Corporate taxation is a very politicized topic, and policymakers have different perspectives on what level of corporate tax rate yields the optimal outcome for research and innovation activity. The argument is divided where one side believes that corporate taxation and R&D activity has a negative relationship, which implies that a decrease in corporate taxation yields a better outcome for firms’ R&D activity. Whilst the other side believes that there exists a positive relationship, implying that the prevailing strategy is to increase corporate taxes to further encourage R&D activity. Therefore, the inherent purpose of this study focuses on the effect that corporate taxation has on the U.S corporate environment, whilst researching to understand the two polarized perspectives on corporate taxation and discover which perspective appears more prominent. To succeed in this regard, this study extracts internal financial information from firms located in the U.S states, by comparing the corporate tax change that the Trump administration implemented in 2018. Enabling this research study to compare firms’ R&D expenditure during the pre-tax reform (2017) with the post-tax reform (2018), indicating a firm’s differences in R&D expenditure. The difference-in-difference method was used with a total sample size of 71 firms, which uses a control group and a treatment group to negate macro-environmental disruptions to indicate the accurate effects of the tax policy change. The results state that companies that experienced a reduction in corporate taxes raised their R&D expenditure, approximately by 11.60%. This showed that there was a very large increase in R&D activity when corporate taxation was significantly lowered, which would support the literature’s findings that suggested the existence of a negative relationship. However, the research yielded a result that would indicate that the 11.60% increase was not a statistically significant result and that further studies need to be conducted.

Les startups innovantes orientées technologies mènent de nombreusesexpérimentations pour recueillir suffisamment de preuves de valeur, et réduire ainsiles incertitudes avant le lancement de leurs produits et services sur le marché. Bienque les moyens des startups soient limités, ces expérimentations sont souventaléatoires, itératives et nécessitent un investissement important en termes de tempset de ressources. Des solutions doivent ainsi leur être apportées afin de les aider àmieux planifier la maturation de leur technologie et à mieux identifier les opportunitéssur le marché. C’est dans ce contexte que s’inscrit la présente recherche.Une revue de la littérature est d’abord menée dans les domaines de l'ingénierie de laconception ainsi que du management de la technologie et de l'innovation. Cetteanalyse démontre que les méthodes et outils existants ne permettent pas d’établir desfeuilles de route précises et quantitatives pour mener des expérimentationspertinentes. Une enquête est ensuite réalisée sur les pratiques de 60 startupsinnovantes dans le contexte de la Ville de Paris. Cette recherche révèle que malgrél’utilisation des méthodes d’innovation telles que Lean Startup et BMC (BusinessModel Canvas), les startups n’ont aucun outil pratique pour spécifier et planifier leursexpérimentations, ou pour allouer efficacement leurs ressources.Par conséquent, cette recherche apporte trois contributions. D'abord, l'outil BMC estcombiné avec la quantification des poches de valeur (opportunités) et une séried’indicateurs quantitatifs permettant d’assurer la pertinente de l'offre de valeur.Ensuite, une méthodologie dénommée DUE (Design by Usage-based Experimentation)est proposée afin d’examiner l'ensemble des marchés potentiels et d’identifier lesprincipales propriétés technologiques à améliorer grâce à l’expérimentation. Uneméthodologie quantitative nommée RITHM (Roadmapping Investments in TecHnologyand Market) est par la suite proposée pour optimiser les expérimentations pourqu’elles puissent aboutir à la maturation d'une technologie pour atteindre les marchésles plus profitables. La pertinence de ces méthodologies est évaluée en les appliquantà une startup orientée technologies et par la validation d’experts. Enfin, cette rechercheconclue qu'il est possible d’améliorer la spécification des feuilles de routed’expérimentations dans une startup technologique et de mieux orienter sesinvestissements vers des stratégies R&D plus efficaces et économiques.Cette recherche peut contribuer à soutenir de manière significative la prise de décisionde différents acteurs, comme par exemple, les entrepreneurs, qui doivent justifier desdépenses de R&D dans des dossiers de levée de fonds, ou des investisseurs publicset privés qui cherchent à minimiser les risques d'investissement dans destechnologies innovantes, ou enfin