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Article
Publication date: 1 September 2019

Lin Liang, Yinbo Wen and Yuanyuan Lv

In the process of vigorously promoting urbanization, the city development became a new driving force for China's prosperity. To comprehensively analyze the urban regional

Abstract

In the process of vigorously promoting urbanization, the city development became a new driving force for China's prosperity. To comprehensively analyze the urban regional innovation system, the typical urban city was taken as an empirical sample to consider as an urban regional innovation system. The fuzzy comprehensive evaluation method was used to evaluate the operation of typical urban regional innovation system, combined the cluster analysis and Bayesian discrimination for the research and analysis. The results showed that the evaluation of regional innovation system was a national innovation strategy. Therefore, the model provides an important evidence for the urban innovative development. The proposed targeted innovation development strategy is conducive to grasp the advantages and disadvantages of the typical urban regional innovation system construction as a whole. The analysis of the structural change layers and sub-distribution of urban regional innovation effectiveness helps to clarify the stage of urban development.

Details

Open House International, vol. 44 no. 3
Type: Research Article
ISSN: 0168-2601

Keywords

Article
Publication date: 27 August 2021

Dongyun Zhu and Bingfen Xu

This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a…

Abstract

Purpose

This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a five-year period.

Design/methodology/approach

The authors used multilevel regression analysis to analyze the relationship.

Findings

Results show that increasing government investment in research and development (R&D) can improve innovation performance during this period, organizational proximity and geographic proximity have a positive moderate effect on the relationship between R&D investment and Innovation performance.

Originality/value

This study enriches the existing theories on government innovation input and output from the perspective of regional differences and provides meaningful guidance for current Chinese regional innovation policies.

Details

International Journal of Innovation Science, vol. 14 no. 2
Type: Research Article
ISSN: 1757-2223

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Article
Publication date: 8 March 2021

João M. Lopes, Paulo Silveira, Luís Farinha, Márcio Oliveira and José Oliveira

Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended for regional development. However, regional

Abstract

Purpose

Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended for regional development. However, regional development policies have led economies to very different competitive positions in matters of innovation. To address these issues, this paper aims to identify the variables that most contribute to the positioning of economies in terms of performance innovation in Europe.

Design/methodology/approach

The data for this study were collected at the regional innovation scoreboard. This paper uses a quantitative methodology through a multivariate statistical technique (discriminant analysis).

Findings

The results suggest that specific innovation strategies explain the competitive positioning of economies within each group of countries. It was possible to demonstrate that economies with leader classification show greater comparative robustness in the variables “Small and medium enterprise (SMEs) with product or process innovations,” “SMEs with product or process innovations,” “research and development (R&D) expenditure public sector” and “population with tertiary education,” constituting an effective instrument of innovation policy. Furthermore, it was possible to show that the economies belonging to the modest group do not have a competitive advantage in any of the variables under study, thus providing a reflection opportunity for policymakers at this level.

Originality/value

The present research identifies which variables are most relevant to the classification considering the regional innovation performance in leader, strong, moderate and modest. Several suggestions were given to companies, policymakers and higher education institutions in the sense that the regions where they operate can improve their innovative performance, which may help to a change in their current classification.

Article
Publication date: 20 March 2020

Nana Yang, Qiming Liu and Yu Qi

Although recent studies have increased attention on the effects of related and unrelated variety on innovation, a Chinese test has until now been missing from the…

Abstract

Purpose

Although recent studies have increased attention on the effects of related and unrelated variety on innovation, a Chinese test has until now been missing from the literature. This paper aims to investigate how related and unrelated variety affect regional innovation in Chinese provinces. In particular, emphasis was placed on differentiating the analysis for the industry and services sectors at a detailed sectoral level.

Design/methodology/approach

This paper’s sample is composed of 30 provinces in China from 2003 to 2016. Feasible generalized least squares was used to estimate the effects of related and unrelated variety on regional innovation.

Findings

The results show that related variety in all sectors promotes regional innovation, whereas unrelated variety in all sectors does not play a role. In-depth analyses were performed by comparing the industry and services sectors. Only related variety in the industry sector and unrelated variety in the services sector promote regional innovation, whereas unrelated variety in the industry sector exerts a negative effect. After dividing the country into eastern, central and western regions, different findings appear in the sub-samples.

Originality/value

This study contributes to the literature on evolutionary economic geography and innovation by exploring how related and unrelated variety promote regional innovation in a developing country context (China). It also sheds light on the sectoral and regional differences in the influence of related and unrelated variety on regional innovation.

Details

Chinese Management Studies, vol. 14 no. 3
Type: Research Article
ISSN: 1750-614X

Keywords

Content available
Article
Publication date: 19 June 2020

Jose-Luis Hervas-Oliver, Gregorio Gonzalez-Alcaide, Ronald Rojas-Alvarado and Silvia Monto-Mompo

Industry 4.0 or digitization, from a regional innovation system (RIS) and policy perspective to improve regional innovation, is over-looked. Specifically, this paper aims…

Abstract

Purpose

Industry 4.0 or digitization, from a regional innovation system (RIS) and policy perspective to improve regional innovation, is over-looked. Specifically, this paper aims to focus on analyzing the nascent European Commission (EC) digital innovation hub (DIH) program, designed for fostering transition into Industry 4.0 in regions and facilitating new path development.

