The effect of competitive and non-competitive R&;D collaboration on firm innovation

A firm can improve its innovation either by its internal research and development (R&D) efforts or by forming external collaborative R&D alliances. While previous studies on R&D collaboration and knowledge diffusion mainly focus on various external sources of R&D collaboration, little effort has been made to investigate the joint impact of competitive and non-competitive R&D collaborations on firm innovation simultaneously. By examining the data of 165 Taiwanese firms in the information and communication technology industry, we find that: (1) non-competitive R&D collaborations with universities have a positive direct impact on firm’s innovation performance; and (2) both non-competitive and competitive R&D collaborations have a positively moderating effect on the relationship between a firm’s internal R&D efforts and firm innovation and the positive moderating effect is higher for non-competitive R&D collaborations than that of competitive R&D collaborations. These findings suggest that R&D collaborations, either non-competitive or competitive, exhibit the nature of a win–win situation. We also derive implications for firms’ selection of R&D alliance partners and government policies.     

A bit of basic,a bit of applied? R&D strategies and firm performance

The Journal of Technology Transfer - Most studies analysing the relationship between R&D and firm growth focus on total R&D investment. This paper aims to analyse separately each...     

Industrial R&D Laboratories: Windows on Black Boxes?

This paper provides an overview of the survey-based literature on industrial Research and Development (R&D) laboratories, beginning with the work of Edwin Mansfield. Topics covered include R&D projects, new products, and new processes; the appropriability of intellectual property; the limits of the firm in R&D; and spillovers of knowledge from other firms and universities into the laboratories. I discuss the value of collecting information from industrial R&D managers, who participate in a wide range of R&D decisions and are the natural best source of information on these decisions. I also emphasize gaps in our knowledge concerning R&D from past studies, such as the private and social returns to R&D, the nature of firms' R&D portfolios, and other topics. The paper closes with a discussion of the benefits from building a national database on R&D laboratories that could be shared among researchers and that could take this area of research to a new and higher level of achievement.     

Scalability versus flexibility: firm size and R&;D in Indian industry

This article has examined the impact of firm size on R&D spending for a panel of several thousand Indian firms, for a period of seven years from 1999–2000 to 2005–2006. The average levels of R&D spending are low but for firms that do undertake R&D the average levels of R&D spending are much higher. The results of the analysis for all the manufacturing sector firms have shown that larger firm size is associated with a higher probability of R&D spending. In non-linear estimation the squared term is negative denoting that after a particular threshold firm size has no effect on R&D spending. When only the R&D spending firms are evaluated then size has a mild impact on R&D spending and in a non-linear framework the effect of size disappears signifying that both the relatively smaller and larger firm alike seem to be motivated in building capabilities in the post-liberalization period of the Indian economy.     

What the design of an R&;D tax incentive tells about its effectiveness: a simulation of R&;D tax incentives in the European Union

Most industrialized countries apply special tax incentives to boost the R&D expenditures of firms. This study considers the design of such R&D tax incentives as applied in the European Union and simulates its effect on the post-tax R&D expenditures of firms in different industries and different profit/loss-situations by means of the simulation model European Tax Analyzer. Any restrictions and progressive tax incentives are explicitly taken into account. Our results indicate that for designing and measuring public support to R&D it is often not sufficient to focus only on tax rate effects of R&D tax incentives and the design of a tax incentive must be in accordance with the framing tax system in order to be effective. As soon as there are any limitations in place, our results suggest a considerably lower impact of R&D tax incentives on the post-tax R&D expenditures than the commonly used B-Index by the OECD. The results clearly illustrate the beneficial impact of immediate cash refunds for unused tax incentives.     

Measurement and Growth of R&D Within the Service Economy

Twenty-five years ago, industrial performance of research and development (R&D) was primarily an activity undertaken by large traditional manufacturing firms. Only about 3 percent of the R&D conducted in industrial labs was done by service sector firms. By the late 1990s, however, such firms accounted for approximately 30 percent of the Nation's total industrial R&D expenditures, with a fairly large amount of the effort being directed toward the development and use of information technologies. Industry's increasing reliance on research and technology outsourcing also apparently has contributed to the service sector's substantial R&D expansion. This paper documents recent trends in US non-manufacturing R&D expenditures, highlighting their growth and focus and the difficulties in measuring these trends, as available from national R&D statistics. Broad comparisons with trends and concerns identified through other countries' surveys of service sector R&D are presented.     

