Cooperative Innovation Research Articles

Evolution of technology collaboration networks for climate change mitigation and mechanisms for their impacts

The number of patent ap plications for climate change mitigation technologies (CCMT) in China has shown a rapid development trend over the past decade. This study applies social network analysis (SNA) method and directed time-exponential random graph model(TERGM), while considering endogenous network structure variables, node variables and external network covariates, to analyze the Climate Change Mitigation Technology Innovation Cooperation Network (CCMTICN) formed in Chinese provinces, and analyzes the influencing factors and evolution of the CCMTICN from 2011 to 2021 using CCMT patent data from the Himmpat database. The results show that CCMTICN shows obvious core-edge structural characteristics; endogenous network structural variables have a non-negligible influence on the formation of the network, and other factors such as the information exchange network, industrialization level, knowledge level, and the degree of governmental intervention can promote the formation of CCMTICN; whereas, foreign direct investment, urbanization level, and carbon dioxide(CO2) emissions can inhibit the formation of CCMTICN. When considering the 11-year time effect of CCMTICN, it is found that the CCMT cooperative relationship between provinces remains relatively stable.

Cooperation of firms’ environmental innovation in a supply chain under government regulation

As climate pollution becomes more severe, there is a growing interest in reducing emissions across all industries. Motivated by the emerging popularity of inter-firm cooperation to reduce carbon emissions in the supply chain, this paper investigates the effect of the firms’ environmental innovation cooperation under government regulation. Specifically, we consider a supply chain with a manufacturer selling products through a retailer, where both firms have asymmetrical environmental innovation efficiencies. Based on whether to cooperate in environmental innovation, the manufacturer and retailer invest in environmental innovation separately or simultaneously. The findings suggest that corporate collaboration, especially environmental innovation cartels, can promote environmental innovation, reducing product emission intensity, further driving down wholesale price, and increasing sales volume. Notably, the more closely firms cooperate, the more beneficial it is for the entire supply chain and consumers, but not necessarily for the manufacturer and retailer simultaneously. In the case of environmental innovation cartels, a two-part tariff contract can coordinate the supply chain, increasing the manufacturer’s and retailer’s profits. Furthermore, cooperation is detrimental to the environment when the carbon tax rate is relatively high. The government should set the intensity of regulation reasonably, considering the environmental innovation mode of firms. As the emission quota grows, carbon tax regulation is more likely to result in fewer emissions and is favored by policymakers. We also extend the model to multiple situations to check the robustness of the results and find our main results remain valid.

Evolutionary game analysis on cross-border cooperative R&D of intelligent new energy vehicle industry

PurposeIntelligent new energy vehicles (INEVs) are becoming the competitive hotspot for the automobile industry. The major purpose of this study is to determine how to increase innovation efficiency through knowledge sharing and technology spill between new energy vehicle (NEV) enterprises and technology enterprises. This will help to improve the core competence of the automobile industry in China. Also, it serves as a guide for the growth of other strategic.Design/methodology/approachThe authors construct a tripartite evolutionary game model to study the cross-border cooperative innovation problem. Firstly, the payment matrix of NEV enterprise, technology enterprise and government is established, and the expected revenue of each participant is determined. Then, the replication dynamic equations and evolutionary stability strategies are analyzed. Finally, the theoretical research is validated through numerical simulation.FindingsResults showed that: (1) An optimal range of revenue distribution coefficient exists in the cross-border cooperation. (2) Factors like research and development (R&D) success rate, subsidies, resource and technology complementarity, and vehicles intelligence positively influence the evolution towards cooperative strategies. (3) Factors like technology spillover risk cost inhibit the evolution towards cooperative strategies. To be specific, when the technology spillover risk cost is greater than 2.5, two enterprises are inclined to choose independent R&D, and the government chooses to provide subsidy.Research limitations/implicationsThe research perspective and theoretical analysis are helpful to further explore the cross-border cooperation of the intelligent automobile industry. The findings suggest that the government can optimize the subsidy policy according to the R&D capability and resource allocation of automobile industry. Moreover, measures are needed to reduce the risk of technology spillovers to encourage enterprise to collaborate and innovate. The results can provide reference for enterprises’ strategic choice and government’s policy making.Originality/valueThe INEV industry has become an important development direction of the global automobile industry. However, there is limited research on cross-border cooperation of INEV industry. Hence, authors construct a tripartite evolutionary game model involving NEV enterprise, technology enterprise and the government, and explore the relationship of cooperation and competition among players in the INEV industry, which provides a new perspective for the development of the INEV industry.

