DEA of financial statements data: The U.S. computer industry

DEA (data envelopment analysis) is a technique for determining the efficiencyfrontier (the envelope) to the inputs and outputs of a collection of individual corporations or other productive units. DEA is here employed to estimate the intertemporal productive efficiency of U.S. computer manufactures, using financial data brought from earnings statements and balance sheets. The results indicate that a few corporations, including Apple Computer Inc., Compaq Computer Corp., and Seagate Technology were able to stay at the productivity efficiency frontier throughout the time period investigated. But not all successful corporations did; sometimes subefficiency (=disequilibrium) actually goes together with very rapid growth. A new Malmquist type productivity index is calculated for each corporation, measuring shifts of the estimated intertemporal efficiency frontier.     

An Integrated Assessment of Productivity and Efficiency Impacts of Information Technology Investments: Old Data,New Analysis and Evidence

We reexamine the Information Technology (IT) productivity paradox from the standpoints of theoretical basis, measurement issues and potential inefficiency in IT management. Two key objectives are: (i) to develop an integrated microeconomic framework for IT productivity and efficiency assessment using developments in production economics, and (ii) to apply the framework to a dataset used in prior research with mixed results to obtain new evidence regarding IT contribution. Using a stochastic frontier with a production economics framework involving the behavioral assumptions of profit maximization and cost minimization, we obtain a unified basis to assess both productivity and efficiency impacts of IT investments. The integrated framework is applied to a manufacturing database spanning 1978–1984. While previous productivity research with this dataset found mixed results regarding the contribution from IT capital, we show the negative marginal contribution of IT found in an important prior study is attributable primarily to the choices of the IT deflator and modeling technique. Further, by ignoring the potential inefficiency in IT investment and management, studies that have reported positive results may have significantly underestimated the true contribution of IT. This positive impact of IT is consistent across multiple model specifications, estimation techniques and capitalization methods. The stochastic production frontier analysis shows that while there were significant technical, allocative and scale inefficiencies, the inefficiencies reduced with an increase in the IT intensity. Given that the organizational units in our sample increased their IT intensity during the time period covered by the study, management was taking a step in the right direction by increasing the IT share of capital inputs. Our results add to a small body of MIS literature which reports significant positive returns from IT investments.     

Regional variation in productivity: a study of the Danish economy

We develop a model of labor productivity as a combination of capital-labour ratio, vintage of capital stock, regional externalities, and total factor productivity (TFP). The skewness of TFP distribution is related to different growth theories. While negative skewness is consistent with the neo-Schumpeterian idea of catching up with leaders, zero skewness supports the neoclassical view that deviations from the frontier reflect only idiosyncratic productivity shocks. We argue that positive skewness is consistent with an economy where exogenous technology is combined with non-transferable knowledge accumulated in specific sectors and regions. This argument provides the framework for an empirical model based on stochastic frontier analysis. The model is used to analyse regional and sectoral inequalities in Denmark.

A Cost Indirect Evaluation of Productivity Change in UK Universities

The study provides an empirical analysis of productivity change in publicly-funded UK universities, against a background of government policy specifically designed to enhance the productive efficiency of universities in the provision of teaching and research. The nonparametric analysis employs a cost indirect approach to measuring productivity change, taking explicit account of the quality of research output and decomposing productivity change into technical change and efficiency change. The latter is also decomposed into changes in pure technical efficiency, scale efficiency and output congestion. Changes in size efficiency are also computed. On average, productivity declined by 4% over 1989–92, mainly as a result of regressive technical change. Evidence of biased technological change was found, with the frontier shifting out in favour of the teaching outputs and in relative to the research output.     

The Effect of Import Competition on Firm Productivity and Innovation: Does the Distance to Technology Frontier Matter?

How does foreign competition affect growth and innovation in China? Using our unique measures of proximity of Chinese firms and industries to the world technology frontier, we find that despite vast sectoral heterogeneity, Chinese manufacturing industries have undergone rapid technological upgrading over the period of 2000–06. The distance to the world production frontier of firms and industries plays an important role in shaping the nexus between the competition pressure from foreign imports and domestic firms' growth and innovation behaviour. Our results support the theoretical predictions of Aghion et al. (2005, The Quarterly Journal of Economics, pp. 701–728) that import competition stimulates the domestic firms' productivity growth and R&D expenditure if firms and their industries are close to the world frontier, but discourages such incentives for laggard firms and industries. The two forces highlighted by the model operate for imports under the ordinary‐trade regime, for collective and private firms, and for imports originated from high‐income countries. Our findings are robust after controlling the influence of foreign investment, the reverse causality of regressors and the short‐term business cycle fluctuations.     

