Quantitative growth effects of subsidies in a search theoretic R&D model

Should government subsidize R&D and does it matter how these subsidies are allocated? We examine these questions in a dynamic model where R&D is described as sequential sampling from a distribution of new ideas. Successful discoveries affect future available resources and incentives for further R&D. Consequently, there may be under-investment in R&D. We study the effect of government interventions aimed at fostering growth through R&D. Calibrating the model with aggregate data from the Israeli business sector allows us to quantitatively compare two forms of support resembling those actually used to encourage R&D in the Israeli business sector: (i) an unrestricted subsidy that may be used at the recipients' discretion to finance R&D or other investments, (ii) a subsidy earmarked by the government for R&D activities only. While there is no theoretical way to determine which of the two subsidies will have a greater impact on search for new ideas and growth, we find that in the calibrated economy both subsidies have a significant but similar impact on the economy's output and TFP growth rates. Accordingly, in the case of the Israeli business sector, the incentives to conduct R&D were sufficiently strong, and no R&D-specific encouragement was needed. However, a sensitivity analysis reveals that for economies characterized by other parameter values this result may not be true. Correspondence to: B. Bental     

Industry R&D intensity distributions: regularities and underlying determinants

This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the “unobserved R&D-related capabilities” suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution.     

Multimarket contact and inter-firm cooperation in R&D

Research joint ventures (RJVs) have been widely acclaimed for their alleged ability to restore private incentives to undertake R&D. Economists have, however, also sounded the alarm concerning the opportunities RJVs may create for collusion between partners. The danger of anti-competitive behavior increases significantly when repeated R&D collaboration occurs between firms that also “meet” in many product markets. This phenomenon is shown to be present in a large set of U.S.-based RJVs. The question is about the incentive trade-off: Are the alleged advantages of RJVs in terms of enhancing incentives for R&D sufficient to overcome the potential disadvantages in terms of decreasing incentives for R&D due to simultaneous multiproject and multimarket contact? Significant foreign participation, high technological and market uncertainties, and the set up of “porous” RJVs may operate as a check to anti-competitive behavior.     

A Schumpeterian model of equilibrium unemployment and labor turnover

This paper constructs a general equilibrium model of equilibrium unemployment by combining an endogenous growth model with a variant of equilibrium search theory. The analysis offers two explanations for the causes of widening wage gap between skilled and less-skilled labor, and rising unemployment rate among the less skilled: technological change in the form of an increase in the size of innovations or skilled labor saving technological change in R&D activity. In addition, the model identifies two distinct effects of faster technological progress on the aggregate unemployment rate. First, it increases the rate of labor turnover and therefore increases the aggregate unemployment rate – the creative destruction effect. Second, it creates R&D jobs, which offer workers complete job security, and consequently reduces the aggregate unemployment rate – the resource reallocation effect.     

The new geography of corporate research in Information and Communications Technology (ICT)

In the new ICT-based paradigm MNCs have increasingly locationally dispersed competence-creating activities. Using patent data granted in the US to the largest European-owned electronic corporations and all the largest companies in other industries for their ICT research in the European regions, this paper investigates the regional dispersion of such research. We find that co-specialised electronic companies do not tend to develop related R&D in the same regional location, but non-electronic firms undertake related ICT development in a common centre of excellence. Thus, intra-industry competition encourages the geographical separation of co-specialised research, while inter-industry cooperation entails the co-location of related research.     

The role of innovation and quality change in Japanese economic growth

This paper explores the use of time series data to isolate quality change in the Japanese economy using a hedonic procedure. We argue that the traditional approach to hedonic estimation based upon panel data sets of different brands in a given product area is extremely resource intensive and, thus, unlikely to be adopted by official statistical bodies outside of key areas, such as computers. This paper adopts a “top-down” approach to see whether more traditional measures of technical change, such as patents, can be used to separate pure inflation from quality change. If this is possible, it offers a much simpler route to estimate the role of quality change in economic growth and performance. In practice, we extend the analysis not only to include patents, but other forms of intellectual property that might reflect technology and attribute changes, such as designs, utility models and trademarks. We begin by taking a longer-term historical perspective, exploring the development of indigenous inventive capacity in Japan during the early years when R&D data are not available. It is possible to show that the rise in utility models pre-dates the main growth in patenting activity, suggesting the development in more low-level indigenous creative work prior to higher level inventive activity. The principal aim of this paper, however, is to demonstrate that it is possible to develop robust models to explain changes in the producer price index in Japan, which can then be used to re-examine Japanese growth performance over the period from about 1960. If the official Japanese statistical body has fully accounted for quality change in the price indices (i.e. produced fully quality-constant price deflators), then the official estimates of growth will be correct. However, we provide strong evidence that this is not the case. Changes in quality, proxied by the IP variables, are important determinants of prices in Japan over the period 1960 to 1995 as a whole. Indeed, we provide evidence that the true rate of growth of the Japanese economy, taking into account the rate of quality change, is significantly higher than that suggested in official statistics.     

What is the systems perspective to Innovation and Technology Policy(ITP) and how can we apply it to developing and newly industrialized economies?

