Estimation of market power in the presence of firm level inefficiencies

“The quiet life hypothesis” (QLH) by Hicks (1935) argues that, due to management’s subjective cost of reaching optimal profits, firms use their market power to allow inefficient allocation of resources. Increasing competitive pressure is therefore likely to force management to work harder to reach optimal profits. Another hypothesis, which also relates market power to efficiency is “the efficient structure hypothesis” (ESH) by Demsetz (1973). ESH argues that firms with superior efficiencies or technologies have lower costs and therefore higher profits. These firms are assumed to gain larger market shares which lead to higher concentration. Ignoring the efficiency levels of the firms in a market power model might cause both estimation and interpretation problems. Unfortunately, the literature on market power measurement largely ignores this relationship. In the context of a dynamic setting, we estimate the market power of US airlines in two city-pairs by both allowing inefficiencies of the firms and not allowing inefficiencies of the firms. Using industry level cost data, we estimate the cost function parameters and time-varying efficiencies. An instrumental variables version of the square root Kalman filter is used to estimate time-varying conduct parameters.     

基于“城房指数”的中国城市新建商品住房市场有效性研究

本文采用2006年1月至2009年8月我国10个大中城市“城房指数”数据,检验了新建商品住宅市场的有效性,结果显示市场无效是较为普遍的现象。进一步的研究说明,特定的市场参与者可以在无效市场中通过积极预测价格而获得更好的回报。但对一般投资者而言,由于目前调整持有房地产资产比例的投资行为将产生极高的交易费用,获得这一套利机会并不现实。如果未来我国资本市场上出现房地产衍生证券,该问题有可能得到解决,市场有效性也会得到提高。     

Organizational knowledge and the manufacturing strategy process: A resource-based view analysis

The current competitive environment is characterized by new sources of information, new technologies, new management practices, new competitors, and shorter product life cycles, which highlights the importance of organizational knowledge in manufacturing companies. We integrate some of those knowledge-based approaches seeking to understand how aspects related to cross-functional orientation, new technologies, and increasing access to information affect manufacturing strategy. In this paper, “know-what” (where to find the needed information) and “know-how” (how to run operations smoothly) are considered key components of organizational knowledge in the process of manufacturing strategy formulation. Assuming that knowledge accumulation may lead to competitive advantage, we propose a model of manufacturing strategy process from a resource-based view perspective. We used a survey to collect field data from 104 companies. The results indicate that cross-functional activities integrate manufacturing knowledge and contribute to the creation of valuable and rare product characteristics.     

The effect of housing and stock market wealth on consumption in emerging and developed countries

This study examines the long- and short-run relationship between private consumption, housing wealth, stock market wealth and income. In order to asses this relationship empirically, we use pooled mean group estimators of dynamic heterogeneous panel data on a sample of 30 developed and emerging economies. The sample countries are segmented into three separate panels: a developed bank-based panel, a developed market-based panel, and an emerging bank-based panel. Empirical estimates support the existence of long- and short-run stock market wealth effects in both groups of developed countries, with the effect being particularly strong in the developed market-based countries. A moderate long-run housing wealth effect is confirmed only for the developed bank-based countries, while a very strong short-run housing wealth effect is present in the developed market-based countries. As far as the emerging countries are concerned, the evidence is somewhat inconclusive, but it does seem to suggest that both wealth effects are effective in the long run, with housing wealth being more dominant.     

Short and long-run cost efficiency in Indian public bus companies using Data Envelopment Analysis

State Transport Undertakings (STUs) are key players in providing mass road transport in India. Given that they operate under high levels of government imposed regulatory constraints, it is imperative to study their efficiency levels. Given that capital is a relatively scarce resource in developing countries like India, it is important to obtain efficiency in the short-run where some inputs are fixed as well as over the long run, where all inputs are variable. The technique used for capturing efficiency is Data Envelopment Analysis (DEA). A key possible limitation of DEA models based on physical inputs and outputs is that for an inefficient firm, reduction in some or all inputs may be recommended. It may often be desirable for an inefficient firm to increase some less expensive inputs while reducing the use of relatively expensive ones. Hence, when market price data is available, it is advisable to use the cost variant of DEA. Also, it is possible to determine variable cost efficiency in the short run when some inputs cannot be varied. Such inputs are referred to as “quasi-fixed” inputs. In this paper, we examine short and long term efficiencies of select bus companies in India known as State Transport Undertakings (STUs) over a period of 10 years. Fleet strength has been used as the quasi-fixed input. It is possible to ascertain, through a comparison of shadow price of the quasi-fixed input, vis-à-vis its market price, as to whether the quantity of this input is sub-optimally small or large. It is found that by adopting efficiency enhancing practices, STUs can cumulatively reduce their operating costs to the extent of 9123.35 million dollars. Also the tendency to minimize costs is found to be declining over time. In the short run some STUs are found to operate with a sub optimally low fleet size.     