Environmental regulation,total factor productivity,and enterprise duration: Evidence from China

Environmental regulation has been confirmed to have an important impact on enterprise productivity, which is regarded as a crucial factor of enterprise duration. However, existing studies have paid little attention to how environmental regulation affects enterprise duration. Using firm‐level data from the Chinese Industrial Enterprises Database (2003–2007) and the stochastic frontier analysis method, we estimate enterprise total factor productivity (TFP) and its four decomposed components (scale efficiency change, technological change, factor allocation efficiency change, and technical efficiency change). Meanwhile, we adopt a comprehensive index to measure the environmental regulation intensity. Furthermore, we use the linear probability model and the proportional hazards model to investigate the effect of environmental regulation on enterprise duration through the mediating role of enterprise TFP. The results show that although environmental regulation per se negatively impacts on enterprise duration, environmental regulation can present a synthetic positive effect on enterprise duration due to its positive effect on enterprise TFP. Specifically, environmental regulation significantly mitigates the scale efficiency and technical efficiency of regulated enterprises. It also stimulates regulated enterprises' technological innovation and improves their factor allocation efficiency. In addition, state‐owned and large‐scale enterprises are more malleable when facing environmental regulations. We propose that the government should encourage enterprises to innovate and improve the allocation efficiency of production factors, so as to achieve the purpose of controlling environmental pollution in stages while extending enterprise duration.     

A Study on the Productivities of IT Capital and Computer Labor: Firm-level Evidence from Taiwan’s Banking Industry

The current paper extends the non-neutral stochastic frontier production function—which belongs to the class of a one-step procedure as defined by Wang and Schmidt (2002) and developed by Huang and Liu (1994)—from a cross-sectional setting to a panel data modeling. Using a newly-surveyed dataset from Taiwan’s commercial banks on their investments in information and communication technologies (IT), I find that IT capital and computer labor tend to exhibit higher productivities than their non-IT and non-computer counterparts, that IT capital has positive impacts on the marginal productivities of computer labor and borrowed funds, and that the mean technical efficiency is around 87.7%. Evidence is found that the total factor productivity of the banking sector grew at an average rate of 0.28% per annum, albeit fluctuating, for the past 8 years.     

Applying efficiency measurement techniques to the measurement of productivity change

Deterministic frontier analysis (DFA), stochastic frontier analysis (SFA), and data envelopment analysis (DEA) are alternative analytical techniques designed to measure the efficiency of producers. All three techniques were originally developed within a cross-sectional context, in which the objective is to compare the efficiencies of producers. More recently all three techniques have been extended for use in a panel data context. In the latter context it is possible to measure productivity change, and to decompose measured productivity change into its sources, one of which is efficiency change. However when efficiency measurement techniques, particularly SFA, have been applied to panel data, it has infrequently been made clear what the objective of the analysis is: the measurement of efficiency, which may vary through time as well as across producers, or the measurement and decomposition of productivity change. In this paper I explore the use of each technique in a panel data context. I find DFA and DEA to have achieved a more satisfactory reorientation toward productivity measurement than SFA has.     

A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies

This paper uses Bayesian stochastic frontier methods to measure the productivity gap between Poland and Western countries that existed before the beginning of the main Polish economic reform. Using data for 20 Western economies, Poland and Yugoslavia (1980–1990) we estimate a translog stochastic frontier and make inference about individual efficiencies. Following the methodology proposed in our earlier work, we also decompose output growth into technical, efficiency and input changes and examine patterns of growth in the period under consideration. This revised version was published online in July 2006 with corrections to the Cover Date.     

The effects of match uncertainty and bargaining on labor market outcomes: evidence from firm and worker specific estimates

In this paper we examine wage dispersion in labor markets across currently employed workers. We argue that differences in the potential productivity of a match (typically assumed to be known in the previous literature) generates a surplus between the minimum wage the worker is willing to accept and the maximum wage the firm is willing to offer for the job. Existence of this surplus leads to wage dispersion due to negotiating over the amounts extracted by each agent. Our objective is to estimate the surplus extracted by each firm-worker pair and the effect of the net extracted surplus on the wage, for each firm-worker pair using the two-tier stochastic frontier model. An empirical application finds that, on average, firms paid workers less than their expected productivity. More specifically, at the mean, the net effect of productivity uncertainty leads to equilibrium wages which are 3.33% below the expected productivity of matches.

