Estimating banking cost efficiency with the consideration of cost management

This study re-investigates the bank cost efficiency by a combination of two strands of literature. The first strand is related to bank cost efficiency; the other is related to earnings management. Employing the findings reported in bank earnings management literature, this study argues that bank observed total cost (“accounting cost”) may be the biased estimator of the true total cost. Using the biased total cost may thus yield incorrect inferences from estimating bank cost efficiency. We propose a method to modify accounting cost, which is referred to as “economic cost”, to be consistent with the economic theory; that is, one that is free of cost management. Both accounting and economic costs are then adopted to analyze the efficiency of 29 commercial banks in Taiwan banking industry. Our results show that estimated efficiency, with the application of economic cost, offers results that are more reasonable results than those of the accounting cost.     

New evidence on the efficiency of Italian airports: A bootstrapped DEA analysis

A bootstrapped DEA procedure is used to estimate technical efficiency of 18 Italian airports during the period 2000-2004. Departing from previous studies, we separate the efficiency related to ability to manage airside activities (operational) from that related to the management of all business activities (financial). In general, Italian airports operate at poor levels of efficiency, with slightly better performance in terms of their financial activities. In the current study, selected intrinsic and environmental characteristics are considered as possible drivers of Italian airport performance. In particular, we found that: (i) the airport dimension does not allows for operational efficiency advantages, (ii) on the other hand, the airport dimension allows for financial efficiency advantages for the case of hubs and disadvantages for the case of the smallest airports (iii) the type(s) of concession agreement(s) might be considered as important source of technical efficiency differentials for those airports running marginal commercial activities; (iv) the introduction of a dual-till price cap regulation might create incentives which lead to the increase of financial efficiency at the detriment of the operational performance. Lastly, the development of a second hub (Milano Malpensa), has negatively affected the performance of the country’s national hub (Roma Fiumicino).     

Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach

As significant strategic players in China's economy, high-tech industries need to evaluate and analyze the technological innovation activities from a system point of view to understand and improve their technological innovation efficiency and, thereby, promote their development. Different high-tech industries have different characteristics and thus benefit from different industrial development policies. However, few studies to date have discussed this issue from a systematic perspective. In this study, technological innovation activities are divided into a research and development (R&D) stage and a commercialization stage. A high-tech industrial evaluation framework of technological innovation efficiency based on two-stage network data envelopment analysis (DEA) is constructed with shared inputs, additional intermediate inputs, and free intermediate outputs. Our empirical results indicate that the overall efficiency of most industries is relatively low and the differences between the five high-tech industries (i.e., sub-sectors) we examined are large. The Spearman correlation shows that overall efficiency and R&D efficiency are more correlated than overall efficiency and commercialization efficiency. Additionally, R&D has better average efficiency. The sub-sector with the highest average efficiency is computers and office equipment, and the one with the lowest average efficiency is medicines. These findings indicate the inadequacy but potential for breakthroughs in the evolution of high-tech industries in China. The analysis proves that it is necessary to create different industrial policies to encourage effective progress in certain high-tech industries, and some guidelines for doing so are provided.     

Evaluation of ecological systems and the recycling of undesirable outputs: An efficiency study of regions in China

A balance between environmental regulation and economic prosperity has become a major issue of concern to attain a sustainable society in China. This study proposes the application of Data Envelopment Analysis (DEA) for measuring the efficiencies of the ecological systems in various regions of that country. The proposed approach differs from most of the previous ecological systems models in that we view it in a two stage setting; the first stage models the ecological system itself, and from an economic perspective, while the second stage (decontamination system) models water recycling as a feedback process, and the treatment of other undesirable outputs coming from the first stage. There, we separate polluting gases and water into two parts; one part is treated, while the other is discharged. The model considers two major desirable outputs from the first stage, namely Population and Gross Region Product by expenditure (GRP), as well as undesirable variables in the form of consumed water, and certain pollutants, namely nitrogen oxide, sulfur dioxide and soot. At the same time, these undesirable outputs from the first stage are inputs to the second decontamination stage. As well, recycled water is fed back into stage 1. Thus, intermediate variables such as consumed water and waste gas emission simultaneously play dual roles of both outputs and inputs in the ecological system.     

Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis

Considering the interrelationships between periods and the influences of non-operational factors, a new framework based generalized three-stage DEA model, grey relational analysis theory and disparity disassembly model is proposed in this paper. Then, we measure the technical efficiency, scale efficiency, and pure technical efficiency of innovation in China's semiconductor industry between 2009 and 2014. In addition, we conducted projection analysis of the inputs to innovation and the disparities analysis in innovation efficiency across the industrial chain and within each segment. The results of our analyses reveal four key findings. The overall innovation efficiency of China's semiconductor industry is increasing; however, each segment of the industrial chain had different trends and different levels of innovation efficiency. All segments show a consistently upward trend except for package testing, which dipped in 2012 due to the time lag between the inputs and outputs associated with major technological advancements. The most efficient innovation is occurring in design and package testing, followed by manufacturing, materials, and equipment, in that order. Low levels of innovation efficiency were found to be the most significant factor restricting further improvement in the design, manufacturing, and equipment segments of the industrial chain. But the opposite is true for the package testing segment, where pure technical efficiency is the main factor. A range of redundancies in input were found across the industrial chain, mostly in manufacturing and equipment. These two segments are capital-intensive and characterized by a high level of technical complexity coupled with a long research cycle. The disparities in innovation efficiency in and between the segments decreased over the period. However, interestingly, the main disparities were found among the enterprises within each segment, which we attribute to the Chinese government's concerted efforts to support particular companies. Package testing and manufacturing had the highest levels of disparity due to relatively high agglomeration of these two segments. The materials segment had the lowest disparity, with equipment and design falling somewhere in-between.     

基于DEA的福建港口效率评价分析

港口作为福建省的重要战略资源,对福建省的经济发展有着至关重要的作用。作者利用DEA-CCR模型对福建省4个主要沿海港口——福州港、厦门港、泉州港、莆田港的相关港口指标（2008年）进行分析,计算出各港口的综合效率、纯技术效率和规模效率,以此判断港口当前的有效性,并分析无效港口的问题所在,在此基础上提出改进建议。     

The impact of prudential toolkits on loan growth in Central and Eastern European banking systems

This paper examines the effects of prudential policy on loan growth in 11 Central and Eastern European banking systems, spanning the period from 2000 to 2015. Based on the measures taken by the authorities of our sample countries, we build several prudential indices. Additionally, we control for the effects of several country-specific factors and bank-specific characteristics. Finally, we test the homogeneity of these effects, accounting for cycle, ownership, and bank effects. Generally, the empirical findings reveal a negative correlation between prudential toolkits and credit growth, with a conspicuous impact for tools targeting lending activity. We see that the effects of a change in the lending framework on loan growth are heterogeneous when we account for crisis and cycle patterns. Furthermore, the interaction between ownership and crisis reveals that, in normal times, foreign banks recorded higher loan growth compared to domestic banks. The opposite is true in turbulent times. The analysis of interactions between credit-based measures and bank-specific variables show that the effects of prudential actions depend on the bank size and leverage.     

The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis

Turkey and the International Monetary Fund (IMF) agreed to a stand-by arrangement at the outset of 2000. Consequently, Turkey implemented an exchange-rate based stabilization program to combat its high inflation. However, two financial crises followed: one in November, 2000 and the other in February, 2001. As the result some banks became problematic. This necessitated restructuring of the banking sector to increase its financial efficiency.This paper presents a financial performance index for commercial banks. The index allows one to observe the effects of scale and of the mode of ownership (public/domestic, private/domestic/foreign) on bank behavior and, therefore, on bank performance in a developing economy. It documents the effects of financial liberalization, cross-country movements, and the impact of financial crises originating in neighboring countries e.g. Russia. The study applies Data Envelopment Analysis (DEA) to selected fundamental financial ratios using 1989-99 data from commercial banks in Turkey. Year-by-year results explain the effects on this sector of major shifts in both national macro-economic policy and various international developments. The banks that were taken over by the regulatory government agency most recently in the analyzed period were observed to perform poorly with respect to their DEA performance index values.     