des technology scouts. / Technology-oriented innovative startups must conduct extensive experiments to gather sufficient proofs of value, so that they may reduce uncertainties before the launch of their products and services on the market. Despite their limited resources, the experiments conducted by startups are often random, loop-based and consequently time and resource consuming. Hence, startups need solutions to help them better planning their technology maturation and identifying market opportunities. It is in the context that the current research is carried out.First, a literature review is conducted in the fields of engineering design, technology management and innovation management. This review suggests that the existing methods and tools fail to provide accurate and quantitative roadmaps to conduct relevant experiments. Second, this research surveys the design and testing practices of 60 innovative startups in the context of the City of Paris. This investigation reveals that despite the use of popular innovation methods such as Business Model Canvas (BMC) and Lean Startup, startups have no practical tools for specifying and planning experiments, nor for efficiently using their resources.Therefore, this research makes the following three contributions. First, the BMC tool is combined with quantified value buckets (opportunities) and innovativeness indicators in order to make sure that the value offer is effective and significant. Second, a Design by Usage-based Experimentation (DUE) methodology is proposed to help screening the whole set of potential markets and to identify the main technology properties that need to be improved through experiments. Third, a quantitative methodology called RITHM (Roadmapping Investments in TecHnology and Market) is proposed to optimize the set of experiments, so that they result in the maturation of a technology to reach the most profitable markets. The relevance of the proposed methodologies is assessed through their application to technology-oriented innovative startups and also through expert validation. Finally, this research concludes that it is possible, with more effective and economical R&D strategies, to better define experiment roadmaps and better steer technological startup investment.This research may significantly support the decision-making process of various actors: entrepreneurs, who need to justify R&D expenses in fund-raising applications; public and private investors, who constantly tend to minimize investment risks in innovative technologies; or technology scouts.

Par la promotion de l’innovation en réseau, les instruments de dynamiques territoriales sont devenus aujourd’hui des outils de support indispensables à la compétitivité des entreprises et à la croissance des nations. C’est dans cet esprit que sont conçus les pôles de compétitivité dans le dispositif français de 2005. L’innovation collaborative à l’échelle des pôles de compétitivité vise en premier lieu à créer des débouchés nouveaux, c’est-à-dire à générer des innovations prêtes à être diffusées sur les marchés. Or, si les réseaux d’innovation ont été largement étudiés à travers des outils de pilotage, de gouvernance et de coordination, par la finance, la propriété intellectuelle ou les pratiques de RH, par la formation, par la confiance entre les partenaires, par les externalités, ou encore par la dynamique des PME, une carence persiste dans les recherches actuelles à propos de l’orientation stratégique composite des réseaux d’innovation, en particulier l’orientation marché ou client dans la dynamique des projets/acteurs. Les premiers rapports d’évaluation des Pôles dénotent au demeurant, des écueils relatifs à une collaboration propice à des innovations prêtes pour l’accès aux marché et la stabilisation de problèmes liés au fonctionnement, à la gouvernance et à la performance des pôles. Tout en nous inscrivant dans le courant des travaux de recherche qui mettent en exergue les spécificités du dispositif français des pôles de compétitivité composé d’acteurs complémentaires (Recherche, Formation et Entreprises), notre travail met l’accent sur le fait que l’innovation collaborative est mise en tension par des intentions stratégiques différenciées, liées précisément aux profils hétérogènes, et parfois divergents, des partenaires animés par un projet commun. Par une analyse empirique portant sur le pôle SCS que nous avons choisi en raison de son profil, de la nature de ses projets et de son historique collaboratif avec notre laboratoire de recherche (abondance de données préexistantes), nous tentons de comprendre la façon dont s’intègre l’orientation « marché » dans les projets d’innovation en réseau, et le rôle que la dimension marketing joue dans la dynamique d’innovation collaborative au sein des pôles de compétitivité. L’étude « qualimétrique » conduite a permis de mettre en évidence une relation de dépendance réciproque très forte entre les particularités des déterminants de l’innovation collaborative, notamment les profils d’acteurs et les intentions stratégiques, et les modalités d’intégration de l’orientation client/marché dans les dans les projets d’innovation collaboratifs (PIC). L’attribut « réseaux de connaissances » qui distingue les PdC octroie au marketing une place limitée dans les PIC. Aujourd’hui, une révision du modèle assimilable à un « réseau connaissances » s’impose, car les résultats montrent aussi une limite des marges de manœuvre des Pôles qui peut constituer une entrave à l’accès aux marchés des innovations issues des PIC. En effet, le processus d’innovation collaborative à l’échelle des PdC ne permet qu’au plus de parvenir à dresser des prototypes (β Product) et n’octroie pas de possibilité d’aller au-delà (test, production, mise sur le marché, etc.). Nos contributions théoriques et managériales permettent aujourd’hui d’ouvrir des grilles d’analyses nouvelles et d’améliorer le fonctionnement, la gouvernance et la performance des pôles à travers le succès des projets d’innovations collaboratifs. La thèse nous a aussi amené à développer des hypothèses nouvelles qui pourraient être échafaudées dans le cadre de recherches ultérieures, notamment au regard de la pertinence des réseaux de connaissances dans le processus complet d'innovation collaborative. / By promoting networked innovation, instruments of territorial dynamics have now turn out to be essential tools supporting firms' competitiveness and growth of nations. Clusters of competitiveness (CC) designed by French government in 2005 follows that state of mind. The first goal of collaborative innovation within CC is to create new opportunities and generate innovations ready to be diffused on new markets. However, if innovation networks have been widely studied through many questions (such as monitoring tools, governance and coordination, with finance, intellectual property or HR practices, training, trust between partners, externalities, or by the dynamics of SMEs), a deficiency persists in current researches about the strategic orientation of the composite innovation networks, more particularly with the customer or market orientation in the dynamics of projects / actors. Moreover, the first evaluation reports of the system had put a focus on pitfalls considering its capacity to generate innovations ready for market access and the stabilization of operation difficulties, as well as some governance and performance problems. While placing our analysis within current researches which highlight the specificities of the French clusters of competitiveness composed of complementary protagonists (Research, Academic and Enterprise), we intend to focus on the fact that collaborative innovation is tensioned by differentiated strategic intentions and profiles specifically related to heterogeneous, and sometimes conflicting, partners driven by a common project. By an empirical analysis carried out on the SCS French cluster chosen owing to its profile, the nature of its projects and the background history of collaboration with our laboratory (a wealth of existing data); we try to understand how the customer orientation fits into the clusters, and the role that marketing plays in the dynamic collaborative innovation within clusters of competitiveness. Our “qualimetric” study has allowed us to bring out a very strong mutual relationship of dependency between the particularity of collaborative innovation determinants, notably profiles of actors and strategic intentions, and how to integrate the customer / market orientation within the collaborative innovation projects. As "knowledge networks", CC grant to marketing and customer orientation a limited role in the collaborative innovation projects. Today, a revision of the model similar to a "knowledge network" is needed because our results seem also to reveal a limited room for maneuver of clusters of competitiveness, which can be for the collaborative innovation projects an obstacle for generating innovations ready for market access. Indeed, in its current state the process of collaborative innovation on a clusters of competitiveness scale enable only to obtain prototypes (β Product), and does not permit to go beyond (ie. test, production, market, etc.). Our theoretical and managerial contributions allow to open up new analytical tools as well as to improve the operation, the governance and the performance of cluster competitiveness through the success of collaborative innovation projects. The thesis has also led us to develop new hypotheses, which could be built up through further researches, in particular with regard to the relevance of knowledge networks in the whole process of collaborative innovation.