Two state capital accumulation with heterogenous products: Disruptive vs. non-disruptive goods

The paper considers the problem of a firm that, while producing a standard product, has the option to introduce an innovative product. The innovative product competes with the standard product and will therefore reduce revenues of the standard product. A distinction is made between innovative products that do or do not become even more relatively appealing as their market share grows (e.g., because of network externalities). It is shown that in the former case, which we call a “disruptive” good, history dependent long run equilibria can occur, which are in line with recent real life economic examples.     

我国房地产上市公司X效率测算与统计分析——基于随机前沿方法

为了解我国房地产企业的技术和内部管理等X效率水平,选取38家房地产上市公司为样本,采用随机前沿方法,结合房地产企业及产品特点最选取指标、设定变量和收集数据,测算并统计分析2005—2011年样本公司的x效率。结果显示（1）2005-2011年我国房地产上市公司X效率均值在0．75左右,各年波动较小,各公司间差异较小且呈降低趋势;（2）不同资产规模的房地产上市公司X效率有明显差异,国有控股房地产上市公司的x效率总体高于民营控股公司,业务布局于10城市以下的房地产上市公司X效率总体高于布局于10城市及以上的公司。     

External resources and economic growth: New evidence from EAGLE countries using PMG framework

This study attempts to explore the relationship between economic growth and external resources in the case of emerging and growth-leading economies (EAGLE). Among these economies, a panel of eight countries was studied over the period of 1986–2014. Empirical analyses were performed using panel cointegration and pooled mean group framework. Our findings support positive long- and short-run relationships between imports and gross domestic product (GDP). The results also reveal a negative and significant long-run relationship between foreign direct investment and GDP, whereas no significant evidence has been noted for the short run. Moreover, remittances in EAGLE countries have failed to justify any contribution to GDP in both long and short runs.     

Improving operational performance by influencing shopfloor behavior via performance management practices

It is generally believed that companies applying performance management practices outperform those that do not measure and manage their performance. Studies examining the link between performance management and performance improvement implicitly assume that performance management affects behavior of individuals in an organization, which then facilitates the achievement of organizational goals. This study takes a step towards understanding this implicit assumption. We investigate how performance management practices relate to improvement in performance by influencing behavior of individuals. We focus on operational performance management, i.e. the definition and use of performance measures on the shopfloor in production and distribution. We use a survey among 102 companies to identify the relations between performance management practices, shopfloor behavior and improvement in performance. We identified three independent clusters of operator behavior that positively correlate with performance improvement: “Understanding”, “Motivation” and “Focus on Improvement”. We show that 17 out of the 20 performance management practices found in literature have a significant and positive relation with one or more clusters of operator behavior. We furthermore found that there is a positive correlation between the number of performance management practices applied and performance improvement, suggesting that it is not only which practices are applied but also how many. Recommendations emerging from this study enable managers to identify which behavioral changes are desired to improve performance and to select those performance management practices that positively influence the desired behavior.     

Growth and convergence: A profile of distribution dynamics and mobility

In this paper we focus primarily on the dynamic evolution of the world distribution of growth rates in per capita GDP. We propose new concepts and measures of “convergence,” or “divergence” that are based on entropy distances and dominance relations between groups of countries over time.     

Decomposition of cost efficiency and its application to Japanese-US electric utility comparisons

This paper presents a new formula for decomposing cost efficiency into technical, price, and allocative efficiencies in an environment marked by the fact that unit input prices differ among certain enterprises. We employed this formula in comparing cost efficiency between Japanese and US electric power companies, and found a significant difference in the price-based efficiency. However, negligible differences were found in the technical and allocative efficiencies.     

On the “Lock-In” Effects of Capital Gains Taxation

The most important drawback of a tax on realized capital gains is its “lock-in” effect. This paper uses a simple land development model to examine the distortion that the lock-in effect generates. A surprising result is that the lock-in effect does not arise if the basis for the capital gains tax (usually the price at which the current owner acquired the land) is sufficiently high. Rather than delaying the sale, the owner sells the land as soon as possible even if the land will be developed much later. In this case, the capital gains tax creates no “real” distortion because it does not affect the development time. In particular, if the basis is the price formed under perfect foresight, the lock-in effect never arises.     

Defining Eco‐efficiency: A Case Study on the Finnish Forest Industry

Environmental reporting is a tool of corporate environmental management that can also be used as research material. The aim of this paper is to produce a comprehensive definition of eco‐efficiency based on the literature and then compare it with definitions identified in the environmental reports published by selected companies. In addition, this paper presents a conceptual framework of the relationship between environmental and economic performance in the companies. Three Finnish companies in the forest industry are selected as case companies. This analysis reviews environmental reports published by the companies from 1998 to 2007. In short, eco‐efficiency can be seen either as an indicator of environmental performance, or as a business strategy for sustainable development. The case companies very seldom give an exact definition of eco‐efficiency in their environmental reports. However, different aspects of eco‐efficiency are often referred to. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.     

