Determinants of banks’ Nerlovian economic efficiency: a DEA-bootstrap approach

ABSTRACT

This study aims to evaluate the Nerlovian economic efficiency of Taiwanese commercial banks and its determinants by assuming the presence of an imperfectly competitive market using a two-stage estimation procedure: Nerlovian economic inefficiency and its components’ price, technical and allocative efficiencies computed and decomposed in the first stage, which are regressed on the explanatory variables with a bootstrapped truncated approach in the second stage. The estimation results show that in the first-stage analysis, the Nerlovian economic inefficiency of banks is primarily due to allocative inefficiency, and indicate the existence of price inefficiency in Taiwan. In the second-stage analysis, the results confirm that both the years in operation of the bank and the ratio of credit loans are the main determinants of banking profit efficiency. In addition, this study not only shows that publicly owned banks contribute to better price efficiency but also proves that loan loss reserve to total assets is negatively associated with technical efficiency. The equity ratio exerts an insignificant favourable impact on allocative efficiency. The findings of this research are essential for bank managers in Taiwan.     

Measuring and explaining the efficiencies of the United Arab Emirates banking system

Using newly collected data from a survey distributed to all banks in the United Arab Emirates (UAE), this article measures economic efficiency in the banking industry, namely allocative, technical, pure technical and scale efficiency. Employing a nonparametric Data Envelopment Analysis (DEA) approach, the study estimates the efficiency for a cross section of the UAE banks in 2004. The results indicate that the dominant source of inefficiency in the UAE banking is stemming from allocative inefficiency rather than technical inefficiency. Furthermore, the main source of the relatively small size, technical inefficiency in the UAE banking industry is not the scale inefficiency but rather pure technical inefficiency. The results further indicate that the UAE banks are able to use their input resources more efficiently when they have more branches, and that newer banks are performing better than older banks on average. Moreover, the results also show that short experiences of employees affect efficiencies negatively and government ownership tends to reduce efficiency (as the government shares increase in the bank, the efficiency scores get lower). Finally, the most interesting results have to do with finding higher average efficiencies in banks that employ more women, more managers and less national citizens of the UAE.     

Bus transit technical efficiency using latent class stochastic indirect production frontier

Using an Indirect Production Frontier (IPF), this article examines technical inefficiency within a latent class framework while simultaneously accounting for allocative distortions from operating and capital subsidies. It identifies two latent classes of US public transit systems, one characterized by economies of scale with 16.61% technical inefficiency and the other by diseconomies of scale with 14.16% technical inefficiency. It decomposes technical inefficiency among some of its sources and finds that the incentive tier of federal operating subsidies, regulations regarding years of vehicle use, subsidy-induced allocative distortion from labour overuse relative to capital negatively influence technical inefficiency in all transit systems. For the Latent Class 1 transit systems, the sources of lower technical inefficiency are operating speed, purchased transportation and years-of-vehicle-use regulation. For the Latent Class 2 transit systems, these sources are subsidy-induced capital-labour allocative distortion and the incentive tier component of the federal formula grant.     

Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach

Measures of technical and scale efficiencies are derived in the Italian banking industries by implementing non-parametric Data Envelopment Analysis on a cross section of 174 Italian banks taken in 1991. The methodology of the parametric and non-parametric approaches to measure efficiency are discussed. The existence of both technical and allocative efficiency is established. This result is robust to modifications in the specification of inputs and outputs suggested by the Intermediation Approach and by the Asset Approach. In implementing both the Intermediation and the Asset Approach the traditional specification of inputs is modified to allow an explicit role for financial capital. In addition, regression analysis is used on a bank-specific measure of inefficiency to investigate determinants of banks' efficiency. Efficiency is best explained by productive specialization, size and, to a lesser extent, by location.     

Comparing French and US hospital technologies: a directional input distance function approach

French and US hospital technologies are compared using directional input distance functions. The aggregation properties of the directional distance function allow comparison of hospital industry-level performance as well as standard firm-level performance with regard to productive efficiency. In addition, the underlying constituents of efficiency?–?in the short run, congestion and technical inefficiency, and in the long run, scale inefficiency?–?are analysed by decomposing the overall measure. By virtue of using the directional distance function, it is also possible to obtain an estimate of a lower bound on allocative inefficiency. It is found that French and US hospitals use quite different technologies. Long run scale inefficiencies cause most of the French hospitals’?inefficiency, while short run technical inefficiency is the main source of overall productive inefficiency in the US hospitals.     

