How does alliance-based government-university-industry foster cleantech innovation in a green innovation ecosystem?

Yang, Zhi; Chen, Heng; Du, Lei; Lin, Chaoran; Wei, Lixiang

doi:10.1016/j.jclepro.2020.124559

Cited by 81 publications

(58 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nylund et al (2021) addressed specially the IE for meeting the SDGs considering multinational enterprises. In addition, the main authors addressing both sustainability and IE are Trischler et al (2020), Russell andSmorodinskaya (2018), Yin et al (2020), Yang, Chen, Du, Lin, andLu (2021), Oksanen and Hautamäki (2015), Zeng, Hu, and Ouyang (2017) Amitrano, Tregua, Russo Spena, and Bifulco (2018), J. Huang et al (2020), Gerli, Chiodo, andBengo (2021), Costa and Matias (2020), Tolstykh et al, (2020a, 2020b), and Boyer (2020.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Innovation Ecosystem framework directed to Sustainable Development Goal #17 partnerships implementation

Duarte

Reis

Fleury

et al. 2021

Sustainable Development

View full text Add to dashboard Cite

Partnerships are demanded to implement a more integrated approach to sustainable development problems. The complex character of sustainability requires the participation of many societal spheres to resolve them. Sustainable Development Goal #17Strengthen the means of implementation and revitalize the global partnership for sustainable development" recognizes multi-stakeholder partnerships as important vehicles for mobilizing and sharing knowledge, expertise, technologies, and financial resources to support the achievement of the SDGs in all countries. Innovation Ecosystems (IE) are dynamic purposive multi-stakeholders' networks with complex relationships built on trust, co-creation of value, and exchange of complementary technologies or competencies. Few studies investigated the IEs relating to sustainability and specially within the SDGs. This study provides a descriptive analysis of the relationship between IE and the SDGs, concerning the question about how the IE framework can orient the SDG #17 partnership implementation. The methodology is based on the literature review and analysis of documents from the United Nations, available at the UN Sustainable Development Knowledge Platform -2021. Four core drivers were identified and discussed: Geographical Governance, Collaboration, Knowledge Transmission, and Value co-creation. Considering the IE lens, the SDGs can be addressed as the purpose engaging the Major Groups, which are the key contributors in terms of being part of the challenges and solutions. There is a need to prepare stakeholders to be ecosystem conscious and aware of the demanded innovations. Future research should include describing methods to measure IE performance considering the SDGs and empirical studies to analyze the ecosystem roles and relations of the Major Groups.

show abstract

Section: Methodsmentioning

confidence: 99%

“…According to Yang et al (2021) and a more integrated perspective (Schroeder, Anggraeni, & Weber, 2019). Collaboration between multi-stakeholders looking for scale impact, in diverse contexts, and over time, is fundamental to implementing the SDGs (Bowen et al, 2017).…”

Section: Collaborationmentioning

confidence: 99%

Innovation Ecosystem framework directed to Sustainable Development Goal #17 partnerships implementation

Duarte

Reis

Fleury

et al. 2021

Sustainable Development

View full text Add to dashboard Cite

show abstract

“…GTI is a term widely used in different research areas, its goal being to achieve cleaner production, improving environmental performance, and promoting the comprehensive utilization of resources and energy [ 38 , 39 , 40 , 41 ]. It not only emphasizes technological innovation to save resources and energy, but also requires the reduction or even elimination of pollution and damage to the ecological environment [ 20 ].…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis

Zeng

et al. 2022

IJERPH

View full text Add to dashboard Cite

The Paris agreement is a unified arrangement for the global response to climate change and entered into force on 4 November 2016. Its long-term goal is to hold the global average temperature rise well below 2 °C. China is committed to achieving carbon neutrality by 2060 through various measures, one of which is green technology innovation (GTI). This paper aims to analyze the levels of GTI in 30 provinces in mainland China between 2001 and 2019. It uses the spatial econometric models and panel threshold models along with the slack based measure (SBM) and Global Malmquist-Luenberger (GML) index to analyze the spatial spillover and nonlinear effects of GTI on regional carbon emissions. The results show that GTI achieves growth every year, but the innovation efficiency was low. China’s total carbon dioxide emissions were increasing at a marginal rate, but the carbon emission intensity was declining year by year. Carbon emissions were spatially correlated and show significant positive agglomeration characteristics. The spatial spillover of GTI plays an important role in reducing carbon dioxide emissions. In the underdeveloped regions in China, this emission reduction effect was even more significant.

show abstract

“…Lee and Miozzo proposed that knowledge-intensive business services firms should collaborate with universities and indicated that the cooperation between companies and universities was different from cooperation between companies [37]. Based on evolutionary game theory, Yang et al built a model to evaluate the collaborative and evolutionary process of government-university-industry and analyzed that industry and university would adopt the collaborative and betrayal strategy [38]. Yu et al examined an R&D collaboration alliance that consisted of an innovator and a marketer and demonstrated that a marketer chooses a contract strategy based on the trade-off between R&D efficiency and sales efficiency [39].…”

Section: Literature Reviewmentioning

confidence: 99%

Chain Innovation Mechanism of the Manufacturing Industry in the Yangtze River Delta of China Based on Evolutionary Game

Zhao

2021

Sustainability

View full text Add to dashboard Cite

It is of great theoretical and practical significance to achieve high-quality development that promotes the transformation of digestion, absorption, and re-innovation to an independent innovation model, actively participating in the restructuring of the industrial chain, and enhancing the status of the Yangtze River Delta in the global innovation chain. This study constructs a tripartite evolutionary game model of collaborative innovation led by the government, participated by upstream enterprises and downstream enterprises. Moreover, this article analyzes the strategic choices of the tripartite entities in the process of collaborative innovation, and the simulation analyzes the influencing factors of the government, upstream enterprises, and downstream enterprises’ collaborative innovation strategy selection. The results indicate that the government, upstream enterprises, and downstream enterprises have different degrees of influence on each other’s willingness to participate. In addition, the analysis proves that government policy support and financial support have different impacts on upstream enterprises and downstream enterprises.

show abstract

How does alliance-based government-university-industry foster cleantech innovation in a green innovation ecosystem?

Cited by 81 publications

References 104 publications

Innovation Ecosystem framework directed to Sustainable Development Goal #17 partnerships implementation

Innovation Ecosystem framework directed to Sustainable Development Goal #17 partnerships implementation

The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis

Chain Innovation Mechanism of the Manufacturing Industry in the Yangtze River Delta of China Based on Evolutionary Game

Contact Info

Product

Resources

About