Biotechnology as a Technological Paradigm in the Global Knowledge Structure

This article offers a critique of the application of the concept 'technological paradigm', and associated concepts, to biotechnology. It argues that despite the attractiveness of Dosi's concept there are clear problems in applying it to technologies with a strong socio-political character. One set of problems lie with the limitations of the concept itself. A more profound problem is the complexity of biotechnology, extending to the controversies surrounding it, and its place in the global political economy. It is argued that there is a need to go beyond what is essentially an innovation economist's conceptualisation to engage a more socio-political context. The concerns of the field of international political economy are brought to bear on these issues to support an extension of the definition of technological paradigm as well as to re-assert a more widespread importance of the concept.     

Renewable energy innovations in Europe: a dynamic panel data approach

We investigate the determinants of renewable energy R&D intensity and the impact of renewable energy innovations on firm performance, using several dynamic panel data models. We estimate these models using a large data set of European firms from 19 different countries, with some patenting activity in areas related to renewable energies during the 1987 to 2007 period. Our results confirm our priors on the determinants of the rapid development of renewable energy R&D intensity during the past decades. Additionally, we find evidence that renewable patent intensity has a significant dynamic impact on the stock market value of firms.     

The productivity impact of R&D investment: are high-tech sectors still ahead?

Our aim is to investigate the relationship between a firm's R&D expenditures and its productivity, looking at sectoral peculiarities. We use a unique longitudinal database consisting of 1809 US and European manufacturing and service firms over the period 1990–2008. Our main findings can be summarised as follows. Consistently with previous literature, the knowledge stock has a significant positive impact on a firm's productivity. More interestingly, the coefficient turns out to be significantly larger in the R&D-user services and high-tech manufacturing sectors than in the non-high-tech manufacturing sectors. Contrary to the ‘latecomer advantage’ approach, these outcomes suggest that firms in high-tech sectors are still ahead in terms of impact on productivity of R&D investments.     

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.     

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.     

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.     

On the impact of innovation and inequality in economic growth

We present robust results on the empirical relationship among income inequality, innovation, and economic growth for a panel dataset of 74 countries over the period 1996–2014. We estimate pairwise causality tests to show that there is bidirectional causality between GDP per capita and R&D, while R&D causes the Gini index of income inequality, and it causes human capital. Allowing coefficients to be different across cross-sections of countries, we get in any case a pairwise bi-directionality. By dynamic panel data estimations, when regressing R&D on GDP per capita, we obtain a threshold value of 0.16% of R&D such that for values above it there is economic growth. While regressing R&D on the Gini index, we get a threshold of 0.10% of R&D above which, the income distribution begins to improve. Finally, we estimate a growth equation that depends on R&D, income inequality, and physical capital. We obtain two thresholds, one of 38.79 for the Gini (above which the economic growth decreases), and one of 0.06% for R&D such that above it, economic growth is rising.     

R&D and patents: is it a two way street?

ABSTRACT

This paper provides empirical evidence on the link between firms’ R&D expenditure and patent registrations by applying the Granger causality test. We use a panel of Spanish manufacturing firms for the period 1990–2013. We first, examine the R&D-patents relationship in the manufacturing firms as a whole and subsequently, manufacturing was broken down into three groups of firms according to the technological level of the industries to which the firms belonged: high and medium-high (HMHT), low medium (LMT) and low (LT) technology firms. For the entire panel, our results provide support for a bidirectional relationship between R&D and patents, supporting both the traditional view and the reverse causality approach (patents cause R&D). When the sample is split into the three technology levels, we also find strong support for a bidirectional relationship in HMHT firms and weak support in LT ones. We found no evidence of this bidirectional link in LMT firms.     

Does R&D,human capital and FDI matter for TFP in OECD countries?

ABSTRACT

This study investigates the interplay between research and development (R&D), human capital (HC), foreign direct investment (FDI) and total factor productivity (TFP) in OECD countries. We divide the sample into two sub-groups; the European and the non-European states so as to account for underlying country heterogeneity. The analysis follows a panel data approach over the period 1995–2015, taking into account the modelling on non-stationarity, long-run relationships and short-run dynamics with a panel VAR. Both R&D and HC have a positive effect on TFP, whilst FDI has a positive and significant effect only in the case of non-European countries. Moreover, the contribution of R&D is higher than that of HC and FDI in all cases. Thus, based on these findings, policymakers should design and implement policies to increase resources invested in R&D, with a consistent ongoing spending review, to attract foreign direct investment, especially for the majority of the European and some of the non-European countries and to improve education system on a more productive innovation and research base.     

