The Geography of Knowledge Spillovers Between High-Technology Firms in Europe: Evidence from a Spatial Interaction Modeling Perspective

The focus in this article is on knowledge spillovers between high-technology firms in Europe, as captured by patent citations. The European coverage is given by patent applications at the European Patent Office that are assigned to high-technology firms located in the EU-25 member states (except Cyprus and Malta), the two accession countries Bulgaria and Romania, and Norway and Switzerland. By following the paper trail left by citations between these high-technology patents we adopt a Poisson spatial interaction modeling perspective to identify and measure spatial separation effects to interregional knowledge spillovers. In doing so we control for technological proximity between the regions, as geographical distance could be just proxying for technological proximity. The study produces prima facie evidence that geography matters. First, geographical distance has a significant impact on knowledge spillovers, and this effect is substantial. Second, national border effects are important and dominate geographical distance effects. Knowledge flows within European countries more easily than across. Not only geography, but also technological proximity matters. Interregional knowledge flows are industry specific and occur most often between regions located close to each other in technological space.     

Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model

This article investigates the impact of knowledge capital stocks on total factor productivity (TFP) through the lens of the knowledge capital model proposed by Griliches (1979) , augmented with a spatially discounted cross-region knowledge spillover pool variable. The objective is to shift attention from firms and industries to regions and to estimate the impact of cross-region knowledge spillovers on TFP in Europe. The dependent variable is the region-level TFP, measured in terms of the superlative TFP index suggested by Caves, Christensen, and Diewert (1982) . This index describes how efficiently each region transforms physical capital and labor into output. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of cross-region knowledge spillovers. We construct patent stocks to proxy annual regional knowledge capital stocks for N =203 regions during 1997–2002. In estimating the effects, we implement a spatial panel data model that controls for spatial autocorrelation as well as individual heterogeneity across regions. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions and add an important spatial dimension to discussions in the literature by showing that productivity effects of knowledge spillovers increase with geographic proximity.     

Interaction among High-tech Talent and its Impact on Innovation Performance: A Comparison of Taiwanese Science Parks at Different Stages of Development

Numerous studies have studied how knowledge spillovers and various other factors influence industrial clusters in terms of geographical proximity. Related studies have generally confirmed significant positive correlations between firm innovative activities and factors such as spatial proximity and degree of industrial clustering. This study elucidates on an individual level, based on the relationship between proximity dimension and innovative activity, the interactive relationships between the mobility and interaction of high-tech talent and innovation performance. Survey results indicate that the spatial proximity of firms clustering within the Hsinchu and Tainan Science-based Industrial Park increases the interaction among high-tech personnel and the expansion of their professional networks, thus promoting innovation. Gradually organizational and social proximity evolve from physical proximity within high-tech districts via the evolution of industrial networks and interactions among high-tech talent. Additionally survey results demonstrate the value of mobility and informal relationships involving high-tech talent, as well as the effect of these relationships on innovation performance during the various stages of science park development. However, how to avoid lock-in in the future development of high-tech districts remains a critical issue. The results of this investigation provide a useful reference for planning and managing industrial districts.     

地理邻近促进产学研协同创新吗?——基于多维邻近整合的视角

运用偏最小二乘法（PLS）构建结构方程模型,将多维邻近整合到统一的研究框架,分析地理邻近对跨区域产学研协同创新绩效的影响。结果显示：地理邻近是多维邻近的第一维,其他邻近都是在地理邻近的影响下作用于产学研协同创新绩效;社会邻近虽然正向作用于技术邻近和关系邻近,但是不能间接通过技术邻近和关系邻近正向影响产学研协同创新绩效;制度邻近和关系邻近对产学研协同创新的影响很显著。为了实现科技资源优化聚集,有必要加快制度、市场和基础设施的一体化建设。     

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.     

