Investigation on the Impact of Relationship Capital, Coupling Mechanism and Innovative Capacity of Regional Innovation Network Nodes on Innovation Performance

2008 ◽  
Author(s):  
Feng Ji ◽  
Bangjun Wang ◽  
Min Zhou
Keyword(s):  
Innovation Performance ◽  
Coupling Mechanism ◽  
Innovation Network ◽  
Regional Innovation ◽  
Network Nodes ◽  
Relationship Capital ◽  
The Impact ◽  
Innovative Capacity

scholarly journals Clique Structure and Enterprise Innovation: an Empirical Research on China's High-end Equipment Manufacturing Industry

2018 ◽  
Vol 11 (3) ◽  
pp. 21
Author(s):  
Xiangjie Zheng
Keyword(s):  
Manufacturing Industry ◽  
Negative Binomial ◽  
Moderating Effect ◽  
Innovation Performance ◽  
Innovation Network ◽  
Innovation Capability ◽  
Equipment Manufacturing ◽  
Equipment Manufacturing Industry ◽  
Enterprise Innovation ◽  
The Impact

Clique problem has been fully researched in the social relations network of sociology，But the cliques in inter-enterprise networks have attracted people's attention in recent years. Based on the alliance data of the high-end equipment manufacturing industry in China in 2000-2013, we construct innovation network，and use negative binomial regression models to analyze the impact of the clique structure on enterprise innovation. The results show that the more the clique numbers in the alliance innovation network, the stronger the enterprise innovation capability. Whether the enterprises listed have a negative moderating effect on the impact of clique numbers on enterprise innovation performance. That is, for the listed enterprises, more clique numbers cannot significantly promote enterprise innovation, but for non-listed enterprises, more clique numbers are conducive to enterprise innovation. Innovation accumulation has no significant positive moderating effect on the impact of clique numbers on enterprise innovation performance. The impact of the coreness values on the enterprise innovative output in an inverted-U curvilinear way, and the coreness values also moderates the effect of innovation accumulation on enterprise innovation capability in an inverted-U curvilinear way. The conclusions of the research can provide the basis for the enterprise to embed the network cliques and for the relevant government departments to formulate the alliance policy.

scholarly journals How Do Biotech Cluster Firms Catch Knowledge Spillovers? The Strong Impact Of The Institutional Mechanisms

2017 ◽  
Vol 33 (6) ◽  
pp. 1187-1204
Author(s):  
Najoua Boufaden
Keyword(s):  
Knowledge Spillovers ◽  
Innovation Performance ◽  
High Tech ◽  
Strong Impact ◽  
Regional Innovation ◽  
Negative Effects ◽  
Face To Face ◽  
Innovation Activities ◽  
The Impact ◽  
Critical Resources

This paper deals with the nature of the mechanisms supporting knowledge spillovers diffusion in high-tech clusters. The literature in the geography of innovation focuses on the existence of local knowledge spillovers, which are enhanced by geographic and technological proximity. However, the mechanisms explaining the diffusion of spillovers are not well understood. If knowledge spillovers exist, how does this knowledge diffuse among the actors? Do spillovers spread in the air, as suggested by Marshall? Or, are there mechanisms that explain their dissemination? Based on a firm survey data base and an original methodology, the paper explores the determinants of knowledge spillovers. The paper has twofold purposes; the first one is to determine the main mechanisms within a region enabling the diffusion of spillovers. The second objective is measuring the impact of these main mechanisms on firm’s innovation performance, indicating which of these mechanisms are more effective in transporting knowledge spillovers between agents. The results show new empirical evidences on the role played by institutions[1] in the dissemination of externalities. However, informal mechanisms, such as face-to-face contacts commonly stressed in the literature, have no significant and negative effects in this case. [1] Institutions are defined here as a kind of structures that matter in structuring social interactions (Hogdson, 2006). Institutions can enable or constraint choices and actions. So it can enhance agent behaviors and actions that otherwise would not exist. According to this definition, formal institutions supporting R&D and innovation activities of SMEs in the biotech industry can enable or constraint actions of these firms regarding accessibility to critical resources available in a given region such as knowledge, information, finance, etc. Finally, we can assume that Institutions structures can explain variation in regional innovation performance.