The impacts of competition and shadow banking on profitability: Evidence from the Chinese banking industry

This paper contributes to the empirical literature on banking profitability by testing the impacts of competition and shadow banking on bank profitability using a sample of 100 Chinese commercial banks over 2003–2013 with 417 and 395 observations. The current study fills the gaps in the empirical studies by examining the competition in different banking markets (i.e. deposit market, loan market and non-interest income market) in China and further evaluating their impacts on bank profitability. The findings show that the non-interest income market has a higher level of competition compared to the deposit market and loan market. It is further reported that a lower level of competition in deposit market leads to an increase in the profitability of Chinese commercial banks. Finally, the results suggest that shadow banking improves the profitability of Chinese banks.     

The impact of the macroeconomic factors in the bank efficiency: Evidence from the Chinese city banks

This study uses stochastic frontier analysis to examine the impact of the regional disparities in the cost and profit efficiency for a sample of city commercial banks in China from 2005 to 2014. The results indicate that bank efficiency of Chinese City Commercial banks is positively correlated to the per capital GDP but negatively linked to urban population ratio. However, compared the eastern and non-eastern regions, there is a significant difference in effects of macroeconomic factors for bank efficiency. The macroeconomic conditions influence the efficiency of Chinese City Commercial banks in eastern regions are more significant than the others.     

基于DEA的全国31个省市财政科技支出效率测评

财政科技支出效率建立了一个科学且切实可行的评价体系,利用DEA模型,结合2006年全国31个省市财政科技支出的实例,对财政科支出效率进行分析。     

长江经济带工业绿色发展效率测度 ——基于考虑指标偏好的广义DEA模型

文章以中国长江经济带11个省市为研究对象,构建工业绿色发展指标体系,运用考虑指标偏好的广义DEA模型对长江经济带工业绿色发展效率进行测度.研究结果表明:①长江经济带工业绿色发展整体水平较好.②东中西三个地区的平均效率值差距相对较小,地区差异不明显.③从地区内部来看,东部地区内部省市效率值差异很小;中部地区内部省市效率值...     

我国银行业市场结构、效率及绩效关系研究

文章以国际上较流行的数据包络方法为测度工具,利用由CCR模型衍变而来的VRS及NIRS效率模型,对我国商业银行1997、1999、2001、2003年等4年的技术效率、规模效率、纯技术效率进行测算。根据所测得的效率数据,对有效结构假说和结构行为绩效假说进行实证检验,结果显示,效率和市场集中度与银行绩效正相关,而市场份额则与绩效负相关,该结论表明这两个假说都不适合中国银行业市场。同时,我们必须充分重视银行效率的提高。     

Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysis

This paper proposes a new framework based on the combination of the dynamic DEA, meta-frontier analysis theory, and truncated regression model, and then focuses on the efficiency evaluation of regional high-tech industries in China. For all of the overall technical efficiency, technical efficiency, and scale efficiency scores, the east area is always in the lead, with the central and west areas obviously lagging behind. The eastern area has the highest technology level, whereas the west and central areas fall behind in turn. However, the meta-technology ratio of the west area has rapidly increased and presents a trend of catching up with the east. The variables of GRP per capital, total exports and imports, highway mileage per capita, and ratio of tertiary industry to GRP have positive relationships with technical efficiency, and the time trend exhibits a negative coefficient.     

Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates

Many studies devoted to efficiency performance evaluation in the education sector are based on measures of central tendency at school level as, for example, the average values of students belonging to the same school. Although this is a common and accepted way of summarizing data from the original observations (students), it is not less true that this approach neglects the existing dispersion of data, which may become a serious problem if variability across schools is high. Additionally, imprecision may arise when experts on each evaluated subject select the battery of questions, with different levels of difficulty, which will be the base for the final questionnaires completed by students. This paper uses data from US students and schools participating in PISA (Programme for International Student Assessment) 2015 to illustrate that schools' efficiency measures based on aggregate data and imprecision may reflect an inaccurate picture of their performance if they are compared to measures estimated accounting for broader information provided by all students of the same school. In order to operationalize our approach, we resort to Fuzzy Data Envelopment Analysis. This methodology allows us to deal with the notion of fuzziness in some variables such as the socio-economic status of students or test scores. Our results indicate that the estimated measures of performance obtained with the fuzzy DEA approach are highly correlated with those calculated with traditional DEA models. However, we find some relevant divergences in the identification of efficient units when we account for data dispersion and vagueness.     

