Benchmarking Labour Market Performances and Policies

The recent EU initiatives on employment policy and the “Luxembourg employment strategy” underscore the relevance of benchmarking as an instrument for improving labour market performance and labour policy effectiveness. This paper presents the major results of a research project aimed at exploring the application of benchmarking techniques to convergence between the European labour markets. After synthetically describing the development of benchmarking techniques in the private and the public sectors, the paper addresses the crucial question of defining labour market performance and presents the possibility of creating labour market performance and policy benchmarks through the construction of efficiency frontiers. A second possibility explored is the radar-chart approach, a presentation technique that allows both for single dimension and overall performance monitoring. The paper then faces the problem of broadening the scope of benchmarking from the identification of benchmarks to the understanding of performance gaps through more comprehensive analytical tools. In this area, useful contributions are provided by the employment systems and the transitional labour markets approaches. The concluding section stresses the role of normative decisions, as well as the possible political challenges implied by a thorough application of benchmarking techniques to labour market convergence.     

Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks

The great majority of applications of the popular frontier technique data envelopment analysis (DEA) do not test for the association of efficiency estimates with key performance indicators used by industry observers. Nevertheless, identifying efficiency estimates’ associations with commonly accepted financial measures of performance could guide benchmarking activities, pricing decisions, and regulatory monitoring. Thus, the current paper investigates to what extent bank DEA super-efficiency estimates are associated with key financial ratios. A low correlation may present an opportunity to address inefficiencies that were not obvious in financial ratio analysis, thus enabling an update of inferences drawn from ratios. Regressing ratios on efficiency estimates may also help predict financial ratios. Where an input–output specification is comprised of key financial ratios, DEA can also be used to objectively identify benchmarks for ratio analysis based on actual observed data collected from peers. Nine super-efficiency DEA formulations across two profitability models are systematically tested. The slacks-based measure of DEA with a parsimonious profitability efficiency model emerges as the most significant combination explaining the variation in the two industry ratios, post-tax profit/average total assets and return on average equity.     

基于双前沿面数据包络分析的循环全局Malmquist指数

利用全部时期的技术构成的前沿面为参照,将双前沿面数据包络分析下的Malmquist指数拓展为双前沿面数据包络分析下的全局Malmquist指数。该全局Malmquist指数不仅较好地综合了乐观前沿面和悲观前沿面两部分信息,而且满足循环性检验;不仅可以避免由于前沿面选择的不同而导致的差异,还可以避免因时期选择的任意性而导致的差异。将其用于福建省工业行业2001-2008年的全要素生产率分析,研究结果较好地说明了该方法的有效性和实用性。     

Cross-benchmarking for performance evaluation: Looking across best practices of different peer groups using DEA

In benchmarking, organizations look outward to examine others’ performance in their industry or sector. Often, they can learn from the best practices of some of them and improve. In order to develop this idea within the framework of Data Envelopment Analysis (DEA), this paper extends the common benchmarking framework proposed in Ruiz and Sirvent (2016) to an approach based on the benchmarking of decision making units (DMUs) against several reference sets. We refer to this approach as cross-benchmarking. First, we design a procedure aimed at making a selection of reference sets (as defined in DEA), which establish the common framework for the benchmarking. Next, benchmarking models are formulated which allow us to set the closest targets relative to the reference sets selected. The availability of a wider spectrum of targets may offer managers the possibility of choosing among alternative ways for improvements, taking into account what can be learned from the best practices of different peer groups. Thus, cross-benchmarking is a flexible tool that can support a process of future planning while considering different managerial implications.     

