This study examines the relationship between R&D intensity (R&D/sales) and firm value. Additionally, both the moderating effect of endogenous firm characteristics (i.e. firm size, leverage and the interaction between size and leverage) and institutional quality are considered. By employing a sample of 1,833 firms throughout 49 countries, this study finds evidence supporting a positive association between R&D and firm value in its cross-national sample. Moreover, the results support the positive moderating effect of leverage on the relationship between R&D and firm value, in favour of the disciplining role of debt. Furthermore, a negative moderating effect of firm size is found, suggesting that smaller firms possess a superior ability to appropriate value from their R&D investments. Lastly, the size-leverage interaction reveals that small firms with high leverage reap the greatest firm value from their R&D investments.

This thesis investigates the theoretical and empirical relationships between a firm’s R&D investment intensity and the systematic risk of its common stock in Sweden. This is done by examining 38 Swedish firms between 1997 and 2005. An overlapping set of 5-year window is chosen to apply to calculate the variables of the samples. In this thesis, three factors are introduced as a proxy of main constituents of systematic risk: intrinsic business risk, degree of financial leverage and degree of operating leverage. And we use these three constituents to analysis the relationship between R&D investment and systematic risk. The results from Monte Carlos simulations and correlation analysis of our sample show that, in Sweden, firms with higher R&D intensity do face higher stock price volatility in the stock market. At the same time, we attempt to test the relationship among R&D and systematic risk’s three constituents, but find that R&D intensive firms have more financial leverage which is opposite to our expect, which might due to the shortage of data and limitation of our sample selection, and R&D intensive firms do not have obvious relations directly with intrinsic business risk, degree of financial leverage or degree of operating leverage.

<p>This thesis investigates the theoretical and empirical relationships between a firm’s R&D investment intensity and the systematic risk of its common stock in Sweden. This is done by examining 38 Swedish firms between 1997 and 2005. An overlapping set of 5-year window is chosen to apply to calculate the variables of the samples.</p><p>In this thesis, three factors are introduced as a proxy of main constituents of systematic risk: intrinsic business risk, degree of financial leverage and degree of operating leverage. And we use these three constituents to analysis the relationship between R&D investment and systematic risk.</p><p>The results from Monte Carlos simulations and correlation analysis of our sample show that, in Sweden, firms with higher R&D intensity do face higher stock price volatility in the stock market. At the same time, we attempt to test the relationship among R&D and systematic risk’s three constituents, but find that R&D intensive firms have more financial leverage which is opposite to our expect, which might due to the shortage of data and limitation of our sample selection, and R&D intensive firms do not have obvious relations directly with intrinsic business risk, degree of financial leverage or degree of operating leverage.</p>

This is a quantitative thesis of the Swedish biotech industry, that intends to study what effect M&amp;A activity has on firms R&amp;D intensity. It is an important question as the market demand is changing rapidly and puts high pressure on companies to constantly deliver new innovations. The study is based on panel data and ordinary least squares regressions. The findings are similar to previous studies, which points towards both positive and negative directions when referring to M&amp;A activity and its impact on R&amp;D intensity. This thesis show lack of statistical significant results when it comes to how R&amp;D intensity (R&amp;D intensity is defined as the ratio of R&amp;D expenditure to total sales) is affected by M&amp;A activity.

This dissertation investigates the structure of incentive contracts in which adverse selection problems are more severe. Specifically, I examine the moderating effect of R&D intensity on the relative weights placed on signals of ability and on performance measures in executive compensation. Furthermore, I also investigate the determinants on the compensation of university presidents. I find that that more weight is placed on signals of ability in R&D intensive firms and less weight is placed on performance measures. I find that R&D intensive firms pay more to executives with technical work experience and/or relevant educational degrees. Additionally, in the context of university presidents, the positive association between organizational complexity and executive compensation is driven by the role of managerial ability rather than by effort. This result also suggests that considering measures of organizational complexity (such as firm size and diversification) as control variables in empirical studies of executive compensation is the appropriate means by which to account for the impact of organizational complexity. / Business Administration/Accounting

Σκοπός της παρούσας εργασίας είναι ο προσδιορισμός των βασικών χαρακτηριστικών των ενεργών ΕΤΑ (Έρευνα και Τεχνολογική Ανάπτυξη) επιχειρήσεων στους κλάδους πλαστικών και μη μεταλλικών ορυκτών στην Ελλάδα. Τα στοιχεία της εργασίας προέρχονται από τους δημοσιευμένους ισολογισμούς των επιχειρήσεων και αναφέρονται στα έτη από το 2001 έως και το 2008. Η επιλογή του δείγματος έγινε με κριτήριο εάν έχουν δηλωθεί έξοδα για ΕΤΑ στους ισολογισμούς των επιχειρήσεων. Για να ερμηνευθούν οι διαφοροποιήσεις σς ένα συγκεκριμένο χαρακτηριστικό των επιχειρήσεων, την ένταση δραστηριοτήτων ΕΤΑ,εκτιμήθηκαν υποδείγματα πολλαπλής γραμμικής παλινδρόμησης με τη μέθοδο Ελαχίστων Τετραγώνων (OLS), τα οποία είναι σε μορφή πάνελ δεδομένων. Τα αποτελέσματα της εμπειρικής ανάλυσης παρουσιάζουν σημαντικές διαφορές στους δύο κλάδους. / This study considers some of the economic issues surrounding determining factors of active R&D (Research and Development) firms. It includes firms belonging in the Greek plastics and non- metallic minerals industry. Data are derived from firms' published balance sheets and are referred to years 2001-2008. The sample has been chosen depending on whether expenses for R&D had been reported in the balance sheets. In order to interpret why differences around R&D intensity exist among firms, there have been estimated multiple linear regression models using the OLS method in panel data. Results from empirical analysis have significant differences among the two sectors.

