International R&D spillovers and institutions

The empirical analysis in “International R&D Spillovers” [Coe, D., Helpman, E., 1995. International R&D Spillovers. European Economic Review, 39, 859-887] is first revisited on an expanded data set that we have constructed for the purpose of this study. The new estimates confirm the key results reported in Coe and Helpman about the impact of domestic and foreign R&D capital stocks on TFP. In addition, we show that domestic and foreign R&D capital stocks have measurable impacts on TFP even after controlling for the impact of human capital. Furthermore, we extend the analysis to include institutional variables. Our results suggest that institutional differences are important determinants of TFP and that they impact the degree of R&D spillovers. Countries where the ease of doing business and the quality of tertiary education systems are relatively high tend to benefit more from their own R&D efforts, from international R&D spillovers, and from human capital formation. Strong patent protection is associated with higher levels of total factor productivity, higher returns to domestic R&D, and larger international R&D spillovers. Finally, countries whose legal systems are based on French and, to a lesser extent, Scandinavian law benefit less from their own and foreign R&D capital than countries whose legal origins are based on English or German law.     

Product differentiation, process R&D, and the nature of market competition

We investigate the relationship between process and product R&D and compare the incentives for both types of R&D under different modes of market competition (Bertrand versus Cournot). It is shown that: (i) process R&D investments increase with the degree of product differentiation and firms invest more in product R&D when they can do process R&D than when they cannot; (ii) Bertrand firms have a stronger incentive for product R&D whereas Cournot firms invest more in process R&D; and (iii) cooperation in product R&D promotes both types of R&D relative to competition whereas cooperation in both types of R&D discourages R&D relative to cooperation in just product R&D.     

Property rights protection and corporate R&D: Evidence from China

Following the recent literature on institutions and economic growth, we examine the effects of property rights protection on corporate R&D. Using a unique 2003 World Bank survey of over 2400 firms in 18 Chinese cities, we obtain the following findings: (1) property rights protection is positively and significantly related to corporate R&D activity (for both process and product R&D); (2) government services and helping hand are conducive to corporate R&D, while informal payments to government officials are not; and (3) government ownership of firms and direct appointment of CEOs are negatively associated with corporate R&D activities. We also find that corporate R&D is positively related to firm size, and access to finance, but negatively related to product market competition and firm age.     

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     

Research and development,productive structure and economic effects: Assessing the role of public financing in Brazil

Investments in research and development (R&D) have played a key role in promoting productivity improvements and economic growth. This paper explores the economics effects of public R&D investment funding in Brazil, taking into account the changes in total factor productivity (TFP) in high-, medium- and low-technology sectors. Public funding plays an important role in the development of R&D activities in Brazil and its participation has increased since 2010. Our paper simulates a withdrawal of R&D investments and TFP linked to public financing from an R&D-based computable general equilibrium (CGE) model, which recognizes the stock-flow relation between R&D investment and knowledge capital. Without public R&D investment funding, the main findings indicate losses in TFP, adverse effects on the formation of physical capital, shrinkage of more intensive R&D industries, and more future dependence on the public sector for knowledge stock, especially for education.     

Self-fulfilling prophecies in the quality ladders economy

If R&D difficulty increases as it accumulates, as recent evidence suggests, then there is a value in the diversification of the aggregate R&D efforts over the whole range of industries in the economy. However, this paper proves that the quality ladders models allow for self-fulfilling prophecies to divert R&D from an arbitrary number of sectors, with potentially dramatic effects on the dynamics of industry structure and on the long-run aggregate growth performance. Moreover, in developing countries, perfect markets might allow stagnant monopolies to resist despite the removal of fundamental entry barriers to dynamic competition. This kind of coordination failure implies potentially strong effects of socio-cultural factors on growth and suggests a positive role for public R&D policy even in a framework of semi-exogenous growth.     

The Indian growth miracle and endogenous growth

Using over half a century of R&D data for India, this paper tests whether the second-generation endogenous growth theories are consistent with India's growth experience. Furthermore, the paper examines the extent to which growth in India can be explained by R&D activity, international R&D spillovers, catch-up to the technology frontier and policy reforms. The empirical results show that the growth in India over the past five decades has been driven by research intensity following the predictions of Schumpeterian growth theory.     

