The spatial component of R&D networks

We study the role of geography in R&D networks by means of a quantitative, micro-geographic approach. Using a large database that covers international R&D collaborations from 1984 to 2009, we localize each actor precisely in space through its latitude and longitude. This allows us to analyze the R&D network at all geographic scales simultaneously. Our empirical results show that despite the high importance of the city level, transnational R&D collaborations at large distances are much more frequent than expected from similar networks. This provides evidence for the ambiguity of distance in economic collaboration which is also suggested by the existing literature. In addition we test whether the hypothesis of local buzz and global pipelines applies to the observed R&D network by calculating well-defined metrics from network theory.     

Learning from successes and failures in pharmaceutical R&D

In this paper, we build a cumulative innovation model to understand the role of both success and failure in the learning dynamics that characterize pharmaceutical R&D. We test the prediction of our model by means of a unique dataset that combines patent information with R&D projects, thus distinguishing patents related to successfully marketed products from those covering candidate drugs that failed in clinical trials. Results confirm model predictions showing that patents associated with successfully completed projects receive more citations than those associated with failed projects. However, we also show that failed projects can be in turn cited more often than patents lacking clinical or preclinical information. We further explore the ‘black box’ of innovation, providing evidence that both successes and failures contribute to R&D investment decisions and knowledge dynamics in science-driven sectors.     

Detecting which firm-specific characteristics impact market-oriented R&D

This paper investigates which firm-specific characteristics lead multinational enterprises (MNEs) to increase their R&D expenditure in host countries as a way of expanding their business into local markets (market-oriented R&D). The literature that addresses this topic is quite limited because of the difficulty of separating market-oriented R&D expenditure from knowledge-sourcing R&D expenditure in the data. We argue that determining the relationship between local sales and R&D expenditure is a better way to identify whether MNEs are investing market-oriented R&D than is separating the two types of R&D. For connecting firm-specific characteristics, local-market sales, and R&D expenditure together, we adapt two-stage regressions. By employing data from Taiwanese multinationals from 2003 to 2006, we found that if an MNE moves its technology toward capital-intensive products, it increases its R&D expenditure to promote its sales in the local markets in the host country.     

Asymmetric firms,technology sharing and R&D investment

We use a combination of theory and experiment to study the incentives for firms to share knowledge when they engage in research and development (R&D) in an uncertain environment. We consider both symmetric and asymmetric starting points with regards to the amount of initial knowledge firms have before conducting R&D and look at how differences in starting positions affect the willingness of firms to share knowledge. We investigate when and if firms find R&D cooperation beneficial and how investment in R&D is affected by the outcome of the sharing decisions. The experimental evidence shows that overall subjects tend to behave consistently with theoretical predictions for the sharing of knowledge, although leaders who are not compensated by a side payment from laggards are more willing to share than predicted by the theory, and leaders who are compensated are less willing. The data on investment suggests less investment with sharing than without, consistent with theory. Compared to exact numerical predictions, there is overinvestment or underinvestment except for symmetric firms under no sharing. All cases of overinvestment and underinvestment, regardless of sharing or not and regardless of starting positions, are well explained by smoothed-out best (quantal) responses.     

R&D and manufacturing production specialization in developed economies

A study of the relation between technology and manufacturing production specialization in a series of developed economies is performed by means of models relating indicators of revealed symmetric comparative advantage of value added and exports to similar measures of comparative performance of R&D expenditure, capital intensity, total factor productivity and wage costs. The production and R&D specialization are shown to be substantial and sticky. This contrasts with the evidence of a substantial degree of convergence in the patterns of the other variables. Regression estimates show that, although all variables play their part, the impact of comparative R&D efforts on production specialization is by far the strongest. This impact is found to be stronger in the smaller economies and it is especially important in research-intensive industries. The influence of comparative wages is, moreover, found to be positive here, suggesting the dominance of a labour skill and efficiency wage effect over a wage cost competitiveness effect. These findings are shown to conform quite well with the predictions of Schumpeterian theory and of certain contributions to ‘new trade theory’ that have stressed the importance of dynamic economies of scale.     

R&D spillovers and employment: evidence from European patent data

In this paper we investigate the role of patents in the relationship between R&D activity, spillovers and employment at the firm level. A reduced-form labour demand equation is estimated. Our analysis is based upon a dataset consisting of 879 R&D-intensive manufacturing firms worldwide for which information was collected for the period 2002–2010. We use data from all EU R&D investment scoreboard editions issued every year until 2011 by the JRC-IPTS (scoreboards). Since the innovation output of the industrial strategy of every firm is the number of patents, the main contribution to the existing literature is to investigate also the impact of patents/R&D ratio and patents/spillovers ratio on employment level. The empirical results suggest a significant impact of R&D spillover effects on company employment although the results differ substantially according to the spillover stock, which may considerably affect policy implications.     

Cooperative R&D and Commitment to A Policy of Know-how Trading

In this paper, we develop a theoretical framework to investigate the impact of adopting a strategy of know-how trading on the degree of research and development (R&D) cooperation. We show that the consequences of cooperation in know-how sharing under the conditions of the model are similar to a policy of cooperation in R&D investments in areas with large spillovers. An industry-wide policy of cooperation among competitors with respect to R&D investment and sharing would simply result in maximal joint profits. This cooperative R&D outcome could be generalized to any degree of spillover other than 100%. In this paper, the commitment to a policy of know-how trading by the participants in an industry is explained by the firm’s attempt to induce the equilibrium of a single industry-wide cooperative research joint venture. In a repeated game framework, we show that pre-commitments by non-cooperative firms to disclose their own know-how to the industry can be effective in inducing cooperative R&D investments by the participants.     

