Government grants,private R&D funding and innovation efficiency in transition economy

Although the development of the high-tech industry is part of the national agenda of many countries, particularly transition economies, few studies have analysed innovation efficiency in countries with environments unfavourable to high-tech industry development. This study explores the relationships of government grants, private R&D funding and innovation efficiencies of the high-tech industry in China. We use a stochastic frontier analysis model to study the roles of government and market mechanisms in high-tech industry innovation from 1995 to 2008. Findings show that government grants do not crowd out private funding, but stimulate private R&D expenditure. Private R&D funding has positively influenced innovation in the Chinese high-tech industry, and efficiency potentials are widely under-exploited. Additionally, government grants are observed to negatively impact innovation by large firms in the Chinese high-tech industry. Furthermore, we reveal that human capital can promote the innovation performance of high-tech firms, excepting those of medium scale. The findings provide insightful perspectives on China's high-tech industry.     

Will Italy meet the ambitious European target for R&D expenditure? Natura non facit saltus

The paper addresses the issue as to whether the Italian scientific and technological system can achieve the Barcelona targets set by the heads of state and government (3% of GDP devoted to R&D by the year 2010) and by the R&D guidelines set by the Italian Ministry for Education, University, and Research (MIUR) (to achieve the level of 1.75% of the ratio in the year 2006).The projections built in the paper show that such objectives are well beyond Italy's potential, and that according to a “natura non facit saltus” (NNFS) projection, the country will be able to raise the ratio from 1.04% in 2002 to 1.55% in 2010. Such projection rests on rather optimistic assumptions: higher priority attached to R&D in the government budget, an increasing propensity of firms to invest their value added in R&D, and an increase of researchers' salaries.The difficulty to achieve the objectives set at the European and national level is due to the low starting point, to the lack of additional investment from 2001 to 2003, and to structural factors such as insufficient supply of qualified human resources, the small size of high-tech industry, and constraints imposed by the reduction of public spending.The attainment of R&D policy objectives is more and more dependent on education, industrial, and public budget policies; the issue of a thorough review of the governance of the whole S&T system at the national level is therefore raised. The situation is accentuated by the fact that decisions taken at national level are conditioned by the European union (through the Framework Program, the regulations regarding state aid to firms, etc.) by multinational enterprises, which operate on a global scale, and by regions in the framework of their autonomy.     

The impact of public R&D expenditure on business R&D*

This paper attempts to quantify the aggregate net effect of government funding on business R&D in 17 OECD Member countries over the past two decades. Grants, procurement, tax incentives and direct performance of research (in public laboratories or universities) are the major policy tools in the field. The major results of the study are the following: Direct government funding of R&D performed by firms has a positive effect on business financed R&D (except if the funding is targeted towards defence activities). Tax incentives have an immediate and positive effect on business-financed R&D; Direct funding as well as tax incentives are more effective when they are stable over time: firms do not invest in additional R&D if they are uncertain of the durability of the government support; Direct government funding and R&D tax incentives are substitutes: increased intensity of one reduces the effect of the other on business R&D; The stimulating effect of government funding varies with respect to its generosity: it increases up to a certain threshold (about 10% of business R&D) and then decreases beyond; Defence research performed in public laboratories and universities crowds out private R&D; Civilian public research is neutral for business R&D. * We thank the participants to various seminars, including the OECD Committee for Scientific and Technology Policy and the NBER 2000 Summer Institute on Productivity for helpful comments and suggestions. All opinions expressed in this article are those of the authors and do not reflect necessarily the views of the OECD or Université Libre de Bruxelles.     

Control of SO2 emissions from power plants: A case of induced technological innovation in the U.S.