Too little or too much R&D?

According to the first generation models of endogenous growth based on expanding product variety, the market economy unambiguously generates too little R&D. Later, by disentangling returns to specialization from the market power parameter, it was shown that with sufficiently low returns to specialization too much R&D can occur. The present paper takes a step further, disentangling the market power parameter from the capital share in final output. At a theoretical level this helps finding too much R&D as well. On the other hand, in view of the empirically realistic order of magnitude between the parameters, disentangling market power and capital share tends to diminish the scope for excess R&D. Finally, by differentiating between net and gross returns to specialization we demonstrate what drives the differing inefficiency results in this literature.     

R&D policy with layers of economic integration

This paper examines whether the optimal unilateral R&D policy for an open economy is a subsidy or a tax. It constructs a general equilibrium model with three successive layers of international integration: (a) trade in goods, (b) trade in technologies with international R&D spillovers and (c) internationally-coordinated R&D policy. Trade in technologies introduces the possibility that an R&D subsidy will have such strong, negative terms-of-trade effects that it harms domestic welfare. Numerical simulations of the OECD show this is a possibility for the US and Japan. With international R&D spillovers a domestic R&D subsidy may reduce domestic innovation.     

Research & development and growth: A Bayesian model averaging analysis

We examine the effect of research and development (R&D) on long-term economic growth using the Bayesian model averaging (BMA) to deal rigorously with model uncertainty. Previous empirical studies, which applied BMA, investigated the effect of dozens of regressors on long-term growth, but they did not examine the effect of R&D due to data unavailability. We extend these studies by proposing to capture the investment in R&D by the number of Nobel prizes in science. Using our indicator, the estimates show that R&D exerts a positive effect on long-term growth. This result is robust to many different parameter and model prior structures as well as to alternative definitions of R&D indicator.     

On `indirect' trade-related R&D spillovers

An influential literature argues that trade promotes knowledge flows and technology transmission between trading partners. This literature focuses on `direct' research and development (R&D) spillovers which are related to the levels of R&D produced by the trading partners. In this paper, we argue that `indirect' trade-related R&D spillovers also take place between countries, even if they do not trade with each other. These `indirect' spillovers are associated with available rather than with produced levels of R&D. Our empirical results suggest that these `indirect' trade-related spillovers are at least as important as the `direct' ones, and strengthen the view that trade does matter for the international transmission of R&D. They also suggest that, due to the existence of these `indirect' effects, bilateral trade patterns are relatively less important determinants of the level of foreign R&D spillovers acquired through trade.     

Innovation timing games: a general framework with applications

We offer a new algorithm for analyzing innovation timing games. Its main advantage over the traditional approach is that it applies to problems that had previously been intractable. We use the algorithm to examine two classical innovation problems. We find that the competition takes the form of a waiting game with a second-mover advantage either for any level of R&D costs (process innovation) or for high R&D costs (product innovation). Moreover, both models predict that the second-mover advantage is monotonically increasing in the costs of R&D.     

Private R&;D and Spillovers in European Agriculture

The objective of this paper is to present econometric evidence of the effects of economic incentives, public policies, and institutions on national aggregate private agricultural R&D investments. The main hypothesis we will test in this paper is whether agricultural R&D spillovers represent a disincentive for national private R&D. More specifically, we will test if the spillovers function, which is a determinant of private R&D, follows a quadratic form and if private R&D is determined by the role of incentives and institutions.A previous draft of this paper was presented at the 57th International Atlantic Economic Conference, Lisbon, Portugal, 10–14 March 2004. Comments from participants have been very useful to improve the paper.     