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 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

由於資訊科技的發達，使全球資訊的分享加速，一方面使得企業創新的刺激源源不絕，另一方面也使得消費者的需求慾望越來越廣，造成產品生命週期不斷縮短，在現今的環境下，企業若要長久經營甚至維持成長，就必需積極從事創新之新產品開發。雖說新產品或技術的創新對企業的貢獻相當大，但研發專案往往存在高度不確定性且耗時耗力，一旦專案失敗，亦會對企業造成相當程度的傷害，導致許多企業望之卻步。因此，1960年代初期，Mansfield(1968)等學者開始從事研發支出費用與產業或公司生產力相關性的研究。其後，由於財報資料取得的方便性與客觀性，加上個別研發專案的效益較難追蹤、亦難以評估，大多數研發投入與研發績效相關的研究，首先，在變數上都是以財報上的財務數字為基礎，如研發費用、研發密度、公司獲利、營收等；其次，在研究個體上則是以企業整體為主。然而，過去許多研發投入與績效相關之研究，不論在投入面或效益面皆提出了許多非財務性的項目，此外，在現今即將邁入第四代研發管理的環境下，組織企業的研究發展工作多以「專案」的方式來進行，而非以年度企業整體預算進行管理。綜合上述兩點過去此類研究與實務上之落差，本研究採用經濟部工業局「主導性新產品開發計劃」之計劃成效追蹤問卷資料，以個別研發專案為研究對象，並將投入面擴大區分為成本、人力、時間三個構面，探討研發專案投入對非財務面之技術產出及財務績效之影響，期能彌補過去此類研究與實務上之落差。 本研究依照研發專案投入所產生之非財務與財務績效構面，分成兩大研究主題，研究結果顯示： 一、研發專案投入對技術產出之影響：專案投資金額對專利權與創新技術數有顯著正向的影響，專案研發人員之教育程度只對創新技術數有顯著正向之影響，研發時間與專案技術產出皆無顯著相關。 二、研發專案投入對財務產出之影響及其遞延效果：專案投資金額與專案研發人員之教育程度對開發產品銷售額具有顯著之正向影響，且從產品銷售第一年起，沒有時間上的落差，且專案投資金額之影響可延續三年，專案研發人員之教育程度之影響可延續兩年，研發時間與開發產品銷售額無顯著相關。 此外，吾人並針對實證結果與實務界人士進行訪談，瞭解與假說不符者之原因，結果發現：專案研發時間較長，不完全是因為企業願意投入較多的心力，有很大的可能是研發瓶頸的發生與研發人員的不效率，這些部份不但對專案產出沒有顯著貢獻，還可能危害專案的成功。 / As a result of the progression of information technology, the speed of information sharing is getting higher and higher. On one hand it makes companies get the stimulation of innovation more easily than before, on the other it also makes the desire of customers becomes wider and wider. Thus, the life cycles of all products in the world then become shorter and shorter. In this environment, companies who want to survive or even get growth have to do their development and research activities more aggressively than before. Although the benefits of R&D is great, lots of companies still shrink back at the sight. That’s because of the high uncertainty of R&D and the needs of huge amount of time and money, and companies always get incredible harm once they fail. Therefore, many researchers have tried to clarify the relationship between R&D inputs and R&D performance. Due to the accessibility and objectivity of financial report, the past researches in this field always used the information from financial reports, and set their research objects as the whole companies. But many researchers have pointed out that there are not only financial inputs and outputs of R&D activities but also non-financial ones. In the global trend to 4th generation of R&D management, R&D organizations have changed their management way form total budgeting to project management. To eliminate these two gaps between theory and practice, in this research we use the questionnaire data of Leading Product Development Programs from Industrial Development Bureau Ministry of Economic Affairs to make our research stand on a project view point and get other non-financial inputs and outputs data that we can’t get from financial reports. Hope we can earn more practical results to help companies making their decisions of R&D activities. According to the two perspectives of R&D project performances, non-financial and financial, we separated this research into two subjects, the results showed that: 1. The effects of R&D project inputs on technical outputs: we found that the project dollar investment has significant effect on the number of patents and innovative techniques, and the education degree of the project’s R&D engineers only has significant effect on innovative techniques but on patents. On the other hand, R&D time of the project has no significant effect on both patents and innovative techniques. 2. The effects of R&D project inputs on financial performance, their time-lag effect and their continuity: we found that project dollar investment has significant effect on sales of the product that developed from the project since the first year it was sold, which means the time-lag doesn’t exist in this situation, and this effect can last for three years or even more. The education degree of the project’s R&D engineers has significant effect on sales of the product that developed from the project, from the first year it was sold. So, there is no time-lag, but this effect can only last two years. Besides, R&D time of the project has no significant effect on any year’s sales of the product that developed from the project. Finally, we have interviewed some practitioners discussing about our results that were not consistent with our hypotheses. According to their opinions, the reason why some projects spend longer R&D time is not just because those companies intend to pay more effort on those projects. It also includes the inefficiency of R&D engineer and the bottleneck of that project. These inefficiency and bottlenecks are not only non-value-added but also sometimes harmful to a R&D project. That’s why we found in this research that there is no significant relationship between R&D time of a project and its performances, neither financial performances nor non-financial ones.

No description available.

