A combination of EFG-SBM and a temporally-piecewise adaptive algorithm to solve viscoelastic problems

Guo, Xiaofeng; Yang, Hongqi

doi:10.1016/j.enganabound.2016.02.010

Cited by 7 publications

(5 citation statements)

References 30 publications

(30 reference statements)

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“…Zhang used the input-output method to evaluate the input-output ratio of TI of industrial enterprises and conducted a comparative study [29]. Guo and Yang evaluated the efficiency of green innovation in each region [30]. Liu et al researched the sustainability of the coal industry, taking environmental, production, and other factors into account [31].…”

Section: Related Research On Ti Evaluation Methodsmentioning

confidence: 99%

Technological Innovation Efficiency of Listed Carbon Capture Companies in China: Based on the Dual Dimensions of Legal Policy and Technology

Xiao-feng

Wang

et al. 2023

Energies

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To achieve carbon neutrality and improve emission reduction efficiency, capturing carbon dioxide from the air on a large scale and promoting the application and innovation of carbon capture technology (CCUS) are the most important goals. This study undertakes an annual and comprehensive evaluation of the policy and the technological innovation efficiency (TIE) of 10 listed companies in China using the DEA model and the Malmquist index analysis method. The number of relevant laws and policies is significant, but they are not well coordinated. The static evaluation results indicate that the complete factor production rate is low, generally lower than 0.9, and the technical innovation efficiency is weak, mainly because of technological backwardness. The dynamic evaluation results indicate that the changes in total factor productivity (TFP) each year are primarily affected by changes in technological progress. This suggests that most domestic enterprises are still exploring technological innovation (TI) and operational business models. Finally, this study proposes measures to improve the TIE of carbon capture technology enterprises in China, including giving full play to the role of the government, expanding effective investment, and improving innovational ability.

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Section: Related Research On Ti Evaluation Methodsmentioning

confidence: 99%

Technological Innovation Efficiency of Listed Carbon Capture Companies in China: Based on the Dual Dimensions of Legal Policy and Technology

Xiao-feng

Wang

et al. 2023

Energies

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“…Ren et al [39] measured the green innovation efficiency of Chinese industrial enterprises based on an SBM model. Guo et al [40] used the three-stage DEA model to measure the green innovation efficiency of different provinces in China. Liu et al [41] used a RAM model to comprehensively consider environmental efficiency, production efficiency, and comprehensive efficiency to measure the sustainability level of the coal industry.…”

Section: Green Innovation In the Manufacturing Industrymentioning

confidence: 99%

Measuring and Integrating Risk Management into Green Innovation Practices for Green Manufacturing under the Global Value Chain

Sun

Yin

2020

Sustainability

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How to solve the contradiction between economic growth and ecological environmental protection is a practical problem that should be solved urgently at present. The development of green technology in the manufacturing industry must rely on technology innovation. However, the process of implementing green innovation in the manufacturing industry is full of high uncertainty and risk. First, the green innovation risks were divided into global green R&D risk, global green manufacturing risk, global green marketing risk, and global green service risk from the perspective of the process. Then, this study established a management criteria system of green innovation risk identification in the manufacturing industry under the global value chain (GVC). Furthermore, three methods were applied to identify the green innovation risk of the manufacturing industry under the GVC. Finally, this paper put forward the countermeasures to the green innovation risk of the manufacturing industry under the GVC. The empirical research results of this paper are as follows: From the perspective of the green innovation process, four risks are classified in this study, namely, global green R&D risk, global green manufacturing risk, global green marketing risk, and global green service risk. Among the four stages of green innovation risk, green marketing risk is the highest, followed by green service risk, and green R&D risk and green manufacturing risk are the least. Global green service risk and green R&D risk can be reduced mainly through risk diversification and risk reduction. Global green manufacturing risk and green marketing risk can be reduced mainly through risk diversification and secondary through risk reduction.

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“…The connotation of performance is mainly embodied in the three aspects of effect, efficiency, and benefit. The effect is the degree to which the goal is achieved, which is the appearance of the performance; the efficiency is the relationship between input and output; and the benefit refers to the economic, social, and environmental benefits that the final result brings to the organization or individual [27][28][29][30][31][32][33]. However, scholars have not yet reached a consensus regarding the definition of innovation performance, which can be summarized from the following four aspects [62][63][64][65][66][67][68].…”

Section: Predictive Test Indicatorsmentioning

confidence: 99%

“…Ren and Wang (2016) used slack measure model (SBM) model to measure the green innovation efficiency of Chinese industrial enterprises [ 31 ]. Guo and Yang (2016) used the Super-Efficiency-SBM model and the three-stage DEA method to calculate the green innovation efficiency of different provinces in China [ 32 ]. Liu et al (2016) used the range-adjusted measure (RAM)-DEA model to determine environmental efficiency in the coal industry [ 33 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Many scholars have studied the aspects related to industry, university, and research institutions [ 8 , 13 ]. However, there are fewer studies on the green technology innovation process of enterprises under multi-agent cooperation [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ]. The existing studies related to the index system pay more attention to the combination of quantitative and qualitative indices [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 ].…”

Section: Introductionmentioning

confidence: 99%

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Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

Yin

Zhang

2020

IJERPH

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A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

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A combination of EFG-SBM and a temporally-piecewise adaptive algorithm to solve viscoelastic problems

Cited by 7 publications

References 30 publications

Technological Innovation Efficiency of Listed Carbon Capture Companies in China: Based on the Dual Dimensions of Legal Policy and Technology

Technological Innovation Efficiency of Listed Carbon Capture Companies in China: Based on the Dual Dimensions of Legal Policy and Technology

Measuring and Integrating Risk Management into Green Innovation Practices for Green Manufacturing under the Global Value Chain

Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

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