Sustainable Financing Efficiency and Environmental Value in China’s Energy Conservation and Environmental Protection Industry under the Double Carbon Target

Li, Baohong; Huo, Yingdong; Yin, Shi

doi:10.3390/su14159604

Cited by 18 publications

(11 citation statements)

References 56 publications

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“…Nuria et al (2022) pointed out that there are still challenges such as poor efficiency and insufficient electrical function in integrated building photovoltaics (BIPV), and proposed solutions to these challenges [25]. Li et al (2022) applied data envelopment analysis (DEA) and Malmquist index, Tobit model was used to estimate the impact of digital transformation, green technology innovation and other factors on financing efficiency of 205 energy-saving and environmental protection industries in China. The empirical results show that DGI has a significant positive impact on promoting the development of energy-saving and environmental protection enterprises [26].…”

Section: Dgi Of Pbmsmentioning

confidence: 99%

“…Li et al (2022) applied data envelopment analysis (DEA) and Malmquist index, Tobit model was used to estimate the impact of digital transformation, green technology innovation and other factors on financing efficiency of 205 energy-saving and environmental protection industries in China. The empirical results show that DGI has a significant positive impact on promoting the development of energy-saving and environmental protection enterprises [26]. Zhang et al (2023) proposed that digital transformation has a positive impact on promoting the development of GI and reducing enterprise costs [27].…”

Section: Dgi Of Pbmsmentioning

confidence: 99%

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A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Hu,

Sun,

Yin

et al. 2023

Environ. Res. Commun.

Self Cite

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Under the current ‘double carbon’ policy, the building materials manufacturing industry has seriously restricted the improvement of social and environmental benefits. Digital green innovation (DGI) in photovoltaic building materials enterprises (PBMES) plays a crucial role in solving the problems of high-quality environmental and economic development. In order to make the DGI of PBMES more effective, it is very critical to evaluate the performance of the DGI activities of PBMES. First, the evaluation index system is constructed. Then, it constructs the theoretical framework of the DGI performance evaluation of PBMES. After that, on the basis of combining various evaluation methods, a combination evaluation model based on compatibility and consistency was constructed and the convergence test and consistency test of the combination evaluation results were carried out by means of the variance method and Spearman rank correlation coefficient, which verified the scientificity and validity of the method. Finally, using the evaluation model, 16 PBMES were empirically studied. It reflected that the DGI performance evaluation index system of PBMES is composed of four indexes, namely, technology input, economic output, scientific and technological output, and social effect. The key factors affecting the DGI performance of PBMES are the investment in talent training, the proportion of digital technology in green products, the success rate of digital innovation product development increased by DGI cooperation, and the digital level of adopting environmental management system. This article combines consistency-based evaluation methods to not only obtain reasonable evaluation results, but also fully utilize multi-level methods to better describe the evaluation object. The means provided in this article are a new way to solve the DGI performance evaluation of PBMES.

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Section: Dgi Of Pbmsmentioning

confidence: 99%

Section: Dgi Of Pbmsmentioning

confidence: 99%

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Hu,

Sun,

Yin

et al. 2023

Environ. Res. Commun.

Self Cite

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“…In terms of technology, scholars discuss the role of renewable energy technology on ECEPI (Wei et al , 2022; Kinoshita, 2020) and the contributions of renewable energy to the development of sustainable strategy (Lund, 2007), they consider that renewable energy technologies are generally beneficial in promoting the development of ECEPI. In terms of capital, scholars focus on the driving factors of capital allocation efficiency (Geng and Cui, 2020), they explore the impacts of environmental regulation, infrastructure condition, financial development and government support on capital allocation efficiency of ECEPI, as well as on the determinants and evaluation of financing efficiency in ECEPI (Jin et al , 2021; Li et al , 2022); these studies find that financial supervision, firm scale, digital transformation, green technology innovation and the asset–liability ratio have impacts on financing efficiency of ECEPI. In terms of innovation, Xu (2018) discusses the influence of alliance innovation network structure on enterprise innovation in ECEPI.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring collaborative innovation evolution of China’s energy conservation and environmental protection industry: a social network analysis based on patents

