Trade and the Transmission of Technology

This paper integrates earlier studies on the link of productivity and research and development (R&D) in different industries of a closed economy with the more recent emphasis on R&D-driven growth and international trade in open economies. In this framework, technology in the form of product designs is transmitted to other industries, both domestically as well as internationally, through trade in differentiated intermediate goods. I present empirical results based on a new industry-level data set that covers more than 65 percent of the worlds manufacturing output and most of the worlds R&D expenditures between 1970 and 1991. The analysis considers productivity effects from R&D in the domestic industry itself, from R&D in other domestic industries, as well as in the same and other foreign industries. I estimate strong productivity effects both from own R&D spending and R&D conducted elsewhere. The contribution of R&D in the industry itself is about 50 percent in this sample. Domestic R&D in other industries is the source of 30 percent of the productivity increases, and the remaining 20 percent are due to R&D expenditures in foreign industries.     

A Schumpeterian model of endogenous innovation and growth

A disequilibrium model of endogenous innovation and growth is presented. The behaviour of the agents is supposed to be governed by routines, not by maximization. The entrepreneurs are assumed to invest a fraction of their operating profits in real capital accumulation, and another fraction in R&D. The latter leads to an increase in labour productivity via a R&D production function. In this Schumpeterian model, not only the R&D processes of innovations are considered, but the diffusion processes as well. As in Schumpeter's theory of economic development the economic impact of technical change is considered a disequilibrium phenomenon. Thus, in a capitalist economy characterized by ongoing diffusion processes of innovations, time averages are more important than steady state values even in a long run perspective.     

R&D Efficiency Gains Due to Cooperation

A theoretical and widely-quoted finding is that levels of cooperative R&D exceed noncooperative R&D levels when technological spillovers are relatively large, while the opposite holds for relatively small technological spillovers. We qualify this result by showing that for relatively small technological spillovers the comparison is not driven by the extent of technological spillover, but by the increase in technological spillover due to cooperation in R&D. In particular, an agreement to cooperate in R&D always raises R&D efforts if the post-cooperative technological spillover rate is high enough.     

Research policy and endogenous growth

This paper studies the effects of different types of research policy on economic growth. We find that while subsidies to private research, public funding of private projects, and basic research performed at public institutions have unambiguously positive effects on growth, performing applied research at public institutions could have negative growth effects. This is due to the large crowding out of private research caused by public R&D when it competes with private firms in the patent race.JEL Classification: O31, O38, O40I thank the helpful comments of Jordi Caballé, David Pérez-Castrillo and two anonymous referees. I also aknowledge the financial support of Fundaci ón Séneca project PB/3/FS/02.     

On the impact of public policies and wage formation on business investment in research and development

Against the backdrop of mediocre growth prospects in many countries, governments should do more to promote private investment in research and development (R&D). Public fiscal policies and the characteristics of wage formation are key as they affect both the incentives that firms face and their resources. This paper studies their impact at the macro level in a panel of 14 OECD countries since 1981, while we also account for the impact of unobserved common factors like the world level of knowledge. Tax incentives, government intramural expenditures on R&D, public R&D subsidies (if they are not too low nor too high) and especially investment in tertiary education, encourage business R&D investment. Wage moderation may also contribute to innovation, but only in fairly closed economies and in economies with flexible labour markets. In highly open economies with rigid labour markets, high wage pressure promotes investment in R&D. Innovation may then be the only competitive strategy for firms.     

Quantifying knowledge exchange in R&D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

Incremental R&D subsidies

An Incremental Incentive Scheme (IIS) encourages some activity by rewarding an agent for overachieving a base level determined by past performance but not penalizing underachievement. We examine an IIS R&D subsidy in a dynamic model due to Grossman and Shapiro (1986). We show that the firm's optimal R&D path either cycles around the no-subsidy path or follows a ratchet pattern of small increases in R&D relative to the no-subsidy path. A simple condition determines which type of behavior occurs. Furthermore, we show that an IIS may be an inefficient method of encouraging R&D compared to a flat-rate subsidy.We wish to thank Gene Grossman and two referees for helpful comments. All remaining errors are our own.     