Evolutionary Game Analysis on Cooperative Behavior of Major Projects’ Technology Innovation Subjects under General Contracting Mode

Major projects are the important platform for enhancing a country’s comprehensive national power and strengthening its capacity for independent innovation. Although major projects in China have made remarkable achievements, willingness to cooperate and innovate has not achieved the desired target. In this paper, the evolutionary game model of cooperative innovation behavior of general contractors and subcontractors is constructed by considering reputational factors. Through theoretical derivation, the influence of the distribution ratio of collaborative innovation benefit, spillover technology absorption capacity, and reputation discounting coefficient on innovation behavior is analyzed. Finally, MATLAB software is used to simulate the dynamic evolution process of strategy selection. The results show that (1) a reasonable benefit distribution coefficient can promote the evolution of innovation behavior in a positive direction; (2) both the reduction of innovation cost and the increase of spillover technology absorption capacity can make the innovation subject more inclined to choose the active collaborative innovation strategy; and (3) it is the higher-than-threshold reputation loss that can effectively inhibit the “free-rider” behavior. The research conclusions and managerial implications can provide reference for improving the willingness to cooperate in major projects’ technology innovation.

Research on Talent Cultivation Mode Based on Industrial Colleges: Taking TCL Ace Industry College of Huizhou Technician Institute as an Example

Industrial colleges represent a new form of vocational colleges and are an innovative school-enterprise cooperation model. The main participants in this collaborative construction are industries, enterprises, and schools. In higher vocational education and applied undergraduate programs, the development of industrial colleges has become relatively mature. However, in vocational colleges and technical schools, the construction of industrial colleges is still in its initial stage. There are no mature experiences to refer to. Therefore, determining a talent cultivation mode that is practical and distinct from higher vocational and applied undergraduate education is of significant theoretical and practical importance for vocational colleges. This paper aims to explore the current status and existing problems of the talent cultivation mode in industrial colleges of vocational colleges. Taking the Intelligent Design and Manufacturing TCL Ace Industry College, jointly built by Huizhou Technician Institute and TCL Group, as an example, it discusses the research on talent cultivation mode in the innovative cooperation of industrial colleges, providing theoretical support and practical guidance for promoting the construction and development of industrial colleges.

Cooperation in Digital Innovation Under the Master Plan on Asean Community (MPAC) in Muslim Asean Countries

This study examines the present conditions and obstacles faced by digital innovation in Indonesia and Malaysia, explicitly focusing on Muslim ASEAN countries. Additionally, it seeks to identify potential areas for collaboration and cooperation within the framework of the Master Plan on ASEAN Connectivity (MPAC) in Digital Innovation, such as the Quick Response Indonesian Standard (QRIS) in Indonesia and Malaysia. Besides, this qualitative study employed a literature review. In addition, the collaboration between Indonesia and Malaysia on the Master Plan on ASEAN Connectivity (MPAC) in Digital Innovation, particularly in Quick Response Indonesia Standard (QRIS), can significantly improve economic integration and social growth in Muslim ASEAN nations. The result of this study is that Through the implementation of QRIS. This digital payment system makes use of QR codes to carry out transactions across international boundaries, reducing the costs of transactions. According to the author, this study is a first attempt to build a factual and theoretical basis for the researcher's analysis of the cooperation on the Master Plan on ASEAN Connectivity (MPAC) in digital innovation in Muslim countries in the ASEAN region, including Indonesia and Malaysia.

