R&amp;D performance assessment of industrial enterprises in China: A two-stage DEA approach

Liu, Huihui; Yang, Guo-liang; Xiao-xiao, Liu; Song, Yao-yao

doi:10.1016/j.seps.2019.100753

Cited by 43 publications

(23 citation statements)

References 49 publications

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“…In contrast, higher depreciation cost will affect profitability. This result is consistent with the result of the reference [6], which indicates that operation performance may vary among enterprises due to different competitive environment, and accordingly, enterprises may take different management methods and operation models.…”

Section: B Managerial Implicationssupporting

confidence: 89%

“…In view of the preceding literature review, CCR and total factor productivity change are widely applied in DEAbased performance analysis, effect of which is also recognized by Liu et al [6], Lu et al [17], and other scholars. Therefore, this study applied the DEA to evaluate the operation performance of Taiwan TFT-LCD industry.…”

Section: B Deamentioning

confidence: 96%

“…Most of LCD producers in Taiwan introduce technologies through transnational technology transfer. Research and development (R&D) is a key driver for technological advances, and also represents a competitive edge for enterprises [5,6]. R&D activities feature high costs, long processes, and high risks, and the results of R&D activities affect enterprises' business growth and values.…”

Section: Introductionmentioning

confidence: 99%

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Applying Data Envelopment Analysis to Evaluate the Operation Performance of Taiwan’s TFT-LCD Industry After Post-Global Financial Crisis: A Longitudinal Study

Yang

Chen

2020

IEEE Access

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After the global financial crisis occurred in 2008, thin-film transistor liquid-crystal display (TFT-LCD) industry, one of the major industries in Taiwan, has been subject to mass production and lowprice competition by manufacturers in China. As a result, companies are facing an increasingly tough operating environment and some of them had to conduct merger/acquisition and transformation and even went bankruptcy ultimately due to unbearable long-term losses. This study aims to apply data envelopment analysis (DEA) and Malmquist Productivity Index (MPI) to evaluate changes in operation performance and productivity of listed companies operating in Taiwan TFT-LCD industry during the period between 2008 and 2017, and research results thereof could provide companies with a reference for organizing adjustment and developing strategies. According to research results: (1) among the six evaluated TFT-LCD manufacturers, TFT-LCD manufacturer F enjoys the best operation performance, and its overall technical efficiency, pure technical efficiency, and scale efficiency are above the average in the industry; therefore, TFT-LCD manufacturer F is considered as the benchmark enterprise among companies; (2) at the same technical level, both inputs of research and development (R&D) and human resources failed to be effectively utilized, which demonstrates that there is still a lot of room for improvement in operation efficiency of inefficient manufacturers. INDEX TERMS Data envelopment analysis (DEA), Thin-film transistor liquid-crystal display (TFT-LCD), operation performance, Malmquist productivity index (MPI), case study.

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Section: B Managerial Implicationssupporting

confidence: 89%

Section: B Deamentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Applying Data Envelopment Analysis to Evaluate the Operation Performance of Taiwan’s TFT-LCD Industry After Post-Global Financial Crisis: A Longitudinal Study

Yang

Chen

2020

IEEE Access

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“…The government needs to build more public service platforms to improve the efficiency and transformation of R&D and formulate effective strategies to accelerate the actual conversion of R&D investment to innovation output. This article further confirms the low R&D efficiency of Chinese publicly listed private firms at present, which is consistent with existing research (Liu et al, 2020; Zhang et al, 2019) [ 13 , 15 ], indicating that it is a long process for Chinese firms to shift from attaching importance to increasing R&D investment to innovation output. How to transform human, capital, and resource input into innovation output is an urgent problem for firms to solve.…”

Section: Conclusion and Policy Implicationssupporting

confidence: 91%

China’s Carbon Emissions and Trading Pilot, Political Connection, and Innovation Input of Publicly Listed Private Firms

Liu

Cheng

et al. 2020

IJERPH

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Taking China’s carbon emissions and trading pilot (CCETP) as a quasi-natural experiment, this paper examines the impact of CCETP on publicly listed private firms’ innovation input and the moderating effect of the firms’ political connection based on the difference-in-differences model. The results show that CCETP has a significantly positive effect on the innovation input of Chinese publicly listed private firms. Moreover, the political connection of executives exhibits a positive moderating effect on CCETP’s impact on innovation input. Meanwhile, the effect is more significant in regions with high environmental protection investment and large publicly listed private firms. The conclusions could provide some policy enlightenment for China’s carbon market, as well as a rational adjustment of the relationship between political connection and innovation input of publicly listed private firms in the future.

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“…Over the years, many studies have utilized DEA method to analyze risks in various fields. The DEA framework has been applied in a wide range of areas, including evaluation of service performance [25], [27], hospital efficiency [28], supplier selection [29] and transportation [30]- [33].…”

Section: Related Workmentioning

confidence: 99%

A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems

et al. 2020

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Multimodal transportation has become a main focus of logistics systems due to environmental concerns, road safety issues, and traffic congestion. Consequently, research and policy interests in multimodal freight transportation problems are increasing. However, there are major challenges in the development of multimodal transportation associated with inherent risks and numerous uncertainties. Since risks are potential threats that directly impact logistics and transportation systems, comprehensive risk analysis should be carried out. Risk analysis is a critical process of identifying and analyzing significant issues to help industry mitigate those risks. However, identifying and prioritizing risks is more complex because of the ambiguity of the relevant data. This study proposes the integration of the fuzzy analytic hierarchy process (FAHP) and data envelopment analysis (DEA) for identifying and assessing quantitative risks. The proposed FAHP-DEA methodology uses the FAHP method to determine the weights of each risk criterion. The DEA method is employed to evaluate the linguistic variables and generate the risk scores. The simple additive weighting (SAW) method is used to aggregate risk scores under different risk criteria into an overall risk score. A case study of the coal industry demonstrates that the proposed risk analysis model is practical and allows users to more accurately prioritize risks while selecting an optimal multimodal transportation route. The process raises user's attention to the high-priority risks and is useful for industries in optimizing a multimodal transportation route under risk decision criteria. INDEX TERMS Multimodal freight transportation, logistics, optimal route, risk analysis, risk assessment, DEA, FAHP.

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R&D performance assessment of industrial enterprises in China: A two-stage DEA approach

Cited by 43 publications

References 49 publications

Applying Data Envelopment Analysis to Evaluate the Operation Performance of Taiwan’s TFT-LCD Industry After Post-Global Financial Crisis: A Longitudinal Study

Applying Data Envelopment Analysis to Evaluate the Operation Performance of Taiwan’s TFT-LCD Industry After Post-Global Financial Crisis: A Longitudinal Study

China’s Carbon Emissions and Trading Pilot, Political Connection, and Innovation Input of Publicly Listed Private Firms

A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems

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