经济发展水平与科普资源投入产出效率的关系研究 ——基于三阶段DEA模型

双循环新发展格局对我国创新提出了更高的要求.创新发展一方面需要科技创新,另一方面也少不了科学普及,中央强调科学普及与科技创新同等地位.基于三阶段DEA模型,对2008—2015年31个省市、自治区科普投入产出效率进行研究,按照经济发展情况把全国划分为三个区域.研究发现:我国科普投入产出技术效率的上升和规模效率的波动影响...     

The impact of the economic crisis on the (in)efficiency of public Higher Education institutions in Southern Europe: The case of Spanish universities

The evaluation of university efficiency in Europe began timidly when the European Higher Education Area (EHEA) was created. However, this issue is currently becoming increasingly important in Southern European countries, where the limitation of public funding following the economic crisis in 2008 has put greater pressure on their public universities to achieve excellence and improve competitiveness. In this context, the goals of this paper are: first, to measure the relative technical (in)efficiency of Spanish public Higher Education Institutions in the period 2002–03 to 2012–13, comparing the situation before and during the last economic crisis; and, second, to analyze the determinants of university (in)efficiency and, especially, the direct impact of the crisis. After applying the two-stage double bootstrap DEA methodology, the results show that Spanish public universities have become more efficient during the crisis than before it. In fact, the regression analysis confirms that the “crisis” variable has had a statistically significant positive impact on university efficiency. We also find that age has favorably influenced how these institutions utilize their resources to produce teaching and research outputs, but technical specialization has had a negative effect. Moreover, the regional location of public universities has been also a crucial determinant of their efficiency level. Our findings are therefore relevant for political and academic decision-makers in order to know if public universities have been adequately managed in the crisis period and to identify factors that could improve their efficiency, and hence to help them to enhance their international competitiveness in the future.     

Cost efficiency of the banking industry and unilateral euroisation: A stochastic frontier approach in Serbia and Montenegro

This paper aims at investigating the differences in cost efficiency of the banking industry in Serbia and Montenegro over the period 2005–2012. These two countries operated under a common monetary regime until 1999 and followed two different monetary regimes thereafter: unilateral euroisation in Montenegro and monetary independence in Serbia. A stochastic frontier approach incorporating bank-specific and country-related variables is used to analyze cost efficiency in the banking sectors of Serbia and Montenegro. The analysis shows that a bank operating at given conditions in terms of ownership, market and other specific characteristics presents significantly higher cost efficiency if it operates in Montenegro rather than in Serbia. We argue that this result may relate to the choice of unilateral euroisation made by Montenegro. It is also shown that foreign-owned banks, higher capitalized banks and banks with lower non-performing loans operate at higher cost efficiency.     

The impact of market structure on environmental efficiency in the United States: A quantile approach

This paper investigates the relationship between efficiency and market structure for a sample of industrial facilities dispersed among the U.S. states. In order to measure the relevant efficiency scores, we use a data envelopment analysis allowing for the inclusion of desirable and undesirable (toxic chemical releases) outputs in the production function. In the next stage, we utilize the bootstrapped quantile regression methodology to uncover possible nonlinear relationships between efficiency and competition at the mean and at various quantiles before and after the global financial crisis (2002 and 2012). In this way, we impose no functional form constraints on parameter values over the conditional distribution of the dependent variable (efficiency). At the same time, we estimate at which part of its cumulative distribution function the efficiency is located and draw substantial conclusions about the range of policy measures obtained. The empirical findings indicate that the relationship between efficiency and market concentration did change in the aftermath of the global financial crisis. The empirical results survived robustness checks under the inclusion of an alternative market concentration indicator (CR8).