Knowledge Production in European Regions: The Impact of Regional Strategies and Regionalization on Innovation

In the last 15 years, the regional scale was used to implement innovation strategies in European Union. Departing from the discussion of the relevance of innovation policy at the regional level, the article benefits from the knowledge production function framework to estimate patterns considering 175 European regions. It is intended to understand whether regional innovation strategies developed and applied between 1994 and 2001 were successful at an aggregated level in contributing for knowledge creation measured in terms of patents and high technology patents. The results underline the relevance of private R&D expenditure and medium and high technology employment to increase patent numbers. The models suggest also that administrative regionalization may be important to regional innovation and that the creation and implementation of a regional strategy have a positive contribution for high tech innovation.     

European Policy and the Regions: A Review and Analysis of Tensions

This article explores a series of tensions inherent in the series of European policies that are designed to improve the competitiveness of regions in the face of globalization. Its focus is the co-existence of interventionist policies intended to overcome problems of lagging regions such as cohesion policies and those, for example competition policy which are designed to remove barriers to market integration and that are anti-interventionist. Moreover, the changing relationship between the European Union (EU), member states and the regions and problems of how regions are defined complicate policy implementation. To review these issues, the article adopts an agent-centred approach to understanding economic behaviour in the face of globalization in particular geographical and sectoral contexts. This methodology is used to highlight five sources of tension relating to the reality of the experience of globalization. These are illustrated by evidence from a recently completed EU Fifth Framework Programme study of regional adjustment strategies and technological change in five European countries.     

Informality and Flexible Specialization: Apprenticeships and Knowledge Spillovers in an Indian Silk Weaving Cluster

This article draws on quantitative and qualitative data from the Banaras (Varanasi) silk weaving cluster in North India to show how informal institutions based on family and community interact with the relations of production to enable flexible specialization while reproducing or accentuating inequality. The family‐based apprenticeship system produces a supply of highly skilled workers but contributes to labour surplus by lowering the costs of entry and making exit difficult. Surplus labour ensures that productivity gains resulting from technical improvements do not accrue to weavers as higher wages. A community of artisans called the naqsheband (designers) produces fabric patterns that are central to the industry's market. Geographical clustering results in quick diffusion of these designs and free imitation is the key to innovation. But this entails hyper‐competition, conservative changes, a culture of secrecy and quickly dissipating monopoly rents. The Banaras case enables us to understand how collective efficiencies as well as inefficiencies are created by the same institutions.     

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.     

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.     

Localization of Business Services in European Regions: Large Urban Areas Stand Out

The recent increase in business services in terms of both value added and employment has had a positive effect on regional economies, helping them to create a comparative advantage and contributing to the general development of regional productive systems. This heterogeneous set of activities is characterized, among others, by its uneven distribution in the territory. In this paper we aim to identify the key factors that influence the location of business services within the NUTS 2 regions of the European Union. Using a multivariate analytical approach (combining a principal components factor analysis and a multiple linear regression by means of ordinary least squares), four key factors have been identified. In terms of their influence on the location of business services, we can pinpoint the following factors: urban dimension, competitiveness, accessibility and economic dynamism. It was found that business services tend to locate in urban, densely populated and dynamic areas with high levels of competitiveness and easy access.     

Building a Knowledge Economy in Ireland Through European Research Networks

The success of the Irish economy, and the technology sector in particular, over the last decade has been well noted. This article seeks to uncover the role that Irish participation in the ESPRIT programme of the European Union's Fourth Framework Programme has played in the building of Ireland's knowledge economy through its promotion of research collaboration. The primary goal of ESPRIT was the promotion of networking between organizations of similar interest across Europe, and in this article we examine the effects of the imposition of these more formal networks on organizations. The shift towards the promotion of more informal networks among European organizations in the pursuit of innovation is highlighted. After looking at Irish participation in the programme, we gauge the success of various projects and partners, and note the differences between networks, which were in place before participation in ESPRIT, where personal networking was evident, and the more formal networks created by ESPRIT. What becomes most obvious from analysing Irish participation is the conscious move on the part of those networks with a prior existence to advance their own research agenda by means of ESPRIT.     