Liu,

Guo,

2023

JBIM

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Purpose Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy conservation and emission reduction, develop green economy and circular economy. However, China’s ECEPI is still in the stage of rapid development and the overall scale is relatively small, what development periods have the ECEPI experienced? This study aims to contribute to a better understanding of collaborative innovation evolution based on social network analysis from the perspective of multi-dimensional proximity. Design/methodology/approach Methodologically, this study uses social network analysis method to explore the co-evolution of multidimensional collaboration networks. It divides China’s ECEPI into four periods based on national policies from 2001 to 2020. This contribution constructs collaborative innovation networks from geographical, technological and organizational proximity. Findings The results show that the collaborative innovation network was initially formed in the central region of China, gradually expanded to neighboring cities and the core positions of Beijing, Jiangsu and Guangdong have been continuously consolidated. C02F has been the core of the collaboration networks, and the research focus has gradually shifted from the treatment of wastewater, sewage or sludge to the separation field. Enterprises always occupy a dominant position in the collaboration networks. Originality/value This research investigates the dynamic evolution process of collaborative innovation network in China’s ECEPI from the perspective of multidimensional proximity, explores the community structure, important nodes and multidimensional proximity features in the network, expands the research perspective on evolution characteristics of innovative network and the research field of social network analysis. Theoretically, this study enriches collaborative innovation theory, social network theory and multi-dimensional proximity theory.

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“…(3) Considering the fact that the objective evaluation information about decision criteria and the difference of DM's subjective characteristics has significant impact on the processing effect of uncertain information, it is imperative that both the objectivity and subjectivity of criteria and DMs are taken into account simultaneously under the P-NRN environment in order to make the assessment results more accurate and convincing. (4) Due to the limitations of the techniques and models, the abundance of alternatives, and the ambiguity of evaluation, some previous studies have failed to effectively deal with the vague and inconsistent information that usually exists in the decision-making process of sustainable financing [4,48].…”

Section: Motivationmentioning

confidence: 99%

An Integrated Decision-Making Model Based on Plithogenic-Neutrosophic Rough Number for Sustainable Financing Enterprise Selection

2022

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Due to the continuous improvement of people’s awareness of sustainable development, sustainable financing enterprise selection (SFES) has gradually become a hotspot in the field of multi-criteria group decision-making (MCGDM). In the environment of increasing risk factors, how to accurately and objectively select the optimal enterprise for financing is still pending. Thus, this paper proposes an integrated plithogenic-neutrosophic rough number (P-NRN) information aggregation decision model. The model is adapted to group decision-making by taking advantages of plithogenic set operations in handling uncertainty and vagueness and the merit of NRN in eliminating imprecision and subjectivity of decision-makers (DM) in evaluating information boundaries. Then, this paper develops an MCGDM framework based on the weight determination techniques and complex proportional assessment (COPRAS). Moreover, by extending the similarity measure theory and the maximizing deviation method, the weights of DMs and risk criteria are derived, respectively. After obtaining the results of P-NRN information aggregation and weight evaluation, we apply COPRAS to conduct alternative ranking and select the optimal one. The proposed model is successfully implemented in a real case of financing enterprise selection, and comparisons with five representative tools from three decision-making phases are performed to verify the superiority of the model in dealing with uncertainty and subjectivity.

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Sustainable Financing Efficiency and Environmental Value in China’s Energy Conservation and Environmental Protection Industry under the Double Carbon Target

Cited by 18 publications

References 56 publications

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Exploring collaborative innovation evolution of China’s energy conservation and environmental protection industry: a social network analysis based on patents

An Integrated Decision-Making Model Based on Plithogenic-Neutrosophic Rough Number for Sustainable Financing Enterprise Selection

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