Government Interventions, Market Imperfections, and Technical Inefficiency in a Mixed Economy: A Case Study of Indian Agriculture

This paper uses an output-maximizing framework in the presence of expenditure constraint to measure output loss and input misallocation resulting from market distortions and technical inefficiency. A generalized indirect production function accommodating allocative distortions and technical inefficiency is used. Allocative distortions are captured in terms of effective (shadow) prices in which distortion parameters are both farm- and input-specific. The stochastic frontier approach is used to model technical inefficiency. Using farm-level data on 105 jute growers from West Bengal, India, we find that average output losses due to allocative distortions and technical inefficiency are 6.3% and 14%, respectively.     

Banking deregulation and allocative efficiency in Pakistan

This article examines the impact of deregulation policies on allocative efficiency of banks in Pakistan. It investigates whether deregulation has impacted the pattern of allocative efficiency of banks and explores which bank ownership segment has been more responsive. It uses data from 1991 to 2005 and explicitly models allocative inefficiency by using the translog shadow cost-share system. Empirical results show that overregulation and imperfect market structure hampers the ability of banks to make competitive decisions. We find evidence of allocative inefficiency leading to over-utilization of labour and deposits vis-à-vis operating cost. Empirical results for time-varying allocative efficiency show declining levels of allocative inefficiency for state-owned and private banks in post-reform period. Deregulation policies induce state-owned banks to decrease over-utilization of labour relative to deposits and operating cost while private banks succeed in using operating cost closer to optimal levels. Hence, policymakers have latitude to introduce more reforms without jeopardizing allocative efficiency.     

The Efficiency of China's Banking Industry and the Determinants

The recent global financial crisis highlights the importance of a sound financial sector for economic development. This paper evaluates the economic efficiency of China's banking industry and investigates the determinants of this efficiency. Our analysis shows that the average economic efficiency of joint-stock commercial banks is highest, followed by the ‘Big Four’ state-owned commercial banks and city commercial banks. The economic inefficiency of these banks during the past 15 years was mainly caused by technical inefficiency, and this technical inefficiency was mainly caused by scale inefficiency. Using the scores of efficiency as dependent variables, the paper also comprehensively studies the impact of (1) the characteristics of individual banks, (2) the characteristics of the whole banking industry and (3) macroeconomic factors on banking efficiency. The results suggest a number of factors that banks can work on to improve efficiency and lend support to deepening reforms in the Chinese banking industry, including regulatory reforms that require capital adequacy in a more strict way, reforms that introduce more competition and, more broadly, reforms that aim at establishing institutions that can truly commercialize Chinese banks. Last but not least, the efficiency of banking depends on healthy growth of the overall economy.     

Sources of investment inefficiency: The case of fixed-asset investment in China

This study attempts to measure the inefficiency associated with aggregate investment in a transitional economy. The inefficiency is decomposed into allocative and technical inefficiency based on standard production theory. Allocative inefficiency is measured by the deviation of actual investment from the theoretically desired investment demand. Institutional factors are then identified as part of the driving force of the deviation. The resulting model is applied to Chinese provincial panel data. The main findings are: Chinese investment demand is strongly receptive to expansionary fiscal policies and inter-provincial network effects; the tendency of over-investment remains, even with signs of increasing allocative efficiency and improving technical efficiency.     

Economic inefficiency in a revenue setting: the Norwegian whitefish fishery

The main focus in the inefficiency literature is on suboptimal input use and how this causes increased costs, due to technical and allocative inefficiency. Production or cost functions are then typically used to describe the underlying technology of the firm. The possible revenue loss, due to lower than maximum production levels and suboptimal output mix, has received substantially less attention. By using a revenue function to measure inefficiency, the focus, model and estimation technique presented in this article differ from those of previous studies. A shadow revenue model is used to decompose revenue inefficiency into its technical and allocative components, in which the allocative inefficiency is due to a suboptimal output mix. The approach is illustrated using panel data of Norwegian whitefish trawlers. The results reveal large inefficiencies, with respect to output levels as well as output mix, indicating that this can be an important part of the picture when investigating economic inefficiency. To identify the determinants of revenue inefficiency, we conduct a second-step regression, in which technical and allocative inefficiency is regressed upon a set of explanatory variables. The inefficiencies are partly explained by the management system and fleet structure.     

