienza della spesa pubblica nei tre settori indagati. Oltre alla spending review, per aumentare l’efficienza e migliorare la performance della spesa pubblica nei tre settori, è indispensabile per gli Stati la capacità di realizzare delle riforme che siano in grado di garantire il corretto funzionamento delle istituzioni.

Hospital performance:efficiency or quality? Can we have both with IT?

The influence of IT investment on hospital efficiency and quality are of great interest to healthcare executives as well as insurers. Few studies have examined how IT investments influence both efficiency and quality or whether there is an optimal IT investment level that influences both in the desired direction. Decision makers in healthcare wonder if there are tradeoffs between their pursuit of hospital operational efficiency and quality. Our study involving a 2-stage double bootstrap DEA analysis of 187 US hospitals over 2. years found direct effects of IT investment upon service quality and a moderating effect of quality upon operational efficiency. Further, our findings indicate a U-shaped relationship between IT investments and operational efficiency suggesting that IT investments have diminishing returns beyond a certain point.

An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming

In this article we examine sources of technical efficiency for rice farming in Bangladesh. The motivation for the analysis is the need to close the rice yield gap to enable food security. We employ the DEA double bootstrap of Simar and Wilson (2007) to estimate and explain technical efficiency. This technique overcomes severe limitations inherent in using the two-stage DEA approach commonly employed in the efficiency literature. From a policy perspective our results show that potential efficiency gains to reduce the yield gap are greater than previously found. Statistically positive influences on technical efficiency are education, extension and credit, with age being a negative influence.

Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices

This paper analyses the productivity growth of the SUMA tax offices located in Spain evolved between 2004 and 2006 by using Malmquist Index based on Data Envelopment Analysis (DEA) models. It goes a step forward by smoothed bootstrap procedure which improves the quality of the results by generalising the samples, so that the conclusions obtained from them can be applied in order to increase productivity levels. Additionally, the productivity effect is divided into two different components, efficiency and technological change, with the objective of helping to clarify the role played by either the managers or the level of technology in the final performance figures.

Technical efficiency determinants within a dual banking system:a DEA-bootstrap approach

The purpose of this study is to provide a comparative analysis of the efficiency of Islamic and conventional banks in Gulf Cooperation Council (GCC) countries. In this study, we explain inefficiencies obtained by introducing firm-specific as well as macroeconomic variables. Our findings indicate that during the eight years of study, conventional banks largely outperform Islamic banks with an average technical efficiency score of 81% compared to 95.57%. However, it is clear that since 2008, efficiency of conventional banks was in a downward trend while the efficiency of their Islamic counterparts was in an upward trend since 2009. This indicates that Islamic banks have succeeded to maintain a level of efficiency during the subprime crisis period. Finally, for the whole sample, the analysis demonstrates the strong link of macroeconomic indicators with efficiency for GCC banks. Surprisingly, we have not found any significant relationship in the case of Islamic banks.

Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data

This article explores how data envelopment analysis (DEA), along with a smoothed bootstrap method, can be used in applied analysis to obtain more reliable efficiency rankings for farms. The main focus is the smoothed homogeneous bootstrap procedure introduced by Simar and Wilson (1998) to implement statistical inference for the original efficiency point estimates. Two main model specifications, constant and variable returns to scale, are investigated along with various choices regarding data aggregation. The coefficient of separation (CoS), a statistic that indicates the degree of statistical differentiation within the sample, is used to demonstrate the findings. The CoS suggests a substantive dependency of the results on the methodology and assumptions employed. Accordingly, some observations are made on how to conduct DEA in order to get more reliable efficiency rankings, depending on the purpose for which they are to be used. In addition, attention is drawn to the ability of the SLICE MODEL, implemented in GAMS, to enable researchers to overcome the computational burdens of conducting DEA (with bootstrapping).

A Bootstrap-Regression Procedure to Capture Unit Specific Effects in Data Envelopment Analysis

The Data Envelopment Analysis (DEA) efficiency score obtained for an individual firm is a point estimate without any confidence interval around it. In recent years, researchers have resorted to bootstrapping in order to generate empirical distributions of efficiency scores. This procedure assumes that all firms have the same probability of getting an efficiency score from any specified interval within the [0,1] range. We propose a bootstrap procedure that empirically generates the conditional distribution of efficiency for each individual firm given systematic factors that influence its efficiency. Instead of resampling directly from the pooled DEA scores, we first regress these scores on a set of explanatory variables not included at the DEA stage and bootstrap the residuals from this regression. These pseudo-efficiency scores incorporate the systematic effects of unit-specific factors along with the contribution of the randomly drawn residual. Data from the U.S. airline industry are utilized in an empirical application.

Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping:a case of Mozambican banks

Performance analysis has become a vital part of the management practices in the banking industry. There are numerous applications using DEA models to estimate efficiency in banking, and most of them assume that inputs and outputs are known with absolute precision. Here, we propose new Fuzzy-DEA α-level models to assess underlying uncertainty. Further, bootstrap truncated regressions with fixed factors are used to measure the impact of each model on the efficiency scores and to identify the most relevant contextual variables on efficiency. The proposed models have been demonstrated using an application in Mozambican banks to handle the underlying uncertainty. Findings reveal that fuzziness is predominant over randomness in interpreting the results. In addition, fuzziness can be used by decision-makers to identify missing variables to help in interpreting the results. Price of labor, price of capital, and market-share were found to be the significant factors in measuring bank efficiency. Managerial implications are addressed.

Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling

Some factors complicate comparisons between linkage maps from different studies. This problem can be resolved if measures of precision, such as confidence intervals and frequency distributions, are associated with markers. We examined the precision of distances and ordering of microsatellite markers in the consensus linkage maps of chromosomes 1, 3 and 4 from two F 2 reciprocal Brazilian chicken populations, using bootstrap sampling. Single and consensus maps were constructed. The consensus map was compared with the International Consensus Linkage Map and with the whole genome sequence. Some loci showed segregation distortion and missing data, but this did not affect the analyses negatively. Several inversions and position shifts were detected, based on 95% confidence intervals and frequency distributions of loci. Some discrepancies in distances between loci and in ordering were due to chance, whereas others could be attributed to other effects, including reciprocal crosses, sampling error of the founder animals from the two populations, F(2) population structure, number of and distance between microsatellite markers, number of informative meioses, loci segregation patterns, and sex. In the Brazilian consensus GGA1, locus LEI1038 was in a position closer to the true genome sequence than in the International Consensus Map, whereas for GGA3 and GGA4, no such differences were found. Extending these analyses to the remaining chromosomes should facilitate comparisons and the integration of several available genetic maps, allowing meta-analyses for map construction and quantitative trait loci (QTL) mapping. The precision of the estimates of QTL positions and their effects would be increased with such information.

Doses de extrato pirolenhoso no cultivo de orquídea

O extrato pirolenhoso vem sendo utilizado para diversos fins na agricultura, como a melhoria do desenvolvimento vegetativo, a fertilização orgânica, o condicionamento do do solo e a indução de enraizamento. Este trabalho teve como objetivo avaliar o efeito de diferentes doses de extrato pirolenhoso no cultivo da orquídea Cattleya loddigesii Lindl. Utilizaram-se plantas propagadas in vitro, as quais foram cultivadas em vasos com substrato composto de fibra de coco, casca de pinus e casca de arroz carbonizada (1:1:1 v/v/v). As regas foram realizadas manualmente duas vezes por semana, no outono e no inverno, e três vezes por semana, na primavera e no verão. Os tratamentos foram: 0,0 (controle), 0,1, 0,2, 0,3, 0,4, 0,5 e 0,6%, valores que correspondem a 0, 1, 2, 3, 4, 5 e 6 mL L-1 de extrato pirolenhoso, respectivamente, aplicados utilizando-se o produto diluído em água, no volume de 50 mL por vaso a cada 30 dias. Após 12 meses do início do experimento, foram avaliados altura da parte aérea, número de brotos, número de folhas, número de pseudobulbos, comprimento da maior raiz, número de raízes, comprimento da maior folha, massa fresca total, massa seca da parte aérea e pH do substrato. A análise química foliar foi realizada para os elementos cálcio, magnésio, fósforo, potássio e nitrogênio. Observou-se que a aplicação do extrato pirolenhoso foi eficaz no cultivo da espécie Cattleya loddigesii Lindl., sendo recomendada a dose de 0,6%.

UM MODELO FUZZY-DEA-GAME PARA ESTRATÉGIAS DE PRODUÇÃO SOB INCERTEZA

Este trabalho desenvolve um novo modelo Fuzzy-DEA-Game (FDG) para apoiar o estabelecimento de estratégias de produção. Esse modelo combina a Análise Envoltória de Dados (DEA) com conceitos da Teoria dos Conjuntos Fuzzy e do Jogo da Barganha de Nash. O modelo permite uma avaliação da eficiência produtiva e econômica dos produtos, o que pode resultar num portfólio de produtos mais rentáveis e de interesse do mercado consumidor. O modelo foi aplicado em uma empresa do segmento de energia. Os resultados obtidos com a aplicação do modelo FDG mostraram-se aderentes à realidade da empresa estudada e forneceram metas para a redução dos níveis de recursos (entradas) necessários para a fabricação dos produtos e para aumento dos níveis de resultados (saídas) oriundos da comercialização desses produtos. Como resultado adicional importante, o modelo FDG permitiu a identificação dos produtos do portfólio que são mais sensíveis à ocorrência de incerteza.

Estudo exploratório da eficiência dos Tribunais de Justiça estaduais brasileiros usando a Análise Envoltória de Dados (DEA)

O objetivo deste trabalho é comparar a eficiência relativa dos Tribunais de Justiça estadual do Brasil. Trata-se de um estudo de caráter exploratório com um enfoque quantitativo e qualitativo, com pesquisa documental e bibliográfica. Foram utilizados os dados do relatório Justiça em números, edições 2007 e 2008, publicadas pelo Conselho Nacional de Justiça. Os dados foram analisados sob enfoque de um modelo orientado para outputs usando a técnica de Análise Envoltória de Dados (DEA) para análise da eficiência dos Tribunais. Verificou-se um aumento no número de tribunais que alcançaram o nível máximo da eficiência relativa entre 2007 e 2008. Alguns tribunais foram indicados como referências para os demais. É apresentada, também, a situação do Tribunal de Justiça do Estado do Ceará junto a uma análise dos fatores que precisariam ser ajustados para o alcance de sua eficiência máxima.

A comparative benchmarking analysis of main Iberian container terminals: a DEA approach

Benchmarking is an important tool to organisations to improve their productivity, product quality, process efficiency or services. From Benchmarking the organisations could compare their performance with competitors and identify their strengths and weaknesses. This study intends to do a benchmarking analysis on the main Iberian Sea ports with a special focus on their container terminals efficiency. To attain this, the DEA (data envelopment analysis) is used since it is considered by several researchers as the most effective method to quantify a set of key performance indicators. In order to reach a more reliable diagnosis tool the DEA is used together with the data mining in comparing the sea ports operational data of container terminals during 2007.Taking into account that sea ports are global logistics networks the performance evaluation is essential to an effective decision making in order to improve their efficiency and, therefore, their competitiveness.