The determinants of efficiency: the case of the Spanish industry

The aim of this paper is to analyse the factors explaining the technical efficiency of Spanish industrial sectors during the period 1991–1994 using the Survey of Business Strategies (SBE) of the Ministry of Industry and Energy. It analyses whether efficiency can be explained by factors external to the firm such as the degree of competition in the markets in which it operates, characteristics of the firm (size, organization, advantages of location, participation of public capital, etc.), as well as the effects of dynamic disturbances that may affect the degree of utilization of the productive capacity.     

Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry

This article analyses the efficiency of health care foodservice operations and its determinants using a Data Envelopment Analysis (DEA) bootstrapping approach. The purpose of using the bootstrapping approach is two-fold: first, to obtain the bias corrected estimates and the confidence intervals of DEA-efficiency scores and second, to overcome the correlation problem of DEA-efficiency scores and to provide consistent inferences in explaining the determinants of health care foodservice efficiency. The approach was implemented on a sample of 89 health care foodservice operations. The results showed the presence of inefficiency in the sample, with an average efficiency level of 72.6%. Further, the results from analysing the determinants of health care foodservice operations provided policy implication regarding the factors that might improve the efficiency of health care foodservice operations.     

Technological change,efficiency gains and capital accumulation in labour productivity growth and convergence: an application to the Spanish regions

The main objective of this article is to analyse labour productivity growth and convergence in the Spanish regions between 1965 and 1995, decomposing total factor productivity gains into technological progress and efficiency change by means of Malmquist productivity indices. On the basis of this decomposition, labour productivity growth is broken down into components attributable to technological change (shifts in the frontier), efficiency gains (movements toward the frontier) and capital accumulation (movements along the frontier). The approach followed in this study is based on work initiated by Färe et al., where a link between the economic growth and convergence literature and the production frontier approach was established. Furthermore, in the spirit of Quah's approach, the evolution of the whole distribution is considered. Thus, the analysis of the dynamics of the entire distribution of labour productivity and the factors behind it – technological progress, efficiency gains and capital accumulation – combine both approaches, yielding new insights into the process of productivity growth and convergence experienced by the Spanish regions over the last 30 years.     

The organizational goal and work effort: an efficiency wage model

This paper sets up an efficiency wage model which combines goal-attainment theory and the expectancy-valence approach. Taking account of the psychological work motivation, we find that the aspiration for goal attainment may be a substitute for unemployment as an instigator of work motivation in full employment. In addition, since raising the firm’s goal has a diverse impact on the high and low need-for-achievement workers, a higher goal-setting does not appear capable of increasing worker effort within firms. This finding reconciles the conflicting experimental results in industrial psychology literature.

The Spanish livestock model: A coevolutionary analysis

Coevolution is a wide theoretical framework that enables the study of socio-ecological transformations in different contexts and, specifically, in agrarian systems. This article analyses coevolutionary changes in Spanish livestock over the last 50 years, from the so-called “traditional” livestock model, in which ecological, social and economic elements co-evolve in closely interconnected relationships, to the currently dominant industrial livestock model, governed by “ecologies at a distance”. Not only meat consumption grew significantly as a consequence of the change in the prevailing livestock production model, Spain also became one of the most important meat producers in the European Union. Simultaneously, dependence on imported cereals and soya increased dramatically. Nevertheless, in spite of the prevalence of industrial logics, extensive livestock farming, that follows hybrid logics incorporating features from both models, still exists in Spain and, particularly, in Andalusia (Southern Spain). This locally based model is characterised by higher environmental standards, as well as its contribution to the preservation of a singular agro-ecosystem (dehesa). However, its long-term transformation and, therefore, the social construction of more sustainable local livestock systems, must be understood as a co-evolutionary process in which agency and social selection of innovations are essential elements.     

基于DEA方法的个税征管效率评价

税收征管效率是目前税收研究中受到密切关注的热点问题.针对征收过程中流失较为严重的税种——个人所得税,构建了一个DEA模型,对1994年分税制改革以来我国个人所得税的征管效率进行了有效生评价,并分析了其变化趋势.一个税种的征管效率往往并不只受到一种因素的影响,而是多种因素协同作用的结果.DEA方法作为一种多指标的综合评价方法,在这方面具有非常好的应用价值.     

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.     