URBAN‐TO‐RURAL POPULATION GROWTH LINKAGES: EVIDENCE FROM OECD TL3 REGIONS*

The objective of this paper is to understand, from an international comparative perspective, how population growth in rural regions is affected by the relationship with their nearby urban centers. By means of a cross‐sectional analysis on OECD small regions (Territorial Level 3), the paper distinguishes spread effects—positive spillovers arising from urban growth—from the net effect of distance to nonrural places. The results show that spread effects outweigh backwash effects, so that rural regions benefit from growth in urban places. A rural region's distance from urban and intermediate regions has a negative effect on its population growth rate. Nevertheless, both the strength of this effect and the growth spillovers decline with distance, and this occurs relatively faster in Europe. The results further suggest that proximity to large urban areas has a higher positive influence than proximity to intermediate areas, but only outside Europe.     

ACCOUNTING FOR NEIGHBORING EFFECTS IN MEASURES OF SPATIAL CONCENTRATION*

ABSTRACT A common problem with spatial economic concentration measures based on areal data (e.g., Gini, Herfindhal, entropy, and Ellison‐Glaeser indices) is accounting for the position of regions in space. While they purport to measure spatial clustering, these statistics are confined to calculations within individual areal units. They are insensitive to the proximity of regions or to neighboring effects. Clearly, since spillovers do not recognize areal units, economic clusters may cross regional boundaries. Yet with current measures, any industrial agglomeration that traverses boundaries will be chopped into two or more pieces. Activity in adjacent spatial units is treated in exactly the same way as activity in far‐flung, nonadjacent areas. This paper shows how popular measures of spatial concentration relying on areal data can be modified to account for neighboring effects. With a U.S. application, we also demonstrate that the new instruments we propose are easy to implement and can be valuable in regional analysis.     

INTERREGIONAL KNOWLEDGE SPILLOVERS AND OCCUPATIONAL CHOICE IN A MODEL OF FREE TRADE AND ENDOGENOUS GROWTH*

ABSTRACT A two region model of horizontal innovation with free trade and occupational choice is used to examine the spatial patterns of innovation and manufacturing industry in interior and core‐periphery long‐run equilibria. The inclusion of skill heterogeneity among workers creates a tension between stabilizing productivity effects that coincide with reallocations of workers across industries, and destabilizing productivity effects that arise with localized stocks of knowledge capital. We find that while core‐periphery equilibria are always saddlepath stable, interior equilibria are saddlepath stable when knowledge spillovers exceed a threshold level but are unstable otherwise. In addition, incorporating skill heterogeneity into the model allows for interior equilibria with asymmetric shares for innovation and industry.     

Modeling the Impact of Technological Innovation on Environmental Efficiency: A Spatial Panel Data Approach

Technological progress has widely been acknowledged as a key driver in the achievement of environmental sustainability, and a new concern has recently arisen for assessing the role of differences in regional innovation performances with respect to the pursuit of pollution targets. We investigate the impact of innovative activities on environmental efficiency at the regional level, adopting a spatial panel data approach to account for dependence between geographical observations and to get deeper insights into spatial knowledge spillovers arising from agglomeration economies. The spatial panel analysis covers 103 Italian provinces (equivalent to NUTS3 regions) on four major air pollutants (i.e., CO₂, CH₄, NMVOC, CO) over the 1995–2010 period. Our findings show that the state of local technology development, proxied by patents, has a positive impact on GDP emission efficiency and that its magnitude is higher for more localized pollutants as a result of larger spillover effects. Finally, to analyze the Italian North-South dualism of emission levels of pollutants, we offer a spillover effect study to emphasize the remarkable difference among effects in the territory. This calls for closer attention to the local relevance of the pollution damage when environmental impact of innovation strategies is to be evaluated.     

中国省区间的外资R&D知识溢出及其空间差异研究——基于随机前沿生产模型(SFA)的实证

基于随机前沿生产函数构建的区域知识溢出模型,实证分析了中国省区层面的外资R&D空间溢出效应及其差异。结果显示,我国外资R&D活动不仅对本省存在溢出影响,对邻省亦有重要贡献;东部省区同时受益于其东、中部邻省的外资R&D溢出效应,但中西部省区均只从同一区域且邻近省份的外资R&D活动获益。研究还发现,我国三大区域内部均已结成紧密的省际空间联系,外资R&D双向溢出显著;但东部与中部省区的空间关联度不强,外资R&D呈单向溢出格局;而中部与西部之间目前仍存在明显的空间分割特征,造成彼此之间互无溢出。     

Spatial and Sectoral Characteristics of Relational Capital in Innovation Activity