Identifying traffic safety best practice: an application of DEA and Malmquist indices

DEA is used in this paper to investigate target achievements of the operational units of the Norwegian Public Roads Administration (NPRA) charged with traffic safety services. The DEA framework applied corresponds to a BCC model with a unique constant input, or equivalently, with no inputs. This framework is further extended to a DEA-based Malmquist index to measure productivity growth in target achievements. Finally, we use a bootstrapping method to ascertain confidence intervals for efficiency scores derived and to test hypotheses on the extent of productivity growth or regress. The mean efficiency scores by which targets are achieved across the sample years are in the range 0.81–0.93 and significant at the 5% level. Total productivity in target achievements shows progress with significance, on average at 7%. Much of the progress is attributed to technological progress. The results illustrate the usefulness of using a decomposable index for productivity measurement, and the use of bootstrapping for sensitivity tests.     

Du pont decision support system (DSS) for expenditure budgeting

The objective of this project is to develop a decision support system (DSS) for expenditure budgeting. The system will support current expenditure budgeting according to the same principles as the fixed expenditure (capital) budgeting. The framework of the analysis is based on an ex ante version of the traditional (ex post) du Pont system presenting the profitability of the firm as a function of asset turnover and profit margin. The present approach depicts the relationships between sales and the alternative classes of expenditure, expenses and assets by means of a mathematical model expressed as a DSS in an EXCEL spreadsheet framework. The model assumes that the average absorption time and revenue lag structure for expenditure classes are constant in time. However, the monetary productivity of expenditures is a second-order parabola of the amount of expenditure. The use of the model is demonstrated in two illustrative cases (SIEMENS and ABB) using published financial statement data. The estimation of the revenue function is based on an interactive analysis and simulation with past data.     

Harnessing Diversity and Collective Action in the Top Management Team

Diversity has become an important issue at all levels of the company from the boardroom to the back office. It is increasingly apparent that diversity is vital to productivity, with academic research indicating an important link between diverse top management team (TMT) composition and corporate performance. However, the nature of this link remains elusive, as there is little accessible research that can help top teams to evaluate how diversity impacts on their strategic capacity. This paper seeks to fill this gap by developing a conceptual framework, illustrated with case examples, to explain the relationships between TMT diversity and TMT collective action. As collective action is difficult to attain from top teams that are high in diversity, six practical processes are developed from this framework for establishing and exploiting top team strategic capacity. The paper concludes by outlining the theoretical implications of the framework.

It is the range of skills and attributes acquired through a diversity of experiences and backgrounds that combine to create a cohesive and effective board.¹

     

Assessment of systemic greenness: a case study of tyre manufacturing unit

Abstract

In this paper, we develop an assessment framework to evaluate the systemic greenness of a tyre manufacturing unit by capturing the interactions between the green practices implemented. By reviewing the existing literature, we propose a stakeholder-based green practices framework comprising of operation strategy practices, process practices, employee practices, regulatory practices, customer practices, competition practices, social practices, and supplier practices. The empirical data on the interactions of green practices between and within stakeholders are collected by conducting a detailed case study of a large radial tyre manufacturing unit in India. We use graph-theoretic approach to incorporate the interactions between different green practices and assess the systemic greenness of the case organisation. Based on the systemic greenness attained, we rank the green practices within stakeholders and also between the stakeholders. We conduct scenario analysis to develop a systemic greenness index and a scale to assist practitioners in evaluating and benchmarking the greenness performance. We also discuss implications for theory and practice along with the inherent limitations.     

An adaptive multistart tabu search approach to solve the maximum clique problem

Given an undirected graph G=(V,E) with vertex set V={1,…,n} and edge set E?V×V. The maximum clique problem is to determine in G a clique (i.e., a complete subgraph) of maximum cardinality. This paper presents an effective algorithm for the maximum clique problem. The proposed multistart tabu search algorithm integrates a constrained neighborhood, a dynamic tabu tenure mechanism and a long term memory based restart strategy. Our proposed algorithm is evaluated on the whole set of 80 DIMACS challenge benchmarks and compared with five state-of-the-art algorithms. Computational results show that our proposed algorithm attains the largest known clique for 79 benchmarks.     

