SPATIAL HETEROGENEITY IN KNOWLEDGE,INNOVATION, AND ECONOMIC GROWTH NEXUS: CONCEPTUAL REFLECTIONS AND EMPIRICAL EVIDENCE

By drawing on the Schumpeterian distinction between invention (i.e., new ideas and knowledge creation) and commercialization of new ideas (i.e., innovation), this paper shows that knowledge and innovation are both important drivers of economic growth, but have heterogeneous spatial impacts. In particular, the growth benefits accruing from knowledge seem rather selective and concentrated across space whereas the growth benefits generated by innovation seem more diffusive, and regions innovating in the absence of a strong local knowledge base can be as successful as more knowledge‐intensive regions in turning innovation into a higher growth rate, possibly by exploiting local informal knowledge and/or knowledge spillovers. These results are of great importance for the design of research and innovation policies within the frame of the Europe 2020 strategy.     

ABSORPTIVE CAPACITY,KNOWLEDGE FLOWS,AND INNOVATION IN U.S. METROPOLITAN AREAS

High growth and progressive regions possess a culture that promotes innovation. Innovation depends on a region's ability to use its own existing knowledge and knowledge generated elsewhere. This paper demonstrates the importance of the ability to absorb external knowledge in explaining innovation productivity for 106 U.S. metropolitan areas. Using a spatial interaction model of patent citation flows with origin and destination dependence, the destination fixed‐effects coefficients provides a measure of a region's absorptive capacity. We identify local conditions that shape a region's absorptive capacity and demonstrate it has a positive and significant impact on innovation productivity.     

Knowledge-Intensive Business Services as Knowledge Intermediaries in Industrial Regions: A Comparison of the Hsinchu and Tainan Metropolitan Areas

Abstract

The literature repeatedly stresses the role of knowledge-intensive business services (KIBS) as a provider of knowledge and information to other businesses and organizations. KIBS simultaneously promotes, mediates and enables client innovation. This investigation mainly seeks to link KIBS to the analytical structure of concepts, including regional innovation systems, knowledge exchanges and innovation patterns. This investigation interprets the role of KIBS as that of a knowledge intermediary that mediates and transmits knowledge among actors. This study also clarifies the mechanism of knowledge exchanges in different geographic innovation systems. The analytical results obtained by this investigation are applied to analyse the intermediary functions of KIBS in various metropolitan areas in southern and northern Taiwan. This investigation demonstrates variations in how KIBS act as knowledge intermediaries, and that these variations depend mostly on industrial cluster patterns, the dominant innovation patterns at their locations and the birth of sustainable KIBS. KIBS in large/core metropolitan regions, thus, are initially based on science, technology and innovation industrial activities, and further closely resemble doing, using and interaction industrial activities. Consequently, more informal learning processes, such as local buzz and discussion/competition relations, tend to develop in such regions.     

Regional Innovation Systems and Economic Performance: Between Regions and Nations

This article aims at assessing the diversity of regional innovation systems and their economic performance in Europe. We propose to adapt the social systems of innovation and production (SSIP) framework at the regional level by identifying the specific arrangements of each part of the innovation and production system. Three key features of European regions are investigated using this framework: the diversity of regional SSIP, the interplay of regional and national determinants of such systems, and the impact of SSIP on regional performance. We identify a typology of regional configurations resulting from the combination of scientific, technological, educational and industrial indicators, using multivariate data analysis. A variance analysis approach is then developed in order to test the existence of specific regional growth regimes. The results highlight a persistently high level of diversity of regional configurations, notably among knowledge intensive regions, but also show that national institutional settings remain of fundamental importance in shaping a number of regional configurations. A final conclusion relates to the weak correlation observed between the structural characteristics of regions and their performance over the 2003–2007 period: regional performance remains primarily shaped by national trends. Overall, the paper questions the regional dimension of these “systems”.     