Effects of Risk-Based Capital Requirements and Asymmetric Information on Banks' Portfolio Decisions

This paper examines if asymmetric information about earnings prospects caused low-capital banks to reduce assets rather than raise capital between 1989 and 1992, the transition period from the leverage ratio to the risk-based capital requirement. The measure of asymmetric information here is the residual of an earnings prediction model based on publicly available information. If managers are significantly better informed than outside investors, a large residual indicates that inside information is more favorable and that the bank's stock is undervalued. The empirical results show an insignificant effect of asymmetric information on banks' portfolio decisions.     

A ‘technically level playing-field’ profit efficiency analysis of enforced competition between publicly funded institutions

The study demonstrates how recent advances in the data envelopment analysis (DEA) of profit efficiency, and in combining DEA and stochastic frontier analysis (SFA) to measure producer performance, can be used to obtain a ‘technically level playing-field’ profit efficiency performance measure. A three-stage analysis is used to provide an empirical investigation of public-sector universities facing regulatory pressures to attain both profit efficiency and output quality. Stage one employs directional distance function analysis to decompose DEA profit efficiency measures into technical and allocative components. As these performance measures incorporate the impacts of managerial inefficiency, the operating environment and luck (statistical noise), stage two applies SFA to total (radial and non-radial) slacks to obtain a degree of disentanglement from the latter two impacts. The stage-two results are used to define a common environment and common luck scenario, thus permitting university producers’ inputs to be adjusted so as to reflect operation within this more level playing-field scenario. Stage three recomputes the first-stage DEA for this scenario, to yield an (input-focused) ‘technically level playing-field’ measure of profit efficiency that unifies the regulatory financial audit and output-quality indicators in a single, best-practice-benchmarked, performance measure.     

Large lending and banks performance. Is there any relationship? Empirical evidence from US banks

Large lending in the banking industry has sparked concerns about banks’ efficiency performance, particularly, if it is related to their credit risk, as trade credit, provided by large, creditworthy firms. We provide evidence of a rather neglected issue regarding the impact of large lending on banks’ efficiency using cost and profit stochastic functions. A unique dataset was constructed concerning all US banks collected from the Statistics on Depository Institutions report compiled by the Federal Deposit Insurance Corporation. Our sample contains US banks tracked yearly for the period 2010–2017, creating an unbalanced panel of year observations. An econometric framework based on nested non-neutral frontiers was developed to estimate the influence and the decomposition of large lending on the three banks’ performance aspects. Moreover, different types of frontiers aiming at the cost and profit sides have been investigated, and the associated elasticities have been calculated. We notice that large lending plays a crucial role in banks’ technical efficiency. Variations among different frontier models, type of bank and size, banks’ ownership structure, and macroeconomic conditions appear to be present. By considering all capital adequacy asset quality management earnings liquidity parameters, we notice that banks’ financial strength affects banks’ efficiency.     

Productivity and misallocation of energy resources: Evidence from Korea’s manufacturing Sector

This paper analyzes the role of allocative efficiency of energy resources with respect to total factor productivity (TFP) in the Korean manufacturing sector. Using firm-level data for Korea, we extend the framework of Hsieh and Klenow (2009) to measure allocative inefficiency of energy markets as a function of energy price distortions. Our results indicate that between the years 2000 and 2014, intra-industry misallocation has increased. With respect to energy resources, this is truer in the low-oil-price periods than in other periods. An improvement in allocative efficiency could be attained by equalizing total factor revenue productivity across firms within an industry. In reallocating capital, labor, and energy resources, hypothetical TFP increases of 51.3 % and 71.7 % above actual levels in 2000 and 2014, respectively, could have been achieved. The evolution of firm productivity has been shaped by energy (electricity and fuel) market distortion and capital market distortion. Our evidence suggests that government (energy) price intervention is likely to have played an important role in productivity loss and in allocative inefficiency observed in energy markets.     

改革中的过度投资需求和效率损失-中国分省固定资产投资案例分析

该文的中心议题是投资效率.我们从基于标准生产函数的投资需求模型出发,从投资需求所处的非均衡状态入手来讨论投资效率.投资需求的非均衡状态由实际投资与理论投资间的偏离来定义.我们将投资效率分成投资的配置效率和投资的生产效率两个方面,并将配置效率与经济制度因素联系起来.我们使用样本期为1989-2000年的中国分省面板数据作为模型分析的实例.分析的重心是中国的过度投资需求在多大程度上是由总投资的配置效率欠佳所造成的.从实例分析中我们发现,资本价格对投资需求几乎无影响,而扩张性的中央与地方财政却对投资需求有着强烈的影响.我们还发现,各省过度投资间存在彼此攀比的网络效应.然而,一旦将这些制度因素分离开来,投资配置效率还是渐有改善的.同时,地区间投资不均的程度也不断有所下降.从投资的生产效率指标估值看,东部沿海省份的效率一般高于西部省份的效率,这是与地区经济的发展水平基本一致的.     