Firm growth and R&D: Evidence from the Portuguese manufacturing industry

This work studies the effects of R&D activities and investment, both physical and R&D, on the growth of firms by considering a dynamic firm growth model with serial correlation. The main hypotheses maintain that firms with a strong commitment to R&D have a higher growth rate, and investment has a positive effect on firm growth. We investigate such relations with reference to an unbalanced panel data set of Portuguese manufacturing firms over the period of 1990 to 2001. We find that a systematic tendency for smaller firms to grow more quickly is the main reason why firm growth is not entirely stochastic.     

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.     

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.     

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.     

Intensity of R&D competition and the generation of innovations in heterogeneous setting

This paper discusses the role of technological spillovers and technological races in dynamic strategic interactions setup. Two firms invest simultaneously into new products creation and into further development of the quality of these products. Each firm may benefit from the costless technological spillover in case of technological leadership of the other firm. At the same time they cooperate in the joint creation of new products. Three different scenarios emerge: constant technological leadership, the technological leapfrogging and symmetric outcome with or without potential spillovers. R&D is maximal for the first scenario and minimal for the symmetric play under the threat of spillover with endogenous specialization of firms’ activities in cases of constant leadership and leapfrogging. Definition of technological competition intensity as inverse to the technology gap allows to recover inverted-U relationship between those two in a multidimensional context.     

Export,R&D and new products. a model and a test on European industries

In this article we extend the model developed by Bogliacino and Pianta (Industrial and Corporate Change 22 649, 2013, b) on the link between R&D, innovation and economic performance, considering the impact of innovation on export success. We develop a simultaneous three equation model in order to investigate the existence of a ‘virtuous circle’ between industries’ R&D, share of product innovators and export market shares. We investigate empirically – at the industry level – three key relationships affecting the dynamics of innovation and export performance: first, the capacity of firms to translate their R&D efforts in new products; second, the role of innovation as a determinant of export market shares; third, the export success as a driver of new R&D efforts. The model is tested for 38 manufacturing and service sectors of six European countries over three time periods, from 1995 to 2010. The model effectively accounts for the dynamics of R&D efforts, innovation and international performance of European industries. Moreover, important differences across countries emerge when we split our sample into a Northern group – Germany, the Netherlands and the United Kingdom – and a Southern group – France, Italy and Spain. We find that the ‘virtuous circle’ between innovation and competitiveness holds for Northern economies only, while Southern industries fail to translate innovation efforts into export success.     

Intersectoral and International R&D Knowledge Spillovers and Total Factor Productivity

Disaggregate panel data estimates are presented of equations that relate a set of OECD countries' sectoral total factor productivity to domestic and to foreign R&D capital. The estimates indicate that there are both important international and national R&D knowledge spillovers and that these spillovers are intersectoral and intrasectoral in nature. They show that the influence of domestic R&D is stronger in the large economies and that this is caused by more important domestic intersectoral R&D spillovers. There is also evidence of a greater influence of domestic and of foreign R&D in research intensive industries and of an interaction between the domestic economy scale and the research intensity effects.     

The Impact of Environmental Policy Stringency on Industrial R&D Conditional on Pollution Intensity and Relocation Costs

Stringent environmental regulations may encourage industrial innovation, as technological advancements lower the cost of pollution abatement (Popp et al. in Handbook of the economics of innovation, vol II. Academic Press, Burlington, pp 873–938, 2010). The pollution-havens hypothesis, on the other hand, indicates that, rather than innovating, dirty industries may relocate to countries with less stringent environmental regulations (Copeland and Taylor in J Econ Lit 42(1):7–71, 2004). Thus, more stringent environmental regulations may increase or decrease innovative activities. This paper examines empirically the impact of environmental regulations on R&D intensities and R&D expenditures in 21 manufacturing industries in 28 OECD countries from 2000 to 2007. I consider pollution intensity and the relative ease of relocation (immobility) as industry characteristics that determine the optimal industry response to increased environmental policy stringency. I find that more pollution intensive industries innovate less as regulatory environments become more restrictive relative to less pollution intensive industries. At the same time, more immobile industries innovate more than more mobile industries as environmental regulations become more stringent, illustrating innovation as an alternative to relocation.     

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.     

Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis

The aim of the present research is to provide a new systematic methodology to explore potential Research and Development (R&D) collaboration partners using patent information. The potential R&D collaboration partners are visualised as a patent assignee level map based on technological similarity between patents by using the network analysis. The proposed framework utilises two analytic methods to measure technological similarity. The first method, bibliographic coupling analysis, measures technological similarity based on the citation relationship using patent bibliographic information. Second, latent semantic analysis is utilised based on semantic similarity using patent textual information. The fuel cell membrane electrode assembly technology field is selected and applied to illustrate the proposed methodology. The proposed approach allows firms, universities, research institutes and governments to identify potential R&D collaborators as a systematic decision-making support tool.     

Antidumping protection and R&D competition

Abstract.  In recent years antidumping protection has spread throughout the world. Evidence shows that antidumping often targets R&D‐intensive sectors, raising a concern that it may adversely affect worldwide investments in R&D. We investigate this issue in a model of reciprocal dumping extended to a two‐stage game, in which two firms first choose R&D levels and then compete in prices. We find that, when a single government institutes antidumping law, the protected firm decreases investment in R&D, while the constrained firm invests more. When both governments engage in antidumping actions, both firms invest more in R&D than under free trade. JEL classification: F12, F13     

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.