International Innovation Collaboration in China

At present, China is in the critical period of economic growth transformation and structural adjustment. Strengthening international innovation cooperation is becoming extremely important. However, there are distinctive characteristics of international innovation collaboration that differ from domestic research collaboration, so that international innovation collaboration meets more challenges compared with other kinds of research collaboration. This chapter attempts to analyze China’s international innovation cooperation from a more macro level. Combining theory with practice, the chapter analyzes the necessity of international innovation cooperation, China’s practice and experience, and the status quo of China’s international cooperation. The chapter provides suggestions for solving the problems existing in the present stage. It also collates and forecasts the future research areas of international innovation cooperation.

Enterprise Reciprocity and Risk Preferences and the Sustainable Cooperation of Innovation Activities in Industrial Parks

The sustainable cooperation of innovation in industrial parks is of great significance to the sustainable development of enterprises and parks. Factors explaining enterprise innovation cooperation activities in industrial parks have attracted great attention in scholarly research. In this article, a preference-based snowdrift game model on complex networks is proposed, where different combinations of enterprise reciprocity and risk preferences are introduced into the game model. The impact of these preferences on the sustainability of cooperation in mature and less-mature parks, characterized by different network styles, is examined through simulations. The investigation reveals that reciprocity and risk preferences have an effect on the sustainable emergence of enterprise cooperation under the constraints of a loss-to-profit ratio of cooperation, network average degree, and network style. Reciprocity preferences of enterprises are shown to have a greater impact on the sustainable emergence of cooperation than risk preference in two types of parks. Additionally, this advantage is more significant in less-mature parks. The results show the positive relationships between combinations of risk aversion and reciprocity preferences and the emergence of cooperation from a long-term perspective. This study concludes with a discussion of management suggestions and policy implications. The findings shed light on the understanding of the sustainable emergence of innovation cooperation in industrial parks.

Structural characteristics and proximity comparison of China’s urban innovation cooperation network

How to promote and improve the level of urban innovation cooperation is a major issue in China’s current high-quality economic development. Thus, enhancing innovation ability is essential to achieving high-quality economic growth under the "new normal". Based on the data of Chinese invention patents from 1985 to 2017, this paper analyzes the characteristics of China’s urban innovation cooperation network and the different roles of proximity by using social network analysis and exploratory spatial data analysis methods. The analysis results show that: (1) On the whole, the development of China’s urban innovation cooperation network is characterized by stages (initial development stage, rapid development stage, and gradual decline stage); The urban innovation cooperation network has strong connectivity and centripetal concentration but its imbalance needs to be further improved; The degree of urban participation has gradually increased, consolidating the stability of the network structure. (2) The centrality of urban innovation cooperation network has obvious characteristics of administrative center orientation, coastal areas orientation, and ‘strong east and weak west’; Beijing is the center and bridge of the network, and the network flattening characteristics are obvious; A hierarchical ‘core-edge’ structure is gradually formed for the urban innovation cooperation network, and the pyramid structure with Beijing standing at the top is being consolidated. (3) The geographical proximity presents a significant global spatial positive correlation, while the network proximity and pure network proximity have a more significant global spatial negative correlation; The local spatial autocorrelation of China’s urban innovation cooperation system based on network proximity is more obvious and identifiable than that based on the geographical proximity, which better reflects the new development model of "relationship economy".

Assessment of Innovation Cooperation of Ukraine and Scandinavian Countries in Terms of the New Industrial Revolution

Research background: The article explicates the approach of assessing the factors of innovation cooperation of Ukraine and Scandinavian countries in the face of the new industrial revolution.Purpose of the article: The paper aims to assess the current state of cooperation between Ukraine and Scandinavian countries and define the most critical factors for its further development in the new industrial revolution.Methods: The article presents the research scheme of cooperation between Ukraine and Scandinavian countries based on qualitative and economic-statistical analysis, comparative advantages analysis, correlation-regression analysis.Findings & value added: As a result of the research, it was revealed that the main directions of innovation cooperation between Ukraine and Scandinavian countries are investment projects, technical assistance initiatives, experience and technologies transfer. The cooperation is mainly implemented in energy, information technologies, education, science and high-tech trade. Based on the eco-nomic-diplomatic component analysis, a forecast and the dynamics of trade turnover of Ukraine and Scandinavian countries are presented, including the critical for Ukrainian economy time-frame of 2013-2014. It has been revealed that economic diplomacy plays a vital role in establishing and expanding trade relations. To deepen the innovation cooperation between Ukraine and Scandinavian countries, the authors see the need for: (1) expanding spheres of cooperation through joint projects in infrastructure, energy, aerospace and pharmaceutical industries, and the production of components for automobiles; (2) conducting joint research on biotechnology and nanotechnology; (3) signing of agreements in order to establish partnerships between the universities of Scandinavian countries and Ukraine; (4) the introduction of state support for the aerospace industry, the creation of scientific and production clusters in this field; (5) further development and diversification of the Ukrainian IT services market and interaction with Scandinavian countries in this field.

Challenges for innovation cooperation in the biopharmaceutical industry during the Covid-19 pandemic

Purpose: This chapter seeks to verify the development of new partnerships and R&D alliances in the biopharmaceutical industry during the Covid-19 pandemic, but also to present the related challenges for innovation cooperation. Design/methodology/approach: The main method applied in this research was scientific study, meaning that the study applied descriptive, comparative, documentation, and desk research methods, along with deductive and inductive forecasting. Findings: The text presents new partnerships undertaken by biopharma companies (in and outside the industry) in order to face the pandemic and to discover and deliver anew vaccine for SARS-CoV-2 to the market. Moreover, the chapter describes the research projects in the European Union focused on the Covid-19 pandemic defeating. Thanks to more flexible and open cooperation, companies will greatly support the possibility to defeat the Covid-19 pandemic faster. Practical Implications: We should consider that due to the current situation caused by the Covid-19 pandemic, the cooperation of companies and all entities in the biopharmaceutical R&D innovation ecosystem is even more challenging than before. Moreover, we should remember that the organizational fluidity of open innovation initiatives and multiparty relations increases the complexity of alliance management. The use of an open innovation model can significantly hasten the production process of new drugs and vaccines. Originality and value: Biopharma-university alliances can significantly increase the likelihood of creating better medical therapies for patients. Results of such cooperation enable a number of innovative projects, given the significant pressure on innovativeness and challenges caused by the pandemic. Using the latest IT technologies will allow physicians to even better monitor, diagnose, and care for patients with afocus on the patient-centered approach.