Evolution of knowledge bases in European regions: searching for spatial regularities and links with innovation performance

This paper aims at a greater comprehension of the distribution of differentiated knowledge bases and their association with innovation performance. Drawing on evolutionary economic geography, we applied a combinatorial and dynamic view on knowledge bases. The main contribution is the examination of changes and transformations of knowledge bases over time in particular group of regions in Europe and links with innovation performance. Our study revealed systematic regularities between regions with different innovation performance and their knowledge bases. With decreasing regional innovation performance the volatility of knowledge bases over time increases. Innovation leaders evinced stability over time and the most balanced composition of knowledge bases (compared with Central and Eastern Europe regions). Western European countries and regions exhibit the most balanced structure of knowledge bases. An important complementarity and synergy has been identified in the close relatedness of the symbolic knowledge base to the analytical knowledge base. The highest intensity of SME cooperation takes place in regions with a strong analytical base and in regions with the most balanced mix among all three bases (particularly in the UK, the Netherlands and Belgium. Underperforming in innovation show a balanced mix of synthetic and symbolic knowledge bases.     

Regional innovation systems and the labour market: A comparison of five regions

This paper reviews the concept of Regional Innovation Systems with particular attention on the labour market dimension. It argues that the labour force as a repository of skills and knowledge plays a key role in generating knowledge flows within Regional Innovation Systems. Then, by reference to a number of important dimensions characterizing innovation, five regions from northern Europe are contrasted. In light of research undertaken by the authors the paper highlights the problems associated with a regional system that may hamper innovation and it shows that Regional Innovation Systems can be underdeveloped by being too dependent on public support. Accordingly a combination of public and private governance at the regional level to promote systemic innovation is advocated. The paper also shows how the Regional Innovation Systems can evolve and how regions can become increasingly developmental knowledge laboratories influencing labour market conditions.     

Bayesian Analysis of Knowledge Spillovers in European Regions*

Abstract. This paper estimates the effects of knowledge spillovers on patent growth rates across 335 European regions over the 1989–1999 period. We propose a dynamic model based on an innovation production function. A Bayesian approach is used to take into account area‐specific innovation and spatial spillovers. The estimation of the model proceeds via Markov Chain Monte Carlo simulation. The results show significant positive and negative spatial effects on innovative activity. The model allows for a rich spatial specification, which we illustrate by incorporating transport proximity measured by transportation time between regions to augment the typical spatial proximity measure of connectivity between regions. Doing this produces more pronounced spatial spillovers that exhibit a more polarized spatial pattern than a model relying on spatial proximity alone.     

中国旅游创新与旅游经济增长关系研究——基于空间面板数据模型

本文运用空间面板数据模型,选用1998～2009年数据研究了中国省域旅游创新与旅游经济增长的关系,发现：中国省域旅游创新与旅游经济增长呈现显著空间集聚性;旅游创新不仅推动当地旅游经济的增长,还通过空间传导机制对邻近区域的旅游经济产生正向的溢出效应。说明应充分重视创新在旅游经济增长中的积极作用,通过旅游创新成果的溢出效应扩大旅游创新对旅游经济增长的作用程度和范围。     

Geography of Knowledge-based Collaboration in a Post-communist Country: Specific Experience or Generalized Pattern?

This article addresses the role of geographical proximity for knowledge and innovation collaboration patterns in the Czech Republic and assesses the factors which determine the spatial distribution of innovation co-operation. The article uses alternative sources of empirical data to map collaboration patterns of innovating companies, research institutes and universities and to find basic regularities. By this, the article aims to fill in the gap in current research focused rather on most advanced regions by adding new knowledge from a transformation, post-communist economy. Also, it aims to shed light on the issue of the role of proximity between actors involved in collaboration in the sphere of knowledge and innovation creation which still remains rather elusive. The findings indicate that even though co-location and intra-regional knowledge and innovation collaboration exist, it cannot be regarded as a decisive characteristic. Geographical proximity is not a crucial condition in knowledge and innovation collaboration as all actors are involved to an important degree in international linkages. Yet, the role of the specific institutional context and factors at micro-level influence the innovation co-operation pattern.     

