In this introductory Chapter the rationale for this research is explained and an overview of the thesis is provided. This chapter serves as a concise introduction to the subject of the knowledge base and knowledge pipelines in a metropolis as Brussels, as well as providing an insight into the policy driven empirical research with additional focus on the appropriate spatial level of analysis to highlight the spatial inequality of innovation. The objectives of the thesis are reviewed by giving an overview of the research questions and the main hypotheses related to them. The theoretical background used in this thesis is briefly outlined. The structure of the thesis can be summarised as follows. The second chapter provides basic information about data on patents and scientific publications, the construction of indicators based on patents and scientific publications, as well as guidelines for the compilation and interpretation of patent and scientific publication indicators. The third chapter focuses on the determinants of the efficiency levels across regions in Belgium at different spatial levels. The fourth chapter builds on the research made in the previous chapters and focuses on the analysis of the impact of patent collaboration networks on the output growth of R&D active companies in Belgium. The fifth chapter analyses the impact of different collaboration ties on the productivity of innovative companies in Belgium, measured in several ways through the innovation survey and in terms of patents. The conclusion reported in the last chapter summarises the main findings and highlight possible suggestions for future research. / Benchmarking exercises are increasingly used as an assessment instrument to guide policy-makers. They contribute to policy-making in three broad ways: delineating and monitoring development and progress; facilitating the exchange and gathering of knowledge on practices and policies; and promoting the image and attractiveness of economies. This research complements existing information about the Brussels Regional Innovation System (BRIS) with additional data that is less frequently available through current channels or difficult to make public due to the number of data manipulations. This research illustrates the Brussels innovation system by focusing on various aspects related to intra- and interregional connections. The dataset is based on scientific publications and patents over the period 1993-2013 containing at least one author with an affiliation or one inventor located in the Brussels-Capital Region, Vienna and Berlin. Patents and scientific publications provide a clear picture of the nature of technological change and innovation. Moreover, these sources give some further indication of R&D activities in the field and the position and specialisation of countries. The main benefit of such indicators is the unique empirical characterization they provide of the way actors interact as a collective system of knowledge production and diffusion (OECD, 1996). The main objective of this work is to compare Brussels with Belgian regions, city agglomerations and districts, as well as with capital cities of metropolitan regions (Vienna and Berlin) in terms of patenting and producing scientific publications, in order to map and understand how knowledge exchange takes place when Brussels actors are involved and which partners, locations, scientific fields and technological sectors are preferred. The main focus is on providing basic information about patent and scientific publication data, the construction of indicators based on patents and scientific publications, as well as guidelines for the compilation and interpretation of patent and scientific publication indicators. / The topic of the spatial pattern in R&D activities was investigated by several scholars. It is worthwhile to explore the dynamism and change of R&D activities’ spatial spread as R&D activities are very much a dynamic phenomenon and the consequences in terms of past growth of these activities have painted the current relative position of the regions. Analysing the determinants of the efficiency levels across Belgian regions at different spatial levels (3 regions, 10 provinces, 43 districts, and city agglomerations), we derive a regression based on the measurement of regional output growth by estimating an extended Cobb-Douglas production function based on a representative sample of Belgian R&D active firms over the period 2000-2013. We investigate the role played by knowledge (private and public R&D stocks) on the output growth by applying spatial econometric methods that account for both heteroscedasticity and spatial autocorrelation. The chapter focuses on the comparison of obtained results with previous studies based on Belgium. It turns out that a large part of output growth differences across the Belgian regions are explained by disparities in the endowments of these determinants. / Although the literature on the relations between patents and output growth of R&D active companies has been widely investigated, there has been little research with respect to the impact of patent collaboration networks on the output growth of R&D active companies. Integrating theoretical developments from the literature, we propose and test a conceptual framework that allows us to explain to what extent patent collaboration networks affect output growth. Testing the framework by using a constructed company-level dataset for Belgium, the empirical analysis reveals that output growth is significantly influenced by patenting activities and by collaborative relations with respect to patents. The chapter focuses on two distinct spatial levels. First, the spatial reach of the patent collaboration network is considered. The findings show that output growth is higher when collaborative relations are internationally oriented. Second, the regional location of the company shows differences in patenting activity, patent collaboration, and the spatial reach of the patent collaboration network. / Inter-organisational relations are a crucial aspect of knowledge flows, which are at the same time an important engine for innovation. Collaboration has become an ever more important feature of entrepreneurial strategy to innovate. Network ties facilitate companies’ innovative capabilities by acting as key sources for innovations, helping to access the resources and boosting knowledge transfer. This chapter analyses the impact of different collaboration ties on the productivity of innovative companies in Belgium, measured in several ways through the innovation survey (Community Innovation Survey) and in terms of patents (Patstat). Patent statistics are used as an objective measure for innovation. Unlike patent data, innovation surveys measure innovation activities carried out in companies. This chapter is primarily concerned with the following research question: do collaboration networks, as measured by innovation surveys (CIS database) and by invention applications (Patstat database), impact productivity growth in the same way? Further, this chapter focuses on an alternative spatial approach in order to look into the role played by proximate and distant inter-organisational networks among organisations. The findings show that the collaboration ties between companies are contributing the most to productivity growth followed by collaboration ties involving universities and government, public or private research institutes. Second, the spatial reach of the inter-organisational networks shows divergent impact on productivity performance of innovating companies. / Doctorat en Sciences économiques et de gestion / info:eu-repo/semantics/nonPublished