Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.     

Knowledge spillovers and R&D subsidies to new,emerging technologies

Is knowledge spillover a rationale for supporting R&D on new, emerging technologies more than R&D on other technologies? In this paper, I analyze whether innovation externalities caused only by knowledge spillovers differ between technologies of different maturity. I show that R&D should not be subsidized equally across industries when the knowledge stocks differ. This is because knowledge spillovers depend on the size of the knowledge stock and the elasticity of scale in R&D production. R&D in the emerging technology should be subsidized more when the elasticity is smaller than one. However, R&D in the mature technology should be subsidized more when the elasticity is larger than one.     

R&D and foreign direct investment with asymmetric spillovers

This paper analyzes how firms’ R&D investment decisions are affected by asymmetries in knowledge transmission, considering different sources of asymmetry such as unequal know-how management capabilities and spillovers localization within an international oligopoly. We show that a better ability to manage knowledge flows incentivizes the firm to invest more in R&D. By introducing geographically bounded spillovers, we also find that one-way foreign direct investment (FDI) stimulates the multinational enterprise to raise its own R&D and that an FDI equilibrium is more likely to occur. Finally, spillovers localization leading to two-way FDI is welfare improving when compared with non-localized spillovers.     

More on subsidizing cooperative and noncooperative R&D in duopoly with spillovers

In an earlier article in this journal I compared two R&D-stimulating policies: allowing for R&D cooperatives and providing direct R&D subsidies (see Hinloopen, 1997:Journal of Economics 66: 151–175). I also considered the implementation of both policies simultaneously. Since then Amir (1998: Discussion Paper 1/1998, Odense University) has shown that the model I used as a starting point (i.e., that of d'Aspremont and Jacquemin, 1988:American Economic Review 78: 1133–1137) is not well-defined with respect to a crucial parameter (the technological spillover) and subsequently proposes an augmentation of the model. Replicating then my original analysis with this augmented model reveals that all results stated before remain valid. In addition I correct a minor error in Hinloopen (1997) related to the comparison of optimal R&D subsidies.     

Measuring innovation in long product development cycle industries: an insight in biotechnology

This paper examines and measures innovation in the context of biotechnology firms by analysing the link between R&D, innovation performance and organisational growth. We conceptualise innovation performance as a latent construct with two dimensions: innovation efficacy and innovation efficiency. We use structural equations modelling to test the hypotheses on a data set from the biotechnology industry. Results support our innovation performance conceptualisation which is found to be especially useful to measure innovation in industries with long product development cycles. Findings also underline the importance of R&D knowledge creation for biotechnology firms.     

R&D spillovers and productivity: Evidence from U.S. manufacturing microdata

This paper deals with the estimation of the impact of technology spillovers on productivity at the firm level. Panel data for American manufacturing firms on sales, physical capital inputs, employment and R&D investments are linked to R&D data by industry. The latter data are used to construct four different sets of `indirect' R&D stocks, representing technology obtained through spillovers. The differences between two distinct kinds of spillovers are stressed. Cointegration analysis is introduced into production function estimation. Spillovers are found to have significant positive effects on productivity, although their magnitudes differ between high-tech, medium-tech and low-tech firms. First version received: April 1997/final version received: April 1999     

The two ways of FDI R&D spillovers: evidence from the French manufacturing industry

Using French firm-level panel data, this study investigates R&D spillovers from inward foreign direct investment (FDI) with respect to both horizontal and vertical linkages (backward and forward). Using a Crepon, Duguet and Mairesse (CDM) model, we estimate an R&D-augmented Cobb–Douglas production function to assess the impact of R&D spillovers on firm performance. The results emphasize that international spillovers (from foreign affiliates to local firms) have a greater effect on firm performance than reverse spillovers (from local firms to foreign affiliates) and are more likely to be backward than forward. Moreover, the effect of backward spillovers depends on a firm’s absorptive capacity and is amplified in the case of outsourcing relationships.     

