Governance and effects of public R&D subsidies: Evidence from China

This study examines the effects of public research and development (R&D) subsidies and the governance of such subsidies on firm productivity based on the analysis of a firm-level panel dataset between 1998 and 2007 in China. It is found that public R&D subsidies tend to support more productive firms and the productivity of these government-backed firms is improved further after they get the government support. Less attention is paid to the observable or measurable performance measurements in ex-ante project selection, and the ex-post effects are stronger when the governance of the public R&D subsidies becomes more decentralized due to an exogenous policy change. In other words, better decentralization of governance is associated with more pronounced effects of R&D subsidies. Identification concerns are addressed with various approaches to confirm the treatment effect of public R&D subsidies and the governance of such subsidies.     

How do firm characteristics affect behavioural additionalities of public R&D subsidies? Evidence for the Austrian transport sector

Interest of STI policies to influence the innovation behaviour of firms has been increased considerably. This gives rise to the notion of behavioural additionality, broadening traditional evaluation concepts of input and output additionality. Though there is empirical work measuring behavioural additionalities, we know little about what role distinct firm characteristics play for their occurrence. The objective is to estimate how distinct firm characteristics influence the realisation of behavioural additionalities. We use survey data on 155 firms, considering the behavioural additionalities stimulated by the Austrian R&D funding scheme in the field of intelligent transport systems in 2006. We focus on three different forms of behavioural additionality—project additionality, scale additionality and cooperation additionality—and employ binary regression models to address this question. Results indicate that R&D related firm characteristics significantly affect the realisation of behavioural additionality. R&D intensive firms are less likely to substantiate behavioural additionalities, while small, young and technologically specialised firms more likely realise behavioural additionalities. From a policy perspective, it may be concluded that direct R&D promotion of firms with a high R&D intensity may be misallocated. Attention of public support should be shifted to smaller, technologically specialised firms with lower R&D experience. The findings deliver important insights into interactions of public R&D support and R&D behaviour of firms operating in the Austrian transport sector, bearing significant implications for future policy designs.     

The impact of open innovation on firm performance: The moderating effects of internal R&D and environmental turbulence

Researchers have identified open innovation as two dimensions, external technology acquisition and external technology exploitation. This study explores the direct and interactive effects of these two dimensions on firm performance and further examines the moderation effects of two factors (i.e., internal R&D and environmental turbulence) on the relationship between both types of open innovation and firm performance. Based on Chesbrough's open innovation model, multi-item scales were developed to measure two dimensions of firm-level open innovation. Survey results of 176 Taiwanese high tech manufacturing firms provide support for most hypotheses. The result shows that external technology acquisition positively affects firm performance, whereas external technology exploitation does not. This study also finds that external technology acquisition strengthens the relationship between external technology exploitation and firm performance. Both external technology acquisition and external technology exploitation are positively related to firm performance under high internal R&D investment and a turbulent market environment. However, technological turbulence only positively affects the relationship between external technological acquisition, but not external technology exploitation, and firm performance. The findings contribute to enhanced understanding of how the degree of leveraging open innovation dimensions depends on their complementarity, internal R&D, and environmental turbulence.     

Firms' human capital,R&D and performance: a study on French and Swedish firms

This paper studies the effects of human and technological capital on productivity in a sample of large French and Swedish firms. While the role of technological capital as measured by R&D has been intensively investigated, almost no work has been done on the role of human capital as measured by firm-sponsored training and even less its interaction with technological capital. The level of intangible capital may also have a lasting effect on productivity growth, as emphasised by some endogenous growth models in a macroeconomic setting.The study uses data from two panels of large French and Swedish firms for the same period (1987–1993). It constructs measures of a firm's human capital stock, based on their past and present training expenditures. The results confirm that firm-sponsored training and R&D are significant inputs in the two countries, although to a different extent, and have high returns. However, except for managers and engineers in France, we do not find evidence of positive interactions between these two types of capital. Finally, growth effects at the firm level do not appear.     