The J-curve dynamics of Turkey: an application of ARDL model

This article seeks an empirical evidence for the existence of the J-curve phenomenon both in the short-run and long-run for Turkey over the period 1980-2005. The bounds testing cointegration approach is employed to estimate the trade balance model. An augmented form of Granger causality analysis is implemented between trade balance, real effective exchange rates, foreign income and domestic income. The stability of the short-run as well as long-run coefficients in the trade balance model is tested too. The empirical results that the J-curve phenomenon is supported only in the short-run. Whilst causality tests reveal mix results, the parameter stability tests seem to be inconclusive.     

A stochastic DEA study of hotel efficiency

This current study is the first to apply Stochastic Data Envelopment Analysis (SDEA) approach to assess the efficiency of hotels. The determinants of hotel efficiency were also investigated employing the Tobit regression model approach. The SDEA results show that the SDEA efficiency measures are higher than the deterministic ones and the greater the stochastic variability of outputs, the closer the envelope moves successively to any given observation and the efficiency score approaches one. The optimal solution to SDEA involves the presence of some buffer (slack) of all outputs. In applications involving practice production situation, such buffer (slack) can be interpreted as the firms' need to hold inventory, excess capacity and organizational slack against stochastic uncertainty of market environment. Our results also indicate that resort hotels achieve better efficiency than those in metropolitan areas and operating as part of a chain is not the main determinant of the efficiency of international tourist hotels in Taiwan.     

Testing scale efficiency in DEA models: a bootstrapping approach

This paper presents a method for estimation and test of firm-specific scale efficiency using data envelopment analysis (DEA). The use of a simple bootstrap algorithm is proposed to perform firm-specific inference for scale efficiency. An empirical application using Swedish hospital data is provided. It is found that about 40% of the departments were scale efficient according to the original results. However, for about one-third of those departments the hypothesis of scale efficiency could be rejected.     

Managerial efficiency in Taiwan bank branches: A network DEA

Taiwan's banking industry remains highly fragmented and competitive after a series of financial liberalization and restructuring. With the enforcement of these fiscal policies, domestic banking institutions face a more dynamic, increasingly intense and highly competitive environment even as the banking industry's overall efficiency has gradually been enhanced. This structural change has further forced individual banking institutions, especially state-owned banks, to inspect the performance of their branches and identify improvement directions so as to gain further competitive advantages. To conduct a valid, fair and reliable evaluation on Taiwan's bank branches, we integrate a two-stage series performance model and fuzzy multiobjective model. A new scheme that considers the complementation of production and intermediation activities within a branch and overcomes the shortage of the traditional network DEA methodology about DMUs cannot be assessed on a common base. The results indicate that the overall performances of mixed ownership bank branches are superior to those of state-owned bank branches, representing that the advantages of banking privatization have some remedial effects for improving the managerial inefficiency of state-owned banks. In addition, the sensitivity analysis and decision-making matrix herein help bank management to identify branches' efficiency, weakness, and directions for improvement.     

Short- and long-term evaluation of efficiency and quality. An application to Spanish municipalities

This article analyses efficiency and quality levels in Spanish local governments and their determining factors through the application of the Data Envelopment Analysis methodology. It aims to discover to what extent inefficiency arises from both quality considerations and external factors beyond the organization's control, or alternatively, how much inefficiency is due to inadequate resource management. As a component of inadequate resource management, we test the existence of political-budgetary cycles in the temporal evolution of inefficiencies. The results show that on the whole there is still a wide margin within which local government efficiency and quality levels could be increased, although it is revealed that a great deal of inefficiency is due to exogenous or noncontrollable factors. In particular, it has been found that the size of the municipality, the per capita tax revenue, the per capita grants and the amount of commercial activity are some of the factors related with local government efficiency.     

Market efficiency in the Spanish derivatives markets: An empirical analysis

This paper analyzes Granger caUSAlity between daily prices of the Spanish stock index (Ibex 35) and its futures contract using Johansen cointegration methodology. The study differentiates between short-run and long-run caUSAlity. The empirical results prove that, in the short run, the futures price causes the spot price. However, the opposite is not true. On the other hand, long-run caUSAlity is embodied in the response of futures prices after deviations from the long-run equilibrium. These results say that during the period of study, the Spanish futures market behaved as an efficient market.     

Measuring the efficiency of search engines: an application of data envelopment analysis

This paper adopted the data envelopment analysis (DEA) method to investigate the efficiency of several search engines. A query search on a search engine is modelled as a production process. The input and output vectors are defined and measured accordingly. We studied seven engines, Alta Vista, Excite, Hotbot, Lycos, Infoseek, Open Text, and WebCrawler and found that Alta Vista, Excite, Infoseek, and WebCrawler are efficient but the other three are not. Possible efficiency improvements are calculated.     