Despite recent advances in the Evolutionary and Systems Perspectives to Economic Change (SI), confusion still exists about how to apply it to the design and implementation of Innovation & Technology Policy (ITP) in concrete settings. Since the ‘Normative’ aspects of SI are framed in terms so general to make them insufficient or inadequate as guides and tools for actual policymaking, a presumption exists that additional theoretical and conceptual knowledge is required. Thus a major objective of this paper is to contribute to the development of a realistic and ‘grounded’ theoretical framework for Technology and Innovation Policy which is particularly relevant both for the promotion of Business Sector R&D and of hi tech (especially IT) industries in Top Tier and other Industrializing Economies. A second objective is to contribute directly to the capability of successfully applying this conceptual framework in concrete policy settings. Rather than justifying ITP the paper focuses on characterising and applying “Salient Normative Principles or Themes” of the SI perspective to ITP. Several concrete examples are given and the notions of Policy Process, (Country) Program Portfolio Profile and Policy Environment are introduced.     

Barriers to knowledge spillovers and regional convergence in an evolutionary model

This paper will present a multi-region/multi-country model in which inter-regional knowledge spillovers determine the growth of regions. Key parameters in the model are the learning capability of a region and the rate of knowledge generation (R&D). The intensity of spillovers depends on geographical distance between regions. The model is investigated by means of simulation techniques. What results is a core-periphery situation, the exact form of which depends on the assumed spatial structure. The impact of economic integration is investigated by introducing barriers-to-knowledge-spillovers in the model in the form of borders between countries. Contrary to the popular belief and some economic theories, we find that removing such spillover barriers may result in larger disparity of income levels between regions.     

The productivity effects of local R&D outsourcing: the moderating role of subsidiary mandate and internal R&D

This study examined the moderating effects of two kinds of internal R&D (parent R&D and subsidiary R&D) on the relationship between local R&D outsourcing and subsidiary productivity as internal R&D challenges the collaborative relationships in the local environment. Due to the specific feature of a subsidiary mandate, we further investigate whether two distinct kinds of internal R&D have different moderating effects between exploitation-oriented subsidiaries and exploration-oriented subsidiaries, based on a sample of longitudinal data set of 263 Taiwan-based manufacturing subsidiaries over the period 2006–2009. The empirical results show that for exploitation-oriented subsidiaries parent R&D plays a significant and negative moderating role on the impact of local R&D outsourcing based on local collaboration, while a positive moderating role is observed with parent R&D and subsidiary R&D for exploration-oriented subsidiaries.     

Analysis of the impact of agricultural R&D investment on food security

This article investigates how agricultural R&D investment affects the food self-sufficiency ratio (SSR). Several studies have argued a causal relationship between agricultural R&D investment and food security. However, most of these studies are based on conceptual logic and few studies have conducted an empirical analysis. This study verifies whether agricultural R&D investment affects the food SSR as a representative indicator of food security. A total of 822 data sets of 41 countries have been used in the analysis in this study and include developed and developing country data over the period 1981–2009. Food self-efficiency is used as a dependent variable, and agricultural R&D investment and other variables are used as explanatory variables. The estimation results show that, first, the cereal SSR and income are in an inverted U-shaped relationship. Second, increases in land productivity increase the cereal SSR and, lastly, the cereal SSR ratio and agricultural R&D investment are in a U-shaped relationship.     

The impact of corporate debt on long term investment and firm performance

Prior research indicates a linkage between debt, research and development (R&D) and physical investment, and that the relationship varies depending on the type of firm (science versus non–science). Leverage also plays a multidimensional role in corporate performance and growth. The relationship between financial leverage and R&D expenditure is analysed using a sample of large United States (US) manufacturing firms. Then, the impact of leverage on R&D expenditure is studied using corporate performance drivers as intermediate variables. The results indicate that there is a strong negative relationship between the degree of financial leverage and the level of R&D expenditure that firms undertake. The negative relationship is robust to changes in model specifications and sample periods. More importantly, the results show that it is higher leverage that leads to lower R&D expense rather than R&D causing variations in future leverage. In addition, the results indicate that higher leverage adversely influences future investment in R&D which may in turn lead to negative impact on long term operating performance and future growth opportunities.     

Innovation and productivity in family firms: evidence from a sample of European firms

ABSTRACT

Using firm-level data, we estimate the returns to R&D investments for a sample of European manufacturing firms over the period 2007–2009. Results confirm that R&D efforts are positively related to productivity regardless of firm type (family or nonfamily firms). Additionally, we find that family firms invested more in R&D than nonfamily firms, but the returns to their R&D investments are low, emphasizing that they have a lower capacity to translate R&D investments into economic gains.     

