The Dynamics of Efficiency Improving Input Allocation

A dynamic theory of efficiency improving input reallocations is presented which relaxes the assumption that decision-making units have the ability to reorganize their activities instantaneously to achieve efficient input allocations. Explicit account is taken of the decision-making unit’s gradual transition to an efficient input allocation. A balanced panel data set covering 906 U.S. agricultural banks is constructed for the period 1996–2000 and we find that these banks are allocatively efficient but technically inefficient. The explicit solution for the optimal input use finds evidence of gradual transitions for two of the three inputs, with the labor input transition being the slowest. The efficiency improving path finds the firm transitions toward an efficient allocation by simultaneously improving on technical efficiency instantaneously and on allocative efficiency intertemporally, which suggests a non-linear path toward the most efficient allocation.     

Banking efficiency in South East Europe: Evidence for financial crises and the gap between new EU members and candidate countries

In this study we compare the cost efficiency of banks in ten South East European countries and find out how differences in efficiency are related to EU membership. The results reveal a statistically significant cost efficiency gap between EU and non-EU banking systems in the region, where on average EU banking systems tend to be more cost efficient than their non-EU counterparts. In contrast to other similar studies analyzing banking efficiency in South East European countries, we also run β-convergence and σ-convergence tests, as proposed in the literature. Based on these tests we can draw conclusions concerning the existence of a catching-up effect, since the detected cost efficiency gap is closing predominantly because of adjustments on the side of the less efficient banks. Additionally, we found that during the 2008 global financial crisis, the average cost efficiency scores of banks in the region improved, which could be explained by enhanced incentives of bank managers for intensified cost optimization in banks in crisis times. Our results suggest that the institutional adjustments in the non-EU countries should continue towards EU standards, as the EU banking systems tend to dominate in terms of measured cost efficiency.     

Are Mainstream and Heterodox Economists Different? An Empirical Analysis

We explore the differences between mainstream and heterodox economists based on the responses to a questionnaire from a representative sample of Italian economists. Using different definitions for mainstream and heterodox economics, we compare the individual and academic characteristics of the economists belonging to these groups. We measure the within and between disagreement for each group and we test whether belonging to one or the other group predicts differences in economists' opinions on economic policy. Results show that: 1) mainstream and heterodox economists differ as to individual and academic characteristics and political views; 2) the disagreement within heterodox economics is lower than within mainstream economics; 3) some of commonly used ways of grouping heterodox and mainstream schools of thought have little explicative power in relation to individual opinions; 4) on critical economic policies, the opinions of heterodox and mainstream economists are significantly different even after controlling for a number of individual characteristics, including political opinions.     

Random scheduling with deadlines under dichotomous preferences

A group of individuals share a deterministic server which is capable of serving one job per unit of time. Every individual has a job and a cut off time slot (deadline) where service beyond this slot is as worthless as not getting any service at all. Individuals are indifferent between slots which are not beyond their deadlines (compatible slots). A schedule (possibly random) assigns the set of slots to individuals by respecting their deadlines. We only consider the class of problems where for every set of relevant slots (compatible with at least one individual) there are at least as many individuals who have a compatible slot in that set: we ignore the case of underdemand. For this class, we characterize the random scheduling rule which attaches uniform probability to every efficient deterministic schedule (efficient uniform rule) by Pareto efficiency, equal treatment of equals, and probabilistic consistency (Chambers, 2004). We also show that a weaker version of the probabilistic consistency axiom is enough to achieve our result. Finally we show that efficient uniform rule is strategyproof.     