The paper presents prima facie evidence of the role of relational capital in innovation activities, and underlines the spatial and sectoral difference of the effects of relational capital on innovation processes. Relational cpaital is defined in this paper as the stock of relations that a firm can entertain with other firms, institutions, research centres, measured through the intensity of cooperation among local actors. The paper is structured in two parts. In the first part, a review on the literature is presented, and the similarities and differences between the concept of relational capital and the more common concept of knowledge spillovers is underlined. In the second part, the empirical results of the analysis are presented; the empirical analysis is based on a database of 133 firms' observations, located in different geographical areas. With a quantitative approach, the paper replies to the following key questions: Is relational capital a determinant for innovation activities? If it is so, does it have the same role in urban and non-urban areas? Does it have a different role in specialized and despecialized areas? The empirical results to these questions help in understanding whether it is true that competitive city regions in the global economy are the major locations for relatively exclusive knowledge and learning resources. The paper shows that if relational capital plays a role in innovation activities, it may very well be that its role strongly depends on the sectoral as well as the spatial characteristics in which the innovation process takes place. Non-urban areas characterized by strong local synergies and highly specialized activities may even be more facilitated in their inovation activity.     

The ripple effects of large-scale transport infrastructure investment

We analyze the general equilibrium effects of an asymmetric decrease in transport costs, combining a large-scale spatial dynamic general equilibrium model for 267 European NUTS-2 regions with a detailed transport model at the level of individual road segments. As a case study, we consider the impact of the road infrastructure investments in Central and Eastern Europe of the European Cohesion Policy. Our analysis suggests that the decrease in transportation costs benefits the targeted regions via substantial increases in gross domestic product (GDP) and welfare compared to the baseline, and a small increase in population. The geographic information embedded in the transport model leads to relatively large predicted benefits in peripheral countries such as Greece and Finland, which hardly receive funds, but whose trade links cross Central and Eastern Europe, generating profit from the investments there. The richer, Western European nontargeted regions also enjoy a higher GDP after the investment in the East, but these effects are smaller. Thus, the policy reduces interregional disparities. There are rippled patterns in the predicted policy spillovers. In nontargeted countries, regions trading more intensely with regions where the investment is taking place on average benefit more compared to other regions within the same country, but also compared to neighboring regions across an international border. We uncover that regions importing goods from Central and Eastern Europe enjoy the largest spillovers. These regions become more competitive and expand exports, to the detriment of other regions in the same country.     

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。     

Outsmarting geography: implementing territorial innovation strategies in sparsely populated regions

The smart specialization literature has hardly addressed the role of geography in promoting novel approaches to local and regional innovation processes beyond classic clustering approaches. Based on empirical observations from five sparsely populated regions, the present article proposes original insights that contribute to the theoretical debate on the place-based nature and spatial dimension of entrepreneurial discovery, the key functional mechanism behind smart specialization. First, it advocates the added-value of integrating strategic spatial planning approaches at different stages of smart specialization implementation, from design to operationalization. Second, it suggests that more effective ways of creating domains through shared knowledge bases of existing sectors should aim at promoting collaboration between second-tier economic agents. Finally, the specificity of the territorial preconditions found in sparsely populated regions brings to the fore new forms of proximity relations based on institutional, cognitive and organizational proximity rather than on geographical clustering.     

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.     

Spatial Proximity and Intercompany Communication: Myths and Realities

Abstract

Spatial proximity is credited with numerous virtues in the economic literature. In particular, for a company to be located near other companies is seen as conducive to the development of business relations. Spatial proximity is also considered to contribute to the quality and efficiency of these relations by facilitating face-to-face meetings that foster the exchange of complex knowledge and, in particular, the emergence of innovation. This article explores the notion of spatial proximity in intercompany relations, its capacity to facilitate exchange, as well as the link with the methods of communication employed (information and communication technologies and face-to-face). It is based on a distinction between real proximity (the spatial distance between firms), perceived proximity (the spatial distance as evaluated by the firm itself) and active proximity (spatial proximity that facilitates the exchanges). The data come from a survey conducted in 2008 with more than 2000 firms located in the Brittany region (France). The findings emphasize the relative nature of the notion of spatial proximity and the distinction in some cases between real and active proximities, and show that the positive perception of the role of spatial proximity is sustained by the increased face-to-face contact it entails.     