Assessing the nonlinear nature of the effects of R&D intensity on growth of SMEs: a dynamic panel data approach

Based on a sample of Portuguese SMEs for the period 1999–2006 and using two step estimation, namely probit regressions and dynamic estimators, this study makes two important contributions to the literature: (i) identification of a quadratic relationship between R&D intensity and SME growth that takes the form of a U, and so R&D intensity is a stimulating factor of SME growth for high levels of R&D intensity; being a restrictive factor of SME growth for low levels of R&D intensity; and (ii) the growth of SMEs seems to be dependent on the nonlinear effects associated with distinct levels of R&D intensity. The nonlinear effects identified suggest that Portuguese SMEs with high levels of R&D intensity more easily find an efficiency scale and are more dependent on internal financing and short-term debt as sources for funding growth, compared to the case of Portuguese SMEs with lower levels of R&D intensity.     

R&D in Indian manufacturing enterprises: what shapes it?

The article examines the factors influencing research and development (R&D) in manufacturing entities. Using data on a large sample of companies for the period 1995–2007, the finding indicates that large companies have a higher probability of pursuing R&D, although with lower intensity. In terms of magnitudes, a 10% increase in firm size raises R&D intensity by roughly 0.6%. Both the intensity and the probability of undertaking R&D initially declines for older firms. Outward orientation, and especially foreign currency earnings, has a significant bearing on R&D efforts. R&D efforts are also found to vary significantly across firm ownership.     

Efficiency and its determinants in pharmaceutical industries: ownership,R&D and scale economy

The purpose of this article is to measure the efficiency of pharmaceutical firms and identify their determinants using Korean and American samples from 1992 to 2004. We document some stylized facts in the patterns and sources of efficiency change in Korean and American pharmaceutical firms. The evidence shows that ownership structure can substantially influence the efficiency of pharmaceutical firms. Especially, institutional ownership rate affects corporate efficiencies negatively, corroborating the myopic institutional investor hypothesis. The hypothesis is supported by both Korean and American samples. However, we find evidence that foreign ownership in Korea promotes efficiency of pharmaceutical firms. It is shown that R&D intensity is positively related to contemporaneous largest ownership rate and prior foreign ownership rate in Korean pharmaceutical firms. In contrast, little evidence is found on the relationship between ownership structure and R&D intensity in the American pharmaceutical industry. These empirical results are robust even after we check the causal links among efficiency, R&D and ownership.     

Patents and R&D expenditure effects on equity returns in pharmaceutical industry

As costs of pharmaceutical R&D soar and productivity falls, the role of research pipelines in firm valuations is changing. To date, surprisingly little work has been published on the effects of R&D pipeline performance on equity returns, while controlling for coincident factors, such as legacy patents and presence of blockbuster drugs in production. Using 1996–2013 data for nine largest pharmaceutical companies in the world, this article assesses the role of the above factors on returns to pharmaceutical companies equity. We show significant positive link between changes in the number of blockbusters on patent six months prior and returns in excess of pharmaceutical equity index. The number of patents granted by United States Patent and Trademark Office in a quarter is also a significant factor. On the other hand, we find that increases in R&D expenditure in large-cap pharmaceutical companies are viewed negatively by investors in the short term.     

Foreign capital,credit constraints and continuity of firms’ R&D

In this article, we investigate the role of foreign capital participation as a means for firms to overcome the obstacle posed by credit constraints to sustain R&D investments. Using data for Spanish manufacturing firms in the period 1990–2006, we show that firms with foreign capital are significantly less likely to stop already initiated R&D projects and also more likely to sustain R&D investment when facing credit constraints. Our results are robust to positive selection into foreign capital participation, which we control through a set of variables chosen from a propensity score estimation, and to firms’ fixed-effects.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Productivity and R&D sources: evidence for Catalan firms

This paper draws on a sample of innovative Catalan firms to identify how two main sources of innovation – internal R&D and external R&D acquisition – affect productivity in the manufacturing and service industries. The sample comprises 1612 innovative firms from the fourth European Community Innovation Survey (CIS-4) during the period 2002–2004. We compare empirical results when applying the usual OLS and quantile regression techniques controlling with a non-parametric sample selection. Our results indicate the different patterns that are attributable to the two sources of innovation as we move up from lower to higher conditional quantiles. First, the marginal effect of internal R&D on productivity decreased as we moved up to higher productivity levels. Second, the marginal effect of external R&D acquisition increased as we moved up to higher productivity levels. Finally, empirical results show significant complementarities between internal and external R&D, which are higher for knowledge-intensive service sectors.     

How technological innovation affects the structure of an industry: entrepreneurship evolution in the biotechnology and pharmaceutical industry since 1980

Challenges faced by the biotechnology and pharmaceutical industry, including reduced R&D productivity and the expiration of drugs that are high in demand, are recently being addressed through technological innovation. Such innovations are highly likely to change the structure and functioning of the industry. Since 2000, biotechnology and pharmaceutical companies have actively made strategic alliance, and technological innovations have changed the source of innovation from R&D to entrepreneurship within the industry. In this study, we identify the evolution of entrepreneurship and discuss the changes caused by technological advancements since 1980 by analysing patterns of exporting and acquiring technology data from Medtrack. Over difference period, biopharmaceutical firms have gained new knowledge and improved technology, and have implemented this newly acquired knowledge and innovation to introduce drugs to the market.