Evolving Market Efficiency with an Application to Some Bulgarian Shares

With new technically advanced methods and computers at our disposal, the efficient market hypothesis is once again being debated. At the same time, we are witnessing an unprecedented growth in both existing and new financial markets. These new markets are often in economies which have just recently embraced free market economics; we term these stock markets infant markets. Such stock markets are obviously not efficient in allocating the supply of savings to productive capital. We do not test whether or not these infant markets are informationally efficient, but instead examine whether and how they are becoming more efficient. We propose modelling the excess returns of individual securities using a multi-factor model with time-varying coefficients and generalised auto-regressive conditional heteroskedastic (GARCH) errors. If the markets are becoming more informationally efficient or the agents are learning, we would expect this to manifest itself as the time-varying coefficients becoming more stable as time increases. We test our model using data on four Bulgarian shares. First, we estimate an AR(2) model and a GARCH-M(1,1) model for the shares. Then, we estimated our AR(2) model with time varying coefficients and GARCH type errors. We find varying levels of efficiency and varying speeds of movement towards efficiency within our sample of four shares. This revised version was published online in July 2006 with corrections to the Cover Date.     

Centralized Resource Allocation Using Data Envelopment Analysis

While conventional DEA models set targets separately for each DMU, in this paper we consider that there is a centralized decision maker (DM) who “owns” or supervises all the operating units. In such intraorganizational scenario the DM has an interest in maximizing the efficiency of individual units at the same time that total input consumption is minimized or total output production is maximized. Two new DEA models are presented for such resource allocation. One type of model seeks radial reductions of the total consumption of every input while the other type seeks separate reductions for each input according to a preference structure. In both cases, total output production is guaranteed not to decrease. The two key features of the proposed models are their simplicity and the fact that both of them project all DMUs onto the efficient frontier. The dual formulation shows that optimizing total input consumption and output production is equivalent to finding weights that maximize the relative efficiency of a virtual DMU with average inputs and outputs. A graphical interpretation as well as numerical results of the proposed models are presented.     

A multi-component enhanced Russell measure of efficiency: With application to water supply plans

Public water providers aim at developing a water supply plan (WSP) that not only provides a reliable and satisfactory level of service but also is efficient in terms of performance. This paper deals with evaluating the performance of WSPs within the framework of multi-component data envelopment analysis. Specifically, we consider the overall performance of each WSP as a decision making unit (DMU) so that economic, social, hygienic, technological, managerial and environmental performances of the WSP make up independent components of the defined DMU. To assess the performance of a set of WPSs, we propose a multi-component enhanced Russell measure of efficiency that takes all sources of inefficiency into account. We show that the proposed measure can be decomposed into individual efficiency measures at component level. This decomposition much enhances the efficiency of computing the proposed measure, noting the fact that this measure is obtained by solving a single linear program. It also guarantees the proposed measure to inherit two important—unit invariance and strong monotonicity—properties of the conventional enhanced Russell measure. In our empirical study, we apply our model to evaluate the efficiency of 10 urban WSPs in Qom city of Iran. In line with experts’ practical opinions, our findings reveal that the (relatively) most efficient WSP is to construct a potable water network and separation of non-drinking water network for urban usage.     

Universal Pareto dominance and welfare for plausible utility functions

We study Pareto efficiency in a setting that involves two kinds of uncertainty: Uncertainty over the possible outcomes is modeled using lotteries whereas uncertainty over the agents’ preferences over lotteries is modeled using sets of plausible utility functions. A lottery is universally Pareto undominated if there is no other lottery that Pareto dominates it for all plausible utility functions. We show that, under fairly general conditions, a lottery is universally Pareto undominated iff it is Pareto efficient for some vector of plausible utility functions, which in turn is equivalent to affine welfare maximization for this vector. In contrast to previous work on linear utility functions, we use the significantly more general framework of skew-symmetric bilinear (SSB) utility functions as introduced by Fishburn (1982). Our main theorem generalizes a theorem by Carroll (2010) and implies the ordinal efficiency welfare theorem. We discuss three natural classes of plausible utility functions, which lead to three notions of ordinal efficiency, including stochastic dominance efficiency, and conclude with a detailed investigation of the geometric and computational properties of these notions.     