Assessing the relationship between R&D subsidy,R&D cooperation and absorptive capacity: an investigation on the manufacturing Spanish case

Private companies want to eliminate outgoing spillovers while policymakers seek to maximize them. With subsidized R&D cooperation agreements both agents partially achieve their objectives. For this reason, in Europe, policymakers grant subsidies for R&D activities with the condition of establishing R&D cooperation agreements. This study explores the relationship of complementarity between R&D subsidy, R&D cooperation and absorptive capacity in the context of its contribution to labor productivity of enterprises. The data used comes from the Technological Innovation Panel (PITEC), managed by the Spanish National Statistics Institute. We selected manufacturing companies in the period 2008–2013. We evaluate the existence of complementarity through the systems approach and the interaction approach. The econometric technique that we used to estimate the coefficients of our empirical model was maximum-likelihood random effects. As a consequence of the low absorptive capacity of Spanish manufacturing firms we find that R&D subsidies and R&D cooperation agreements are not complementary variables, i.e., receiving public subsidies as a result of establishing R&D cooperation agreements has a lower impact on productivity than the sum of the individual impacts of R&D cooperation and R&D subsidies. In consequence, this result calls into question the convenience of using subsidized R&D cooperation agreements as a tool for promoting innovation in EU countries as there are notable differences between the companies in these countries in terms of absorption capacity.     

Factors influencing technology transfer: The case of China

Transferring and utilizing technology in developing economies is a vital issue for economic growth. Often the separation between R&D institutes and industrial concerns limits the transfer of technology. The People's Republic of China, which has conducted R&D in institutes separate from the potential user firms, has recently moved to facilitate domestic technology transfer from R&D institutes to R&D consumers. This study, based on the statistical analysis of 60 R&D institutes in the machinery sector in China, found that, while R&D intensity improves transfer of technology, funding and employee mobility hinders transfer. His special area is in science and technology policy. He had worked for the State Science and Technology Commission of China for six years before he came to the US.     

Evaluating liaison and diversion schemes: an analysis of health,criminal and economic data

Introduction: Liaison and Diversion (L&D) currently serves 50% of the population of England. L&D relies on modified working practices with key delivery partners, especially the police. Service evaluation data is thus presented from both police and health services. Method: A before and after intervention review of 3 months of operational data of L&D in Cornwall focusing on health, criminal and economic outcomes. Results: After L&D intervention individuals’ contact with the police as either victim or perpetrator reduced significantly. Implications: Preliminary findings suggest that L&D enabled reduced use of police and criminal justice resources. National reporting procedures may be unable to demonstrate the multi-agency impact if criminal justice data are not considered within the outcome data-set. Recommendations echo international observations that specifying outcome measures and the consistent definition of L&D services would enable generalisation of findings.     

Cross-border Mergers and Acquisitions in different legal environments

The aim of this paper is to analyze the influence of the legal and institutional environment on bidder firm returns around the announcement date of cross-border Mergers and Acquisitions (M&As). The database includes 469 M&As of European (221 cross-border and 248 domestic) listed firms, with target firms being worldwide public or private firms (40 countries), over the 2002–2006 period.Shareholders of acquiring firms place greater value on cross-border M&A announcements than on domestic ones. The stronger (weaker) the legal and institutional environment of the acquirer firm country in comparison with that of the target firm country, the more positive (negative) the effect on acquiring-firm shareholders’ valuation of M&As.     

Modeling the Triple Helix from a Small Country Perspective: The Case of Finland

In recent discussions on the science and technology system particularly two perspectives have been visible, one emphasizing the transitory changes in the modes of knowledge production, the other focusing on the institutional integration of the S&T system (Triple Helix). The article analyzes the development of the Finnish S&T system and policy as a national case from the point of view of the Triple Helix thesis. It concludes that both perspectives—systemic transition and integration—are essential for understanding recent changes in S&T, but do not yet cover the whole range of relevant issues. In addition, one should take into account the spatial, or international, dimension of S&T, which is crucial especially when viewed from a small country perspective. Furthermore, it is important to consider the cognitive dimension of S&T, as the socio-cognitive diversity of research fields affects their specific role in the transformation processes.     

Nanotechnology and the US national innovation system: continuity and change

A substantial literature on nanotechnology innovation and commercial development has characterized several elements of these phenomena as constituting new developments in the US national innovation system. Among these elements are the (asserted) “post-academic” nature of US universities’ involvement with nanotechnology R&D, and federal funding of nanotechnology R&D on goals related to economic competitiveness. This paper challenges the “novelty” of these elements, while suggesting that other elements of nanotechnology R&D, including the extensive patenting of the results of nanotechnology-related research and the emphasis within many university-industry collaborations on patent-based channels for “technology transfer,” may indeed be new and raise questions for the long-term efficiency and innovative performance of nanotechnology-related R&D.     

(In)-Equality in the Allocation of R&D Resources for Rare Diseases

This paper analyses the allocation of R&D investments within rare diseases and identifies the characteristics of rare diseases that appear to lead R&D resources. Rare diseases affect less than 1 in 2000 citizens. With over 7000 recognised rare diseases and 350 million people affected worldwide, rare diseases are not so rare when considered collectively. Rare diseases are generally underserved by drug development because pharmaceutical industries consider R&D investments in rare diseases too costly and risky in comparison with the low expected returns due to the small population involved. We use data on rare diseases research from Orphanet along with academic publications per rare disease from bibliographic databases. We test the existence of inequalities in R&D investments within rare diseases and identify the disease characteristics that appear to lead R&D investments using dominance tools and bilateral tests. We show that rare diseases in children and with a smaller prevalence, such as ultra-rare diseases, are underserved by R&D. R&D investments appear to be concentrated in more profitable research areas with potentially larger sample size and adult population.