Is R&D spending influenced by disinvestment and local political corruption? The case of Indian central public sector enterprises

The current study examines the effect of disinvestment (dilution of state ownership) and local political corruption on R&D spending in enterprises owned by the central government of India. Based on certain characteristic features of innovation as a strategy available to state-owned enterprises, I build two sets of hypotheses formalising the channels of how these variables may affect the possibility and amount of R&D. Data is drawn from multiple sources to compile a dataset that covers all manufacturing central government-owned enterprises in India over a period of ten years from 2007 to 2016. The study employs an instrumental variable technique to reduce the endogeneity between disinvestment and R&D decisions. We find that, while disinvestment and local political corruption have strong negative effects on whether a firm invests in R&D or not, it has no effect on the amount of R&D. In fact, the amount is driven by a host of firm-specific factors such as size, profit and proficiency of the share of skilled labor, managerial strength and non-unionisation of labor. We also find that the effects are strongly driven by the size of firms, special status awarded to firms and the ideology of the state where the enterprise operates.     

Real options game models of R&D competition between asymmetric firms with spillovers

Using real options game models, we consider the characterization of strategic equilibria associated with an asymmetric Research and Development (R&D) race between an incumbent firm and an entrant firm in the development of a new innovative product under market and technological uncertainties. The random arrival time of the discovery of the patent protected innovative product is modeled as a Poisson process. Input spillovers on the R&D effort are modeled by the change in the leader’s hazard rate of success of innovation upon the follower’s entry into the R&D race. Asymmetry between the two competing firms include sunk costs of investment, stochastic revenue flow rates generated from the product, and hazard rates of arrival of success of R&D efforts of the two firms. Under asymmetric duopoly, we obtain the complete characterization of the three types of Markov perfect equilibria (sequential leader–follower, preemption and simultaneous entry) of the firms’ optimal R&D entry decisions with respect to various sets of model parameters. Our model shows that under positive input spillover, preemptive equilibrium does not occur in the R&D race due to the presence of dominant second mover advantage. The two firms choose optimally to enter simultaneously if the sunk cost asymmetry is relatively small; otherwise, sequential equilibrium would occur. When the initial hazard rate is low relative to the level of input spillover, simultaneous entry would occur as an optimal decision, signifying another scenario of dominant second mover advantage. On the other hand, when the initial hazard rate is sufficiently high so that the first mover advantage becomes more significant, simultaneous equilibrium does not occur even under high level of positive input spillover.     

Research collaboration and R&D outsourcing: Different R&D personnel requirements in SMEs

The literature on ‘open’ innovation emphasises the need to engage in external knowledge relations in order to innovate. Particularly for SMEs, research cooperation and R&D outsourcing can offer possibilities to complement the often limited internal research resources. However, they also bring in their wake requirements in terms of absorptive capacity and managerial skills of the internal R&D personnel.The paper focuses on the different requirements in terms of availability and training of research managers and R&D experts for research cooperation versus R&D outsourcing in SMEs. An empirical analysis of micro-level data provided by the OECD business R&D survey for Belgium reveals that the relation between R&D personnel requirements and research collaboration and R&D outsourcing depends upon the SME size. Therefore, to study this subject appropriately a distinction between very small, small, and medium-sized firms is relevant. Very small firms engage significantly less in research cooperation than medium-sized firms and the propensity to engage in research cooperation is positively associated with the share of PhD holders among the research managers and R&D experts. For R&D outsourcing a lower involvement is noted in medium-sized firms, and the propensity to outsource increases with the formal qualification level of the R&D personnel and with R&D training. Among the SME, small firms are most engaged in research cooperation and in R&D outsourcing. In the case of research cooperation they rely on highly qualified experts. For R&D outsourcing activities both the presence of research managers and R&D experts is important.     

Industry evolution and R&D externalities

R&D externalities can imply ranges of aggregate increasing returns to scale in R&D. As a consequence several equilibria can exist involving different numbers of firms and different R&D investment levels. In a theoretical model the equilibrium dynamics are analyzed, showing that cyclical fluctuations of the number of firms and R&D investment may be expected, and that the long-run equilibrium is highly sensitive to investors' initial beliefs. The model is tested empirically using a unique database comprising competing firms in various R&D races.     

