Assessing the green distribution transformer manufacturing process using a cloud-based q-rung orthopair fuzzy multi-criteria framework

Shang, Wen-Long; Zhang, Haoran; Garg, Harish; Han, Chunjia

doi:10.1016/j.apenergy.2022.118687

Cited by 50 publications

(19 citation statements)

References 61 publications

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“…Getting to know industry efficiency is crucial for designing tailored energy efficiency and adaptation policies for policymakers and managers working on the healthy and sustainable development of China's lithium battery industry. As we only viewed R&D in general, our suggestions could also be linked with suggestions from other studies that focus on specific aspects of sustainable development, such as green supply chain (Liu et al, 2022) and manufacturing process (Yang et al, 2022), to form a comprehensive policy plan.…”

Section: Policy Implicationsmentioning

confidence: 99%

Evaluating R&D efficiency of China’s listed lithium battery enterprises

Bai

Han

et al. 2022

Front. Eng. Manag.

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Promoting the growth of the lithium battery sector has been a critical aspect of China’s energy policy in terms of achieving carbon neutrality. However, despite significant support on research and development (R&D) investments that have resulted in increasing size, the sector seems to be falling behind in technological areas. To guide future policies and understand proper ways of promoting R&D efficiency, we looked into the lithium battery industry of China. Specifically, data envelopment analysis (DEA) was used as the primary approach based on evidence from 22 listed lithium battery enterprises. The performance of the five leading players was compared with that of the industry as a whole. Results revealed little indication of a meaningful improvement in R&D efficiency throughout our sample from 2010 to 2019. However, during this period, a significant increase in R&D expenditure was witnessed. This finding was supported, as the results showed that the average technical efficiency of the 22 enterprises was 0.442, whereas the average pure technical efficiency was at 0.503, thus suggesting that they were suffering from decreasing returns to scale (DRS). In contrast, the performance of the five leading players seemed superior because their average efficiency scores were higher than the industry’s average. Moreover, they were experiencing increasing scale efficiency (IRS). We draw on these findings to suggest to policymakers that supporting technologically intensive sectors should be more than simply increasing investment scale; rather, it should also encompass assisting businesses in developing efficient managerial processes for R&D.

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Section: Policy Implicationsmentioning

confidence: 99%

Evaluating R&D efficiency of China’s listed lithium battery enterprises

Bai

Han

et al. 2022

Front. Eng. Manag.

Self Cite

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“…Steps are as follows: calculat weight to calculate the judgment matrix of the maximum characteristic root and corresponding eigenvectors, the largest eigenvalue of the matrix by solving consistency corresponding eigenvectors as weight vector [31][32][33][34].…”

Section: E Eory Of Fuzzy Ahpmentioning

confidence: 99%

Development Potential Evaluation for Land Resources of Forest Tourism Based on Fuzzy AHP Method

Cao

2022

Mathematical Problems in Engineering

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With the development of modern economy and society, people have higher and higher requirements for spiritual needs request. The demand of traveling is a key growth point of the people’s spiritual needs. Forest tourism has become an important part of the forestry modernization. Its reasonable development can provide a site for urban residents’ leisure and health preservation, and help the revitalization of local villages and economic development. However, there are few studies on the evaluation methods of forest tourism land resources potential development around the world nowadays, and the planning and development of forest land resources are also lack of scientific guidance. The research work of this paper is carried out based on the realistic problems above, through analyzing the characteristics of the land resources of forest tourism, carding the main indicators of forest land resources development value, and fuzzy analytic hierarchy process (AHP) is studied to evaluate its development potential. The relevant conclusions can provide a theoretical guidance for the forest land resources development and planning, which will improve the development quality and effect of forest land resource.

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“…e multi-index method is based on the input-output perspective, using SFA and DEA methods to measure carbon productivity in economic development [18]. However, research methods and the research perspectives of scholars are different; there are significant differences in research results [35]. e single-index method directly uses GDP divided by carbon emissions to characterize carbon productivity.…”

Section: Variable Description and Data Processingmentioning

confidence: 99%

Does Digital Economy Contribute to Regional Carbon Productivity? Evidence of China

Pang

2022

Mathematical Problems in Engineering

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With breakthroughs in big data, communication networks, artificial intelligence, and other next-generation information technologies, intelligent production methods and digital lifestyles have risen rapidly. Digital economy has become a significant force in promoting regional low-carbon development as a new economic form in the important period of the intersection of digitalization and “carbon peaking and carbon neutrality goals.” This paper empirically explores the moderating role and threshold role of human capital in digital economy and regional carbon productivity by systematically measuring digital economy indicators. Research shows that China’s digital economy development index is rising annually. However, the development of digital economy varies significantly between different regions. The results of moderating effect showed that human capital accumulation could dramatically strengthen the role of digital economy in promoting regional carbon productivity. The results of the threshold effect showed that human capital plays an important threshold role in the relationship between digital economy and regional carbon productivity. This paper provides a practical reference for exploring power sources, policy design, and path selection of low-carbon development.

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Assessing the green distribution transformer manufacturing process using a cloud-based q-rung orthopair fuzzy multi-criteria framework

Cited by 50 publications

References 61 publications

Evaluating R&D efficiency of China’s listed lithium battery enterprises

Evaluating R&D efficiency of China’s listed lithium battery enterprises

Development Potential Evaluation for Land Resources of Forest Tourism Based on Fuzzy AHP Method

Does Digital Economy Contribute to Regional Carbon Productivity? Evidence of China

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