How to promote R&D-based growth? Public education expenditure on scientists and engineers versus R&D subsidies

This paper compares the positive and normative implications of two alternative measures to promote R&D-based growth: R&D subsidies to firms and publicly provided education targeted to the development of science and engineering (S&E) skills. The model accounts for the specificity of S&E skills, where individuals with heterogeneous ability choose their type of education. Although intertemporal knowledge spillovers are the only R&D externality, the analysis suggests that R&D subsidies may be detrimental to both productivity growth and welfare. Moreover, they raise earnings inequality. In contrast to R&D subsidies, publicly provided education targeted to S&E skills are found to be unambiguously growth-promoting and neutral with respect to the earnings distribution.     

A note on work–leisure choice, human capital accumulation, and endogenous growth

The growth model of Lucas [Lucas Jr., R.E., 1988. On the mechanics of economic development. Journal of Monetary Economics 22 (1), 3–42] is enriched with people having the opportunity to optimally allocate a fraction of their time to non-productive activities (‘leisure’). It is found that the chosen amount of leisure reduces the steady-state rate of growth of per capita output. This implies that the association between income and welfare may not be as strong as it is usually assumed to be. The optimal allocation of time among activities depends on some of the parameters and the marginal product of physical capital per capita.     

Strategic policies and growth: an applied model of R&D-driven endogenous growth

We introduce and explore a general equilibrium model with R&D-driven endogenous growth, whose antecedents are the models of Romer (1990) [Romer, P.M., 1990. Endogenous technological change. Journal of Political Economy, 98, S71-102] and Grossman and Helpman (1991) [Grossman, G.M., Helpman E., 1991. Innovation and Growth in the Global Economy, The MIT Press, Cambridge]. Utilizing evidence from recent econometric studies on sources of growth, the model also accounts explicitly for cross-border technological spillovers. The model is specified and calibrated to data from Japan, and is solved to obtain both the transitional and the steady-state equilibria. We explore the effects of selective trade and R&D promotion policies on long-run growth and social welfare. The model results suggest that while a strategic trade policy has little effect on re-allocating resources into domestic R&D activities, it can significantly affect the cross-border spillovers of technological knowledge, which, in turn, stimulates growth. We find that trade liberalization may cause the growth rate to fall and lead to a loss of social welfare in the long-run, although it improves welfare in the short-run. R&D promotion policies stimulate growth by inducing private agents to allocate more resources to domestic R&D, as well as to take greater advantage of global R&D spillovers. Here, we find significantly high growth effects together with sizable gains in social welfare at low incidence to tax payers.     

Culture and human capital in a two-sector endogenous growth model

Recent literature in the field of cultural economics highlights a possible inversion in the usual causality relation (from economic growth to culture) and points out that culture may represent an important driver of economic growth. By viewing culture in line with Throsby’s (2001) definition of cultural capital (i.e., an asset of tangible and intangible cultural expressions), in this article we analyze one possible channel through which culture may positively affect economic growth, namely the existence of a relationship of complementarity between cultural and human capital investments. Using a two-sector endogenous growth model, we find that in the long run a higher growth rate of real per-capita income can be attained the more cultural and human capital investments are complementary for each other in the process leading to agents’ skill acquisition. We also analyze the conditions under which an increase of the cultural capital share in total GDP can be conducive to a rise of real per-capita income.     

A dynamic model of R&D competition

This study considers a dynamic model of R&D competition in a situation of no uncertainty with identical firms in a perfect foresight. We are going to find out about the effects of firms' absorptive capacity on R&D strategies in the presence of technological spillovers. The conditions for the existence and uniqueness of a feedback–Nash equilibrium on firms' R&D expense will be also discussed. Numerical simulations will show as the introduction of the absorptive capacity reduces the impact of spillovers degree on firms' R&D strategies.     

Product market competition, R&D, and welfare

We compare the subgame perfect equilibrium emerging in four regimes of research and development (R&D) competition between duopolists: (i) full competition, (ii) coordination of research strategies, (iii) joint venture with cross licensing of patents, and (iv) full collusion in R&D and the product market. The outcome of the firms' interaction depends on the interplay of the degree of product market competition, the similarity of the research strategies, and the cost of R&D, relatively to market size. Our main result is that each of the four regimes can, for plausible parameter combinations, yield the highest level of welfare. Therefore it is problematic to draw general rules applicable to all proposed research joint ventures.     