我国装备制造业的创新、知识溢出和产学研合作——基于一个扩展的知识生产函数方法

知识溢出的本地化现象揭示了地理边界的限制机理,然而越来越多的研究表明知识溢出也可发生在远距离的空间范围内。本文以我国装备制造业为例,采用扩展的知识生产函数方法探讨大学和科研机构的知识溢出对区域创新的影响。结果表明,大学和科研机构能够产生强烈的本地和跨区域的知识溢出效应,地理空间和创新网络在跨区域知识溢出中扮演重要角色。其中,产学研合作产生的知识溢出不仅局限于区域尺度,也发生在更高的国家尺度;在地理空间的制约影响下,高素质劳动力的流动对区域创新的影响十分显著且稳定,而大学和科研机构的衍生溢出机制则不那么明显,其原因可能与空间尺度选择有关。     

Finnish Mosaic of Regional Innovation System—Assessment of Thematic Regional Innovation Platforms Based on Related Variety

The emphasis of Finnish innovation policy has very much been on promoting actions that can be labelled as science–technology–innovation mode of innovation, which is based on the production and use of codified scientific and technical knowledge. However, recent research has emphasized also the importance of more experienced-based mode of learning and innovation, which can be labelled as doing–using–interacting mode of innovation. This study is an attempt to shed light on the current development phase of Finnish innovation system facing the new paradigm. The Finnish innovation system is seen as a mosaic of regional innovation systems. The regional innovation systems are analysed through a developed framework including elements of theories of innovation systems and cluster theories as well as two recent national-level strategy documents. One of the main concepts of the study is related variety in regional innovation platforms. This study also aims at creating a pragmatic framework for describing related variety at the regional level by combining aspects from two theoretical frameworks. The empirical data were gathered in a series of workshops in all the Finnish regions during the year 2008. The result maps Finnish thematic regional innovation platforms fuelled by related variety.     

Spatial distribution of innovation networks,technological competencies and degree of novelty in emerging economy firms

This paper analyses the relationship of the accumulation of technological competencies at the firm level, the spatial distribution of the firm's innovation networks and the degree of novelty of product innovation. Firm-based primary data collected in two innovative regions in emerging economies are used to predict higher degrees of novelty in emerging economy firms. Similarly to advanced economy firms, the results show that international linkages are associated with higher degrees of novelty. However, new-to-the-world innovation in emerging country firms is fundamentally externally driven, suggesting that international linkages seem to be a compensating mechanism for the initially lower technological capabilities rather than a complementary source of knowledge.     

Does Combinatorial Knowledge Lead to a Better Innovation Performance of Firms?

The knowledge base concept in the past was often applied in its “pure form”, i.e. it was assumed that there are dominant knowledge bases in particular sectors and firms shaping knowledge and innovation processes and related networks. For “analytical sectors” such as biotech, it has been argued that codified knowledge generated by universities and R&D organizations is the key for innovation, whereas “synthetic sectors” such as machinery innovate more incrementally by recombining existing knowledge often drawn from suppliers or service firms. Empirical literature has partly confirmed these patters, but also shown more complex knowledge processes. More recently it has been argued that combinations of different knowledge bases might enhance the innovation performance of firms. For example in “analytical sectors”, firms might benefit not just from new and basic knowledge generated by research, but also from recombining existing and applied knowledge or by drawing on symbolic knowledge. Combinatorial knowledge bases might also be relevant for “synthetic” and “symbolic sectors”, but in different forms. This study investigates for the ICT sector in regions of Austria if the reliance on combinatorial knowledge leads to a better innovation performance than the use of more narrow knowledge bases.     

How Beneficial is a Knowledge-based Development Strategy for Peripheral Regions? A Case Study

This paper aims to contribute to the debate on the success factors of peripheral regions in the knowledge economy. It explores the viability of the knowledge-based development model for peripheral regions by examining the experiences of a follower region in Finland. The empirical case is Seinäjoki region in Western Finland which adopted a determined knowledge, research and innovation-driven development strategy in the 1980s. The article analyses the evolution of this strategy and assesses the progress and results that have been achieved until 2012. The results show that the strategy has improved the preconditions and structures for innovation, but there have been difficulties in turning these into real innovation outcomes. Peripheral regions may benefit from a knowledge-based development strategy but the development is slow and only takes place through building base capacity in the region.     

Scientific knowledge production in European regions: patterns of growth,diversity and complexity

ABSTRACT

We study regional patterns of scientific knowledge production in Europe using all scientific publications in the period 2000–2014 attributed to 813 scientific subfields. We show that the existing scientific portfolio of regions offers opportunities for related diversification and discourages the creation of knowledge on topics unrelated to the local knowledge base. Many lagging regions show clear growth, but complex knowledge production remains highly concentrated in regions in the North and West of Europe. For lagging regions there are advantages in not specializing too soon and to first diversify before moving into developing more complex knowledge.     