The design of socially optimal decisions in a consensus scenario

Several situations of conflict between basic social principles can crop up during a consensus searching process. The majority principle and respect for minority groups is a possible example of a conflictive situation between two social principles. In this paper, we outline a specific consensus searching scenario, where individual preferences are expressed by “pairwise” comparison matrices. The set of compromise consensuses between the majority and minority principles is determined using a procedure based upon an adaptation of Yu's p-metric distances. Finally, we use three different theoretical approaches – utility theory, p-metric distance functions and bargaining theory – to obtain the social optimum from the set of compromise consensuses. The links and differences among the three approaches are analysed. Finally, the working of the proposed theoretical framework is illustrated with the help of a forestry case study.     

A multicriteria outranking approach for modeling corporate credit ratings: An application of the Electre Tri-nC method

Corporate credit ratings are widely used in financial services for risk management, investment, and financing decisions. In this study, the use of a recently developed multicriteria outranking approach, namely the Electre Tri-nC method, is examined for constructing internal credit rating models in an expert-based judgmental framework. The models are constructed in a multicriteria classification (sorting) setting and the results are analyzed in terms of their internal properties as well as their deviations from risk rating categories defined by rating agencies (i.e. external benchmarking). A simulation/scenario analysis is conducted to examine the results and performance of the outranking models in relation to their parameters. Empirical results are provided for a sample of European firms rated by three leading rating agencies.     

Total factor productivity and shareholder returns in banking

This paper examines shareholder value drivers in European banking focusing on the efficiency and productivity features of individual banks. In particular, we analyse the value relevance of bank cost efficiency and total factor productivity (TFP) (in all its components, including technological change, pure technical efficiency change and scale efficiency change) to see how these influence shareholder value creation in European banking. The paper focuses on the French, German, Italian and U.K. banking systems over the period 1995–2002 and includes both listed and non-listed banks. We find that TFP changes best explain variations in shareholder value (measured by market-adjusted returns, MAR, for listed banks and by the ratio of EVA_bkg to invested capital at time t−1 for non-listed banks). In both samples, we also find that technological change seems to be the most important component of TFP influencing shareholder value creation in European banking.     

Productivity Growth in the Lisbon Police Force

This paper estimates total productivity change with regard to the Lisbon Police Force and decomposes it into technically efficient change and technological change with data envelopment analysis (DEA). The benchmarking procedure implemented is an internal benchmarking, in which police precincts are compared against each other. The aim of this procedure is to seek out those best practices that will lead to improved performance throughout the whole force. We rank the precincts according to their total productivity change for the period 2000–2001, concluding that some precincts experienced productivity growth while a small number experienced productivity decrease. Economic implications arising from the study are considered.     

Using Malmquist Indexes to measure changes in the productivity and efficiency of US accounting firms before and after the Sarbanes–Oxley Act

There have been many criticisms of the Sarbanes–Oxley (SOX) Act passed in July of 2002 to correct business accountability and performance practices. The act has a major emphasis on accounting and its practices. This paper attempts a response to these criticisms by investigating changes in productive efficiency for 62 of the largest US public accounting firms between the periods (2000–2001) and (2003–2004)—the periods before and after enactment of SOX in July of 2002. DEA is used to calculate Malmquist indexes of productivity and efficiency changes. This index is used because it can distinguish between changes in technical efficiency, which limit the possibilities, and changes in the performance efficiencies for each firm. Contrary to many of the criticisms, results indicate that accounting firms have exhibited significant post SOX growth in productive efficiency which is better than pre-SOX performances.     