Issues in Assessing the Effect of Interindustry R&D Spillovers

This paper aims to clarify three issues concerning the weighting methodol ogy generally used to evaluate interindustry R&D spillovers. These issues concern the likely nature of the spillovers estimated through different types of supporting matrices; the similarity between input–output (IO), technology flows and technological proximity matrices; and the relevance of the assumption that a single matrix can be used for different countries. Data analyses of weighting components show that technology flows matrices are in an intermediate position between IO matrices and technological proximity matrices, but closer to the former. The various IO matrices, as well as the three technological proximity matrices, are very similar to each other. The panel data estimates of the effect of different types of interindustry R&D spillovers on industrial productivity growth in the G7 countries reject the hypotheses that a technology flows matrix can be approximated by an IO matrix and that a single IO matrix can be usedfor different countries. By transitivity, the procedure that comprises using a single technology flow for several countries is not reliable. The international comparison shows that each country benefits from different types of R&D externality. In Japan and, to a lesser extent, in the US, the rate of return to direct R&D is very high and is likely to compensate for relatively weak interindustry R&D spillover effects. In the five other industrialized countries, the reverse observation is true: strong social rates of return to R&D counterbal ance the poor performances of direct R&D.     

On the R&D/marketing interface in knowledge intensive entrepreneurial firms

In this paper we focus on the performance impact associated with whether R&D or marketing takes the lead in product innovations and/or product development. We examine empirically the performance of a sample of entrepreneurial firms across 10 European Union countries for which we can identify alternative regimes in which R&D, or in which marketing, is viewed as being relatively more important in creating and sustaining the firm’s competitive advantage. We find that when R&D is the dominant strategy, firms realize greater growth in sales, other factors held constant.     

Learning from R&D outsourcing vs. learning by R&D outsourcing

We analyze how research and development (R&D) outsourcing influences product innovation. We propose a separation between learning from R&D outsourcing, whereby the firm improves its ability to innovate by using outsourced R&D directly in new products, from learning by R&D outsourcing, whereby the firm indirectly uses outsourced R&D by integrating it with internal R&D to create new products. Building on the knowledge-based view, we argue that learning from R&D outsourcing is likely to have an inverse U-shaped relationship with product innovation, because the initial benefits of using outsourced component R&D knowledge to innovate products is eventually outweighed by the hollowing out of the firm's ability to innovate. In contrast, we propose that learning by R&D outsourcing is likely to have a U-shaped relationship with product innovation, because the initial challenges of integrating internal and external R&D are eventually overcome, resulting in more innovations. Finally, we distinguish between domestic and foreign R&D outsourcing and propose a liability of foreignness in R&D outsourcing as it has a lower impact on new products than domestic R&D outsourcing. The empirical analysis shows that outsourced R&D has an inverted U-shaped relationship with the number of new products, while the interaction between outsourced R&D and internal R&D has a U-shaped relationship with the number of new products. It also shows that domestic outsourced R&D has a higher positive impact on the number of new products than foreign outsourced R&D.     

Managerial incentives and R&D investments: The moderating effect of the directors’ and officers’ liability insurance

Literature regarding the impact of managerial incentives on firm’s research and development (R&D) investments suggests that due to the riskiness of R&D activities, firms need to provide managerial incentives to encourage managerial discretion on corporate long-term investments of R&D. In spite that managerial incentives influence corporate R&D spending, some also argue corporate R&D spending a function of managerial incentive schemes. This paper applies the simultaneous equation to investigate the association between managerial discretion on R&D investments and the incentive scheme of CEO compensations by using the sample firms listed in Taiwan Security Exchange and Taipei Exchange. The results indicate that the listed firms in Taiwan simultaneously determine corporate R&D investments and CEO compensations. They reward their CEOs in compliance with their efforts on R&D investments and CEO compensation motivates CEOs to align their interests with firms’ long-term investments on R&D. A further analysis of the protection effect from the directors’ and officers’ (D&O) liability insurance suggests that D&O protection intensifies the relationship between R&D investments and CEO compensation. It encourages CEOs to allocate resources on R&D activities and make CEO incentive contracts efficacious on corporate long-term investments. The result is robust in the electronic industry of Taiwan.     