This paper investigates how the details of government actions induce innovation—the overlapping activities of invention, adoption and diffusion, and learning by doing—in “environmental technology,” products and processes that either control pollutant emissions or prevent emissions altogether. It applies multiple quantitative and qualitative measures of innovation to a case subject to several “technology-push” and “demand-pull” instruments: sulfur dioxide control technology for power plants. The study employs analyses of public R&D funding, patents, expert interviews, learning curves, conference proceedings, and experience curves. Results indicate that: regulation and the anticipation of regulation stimulate invention; technology-push instruments appear to be less effective at prompting invention than demand-pull instruments; and regulatory stringency focuses inventive activity along certain technology pathways. Increased diffusion of the technology results in significant and predictable operating cost reductions in existing systems, as well as notable efficiency improvements and capital cost reductions in new systems. Government plays an important role in fostering knowledge transfer via technical conferences, as well as affecting the pattern of collaborative relationships within the technical research community via regulatory changes that affect the market for the technology. Finally, the case provides little evidence for the claim that cap-and-trade instruments induce innovation more effectively than other instruments.     

Dismantling the ivory tower: The influence of networks on innovative output in emerging technologies

In this article we examine how R&D networking affects an organization's innovative output. Using empirical data on 419 research organizations in transgene plant research over a 20-year period, we test several hypotheses relating their sociometric position in an R&D network to their innovative output. Attention is paid to the relative importance of in-house versus collaborative research. Least squares dummy variable models are used to analyze cross-sectional data across different time periods. The results show that (1) an organization's “network embeddedness” positively influences its innovative output; whereas (2) involvement in collaborative R&D has a curvilinear effect on innovative performance.     

Are environmental concerns drivers of innovation? Interpreting Portuguese innovation data to foster environmental foresight

The relationship between environmental concerns and innovation is analyzed in the context of Portuguese manufacturing firms, with the ultimate goal to foster measures of environmental foresight.Based on data from the Community Innovation Survey in Portugal, simple statistical tests, including Chi², t, and Levene's tests and contingency tables (adjusted standardized residuals), were used to study the relationship between firms' characteristics and the introduction of innovation aiming to reduce environmental damage. Environmental foresight is discussed based on three groups of variables that allow considering the industrial context that frames firm's actions, the economic performance of the firm and its innovation patterns.Results show that the development of innovation due to environmental concerns is positively associated with the firm's size and exports share, and negatively associated with its technological content. Moreover, it is shown that the firms that introduced innovations due to environmental concerns are likely to belong to an economic group, to have performed continuous R&D, or received public support. It is also shown that “lack of organizational flexibility” and “lack of receptivity by customers” are the two most relevant innovation barriers for these firms.     

Exploring larger biotech research firm strategies: Projections from a comparison of small and larger firms

This is an exploratory study of larger biotech firms using insights from a head-to-head comparison of 49 small and 17 large U.S. biotech firms using archival data. We found small and large biotech firms to be significantly different from each other on R&D intensity and funding strategies. The findings are used to project and hypothesize about larger biotech firm growth strategies.Whereas R&D expenses in the small firms exceed total income by a wide margin, larger firms are able to cover most, if not all, of their R&D expenses. Thus, the larger firms are relatively more financially viable. Results also show that the larger firms derive a greater proportion of their revenues from collaborative research agreements (CRAs), which has key implications for revenue growth in these firms.Based on the findings we project R&D expenses and collaborative research revenues for biotech firms as they grow in size.     

Characteristics of technology transfer in business ventures: the case of Daejeon, Korea

This article explores the characteristics of venture business and entrepreneurs in Korea to (1) identify technology transfer activities, (2) analyze the differences between technology transfer in linear and nonlinear venture businesses, and (3) guide more effective venture business policy and strategy. This empirical assessment reveals that entrepreneurs have insightful evaluations about their resources and capacities as well as expectations with regard to functions and features of science parks and incubators. Respondents from “linear model”-based start-ups tend to be older and have higher education, employ more basic research and development (R&D) and have more R&D-oriented careers, and have more varied work experience than “nonlinear”-based start-ups. The functions and features of science parks and incubators were generally not considered a critical influence on start-ups nor on the growth of venture businesses. Accordingly, alternative venture-nurturing strategies are discussed as being key to accelerate venture businesses growth.     