Development Status and Evolution Analysis of Cooperative Innovation Network in The New Energy Vehicle Industry

As a strategic emerging industry, new energy vehicles are very important to the economic development of a country. The new energy vehicle industry has entered a new stage of accelerated development. However, at present, there is still a gap between the driving force of technological innovation in China's new energy vehicle industry and developed countries, and the cooperation and innovation of enterprises in the industrial chain still need to be improved in terms of complementarity and closeness of cooperation. Based on the cooperative patent data of enterprises in the new energy vehicle industry from 2010 to 2020, this paper divides it into three stages, and uses the spatial analysis tool of ArcGIS software to systematically analyze the spatial distribution characteristics of cooperative innovation networks in various provinces. The results show that more and more enterprises are choosing collaborative innovation. The conclusions of this study can put forward relevant policy suggestions for enterprises in China's new energy vehicle industry to achieve high-quality technological innovation.

Can university-enterprise cooperative innovation promote total factor productivity? – Evidence from Chinese-listed firms

ABSTRACT Based on the patent data of university-enterprise cooperative innovation (UECI) from CNIPA and the financial data of Chinese listed companies from 2010 to 2022, we find that UECI can promote the total factor productivity (TFP) of enterprises and that the average application value of each UECI patent is 29.07 million yuan, and confirm the robustness of our conclusions using the instrumental variables method, system GMM and the Heckman two-step method. The results of the mediation analysis show that UECI promotes the TFP of enterprises through three channels: alleviating financing constraints, attracting more knowledge workers and increasing the innovation efficiency of the enterprise. UECI can build alumni linkages between universities and enterprises, expand financing channels and attract more university students to join the company after cooperation, thus increasing their workers’ overall education level. UECI can also enable the firm to emulate academics how to innovate more effectively. Heterogeneity analysis shows that UECI can lead to a higher TFP improvement for enterprises in the leasing and business service industry and scientific research and technology service industry, which are 97 and 3 times higher than the baseline regression, respectively.

Multi-group symbiotic evolutionary mechanisms of a digital innovation ecosystem: Numerical simulation and case study.

In the digital innovation ecosystem, the symbiosis mode formed between ecosystem members not only relates to their survival and development but also affects the ecosystem's symbiosis evolution mechanism. Based on symbiosis theory, this study first explores the evolutionary equilibrium strategy and its stability for three types of populations-core enterprises, digital platforms, and university research institutes-and then uses numerical simulation and a case study to explore the symbiotic evolution mechanism of the digital innovation ecosystem. The results show that: First, the digital innovation ecosystem is a complex adaptive system in which the three types of populations form different symbiotic relationships under different symbiotic modes and conduct symbiotic activities, such as value co-creation, to characterize the unique symbiotic evolutionary structure. Second, in this ecosystem, the symbiotic relationship formed by the combined values of different symbiotic coefficients between populations determines the outcome of symbiotic evolution. Third, the ideal direction of the evolution of the digital innovation ecosystem is a mutually beneficial symbiotic relationship. Thus, the symbiotic relationship between populations should be transformed into a mutually beneficial symbiotic relationships as much as possible. This study makes theoretical contributions by shedding light on the symbiotic evolution mechanism of the digital innovation ecosystem. It also offers countermeasures for the digital innovation cooperation of various stakeholders in China's digital innovation ecosystem.

Boundary-Spanning Knowledge Search and Absorptive Capacity in Cooperative Innovation: A Study on Non-Core Firms in the Context of Sustainable Development

Boundary-Spanning Knowledge Search and Absorptive Capacity in Cooperative Innovation: A Study on Non-Core Firms in the Context of Sustainable Development

Quadruple helix in reality: An empirical inquiry into innovation cooperation triggering competitiveness in central and northeastern Europe

Quadruple helix in reality: An empirical inquiry into innovation cooperation triggering competitiveness in central and northeastern Europe

DEVELOPING AN INTERSTATE FRAMEWORK FOR TRANSFERRING INNOVATION INITIATIVES TO THE DIGITAL ECONOMY

In the dynamic landscape of rapid scientific and technological advancements, coupled with the prioritization of innovation in economic activities, the importance of international collaboration in fostering innovation has grown significantly. This collaboration stands as a pivotal factor in shaping and enhancing the structure and infrastructure of innovative endeavors for both nations and corporations. The classification of international innovation cooperation, categorized into scientific research and development, industrial production, and science and education, underscores its multifaceted nature. The Republic of Uzbekistans dedicated efforts in these domains with Germany, Russia, and the Republic of Belarus have resulted in the implementation of 38 projects valued at 9.6 billion soums. Additionally, joint project competitions with Eurasian countries, Turkey, China, and India have been announced, showcasing a proactive approach. The tangible outcome of these initiatives is evident, as 30 billion soums have been raised to fund scientific programs, thereby serving as a catalyst for stimulating scientific creativity. KEYWORDS: Innovative Cooperation, Digital Economy, Investments, International Cooperation, Scientific Projects.

