The R&D knowledge base in city-agglomerations and knowledge searching in product innovative SMEs

ABSTRACT

This paper looks at the relation between the R&D knowledge base of city-agglomerations and knowledge sourcing in product innovative small and medium-sized enterprises (SMEs). The small open Belgian economy is used as a test case. The characteristics of the city-agglomeration’s R&D knowledge are posited to be instrumental for SMEs’ reliance on particular sources of information for innovation. The R&D knowledge base is studied as a multidimensional concept consisting of R&D capacity, R&D specialization and R&D diversification. A representative sample of product innovative SMEs drawn from two waves of the Community Innovation Survey between 2008 and 2012 reveals that a strong R&D capacity at city-agglomeration level favours private external information sources for innovation, but has no influence on the likelihood to rely on public sources for innovation. Accordance between specialization of the private R&D knowledge base and the SME’s activities positively influences the use of clients as information sources for innovation, whereas under these circumstances supplier responsiveness turns out to be less frequently solicited for. A more diversified private R&D environment reduces the reliance on universities and public research organizations as information sources for innovation. A public R&D knowledge base specialized in natural sciences or engineering favours information sources from universities.     

Making sense of innovation by R&D and non-R&D innovators in low technology contexts: A forgotten lesson for policymakers

This paper attempts to use an integrated theory based on the framework of a firm's internal and external sources of knowledge to analyze how R&D activities differ in innovation from non-R&D activities, especially in the context of low and medium-low tech (LMT) sectors where most of the firms are SMEs. Simultaneously, the paper also explores the key differences between R&D and non-R&D innovators. The empirical analysis is based on a representative panel of 2023 Spanish manufacturing firms from the Spanish Ministry of Industry for 2005 and 2006. Innovation in product and process is explained using non-R&D variables such as marketing, design or the hiring of tertiary degree employees. Only innovation in product is explained by R&D expenditures. Regarding innovation in process, the R&D variables work in a few specific cases. Therefore, innovation can be explained using non-R&D variables. The firms with more internal resources, those which conduct R&D activities, present a better absorptive capacity (AC) and this leads them to engage in cooperation agreements and to access external flows of knowledge. The paper has important implications for policymakers due to the fact that most policies for R&D are based just on R&D programmes.     

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.     

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.     

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.     

R&D cooperation and unintended innovation performance: Role of appropriability regimes and sectoral characteristics

This research empirically examines the relation between R&D cooperation and unintended innovation performance. The effects of appropriability and sectoral conditions on the unintended innovation performance in the context of R&D cooperation were also tested. Binary logistic regression was used to analyze the manufacturing firms sampled from the Korea Innovation Survey (KIS) 2012. Our estimation results show that for the high-tech focal firms under strong appropriability regime, cooperation with competitors increases the likelihood of their unintended innovation performance. For the high-tech focal firms under weak appropriability regime, cooperation with customer and user firms and universities increases the likelihood of their unintended innovation performance. For the low-tech firms under strong appropriability regime, cooperation with the customer and user firms and advisory organizations increases the likelihood of unintended innovation performance. For the low-tech firms under weak appropriability regime, cooperation with competitors and government research institutes increases the likelihood of unintended innovation performance. As a whole, the significance of this paper lies in shedding a new light on approaching the innovation performance with the notion of unintended innovation performance, which is shaped by different partner types and environmental conditions.     

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.     

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 effects of public support schemes on small and medium enterprises

In this paper we will investigate the effects of direct grants and tax incentives on recipient small and medium enterprises (SMEs). Direct grants and tax incentives are two different public instruments used to correct market failure and facilitate innovation through lowering the cost of R&D. Although large and small firms innovate in different ways, so far limited empirical evidence has been reported with respect to the effectiveness of public R&D instruments for SMEs. Our data suggests that direct subsidies used alone or with tax incentives strengthen the R&D orientation of the SME as well as some aspects of innovation output and absorptive capacity. Although the effects of policy measures are significant when comparison is made to firms that did not use any of the two instruments, not much difference is found when users of direct grants are compared to those who used both the grants and the tax incentives. This result indicates the existence of limitations in the use of tax incentives by SMEs, and thus suggests that subsidies may be the primary instrument in SMEs.     

Evaluating innovation policies: The German experience

Until recently, evaluations of technology policy were rare in the Federal Republic of Germany. Activities of this type on a larger scale were not started until the early eighties. Most of the evaluations performed concerned government incentives for small and medium-sized enterprises (SME). The main areas of research and development (R & D) and innovation promotion in small and medium-sized firms are the improvement of the capability and propensity to do in-house R & D, intensified cooperation in R & D between industrial firms and research establishments, the provision of more venture capital, and improved technology transfer. The underlying assumption is that these firms have bottlenecks, in particular in financing, in the personnel sector, and in obtaining information. A number of the existing support programs has meanwhile been investigated; the results of these investigations are covered in this paper. Initially, the underlying concept of impact analysis is outlined. Next, examples are presented of evaluations of general R & D funding measures, of grants for specific projects, of the debate about the most suitable instruments of promoting R & D in SME, and of technology transfer. Finally, some implications arising from the results of these analyses for technology policy in the Federal Republic of Germany are discussed.     