Will low technology products disappear?: The hidden innovation processes in low technology industries

Political discussions and analyses have usually been devoted to an understanding of the development of high technology products, although low technology products have dominated the industrial structure of the Organization for Economic Cooperation and Development (OECD) countries. The important role of low technology products in these countries raises the question of whether we can observe a technological paradox in the industrial structure of the more advanced nations, the dominant role of this sector in spite of its competitive disadvantages because of high wages. Using the Danish packaging industry as an example, a central thesis in the article is that innovation processes are important in low technology industries. They are also often an integrated part of the marketing and production functions of the firm. The innovation processes in the low technology industries are therefore too complex for traditional R&D analyses to handle. The article points out that—especially in small firms—the “practical man” and his “tacit knowledge” play a very central role in both product and process development, and that low technology, even in the future, will play a central role in the industrial structure of the OECD countries.     

Modeling stochastic innovation races

We consider a firm moving towards a stochastic final destination to be chosen from a discrete set after a decision period. The decision period itself may be deterministic or stochastic. We assume the firm can move at variable innovation (R&D) speed associated with a monotone nondecreasing variable cost, and it can also stop and move anywhere. There is a fixed cost per time unit “carried” by the firm as well, associated with keeping at the knowledge (technology) frontier. We investigate various types of the firm's optimal trajectory in the R&D race during the decision period. The model is adapted and applied to racing behaviour in the Japanese telecommunication industry.     

Using resources in R&D policy planning: Brazil, the Amazon and biotechnology

Brazil's research and development (R&D) policies are examined in light of changes in economic direction especially as it pertains to competition. In a competitive environment, regions should develop industrial applications and expertise in areas that coincide with their resources. These could be human resources but could, as in the focus of this paper, be useful resources that differentiate the region from others in the world. This differentiation provides an advantage to the region. Brazil and its Amazon region has the large majority of the world's rare genes. In biotechnology, genes are “green gold,” and Brazil is slowly developing a biotechnology industry and beginning to tap into the Brazilian Amazon region's economic biotech potential. This region has enormous potential for the development of biotech-related technologies and products. This paper discusses the relationship between resources and an R&D strategy using as an example the recent developments in biotechnology research in Brazil and the role of the Amazon region in the development of a Brazilian biotechnology industry. It recommends a number of policy initiatives that will enhance Brazil's focus on biotechnology.     

R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data

This paper uses a comprehensive firm level data set for the manufacturing sector in Italy to investigate the effect of government support on privately financed R&D expenditure. Estimates from a non‐parametric matching procedure suggest that public assistance has a positive effect on private R&D investment in the sense that the recipient firms achieve more private R&D than they would have without public support. This indicates that the possibility of perfect crowding out between private and public funds can be rejected. Furthermore, in this sample of Italian firms, tax incentives appear to be more effective than direct grants. The paper also examines whether public funding affects the financial sources available for R&D and finds that grants encourage the use of internal sources. The results also show some evidence of positive effects on credit financing for R&D.     

Subsidized technology and its utilization: Aids for the disabled

Subsidized research into advance technology is one means employed to attain social and ideological goals recognized as vital to a society. Increasing sensitivity to the social uses of technology has recently led to funding of R&D in aids for the disabled. An analysis of 89 such projects between 1979 and 1983 confirm the impact of subsidized public funding on such research, leading to a narrow focus on applied research in specific disability areas with the objective of creating a viable commercial prototype for a highly visible but extremely small number of severely disabled. Subsidized funding also reinforces specialization through selective support of projects by institutional setting. This specialization further focuses research into areas likely to be rewarded by further funding and through this mechanism scientific output matches needs for those whom R&D is subsidized. The impact of subsidized R&D for the disabled can therefore be said to be effective as an example of societal intervention in directing technological advances.     