Shadow Price Approach to Total Factor Productivity Measurement: With an Application to Finnish Grass-Silage Production

This paper explores an intermediate route between the Fisher and the Malmquist productivity indexes so as to minimize data requirements and assumptions about economic behavior of production units and their production technology. Assuming quantity data of inputs and outputs and the behavioral hypothesis of allocative efficiency, we calculate the exact value of the Fisher ideal productivity index using implicit shadow prices revealed by the choice of input–output mix. The approach is operationalized by means of a nonparametric data envelopment analysis (DEA) model. Empirical application to Finnish grass silage farms suggests that the Malmquist and the Fisher productivity indices yield similar results when averaged over firms, but there can be major differences in the results of the two approaches at the level of individual firms.     

Organising the process of knowledge integration: the benefits of structural ambiguity

In this article we examine how loose coupling between units and people can benefit a firm's ability to combine and recombine knowledge-based resources continuously in a creative and flexible way. An in-depth study of Oticon A/S suggests that loose coupling can be deliberately brought into the design of the organisation by introducing a certain structural ambiguity into the configuration of role systems and authority relationships. In the first part of the paper, we show how loose coupling among units and people is a distinctive feature of the way Oticon organises its administrative activities. In the second, we explore the structural properties of a loosely coupled arrangement. We develop the concepts of multipolarity, fluidity and interconnectedness and we show how these properties conduce to an increase in the effectiveness, efficiency and flexibility of the processes of knowledge integration. Structural ambiguity is thus proposed as a viable design principle for organisations operating in hypercompetitive environment, where flexible knowledge integration represents a critical condition of survival.     

Asymptotically efficient recursive estimation for incomplete data models using the observed information

For a recursive maximum-likelihood estimator with step lengths decaying as 1/n, an adaptive matrix needs to be incorporated to obtain asymptotic efficiency. Ideally, this matrix should be chosen as the inverse Fisher information matrix, which is usually very difficult to compute for incomplete data models. In this paper we give conditions under which the observed information can be incorporated into the recursive procedure to yield an efficient estimator, and we also investigate the finite sample properties of these estimators by simulation.     

THE QUALITY AND EFFICIENCY OF PRIVATE AND PUBLIC EDUCATION: A CASE-STUDY OF URBAN INDIA†

Recent evidence of a substantial link between quality of schooling and individual productivity suggests that, from an economic efficiency perspective, quality aspects of education deserve attention. This paper presents empirical evidence on the relative quality and efficiency of private and government-funded schools in urban India, using data from Uttar Pradesh. The results suggest that standardizing for home background and controlling for sample selectivity greatly reduces the raw average achievement advantage of private school students over public school students, but does not wipe it out. Private schools' standardized achievement advantage (or better quality) is complemented by their lower unit costs to enable them to be more efficient. The results support much of the existing international evidence on the relative efficiency of private and public schools.     

Slack-adjusted efficiency measures and ranking of efficient units

In non-parametric methods many units are calculated as efficient. The article suggests a method for ranking efficient units, not by their efficiency, but by importance as benchmarks for the inefficient units, in contrast to earlier suggestions in the literature which rank units high if they are specialized. However, the total potentials for improvement frequently remain unrevealed by calculating radial efficiency measures of the Farrell type only. The article therefore first develops efficiency measures that explicitly extend the radial measures to include slacks. The new measures are applied to a typical multidimensional small-sample data set for Norwegian employment offices.     

Technical efficiency of for-profit and non-profit nursing homes

This paper employs data envelopment analysis to generate efficiency indices for individual nursing homes relative to a best-practice frontier. Further analysis then shows that these ‘unadjusted’ indices represent factors other than efficiency. Regression analysis purges the indices of these confounding influences. The resulting ‘adjusted’ efficiency indices demonstrate that for-profit homes have higher mean levels of efficiency and a more efficient production frontier than non-profit homes. These results support the property rights hypothesis that forprofit homes are inherently more efficient than non-profit ones.     