scholarly journals Local Government Competition, Environmental Regulation Intensity and Regional Innovation Performance: An Empirical Investigation of Chinese Provinces

2019 ◽  
Vol 16 (12) ◽  
pp. 2130 ◽  
Author(s):  
Deng ◽  
Zhang ◽  
Ahmad ◽  
Draz
Keyword(s):  
Local Government ◽  
Environmental Regulation ◽  
Local Governments ◽  
Generalized Least Squares ◽  
Institutional Arrangements ◽  
Innovation Performance ◽  
Regional Innovation ◽  
Regional Heterogeneity ◽  
Development Levels ◽  
The Impact

：The aim of this paper is to examine the impact of local government competition and environmental regulation intensity on regional innovation performance and its regional heterogeneity. Based on the theoretical mechanism of the aforementioned variables, this study uses the Chinese provincial panel data from 2001 to 2016. We use the super-efficiency data envelopment analysis (SE-DEA) to evaluate regional innovation performance. To systematically examine the impact of local government competition and environmental regulation intensity on regional innovation performance, we build a panel date model using the feasible generalized least squares (FGLS) method. The results indicate that: the regional innovation performance can be significantly improved through technological spillover; local governments compete for foreign direct investment (FDI) to participate in regional innovative production. Moreover, improvements in environmental regulation intensity enhance regional innovation performance through the innovation compensation effect. Our results show that the local governments tend to choose lower environmental regulation intensity to compete for more FDI, which has an inhibitory effect on regional innovation performance. Furthermore, due to regional differences in factor endowments, economic reforms and economic development levels in Chinese provinces, there exists a significant regional consistency in the impact of local government competition and environmental regulation intensity on regional innovation performance. Therefore, institutional arrangements and incentive constraints must be adopted to enhance regional innovation performance as well as to guide and foster the mechanism of green innovation competition among local governments. At the same time, considering the regional heterogeneity of local government competition and environmental regulation intensity affecting regional innovation performance, policy makers should avoid the “one-size-fits-all” strategy of institutional arrangements.

scholarly journals Visegrad Countries and Regions: Innovation Performance and Efficiency

2015 ◽  
Vol 19 (2) ◽  
pp. 55 ◽  
Author(s):  
Oto Hudec
Keyword(s):  
Knowledge Production ◽  
Composite Index ◽  
Innovation Systems ◽  
Innovation Performance ◽  
The European Union ◽  
Regional Innovation ◽  
Regional Comparison ◽  
Research And Innovation ◽  
Innovative Capacity ◽  
Visegrád Countries

<div><strong>Purpose:</strong> The aim of the article is to study the differences between efficiency of their research and innovation systems, innovation performance and efficiency of the Visegrad countries (Czech Republic, Hungary, Poland and Slovakia) as well as their regions.</div><div> </div><div><strong>Methodology/Approach:</strong> Visegrad countries are to be compared according to national innovative capacity framework based on the composite index methodology The regional innovation efficiency is examined by considering R&amp;D expenditures as inputs and patents as outputs. The efficiency of the regional research and innovation systems is based on the concept of knowledge production function (Cobb - Douglas type).</div><div> </div><div><strong>Findings:</strong> Visegrad countries do not belong among the best performers in innovation and competitiveness in the European Union. The findings show a substantial difference if replacing commonly evaluated innovation performance by the efficiency. Except the capital regions, there are several Polish and Czech regions which belong to the most efficient in innovation in the Visegrad regional comparison: Lodzkie, Lesser Poland, Central Moravia and South-East Moravia.</div><div> </div><div><strong>Research Limitation/implication:</strong> The research shows the limitation of the innovation performance as published by the European Commission in a form of Regional Innovation Monitor. </div><div> </div><div><strong>Originality/Value of paper:</strong> The approach of relative efficiency evaluation shows a rather different picture in comparison to previous static models and comparisons. </div>

scholarly journals The relationship between TFP and innovation performance: evidence from EU regions

