The business performance evaluation index method for the high-tech enterprises based on the DEA model

Li, Depeng; Hou, Renyong; Sun, Qian

doi:10.3233/jifs-179763

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…This reveals, in the R&D stage, the rapid turnover of total capital is not positive to technological innovation efficiency. (2) The value of government subsidy is 0.3920, which is significant at the significant level of 5%, indicating subsidy can significantly promote enterprises' R&D efficiency. (3) The value of total assets is 0.192, indicating the total assets are inversely proportional to enterprises' R&D efficiency.…”

Section: The Results Of the Tobit Modelmentioning

confidence: 98%

“…Turnover of total capital is significant at a significant level of 5%, indicating that in the achievement transformation stage, the better the company's management ability is, the more beneficial it is to technological innovation efficiency. (2) The value of total assets is 0.4915, which indicates that the total assets are directly proportional to the technological innovation efficiency of NEV enterprises in the achievement transformation stage. The total assets are significant at a significant level of 1%.…”

Section: The Results Of the Tobit Modelmentioning

confidence: 99%

“…Therefore, it is of great importance to promote the rapid growth of NEVs, strengthen technological innovation, and form internationally competitive NEV enterprises. In 2019, the sales volume of NEVs exceeded 1.2 million vehicles in China [2]. With the world's largest NEV market, complete industrial supporting system, and policy supporting system, a number of enterprises with international competitiveness have grown up [3].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model

et al. 2020

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It is vital to promote and optimize the technological innovation efficiency of new energy vehicle (NEV) enterprises for the green transformation of China’s automobile industry. However, China’s NEV enterprises still have problems such as insufficient research of technology and unreasonable innovative resource allocation. To improve the technological innovation efficiency of China’s NEV enterprises, the NEVs’ technological innovation process is divided into two stages: the research and development (R&D) stage and the achievement transformation stage in this research. Combining Tobit regression with data envelopment analysis (DEA), an evaluation framework of technological innovation efficiency of the NEV enterprises is constructed. Then, the innovation efficiency of 23 NEV listed enterprises from 2013 to 2018 is analyzed. The result reveals three findings. First, the overall technological innovation efficiency of NEV enterprises is low. Second, enterprises’ R&D efficiency is generally higher than the achievement transformation efficiency. Third, according to two-stage efficiency, 23 NEV enterprises are divided into four categories. For different types of enterprises, targeted guidance to improve innovation efficiency is proposed. This research provides a theoretical and practical basis for improving the innovation efficiency of NEV enterprises.

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Section: The Results Of the Tobit Modelmentioning

confidence: 98%

Section: The Results Of the Tobit Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model

et al. 2020

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“…China's HTM enterprises can improve their efficiency through domestic technology transfer [35]. In the process of international technology transfer, the ownership structure is an important factor related to efficiency differences in Chinese enterprises [36,37]. Accordingly, the technical efficiency of China's HTM sector is affected by varied and complex factors.…”

Section: Introductionmentioning

confidence: 99%

Effect of International Technology Transfer on the Technical Efficiency of High‐Tech Manufacturing in China: A RAGA‐PP‐SFA Analysis

2021

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The sustainable development of China’s high-tech manufacturing (HTM) sector is restricted by dependence on technology introduction and foreign direct investment (FDI), low input-output efficiency, and environmental pollution. This study aimed to examine the roles of technology introduction and FDI in improving the technical efficiency of Chinese HTM from an environmental perspective. By integrating stochastic frontier analysis (SFA) and projection pursuit (PP) based on the real-coded accelerated genetic algorithm (RAGA), this study constructed a RAGA-PP-SFA model that considers undesirable outputs. This model includes various outputs, including environmental pollution, in the production function to improve estimation accuracy. Moreover, to verify the robustness of the estimation results, the results were provided when environmental pollutants were taken as input factors. The results showed that technology introduction could significantly promote HTM’s technical efficiency, while FDI had no significant positive effect. By comparing the estimated results with those that did not consider environmental pollution, this study not only reveals different roles of technology introduction and FDI in improving HTM’s technical efficiency but also confirms that ignoring environmental pollution will overestimate their roles (especially the role of FDI) in such improvement.

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“…There are studies in the food processing industry, such as [26]. In the construction industry, like [34] and the performance evaluation of the new energy vehicle industry, such as [29]. The characteristics of this kind of research are either to determine the high efficiency and low efficiency DMU of the industry studied, and then analyze which factors will affect the efficiency, or to determine the reasons for low efficiency and analyze and compare the input excesses and output shortfalls.…”

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confidence: 99%

The efficiency of major industrial enterprises in Sichuan province of China: A super slacks-based measure analysis

Zhu

2023

JIMO

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<p style='text-indent:20px;'>The main objective of this research is to measure the efficiency of 397 major industrial enterprises in Sichuan province of China in 2013.To this end, we employed DEA super slacks-based measure (Super-SBM) model for performance evaluation of 397 major manufacturing firms.The empirical results show that 21 of the 397 enterprises operate efficiently, and the average efficiency score of the analyzed enterprises is only 0.15. The enterprise with the highest efficiency score is 96.15% higher than the average score, which is the benchmark enterprise of operational efficiency. Among the selected sample enterprises, 5.29% of the industrial enterprises are highly efficient in operation. It was also noticed that the average efficiency score of pharmaceutical firms was the highest among all industrial firms with a mean score of 0.75, which is 80% higher than the overall average score of all industries. While the average efficiency of manufacturing of chemical raw materials and chemical products was the lowest with a mean score of 0.39. Results of sensitivity analysis show that profit has a great impact on the efficiency score of special equipment manufacturing firms, but a relatively weak impact on the firms which manufacture computers, communications, and other electronic equipment. The effect of export delivery value on efficiency score is not obvious.</p>

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The business performance evaluation index method for the high-tech enterprises based on the DEA model

Cited by 9 publications

References 3 publications

Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model

Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model

Effect of International Technology Transfer on the Technical Efficiency of High‐Tech Manufacturing in China: A RAGA‐PP‐SFA Analysis

The efficiency of major industrial enterprises in Sichuan province of China: A super slacks-based measure analysis

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