多样性、创造力与城市增长

是经济多样性或是产业专业化更有利于技术创新和城市增长是近几年来学界争论的问题。传统的研究方法,多利用经济分类(包括标准产业分类和专利分类)数据来探究产业构成与知识溢出和经济增长之间的因果关系,但这种方法并不能清晰地说明不同环境下知识溢出的具体过程,从而对有关争论无法给出令人信服的结论。本文通过比较人造事物与自然生物的演化差异,发现人类创造力的特性与技术创新的本质在于把现有的、以前不相关的资源或技术进行有效的组合。虽然专业化城市在特定城市体系中也能够促进技术创新及经济增长,但从单体城市的层面看,产业多样性较专业化不仅有利于各种不相关的事物的组合,而且还能提供创新者所需的企业家精神氛围和更大的集聚经济,因此更利于城市的长期增长。     

With or Without Clusters: Facilitating Innovation through a Differentiated and Combined Network Approach

Over the past decades, economic and innovation policy across Europe moved in the direction of creating regional clusters of related firms and institutions. Creating clusters through public policy is risky, complex and costly, however. Moreover, it is not necessary to rely on clusters to stimulate innovation. A differentiated and combined network approach to enhancing innovation and stimulating economic growth may be more efficient and effective, especially though not exclusively in regions lacking clusters. The challenge of such a policy is to mitigate the bottlenecks associated with “global pipeline”, “local buzz” and “stand alone” strategies used by innovative firms and to combine these strategies with a view to their complementarity in terms of knowledge effects. Private and semi-public brokers will be key in the evolving policy, as timely organizational change is crucial for continued innovation, while brokers also need to mitigate governance problems. This requires region-specific knowledge in terms of sectors, life cycles, institutional and socio-cultural factors, and yields spatially differentiated and differentiating adjustment strategies. The role of public policy is to assist in recruiting, provide start-up funding and monitor brokers. With this, policy moves towards a decentralized, process-based, region-specific, spatially diverging and multi-level system of innovation that is geared towards the evolving innovation strategies of firms.     

Knowledge management in regional innovation networks: The case of Lahti,Finland1

This article focuses on knowledge creation and management in regional innovation networks. A knowledge management system for a regional innovation network is designed. Besides explicit and tacit knowledge, self-transcending knowledge is taken into account within the knowledge management system. In addition, considerations of knowledge vision as well as methods from futures studies are incorporated into the system. An innovation network of the Lahti regional innovation system, Finland, is used as a case example in the article. The article highlights the importance of combining loose network development and an explicit, systematic approach to planning and working on knowledge-related matters within regional innovation networks.     

Stocking Up: The Role of Temporal and Spatial R&D Stocks

Endogenous growth models are built around the concept of a knowledge stock. This knowledge stock can also be interpreted as a localized stock that operates at the regional level, as is common in the regional innovation systems literature. We use data from the second, third and fourth Community Innovation Surveys (covering 1994–1996, 1998–2000 and 2002–2004) to measure the build-up of knowledge at a very low regional aggregation level (“across streets and hallways”) in the Netherlands. In doing so, we account for regional agglomeration effects. We find that such local knowledge stocks have a small influence on innovation and are far outweighed by firm-specific characteristics.     

Innovation Advantages of Cities: From Knowledge to Equity in Five Basic Steps

This paper explores the reasons why cities are often major centres of innovation, even in some less favoured regions and countries. It starts with an anatomization of the dominant factors that explain why key less favoured settings developed 'new economy' clusters through institutional interaction with Silicon Valley. The analysis concludes that public research resources and private commercialization funding are central, supported by a wide array of private but few public innovation support services. It then examines a number of cases from cities in less favoured regions and countries where innovation has occurred. The conclusions are that the research-venture capital model is present and explains innovation in each case. However, in some cases public venture capital has to substitute for private due to market failure, or a phenomenon termed 'Silicon Valley Offshore' has been induced. Cities are innovative where they concentrate the desired scientific and investment knowledge capabilities.