Testing a model of UK growth: A role for R&D subsidies

R&D is a main driver of growth, whether by generating new ideas for production or increasing technological transfer. However, R&D itself is risky and faces numerous barriers which may reduce its marginal return. Direct R&D subsides are intended to counteract such barriers, but whether they lead empirically to increased economic growth is unclear. In our structural model of the UK, subsidies offset the frictional costs associated with R&D, incentivising innovation and so stimulating productivity growth. We estimate and test this structural model by indirect inference, a method not previously used in work on R&D. We find that even temporary cuts to R&D funding have long-lasting impacts on UK economic growth. The power of the test allows us to calculate tight accuracy bounds for our results and for policy reform impacts calculated using the model. These findings are of high relevance to the ongoing debate around the future UK innovation environment.     

The Causality Between R&D And Investment

The aim of this paper is to investigate the relationship between R&D expenditure and investment in machinery and equipment in order to test for causality. New growth theory emphasises the role of R&D in creating blueprints needed to produce new capital goods implicitly assuming causality running from R&D to investment. Other recent studies using firm level data have investigated the relationship between innovative activity and investment in fixed capital. In this paper we use aggregate data from the US economy on R&D expenditure in the industrial sector and aggregate investment in machinery and equipment. Standard Granger causality tests, together with the Hsiao version, are then performed, showing that causality runs from R&D to investment. In addition we perform a cointegration analysis allowing a test of possible long-run feedbacks. This dynamic representation shows that any feedback between investment and R&D is only significant in the long run.     

Research and development and trade policies for product innovation in the presence of foreign competition

This paper examines two policy instruments — a matching grant and import tariffs — for encouraging research and development (R&D) in product innovation by a domestic firm when it faces foreign competition. We do so by developing a theoretical model of product innovation where R&D effort is endogenous and its outcome uncertain. We examine the effects of a reduction in import tariffs on private expenditure on R&D, on public support for such R&D, and on total R&D expenditure. We find that in response to a reduction in import tariffs, the domestic firm always reduces its private R&D investments, but the total level of R&D expenditure (i.e., including public support) might go up depending on the level of tariffs. In particular, we find that it will go up if the initial level of tariff is higher than a critical level. When tariff is endogenous, we find that the socially optimal level of tariffs is positive. One finding that is of particular interest is that supporting private attempts to product innovate in the form of a matching grant program leads to a socially optimal level of product R&D.     

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.     

Information disclosure, banking development and knowledge-driven growth

In this study we develop a knowledge-driven growth model which explicitly models the banking sector as monopolistically competitive. The main mechanism through which financial intermediaries affect the real economy is through the evaluation and provision of liquidity to R&D projects. We distinguish two scenarios. In the regime with information disclosure, banks are able to use the stock of information obtained by the banking industry from evaluating R&D projects. This information externality brings about efficiency improvements, thereby leading to a positive entry of banks, more bank-funded research and in turn positive economic growth. By contrast, in the regime with no information disclosure, it is not profitable for new banks to enter the industry. This implies that no more potential R&D projects can be evaluated and hence financed, thus leading the economy to a zero-growth equilibrium.     

Technological convergence, R&D, trade and productivity growth

This paper analyses productivity growth in a panel of 14 United Kingdom manufacturing industries since 1970. Innovation and technology transfer provide two potential sources of productivity growth for a country behind the technological frontier. We examine the roles played by research and development (R&D), international trade, and human capital in stimulating each source of productivity growth. Technology transfer is statistically significant and quantitatively important. While R&D raises rates of innovation, international trade enhances the speed of technology transfer. Human capital primarily affects output through private rates of return (captured in our index of labour quality) rather than measured TFP.     

Multiplicity and stagnation under the Romer model with increasing returns of R&D

This study develops a simple growth model to explain stagnation and non-simple growth patterns by using increasing returns of R&D efficiency. The study adopts a type of the lab-equipment model, namely, the Romer model, where goods are used as R&D input. Here, we assume capital, or durable goods, as the R&D input factor, and R&D efficiency is assumed to be variable. This arrangement yields three steady states, namely: no-growth, low-growth, and high-growth steady states. These trajectories are jumpable. Accordingly, global indeterminacy is obtained. By uniting the numerical analysis, we obtain that all steady states are saddle stable. However, when the increasing R&D efficiency is small, the path converging to a high-growth-rate steady state shows local indeterminacy.