Tax policy endogeneity: evidence from R&D tax credits

This paper estimates the causal effect of research and development (R&D) tax incentives on R&D expenditures using new data on U.S. states. Identifying tax variation comes from changes in federal corporate tax laws that heterogeneously and, due to the simultaneity of state and federal corporate taxes, automatically affect state-level tax laws. Instrumental variables regressions indicate that a 1% increase in R&D tax incentives causes a statistically significant 2.8–3.8% increase in R&D. Alternatively, ordinary least squares (OLS) regressions of R&D expenditures on R&D tax incentives, which do not correct for the policy endogeneity of R&D tax incentives, indicate that a 1% increase in R&D tax incentives causes a statistically insignificant 0.4–0.7% increase in R&D. One possible explanation for these results is that tax policies are implemented before an economic downturn.     

Effects of a blocking patent on R&D with endogenous survival activities

This study analyzes the effect of strengthening patent protection for innovation and economic growth by introducing a blocking patent into the endogenous growth model developed by Furukawa (Econ Lett 121(1):26–29, 2013a), which features survival activity of patent holders in the R&D sector with a variety-expansion model. Results show that strengthening patent protection can raise the economic growth rate and social welfare through an endogenous survival investment. Additionally, this study examines the effects of increasing subsidies for R&D. We find that increasing R&D subsidy rate can negatively affect economic growth and social welfare because of the investment for survival activities. This result shows the novel role of a blocking patent in determining innovation effects of R&D subsidies. Furthermore, we analyze the effect of patent breadth which is another patent instrument in this model on innovation and economic growth. Results show that the growth and welfare effects of the profit-division rule and the subsidy rate for R&D may vary with the size of patent breadth.     

Occupational choice and entrepreneurship: effects of R&D subsidies on economic growth

Most R&D-based growth models fail to explicitly account for the role of entrepreneurs in economic growth. By contrast, this study accounts for this factor and constructs an overlapping-generations model that includes entrepreneurial innovation and the occupational choice of becoming an entrepreneur or a worker. For the role of entrepreneurs, even a policy intended to encourage innovation can negatively affect economic growth. For the effect of such policies, I focus on the role of R&D subsidies. I show that while R&D subsidies promote entrepreneurs’ R&D activities, they increase workers’ wages by boosting labor demand. Thus, it is more attractive to be a worker, which reduces the number of entrepreneurs. Subsidies can have both a negative and positive effect on growth, which results in an inverted U-shaped relationship between R&D subsidies and growth. In addition, a growth-maximizing R&D subsidy rate exists, although this rate is too high to maximize the welfare level of any one generation. When individuals are heterogeneous in their abilities, R&D subsidies reduce intra-generational inequalities.     

Effectiveness of R&D subsidies during the crisis: firm-level evidence across EU countries

This paper is one of the first attempts in the literature to evaluate the effectiveness of R&D policies in Europe during the great crisis of the late 2000s. Using homogenous firm-level data for the largest EU Member States over the period 2007–2009, we test whether manufacturing firms receiving public subsidies spent more on R&D. The analysis is performed using both non-parametric techniques and parametric estimation methods accounting for the possible endogenous selectivity of R&D subsidies. The hypothesis of full crowding-out is rejected in all countries under exam as firms did not replace their own resources with public grants. However, these firms did not allocate additional funds to research and hence, differently from earlier works, we do not find evidence for additionality effects of R&D subsidies. Our estimates indicate that, albeit not expansive, public subsidies to R&D thwarted the reduction of firm R&D efforts in the aftermath of economic crisis.     