Deregulation in an energy market and its impact on R&D for low-carbon energy technology

This paper analyzes the impact of deregulation in an energy market on R&D activities for new energy technology when climate policy is implemented. A model of growth with vertical innovation is modified by including an oligopolistic energy supply sector for demonstrating to what extent deregulation in the energy supply sector will affect R&D activities for low-carbon energy technology, provided that carbon taxation is implemented. The analysis shows that, when the elasticity of substitution between input factors is less than unity, deregulation will drive energy R&D activities and reduce CO₂ accumulation if the energy market is highly concentrated in the beginning.     

R&D cluster quality measures and technology maturity

“Innovation indicators” strive to track the maturation of an emerging technology to help forecast its prospective development. One rich source of information is the changing content of discourse of R&D, as the technology progresses. We analyze the content of research paper abstracts obtained by searching large databases on a given topic. We then map the evolution of that topic's emphasis areas.The present research seeks to validate a process that creates factors (clusters) based on term usage in technical papers. Three composite quality measures—cohesion, entropy, and F measure—are computed. Using these measures, we create standard factor groupings that optimize the composite term sets and facilitate comparisons of the R&D emphasis areas (i.e., clusters) over time.The conceptual foundation for this approach lies in the presumption that domain knowledge expands and becomes more application specific in nature as a technology matures. We hypothesize implications for this knowledge expansion in terms of the three factor measures, then observe these empirically for the case of a particular technology—autonomous navigation. These metrics can provide indicators of technological maturation.     

Joint R&D projects: Experiences in the context of European technology policy

Joint R&D projects have emerged as a significant model for the development of research and technological activities. Our study examines, through an exploratory analysis, the typology of joint R&D projects and the characteristics of R&D networks in which the projects are developed. In addition, the interrelation between the R&D projects in the context of European Technology Policy is analysed. Findings from survey data collected on joint R&D projects carried out in the context of European Framework Programmes indicate that three groups of R&D projects can be identified (invention, innovation and diffusion projects), and that each of these projects is managed inside the R&D network with a different degree of structuring and external opening. The analysis of interrelations between R&D projects also shows a low, non-linear and non-progressive interrelation. This conclusion is an important question to bear in mind in the design of scientific and technological policies.     

Human capital composition, growth and development: an R&D growth model versus data

The effect of human capital composition on growth and development has been somewhat neglected in economic literature. However, evidence has suggested the importance of engineering and technical (high-tech) skills to economic growth, and international organizations have suggested their shortage in developed countries. Using a standard increasing variety growth model, we propose various measures of human capital composition that are related with economic growth and development. When compared to data, the model does well in explaining the rate of growth and the level of development as a function of these measures. “the British colonies had a better educated population (...). Education was secular with emphasis on pragmatic skills and yankee ingenuity (...). The 13 British colonies had nine universities in 1776 for 2.5 million people. New Spain, with 5 million, had only two universities (...) which concentrated on theology and law.” –(Maddison, 2001)     

R&D spillovers, information technology and telecommunications, and productivity in ASIA and the OECD

This paper examines the role research and development (R&D) plays in technology progress for a sample of OECD and Asian economies from 1980 to 1995. An empirical model is estimated which relates total factor productivity to domestic and foreign R&D activity, trade, and information technology and telecommunications (ITT). Model estimates confirm a positive relationship between national productivity and R&D activity exists in the long run. Further, the benefits of R&D can spillover countries through trade, in particular, trade in ITT equipment.     

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.     

Endogenous mortality, human capital and economic growth

We consider growth and welfare effects of lifetime-uncertainty in an economy with human capital-led endogenous growth. We argue that lifetime uncertainty reduces private incentives to invest in both physical and human capital. Using an overlapping generations framework with finite-lived households we analyze the relevance of government expenditure on health and education to counter such growth-reducing forces. We focus on three different models that differ with respect to the mode of financing of education: (i) both private and public spending, (ii) only public spending, and (iii) only private spending. Results show that models (i) and (iii) outperform model (ii) with respect to long-term growth rates of per capita income, welfare levels and other important macroeconomic indicators. Theoretical predictions of model rankings for these macroeconomic indicators are also supported by observed stylized facts.     