Local Inter-Governmental Cooperation in Regional Innovation in China: Historical Evolution and Logic of Change

Under the innovation-driven development strategy, inter-governmental cooperation in regional innovation has proliferated, but the historical change logic of local government participation in innovation cooperation has not been explained yet. Based on the theoretical paradigm of historical institutionalism, this paper attempts to construct a "structure-history-action" analytical framework for local government participation in innovation cooperation. Based on the theoretical paradigm of historical institutionalism, this paper attempts to construct a "structure-history-action" analytical framework for inter-governmental cooperation in regional innovation. In the course of more than forty years of change, inter-governmental cooperation in regional innovation in China can be divided into four stages. In the course of more than forty years of change, inter-governmental cooperation in regional innovation in China can be divided into four stages. Firstly, it has been driven by structural conditions in macro-institutional change; secondly, 'path dependence' Firstly, it has been driven by structural conditions in macro-institutional change; secondly, 'path dependence' caused by political and cultural genes, administrative institutional traditions and the 'key nodes' that drive change. Finally, the perceptions and interests of local governments, as micro-actors, have profoundly shaped the direction of change. On this basis, the development path of inter- governmental cooperation in regional innovation is proposed: strengthening the top-level design of innovation cooperation and optimizing.

Institutional openness, technological progress and national economic growth—evidence from the Belt and Road science and technology innovation cooperation policy

ABSTRACT We use Global Innovation Index data from 2013 to 2022 to study the impact of China’s “Special Plan for Scientific and Technological Innovation Cooperation in the Construction of the Belt and Road” (STIC) policy on per capita gross domestic product (PGDP) of countries along the route. The results show that the STIC policy increases PGDP through continuously promoting technological progress. For countries with low human capital and countries with low technological capabilities, the impact of the policy is more obvious. Our study provides a new perspective for exploring the economic effects of the Belt and Road Initiative.

Research on Chengdu-Chongqing Urban Agglomeration and Guangdong-Hong Kong-Macao Greater Bay Area Innovation Network Structure

Under the background of factor-driven to innovation-driven, urban innovation is very important in the regional development pattern.In this paper, Chengdu-Chongqing urban agglomeration and Guangdong-Hong Kong-Macao Greater Bay Area are taken as the research objects. Based on the co-authored data of papers among cities, a theoretical knowledge innovation network is constructed.With the help of social network analysis method, the overall characteristics and network centrality are compared and analyzed, thus revealing the development status of Chengdu-Chongqing urban agglomeration and Guangdong-Hong Kong-Macao Greater Bay Area knowledge innovation network.The empirical research shows that: (1) During the research period, the overall density and agglomeration capacity of Guangdong-Hong Kong-Macao Greater Bay Area theoretical knowledge innovation cooperation network are higher than those of Chengdu-Chongqing urban agglomeration. (2) Dual-core cities Chongqing, Chengdu, Guangzhou and Shenzhen have significant innovation polarization effects.

How Can Small and Medium-Sized Manufacturing Enterprises Improve Green Innovation Performance through Innovation Ecosystems?

