Innovation in the U.S. Service Sector

This paper contributes to ard a better understanding of innovation in the service sector by focusing on the disparate nature of R&D in the U.S. service sector as learned through case studies of the U.S. telecommunications, financial services, systems integration services, and research and development testing services industries. Based on this understanding of the nature and scope of R&D therein, a new policy-oriented model of innovation specific to the service sector is posited. Also, policy recommendations are offered with regard to the public sector’s collection and interpretation of R&D data related to the service sector.      

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.     

Innovation capacity and economic development: China and India

Decomposing the GDP growth from 1981 to 2004, this paper finds that innovation capacity has contributed significantly to the economic growth of China and India, especially in the 1990 s. Outputs of the national innovation system, measured by patents and high-tech/service exports, demonstrate the considerable progress China and India have made in innovation capacity. The enhanced innovation capacity of China and India is primarily due to their heavy investment in the inputs of innovation system, i.e., R&D expenditure and R&D personnel, in recent decades. This paper emphasizes the role that the governments have played in promoting innovation capacity and their contribution to economic development. Both governments have transformed their national innovation systems through linking the science sector with the business sector, providing incentives for innovation activities, and balancing import of technology and indigenous R&D effort. Using case studies of domestic biotech firms in China and India, this paper also offers micro-level insights on innovation capacity and economic development: (1) innovation capacity has become essential for domestic firms?? market success and (2) global institutional factors and national government policies on innovation have considerable influence on the choice of innovation at the firm level, i.e., to conduct indigenous R&D or to import foreign technology.     

Firm innovation in policy-driven parks and spontaneous clusters: the smaller firm the better?

Mixed evidence has been found regarding how locating in a cluster or a park affects firms?? performance. This paper investigates how locating in different types of clusters and parks interacted by firm size or in-house R&D capability affects a firm??s innovation. Empirically testing the research hypotheses by the data of 165 Taiwan??s manufacturing firms in the information and communication technology sector and taking policy-driven parks (e.g., science parks and industrial parks) and spontaneously clusters as examples, we find that in emerging economies, firms with inferior in-house R&D capability gain more innovation benefits by locating in a science park or a spontaneous cluster while smaller firms gain more innovation benefits by locating in an industry park or a spontaneous cluster. Moreover, our findings also suggest that locating in a science park, smaller firms benefit more than larger firms in terms of innovation performance whereas larger firms benefit more than smaller firms in terms of market performance. The findings suggest that in emerging economies, compared to larger firms, smaller firms are less influenced by negative spillover effect when locating in clusters or parks.     

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.     

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.     

Effects of university characteristics on scientists’ interactions with the private sector: an exploratory assessment

This paper estimates the effect of select university characteristics on the propensity of individual scientists to interact with private sector companies. The academic prestige of an institution has a direct negative effect on scientists’ interactions with the private sector, while the level of industrial R&D expenditures has a direct positive effect on such interactions. Institutional characteristics also moderate the effect of some individual-level variables such as tenure status, grant activity, involvement with students and disciplinary effects.      

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.     

Venture capital as a catalyst for commercialization and high growth

We use Canadian data linking information on venture capital (VC) financing with firm-level administrative data to compare performance of VC-backed and non-VC-backed firms. The richness of the data allows us to incorporate a wide range of firm-level information into creating a control group based on propensity-score matching. In particular, we use typical covariates reflecting firm performance and characteristics (e.g., size, age, industry, location) as well as measures of firm-level innovation such as research and development (R&D) expenditures that are often thought to be associated with the potential for high growth and the probability of receiving VC financing. Our results show R&D expenditures not only attract VC, but are also increased more intensely for VC-backed firms than non-VC-backed counterparts over the short-run. Further, we show VC-backed firms enjoy greater growth in wages and scale over the 5-year period. Overall, our results provide empirical evidence that VC financing is associated with the acceleration of the innovation and commercialization process accompanied by greater growth in wages and scale.     

The role of firm and national level factors in fostering R&D cooperation: a cross country comparison

This paper explores the factors that affect firms’ propensity to engage in R&D cooperation using a CIS-3 sample of innovative firms located in seven European countries. It performs the analysis separately for the manufacturing and the service sectors in order to examine whether there are specific features that shape the service firms’ R&D cooperative behaviour in particular ways. Differences between the manufacturing and the service sectors in the cooperative behaviour of firms become much more evident once an appropriate structure of endogeneity is determined. We compare different countries because, so far, the empirical evidence produced comes from single countries or countries that are all quite homogeneous in terms of industrial structure. Instead, we consider also countries, such as transition economies, that have not been analyzed so far. We find that public subsidies positively affect firms’ propensity to engage in R&D cooperation in all countries, but they seem particularly important to enhance firms’ cooperativeness in the service sector. Implications for innovation policy are examined.     

