Regional Innovation System In China Research Articles

Research on Innovation Capability of Regional Innovation System Based on Fuzzy-Set Qualitative Comparative Analysis: Evidence from China

Building regional innovation systems (RISs) has become an important measure for China to implement an innovation-driven development strategy, but a moderately complex way to describe the characteristics of the RISs is needed for aiding the implementation of this strategy. Based on the subject-resource-environment (SRE) framework with five secondary conditions, this study takes 31 regions in China as cases, and studies the innovation capability of the RISs by using the fuzzy-set qualitative comparative analysis (fsQCA) approach. The findings are as follows: (1) Different combinations of the five conditions have generated two high and one low innovation capability configurations of RISs. (2) The two configurations of high innovation capability are the independent-investment type and the independent-open type. (3) The configuration of low innovation capability is the core-resource-deficiency type. This study has simplified the complexity of the RISs to a certain extent and revealed that the matching effect among core conditions is the key to obtaining high innovation capability. The conclusions provide practical implications for the RISs in China to acquire appropriate innovation capabilities according to their resource endowment conditions.

Performance evaluation for regional innovation systems development in China based on the two-stage SBM-DNDEA model

In this paper, we use the two-stage slacks-based measure dynamic network data envelopment analysis (SBM-DNDEA) model, to explore the value-creation process of regional innovation systems in China. We define the two stages as the technology innovation stage and the technology commercialization stage. In particular, we consider the numbers of invention patent in three different statuses as intermediate and/or carryover variables. The data was of 30 regional innovation systems in China from the period of 2011–2018, when China's National Plan for Medium and Long-term Scientific and Technological Development (NPMLSTD) was implemented. Our results highlight the importance of invention patents to overall performance of regional innovation development. We show that in addition to expanding research and development (R&D) budget, enhancing the quality of the invention patents can also improve the regional innovation scores.

Determinants of Financial Performance in China’s Intelligent Manufacturing Industry: Innovation and Liquidity

This study focuses on the mediation channels through which the financial performance of intelligent manufacturing industries closely related to the Fourth Industrial Revolution has been affected. Along with compiling a massive volume of datasets publicized by the Chinese government and other authoritative institutions, a survey of the 317 listed enterprises of the intelligent manufacturing industries in China has been established for statistical analysis. Using Structural Equation Modeling (SEM), this research tests six hypotheses and confirms the inter-factor impact relationship between exogenous and endogenous factors. We find that innovation efforts mainly led by increasing investment in Research & Development (R&D), along with high liquidity, surely lead to good financial performance, whereas innovation efforts alone do not. Government support policy has been found to be closely related not only to higher liquidity, but to good financial performance through the common channel of R&D investment. Regional innovation capability has been revealed to be related to R&D investments, and, furthermore, to liquidity, which shows that the regional innovation system in China has been functioning relatively well to induce enterprises to increase investments and secure higher liquidity, and finally contribute to achieving better business performance. However, regional economic development shows no relationship with R&D investments, and consequently neither with liquidity nor with performance.

Research on Self-Organization Ability of Regional Innovation System in China

Based on the self-organization theory, this paper analyzed the evolutionary characteristics and mechanism of instability, bifurcation, mutation and random “fluctuation” in the self-organization process of innovation system. Then an empirical study is made on specific and operational self-organization system, constructing innovation system self-organization ability evaluation index system, in order to study the path of self-organization ability judgment framework of regional innovation system in China. It analyzed and compared the path of a series of factors which are concerned with self-organization ability in regional innovation system in China. The results show that the degree of openness, non-equilibrium, fluctuation and non-linearity has positive influence on the self-organization ability of regional innovation system. From the regional perspective, the evaluation of innovation self-organization status in eastern China is obviously higher than that of central and western regions. Finally, it puts forward some suggestions according to the situation of each part, which provides some guiding significance for the corresponding innovation self-organization system in each region in China.

