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

Chang, Hsihui; Choy, Hiu Lam; Cooper, W. W.; Ruefli, Timothy W.

doi:10.1016/j.omega.2008.08.004

Cited by 94 publications

(42 citation statements)

References 19 publications

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“…Later, Färe, Grosskopf, and Roos (FGR) [18] incorporated ''quality'' (a) attributes into FGLR's model and decomposed the Malmquist productivity index into three components, namely quality change, technical change, and efficiency change. Many studies have applied Malmquist productivity index [17,[42][43][44][45][46] to measure productivity growth in various industries.…”

Section: Malmquist Productivity Index and Its Componentsmentioning

confidence: 99%

Taiwan quality indicator project and hospital productivity growth

Chang

Hsiao

Huang

et al. 2011

Omega

Self Cite

106

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a b s t r a c tThe 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.

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Section: Malmquist Productivity Index and Its Componentsmentioning

confidence: 99%

Taiwan quality indicator project and hospital productivity growth

Chang

Hsiao

Huang

et al. 2011

Omega

Self Cite

106

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“…Furthermore, in an important development, McDonald (2009) provides statistical foundation that the use of DEA and OLS is a consistent estimator, and if White's (1980) heteroskedastic consistent standard errors are calculated, large sample tests can be performed which are robust to heteroskedasticity and the distribution of the disturbances. Thus, following Banker et al (2010), Chang et al (2009) and Banker and Natarajan (2005) among others, the second stage regressions in this study are estimated by using the OLS method. As suggested by Hoechle (2007) and Greene (2003), the regressions were estimated with robust standard errors in order to correct for group wise heteroskedasticity and cross-sectional correlation in panels.…”

Section: Multivariate Panel Regression Analysismentioning

confidence: 99%

“…Following the more recent approach suggested by Banker et al (2010), Chang et al (2009) and Banker and Natarajan (2005), we also use the central tendency and parametric method that are involved in panel regression analysis to investigate the Chinese banking sector's production efficiency, while controlling for the potential effects of contextual variables (i.e. The method allows us to distinguish between three different types of efficiency measures, namely technical, pure technical and scale.…”

Section: Introductionmentioning

confidence: 99%

Opening the Black Box on Bank Efficiency in China: Does Economic Freedom Matter?

Sufian

Habibullah

2011

Global Economic Review

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The paper provides, for the first time, empirical evidence on the impact of economic freedom on bank efficiency in a developing economy. We employ the Data Envelopment Analysis method to compute the efficiency of the Chinese banking sector during 2000Á2008. The empirical findings indicate that the inefficiency of the Chinese banking sector stems largely from scale rather than pure technical. By examining different dimensions of economic freedom, we find that not all are equally regressive on bank efficiency. We find that the impact of business freedom to be positive, implying that higher (lower) freedom for entrepreneurs to start businesses increases (reduces) bank efficiency. Similarly, monetary freedom is positively related to bank efficiency levels, indicating the importance of a stable and reliable monetary policy to business environment. On the other hand, the impact of financial freedom is negative, implying that higher (lower) financial freedom reduces (increases) the efficiency of banks operating in the Chinese banking sector.

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“…Chang et al (2009) investigated changes in productive efficiency for 62 US public accounting firms between the periods 2000-2001 and 2003-2004. Chang et al (2009) investigated changes in productive efficiency for 62 US public accounting firms between the periods 2000-2001 and 2003-2004.…”

Section: Literature Reviewmentioning

confidence: 99%

A DEA approach for ranking and optimisation of technical and management efficiency of a large bank based on financial indicators

Azadeh

Ghaderi

Mirjalili

et al. 2010

IJOR

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This study presents a data envelopment analysis (DEA) approach for ranking and optimisation of branches of a large bank based on financial indicators. The effective financial indicators are evaluated by standard organisational and managerial assessment. Then, robust DEA models are applied to rank and optimise the organisation using output-oriented models to evaluate management and technical efficiency. The models are output-oriented because they are the primary decision variables in banking institutions. Principal components analysis (PCA) and numerical taxonomy (NT) are used and applied to verify and validate DEA findings. The superiority and applicability of the algorithm are shown for various branches of a large private bank in Iran. In summary, the unique features of this study are: (1) utilisation of DEA models for ranking and optimisation of technical and management efficiency in a large private bank. (2) utilisation of a robust PCA-NT approach for verification and validation of DEA approach. The proposed framework can be used to study the behaviour of financial operations in large banks.A DEA approach for ranking and optimisation 161

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

Cited by 94 publications

References 19 publications

Taiwan quality indicator project and hospital productivity growth

Taiwan quality indicator project and hospital productivity growth

Opening the Black Box on Bank Efficiency in China: Does Economic Freedom Matter?

A DEA approach for ranking and optimisation of technical and management efficiency of a large bank based on financial indicators

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