A dynamic general equilibrium model for public R&D investment in Taiwan

In terms of economic development policies, public research and development (R&D) investment may be one of the most critical and useful tools in Taiwan, having frequently played a role in leading related overall investment in Taiwan. Although the impact channels of R&D investment are varied and complex, its benefits in terms of the development of human capital, industrial productivity, and basic research are clear. With the rapid growth of the private sector in the Taiwan economy, it is, however, debatable whether the government should continue to use the public financial budget to invest in R&D. By using a computable general equilibrium (CGE) model to simulate the impact of public R&D investment on the economy in Taiwan, the empirical evidence of the present paper is that public R&D investment gives rise to different short-term and medium-term impacts on real GDP that are mostly felt in the third or fourth years of their implementation among different industries. These impacts then gradually converge back to equilibrium in the long run. Public R&D investment boosts the technology of high-tech industries and increases exports, but it also crowds out the output of primary industries. Although the public R&D investment has a positive effect on the real wage, its effect on inflation should not be overlooked. Because of the pros and cons surrounding the impact of public R&D investment on industries and the economy, the study provided by the present paper can serve as valuable reference not only to decision-makers in government agencies but also to academic researchers.     

The role of diminishing returns in neo-Schumpeterian growth theory

Summary. This paper generalizes Segerstrom [5], a dynamic general equilibrium model of endogenous growth through quality improvements in which innovation and imitation are modeled as the outcomes of research and development (R&D) races. Specific factors introduced into the technologies of both R&D activities achieve diminishing returns to scale in R&D. The comparative-static results of subsidies to R&D activities depend on the degree of diminishing returns to scale in R&D. When there is (is not) a sufficient degree of diminishing returns to R&D, a subsidy to innovative activity increases (decreases) innovative activity. Received: July 8, 1994; revised version: June 9, 1997     

Is R&D always growth-enhancing? Empirical evidence from the EU countries

This study provides empirical evidence regarding the effects of R&D on economic growth in a panel of 28 European Union (EU) countries over the period 1997–2014. In particular, we investigate whether the impact of business and government R&D stocks on economic growth depends on the country’s distance to the world technology frontier. The main findings are that in the EU (i) there is positive, statistically significant business R&D stock–economic growth nexus in countries that are relatively close to the frontier and (ii) no statistically significant relationship was found to exist between government R&D stock and economic growth. From the policy perspective, the results suggest that designing proper national policies that allow switching from investment-based to innovation-based strategies at appropriate moments may be far more important than a simple call for increase in R&D expenditures and setting common numerical targets for all EU-member states.     

R&D activity in a dynamic factor demand model

The focus of this paper is an econometric analysis of the determinants of private firms' R&D activities in the context of a general dynamic factor demand model. Besides the traditional production factors we treat technological knowledge, endogenously determined by R&D expenditures, as a further input factor. While labour and materials are assumed to be variable, capital and know-how are considered as quasi-fixed. The dynamic demand equations for labour, capital investment and R&D which are derived from an intertemporal cost minimisation are estimated for a panel data set of small and medium size German firms. The data covers the period between 1978 and 1982 and includes 408 firms. It turns out that R&D activity depends on the underlying production structure as suggested by neoclassical theory. In addition, by introducing firm specific effects, we can show that firm size and market concentration influence innovative behaviour in accordance with the Schumpeterian hypotheses.Paper presented at the Industrial Organization Conference at the Annual Meeting of the Austrian Economic Association, Vienna, June 24–26, 1992, the 7th Annual Congress of the European Economic Association, Dublin, August 29–31, 1992, and the 19th Annual Conference of the EARIE, Stuttgart, September 4–6, 1992. Helpful suggestions and comments were received from participants of these conferences as well as from seminar participants at Temple University, at the University of Augsburg, and at the fourth DFG workshop Marktstruktur und gesamtwirtschaftliche Entwicklung in Munich. We are particularly indebted to an anonymous referee for very helpful specific comments. Finally, we would like to thank Horst Albach for providing us with the panel data set. Financial support of the DFG is gratefully acknowledged.     