The wisdom of crowds: The potential of online communities as a tool for data analysis

Online communities have become an important source for knowledge and new ideas. This paper considers the potential of crowdsourcing as a tool for data analysis to address the increasing problems faced by companies in trying to deal with “Big Data”. By exposing the problem to a large number of participants proficient in different analytical techniques, crowd competitions can very quickly advance the technical frontier of what is possible using a given dataset. The empirical setting of the research is Kaggle, the world?s leading online platform for data analytics, which operates as a knowledge broker between companies aiming to outsource predictive modelling competitions and a network of over 100,000 data scientists that compete to produce the best solutions. The paper follows an exploratory case study design and focuses on the efforts by Dunnhumby, the consumer insight company behind the success of the Tesco Clubcard, to find and lever the enormous potential of the collective brain to predict shopper behaviour. By adopting a crowdsourcing approach to data analysis, Dunnhumby were able to extract information from their own data that was previously unavailable to them. Significantly, crowdsourcing effectively enabled Dunnhumby to experiment with over 2000 modelling approaches to their data rather than relying on the traditional internal biases within their R&D units.     

Cost efficiency and value driver analysis of insurers in an emerging economy

This study investigated cost inefficiencies and its relationship with value drivers of insurers in United Arab Emirates (UAE). The study revealed that there were 21–33% cost inefficiencies in these insurers under different model specifications of stochastic frontier and DEA; value drivers such as lower leverage risk, lower capital risk significantly improved cost efficiencies consistent with Basel II norms; ROE positively influenced cost efficiencies with further trade off between increased profit margin, decreased asset utilization and/or reduced equity multiplier by the insurer managements to achieve a target‐ROE; and the trend of cost efficiency was improving during 2000–2004. The study suggests that stock insurers could overcome their cost inefficiencies through adoption of efficient measures such as risk mapping of clients, risk prioritization besides ALM techniques. The study has direct implications for individual and institutional investors in making their portfolio investment decisions in insurance sector, policymakers, and regulators to closely monitor inefficient insurers consistent with Basel II norms. Copyright © 2008 John Wiley & Sons, Ltd.     

An Efficiency Comparison of European Banking Systems Operating under Different Environmental Conditions

The paper investigates the operating efficiency differences of a sample of commercial banks across 10 European countries. First, the paper analyzes the technical efficiency of each country sample following the basic Data Envelopment Analysis (DEA) model incorporating only banking variables. Then, a complete DEA model is introduced, incorporating environmental factors together with the banking variables of the basic model. The comparison between the two models shows that country-specific environmental conditions exercise a strong influence over the behavior of each country's banking industry.     

Estimating efficiencies from frontier models with panel data: A comparison of parametric,non-parametric and semi-parametric methods with bootstrapping

The aim of this article is first to review how the standard econometric methods for panel data may be adapted to the problem of estimating frontier models and (in)efficiencies. The aim is to clarify the difference between the fixed and random effect model and to stress the advantages of the latter. Then a semi-parametric method is proposed (using a non-parametric method as a first step), the message being that in order to estimate frontier models and (in)efficiences with panel data, it is an appealing method. Since analytic sampling distributions of efficiencies are not available, a bootstrap method is presented in this framework. This provides a tool allowing to assess the statistical significance of the obtained estimators. All the methods are illustrated in the problem of estimating the inefficiencies of 19 railway companies observed over a period of 14 years (1970–1983).Article presented at the ORSA/TIMS joint national meeting, Productivity and Global Competition, Philadelphia, October 29–31, 1990. An earlier version of the paper was presented at the European Workshop on Efficiency and Productivity Measurement in the Service Industries held at CORE, October 20–21, 1989. Helpful comments of Jacques Mairesse, Benoît Mulkay, Sergio Perelman, Michel Mouchart, Shawna Grosskopf and Rolf Färe, at various stages of the paper, are gratefully acknowledged.     

Structural vs. atheoretic approaches to econometrics

In this paper I attempt to lay out the sources of conflict between the so-called “structural” and “experimentalist” camps in econometrics. Critics of the structural approach often assert that it produces results that rely on too many assumptions to be credible, and that the experimentalist approach provides an alternative that relies on fewer assumptions. Here, I argue that this is a false dichotomy. All econometric work relies heavily on a priori assumptions. The main difference between structural and experimental (or “atheoretic”) approaches is not in the number of assumptions but the extent to which they are made explicit.     

Advances in physician profiling: the use of DEA

Insurers, health plans, and individual physicians in the United States are facing increasing pressures to reduce costs while maintaining quality. In this study, motivated by our work with a large managed care organization, we use readily available data from its claims database with data envelopment analysis (DEA) to examine physician practices within this organization. Currently the organization evaluates primary care physicians using a profile of 16 disparate ratios involving cost, utilization, and quality. We employed these same factors along with indicators of severity to develop a single, comprehensive measure of physician efficiency through DEA. DEA enabled us to identify a reference set of “best practice” physicians tailored to each inefficient physician. This paper presents a discussion of the selection of model inputs and outputs, the development of the DEA model using a “stepwise” approach, and a sensitivity analysis using superefficiency scores. The stepwise and superefficiency analyses required little extra computation and yielded useful insights into the reasons as to why certain physicians were found to be efficient. This paper demonstrates that DEA has advantages for physician profiling and usefully augments the current ratio-based reports.