Towards a theoretical clarification of the ‘spillover’ and ‘compensatory’ work/leisure hypotheses

Two thorny problems have attracted the interest of work/leisure researchers in recent years: (1) the failure of previous research to clearly isolate the relationship between work and non-work from the effects of other confounding variables, and (2) a widespread failure to distinguish between the meanings that people attribute to work (and non-work) and the forms of work (and non-work) people perform. The argument for phenomenological research is made; in this way, empirically-grounded ‘common sense’ definitions of work and leisure could be created and these definitions could be used as a solid research base to test ‘spillover’ and ‘compensatory’ theories of the work/leisure relationship. The author then demonstrates, through the development of an analytic framework for viewing the work/leisure relationship, the fact that ‘compensatory’ and ‘spillover’ hypotheses are potential alternative modes of explanation. Unless the conditions under which each might apply can be specified, one or the other hypothesis can explain a given empirical relationship between the two variables. This further supports the need for solid phenomenological research.     

OPTIMAL TAXATION WITH IMPERFECT COMPETITION AND AGGREGATE RETURNS TO SPECIALIZATION

In this article we explore the proposition that, in economies with imperfect competitive markets, the optimal capital income tax is negative and the optimal tax on firms' profits is confiscatory. We show that if the total factor productivity as well as the number of firms or varieties are endogenous instead of fixed, then the optimal fiscal policy can lead to different results. The government faces a trade‐off between the fixed costs that society pays for the introduction of a new firm and the productivity gains associated to the introduction of a new variety. We find that the optimal fiscal policy depends on the relationship between the index of market power, the returns to specialization, and the government's ability to control entry. (JEL: H21, H30, E62)     

Taiwan quality indicator project and hospital productivity growth

The Taiwan Quality Indicator Project (TQIP) is a quality management program that measures and monitors the healthcare quality of hospitals in Taiwan. This paper examines the impact of TQIP participation on hospital productivity growth with the application of the Malmquist productivity change index based on data envelopment analysis (DEA). Analyzing operations data from 31 TQIP regional hospitals over the period 1998–2004, we find that TQIP hospitals improved their productivity in the post-TQIP period. This improvement is attributable to quality change and relative efficiency progress. The simultaneous enhancement in both quality and relative efficiency coincides with the philosophy of total quality management (TQM) spirit, and confirms the efficiency improvement and quality assurance functions of TQIP.     

Multi-horizon Markowitz portfolio performance appraisals: A general approach

This article extends the analysis of multi-horizon mean-variance portfolio analysis in the Morey and Morey [Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking. Omega 1999;27:241–58] article in several ways. First, instead of either proportionally contracting risk dimensions or proportionally expanding return dimensions, a more general efficiency measure simultaneously attempts to reduce risk and to expand return over all time periods. Second, a duality relation is established between this generalized multi-horizon efficiency measure and an indirect mean-variance utility function, underscoring the natural interpretation of this generalized efficiency measure in terms of investor's preferences. Furthermore, the need to properly apply time discounting in multi-horizon mean-variance portfolio problems is argued for. An empirical illustration based on the original mutual fund data set in Morey and Morey [Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking. Omega 1999;27:241–58] is added to contrast the new and the original approaches.     

Pathways to productivity improvement

A study of productivity in the Machine Tool industry has just been published by the Engineering Employers Federation (EEF). As a member of the Productivity Steering Group, information was available to one of the authors, in an unusually detailed and validated form for the twenty or so individual companies, (though they remain anonymous). It was thought worthwhile to apply methods developed in the Economics and Statistics Department of British Aerospace to this data in order to give pointers to the factors explaining productivity differences. The particular methods referred to were those of the Diagnostic Chart, though considerably simplified to match the data available, and multiple regression analysis. Particular care is necessary in applying the latter technique in productivity analysis if spurious results are to be excluded. The conclusions were as follows: the most favoured path to improved productivity is via increased turnover; changes in productivity are reflected mainly in changes in the ‘profit’ element of value added rather than in the labour cost element; the major factor distinguishing low from high productivity companies is an excess of the manual work force in relation to turnover; increased fixed assets favours increased labour productivity; increased commitment to R & D favours increased labour productivity; these conclusions are, of course, deduced from a study of the machine tool industry in particular, but may well be of applicability to other industries.