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.     

Impact assessment based sectoral balancing in public R&D project portfolio selection

Government funding agencies spend significant amounts of R&D funds through funding programs. While allocating funds among sectors or scientific disciplines, the Decision Maker (DM) wants to maximize the total impact by supporting R&D activities in those sectors with higher scientific, social and economic return. On the other hand, the DM wants to balance the funding budget over sectors or disciplines. In this study, we incorporate the results of “sectoral impact assessments” into the public R&D project portfolio selection (RDPPS) problem. We develop a two-stage model. In the first stage, we make sectoral budget allocation decisions to maximize the total impact of the budget while ensuring a relative balance among sectors. In the second stage, we maximize the total score of supported projects under allocated sectoral budgets. We illustrate the proposed approach on an example problem. We show the value of the proposed approach by comparing our results with alternative policy options.     

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.     

The differential effects of public R&D support on firm R&D: Theory and evidence from multi-country data

This paper aims to evaluate the effects of various forms of public research and development (R&D) support on firms’ incentives to invest in R&D. First, in order to identify potential channels through which public R&D support influences firm R&D, a formal model of firm R&D with public R&D support is developed and analyzed. Four potential channels are identified: the technological-competence-enhancing effect, the demand-creating effect, the R&D-cost-reducing effect and the (project) overlap (or duplication) effect. These multiple channels indicate that it is difficult to evaluate the aggregate effect of public R&D support and that there are differential effects of public R&D support on firm R&D, depending on various firm- or industry-specific characteristics. Second, the differential effects of public R&D support are empirically tested using unique firm-level data for nine industries across six countries. Public support tends to have a complementarity effect on private R&D for firms with low technological competence, for firms in industries with high technological opportunities and for firms facing intense market competition. In contrast, firms with high technological competence and firms that have enjoyed fast demand growth in recent years show a crowding-out effect, and firm size and age do not show any discernible differential effect.     

How do firms perceive policy rationales behind the variety of instruments supporting collaborative R&D? Lessons from the European Framework Programs

The main objective of the paper is to analyze to which extent participation in public programs supporting collaborative R&D meets the goals pursued by policy makers when setting up such instruments. Theoretically, these policy instruments are designed to overcome a set of failures (market and systemic failures) impeding the innovation process. We use as an example in the empirical part the European Framework Programs (FP) 5 and 6, which include a large and representative range of instruments. Each of these FP instruments is characterized according to the set of failures it is supposed to solve, its objectives and characteristics, and we discuss how these aspects are perceived and exploited by participating companies. Using data collected in the Innoimpact survey, involving thousands of FP5 and FP6 project participants, we compare the motivations of firms in choosing these instruments with our theoretical predictions. We find that the motivation to participate in a FP project does not differ greatly from one instrument to the other and the characteristics of the projects do not exhibit major differences. The paper concludes with some policy recommendations.     

Selecting balanced portfolios of R&D projects with interdependencies: A Cross-Entropy based methodology

The intensive growth of technology makes firms rely on research and development (R&D) activities in order to adapt to technology changes in an ever-changing and uncertain environment. Due to R&D budget constraints and limited resources, firms are often forced to select a subset of all candidate projects by means of project portfolio selection techniques mitigating the corresponding risks and enhancing the overall value of portfolio. Projects' interdependencies and types were rarely considered in existing models of R&D portfolio selection that may result in selecting wrong projects. This flaw hinders the projects alignment with corporate objectives and strategy and leads to excessive risk and missing the promised values. In this paper, a balanced set of R&D project evaluation criteria was proposed. Next, to construct R&D project portfolio, a 0–1 nonlinear mathematical programming method for balancing portfolio values and risks was proposed, in which research projects' interdependencies, types and other constraints were all considered. Finally, a Cross-Entropy algorithm was developed to solve the proposed model and results were reported. The algorithm proved to be very effective in terms of solution quality and computational time. The proposed algorithm especially suits large scale instances while exact approaches are doomed to fail.     

Weak Property Rights and Holdup in R&D

We study how the sequence of financing of R&D varies according to the ease with which property rights over knowledge can be defined. There are two financiers: a venture capitalist (VC) and a corporation. The knowledge acquired in costly research becomes embodied in the researcher's human capital, and she may hold up the financier and walk away with the project to develop it elsewhere. The main results are: (1) When property rights are strong, research is always funded by the VC, development is performed efficiently, and breakaways from the VC to the corporation are observed in equilibrium. (2) When property rights are weak, projects may be financed by the VC or the corporation, or may remain unfunded. (3) When property rights are weak, no breakaways occur in equilibrium; local spillovers and strong product market competition increase the likelihood that research projects will get funding. (4) The equilibrium sequence of R&D finance need not be first-best efficient. (5) In equilibrium, and controlling for the strength of property rights, VCs finance projects that are more profitable on average.     