Strategic planning in public R&D organizations for agribusiness: Brazil and the United States of America

There is increasing evidence that public organizations dedicated exclusively to research and development (R&D) in agribusiness need systematic management tools to incorporate the uncertainties and complexities of technological and nontechnological factors of external environments in its long-term strategic plans. The major issues are: “What will be the agribusiness science and technology (S&T) needs be in the future?” “How to prepare in order to meet these needs?” Both Empresa Brasileira de Pesquisa Agropecuária (Brazilian Agricultural Research Corporation, Embrapa), attached to the Brazilian Ministry of Agriculture and the Agricultural Research Service (ARS) of the US Department of Agriculture (USDA) have developed a comprehensive strategic and operational planning process in order to answer these key questions in the 1990s. The main objective of this article is to present a comparative and preliminary analysis of concepts, methodologies, and processes utilized, and some results obtained by these public organizations.     

A model of “coupled” technology transfer : A logistic curve approach

This article presents a mathematical model relating to the technology transfer problem. The origin of the problem stems from the existing trade-offs between the strategies of “technological progressiveness” and “static efficiency” employed by firms or countries defined as “leaders” and “followers,” respectively. The formulation of the model is based on the assumption that the technological development of a firm or a country follows a logistic growth curve when related to a specific technology. During the process of a “coupled” technology transfer, the development of the follower changes and its behavior is described by a first order nonhomogenous deferential equation. Different scenarios of the “coupled” technology transfer between the leader and the follower are being discussed.     

Increasing returns and the share economy

Under imperfect competition, profit maximization by firms results in the market price exceeding the marginal cost of production; Weitzman terms this “excess supply” Weitzman wishes to replicate in the cost function (in terms of labor) the properties of the revenue function (in terms of output), thus generating “excess demand” for labor. A revenue-sharing scheme will achieve this if and only if there are decreasing returns to scale. Hence increasing returns apparently play no role in Weitzman's analysis.     

Influence and inefficiency in the internal capital market

I model inefficient resource allocations in M-form organizations due to influence activities by division managers that skew capital budgets in their favor. Corporate headquarters receives two types of signals about investment opportunities: private signals that can be distorted by managers, and public signals that are undistorted but noisy. Headquarters faces a tradeoff between the cost of attaining an accurate private signal and the value of the information the signal provides. In contrast to existing models of “socialism” in internal capital markets, I show that investment sensitivity to Tobin's Q is higher than first-best in firms where division managers hold equity (a result consistent with evidence presented in Scharfstein, 1998). When managers face high private costs from distorting information (equity holdings), headquarters may commit to investment contracts that place “too little” weight on private signals and “too much” weight on public signals (i.e. Q). This result has implications for managers in the design of capital budgeting processes and incentive compensation systems.     

Pitfalls to avoid when measuring institutions: Is Doing Business damaging business?

Over recent years, both governments and international aid organizations have been devoting large amounts of resources to “simplifying” the procedures for setting up and formalizing firms. Many of these actions have focused on reducing the initial costs of setting up the firm, disregarding the more important role of business registers as a source of reliable information for judges, government departments and, above all, other firms. This reliable information is essential for reducing transaction costs in future dealings with all sorts of economic agents, both public and private. The priorities of reform policies should therefore be thoroughly reviewed, stressing the value of the legal institutions rather than trivializing them as is often the case. Journal of Comparative Economics 35 (4) (2007) 729–747.     

The effect of risk-sharing government subsidy on corporate R&D investment: Empirical evidence from Korea

Despite the wide belief that the high social rates of returns to R&D investment justify government subsidy policy in advanced countries, there are only limited studies about whether the R&D subsidy as a means of risk-sharing stimulates R&D investment of small and medium sized enterprises (SMEs) in developing countries. This paper empirically investigates the issue, using a unique data set on government subsidy for new technology development of Korean manufacturing firms, listed and non-listed, for the period from 2000 to 2007. The paper employs the DID estimation procedure and controls for simultaneity of the subsidy for new technology development using 2SLS and two step Tobit procedure. Our empirical results show that there is no solid evidence for crowding-out effects of the government subsidy. These results suggest that government subsidies could help SMEs to overcome the barriers to risky R&D projects through sharing R&D failure risk with government and by reducing capital costs to undertake new technology development projects, and thus the subsidy policy for new technology development seems to be partly successful in promoting the R&D investment of the Korean SMEs.