Contributions and Channels of Interindustry R&D Spillovers: An Estimation for Japanese High-tech Industries

This paper estimates the contributions of R&D spillovers to four high-tech industries in Japan—general machinery, electrical machinery, transportation machinery and chemicals—by estimating the trans-log cost and share functions that include the R&D stock variables of own and spillover-source industries. The candidates for spillover- source industries are selected on the basis of large R&D flow or R&D proximity. The R&D flow measures the spillover embodied in purchased intermediate goods using input–output coefficients. The R&D proximity measures the extent of similarity between a pair of industries of the distribution of R&D expenditures across research fields, and is expected to show the likelihood of spillover at the R&D stage. The results suggest that electrical machinery benefited from R&D in the chemical industry, through the purchase of intermediate goods, whereas general machinery and transportation machinery benefited from R&D in the metal products industry, through R&D proximity. There was no evidence of the chemical industry benefiting from R&D spillovers. These results clearly imply that the contributions and the channels of R&D spillovers are diverse, casting doubt on earlier studies that used weighted sums of R&D expenditures (or their stocks) of other industries as aggregate spillover variables.     

Collaboration in Multi-Partner R&D Projects: The Impact of Partnering Scale and Scope

How can firms design collaboration structures for effective performance in R&D projects that involve multiple partners? To address this question, we examine the theoretical underpinnings of collaboration structures in multi-partner R&D projects—i.e., the scale and the scope of partnering efforts. Partnering scale captures the extent of resource interdependencies between a firm and its partners; partnering scope captures both the breadth and depth of the interdependencies between a firm and its partners. Using primary data from 147 multi-partner R&D projects, we develop and test hypotheses that examine the impact of partnering scale and scope decisions on partnering performance. Results indicate that partnering scale has a curvilinear relationship with partnering performance. That is, intermediate levels of partnering scale are associated with higher partnering performance, compared to low or high levels of partnering scale. However, we also find that the nature of this relationship is moderated by the sub-dimensions of partnering scope. Specifically, increase in partnering breadth appears to magnify the negative effect of partnering scale on performance. In contrast, increase in partnering depth appears to overcome this negative effect, allowing firms to operate at higher levels of partnering scale. Taken together, these results highlight the importance of adopting a comprehensive approach to designing collaboration structures for multi-partner R&D projects.     

The effect of R&D novelty and openness decision on firms' catch-up performance: Empirical evidence from China

This paper explores the strategic dimensions of R&D decisions toward novelty and openness in explaining the performance of latecomer firms in a developing economy. A structural equation model of R&D decision-making is formulated using survey data from 279 Chinese firms. The dimension of R&D novelty is defined as the degree of technological newness found in firms' R&D projects, while R&D openness describes the degree to which technologies are acquired from external sources. Our results indicate that firms' R&D decisions regarding novelty and openness are associated with demand opportunities, market competition, technological capability, and external networks. Greater R&D novelty contributes positively to innovative output but does not affect sales growth. Greater R&D openness contributes positively to sales growth but negatively to innovative output.     

Technology ladders and R&D in dynamic Cournot markets

Motivated by dramatic and unpredictable technological advances in energy production (for instance drilling and extraction of shale oil), we extend Cournot models of competition to incorporate research and development (R&D) that can lead to (stochastic) drops in production costs. Our model combines features of patent racing with dynamic market structure, capturing the interplay between the immediate competition in terms of production rates and the long-term competition in R&D. The resulting Markov Nash equilibrium is found from a sequence of one-step static games arising between R&D successes, and several numerical examples and extensive analysis of the emerging comparative statics are presented. Analyzing the relationship between current market dominance and the level of R&D investments, we find that market leaders tend to invest more, which in some sense makes oligopoly dynamically unstable. We show that anticipated market transitions have long-term impact; for example the potential of future monopoly can spur R&D investment now, even if the firm is presently uncompetitive and not actively producing. We also show that, surprisingly, random innovations have an ambiguous effect on R&D. This feature, which is driven by the Cournot framework, contrasts with the common situation whereby uncertainty lowers innovation and delays R&D investments. Finally, we demonstrate that increased competition may actually increase efforts to innovate through higher desire to achieve dominance. This would match the anecdotal evidence that the threat of market entrants forces incumbents to maintain high R&D.     