The contribution of research and innovation to productivity

This paper examines the impact of investment in research and innovation on Australian market sector productivity. While previous studies have largely focused on a narrow class of private sector intangible assets as a source of productivity gains, this paper shows that there is a broad range of other business sector intangible assets that can significantly affect productivity. Moreover, the paper pays special attention to the role played by public funding for research and innovation. The empirical results suggest that there are significant spillovers to productivity from public sector R&D spending on research agencies and higher education. No evidence is found for productivity spillovers from indirect public funding for the business enterprise sector, civil sector or defence R&D. These findings have implications for government innovation policy as they provide insights into possible productivity gains from government funding reallocations.     

Influence of partner diversity on collaborative public R&D project outcomes: A study of application and commercialization of nanotechnologies in the Netherlands

Several studies have indicated the importance of public R&D in the transfer and commercialization of nanotechnology. So far, few have focused on university–industry interaction and collaboration performance. In this study, we investigate the impact of technological diversity and value chain complementarity of partners on public nanotechnology R&D projects' performance. We enriched a database on the commercial outcomes of technology research projects from the Dutch Technology Foundation STW. To test our hypotheses, we selected 169 nanotechnology research projects from the database, which started in a five-year period from 1998 until 2003. Project performance was measured five years after completion of the project. Technological diversity has a U-shaped effect on the projects' commercial performance. Findings show a strong positive impact of value chain complementarity of partners on both application development and commercial performance of the projects.. The framework introduced in this study allows an evaluation of the effects of technological diversity and value chain complementarity on application development and the commercial performance of public R&D projects.     

Managerial Complexity in Process Industrial R&D Projects: A Swedish Study

Process industries often have features that differ from other businesses, such as round‐the‐clock production and costly and specialized production processes—features that have not been dealt with in the project management literature. We highlight and identify the complexity of R&D projects in the Swedish process industry and its interrelated process development and product development activities based on results from interviews and a case study. The different competence areas in which a project manager must integrate and manage R&D projects is illustrated. We conclude that a project manager needs both production and product‐related competence, including customers' processes.     

Innovating Beyond the Horizon: CEO Career Horizon,Top Management Composition,and R&D Intensity

Decreasing research and development (R&D) can impair the ability of firms to remain innovative in the long run. CEOs have been accused of curtailing R&D investments as they approach expected retirement, yet received findings on R&D investment behaviors of late‐career CEOs are mixed. We argue that one reason for these inconsistent findings could be that traditional approaches overlook the fact that CEOs are not isolated agents in making R&D decisions. We build on the premise that CEOs interact with their top management team (TMT) when shaping R&D strategy and advance a contextualized view of CEO dispositions in their late career stages as being constrained or enabled by their TMT. We hypothesize that some TMT attributes (e.g., tenure and age) may amplify, whereas others (e.g., functional experience and education) may mitigate inclinations to reduce R&D. Our findings, based on a longitudinal sample of 100 US manufacturing firms from 1998 to 2008, provide nuanced insights into how different TMT characteristics influence CEO‐TMT dynamics, with TMT age and TMT tenure playing particularly pronounced roles. We discuss implications of our CEO‐TMT interface approach for theory and practice. © 2015 Wiley Periodicals, Inc.     

Endogenous research and development spillovers and asymmetric firms

We examine an asymmetric research and development (R&D) duopoly, where firms differ in their research and development productivity, one firm being technologically advanced. We find that both firms can benefit and increase their profitability by entering into a voluntary information sharing agreement despite their asymmetry and highlight the conditions needed for such an agreement to take place.     

Financial Constraints: Routine Versus Cutting Edge R&D Investment

We analyze financial constraints on R&D, where we account for heterogeneity among investments that has been neglected in previous literature. According to economic theory, investments should be distinguished by their degree of uncertainty, e.g. routine R&D versus cutting‐edge R&D. Financial constraints should be more binding for cutting‐edge R&D than for routine R&D. Using panel data we find that R&D spending of firms devoting a significant fraction of R&D to cutting‐edge projects is curtailed by credit constraints while routine R&D investments are not. This has important policy implications with respect to the distribution of R&D subsidies in the economy.     

How does knowledge depth moderate the performance of internal and external knowledge sourcing strategies?

