A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China

Chen, Ku-Hsieh

doi:10.1007/s11123-010-0198-7

Cited by 98 publications

(43 citation statements)

References 37 publications

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“…To solve the problem of the choice of the base year, Färe et al (1994) and Chen and Yang (2011) TEC mv t t + represents the pure technical efficiency change measured on the basis of the metafrontier under variable returns to scale (VRS). If the value is larger than unity, this means that the pure technical efficiency of a specific firm has progressed from period t to period t +1.…”

Section: Mmpi and Gmpimentioning

confidence: 99%

Performance Evaluation of the Semiconductor Industry Based on a Metafrontier Approach

Chiu

Fang

Tsang

et al. 2018

Technological and Economic Development of Economy

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Abstract. The semiconductor industry has been regarded as one of the most important industries by Taiwan due to the market share of Taiwan's semiconductor industry in 2011 ranked second worldwide. However, the European debt crisis triggered a global economic recession in 2011, causing Taiwan's output of semiconductors in 2010 and 2011 to show negative growth. This paper will mainly explore, from the performance evaluation perspective, the Malmquist productivity index of the Taiwan's semiconductor industry based on a metafrontier approach. The empirical results show that the European debt crisis in 2011 had an impact on Integrated circuit (IC) design companies and IC manufacturing companies, but that there was no influence on IC packaging and testing companies when measuring static efficiency. From the viewpoint of dynamic productivity performance, the paper finds that the main reason for the negative growth of IC packaging and testing companies and IC design companies came from a backward movement in technical change, but the main reason for the negative growth of IC manufacturing companies derived from a decline in pure technical efficiency.

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Section: Mmpi and Gmpimentioning

confidence: 99%

Performance Evaluation of the Semiconductor Industry Based on a Metafrontier Approach

Chiu

Fang

Tsang

et al. 2018

Technological and Economic Development of Economy

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“…Motivated by the need to develop a more accurate measure of productivity growth, this paper proposes a framework to estimate and decompose productivity in a sector with technological heterogeneity and applies it to analyze Germany's electricity sector. The use of a metafrontier Malmquist productivity index based on Chen and Yang (2011) incorporates productivity growth at the subtechnology level when estimating sectoral productivity developments. Analysis based on the semi-parametric stochastic nonsmooth envelopment of data (StoNED), as proposed by Kuosmanen and Kortelainen (2012), estimates productivity growth with only a few microeconomic assumptions on the shape of the production function while allowing for a parametric treatment of operational inefficiency and random disturbance.…”

Section: Introductionmentioning

confidence: 99%

Measuring Productivity When Technologies are Heterogeneous: A Semi-Parametric Approach for Electricity Generation

Seifert

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractWhile productivity growth in electricity generation is associated with multiple positive effects from an economic and environmental perspective, measuring it is challenging. This paper proposes a framework to estimate and decompose productivity growth for a sector characterized by multiple technologies. Using a metafrontier Malmquist decomposition and frontier estimation based on stochastic non-smooth envelopment of data (StoNED) allows for productivity estimation with few microeconomic assumptions. Additionally, evaluation of productivity at representative hypothetical units permits distribution-free analysis for the whole distribution of power plant sizes. The proposed framework is used to analyze a unique and rich dataset of coal, lignite, gas, and biomass-fired generators operating in Germany from 2003 to 2010. The results indicate stagnating productivity for the sector as a whole, technical progress for biomass plants, and very high productivity for gas-fired plants. JEL-Codes: D24,C14,O13,L94

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“…If the catch-up term is greater than unity, then the group is catching up with the sectoral technology from period t to period t+1. Chen and Yang (2011) show that the catch-up index can be decomposed into two components: the pure technological catch-up and the frontier catch-up. The pure technological catch-up is the ratio between the technical efficiency change computed by using the metafrontier as the reference technology and the technical efficiency change computed with respect to the group-specific technology.…”

Section: The Empirical Methodologymentioning

confidence: 99%

Trademarking activities and total factor productivity: Some evidence for British commercial banks using a metafrontier approach

Duygun

Sena

Shaban

2016

Journal of Banking & Finance

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In this paper, we compute a non-parametric Metafrontier Malmquist index to evaluate the Total Factor Productivity (TFP) change among UK-based trademarking and non-trademarking commercial banks between 2005 and 2013. The use of the metafrontier approach allows us to: a) identify the drivers of TFP growth for each group of banks, b) compare the TFP growth of each group to the TFP growth experienced by the whole industry, and c) assess the extent to which the former catches up with the latter measured along the metafrontier. Our results suggest that TFP has been increasing among trademarking banks up to the onset of the financial crisis but this process has since reversed. The catch-up indexes suggest that both groups of banks were catching up with the metafrontier up to the financial crisis although the drivers of this process differed between the two groups. After the financial crisis, improvements in technology have been driven by a small number of commercial banks i.e. the non-trademarking banks. These results suggest that a large section of the commercial banking sector has not been able to overcome the effects of the financial crisis.

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A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China

Abstract: Malmquist productivity index, Productivity growth, Metafrontier, C23, C51, C63, D24, L6,

Cited by 98 publications

References 37 publications

Performance Evaluation of the Semiconductor Industry Based on a Metafrontier Approach

Performance Evaluation of the Semiconductor Industry Based on a Metafrontier Approach

Measuring Productivity When Technologies are Heterogeneous: A Semi-Parametric Approach for Electricity Generation

Trademarking activities and total factor productivity: Some evidence for British commercial banks using a metafrontier approach

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