MNEs,technological efforts and channels of export spillover: An analysis of Indian manufacturing industries

The present study provides some empirical evidence for the export spillover effect examining the case of an emerging market economy, namely India, using firm level data for the period 1994–2006. We disentangle different spillover channels, namely the demonstration effect, the imitation effect (R&D spillover) and a proxy to measure spillover effects coming from higher MNEs’ skills. We also account for the heterogeneous technological behaviour of local firms considering how in-house R&D efforts and disembodied technological imports may affect the exporting performance. Our findings show how export spillover effects are mainly mediated by an imitation effect, contrary to the case of other emerging market economies like China, where a demonstration effect is evident. We also recognise that both the decision to export and export intensity are influenced most of all by the technological activities of local firms. Moreover, the findings of the analysis suggest that in-house R&D is more relevant than other external sources of technological knowledge such as disembodied technology imports to internalise the positive spillover effect emanating from MNEs.     

Internationalization of R&D and Operations in Dominant Product U.S. Firms

Abstract

An empirical study of a sample of 38 U.S. dominant product firms operating in manufacturing industries was undertaken to trace the patterns of internationalization of R&D and operations. First, the results of our analysis revealed that internationalization of R&D and operations were a significant part of the evolving internationalization strategies of the dominant product firms we studied. Second, while internationalization of operations was influenced by international configuration via global standardization, the internationalization of R&D was influenced by international configuration via national responsiveness and by competitive positioning via differentiation. Third, the results highlight the fact that the internationalization moves of dominant product firms are not all similar, but depend on the international configuration and competitive positioning pursued by the firms.     

Macroeconomic effects of R&D tax credits on small and medium enterprises

Research and development (R&D) is regarded as a core factor for the long-run performance of both large enterprises (LEs) and small and medium-sized enterprises (SMEs). This paper analyzes the economic effects of R&D tax credits by firm size. It mainly aims to compare the results of tax policies oriented towards LEs to those towards SMEs. In order to estimate the impact numerically, we use a computable general equilibrium model, which incorporates some essential characteristics of knowledge. First, we introduce a social accounting matrix that differentiates between SMEs and LEs in manufacturing industries. Then, a knowledge-based macroeconomic model estimates outcomes for policy scenarios regarding tax incentives. The results show that SMEs support more rapid growth than do LEs when the same volume of tax credits is offered to both enterprise types. We suggest that the intensity of knowledge spillovers induced by SMEs is driving this result.     

Myth or reality? Assessing the moderating role of CEO compensation on the momentum of innovation in R&D

This study researches the influences of CEO compensation on firm behavior to examine the interactive relationship between the behavioral momentum of innovation in R&D and CEO compensation. The models presented in this study are based on evolutionary, institutional, and agency theories to test hypotheses using data from 107 companies in the high-technology sectors in the United States. The results indicate that the pre-succession innovative behavior of these high-technology firms on R&D can positively affect these firms' post-succession innovative behavior towards R&D. That is, positive momentum in R&D innovation prevails in a firm across a change of the CEO. However, for the role of CEO compensation, short- and long-term compensation does not positively moderate this behavioral momentum in R&D. Hence, the moderating impact of short- and long-term CEO compensation to enhance the momentum of innovation in R&D can be romanticized. These findings provide boards of directors with evidence as to how a CEO succession matters to a firm's behavioral momentum in R&D, and whether CEO compensation can be strategized to change a firm's innovation and momentous behavior.