     

The R&D performance of the South African manufacturing sector, 1970–1993

In this article we undertake a detailed exploration of the research and development activities in one particular middle-income country. We explore what the data from R&D surveys can tell us about the levels, the determinants and the effectiveness of R&D in the manufacturing sector. We point to some of the broader factors that may have influenced South Africa’s drive to improve the technological capacity of its manufacturing sector, but we mostly focus on those issues associated directly with R&D. We show that the degree of interaction between the different domains of R&D activity, business, government and the tertiary sector has been weak, and that the possibility of positive spill-overs between these domains has not been fully exploited. In addition, little or no policy intervention designed to stimulate R&D activity by industry has been deployed in South Africa. We find that South African R&D activity has mainly been reactive in character and suggest that this lies at the heart of South Africa’s mixed R&D performance in relation to other developing countries.     

Do R&D strategies in high-tech sectors differ from those in low-tech sectors? An alternative approach to testing the pooling assumption

Most studies investigating the determinants of R&D investment consider pooled estimates. However, if the parameters are heterogeneous, pooled coefficients may not provide reliable estimates of individual industry effects. Hence pooled parameters may conceal valuable information that may help target government tools more efficiently across heterogeneous industries. There is little evidence to date on the decomposition of the determinants of R&D investment by industry. Moreover, the existing work does not distinguish between those R&D determinants for which pooling may be valid and those for which it is not. In this paper, we test the pooling assumption for a panel of manufacturing industries and find that pooling is valid only for output fluctuations, adjustment costs and interest rates. Implementing the test results into our model, we find government funding is significant only for low-tech R&D. Foreign R&D and skilled labour matter only in high-tech sectors. These results suggest important implications for R&D policy.     

The structure and dynamics of the global network of inter-firm R&D partnerships 1989–2002

Research and development (R&D) partnerships are formed to share the risks and benefits of R&D. At the macro level, they result in a globe-spanning network that can be a valuable source of international knowledge spillovers. This network is the subject of a considerable body of literature. Often-made claims are that R&D collaboration is an important activity in a competitive environment, but that the importance of international partnerships has declined over time. Furthermore, it is claimed that collaborations are disproportionally concentrated within the developed economies. However, this literature fails to account for variations in the sizes of underlying firm populations between countries and over time. We argue that these population sizes create an opportunity structure of available collaboration partners for firms, and that ignoring variations in this structure potentially leads to erroneous conclusions about the structure and dynamics of the R&D network. To address this problem, we study the structure and dynamics of the global R&D network on an international and cross-industry scale using longitudinal data for 1989?C2002. We integrate data on public firms and their R&D partnerships and confront earlier findings with our data and a set of methods, which enables us to correct for the structure and dynamics in the firm population. While our study confirms previous findings concerning the worldwide trend in collaborative activity, it also shows that results on individual countries need correction. In particular, the importance of R&D collaboration for US companies is overestimated, while their openness towards foreign partners is underestimated.     

The impacts of executives’ political connections on interactions between firm’s mergers,acquisitions, and performance

Economic Change and Restructuring - This research examines the effects of executive political connections on corporate performance by comparing firms with mergers and acquisitions (M&As)...     

“We really don’t want to move,but...”: identity and strategy in the internationalisation of industrial R&;D

In Norway, as in many other high-cost OECD countries in a geographical and cultural periphery, policy-makers seem to have given up attempts at attracting large numbers of foreign R&D investments. Instead, a major focus of innovation policies is to help companies internationalise yet with an aim to maintain or even increase their level of R&D and other innovation activities nationally. Based on case studies of eight Norwegian companies and their motives for and experiences with internationalisation of R&D, this article questions this policy. From the perspective of the companies, many factors explain how, why and where they carry out their R&D activities.      

Testing for unemployment persistence in Nigeria

Economic Change and Restructuring - In this study, we examine the behaviour of unemployment in Nigeria using fractional integration & fractional cointegration techniques. Based on the...     

The influence of public programs on inter-firm R&D collaboration strategies: project-level evidence from EU FP5 and FP6

Inter-firms R&D collaborations are often seen as an effective mean to access new resources, to innovate and/or to enter new markets in a turbulent environment characterized by fierce competition. However, all R&D partnerships do not have the same strategic importance. We analyze the strategic features of two types of partnerships that are seldom compared in the academic literature on R&D alliances: EU-sponsored inter-firms collaborations on the one hand, and non-sponsored, spontaneous inter-firm collaborations on the other. We compare their incentives and coordination mechanisms, and derive theoretical propositions that we test empirically. Our econometric analysis uses original data on (sponsored and non-sponsored) projects conducted by participants in the 5th and 6th European R&D Framework Programs. Our empirical findings support our main propositions. EU-funded collaborations are more exploratory and more focused on peripheral competences than spontaneous R&D collaborations. They are also less flexible, due to rigid monitoring rules which are nevertheless crucial to the projects?? success. However, there is no major difference between the different types of EU-sponsored collaborations, which pleads for a simplification of these policy instruments.