Workfare in an efficiency wage model

The impacts of introducing work requirements for welfare recipients are studied in an efficiency wage model. If the workfare package is not mandatory, it will reduce employment, profits, and utility levels of employed and unemployed workers. In contrast, mandatory effort requirements will generally raise both employment and profits and reduce the tax rate. The impact on the net wage is ambiguous. Changes of utility levels of employed and unemployed workers have the same sign as the variation in the net wage. The possibility of a Pareto improvement may explain the widespread support for welfare to work experiments.      

Spatial shift-share analysis versus spatial filtering: an application to Spanish employment data

The aim of this work is to analyse the influence of spatial effects in the evolution of regional employment, thus improving the explanation of the existing differences. With this aim, two non-parametric techniques are proposed: spatial shift-share analysis and spatial filtering. Spatial shift-share models based on previously defined spatial weights matrix allow the identification and estimation of the spatial effects. Furthermore, spatial filtering techniques can be used in order to remove the effects of spatial correlation, thus allowing the decomposition of the employment variation into two components, respectively related to the spatial and structural effects. The application of both techniques to the spatial analysis of regional employment in Spain leads to some interesting findings and shows the main advantages and limitations of each of the considered procedures, together with the quantification of their sensitivity with regard to the considered weights matrix.     

Standard and seasonal long memory in volatility: an application to Spanish inflation

The historical series of many economic variables, such as inflation, are characterized by a strong persistent behaviour in the form of long memory, not only in the long run or at zero frequency but often also at seasonal frequencies. In financial series, long memory is not apparent in levels but strong persistence in higher order moments such as volatility has been proven to be a stylized fact in stock returns. Interest in economic time series has, however, focused on the persistence of levels and little attention has been paid to higher order dependence, which can be important for assessing the stability of the series. We propose a semiparametric analysis of the standard and seasonal persistence of the volatility of a monthly Spanish inflation series. The conclusions can be summarized in three main results. First volatility shows strong persistence implying an unstable trend in prices, but its structure depends on the proxy used, the absolute values, the squares or the logarithms of squares. Second, the structure of the persistence of volatility changed with the first oil crisis in 1973, with a persistent trend in both periods, in contrast with levels. Third, the Taylor effect, which is well documented in financial series, does not apply in this series.     

The gravity model analysis: an application on MERCOSUR trade flows

This paper explores the determinants of bilateral trade flows between Mercosur countries. To this aim, a gravity model is applied to annual bilateral exports between 75 countries in 1980–2008. The model is augmented with variables that are relevant in determining the volume and direction of international trade using two alternative estimation methods; pooled ordinary least squares and panel fixed effects. The results reveal that the influence of the agreement on trade has been positive but moderate. As a whole, Mercosur has had positive effects, and this agreement can be reinforced with the deepening of their relationships and the entry of new members.     

效率视野下我国检警关系之构想

我国刑事诉讼中,公安机关和检察机关承担着侦查与公诉职责,两者在形式上有着不同的职权,但本质上同属于控诉方,即为了预防与惩罚犯罪。正因为两者同属于控诉方,必然存在着配合与冲突,便产生了对两者关系进行合理调整形成合力的必要。而调整二者关系的立足点主要是整合司法资源,防止因扯皮而拖延诉讼,提高诉讼效率。因此,构建新型检警关系的本质也可以说是一种效率安排。从效率的角度重新审视我国的检警关系,就如何建立科学合理的检警关系提出构想,从而实现国家追诉权得以正确行使,刑事诉讼程序运作变得更加合理、有效的目标。     

Competition and efficiency in the MENA banking region: a non-structural DEA approach

The goal of this article is to empirically assess the relationship between competition and efficiency in the banking sector of Middle East and North African (MENA) countries spanning the period 1997–2011. To measure the level of competition, the article estimates the non-structural indicator known as the H-statistic, while the level of bank efficiency is estimated through the nonparametric methodology of the Data Envelopment Analysis (DEA) and the Bootstrap Data Envelopment Analysis (BDEA), respectively. The empirical results are robust under six econometric methodologies, providing sufficient evidence for the presence of a one-way (negative) Granger causality, running from efficiency to competition. The empirical findings lead to the rejection of the ‘Efficient Structure Hypothesis’, implying that increases in competition do not precede increases in cost efficiency.