Management literature has consistently shown that knowledge is the most important source of competitive advantage for a firm. However, it is still not clear how knowledge can lead to competitive advantage, and how firms can find strategies to leverage their knowledge bases. This study considers the strategic implications of knowledge depth and three knowledge-sourcing strategies: R&D, strategic alliances and acquisitions. The main and interaction effects of these factors were tested in the context of the US technology firms. The results confirmed the strategic role of knowledge and external leveraging strategies. We also found that technology firms with weak knowledge depth should focus on internal R&D to accumulate knowledge in core technology areas, while those with strong knowledge depth should lower internal R&D intensity and shift their strategic resources to inter-firm alliances and acquisitions.     

From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter?

This paper presents estimates of the long-term impact of various sources of knowledge (R&D performed by the business sector, the public sector and foreign firms) on multifactor productivity growth of 16 countries from 1980 to 1998. The main results show that the three sources of knowledge are significant determinants of long-term productivity growth. Further evidence suggests that several factors determine the extent to which each source of knowledge contributes to productivity growth. These factors are the absorptive capability, the origin of funding, the socioeconomic objectives of government support, and the type of public institutions that perform R&D.     

Uncertain outlays in time-to-build problems

In this paper we analyze investment projects in which there is uncertainty in the total investment cost in addition to uncertainty in the completed project value. We deal with an uncertain time-to-build. Uncertainties in investment cost are quite common in long-term, large-scale, path-breaking undertakings such as some R&D projects. We find that the inclusion of uncertainty in investment cost tends to mitigate the impacts of the uncertainty of completed project value. The implications of the results are significant. First, when uncertainty of investment cost is ignored, the value of the project is underestimated and a tendency toward underinvestment will result; and second, the existence of uncertainty in investment cost will cause long-term projects to require larger declines in value before discontinuation of investment should occur.     

Knowledge Networks and Careers: Academic Scientists in Industry–University Links*

abstract Careers are central to our understanding of the knowledge creation dynamics of network organizations. Based on the example of R&D project collaboration between firms and universities, this paper examines the emerging forms of career models that support knowledge flows between organizations. It explores how some large firms in the high‐technology sectors have sought to break away from the limitations of internal R&D and firm‐based careers for scientists by engaging in external collaborative projects to gain access to the open knowledge networks of university researchers. It examines how the firms seek to forge close institutional ties with their university partners and develop network career structures in order to engage academic scientists in joint knowledge production. It argues that firms have sought to extend their human resource and knowledge boundaries into the established internal labour markets of the universities with which they collaborate, leading to the formation of a pool of joint human resources with work experiences and career patterns straddling the two sectors. The paper develops the concept of an ‘overlapping internal labour market’ to provide a conceptual bridge between internal labour markets and network organizations.     

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.     

R&D and Tobin's q in an emerging financial market: the case of the Athens Stock Exchange

This paper aims at providing further evidence on the consequences of R&D investment on Tobin's q for firms publicly traded in an emerging financial market. Panel data methodology is applied using data for the manufacturing and computer firms listed in the Athens Stock Exchange, a market classified as emerging by the major securities analysts, for the period 1996–2004. The empirical findings show first, that the Greek firms' R&D investment effect on the market value of a firm is consistent with other US and European studies. Second, the impact of the R&D investment on the market value is higher for small firms. The findings of this paper may have significant industrial and technological policy implications for other emerging markets sharing similar characteristics to Greece. Copyright © 2010 John Wiley & Sons, Ltd.     

The impact of cluster connectedness on firm innovation: R&D effort and outcomes in the textile industry

Recent research into the clustering effect on firms has moved away from a simplistic view to a more complex approach. More realistic and complex causal relationships are now considered when analysing these territorial networks. Specifically, this paper attempts to analyse how cluster connectedness moderates the relationship of a firm's innovation effort and the results obtained from this effort. We want to question the commonly accepted direct and positive impact of R&D effort, and moreover, we suggest the existence of a saturation effect and that the level of cluster's inter-connectedness in the cluster moderates this effect. We have developed our empirical study focusing on the Spanish textile industrial cluster. This is a complex manufacturing industry that uses relatively low-technology manufacturing and R&D. Our findings suggest that the degree to which a firm is involved with, or connected to, other firms in the cluster can moderate the effect of the R&D effort on its innovation results. More generally, we aim to contribute to the discussion on the degree to which firms should be involved in the cluster network in order to operate efficiently and gain the maximum competitive advantages. Our findings have implications both in recent cluster and network literature as well for institutional policy.