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

Esse trabalho tem como objetivo contribuir para a literatura empírica dos retornos do P&D no Brasil, em particular, dos incentivos fiscais da Lei do Bem (Lei no 11.196/2005) sobre a sobre a produtividade total dos fatores (PTF) das firmas beneficiárias. Para isso, desenvolvemos nosso trabalho em torno de dois objetivos específicos: o primeiro é verificar o impacto do incentivo fiscal sobre os esforços em P&D das firmas beneficiárias por meio do teste de adicionalidade. O segundo é estimar a elasticidade da PTF com relação ao P&D e o impacto do tratamento da Lei do Bem sobre essa elasticidade. Por fim, analisamos o impacto indireto da Lei do Bem sobre a PTF que ocorre por meio do aumento dos dispêndios em P&D. Essa avaliação foi conduzida a partir de estimações de modelos econométricos com microdados de firmas industriais brasileiras para o período de 2003 a 2013, aplicando o procedimento de Propensity Score Matching (PSM) associado a estimações de Efeitos Fixos e de Blundell e Bond (1998). Entre os resultados encontrados, verificamos que apenas as estimações para o período de 2006 a 2009 ultrapassaram o limite superior da renúncia fiscal, o que significa que uma parte do aumento verificado para o período de 2010 a 2013 deva ter ocorrido como substituição do gasto público, evidenciando, pelo menos parcialmente, o efeito de crowding out. Os resultados da segunda etapa do trabalho sugerem que a lei tem efeitos indiretos positivos sobre a produtividade das firmas, mas, apesar disso, a elasticidade da PTF se encontra abaixo da mediana dos estudos internacionais / The objective of this dissertation is to contribute to the empirical literature on returns to R&D in Brazil, in particular, the tax incentives of Lei do Bem (Lei no 11.196/2005) on the total factor productivity (TFP) of the beneficiary firms. In order to do this, we have organized this study around two specific objectives: the first is to verify the impact of the tax incentive on the R&D efforts of the beneficiary firms through the additionality test. The second is to estimate the elasticity of TFP with respect to R&D and the impact of the treatment of the Lei do Bem on this elasticity. Finally, we analyze the indirect impact of the Lei do Bem on TFP that occurs through the increase in expenditures in R&D. This evaluation was carried out based on estimations of econometric models with microdata from Brazilian industrial firms for the period 2003 to 2013, applying the procedure of Propensity Score Matching (PSM) associated with estimates of Fixed Effects, and Blundell and Bond (1998). Among the results, we found that only the estimates for the period from 2006 to 2009 exceeded the upper limit of the tax waiver, which means that part of the increase observed for the period from 2010 to 2013 must have occurred as a substitution of public expenditure, evidencing, at least partially, the crowding-out effect. The results of the second stage of the study suggest that the law has positive indirect effects on firm productivity, but nonetheless, the elasticity of TFP is below the median of international studies.

Made available in DSpace on 2016-08-10T10:35:05Z (GMT). No. of bitstreams: 1 Marcos Costa de Freitas.pdf: 8221583 bytes, checksum: 60d9c9d69c0b9d1e97ec4dc7be7e4b69 (MD5) Previous issue date: 2010-02-18 / This research investigates the Brazilian graphic design through a historical perspective of an ever building discipline concept, in view of knowledges and abilities integrated and pointed from its imaginary limits. In essential terms, it is summarized as an effort to revisit the recent past of the Brazilian graphic design in a search to better understand the configuration of its noises. The P&D Design Congress is taken as an access door to the research input need that works automatically as a temporal and geographic clipping. However, the research still inspects the historical landmarks of the discipline (from a distant past) to produce the temporal counterpoint of the debate. / Esta pesquisa investiga o design gráfico brasileiro através da perspectiva histórica da disciplina, tendo em vista os conhecimentos e as competências sinalizadoras dos limites imaginários de seu campo. Em termos essenciais, resume-se a um esforço para revistar o passado recente do design gráfico brasileiro em busca de compreender melhor a configuração de sua episteme. O congresso P&D Design é adotado como uma porta de acesso aos registros históricos necessários à pesquisa e, ao mesmo tempo, fornece também recorte geográfico e temporal desta dissertação. Todavia, a pesquisa revista os marcos históricos da disciplina, para produzir o contraponto temporal do debate.