Design/methodology/approach

Empirically, 10 Spanish DIH is explored through interviews and secondary data analysis.

Findings

The results suggest that DIHs despite their emerging and trial-and-error stage are designed for promoting multi-actor collaborative platforms including non-local actors to stimulate transition into Industry 4.0 by promoting place-based collaboration alliances that respond to local/regional contextual specificities and demands. These regional-based platforms facilitate public-private partnerships that co-design policy initiatives resulting from co-participation and negotiation of spatially-bounded oriented initiatives for digitizing.

Originality/value

The authors answer: what are the key characteristics of emerging European-level regional innovation policies aimed at facilitating Industry 4.0 in regions? This is the first study on the topic.

Details

Competitiveness Review: An International Business Journal , vol. 31 no. 1
Type: Research Article
ISSN: 1059-5422

Keywords

Article
Publication date: 20 December 2018

Hemin Song, Yingying Zhang-Zhang, Mu Tian, Sylvia Rohlfer and Nora Sharkasi

The purpose of this paper is to explore the relationship between culture and regional innovation performance in China where innovation is deemed as a key for sustainable…

Abstract

Purpose

The purpose of this paper is to explore the relationship between culture and regional innovation performance in China where innovation is deemed as a key for sustainable economic development. The diversity of China’s regional culture and its rising economic and innovative capability enhancement provides an opportunity for such an exploration.

Design/methodology/approach

This paper adopts the GLOBE’s nine cultural dimensions to empirically examine the relationship between culture and Chinese regional innovation performance through multiple regression analysis.

Findings

The study results find that performance orientation and gender egalitarianism have positive and significant influences on regional innovation performance, while institutional collectivism has a negative and significant influence. The remaining six GLOBE cultural dimensions show no significant effect on regional innovation performance.

Originality/value

To the best of the authors’ knowledge, this is the first research exploring the relationship between culture and regional innovation performance in a Chinese context by using GLOBE’s cultural dimensions that are deemed as a valuable empirical alternative to Hofstede’s cultural measures. The results of this study help further the understanding of the cultural influence in China’s regional innovation performance.

Details

Chinese Management Studies, vol. 13 no. 2
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 12 June 2017

Synnøve Rubach, Thomas Hoholm and Håkan Håkansson

The purpose of this paper is to present a longitudinal case study of a regional innovation policy initiative, in which ideas with regard to how innovation might be…

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Abstract

Purpose

The purpose of this paper is to present a longitudinal case study of a regional innovation policy initiative, in which ideas with regard to how innovation might be facilitated were changing over time. Through the scrutiny of insights in industrial network studies (IMP), the authors seek to shed light on the challenges created by policy interventions aimed at constructing complementary networks for the facilitation of innovation. That is to say, the authors endeavour to understand the interfaces between innovation networks and industrial networks, and the way in which they may influence innovation.

Design/methodology/approach

This study is based on a longitudinal case study of four successive regional innovation projects in Norway. Data are drawn from relevant policy documents and project documentations, as well as from participatory observation of application processes and project activities.

Findings

This study shows that regional innovation policy concerns first and foremost the interaction within and between relatively established diverse networks, which affects both structuring and restructuring. Changes in innovation policy required the re-configuring of constellations of business networks, research networks and policy networks. All initiatives required mobilisation input by persistent actors – often boundary organisations or researchers. The construction of innovation networks served as an instrument in the production of new interfaces between businesses, researchers and policy makers. The use and usefulness of these networks as perceived by the business actors were heavily influenced by the way in which the networks were configured.

Research limitations/implications

Generalisation based on in-depth qualitative case research requires further testing across similar and varying cases, and there have hitherto been relatively few studies of the interfaces between industrial and innovation networks. Despite this it can be argued that the conceptual distinction between constructed and emerging networks is a productive one in the study of networked innovation dynamics. During the research into this longitudinal case, it has been interesting to observe the way in which innovation research, and thus its influence on innovation policy, has changed over time. It would be beneficial if further studies were to be conducted on the way in which this has played out.

Practical implications

The administration of the public funding of innovation network activities requires great care. Where innovation policy initiatives are closely related to established industrial networks, it may be possible to strengthen innovation dynamics, challenge established practices and conceptions, and contribute to expanding, or even initiate innovation activities. In the first place, new activities need to be initiated in a way that supports the long-term development of actual business networks; and second, innovation policy bodies should be prepared to stimulate activity over longer periods of time.

Originality/value

This paper engages in, and combines, two parallel and rarely interacting debates on, respectively, innovation within innovation policy (innovation systems, clusters, networks) and industrial network studies (IMP and others). The authors make an “ideal type” distinction between alternative “constructed” networks and “emerging” networks, and the way in which they influence innovations.