A new decomposition and interpretation of Hicks-Moorsteen productivity index for analysis of Stock Exchange companies: Case study on pharmaceutical industry

This paper deals with the productivity index based on Hicks-Moorsteen (HM) productivity index for analysis of Stock Exchange firms. In this paper, a decomposition of Hicks-Moorsteen productivity index is provided that uses data envelopment analysis (DEA) models. On the other hand, it is offered a new interpretation and decomposition for components of HM productivity index that in previous studies were not performed any interpretation of it. These components have named the output production and the input consumption in terms of changing the efficiency frontier. In addition, by comparing the components of HM productivity index and productivity value, the optimal values of output production and input consumption are determined. Also, the analysis is determined how to identify the optimal value of a firm over a period of time. The proposed approach is applied to 26 pharmaceutical manufacturers that are from Tehran Stock Exchange. Data have been collected for six consecutive years (2009–2014) and have been considered financial ratios for evaluating companies. The results show that the Hicks-Moorsteen productivity index is more able to provide managerial aspects than other productivity indexes such as the Malmquist productivity index.     

Estimating global frontier shifts and global Malmquist indices

The Malmquist index is a measure of productivity changes, of which an important component is the frontier shift or technological change. Often technological change can be viewed as a global phenomenon, and therefore individual or local measures of technological changes are aggregated into an overall measure, traditionally using geometric means. In this paper we propose a way of calculating global Malmquist indices and global frontier shift indices which provides a better estimation of the true frontier shift and furthermore is easy to calculate. Using simulation studies we show how this method outperforms the traditional aggregation approach, especially for sparsely populated production possibility sets and for frontiers that also change shape over time. Furthermore, our global indices can be used for unbalanced panels without disregarding any information. Finally, we show how the global indices are meaningful for calculating differences between frontiers from different groups rather than different time periods as illustrated in a small case study of bank branches in different countries.      

A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach

This paper applies a stochastic frontier production model to Korean manufacturing industries, to decompose the sources of total factor productivity (TFP) growth into technical progress, changes in technical efficiency, changes in allocative efficiency, and scale effects. Empirical results based on data from 1980–1994 show that productivity growth was driven mainly by technical progress, that changes in technical efficiency had a significant positive effect, and that allocative efficiency had a negative effect. This study suggests that specific guidelines are required to promote productivity in each industry, and provides additional insight into understanding the recent debate on TFP growth in Korean manufacturing.     

Business Strategy and Firm Reorganization: Role of Changing Environmental Standards,Sustainable Business Initiatives and Global Market Conditions

My study is framed against the backdrop of increasingly stringent environmental demands on the pulp and paper industry to reduce water and air pollution, and the changing global market conditions. I first present an observation‐based analysis conducted by visiting selected paper mills in Finland, the US, Germany and Sweden. Interesting differences and similarities emerge. Some of the observed differences lie in their focus on achieving incremental efficiency gains from better management of production processes, inventories, supply‐chain, product distribution and timing of modernization investments such as information technology. In the second part of the paper I present evidence on firms' productivity paths and the heterogeneity in productivity among relatively similar firms, and selected evidence of firms' investments in specific areas and how these affected productivity. My findings have implications for organizational behavior and business strategies employed by firms to improve their performance and productivity under changing environmental standards and market conditions. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment     

Inefficiency and heterogeneity in Turkish banking: 1990–2000

Recent studies have stressed the importance of privatization and openness to foreign competition for bank efficiency and economic growth. We study bank efficiency in Turkey, an emerging economy with great heterogeneity in bank types and ownership structures. Earlier studies of Turkish banking had three limitations: (i) excessive reliance on cost‐function frontier analyses, wherein volume of loans is a measure of banking output; (ii) pooling all banks or imposing ad hoc heterogeneity assumptions; and (iii) lack of a comprehensive panel data set for proper analysis of productivity and heterogeneity. We use an estimation–classification procedure to find likelihood‐driven classification of bank technologies in an 11‐year panel. In addition, we augment traditional cost‐frontier analysis with a labour‐efficiency analysis. We conclude that state banks are not particularly inefficient overall, but that they do utilize labour inefficiently. This partially supports recent calls for privatization. We also conclude that special finance houses (or Islamic banks) utilize the same technology as conventional domestic banks, and do so relatively efficiently. This suggests that they do not cause harm to the financial system. Finally, we conclude that foreign banks utilize a different technology from domestic ones. This suggests that one should not overstate their value to the financial sector. Copyright © 2005 John Wiley & Sons, Ltd.     