Under the fierce business competition and sustainable development pressure, the pattern of enterprise innovation has gradually changed from independent innovation to cooperative innovation. As a collection of multi-type innovation actors, the innovation ecosystem provides opportunities and platforms for cooperative innovation among government–industry–university–research institutions. While the present studies on innovation ecosystems are mostly from the perspective of the system level, few studies pay attention to the innovation mechanism of small and medium-sized manufacturing enterprises (SMMEs) in the innovation ecosystem. Therefore, this study takes SMMEs embedded in innovation ecosystems as research objects and explores the factors affecting green innovation. We constructed a theoretical model to explain the effect of innovation eco-embeddedness on green innovation performance based on ecosystem theory and network embeddedness theory; we then collected 363 samples of SMMEs in China through surveys and further tested the data empirically. The results show that the innovation eco-embeddedness (IEE) of SMMEs has a positive effect on their green innovation performance (GIP), and their green value co-creation practices (GVCCPs) partially mediate the relationship between IEE and GIP. Moreover, ecological norms (ENs) in the innovation ecosystem not only positively moderate the impact of IEE on GVCCPs but also positively moderate the mediating role of GVCCPs. This study enriches the relevant research on innovation ecosystems from the perspective of non-core enterprises and provides a theoretical basis and practical reference for SMMEs to implement green innovation practices and realize growth through innovation ecosystems.

Strategic management of intellectual property for technology as an object of civil law relations

Strategic management of intellectual property for technology as an object of civil law relations

Evolution game model and simulation of enterprise R&D cooperative innovation network under network externalities

ABSTRACT Multi-agent cooperation, pooling innovative resources, helps to develop key technologies and major projects in enterprises. However, the multi-agent cooperation of enterprises makes the cooperative relationship unstable, and behaviours such as moral hazard, spillover of technology or information are more likely to occur, thereby increasing the risk of enterprises. In this research an enterprise R&D cooperative evolutionary game model is built to investigate the influence of Network externalities on enterprise R&D cooperation in innovation networks. Furthermore, the evolution of innovative network structure of game results is simulated by means of computer technology so that the effects of network externalities on corporation degree, agglomeration and network structure are analyzed. The results show that Network externalities led to a decrease of cooperated partners, a decline in cooperation degree and agglomeration of enterprises, and a shrinking enterprise R&D cooperation tendency. The influence of network externalities shows significant structural differences in the three types of enterprise networks: the degree of enterprise cooperation and agglomeration fluctuates greatly in the scale-free network, but slightly in the small-world network and the random network.

Land-based cooperation for alternative livelihoods in Laos: Case studies of Chinese agricultural companies

The eradication of illicit drug crops in developing countries through international agricultural cooperation in alternative livelihoods is a new mode of clean production. This paper examines the market-oriented alternative livelihood (AL) model implemented by Chinese agricultural companies in Laos, focusing on land-based cooperation between these companies, local authorities, and communities. It aims to reveal the conditions for successful land-based cooperation and mutual trust building with local communities and government agencies. Three Chinese companies involved in alternative cultivation projects in Laos are selected as case studies. The findings highlight the market-oriented AL model as a beneficial approach to transition from illicit crop cultivation to clean production. The study emphasizes the importance of land-based cooperation and trust building for the sustainable operation of market-oriented alternative livelihoods. Challenges faced by the companies include managing international market risks and developing locally-led technical and management teams. The research underscores the need for inclusive innovation in land-based cooperation and alternative livelihoods in the Global South. It calls for further exploration of innovative approaches to inclusive cooperation, local empowerment, and capacity building. The study contributes to understanding the potential of international agricultural cooperation in promoting alternative livelihoods and sustainable development in illicit crop-growing regions.

Exploring the Effects of Multi-Governance Mechanisms throughout the Dynamic Evolution of the Cooperative Innovation Network

The sustainable evolution of cooperative innovation networks is determined to a great extent by the effectiveness of their governance mechanisms. In this study, we draw from social network and stakeholder theories to emphasize two types of mechanisms that coordinate cooperative innovation: the internal drivers of transitivity and status, which are endogenous mechanisms of network embeddedness, and the external drivers of association autonomy, industrial policy support, and institutional environment establishment, which are the governing effects of external stakeholders. We constructed cooperative innovation networks using a dataset on joint applications for patents in China’s electronics information industry during 2006–2018 and applied a Stochastic Actor-Oriented Model (SAOM) for analytical purposes. The findings show that as networks evolve, the effect of transitivity on cooperative innovation first slightly decreases and then intensifies. The influence of status and industrial policy support intensifies first and then weakens. The impact of association autonomy remains stable, and institutional environment establishment on cooperative innovation intensifies. We also provide theoretical and managerial implications for the dynamic evolution of cooperative innovation networks.