Details

IMP Journal, vol. 11 no. 2
Type: Research Article
ISSN: 2059-1403

Keywords

Article
Publication date: 10 January 2018

Zheng Li, Jun Li and Bin He

The purpose of this paper is to examine whether foreign direct investment (FDI) inflow impacts on regional innovation efficiency in China and whether the impacts of FDI…

Abstract

Purpose

The purpose of this paper is to examine whether foreign direct investment (FDI) inflow impacts on regional innovation efficiency in China and whether the impacts of FDI are contingent on regional conditions that may maximize the effect of FDI on regional innovation efficiency.

Design/methodology/approach

Using panel data of 30 provinces from 2000 to 2010, the authors first used data envelopment analysis to measure regional innovation efficiency, followed by a spatial panel model to test research hypotheses concerning the effect of FDI on regional innovation efficiency and the direct and moderating effects of regional characteristics such as regional innovation environment, regional absorptive capacity and regional complementary assets.

Findings

The paper finds that there are considerable inter-regional and intra-regional variations in innovation efficiency in China and that regional variations in innovation efficiency in China can first be explained by the differences in inflow FDI and then be accounted for by the direct and moderating effect of regional innovation environment, absorptive capacity and complementary assets.

Research limitations/implications

The research findings have three policy implications. First, governments should continue their efforts to increase the transparency and predictability of the framework for inward FDI and align FDI with the region’s strategic priorities of development to improve innovation efficiency. Second, governments should develop holistic and coherent policies that address the key aspects of regional conditions conducive to the inflow of FDI. Third, governments at the regional level should cultivate an open innovation environment and support the development of financial markets to maximize the positive effect of FDI technology spillover and externalities.

Originality value

This paper fills a gap in research on the spatial heterogeneity characteristics of spillover effects of FDI on regional innovation efficiency.

Details

Chinese Management Studies, vol. 12 no. 1
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 12 September 2008

Giovanni Schiuma and Antonio Lerro

The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional innovation capacity. The

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Abstract

Purpose

The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional innovation capacity. The paper identifies human, relational, structural and social capital as the four main knowledge‐based categories building the knowledge‐based capital of a region. The role of each knowledge‐based category in determining regional innovation capacity is analyzed. Specifically, the authors discuss the relationships among the knowledge‐based categories and a regional innovation capacity.

Design/methodology/approach

The paper is based on an in‐depth literature review of the knowledge management and regional innovation research stream. The fundamental underlying research questions that have driven the research are: “What are the knowledge‐based capital categories affecting a region's innovation capacity?” and “How do knowledge‐based categories influence regional innovation capacity?”. The paper is conceptual in its nature and aims to delineate a theory‐based framework to drive further empirical research.

Findings

The paper first clarifies the concept of knowledge‐based capital and of regional innovation capacity. These are two key concepts for understanding the role and relevance of the knowledge assets bundles in the creation, development and management of innovation capabilities at regional level. Then the paper explores how knowledge‐based components affect the innovation capacity of a region. This is an issue of great relevance for both theory and practice. From the theory point of view it allows the identification of the main factors characterising the links between knowledge assets and innovation capacity, while from a practical point of view it can provide implications for policy makers for the definition of policies oriented towards the development of regional knowledge asset domains to develop regional innovation capacity.

Originality/value

The paper provides an answer to the need to develop a holistic view of the links between a region's knowledge‐based capital and its innovation capacity. Indeed, most of the studies in the literature have analysed the links between isolated knowledge asset categories and innovation capabilities. The paper, on the basis of a clear definition of knowledge‐based capital and innovation capacity, analyses why regional knowledge foundations make differences in the innovation capacity of regions.

Details

Journal of Knowledge Management, vol. 12 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

Book part
Publication date: 27 August 2014

Suleika Bort, Marie Oehme and Florian Zock

To maintain and enhance innovation performance, many firms nowadays look for resources from external sources such as strategic alliances and regional network embeddedness…

Abstract

To maintain and enhance innovation performance, many firms nowadays look for resources from external sources such as strategic alliances and regional network embeddedness. While considering the important interdependencies among different alliances, research has established an alliance portfolio perspective. From an alliance portfolio perspective, firms can consciously configure the dimensions of their alliance portfolios such as partner characteristics, relational properties, or structural properties. However, within the context of alliance portfolio configuration, the role of regional networks has been largely overlooked. As most high-tech firms are regionally clustered, this is an important research gap. In addressing this gap, this study explores the link between regional network density, alliance portfolio configuration, and its contribution to firm innovation performance. We examine how regional network density and alliance partner diversity influences firm level innovation output. We also investigate the moderating effect of overall network partner status and partner diversity on the link between regional network density and innovation performance. Our empirical evidence is derived from a longitudinal quantitative study of 1,233 German biotechnology firms. We find that regional network density and alliance partner diversity has an inverted U-shape effect on firm level innovation performance. However, overall network status as well as alliance partner diversity negatively moderates the link between regional network density and innovation output. Thus, our study contributes to a better understanding of the link between regional networks, alliance portfolio configuration, and firm level innovation performance.

Details

Understanding the Relationship Between Networks and Technology, Creativity and Innovation
Type: Book
ISBN: 978-1-78190-489-3

Keywords

1 – 10 of over 41000