State enforceability of noncompete agreements: Regulations that stifle productivity!

Noncompete agreements (also known as covenants not to compete [CNCs]) are frequently used by many businesses in an attempt to maintain their competitive advantage by safeguarding their human capital and the associated business secrets. Although the choice of whether to include CNCs in employment contracts is made by firms, the real extent of their restrictiveness is determined by the state laws. In this article, we explore the effect of state‐level CNC enforceability on firm productivity. We assert that an increase in state level CNC enforceability is detrimental to firm productivity, and this relationship becomes stronger as comparable job opportunities become more concentrated in a firm's home state. On the other hand, this negative relationship is weakened as employee compensation tends to become more long‐term oriented. Results based on hierarchical linear modeling analysis of 21,134 firm‐year observations for 3,027 unique firms supported all three hypotheses.     

The Business Case for Gender Diversity: Examining the Role of Human Resource Management Investments

Integrating opposing theoretical perspectives from the past literature, the authors hypothesize and test a U‐shaped curvilinear relationship between gender diversity and workforce productivity. They further propose that the curvilinear effects vary depending on the levels of an organization's human resource management (HRM) investments in pay, benefit, training, and communication; that is, the patterns are more salient when HRM investments are high rather than low. To enhance understanding of how HRM investments have impact on diverse employees, the authors also examine the moderating influence of organizational identification of diverse members that can exert proximal influence on the diversity‐productivity relationship. As predicted, results reveal that high levels of HRM investments influence the gender diversity–workforce productivity association to form a U‐shaped curvilinear relationship. Organizational identification also yields the same moderating patterns. Research and practical implications are discussed. © 2015 Wiley Periodicals, Inc.     

TOTAL FACTOR PRODUCTIVITY ESTIMATION: A PRACTICAL REVIEW

Abstract This paper aims to provide empirical researchers with an overview of the methodological issues that arise when estimating total factor productivity at the establishment level, as well as of the existing (parametric and semi‐parametric) techniques designed to overcome them. Apart from the well‐known simultaneity and selection bias, attention is given to methodological issues that have emerged more recently and that are related to the use of deflated values of inputs and outputs (as opposed to quantities) in estimating productivity at the firm level, as well as to the endogeneity of product choice. In discussing the estimation procedures applied in the literature, attention is given to recent developments in the field. Using data on single‐product firms active in the Belgian food and beverages sector, the most commonly applied estimators are illustrated, allowing for comparison of the obtained productivity estimates by way of a simple evaluation exercise.     

Has agricultural labor restructuring improved agricultural labor productivity in China? A decomposition approach

This paper presents a framework for analyzing the changes in agricultural labor productivity with regards to the structural, land intensity, and land productivity effects. This approach allows for the residual-free decomposition of data from different levels of aggregation. The logarithmic mean Divisia index was applied for the analysis and a data envelopment analysis model was constructed to identify potential gains in agricultural labor productivity due to the optimization of input use and output production. The proposed approach was applied to the case of China over the period of 1997–2017. Province-level data were used to identify the major driving factors behind agricultural labor productivity change. Land productivity change appeared to be the major source of agricultural labor productivity gains in China. The structural change was rather negligible, suggesting that the reallocation of the agricultural labor force did not add to the agricultural labor productivity growth in China. A frontier analysis indicated that agricultural labor productivity could increase by some 45% on average in case full technical efficiency is achieved.     

Insider ownership and firm performance in Taiwan's electronics industry: a technical efficiency perspective

This paper applies agency theory to explore the relationship between insider stock ownership and firm performance, particularly in terms of technical efficiency. Insiders are further classified into executives, outside directors, and large shareholders to conduct a detailed study. Six‐year (1996–2001) panel data of 416 Taiwanese listed electronics firms are examined by the stochastic production frontier approach. It is observed that raising the executive‐to‐insider holding ratio first causes a decrease and then an increase in technical efficiency, forming a U‐shaped relationship. However, the board‐to‐insider holding ratio is negatively associated with technical efficiency. The results indicate that equity ownership of top officers in high‐tech firms should be encouraged to enhance firm productivity. Copyright © 2005 John Wiley & Sons, Ltd.