From R&D management to knowledge management: An overview of studies of innovation management

This article is intended to establish links and seek connections between the contributions made to the study of innovatory phenomena. Specifically, it analyzes the evolution undergone by studies on the topic of the technological innovation (TI) process carried out by different disciplines from the point of view of the objectives they pursue and the suppositions on which they are based. Hence, it attempts to provide evidence for the relationships existing between research done at macro level (sociology, history, economics, and industrial economics) and that undertaken at micro level (management).     

Growth and social security: the role of human capital

This paper studies the growth and efficiency effects of pay-as-you-go financed social security when human capital is the engine of growth. Employing a variant of the Lucas model [Lucas, R.E., 1988. On the mechanics of economic development. Journal of Monetary Economics 22, 3–42.] with overlapping generations, it is shown that a properly designed, unfunded social security system leads to higher output growth than a fully funded one. Furthermore, the economy with an unfunded social security is efficient, while the other one is not. These results stand in sharp contrast to those obtained in models where the reason for economic growth is physical capital accumulation.     

Business cycles in a two-sector model of endogenous growth

Summary. This paper analyzes the impact of cyclical volatility on long-term economic growth: does growth increase or decrease with increased cyclical volatility? We construct a stochastic two-sector model of endogenous growth to analyze this question in detail. We will show that economic growth is higher in the presence of business cycles, since people devote more time to learning activities in an uncertain economic environment. Human capital is a hedge against future income uncertainty. Hence, the rate of economic growth will be higher in a stochastic environment. Based on a calibration of the model, we find that economic growth increases by 0.46%-point as a result of observed business cycle variability. When account is taken of the interaction between the model's general equilibrium and the cycle, welfare gains (measured in units of a permanent percentage increase in consumption) from eliminating business cycle volatility are approximately 1.87%. Received: January 25, 2000; revised version: November 3, 2000     

Scale effects in endogenous growth theory: an error of aggregation not specification

Modern Schumpeterian growth theory focuses on the product line as the main locus of innovation and exploits endogenous product proliferation to sterilize the scale effect. The empirical core of this theory consists of two claims: (i) growth depends on average employment (i.e., employment per product line); (ii) average employment is scale invariant. We show that data on employment, R&D personnel, and the number of establishments in the US for the period 1964–2001 provide strong support for these claims. While employment and the total number of R&D workers increase with no apparent matching change in the long-run trend of productivity growth, employment and R&D employment per establishment exhibit no long-run trend. We also document that the number of establishments, employment and population exhibit a positive trend, while the ratio employment/establishment does not. Finally, we provide results of time series tests consistent with the predictions of these models.     

High-growth versus declining firms: the differential impact of human capital and R&D

We provide evidence that both human capital and R&D increase the likelihood that a firm will be a high-growth firm in the industry. However, different from human capital, being an R&D active firm also increases the probability of substantial decline or failure, underscoring the risky nature of innovation. Quantile regression results show that, different from R&D, human capital is growth-enhancing for all firms, hence also those located in the lower quantiles of the distribution of growth rates across firms.     

A solution to the Lucas–Uzawa model with increasing returns to scale: Note

Chilarescu [2008, An analytical solutions for a model of endogenous growth, Economic Modelling.] claims that he determines a solution path to the Lucas–Uzawa model with increasing returns to scale. However, the path is not a closed-form since it depends on the initial consumption and the initial time for goods production, that are unknown. Moreover, the production function is nonconcave and then the first order conditions and the transversality conditions are not sufficient for the optimality. This note converts the model to a problem in which the Hamiltonian is available and derives a fully-closed form solution.     

Optimal fiscal policy in an endogenous growth model with public capital: a note

This note presents an investigation of the optimal tax rule in endogenous growth models with public capital. It is presumed that the government levies only an income tax in addition to financing public investment. Furthermore, a household’s saving is deducted from the income tax. We find the optimal tax rule whereby the social optimum is attainable. The manner by which a government imposes a tax on income and administers tax deductions is important for attaining a socially optimal situation.