Measuring the Economic,Social and Environmental Performance of European Island Regions: Emerging Issues for European and Regional Policy

Islands in the European Union (EU) are very diverse, with many small or very small islands and are recognized as territories facing particular development challenges. In this study, we seek to compare the state and the attractiveness of island administration units in their national and EU context and highlight their divergence in different dimensions, building on existing analysis of the European Commission and of ESPON, using more indicators than the GDP per capita. The assessment is performed with the use of five different indexes: one for the state of development, one for changes during 2000–2006 and three for the attractiveness of islands (direct effects of insularity to attractiveness, indirect effects and natural and cultural potential of islands). Findings for economy demonstrate that islands with better economic performance either specialize in a low added value activity (tourism), or have their GDP “boosted” by exogenous influences (duty free area, oil extraction or the public sector). For attractiveness, most of the islands perform very low and the situation of small islands and archipelagos is worse. Since insularity can be considered as a permanent, natural feature affecting negatively, directly and indirectly, most of the factors that make islands attractive, the need for a territorial policy emerges.     

Bayesian Areal Wombling for Geographical Boundary Analysis

In the analysis of spatially referenced data, interest often focuses not on prediction of the spatially indexed variable itself, but on boundary analysis , that is, the determination of boundaries on the map that separate areas of higher and lower values. Existing boundary analysis methods are sometimes generically referred to as wombling , after a foundational article by Womble (1951). When data are available at point level (e.g., exact latitude and longitude of disease cases), such boundaries are most naturally obtained by locating the points of steepest ascent or descent on the fitted spatial surface (Banerjee, Gelfand, and Sirmans 2003). In this article, we propose related methods for areal data (i.e., data which consist only of sums or averages over geopolitical regions). Such methods are valuable in determining boundaries for data sets that, perhaps due to confidentiality concerns, are available only in ecological (aggregated) format, or are only collected this way (e.g., delivery of health-care or cost information). After a brief review of existing algorithmic techniques (including that implemented in the commercial software BoundarySeer), we propose a fully model-based framework for areal wombling, using Bayesian hierarchical models with posterior summaries computed using Markov chain Monte Carlo methods. We explore the suitability of various existing hierarchical and spatial software packages (notably S-plus and WinBUGS) to the task, and show the approach's superiority over existing nonstochastic alternatives, both in terms of utility and average mean square error behavior. We also illustrate our methods (as well as the solution of advanced modeling issues such as simultaneous inference) using colorectal cancer late detection data collected at the county level in the state of Minnesota.     

Spillovers and the Locational Effects of Public Infrastructure

This paper examines the possibility of negative output spillovers frompublic infrastructure. A model of productive public capital shows that when input factors aremobile, public infrastructure investments in one location can draw production away from otherlocations. In a linear production-function framework, this effect would be manifested as anegative output spillover from public capital. Using data for California counties from 1969through 1988, such negative spillover effects are shown to exist in the case ofstreet-and-highway capital. The data show that changes in county output are positivelyassociated with changes in street-and-highway capital within the same county, but outputchanges are negatively associated with changes in street-and-highway capital in other counties.     

客家地区二次葬习俗探析

二次葬习俗起源于新石器时代,曾经在全国各地普遍存在,现在只是在客家地区以及受客家文化影响的其余汉族地区和个别少数民族地区留存。据赣南地方志记载,历史上赣南政府曾经对二次葬习俗采取打压和否定政策,但却屡禁不止。二次葬习俗在客家地区长久留存是由风水信仰、地域原因、宗族组织、民俗的稳定性等多种原因综合造成的,对于作为文化遗产的二次葬习俗,我们要审慎对待。     

文化区域分类的定量讨论

考古学家对文化区域类型的区分主要通过器物特征和器物组合关系的变化来把握相对年代和空间分布形态,具有较强的直观性和经验性。本文在考古分类中引入了定量分析的方法,并结合具体材料进行了实例尝试,以期使考古学区系类型的建立更趋科学和完善。     

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.