A metafrontier approach for measuring Malmquist productivity index

Oh, Dae Jong; Lee, Jeong‐Dong

doi:10.1007/s00181-009-0255-0

Cited by 199 publications

(97 citation statements)

References 11 publications

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“…, , Oh 2010;Oh, Lee 2010) before evaluating the directional distance function. In order to calculate the directional meta-distance function and K group directional distance function in period t, we need to solve the following two linear programs:…”

Section: Metafrontier and Group Frontiersmentioning

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: Metafrontier and Group Frontiersmentioning

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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“…In order to measure the green productivity growth considering economic expansion, resource conservation, and pollutant mitigation simultaneously [35], this paper applies the method proposed by Oh & Lee [36] and Zhang et al [37] by considering the non-radial slacks in the NDDF. The NDDF approach is appropriate by incorporating slacks and multiple scaling factors into the efficiency measurement, conducting the economic expansion, resource conservation and pollutant mitigation simultaneously, as well as overcoming the "slack bias" in DDF.…”

Section: Literature Reviewmentioning

confidence: 99%

Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication

Lin

2016

Sustainability

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Abstract:Resource depletion and environmental degradation have become serious challenges for China's sustainable development. This paper constructs indicators to assess China's green economy performance and green productivity growth, in which economic expansion, resource conservation and environmental protection need to be incorporated simultaneously. For this purpose, we combine non-radial directional distance function and meta-frontier Malmquist productivity to develop the indicators. The methodology also allows for the decomposition of driving forces of China's green economy. Moreover, the dataset employed in this paper allows for the evaluation of 275 cities in China during the period 2003-2012. The main findings are as follows. First, most of China's cities did not perform efficiently in terms of the green economy, with an average score of only 0.233. Second, the growth rate of green productivity is slower than real GDP, and the green productivity growth in China is only moderate. Third, innovation is the main driving force of China's green productivity growth, but the central region lags behind when it comes to green innovation. Fourth, artificial local protectionism and transport limitations impede the progress of cities that perform ineffectively in the green economy. Based on our empirical findings, we provide policy implications and suggestions for enhancing China's green economy performance and productivity growth.

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“…Since Hayami and Ruttan [27] introduced the meta-production function, there have been studies on the metafrontier approach for efficiency and productivity analysis [9,11,12,[28][29][30][31][32]. Previously, efficiency was usually analyzed by independently estimating each group production frontier without taking differences in environmental factors, such as technology, economies of scale and region, etc.…”

Section: Metafrontier Dea Approachmentioning

confidence: 99%

Efficiency of Government-Sponsored R&D Projects: A Metafrontier DEA Approach

Park

Shin

2018

Sustainability

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Government R&D investments are steadily increasing with the perception that R&D plays an important role in technological innovation and sustainable economic growth. In particular, because biotechnology is recognized as one of the next growth engines, the Korean government has recently increased their investment in biotechnology R&D. However, careful analysis of the efficiency of government-sponsored R&D projects is still lacking. In this paper, we measured the technical efficiency and technology gap ratio to investigate the efficiency of Korean government-sponsored R&D projects of 16 sub-biotechnologies from 2007 to 2013 using a metafrontier Data Envelopment Analysis approach. There was no improvement in overall efficiency between 2007 and 2013. Biochip development technology has been the most efficient sub-biotechnology field and the least efficient fields have been biotechnology product safety and efficacy assessment technology. Medical science and engineering is the closest to optimal production technology among sub-biotechnologies. The efficiency of universities and government-funded research institutes is high, while the efficiency of companies is relatively low. The results suggest that the government should improve the R&D planning process and establish a customized R&D investment strategy that considers the characteristics of technologies and the seven organization types of R&D conductors to increase R&D efficiency.

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A metafrontier approach for measuring Malmquist productivity index

Abstract: Malmquist productivity index, Efficiency change, Technical change, Technical leadership, C61, O33, O47, O57,

Cited by 199 publications

References 11 publications

Performance Evaluation of the Semiconductor Industry Based on a Metafrontier Approach

Performance Evaluation of the Semiconductor Industry Based on a Metafrontier Approach

Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication

Efficiency of Government-Sponsored R&D Projects: A Metafrontier DEA Approach

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