HOW EFFICIENT HAS BEEN CHINA'S INVESTMENT? EMPIRICAL EVIDENCE FROM NATIONAL AND PROVINCIAL DATA

Abstract.  This paper analyses both the allocative efficiency and the dynamic efficiency of China's spending on capital. We examine the relationship between investment flows and the marginal product of capital computed by estimating the Cobb-Douglas and CES production functions at both the national and provincial levels. We also investigate dynamic efficiency by comparing the share of capital in national income and the rate of investment. The main finding is that the allocative efficiency of capital in China has improved in recent years, but the high rate of investment may be a sign of dynamic inefficiency of the Chinese economy.     

The estimation of profit efficiency

This article discusses a way of solving the ‘Greene Problem’ that has been termed for a technical difficulty in estimating a profit system with technical and allocative inefficiencies. As the ‘Greene Problem’ is due to the existence of unobserved technical inefficiency interactive in a nonlinear form, the article proposes a use of homogeneity in technology to untangle the nonlinear form, enabling the estimation of a profit system as well as the identification of the source of inefficiencies.     

The measurement of environmental economic inefficiency with pollution-generating technologies

This study introduces the measurement of environmental inefficiency from an economic perspective. We develop our proposal using the latest by-production models that consider two separate and parallel technologies: a standard technology generating good outputs, and a polluting technology for the by-production of bad outputs. While research into environmental inefficiency incorporating undesirable or bad outputs from a technological perspective is well established, no significant attempts have been made to extend it to the economic sphere. Based on the definition of net profits, we develop an economic inefficiency measure that accounts for suboptimal behavior in the form of foregone private revenue and environmental cost excess. We show that economic inefficiency can be consistently decomposed according to technical and allocative criteria, considering the two separate technologies and market prices, respectively. We illustrate the empirical implementation of our approach using a dataset on agriculture at the level of US states.     

Cost metafrontier approach for measuring the Malmquist productivity index: An example of bank groups formed after the financial reform in Taiwan

This study attempts to provide a framework under the variable returns to scale hypothesis to account for the effect of the cost scale efficiency change in the decomposition of the cost metafrontier Malmquist productivity index (CMMPI). In addition, the meta‐cost efficiency and cost frontier gap between subordinate banks of financial holding companies (FHC) and independent banks are also examined. A total of 34 banks in Taiwan are empirically analysed from 1999 to 2012. The results indicate that the meta‐cost efficiency, meta‐technical efficiency and meta‐allocative efficiency scores of subordinate banks of FHC are better than those of independent banks. The banking industry in Taiwan is found to have an improvement in cost metafrontier Malmquist productivity. The subordinate banks of FHC are also found to exhibit positive CMMPI and decomposition components, but do not achieve a significant improvement except in the case of the technical gap ratio change. The empirical results recommend that Taiwanese banks place more policy focus on the issue of scale adjustment, which should be beneficial. Based on the CMMPI decomposed results, we can gain further understanding of the growth path to enhance operational performance.     

Measurement of technical and allocative efficiencies using a CES cost frontier: a benchmarking study of Japanese transmission-distribution electricity

This paper estimates the technical and allocative inefficiencies of the transmission-distribution sector of Japanese electric utilities using a panel data during the 1981–1998 period. A stochastic production frontier of the CES form is jointly estimated with input demand equations. Taking advantage of the self-duality, we retrieve the cost frontier by which the impacts of technical and allocative inefficiencies on costs and input demands are measured. The estimated elasticity of substitution is significantly different from unity in favor of the CES specification over the Cobb–Douglas. The results show that observed costs are 9 to 48% higher than the efficient level; technical inefficiency raises costs by 1 to 28%, while allocative inefficiency does so by 8 to 30%. Although their impacts on costs are similar, technical inefficiency more fluctuates so the differences in the performance of utilities are mainly due to technical inefficiency. We also find a substantial over-utilization of capital for all utilities.