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.      

Innovation-related data in bureau of economic analysis international economic surveys

This paper describes innovation-related data available from international economic surveys conducted by the U.S. Bureau of Economic Analysis. These data are collected in conjunction with the international transactions accounts of the United States and in surveys of the operations of multinational companies (MNCs). The paper focuses on five innovation-related series: receipts and payments of royalties and license fees; exports and imports of research, development, and testing services; sales of services by foreign affiliates classified in the research and development services industry; MNC R&D spending; and MNC R&D employment.

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.     

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.     

Location choices within global innovation networks: the case of Europe

Rapid growth in internationalization of corporate R&D has spurred considerable interest since the 1990s. Foreign R&D is still mainly driven by the expansion of international production, but technology sourcing has become an increasingly important driver of dispersion. Actually, differences across sectors and companies tend to obscure the mix of motivations behind the development of global innovation networks. This paper distinguishes the various drivers of the international dispersion of corporate R&D in order to elaborate a typology of foreign R&D units, including in emerging countries. This typology is used to discuss the emergence of differentiated global innovation networks and the location choices by type of R&D unit. It is applied to foreign R&D projects in Europe in high and low cost countries between 2002 and 2005. It is then used to discuss the weakening attractiveness of the European Union for R&D activities and the relevant policies that countries can design to attract different types of units.

Measurement of R&;D Multipliers: The Case of Greece

The present paper applies empirically the methodology of backward and forward R & D multipliers for the case of Greece, which, despite its high growth rates in output (G.D.P.), ranks last among European Union (E.U) countries in R&D expenditure. The backward R&D multipliers measure the total amount of R&D expenditure embodied in one unit of an industrys final demand. On the other hand, forward multipliers reflect the percentage of an industrys R&D expenditures that is embodied in the final output categories. The results show that the Greek economy experiences a decrease in backward R&D multipliers over the time period 1993–1997, and some policy implications are discussed, regarding the countrys priority to increase R&D diffusion and stimulate R&D financing.     

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.     

Transfers of Technology: A Basic Primer On Tax Considerations

The objective of this paper is to introduce managers of R&D operations to tax issues that must be considered when technology is transferred across international boundaries within the same company. The tax implications are often misunderstood or even overlooked in the technology transfer process. The paper explains how countries seek to tax their fair share of the income earned inside their borders. Since the amount of income earned depends on the price for technology paid by one part of a company to another, this transfer price is of keen interest to the tax authorities. To preserve their tax bases, therefore, countries establish rules to regulate the international transfer of goods and services, including technology, between related parties. This paper provides an overview of the economic principles underlying these rules, and illustrates their application with a series of examples.     

Adapting to the foreign technological challenge

United States technology is increasingly viewed as providing the backbone and where-withal to arrest the nation's economic slide and to restore the accustomed U.S. leadership position in international trade. This view stems from demonstrated U.S. preeminence in technology, the importance of technology in economic growth, and the ascendance of technology in foreign affairs and international trade today. But, undue preoccupation with the domestic technology base represents at best a suboptimum strategy in the face of a continuing decline in the national investment in R&D. In view of the incipient shifting of the world technological balance overseas, comparable attention needs to be focused on foreign technological developments, and their potential for import and adaptation to help fuel technological innovation at home. A more balanced mix of foreign and domestic technological ingredients in the U.S. socioeconomic cauldron promises to be more attuned to the reality of scarce domestic resources and the changing world environment.     

Insights on Technology Transfer from the Bureau of Mines

The U.S. Bureau of Mines was established in 1910 to reduce the high accident rate in the nation's coal mines. For 85 years, it conducted a wide variety of tasks related to mining before it was abolished in 1995. The BOM had many technology transfer successes in its lifetime, including more than a dozen R&D100 awards. This essay identifies and discusses five transfer factors that can explain the success (or failure) of many Bureau of Mines projects. These five factors are termed pressure, pitfalls, path, price, and profit.     

The effects of industry characteristics on the sources of technological product and process innovation

In order to explore the effects of industry characteristics on the sources of technological product and process (TPP) innovation, this paper considers various sources in a united framework, and identifies their cross-industry similarities and differences. It sheds light on three Chinese high technology industries, and empirically confirms that in-house R&D, technology transfer, technology spillover and back-propagation of user innovations are all effective sources of TPP innovation. However, each source creates different productivity in different industries, which may be explained by the following industry characteristics: the dependence on foreign technology, the importance attached to inventive in-house R&D, the level of domestic technology, the relative proportions of foreign and domestic users.     