Stable cost sharing in production allocation games

Suppose that a group of agents have demands for some good. Every agent owns a technology which allows them to produce the good, with these technologies varying in their effectiveness. If all technologies exhibit increasing returns to scale (IRS) then it is always efficient to centralize production of the good, whereas efficiency in the case of decreasing returns to scale (DRS) typically requires to spread production. We search for stable cost allocations while differentiating allocations with homogeneous prices, in which all units produced are traded at the same price, from allocations with heterogeneous prices. For the respective cases of IRS or DRS, it is shown that there always exist stable cost sharing rules with homogeneous prices. Finally, in the general framework (under which there may exist no stable allocation at all) we provide a sufficient condition for the existence of stable allocations with homogeneous prices. This condition is shown to be both necessary and sufficient in problems with unitary demands.     

Multivariate regression models for panel data

The paper examines the relationship between heterogeneity bias and strict exogeneity in a distributed lag regression of y on x. The relationship is very strong when x is continuous, weaker when x is discrete, and non-existent as the order of the distributed lag becomes infinite. The individual specific random variables introduce nonlinearity and heteroskedasticity; so the paper provides an appropriate framework for the estimation of multivariate linear predictors. Restrictions are imposed using a minimum distance estimator. It is generally more efficient than the conventional estimators such as quasi-maximum likelihood. There are computationally simple generalizations of two- and three-stage least squares that achieve this efficiency gain. Some of these ideas are illustrated using the sample of Young Men in the National Longitudinal Survey. The paper reports regressions on the leads and lags of variables measuring union coverage, SMSA, and region. The results indicate that the leads and lags could have been generated just by a random intercept. This gives some support for analysis of covariance type estimates; these estimates indicate a substantial heterogeneity bias in the union, SMSA, and region coefficients.     

Efficient organization of information processing

The paper examines the application of the concept of economic efficiency to organizational issues of collective information processing in decision making. Information processing is modeled in the framework of the dynamic parallel processing model of associative computation with an endogenous setup cost of the processors. The model is extended to include the specific features of collective information processing in the team of decision makers which may lead to an error in data analysis. In such a model, the conditions for efficient organization of information processing are defined and the architecture of the efficient structures is considered. We show that specific features of collective decision making procedures require a broader framework for judging organizational efficiency than has traditionally been adopted. In particular, and contrary to the results available in economic literature, we show that there is no unique architecture for efficient information processing structures, but a number of various efficient forms. The results indicate that technological progress resulting in faster data processing (ceteris paribus) will lead to more regular information processing structures. However, if the relative cost of the delay in data analysis increases significantly, less regular structures could be efficient. Copyright © 2007 John Wiley & Sons, Ltd.     

基于B/S模式的集中采购方案的设计与实现

文章让集团的下属单位和部门的采购、进销存、结算等数据信息在一个集中的数据库内平台上运行,集团通过该平台进行集中管理采购商品,对整个采购环节进行管理和监控,为集团及时准确的掌握采购行为,及时作出采购决策,极大的发挥了规模优势,降低采购成本,提升企业的经济效益。     

Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation

Education is considered an important factor of economic growth, employment and social inclusion. However, the economic crisis has put the need to achieve educational goals in the most efficient way ever more to the fore. The main objective of this paper is to assess the spending efficiency of European compulsory educational systems, creating a ranking of countries based on the efficiency scores of their systems using a number of standard variables from the literature. To this end, we also present a methodological innovation that combines Data Envelopment Analysis (DEA) with discrete Multiple Criteria Evaluation (MCE), two methods that we consider complementary if used for providing a performance analysis. Moreover, both methods identify a set of common variables which are associated with higher levels of efficiency in educational systems (e.g. some characteristics of teachers, the stock of adults’ human capital and lower expenditures per student). The results show that findings using DEA are largely confirmed by MCE.