Equilibrium ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 695-709 ◽  
Author(s):  
Tomasz Kijek ◽  
Anna Matras-Bolibok
Keyword(s):  
Economic Development ◽  
Positive Impact ◽  
Regional Economics ◽  
Value Added ◽  
Innovation Performance ◽  
European Regions ◽  
Regional Innovation ◽  
Eu Regions ◽  
Regional Economic Performance ◽  
The Impact

Research background: Total factor productivity (TFP) determines how efficiently and intensely the available inputs are used and combined in production process. Improvement of TFP performance requires identification of its determinants, thus enabling policy actions to focus on them. Since the ability to create and absorb innovation is considered as a crucial factor of economic development, the investigation of the impact of the level of regional innovative performance on TFP distribution across EU regions is an important research problem.  Purpose of the article: The aim of the paper is twofold. Firstly, we attempt to develop a theoretical framework for the analysis of the impact of innovation on TFP. Secondly, we assess TFP levels for regions in the EU and investigate whether innovations account for the observed regional disparities in TFP. Methods: The research sample consists of 202 European Union (EU) regions at NUTS 1 and NUTS 2 level from 22 countries. The regional data on GDP, employment and gross fixed capital formation come from the Eurostat. The source of data on the level of innovativeness of European regions is the Regional Innovation Scoreboard. To calculate TFP, we use the multiplicatively-complete Färe-Primont index. In turn, to examine the impact of innovation on TFP, we employ the spatially-lagged X model. Findings & Value added: Our findings show a high degree of dispersion in TFP across EU regions. We find a positive impact of regional innovation performance on TFP. Although theoretical papers on economic development and regional economics suggest that improvements in TFP are key to regional economic performance, and that innovations are crucial to gain such productivity effects, there is a dearth of empirical studies on the link between innovation and TFP at the regional level. Therefore, our paper attempts to fill this gap by providing the evidence of positive effect of innovation externalities on TFP in European regions.

ICT SMEs, Performance, Absorptive Capacity and Transformative Capacity

2019 ◽  
Vol 118 (3) ◽  
pp. 178-188
Author(s):  
Yeon-Sung Cho ◽  
Kyung-Il Khoe
Keyword(s):  
Firm Performance ◽  
Market Orientation ◽  
Empirical Analysis ◽  
Absorptive Capacity ◽  
Latent Variables ◽  
Equation Modeling ◽  
Transformative Capacity ◽  
The Impact ◽  
The Empirical Analysis ◽  
Innovative Capacity

This study intends to integrate the relationship of market orientation, innovative capacity and firm performance to Information and Communication Technology(ICT) SMEs. The purpose of this study is to identify the role of absorptive capacity and transformative capacity that affect the performance of ICT SMEs. Hypotheses were established between five latent variables. A total of six hypotheses were established including the moderated effects of absorptive capacity and transformative capacity. Of the data collected after the survey, 112 valid surveys were selected as the final sample, except for 17 questionnaires with high non - response and insincere response. The empirical analysis of this study used smartpls3.0, Partial Least Squares (PLS), a variance-based structural equation modeling. The empirical analysis of this study revealed that the impact of market orientation on innovative capacity was significant. Moreover, the innovative capacity had a positive effect on the performance of ICT SMEs. In addition, the absorptive activity had a positive moderated effect between the market orientation and the innovative capacity. On the other hand, the transformative capacity showed a positive moderated effect in relation to innovative capacity and firm performance. Our empirical results have demonstrated the importance of knowledge based capacity in the ICT SMEs.

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