Assessing the influence of differentiation strategy and R&D subsidies on R&D cooperation

This paper explores the R&D cooperation determinants of the innovative companies belonging to the Spanish manufacturing sector. Our findings suggest that the variable R&D subsidy is endogenous, significant, and has a strong positive influence on R&D cooperation. This is a clear indication that the achievement of public aid is often conditioned by the obligation for companies to cooperate in R&D. We have also found that the differentiation strategy variable is significant and has a negative influence on R&D cooperation. Companies positioned in a differentiation strategy probably own and use some different knowledge from other companies. Consequently, they will not have much interest in taking advantage of the spillovers generated by other companies. It is therefore logical that they are reluctant to establish cooperation agreements on R&D. Therefore, companies positioned in the differentiation strategy need public policies to support R&D that are not conditioned to the establishment of cooperation agreements.     

Price,private demand and optimal provision of public R&D investment: An application to Italian agriculture, 1960–1995

The current paper presents a model in which public R&D stock is included as a quasi-fixed input in a variable cost function. Its price affects the long run desired level, while its shadow price indicates whether under (over) investment occurs in the short run. Two alternative R&D prices and, thus, two different long-run desired levels, are defined. One concerns the private (farmer) perspective, in which farmers express demand under the assumption of costless R&D. The other considers the societal point of view, in which the objective is the optimal public R&D supply conditioned on its cost. Application of the above model to the Italian agricultural context (1960–1995) suggests a significant difference between these private and social desired R&D levels. The latter are, on average, closer to the observed values, though over-investment has emerged since the mid-eighties.

Optimal research and development and the cost of business cycles

While research and development (R&D) investment has been procyclical in the post-war period, recent literature suggests that the optimal path for R&D is countercyclical, and that the economy would be better off by subsidizing R&D in recessions. The objective of this paper is to analyze the welfare effects of distortions in the intertemporal allocation of R&D resources and to compare diverse policy interventions so as to improve social welfare. To this end, we introduce a calibrated dynamic stochastic general equilibrium model with Schumpeterian endogenous growth that is capable of explaining the observed procyclicality of R&D. Our results show that the cost of business cycles is lower in the decentralized economy with procyclical R&D than in the efficient allocation with countercyclical R&D. This is because the suboptimal propagation of shocks in the decentralized equilibrium offsets some of the existing steady-state distortions. In this second-best context, countercyclical R&D subsidies have no positive effect on welfare. In contrast, fiscal policies aimed at restoring the optimal steady-state produce large welfare gains.     

Technological complexity and economic growth

Over the last fifty years there have been large secular increases in educational attainment and R&D intensity. The fact that these trends have not stimulated more rapid income growth has been a persistent puzzle for growth theorists. We construct a model of endogenous economic growth in which income growth, R&D intensity, and educational attainment depend on the complexity of new technologies. An increase in complexity that makes passive learning more difficult induces increases in R&D and education, alongside a decline in income growth. Our explanation also predicts a concurrent rise in the skill premium.     

R&D and productivity growth: Evidence from the UK

Although the econometric evaluation of R&D has attracted wide interest in many countries, it has not attracted much in the UK. The main objective of this paper is to fill this void, i.e., to estimate the impact of R&D on productivity growth of the UK manufacturing sector. However, there are some additional objectives. Firstly, we estimate the impact of R&D on productivity growth of large and small firms and we discuss a number of theoretical arguments regarding the role of firm size. Secondly, given that the technological infrastructure influences the innovative capacity of a firm, we compare the impact of R&D on productivity growth of high-tech firms with the corresponding impact on productivity growth of low-tech firms. Thirdly, we investigate whether the contribution of R&D to productivity growth has changed over time.

Based on firm-level data (78 firms, 1989–2002), we find that the contribution of R&D is approximately 0.04. Although the R&D-elasticity of large firms (0.044) is higher than the corresponding elasticity of small firms (0.035), the difference is small. In contrast, the R&D-elasticity is considerably high for high-tech sectors (0.11), but statistically insignificant for low-tech sectors. Finally, the investigation of the elasticity of R&D over time revealed an interesting discontinuity showing that although until 1995 the R&D-elasticity was approximately zero, after 1995 it increased dramatically to 0.09. We investigate the potential causes of such non-linearity and we suggest a number of possible explanations.