Emergence of innovation networks from R&D cooperation with endogenous absorptive capacity

This paper extends the existing literature on strategic R&D alliances by presenting a model of innovation networks with endogenous absorptive capacity. The networks emerge as a result of dynamic cooperation between firms occupying different locations in the knowledge space. Partner selection is driven by absorptive capacity which is itself influenced by cognitive distance and R&D investment allocation. Under different knowledge regimes, we examine the structure of networks that emerge and how firms perform within such networks. We find networks that exhibit small world properties which are generally robust to changes in the knowledge regime. Certain network strategies such as occupying brokerage positions or maximising accessibility to potential partners pay off, especially in ‘young’ industries with limited involuntary but abundant voluntary spillovers. This particular result is driven by endogenous absorptive capacity.     

The negative impact of R&D capitalization: A value relevance approach

Abstract

Accounting for R&D costs is an open issue. SFAS N°2 mandates that all R&D costs must be immediately expensed. IAS 38 requires capitalization of R&D costs if they meet certain criteria. Recent research papers show the value relevance of capitalized R&D. We test the value relevance of R&D reporting in a sample of 197 French firms between 1993 and 2002. The French context provides an interesting field for R&D value relevance studies because both accounting treatments of R&D costs (expensing and capitalization) are allowed. Unlike previous studies, we find that capitalized R&D is negatively associated with stock prices and returns. This negative coefficient on capitalized R&D implies that investors are concerned with and react negatively to capitalization of R&D. We also find that the firms choosing to capitalize (successful) R&D are smaller, more highly leveraged, less profitable and have less growth opportunities. Taking into account these characteristics, our robustness checks confirm that capitalized R&D is not associated with higher prices and is related to lower returns.     

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.     

Size and value effects in high-tech industries: The role of R&D investment

We use monthly US stock data over 55 years from 1962 to 2017 to show that the R&D intensity at firms adds another important dimension to the size and value effects in describing stock returns, especially for small high-tech firms. A trading strategy that double sorts on R&D intensity and size or book-to-market ratio outperforms a simple small-minus-big (SMB) or high-minus-low (HML) strategy in producing higher and more significant portfolio returns. The most profitable schemes involve triple sorts by size, BM, and R&D intensity: the payoffs of buying high-BM/R&D-Active portfolio and selling low-BM/R&D-Inactive portfolio in the small-size/high-tech group and that of buying high-tech/high-BM and selling low-tech/low-BM in the small-size/R&D-active group generate a return of more than 2% on a monthly basis. Our results are robust to alternative classification method of assigning stocks in portfolios.     

Dynamics in research joint ventures and R&D collaborations

We investigate the short- and long-term effects of different types of R&D collaborations on firms, consumers, and the industry. To that end, we consider a differentiated-product market in which firms compete à la Bertrand and invest in process innovation in order to lower the production cost over time. Investments are stochastic and there can be cartelization or competition strategies among firms at the moment of making the decision on the amount to invest in R&D. Our results show that in equilibrium, the long-run welfare is larger under a research joint venture than under other environments. Discounted present value profits increase with the level of the spillover but there are asymmetries that depend on the firms’ asymmetry on marginal costs.     

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.     

Managing change in pharmaceutical industry R&D

Pharmaceutical R&D is a substantially multi-disciplinary activity matrix in organizational form and generally a high risk activity, both on account of the high uncertainty of its outcome and the considerable lead times involved. The author identifies several points about the background to research in this industry which underline the high requirement for adaptability and capacity to generate and manage change.Key aspects about modes of responding to these pressures for change are reviewed, particularly from a staff and organizational development point of view, at three levels of R&D: the individual, management/teams and the organization. A number of significant themes at each level are commented on in Fisons Pharmaceuticals R&D, and their relevance to recently published ideas.Dominant themes at all levels include the need for effective communication, the need for flexibility on the part of individual staff, managers and senior managers, and the overall need for the awareness of large systems and the limitation they impose.The author expresses concern that with the burgeoning number of publications on the subject of R&D management, effort must be made to counter a prevailing tendency to overgeneralise ideas and conclusions too widely across industries. More effort should be given to observing individual influences and themes within an industry since the resultant effect of different factors may be specific to an individual company.     

Different dimensions of knowledge in cooperative R&D projects of university scientists

An increasing speed of new knowledge generation and a growing specialization of individuals in specific fields make cooperative R&D projects indispensable to stay abreast of the latest technological developments. However, studies targeting this field of research have almost exclusively focused on industrial cooperation projects, neglecting the importance of academic R&D collaboration.We attempt to address this research gap by investigating completed R&D cooperation projects of 376 German professors of the chemical and biological sciences. Based on their evaluation, we can distinguish between successful and less successful projects mainly involving explicit or tacit knowledge. We further characterize these groups by identifying significant group differences regarding trust, the interdependency between partners, the frequency of communication and the closeness of partners. Overall, our study presents new empirical evidence that the codification of knowledge plays an important role for the success of cooperative R&D projects.     

R&D Cuts and Subsequent Reversals: Meeting or Beating Quarterly Analyst Forecasts

Abstract

Among firms that meet or beat earnings expectations, we find that cuts to R&D spending are more prevalent in Q4 relative to other interim quarters. This is consistent with the relative costs of real-activities management (accruals-based earnings management) decreasing (increasing) in Q4 due to the annual audit. More importantly, we find that the subsequent reversal of such R&D cuts is more prevalent and economically more significant following Q4 cuts relative to the reversals that follow cuts in other interim quarters. Our findings suggest that examination at the quarterly level (rather than annual level) lends new insights into the current debate regarding the prevalence of potentially value-destroying R&D cuts that managers make. Indeed, our findings suggest that some cuts may merely be temporary deferrals of R&D outlays.     

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.