Allocative Efficiency of Carbon Emission
Allowances among Sectors in China

Chen, Lili; He, Feng; Wang, Jianjian

doi:10.15244/pjoes/75821

Cited by 11 publications

(4 citation statements)

References 19 publications

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“…Radial measurements assume that all components vary proportionately, which is rarely the case. These measurements also ignore slack factors, such as excessive or inadequate output (Chen et al, 2018). The SBM models (non-radial slack variable efficiency), which are based on slack variable efficiency and do not employ radial estimate assumptions, aim to optimize input and output inefficiencies by selecting the points that are the farthest away from the frontier (Tone & Tsutsui, 2010).…”

Section: The Methodologies and Framework Of Researchmentioning

confidence: 99%

“…Although the EBM version has been applied to engage in studies on effectiveness, the version has been used to discover and expand usage handiest a small percent of the time (Chen et al, 2018). In conclusion, researchers have investigated the performance of the usage of monetary sources by using plenty of DEA models.…”

Section: Literature Reviewmentioning

confidence: 99%

“…We use the EBM-I-C, input-oriented under the assumption of constant returns-to-scale in DEA (Alghassab, 2022;Alharbi et al, 2021;Bian & Yang, 2010;Bin Arfaj et al, 2022;Chen et al, 2022;Chen & He, 2017;Chen et al, 2018;Chen et al, 2019), to evaluate the effectiveness of each cybersecurity company. This part's financial data from 2020 is shown in Table 2.…”

Section: Evaluation Of Dmus' Performancementioning

confidence: 99%

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Efficiency Evaluation of Cyber Security Based on EBM-DEA Model

Nguyễn¹,

WANG²,

Yang³

et al. 2022

EPSTEM

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Cyber security aims to protect against the unlawful use of systems, networks, and technologies by lowering the likelihood of cyberattacks and thwarting their execution. The comparatively low degree of security, which plays an essential part in the activities of any nation, has been a primary contributor to the low overall operational efficiency. In addition, implementing machine learning and artificial intelligence would make the network vulnerable to several severe vulnerabilities in terms of cybersecurity, which could lead to disastrous results. Therefore, research into the efficacy of cyber security is essential to ensure the future safety of the whole world. An EBM evaluation approach was utilized in this research project so that the production efficiency of firms on a micro level could be assessed. After that, it analyzed the effectiveness of cybersecurity organizations' input and output variables by using financial data for 2020 from sources in the US market. It was found that DMU 1, DMU 7, DMU 9, and DMU 10 had the highest performance levels. After doing an efficiency analysis of the ten most prominent organizations now functioning in the cybersecurity sector, we realized that three of those companies required significant modifications. However, four of the other businesses were typically more efficient.

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Section: The Methodologies and Framework Of Researchmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Evaluation Of Dmus' Performancementioning

confidence: 99%

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Efficiency Evaluation of Cyber Security Based on EBM-DEA Model

Nguyễn¹,

WANG²,

Yang³

et al. 2022

EPSTEM

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“…The models used in the above papers are mostly one-stage DEA, and the results still have room for improvement. Wu, 15 Chen, 16 Han, 17 Gong, 18 He, 19 and other scholars also proposed two-stage or three-stage DEA model combining different methods to improve the shortcomings of one-stage DEA. Referring to the above literature, this paper proposes an EBM two-stage DEA model considering undesirable outputs to solve the problem of radial and non-radial errors and to improve the overestimated or underestimated space.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the impact of energy utilization and PM on respiratory health in China

Shi

Liu

et al. 2020

Energy & Environment

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The haze climate has seriously affected people’s lives in China, and one of the important causes is particular matter (PM). For further, PM also has a negative impact on human health, especially respiratory health. A modified two-stage EBM (Epsilon-based Measure)data envelopment analysis (DEA) model considering undesirable outputs was used in this study to explore the energy utilization, PM and respiratory efficiency evaluation in China. It is concluded that the total efficiency value of Beijing, Inner Mongolia, Shandong and Tianjin is high, while that of China’s other provinces is low. The overall efficiency of most provinces in the first stage is better than that in the second stage, and the efficiency difference between provinces in the second stage is more significant. There is a significant difference in PM efficiency between provinces, which needs to be managed by governments of different regions. Except for Beijing, Jiangsu, Inner Mongolia, Shandong and Tianjin, the efficiency of respiratory diseases in most provinces still needs to be improved. Therefore, it is suggested to optimize the industrial structure, accelerate the adjustment of energy structure, strengthen the treatment of air pollution and increase public expenditure on medical care, so as to improve residents’ respiratory health.

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Inputs Optimization to Reduce the Undesirable Outputs by Environmental Hazards: A DEA Model with Data of PM2.5 in China

Wu¹,

Guo²

2021

Economic Impacts and Emergency Management of Disasters in China

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Allocative Efficiency of Carbon Emission Allowances among Sectors in China

Cited by 11 publications

References 19 publications

Efficiency Evaluation of Cyber Security Based on EBM-DEA Model

Efficiency Evaluation of Cyber Security Based on EBM-DEA Model

Evaluation of the impact of energy utilization and PM on respiratory health in China

Inputs Optimization to Reduce the Undesirable Outputs by Environmental Hazards: A DEA Model with Data of PM2.5 in China

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