Contributions of Academic Research to Industrial Performance in Five Industry Sectors

Results are presented of a National Academy of Engineering consensus study that documents the contributions of academic research to the growth and competitiveness of five industries – aerospace; financial services; medical devices; network systems and communications; and transportation, distribution, and logistics services. Academic research has made substantial contributions in varying degrees to all five industries. These have ranged from graduates trained in modern research techniques, to fundamental concepts and “key ideas” out of basic and applied research, to the development of tools, prototypes, and marketable products, processes, and services. In network systems, there is a history of university involvement in serving as test beds for new networking concepts and in spawning firms. The academic medical center provides a distinctive environment for testing and incremental improvement of medical devices and for conducting essential clinical trials. In financial services, academic economics and mathematics research contributions have been important, in spite of the lack of a well-developed R&D infrastructure for the industry. Challenges and opportunities for enhancing academic research contributions are presented in the areas of regulatory research and innovation, service sector innovation, information technology, intellectual property rights, and the role and identity of the university.     

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.     

Government strategies to attract R&D-intensive FDI

Competition among countries to attract the research and development (R&D) activities of multinational enterprises has increased substantially during the last years, but the strategies used by governments in this competition still remain largely unexplored. This paper addresses that gap by proposing a taxonomy of the policy instruments available to stimulate inward R&D-intensive foreign direct investment (FDI) and presenting the results of a comparative case study of two EU countries: Spain and Ireland. The main conclusion is that an efficient promotion of R&D-intensive FDI calls for a closer connection between innovation policy and inward investment promotion, which are two policy areas that have traditionally operated rather separately. In addition, investment promotion agencies targeting R&D-intensive FDI are advised to reconfigure the scope of services they provide by placing more emphasis on after-care, since R&D-intensive FDI tends to be evolutionary rather than purely greenfield.

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.     

Patent analysis for promoting technology transfer in multi-technology industries: the Korean aerospace industry case

With the increasing importance of technology, the efficiency of R&D investment is becoming a critical factor to an organisation’s success. As a result, many studies have carried out to create useful information to support various decision-makings faced during R&D planning but few efforts were made to discuss technology transferability in creating the information. Technology transferability can be an important factor to increase the efficiency of R&D investment especially in a multi-technology industry, where a compound of several industries produces a variety of components and systems. Therefore, this study purposes to develop a systematic method to analyse the transferability of technology, aiming to facilitate R&D spill-over. For the purpose of analysis, patent data from USPTO (United States Patent and Trademark Office) was adopted and patent citation analysis applied, which shows the relationship between technologies and industries as quantitative measures. The research result then was applied to Korean aerospace industry and its utility verified. The suggested method is expected to be used in understanding technology characteristics and making the most use of R&D outputs by promoting technology transfer in multi-technology industries.     

Underinvestment in Public Good Technologies

Although underinvestment phenomena are the rationale for government subsidization of research and development (R&D), the concept is poorly defined and its impact is seldom quantified. Conceptually, underinvestment in industrial R&D can take the form of either a wrong amount or a suboptimal composition of R&D investment. In both cases, R&D policy has not adequately modeled the relevant economic phenomena and thus is unable to characterize, explain, and measure the underinvestment. Four factors can cause systematic underinvestment in R&D-intensive industries: complexity, timing, existence of economies of scale and scope, and spillovers. The impacts of these factors vary in intensity over the typical technology life cycle, so government policy responses must be managed dynamically. In addition to understanding the causes of underinvestment in R&D, the magnitude of the deficiency relative to some “optimum” must be estimated to enable a ranking of technology areas with respect to expected net economic benefits from a government subsidy. Project selection criteria must therefore be based on quantitative and qualitative indicators that represent the nature and the magnitude of identified market failures. The major requirement for management of R&D policy therefore is a methodology that regularly assesses long-term expected benefits and risks from current and proposed R&D portfolios. To this end, a three-stage process is proposed to effectively carry out R&D policy analysis. The three stages are (1) identify and explain the causes of the underinvestment, (2) characterize and assess the investment trends and their impacts, and (3) estimate the magnitude of the underinvestment relative to a perceived optimum in terms of its cost to the economy. Only after all three stages of analysis have been completed can the underinvestment pattern be matched with the appropriate policy response.     

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.     

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.