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.     

Evaluating the productive performance of UK universities as cost-constrained revenue maximizers: an empirical analysis

The study presents an empirical analysis of the relative revenue efficiency of UK universities in providing teaching and research. With government policies pressurizing the largely public-funded universities to secure efficiency in both input usage and output revenue, university producers are modelled as cost-constrained revenue maximizers. Taking explicit account of the quality of research output, the methodology uses linear programming techniques to construct nonparametric cost indirect production frontiers and to compute revenue efficiency relative to these frontiers. Revenue efficiency is then decomposed into its (output) allocative and technical components. Further analysis investigates the sources of allocative and technical inefficiencies.     

The effect of risk-based capital requirements on profit efficiency in banking

The purpose of this paper is twofold: to show how to measure profit efficiency in banking using a newly developed technique, and to use that technique to determine the effect of risk-based capital requirements on the profit performance of US banks. The measure of profit efficiency used captures deviations from profit maximization arising from technical inefficiency, caused by a lack of managerial oversight and allocative inefficiency, which is caused by managers choosing a nonoptimal mix of inputs and outputs. A leverage ratio constraint and a risk-weighted capital ratio constraint are explicitly included in the model, which allows identification of the effect on profits of those constraints. The techniques are applied to random samples of US banks for 1990, 1992, and 1994. The results indicate that allocative inefficiency is a larger source of profit loss than technical inefficiency and that the risk-based capital standards have a significant effect on bank allocative efficiency.     

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.

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.     

SUBSIDIES AND INEFFICIENCY: STOCHASTIC FRONTIER APPROACH

U.S. urban transit systems receive operating and capital subsidies from various levels of government. Each firm minimizes its cost net of subsidies subject to its production function. The first order conditions from this minimization give a set of equations that are estimated using a stochastic frontier approach. From the results are calculated technical and allocative inefficiencies. The allocative inefficiencies are further decomposed among two sources, subsidies and factors internal to the firm. The analysis reveals large allocative inefficiencies between labor, fuel, and capital. Furthermore, it finds that subsidies lead to excess use of labor relative to capital and excess use of fuel relative to capital and labor. Also, most allocative inefficiencies in firms are due to internal factors and not subsidies, and the sizes of the inefficiencies vary substantially among transit firms.     

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.     

The contributions of technical and allocative efficiency to the economic performance of European railways

This paper provides an empirical analysis of the relative contributions of allocative and technical efficiency to the productivity performance of European railways over the period 1972 to 1999. A stochastic frontier approach is used to analyse the cost structure of the railway industry. We estimate a translog cost system in which allocative inefficiency is modelled through an exact relationship between the cost share equations and the cost function. To allow the estimation of such a model using the sample theory approach we assume that the share equation residuals represent deviations from first-order conditions and, therefore, that they represent exclusively allocative inefficiencies. The use of this simplifying assumption renders our analysis computationally tractable, but it could be inconsistent with the economic theory of duality and for that reason caution is required in interpretation of results. Acknowledging this caveat, we find that European railways have experienced significant cost increases due to inefficient behaviour, with a mean value of around 15%. In contrast to previous studies, however, our estimates indicate a larger role for allocative inefficiency, which accounts for around of a half of the total increase in cost inefficiency.

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.     

Efficiency in the factoring industry

The efficiency and productivity in the Italian factoring industry between 1993 and 1997 is investigated using DEA. The factoring industry is an important part of many financial systems and it has established itself as a major source of finance and credit management for a growing number of companies. However, as far as the authors are aware no studies have applied frontier methodologies to examine the efficiency and productivity of this industry. This paper focuses on the Italian market, the second largest in the world after the UK. The results suggest that there are substantial cost savings to be had in the Italian factoring industry: the mean cost inefficiency in the Italian factoring industry over the period 1993–1997 ranged between 14% and 22%. These inefficiencies are mainly generated by allocative rather than technical inefficiencies. Scale and technical inefficiencies seem to be similar in magnitude and the supposed importance of the latter typically found in the banking efficiency literature, are not observed in Italian factoring. Firm size does not appear to be related to technical, allocative and economic efficiency and the hypothesis that ownership structure influences factoring firm efficiency could not be rejected. In order to analyse efficiency change over time the Malmquist index is used. Total factor productivity was decomposed into technical change and efficiency change and the latter was further divided into pure efficiency and scale efficiency change. Productivity changes were slight over the period 1993–1996, while a substantial increase in productivity occurred between 1996 and 1997: the latter appears to be the result of a large improvement in the technology and a positive scale efficiency change, however, this was slowed down by a negative pure efficiency change.     

A Parametric Estimation of Bank Efficiencies Using a Flexible Profit Function with Panel Data

This paper generalises Kumbhakar's (1996a) single product shadow profit function to a multiproduct one, which in contrast to Berger, Hancock, and Humphrey (1993) is consistent with a firm's profit maximising behaviour. By estimating a parametric translog profit function, which does not require special assumptions about the error distribution, and using panel data from Taiwan's banking industry, the following conclusions can be drawn: (i) Parameter estimates from the translog functional form are more robust than those from the Fuss (non-logarithmic) form. (ii) More than half of all potential variable profits are found to be lost due to inefficiencies. (iii) Greater reduction in profit results from deficient output revenues than from a suboptimal input mix. (iv) The model finds technical progress during the sample period. (v) A type of 'weakly' optimal scope economies is detected, which suggests that the joint production of the two products can increase profits for some banks while not hurting the profits of others.     

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 the productive efficiency of a group of firms

While the conventional Farrell-Färe approach to efficiency measurement can identify the most inefficient firms, it fails to consider the efficiency of a group of firms thoroughly. This paper introduces efficiency measures that can be used to find the efficiency of a group of firms and pinpoint whether the group inefficiency is due to inefficiency inside or outside individual firms. Furthermore, a new way of finding the revenue maximum shadow price vector is introduced to compute the allocative efficiency of individual firms when price data are not available.     

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.     

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.     

Allocative inefficiency and sectoral allocation of labor: Evidence from U.S. agriculture

Are productivity differences across producers in an industry a good indicator of allocative inefficiency? If so, what are the welfare consequences of reallocating labor from lesser to more productive producers? This paper addresses these questions in the context of factor specificity, which generates endogenous distribution of total factor productivity across producers, and reallocation of labor across sectors, as well as within a sector. The paper builds a multi-sector, multi-region general equilibrium model with land as a region-specific factor, and calibrates it using state-level U.S. data from 1960 to 2004, a period with considerable reallocation of labor out of agriculture. The results show that large and persistent differences in agricultural productivity across U.S. states are consistent with factor specificity due to geoclimatic conditions and do not correspond to economically significant allocative inefficiencies.     

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.     

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.     

Labour Market Inefficiency and Frictional Unemployment in Australia and its States: A Stochastic Frontier Approach

This paper provides estimates of labour market inefficiency and the frictional unemployment rate for Australia and its States over the period January 1978 to December 1997. These estimates are derived from parametric statistical models of employment growth in which technical inefficiencies are accounted for. The mean estimate of the (technically efficient) frictional unemployment rate for Australia over the sample period is S3 per cent of the labour force. Technical inefficiency in the labour market matching process is significant and contributes around 13 per cent to the mean steady-state (naturaľ) unemployment rate. Investigation of the factors explaining the levels of inefficiency suggests that inefficiencies vary countercyclical, are related to which political party is in power and the time of year and that only Western Australia and Queensland have exhibited a significant decline in inefficiency over the period.     

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.