Endogenous spillovers and incentives to innovate

Summary. We present a new approach to endogenizing technological spillovers. Firms choose levels of a cost-reducing innovation from a continuum before they engage in competition for each other's R&D-employees. Successful bids for the competitor's employee then result in higher levels of cost reduction. Finally, firms enter product market competition. We apply the approach to the long-standing debate on the effects of the mode of competition on innovation incentives. We show that incentives to acquire spillovers are stronger and incentives to prevent spillovers are weaker under quantity competition than under price competition. As a result, for a wide range of parameters, price competition gives stronger innovation incentives than quantity competition. Received: February 1, 1999; revised version: November 14, 2001     

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.     

R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

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).     

Research Joint Ventures with Asymmetric Spillovers and Symmetric Contributions

The paper proposes a new type of R&D cooperation between firms endowed with asymmetric spillovers, which we call symmetric Research Joint Venture (RJV) cartelization, based on reciprocity in information exchange. In this setting, firms coordinate their R&D expenditures and also share information, but such that the asymmetric spillover rates are increased through cooperation by equal amounts. It is found that this type of cooperation reduces R&D investment by the low spillover firm when its spillover is sufficiently low and the spillover of its competitor is sufficiently high. But it always increases the R&D of the high spillover firm, as well as total R&D (and hence effective cost reduction and welfare). A firm prefers no cooperation to symmetric RJV cartelization if its spillover rate is very high and the spillover rate of its competitor is intermediate. The profitability of symmetric RJV cartelization relative to other modes of cooperation is analyzed. It is found that symmetric RJV cartelization constitutes an equilibrium for a very wide range of spillovers, namely, when asymmetries between spillovers are not too large. As these asymmetries increase, the equilibrium goes from symmetric RJV cartelization, to RJV cartelization, to R&D competition, to R&D cartelization.     

Optimal pollution control in a mixed oligopoly with research spillovers

We study optimal pollution abatement under a mixed oligopoly when firms engage in emissions‐reducing research and development (R&D) with imperfect appropriation. The regulator uses a tax to curb emissions. Results show that in a mixed oligopoly, the public firm has positive emissions reduction in equilibrium; however, emissions reductions of the private firm could be positive or zero. Under certain conditions, the optimal pollution tax is positive; otherwise, the tax reverts to a subsidy. Comparing mixed and private duopolies, privatisation leads to reductions in R&D and output, but to an increase in overall emissions, so privatisation tends to make the environment worse.     

Public support for reducing US reliance on fossil fuels: Investigating household willingness-to-pay for energy research and development

In order to reduce future dependence on foreign oil and emissions of CO₂, how much would US households be willing to pay annually to support increased energy research and development (R&D) activities designed to replace fossil fuels? Does it matter whether the R&D includes nuclear energy options? We explore these questions using data from a unique set of national telephone and Internet surveys. Using a national advisory referendum format, the contingent valuation method is applied to estimate annual household willingness-to-pay (WTP) for US household support of a national Energy Research and Development Fund (ERDF) for investments in energy sources not reliant on fossil fuels. While accounting for the level of (un)certainty in voting responses, the WTP modeling includes a comparison of both classic maximum likelihood estimation (MLE) and Bayesian analysis. Evidence indicates that MLE and Bayesian analysis achieve similar statistical inference, while the Bayesian analysis provides a narrower confidence interval around estimated WTP.     

