A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection

Huang, Chao; Dai, Chong; Guo, Miao

doi:10.1016/j.amc.2014.11.077

Cited by 29 publications

(14 citation statements)

References 41 publications

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“…The second root is rejected because the transition coefficient cannot be negative, and the first root represents the limit value of the product of the coefficients K 1 K 2 at which the system will still be stable: K lim =K 1 K 2 =1.837×10 6 . Thus, the inequality 1.837×10 6 >K 1 K 2 >0 indicates the condition of the system stability relative to the product K 1 K 2 .…”

Section: Discussion Of the Enterprise Functioning Stability Results Smentioning

confidence: 99%

“…However, the issues related to the construction of the model complex were highlighted fragmentarily. In a number of sources, applied models of wind power plants stability assessment are considered, which allow forming a system of stability diagnostic indicators on the basis of signs complete and incomplete reduction methods [3,4], carrying out classification of IES stability states on the basis of cluster analysis methods [3], DEA methods [5,6], identifying the class of IES stability on the basis of classification trees [3], models of multiple choice [4], discriminant analysis [5]. It should be noted that along with the undoubted advantages, the above works do not adequately cover the issues of the comparative analysis of application effectiveness of various simulation methods.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Modeling of the enterprise functioning stability using the automatic control theory apparatus

Guryanova¹,

Nikolaiev

Zhovnovach

et al. 2017

EEJET

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Section: Discussion Of the Enterprise Functioning Stability Results Smentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling of the enterprise functioning stability using the automatic control theory apparatus

Guryanova¹,

Nikolaiev

Zhovnovach

et al. 2017

EEJET

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“…The simulation results of Banker and Natarajan [33] prove that DEA is more effective than the parameter estimation method. The essence of DEA is using a mathematical programming model to estimate best-practice frontiers without a priori underlying functional form assumption through computing multi-input/multi-output values [34]. DEA was first proposed by Charnes et al [35] as a statistical analysis method for efficiency evaluation under the hypothesis of "relative effectiveness", and the CCR model is suitable for efficiency comparison under the constant return scale (CRS).…”

Section: Data Envelopment Analysis (Dea)mentioning

confidence: 99%

Research on Technological Innovation Efficiency of Tourist Equipment Manufacturing Enterprises

2018

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With the lack of quantitative literature related to the tourist equipment manufacturing industry, this study used the innovation input and output data from 12 listed tourist equipment manufacturing companies in 2011–2017 and employed data envelopment analysis (DEA)–Malmquist to analyze the change of technological innovation efficiency. The Malmquist index and its decompositions were used as dependent variables separately, and government ownership, cooperation with academics, and cooperation with international corporations as independent variables to construct a Tobit regression model. The results of static DEA show that the efficiencies of 12 tourist equipment manufacturing enterprises display a slight decline rule, and DEA–Malmquist analysis showed that the decline of technological innovation efficiency main derives from both the decline of technical efficiency and technical level. Moreover, other innovative subjects have different impacts on the technological innovation efficiency of China’s tourist equipment manufacturing enterprises. Thus, enterprises need to increase input of innovation and enhance the management level. In addition, they should manage the relationship between these innovative subjects and enhance the ability of collaborative innovation and independent innovation.

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“…The super efficiency value is no longer limited to the range from 0 to 1, and a value greater than or equal to 1 is obtained. In this way, we can sort and select the best ones from these decision-making units and then make a scientific evaluation [35,36]. The model is listed below:…”

Section: Methodsmentioning

confidence: 99%

A Study on the Conduction Mechanism and Evaluation of the Comprehensive Efficiency of Photovoltaic Power Generation in China

Liu

Long

2017

Energies

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Abstract:In the context of the global potential energy crisis and aggravating regional environmental pollution, Chinese photovoltaic power generation still faces the key problems of sustainable development, even given its favorable background in large-scale exploitation. Scientific evaluation of the comprehensive efficiency of photovoltaic power generation is of great significance because it will improve investment decision-making and enhance management level, evaluate the development conditions of photovoltaic power generation and then promote sustainable development capability. The concept of "comprehensive efficiency" is proposed in this paper on the basis of the resource development of solar energy and exploitation of photovoltaic power generation. A system dynamics model is used to study the conduction mechanism of the comprehensive efficiency of photovoltaic power generation. This paper collects data from 2005 to 2015 as research models, establishes the evaluation model of the comprehensive efficiency of photovoltaic power generation and conducts empirical analysis based on a super-efficient data envelopment analysis (SE-DEA) model. With the evaluation results, this paper puts forward political suggestions as to the optimization of the comprehensive efficiency of photovoltaic power generation. The research results may provide policy-oriented references on the sustainable development of photovoltaic power generation and give theoretical guidance on the scientific evaluation and diagnosis of photovoltaic power generation efficiency.

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A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection

Cited by 29 publications

References 41 publications

Modeling of the enterprise functioning stability using the automatic control theory apparatus

Modeling of the enterprise functioning stability using the automatic control theory apparatus

Research on Technological Innovation Efficiency of Tourist Equipment Manufacturing Enterprises

A Study on the Conduction Mechanism and Evaluation of the Comprehensive Efficiency of Photovoltaic Power Generation in China

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