Public research and the innovation performance of new technology based firms

Assessing the role of publicly funded scientific research in entrepreneurial ecosystems is of great interest for science and entrepreneurship policy. Knowledge from academic research flows into the private sector through publications, patents, and researcher mobility as well as through direct interactions between founders and researchers at public research institutions (PRIs). New technology-based firms (NTBFs) are generally praised for high innovativeness despite their resource constraints and liability of newness. This study therefore investigates the impact of direct interactions with PRIs on NTBFs’ innovation success. In a large sample of NTBFs in Germany, we find that those firms engaging in such knowledge interactions are more likely to introduce new products and services to the market. The strength of this association, however, depends on interaction persistency, internal R&D and the founders’ academic backgrounds. Non-academic start-ups benefit more from continuous informal interactions if they pursue own R&D, which suggests that absorptive capacity matters. In academic start-ups, higher intensities of both formal and informal interactions are associated with greater innovation likelihood. Moreover, continuous informal interactions complement formal ones in the absence of own R&D activity.

     

Industry-University Cooperative Research Centers

This paper takes a first look at the effect of Industry-University Cooperative Research Centers (IUCRCs) on industrial R&D laboratories. IUCRCs are small academic centers designed to foster technology transfer between universities and firms. Since IUCRCs depend on industry support we expect them to further the research of member companies. Our findings suggest that IUCRCs promote industry-university technology transfer. We find strong associations between laboratory membership in IUCRCs and the importance of faculty consultants, co-authorship with faculty and hiring of graduate students to the laboratories. IUCRC membership contributes small increments, not always statistically significant, of 2% in laboratory patenting and research expenditures. Both estimates are larger for National Science Foundation IUCRCs, consistent with their quality and their sorting to larger laboratories. These results survive a simultaneous equation analysis of the joint decision to patent and join IUCRCs. Nevertheless more work is needed to separate the effect of the IUCRCs from the matching mechanism that assigns IUCRCs to R&D laboratories.     

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.     

R&D Venture: proposition of a technology transfer concept for breakthrough technologies with R&D cooperation: A case study in the energy sector

At times when the market demands strong active innovation, large industrial corporations with established R&D organizations benefit from screening and developing breakthrough innovation. The ability of established organizations to absorb for future technologies is a key to successfully recognize, explore and capture breakthrough innovations. R&D Venturing is a practical way of bringing about technology transfer and exploration of future technologies through R&D cooperation, which is described in this paper by a multiple case study in the energy sector. Existing literature has been reviewed and an R&D Venturing concept will be suggested with a number of propositions for implementation. The results of the case study strongly support that different perspectives of the concept from industry, academia and the ventures themselves have to be carefully understood. Based on the results of the case study, a conceptual framework and propositions for a successful implementation have been derived. A critical discussion of the R&D Venturing concept shows the need for further empirical investigation.     

Research collaboration in the European community: Lessons for the US

Research collaboration between government, universities, and industry, as well as among member nations, has been a prominent strategy in the European Community's science and technology policy through the 1980s and into the 1990s. In the perspective of the Single European Act and 1992 Plan, this paper outlines the lessons from European research collaboration for the United States. The structure of the European Community's cooperative R&D programs are reviewed and support for the development of advanced materials is highlighted. In the context of the benefits from the European Community's programs, five policy implications can be discerned for the US: establishment of forums for industry and government to dialogue about research priorities, institution of programs to promote strategic industrial R&D through cost-sharing, encouragement of small and medium-size firms to cooperate in R&D in high-technology sectors, monitoring of European research and development programs, and development of reciprocity policies for foreign-company membership in national collaborative R&D programs. Mary T. Tyszkiewicz is senior research associate in the Technology and Information Policy Program at Syracuse University. She has an MS in inorganic chemistry from Iowa State University and MSc. in Science, Technology, and Industrialization from the Science Policy Research Unit at University of Sussex in Brighton, England.     

The science commons in health research: structure,function, and value

The “science commons,” knowledge that is widely accessible at low or no cost, is a uniquely important input to scientific advance and cumulative technological innovation. It is primarily, although not exclusively, funded by government and nonprofit sources. Much of it is produced at academic research centers, although some academic science is proprietary and some privately funded R&D enters the science commons. Science in general aspires to Mertonian norms of openness, universality, objectivity, and critical inquiry. The science commons diverges from proprietary science primarily in being open and being very broadly available. These features make the science commons particularly valuable for advancing knowledge, for training innovators who will ultimately work in both public and private sectors, and in providing a common stock of knowledge upon which all players—both public and private—can draw readily. Open science plays two important roles that proprietary R&D cannot: it enables practical benefits even in the absence of profitable markets for goods and services, and its lays a shared foundation for subsequent private R&D. The history of genomics in the period 1992–2004, covering two periods when genomic startup firms attracted significant private R&D investment, illustrates these features of how a science commons contributes value. Commercial interest in genomics was intense during this period. Fierce competition between private sector and public sector genomics programs was highly visible. Seemingly anomalous behavior, such as private firms funding “open science,” can be explained by unusual business dynamics between established firms wanting to preserve a robust science commons to prevent startup firms from limiting established firms’ freedom to operate. Deliberate policies to create and protect a large science commons were pursued by nonprofit and government funders of genomics research, such as the Wellcome Trust and National Institutes of Health. These policies were crucial to keeping genomic data and research tools widely available at low cost.