The endogenous formation of scientific research coalitions

The paper develops a formal model of coalition-building ("network" formation) among research units that seek competitive funding from a supra-regional program, while also drawing support from their respective regional funding agencies. This analysis is motivated by the absence of frameworks of analysis applicable to problems of design of public R&D funding arrangements in the European Union, and in other regional systems were independent programs of "federal and state" support for research co-exists. The model assumes a fixed finite population of research units and an associated distribution of reputed quality, or scientific reputation, which may be modified as a consequence of research results. Non-cooperative games of coalition formation developed by Bloch (1995), and Ray and Vohra (1999), provides a useful single-period framework for this part of the analysis. Collaborations are formed in the expectation of attracting incremental research funding, given the selection criteria of the agency that offers funding for "networks". Invitations to join proposals for networks are initiated and acted upon following a specific ordering procedure. This gives rise to a repeated non-cooperative game of coalition (or collaboration) formation, in which the distribution of payoffs within the collaboration is governed by a fixed rule. Following Keely (2002), this type of game is applied to a multi-period setting in which a distribution of coalitions is tracked, along with the levels of funding received. The latter are determined according to a rule comparing the distribution of reputations within proposed collaborations, and the effects upon the distribution of reputations in the entire population are analysed. Alternative possible external funding rules are evaluated with the help of a numerical example, to determine how their impacts upon collaboration formation, and the resulting evolution of the reputation distribution (as that will be affected by the allocation of funding).     

R&D intensity,economic growth and firm-size growth: theory and practice

This article proposes a theoretical knowledge-driven horizontal research and development (R&D) endogenous-growth model to explain, for 10 innovative countries, the co-movement of the respective R&D intensity, economic growth and firm-size growth, by exploring short-medium-run and long-run growth effects. Bearing in mind some recent literature, we improve the R&D technology, by considering that R&D is more labour intensive through time as complexity increases, that the diffusion of designs is affected by coordination, organizational and transportation costs, and that a potential entrant will come up with the right idea is reduced because of the presence of a larger number of entrants. We show that when the economy is not initially in a steady state, it can take a saddle path towards the unique and locally saddle-path stable interior steady state. Both transitional-dynamics and steady-state behaviours of our theoretical model are then consistent with, respectively, the time-series and the cross-sectional evidence.     

Network structure and robustness: lessons for research programme design

The information and communication technology (ICT) network of the last two European Research Framework Programmes (FPs) is deeply influenced by two distinct groups of organizations: a small group of hubs (3% of the participants) hold the key to keeping the network together and a second group of non-hub connectors large enough (39% of the participants) with a significant share of the overall networking activity provide a robust base for the network. The ICT network can survive the removal of single important funding instruments such as integrated projects or specific targeted research projects. Increasing policy rhetoric on innovative application in the new FP (Horizon 2020) should be reflected in a shift of core participants from largely public research and teaching organizations to private-sector companies.     

Spillovers and absorptive capacity in the decision to innovate of Spanish firms: the role of human capital

This paper investigates whether the existence of knowledge spillovers and the capacity of firms to assimilate them, which we relate with R&D intensity and some human resource management practices, are associated with the decision to innovate of Spanish firms. In order to do this, we employ data from the ‘Central de Balances’ database, which covers both manufacturing and services firms during the period 2003–2007, and use an estimator proposed by Wooldridge [2005. Simple solutions to the initial conditions problem in dynamic nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics 20, no. 1: 39–54] for dynamic random effects discrete choice models. The empirical exercise provides evidence on the positive link between spillovers and the innovative behaviour of companies, not just for the knowledge generated in the same industry, but also for that generated in the same region or by the public sector. Moreover, this link is stronger for those firms with a higher capacity to absorb those spillovers. This ability not only works through firms’ R&D capabilities, but also through factors such as the quality of the labour force, the share of temporary employment and the amount of resources spent in training. In addition to these factors, we find that innovation performance exhibits a high degree of inertia. Further, some other observed firm characteristics, such as size, sales growth, export behaviour, sector capital intensity or financial structure variables, are also found to be relevant determinants of the likelihood of innovation.     

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.     

The R&D system for industrial development in Taiwan

The research and development (R&D) system for industrial development in Taiwan is made up of three parts: industrial firms, government-supported institutes (GSIs), and academic institutes and universities. The Taiwanese experience showed that the effective interaction of the GSIs and the industrial firms has successfully supported the development of its industry. The Industrial Technology Research Institute (ITRI) played the key role in industrial development during recent decades. This study provides a comprehensive analysis of ITRI and the way in which it fulfills its role through an examination of its major tasks. The implications for developing countries are also discussed.