基于DEA和决策树的区域创新效率评价与分析

科学、客观地评价与分析区域创新系统的效率是分析和制定创新政策的基础，数据包络分析(DEA)是评价区域创新系统(称为决策单元)相对有效性的常用评价方法。决策树模型是呈树形结构，表示基于特征对实例进行分类的过程，是一种应用广泛的可视化数据挖掘的重要工具。本文将结合DEA模型和决策树模型的各自优点，提出综合运用DEA与决策树方法的评价分析模式，在评价我国31个区域创新系统绩效的基础上，建立分类决策树并分析其在制定区域创新系统的战略决策(或政策制定)中的作用。 To scientifically and objectively evaluate and analyze the efficiencies of regional innovation systems is a good base to analyze and make policies of regional innovation. Data Envelopment Analysis (DEA) is one of the most used methods for evaluating the efficiency of regional innovation systems (which are referred to Decision Making Units). Decision tree model is a tree structure, which is a process of classification based on feature; it is an important, useful and visual tool of data mining. Combining the advantages of DEA and decision tree model, this paper presents a hybrid model to evaluate and analyze the efficiencies of regional innovation systems using DEA and decision tree method. Based on the evaluation of the efficiencies of 31 regional innovation systems in China, the classification decision tree is established and its role in strategic decision making (or policy making) of regional innovation systems is analyzed.

Government policy change and evolution of regional innovation systems in China: evidence from strategic emerging industries in Shenzhen

The mid-2000s witnessed a paradigm shift of technological innovation in China, characterized by a policy change from expectation of technological spillover from transnational corporations to an emphasis on indigenous innovation and domestic firms. Notably, seven strategic emerging industries (SEIs) have been designated by the central government to foster technological upgrading in the wake of the 2008 global financial crisis. While increasing attention has been paid to these policy changes, the practice of developing SEIs and subsequent impacts on innovation dynamisms remain understudied. Drawing upon an institutional evolution perspective on the regional innovation systems (RIS) approach, I examine how foreign-invested and domestic firms have adjusted their innovation strategies in the changing institutional environment, through examining the light-emitting diode (LED) industry, one of the state-designated SEIs in Shenzhen. This study was conducted primarily from on-site field investigation, firm-level surveys, and in-depth interviews during the period of 2008 and early 2013. It sheds light on the adaptation of the local state, reflected by the Shenzhen municipal government's recent abolishment of the LED industry development plan after four years of implementation. I urge more studies to examine other SEIs designated by various governments in different cities and regions in China to better understand policy change and effects on national innovation systems and RISs in the contemporary global economy.

The roles of universities in fostering knowledge-intensive clusters in Chinese regional innovation systems

This paper aims to understand the roles universities play in regional innovation systems in China. Specifically, it examines how Chinese practice concerning the engagement of the universities with society for promoting regional innovation systems differs from Western practices from the perspective of the Triple Helix. It focuses on China’s leading metropolis, Shanghai, and takes as a case study the Tongji Creative Cluster which, unlike most other clusters in China, is based on knowledge-intensive services rather than high-tech manufacturing. We find that although it is commonly assumed that the statist Triple Helix model characterises the development of the innovation system in China, the practices of the Tongji Creative Cluster take a different approach, combining both bottom-up initiatives in the initial stage and top-down coordination in later developments. We argue that this model is more useful for China’s regional innovation systems as it can overcome many challenges in the statist model.

Regions, Absorptive Capacity and Strategic Coupling with High-Tech TNCs

This article is concerned with what conditions successful development of high-tech regions in developing countries. It argues that the recent regional turn in development studies should be welcomed as regions play an increasingly important role for high-tech industries in developed and developing countries. While acknowledging the insights stemming from the regional turn the article nevertheless argues the need to extent the theoretical perspectives and to apply a regional innovation systems (RIS) approach. RIS has its strength in theoretically linking regions and high-tech industries. This article contextualises RIS to the situations characterising developing countries. Special attention is paid to how regions in developing countries can engage in a strategic coupling with high-tech TNCs. The importance of RIS as an analytical approach and tool for policy prescription is illustrated by two Asian high-tech cases, namely Bangalore's IT RIS in India and Shanghai's high-tech RIS in China.

Technological superpower China?

Contents: Preface 1. China Becoming a Technological Superpower: A Narrow Window of Opportunity 2. National Reform Programmes and Human Resources Development 3. Technology Access through FDI and Technology Transfer 4. Research and Technological Mastery in the Corporate Sector 5. The Information and Communication Technologies: Example of Institute Reform 6. Rising Technological Capability 7. Space and Defence Technologies 8. Regional Innovation Systems in China 9. Shanghai: From Development to Knowledge City 10. China Regaining its Position as a Source of Learning Appendix: The 2020 Plan on Science and Technology Bibliography Index