Data-Driven Robust Data Envelopment Analysis for Evaluating the Carbon Emissions Efficiency of Provinces in China

Qu, Shaojian; Xu, Yuting; Ji, Ying; Feng, Can; Wei, Jinpeng; Jiang, Shan

doi:10.3390/su142013318

Cited by 14 publications

(8 citation statements)

References 42 publications

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“…Whereas the DEA method does not require the construction of production functions, weights are not affected by human subjective factors. They can solve multiple input and output problems and are widely used [44][45][46]. DEA is an evaluation method pioneered by Charnes et al (1978) for calculating the relative efficiency of decision units with the same properties [47].…”

Section: Generalized Fuzzy Dea Methods Based On Game Theorymentioning

confidence: 99%

A Game Strategy Study on Innovation Efficiency of China’s Listed Charging Pile Companies: Based on Generalized Fuzzy DEA Method

Ding

et al. 2023

Sustainability

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As a necessary infrastructure for new energy vehicles (NEV), charging piles have become a hot topic of social concern. Studying the innovation efficiency of charging pile companies can help to solve the development dilemma of the charging pile industry. This paper uses the generalized fuzzy data envelopment analysis (DEA) method based on game theory to study 23 Chinese listed charging pile manufacturing companies’ innovation efficiency from 2019 to 2021. On this basis, 15 charging pile technological interrelatedness companies are joined to establish a new game environment and to discuss the possibility of charging pile product manufacturing companies shifting to a new business model led by value-added service provision. The results show that the innovation efficiency of each company is significantly improved in the cooperative state, while the opposite is true in the competitive state, so cooperation is the company’s priority choice. Charging pile product manufacturing companies are more inclined to cooperate with technologically interrelated companies. The business model dominated by value-added service provision is conducive to improving the level of industrial innovation. The competition will easily lead to the decline of their innovation efficiency. Hence, companies should carefully choose their competition strategy.

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Section: Generalized Fuzzy Dea Methods Based On Game Theorymentioning

confidence: 99%

A Game Strategy Study on Innovation Efficiency of China’s Listed Charging Pile Companies: Based on Generalized Fuzzy DEA Method

Ding

et al. 2023

Sustainability

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“…Their research underscored the importance of technical advancement in fostering efficiency. Qu et al (2022) tackled uncertainties related to climate and governmental economic policy through the use of a robust DEA model. They advocated for the adoption of a green and low-carbon lifestyle, a transformation in energy structures, and the promotion of coordinated regional development.…”

Section: Literature Reviews Of Carbon Emissions Managementmentioning

confidence: 99%

Carbon emissions management efficiency evaluation based on indicator information integration and DEA-Malmquist index

Ye,

Han,

2023

Front. Environ. Sci.

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The completeness of indicator information is a critical issue that requires further investigation in the evaluation of carbon emissions management efficiency. However, this problem has not received adequate attention in existing studies, and there is a dearth of analysis using the total factor productivity method, which has proven effective in evaluating efficiency in various domains. Consequently, this study proposes a model for evaluating carbon emissions management efficiency that integrates indicator information and employs the data envelopment analysis (DEA)-Malmquist index. The integration of indicator information is accomplished through the evidential reasoning (ER) approach, which includes the calculation of indicator weights. The DEA-Malmquist index is utilized to assess the efficiency of carbon emissions management and analyze its total factor productivity based on the integrated indicator information. To demonstrate the efficacy of the proposed model, a case study of 17 corporates in China from 2019 to 2021 is provided to illustrate the analysis of three scopes efficiency distribution, efficiency change and improvement strategy of carbon emissions management. Results discussion show that the proposed model can be used to provide a reference for the improvement effectiveness of carbon emissions management.

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“…However, from a practical point of view, many enterprises still lack sustainable motivation for green transformation [5]. On one hand, the level of green production technology in some enterprises is low, the proportion of traditional resource factors being input is high, and environmental performance is still unsatisfactory [6]. On the other hand, enterprises have to spend abundant money on green technology innovation in its early stages, and increasingly strict environmental regulations are further increasing the operating costs of enterprises, some of which are limited by the pressure of financial constraints and are not yet able to actively choose a green transformation [7].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Enterprise Digital Transformation on Green Technology Innovation: A Quantitative Study on Chinese Listed Companies

et al. 2023

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Promoting enterprise digital transformation is of great significance in accelerating the innovation capability of green technology and boosting green and low-carbon economic development. Therefore, based on the textual analysis of enterprise annual reports, the measurement index of enterprise digital transformation was constructed, and combined with the data of listed, A-share companies in Shanghai and Shenzhen from 2011 to 2021, a quantitative study was conducted on the relationship between enterprise digital transformation and green technology innovation. The quantitative study shows that there is a significant positive correlation between enterprise digital transformation and green technology innovation. The CEO IT background plays a positive moderating role between digital transformation and green technology innovation in enterprises. Based on the quantitative study from the perspective of fiscal incentives, it was found that different fiscal incentive policies play different roles in an enterprises’ digital transformation and green technology innovation; that is, government subsidies play an intermediary role between the two, and tax preferences play a positive moderating role between the two. This research enriches the mechanism analysis between enterprise digital transformation and green technology innovation, and it provides a useful exploration for the further promotion of both enterprise digital transformation and green technology innovation.

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Data-Driven Robust Data Envelopment Analysis for Evaluating the Carbon Emissions Efficiency of Provinces in China

Cited by 14 publications

References 42 publications

A Game Strategy Study on Innovation Efficiency of China’s Listed Charging Pile Companies: Based on Generalized Fuzzy DEA Method

A Game Strategy Study on Innovation Efficiency of China’s Listed Charging Pile Companies: Based on Generalized Fuzzy DEA Method

Carbon emissions management efficiency evaluation based on indicator information integration and DEA-Malmquist index

The Effect of Enterprise Digital Transformation on Green Technology Innovation: A Quantitative Study on Chinese Listed Companies

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