Enhancing the competitiveness of multi-agent cooperation for green manufacturing in China: An empirical study of the measure of green technology innovation capabilities and their influencing factors

Yin, Shi; Zhang, Nan; Li, Baizhou

doi:10.1016/j.spc.2020.05.003

Cited by 89 publications

(52 citation statements)

References 59 publications

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“…According to the research of Rennings [10], scholars discussed the impact of technology-driven [12], marketdriven [11], [15] and environmental regulation [24], [25] on GTI and used the structural equation method, the quantile regression method, the DEMATEL method and the Tobit model for testing [15], [19], [23]. However, previous studies have mainly focused on the "net effect" of single factor on GTI and ignored the matching effects among multiple factors.…”

Section: B．influencing Factors Of Gtimentioning

confidence: 99%

“…Rennings [10] believes that there are three types of factors influencing innovation: technologydriven, market-driven, and environmental regulation, which provide a relatively complete framework. Many scholars have examined the effects of these three types of factors on GTI [11]- [15]. As in the development of smart cities, it is necessary to integrate different influencing factors of a region as a system; that is, the mutual diffusion and influence among influencing factors cannot be ignored [16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on the Regional Differences and Promotion Models of Green Technology Innovation Performance in China: Based on Entropy Weight Method and Fuzzy Set-Qualitative Comparative Analysis

2020

IEEE Access

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Section: B．influencing Factors Of Gtimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Regional Differences and Promotion Models of Green Technology Innovation Performance in China: Based on Entropy Weight Method and Fuzzy Set-Qualitative Comparative Analysis

2020

IEEE Access

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“…Based on the DEMATEL model, some scholars have concluded that there are two core factors affecting the ability of GTI of Chinese manufacturing industry. One is the proportion of green R&D expenditure to total R&D expenditure, the other is the proportion of green new products to total new products [7].…”

Section: The Relationship Between Independent R and D Investment And Gtimentioning

confidence: 99%

The impact of IPP on GTI from the perspective of independent R&D

Yang¹,

Huang²,

Wang³

et al. 2020

Preprint

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Due to the continuous trade friction between China and the United States, for domestic enterprises in China, the cost of importing foreign technologies is increasing. Thus, the independent research and development (R&D) becomes particularly important for the realization of green technology innovation (GTI). This paper establishes a non-linear mediating effect model based on the data of various regions in China from 2012 to 2018. The main results are shown in the following. Firstly, there is an inverted U-shaped relationship between the intensity of intellectual property protection (IPP) and the level of GTI. Furthermore, the independent R&D investment has a masking effect between them. Secondly, by taking the independent R&D investment as a threshold variable, we prove our findings. Considering that the intensity of IPP is at a high level in most regions of China, the above statements mean that the enterprises need to continuously increase their investment in R&D, in order to further improve the regional ability in GTI. Meanwhile, local governments should also stimulate enterprises' willingness to expand their scale in R&D by issuing incentive policies, such as R&D tax incentives and government subsidies.

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“…The diffusion of green technology innovation is slow due to its conflict with the existing institutional environment. According to the new institutional economics, the main institutional factor restricting the innovation of green technology is the free use of environmental resources, which is an externality [9,10]. Therefore, the main hurdle to the diffusion of green technology innovation lies in the internalization of external effects, including ensuring that polluters pay and the realization of the personal benefits of green technology innovation.…”

Section: Introductionmentioning

confidence: 99%

A Three-Player Game Model for Promoting the Diffusion of Green Technology in Manufacturing Enterprises from the Perspective of Supply and Demand

et al. 2020

Self Cite

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Taking the rational use of environmental regulations to promote the diffusion of green technology innovation in China’s manufacturing enterprises as the starting point, this study analyzed the benefits to the government, innovation-supplying enterprises, and potential demand-oriented enterprises. In addition, a tripartite evolutionary model was constructed to examine the impact of command-and-control environmental regulation and market-driven environmental regulation on the diffusion of green technology innovation in manufacturing enterprises. Finally, the study compared and analyzed the heterogeneous effects of different types of environmental regulation tools on the diffusion of green technology innovation in manufacturing enterprises using local stability analysis and numerical simulation. The results are as follows: (i) When the government does not implement environmental regulation tools or the regulation intensity is relatively small, the diffusion depth of green technology innovation in manufacturing enterprises is zero. (ii) When government regulation reaches a certain level, the system of manufacturing enterprises, innovation-supplying enterprises, and potential demand-oriented enterprises will choose to actively promote the diffusion of green technology innovation following a long evolution process. (iii) Increasing the punishment intensity and subsidy rate of green technology innovation can stimulate the diffusion of green technology innovation in manufacturing enterprises. (iv) The comprehensive use of the two kinds of environmental regulation tools has a heterogeneous influence on the strategic choice of green technology innovation diffusion subjects of manufacturing enterprises, and its incentive effect on potential demand-oriented enterprises is relatively poor.

show abstract

Enhancing the competitiveness of multi-agent cooperation for green manufacturing in China: An empirical study of the measure of green technology innovation capabilities and their influencing factors

Cited by 89 publications

References 59 publications

Study on the Regional Differences and Promotion Models of Green Technology Innovation Performance in China: Based on Entropy Weight Method and Fuzzy Set-Qualitative Comparative Analysis

Study on the Regional Differences and Promotion Models of Green Technology Innovation Performance in China: Based on Entropy Weight Method and Fuzzy Set-Qualitative Comparative Analysis

The impact of IPP on GTI from the perspective of independent R&D

A Three-Player Game Model for Promoting the Diffusion of Green Technology in Manufacturing Enterprises from the Perspective of Supply and Demand

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