Yes / Although previous studies have shown the positive effect of research and development (R&D) intensity on new product performance (NPP), our understanding about the mechanisms through which R&D intensity influence NPP is less understood. In this paper, we focus on the mediating role of international R&D teams in explaining the effect of R&D intensity on NPP. Since R&D teams are dispersed across the globe, thus examining the role of international R&D teams will provide a more nuanced understanding of the mechanisms through which R&D intensity contributes to NPP. Using survey data from 201 Ghanaian firms engaged in internationalization activities, the results suggest that the use of international R&D teams mediates the relationship between R&D intensity and NPP. Moreover, the findings indicate that the use of international R&D teams improves NPP and that this linkage is amplified when the knowledge creation process inside the firm is stronger. We discuss the implications of these findings for theory and practice.

The main purpose of this study is to enhance the analysis of the impact of R&amp;D expenditure on firms’ growth. This study adopts an OLS regression for a data sample of 46 firms listed on Nasdaq Stockholm for the 2006-2019 period. We present models with R&amp;D expenditure and R&amp;D intensity as the main mechanisms of firm growth, defined as sales growth in this study. Furthermore, firm size, firm age and sector belonging determining the R&amp;D and sales growth relationship are also investigated. We find that R&amp;D intensity has a statistically significant negative impact on firm growth, while R&amp;D expenditure does not show a statistically significant relationship to firm growth. Thus, the results of this paper suggest that devoting a higher proportion of your sales to R&amp;D activities does not translate into firm growth.

The Thesis is composed by three complementary research investigations on the economic and policy aspects of EU corporate R&D.Collectively, the work first reviews the theoretical and empirical literature of corporate R&D intensity decomposition; it then investigates the EU R&D intensity and its decomposition elements comparatively with most closed competitors and with emerging economies over the period 2005-2013. Finally, it inspects further some key aspects that can be associated to the EU R&D intensity gap: sectoral dynamics and the resulting sectoral and technological specialisations as well as the drivers for R&D investment growth across sectors and firms' age groups of top R&D investing firms over time. These studies also address the possible policy implications that derive from their outcomes.The investigations rely on literature as well as on company data, mainly from nine editions (2006-2014) of the EU Industrial R&D Investment Scoreboard. For analytical purposes they use literature review, meta-analysis, descriptive statistics, R&D intensity decomposition computational approach, Manhattan distance and Technological Revealed Comparative Advantage metrics, and a multinominal logit regression model. The results of these three research works are novel in several aspects. It indicates that literature results on R&D intensity decomposition differ because of data and methodological heterogeneities, and that the structural cause is the main determinant of EU R&D intensity gap if sector compositions of the countries are considered. It inspects how the use of different data sources and analytical methods impact differently on R&D intensity decomposition results, and what the analytical and policy implications are.The empirical research results of this Thesis confirm the structural nature of the EU R&D intensity gap. In the last decade the gap between the EU and the USA has widened, whereas the EU gap with Japan has remained relatively stable. In contrast, the emerging countries' R&D intensity gap compared to the EU has remained relatively stable, while companies from emerging economies are considerably reducing such gap. Besides, as novel contribution to the state of the art of the literature, this Thesis uncovers the differences between EU and US by inspecting which sectors, countries and firms are more accountable for the aggregate R&D intensity performance of these two economies, and it finds a high heterogeneity of firms' R&D intensity within sectors. Furthermore, it shows that there is a bigger population of both larger and smaller US top R&D firms which invest more strongly in R&D than competitors, and that the global R&D investment is concentrated in a few firms, countries and industries. Finally, the research founds a slightly higher EU R&D shift over sectors compared to the US, but not strongly enough towards high-tech sectors. Also, the EU has an even broader technological specialisation than its already broad industrial R&D sector specialisation, while the USA leads by number of technological fields belonging mostly to the industrial R&D sectors of its specialisation. Furthermore, the EU has been better able than the USA and Japan to maintain its world share of R&D investment even during the years of economic and financial crisis. Lastly, the study also indicates that firms make a complementary use of capital expenditures and R&D intensity for their R&D investment growth strategies and it reveals that there are differences in their use between firms' age classes across sectors. Overall, the main results of the Thesis suggest that to reach a more positive R&D dynamics and boost its competitiveness, the EU should adapt its industrial structure and increase the weight of high R&D intensive sectors. A focus on creating the conditions for firm creation and growth in new-emerging innovative sectors is advised together with favouring the exploitation of the full capacity of EU leading - but mature - sectors to also absorb high-technology from other sectors. / Doctorat en Sciences économiques et de gestion / info:eu-repo/semantics/nonPublished

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