Explaining Differences in Economic Growth among OECD Countries

This paper re-examines the determinants of growth of GDP per capita using panel data for OECD countries for the period 1970–1999 with data averaged over five-year periods from new perspectives. First, we introduce indicators of innovation input and technological specialization simultaneously into the empirical growth equation. Second, we employ the system-GMM (Generalized-Method-of-Moments) panel estimator that controls for (a) the possible specification bias when variables are highly persistent over time and (b) the possible simultaneity bias. We find a large and statistically significant impact of business enterprise R&D (BERD) intensity on GDP per capita with an elasticity of 0.22. The share of high-technology exports is also significantly positively related to GDP per capita, but the magnitude suggests that BERD is more important than technological specialization in explaining the level of GDP per capita. Furthermore, we find that the budget deficit and government consumption (both measured as percentages of GDP) and the volatility of growth are significantly negatively related to GDP per capita.The authors would like to thank Gunther Tichy for helpful comments on an earlier draft of this article. We also thank the participants of the Austrian economic association conference (NOEG) and the Empirical Industrial Organization workshop at the WU WIEN for helpful comments. We gratefully acknowledge financial support from the OeNB Jubiläumsfonds Project and the Austrian Federal Ministry for Economy and Labor (BMWA).JEL codes: E62, H20, H50, O23, O40     

Information sharing and the stability of cooperation in research joint ventures*

The model studies information sharing and the stability of cooperation in cost reducing Research Joint Ventures (RJVs). In a three-stage game-theoretic framework, firms decide on participation in a RJV, information sharing along with R&D expenditures, and output. An important feature of the model is that voluntary information sharing between cooperating firms increases information leakage from the RJV to outsiders. It is found that RJVs representing a larger portion of firms in the industry are more likely to share information. It is also found that when sharing information is costless, firms generally don't choose intermediate levels of information sharing: they share all the information or none at all. The size of the RJV is found to depend on three effects: a coordination effect, an information sharing effect, and a competition effect. Depending on the relative magnitudes of these effects, the size of the RJV may increase or decrease with spillovers. In response to an increase in leakages, RJV members reduce their R&D spending. In addition, they either increase the RJV size while maintaining information sharing unchanged (when leakages are low), or they reduce both information sharing and RJV size (when leakages are high).     

Technological Change, Market Rivalry, and the Evolution of the Capitalist Engine of Growth

In the early stages of Western industrialization, innovation was the domain of individuals who devoted their entrepreneurial talents to the development of a new product or process, typically setting up a new firm in order to take the innovation to the market. Today, commercial R&;D is almost exclusively carried out by corporate laboratories affiliated with manufacturing firms. The corporate R&;D lab, however, did not exist in its modern form until the late nineteenth century. The history of Western industrialization, thus, suggests that a fundamental change in the structure of incentives, and consequently in the nature and the organization of the R&;D process, occurred around the turn of the century. Three questions arise. What is the nature of this change? What economic forces caused it? What are its implications? To answer these questions, I construct a model where this change is endogenous to the evolution of the economy toward industrial maturity. The change in the locus of innovation—from R&;D undertaken by intventor-entrepreneurs, to R&;D undertaken within established firms in close proximity to the production line—results from the interaction of market structure and technological change. This interaction captures the essence of the evolution of the capitalist engine of growth and provides an economic explanation of a “stylized fact” that has received no attention in the theoretical literature. The endogenous market structure generates dynamic feedbacks that shape the growth path of the economy and determine the structural change it undergoes, including the endogenous formation of corporate R&;D labs. The evolution of market rivalry explains when and how established firms become the major locus of R&;D activity.     

Technological opportunity and the growth of knowledge: A Schumpeterian approach to measurement

A model of endogenous growth, based on Schumpeter's notion of trustified capitalism, is developed and applied to firm-level data for the period 1973–1991. The model relates the market value of a firm to its current profits and to its R&D expenditures. The relationship depends upon the expected rate of knowledge growth, the expected value of an innovation and the elasticity of the R&D production function. Over the sample period, investors expected knowledge to grow at an average rate of 5 percent, a measure which reflects both process innovations and new product discoveries. Elasticities of the R&D production functions are estimated for thirteen industry groups and interpreted as measures of technological opportunity. There is no evidence of secular decline in technological opportunity over the sample period, but there is some evidence of diminishing returns to R&D intensity. Variations in technological opportunity over time are not correlated across industries. In contrast, the expected rates of knowledge growth at the industry level are highly correlated with the aggregate expected rate.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

Demand-Creating R&D in a Symmetric Oligopoly

Spillovers with demand-creating research and development (R&D) activities are investigated by revisiting a widely employed market share rivalry demand structure. Positive technological spillovers may inflict positive or negative side effects on rivals and this has important implications for the effects on innovative efforts of loose or tight R&D cooperation in symmetric oligopolies. A comparison with the effects that apply with linear demand structures and implications for empirical research are also touched upon.     

Rent Protection as a Barrier to Innovation and Growth

We build a model of R&D-based growth in which the discovery of higher-quality products is governed by sequential stochastic innovation contests. We term the costly attempts of incumbent firms to safeguard the monopoly rents from their past innovations rent-protecting activities. Our analysis (1) offers a novel explanation of the observation that the difficulty of conducting R&D has been increasing over time, (2) establishes the emergence of endogenous scale-invariant long-run innovation and growth, and (3) identifies a new structural barrier to innovation and growth. We also show that long-run growth depends positively on proportional R&D subsidies, the population growth rate, and the size of innovations, but negatively on the market interest rate and the effectiveness of rent-protecting activities. An unpublished version of this paper was circulated earlier under the title “Innovation and Rent Protection in the Theory of Schumpeterian Growth.” We thank an anonymous referee and seminar participants in several venues for useful comments and suggestions.