Spatial variation in populist right voting in Austria, 2013–2017

The recent wave of populism sweeping Europe and the Americas generated considerable interest among political scientists, economists, sociologists and to some extent, geographers. The vast majority of these studies focuses on individual voter decisions or national comparisons over time but neglects the within-country spatial variation of the populist vote. This paper addresses this shortcoming and applies spatial econometric techniques to explore possible explanations for spatial variation in the increase of the populist right vote between the 2013 and 2017 national elections in Austria for 2118 municipalities. Spatial variation in voting shares can result from (1) compositional effects, regional differences in the composition of voters with different characteristics, (2) broad spatial, historically evolved institutional differences, such as membership to one of the nine states, (3) unequal integration of different types of regions into the global economy, such as peripheral regions, central urban regions, old industrial regions or tourist areas, (4) spatial vote spillovers due to localized social networks, and (5) unobserved spatial processes. We find that the populist right vote gains in Austrian municipalities are affected by all processes, but that the type of regions becomes insignificant once we correct for unobservable spatial structures in the regression framework. The increase in the share of foreigners, the share of foreigners, income and inequality levels, educational differences, selected state membership, as well as spatial spillovers of populist right voting are all important to explain spatial variation in the rise of the populist right vote.     

GPS-based measurement of geographic spillovers in tourism – example of Polish districts

The agglomeration phenomenon in tourism often spreads beyond the borders of territorial units what is referred to as geographic spillovers. However, the measurement of spatial concentration of tourism demand and economic activity is usually based on statistics collected within regional administrative boundaries and omits the spatial interdependency between neighboring regions. Recognition of such spatial interdependency in the standard procedure to define neighborhood relies on the distance between geometric means (centroids) of territorial units which, however, rarely reflects real ‘centers’ of tourism agglomerations and leads to errors and biased results. Hence, we propose to modify the measures of the neighborhood with the use of GPS coordinates of tourism firms and attractions in order to designate their regional central tendencies and thus to correct (shift in space) localization of centroids of territorial units. We test the usefulness of the new approach to obtain a more precise measurement of spatial concentration when tourism spills over beyond the boundaries of territorial units using the example of Polish districts. We employ the exploratory spatial data analysis (spatial statistics) and spatial regression models – to assess the difference between using traditional centroids and GPS coordinates in defining neighborhood and determining spillover effects in regional analysis. Furthermore we apply the new method into the model of tourism potential in order to identify spillover effects in Polish regions. We use the data collected by Central Statistical Office (tourists staying overnight in 379 districts in 2014) and by Polish Tourist Organization (14,390 GPS coordinates of individual entities: tourism firms and attractions). The neighborhood determined with the use of GPS coordinates to measure the distance between centers of tourism agglomerations eliminates the dependence of the results on the administrative boundaries – but only to some degree. The challenge is to identify tourism agglomeration phenomenon as such, based on the mobility of tourists in space.     

SPATIAL AUTOCORRELATION IN BRITISH UNEMPLOYMENT

ABSTRACT. The recent literature on local unemployment in Britain and the U.S. is reviewed, and a model estimated for Britain which is consistent with the findings of that literature. Spatial econometric techniques are applied to test and elaborate on that model. The results indmte the presence of significant spillovers in adjustments to local demand shocks. These spillovers occur over a wide spatial field and are strongest after a lag, suggesting that they reflect migration behavior. In addition, highly localized spatial interactions are found, consistent with commuting adjustments in response to shocks. Incorporating these effects eliminates spatial autocorrelation from the residuals. A simulation exercise is undertaken to demonstrate the effects of supply- and demand-side shocks on the model solution.     

城市紧凑度对中国城市创新的影响

城市空间特征与创新的关系是创新地理的重要研究议题.论文构建了城市紧凑度与城市创新的理论分析框架,提出研究假设,并选取中国地级及以上城市作为研究空间单元,从密度、土地混合利用、街道连通性和交通通达性四个方面构建了城市紧凑度指数,对2010年中国城市紧凑度进行了评价,分析了中国城市紧凑度的空间分布特征,在此基础上,采用空间...