R&;D productivity and the organization of cluster policy: an empirical evaluation of the Industrial Cluster Project in Japan

Industrial clusters have attracted increasing attention as important locations of innovation. Therefore, several countries have started promotion policies for industrial clusters. However, there are few empirical studies on cluster policies. This paper examines the effects of the “Industrial Cluster Project” (ICP) in Japan on the R&D productivity of participants, using a unique dataset of 229 small firms, and discusses the conditions necessary for the effective organization of cluster policies. Different from former policy approaches, the ICP aims at building collaborative networks between universities and industries and supports the autonomous development of existing regional industries without direct intervention in the clustering process. Thus far, the ICP is similar to indirect support systems adopted by successful European clusters. Our estimation results suggest that participation in the cluster project alone does not affect R&D productivity. Moreover, research collaboration with a partner in the same cluster region decreases R&D productivity both in terms of the quantity and quality of patents. Therefore, in order to improve the R&D efficiency of local firms, it is also important to construct wide-range collaborative networks within and beyond the clusters, although most clusters focus on the network at a narrowly defined local level. However, cluster participants apply for more patents than others without reducing patent quality when they collaborate with national universities in the same cluster region.     

University and inter-firm R&D collaborations: propensity and intensity of cooperation in Europe

This paper investigates the determinants of firms’ decision to cooperate in R&D with universities and the intensity of the cooperation effort, in relation to the engagement in inter-firm R&D collaborations. Using novel survey data for seven EU countries between 2007 and 2009, our analysis accounts for unobservable factors influencing R&D cooperation forms and addresses the main endogeneity issues. We find that internal knowledge, appropriability conditions and incoming spillovers explain a large variation of the probability and of the intensity of R&D collaborations of European firms with universities (and comparably with unaffiliated companies).     

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.     

Policy Issues for R&D Investment in a Knowledge-Based Economy

The Internet Revolution induced an unbalanced perspective on future economic growth strategies. Because information technology (IT) largely constitutes an infrastructure upon which other economic activity is based, its economic role is to facilitate the productivity of investment in a wide range of products and services that meet final demand. Other economies around the world can and are investing in the same infrastructure, so the efficiency advantages now being realized by the U.S. economy will be fleeting unless U.S. R&D efforts produce a new and broad range of innovative products and services that take advantage of this infrastructure. A deep and diverse technology-based manufacturing sector must be a core objective of a national R&D strategy. United States manufacturing contributes $1.5 trillion to GDP, employs 20 million workers, accounts for more than 70% of industrial R&D, and constitutes the main source of technology for the larger service sector. While knowledge-based services are the largest source of economic growth for the U.S. economy, their long-term performance is highly dependent on synergies with a domestic manufacturing sector. These synergies will be even more important in the future because services are increasingly exposed to foreign competition. Knowledge-based services can be supplied from anywhere in the world—as long as these foreign sources can rapidly access and assimilate the necessary technology components. This caveat is the critical point for economic growth policy. Considerable research supports the argument that hardware and software components are most efficiently supplied to services by a manufacturing sector that is geographically close and institutionally integrated with the service applications. Policy debates have raged for decades over the nature and magnitude of underinvestment in manufacturing R&D. The need to resolve the relevant policy issues has increased, as industry is funding less of the long-term, high-risk research that creates the technology platforms supporting new industries and future economic growth. Unfortunately, only about a third of U.S. manufacturing is high-tech by conventional definitions. Some of the remaining industries develop technologies internally, but most purchase a large proportion of their technology from the high-tech sector. Because a technology acquisition strategy can be more easily imitated by foreign competitors, traditional industries are much more susceptible to exchange rate variations, global economic cycles, and secular shifts in foreign competition. Thus, with global technological capabilities relentlessly increasing, the long-term prospects for the moderate and low R&D-intensive portions of U.S. manufacturing are not good. This paper presents a conceptual framework and available data as inputs for the analysis of Federal R&D investment strategies. Such strategies must recognize the full range of public and private technology assets constituting a national innovation system. A developed and efficient innovation system has characteristics making imitation by foreign competitors difficult and thereby enables sustained competitive advantage.