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.     

Absorptive capacity—one size fits all? A firm‐level analysis of absorptive capacity for different kinds of knowledge

This paper empirically analyzes the effect of R&D activities, human resource and knowledge management, and the organization of knowledge sharing within a firm on the absorptive capacity of innovative firms for three different types of knowledge, namely absorptive capacity to use knowledge from a firm's own industry, knowledge from other industries and knowledge from research institutions. Using data from the German innovation survey, we investigate how firms are able to exploit knowledge from external partners for successful innovation activities. The estimation results show that the determinants of absorptive capacity differ with respect to the type of knowledge absorbed for innovation activities. In particular, we find that the R&D intensity does not significantly influence absorptive capacity for intra‐ and inter‐industry knowledge. Additionally, our results suggest that absorptive capacity is path dependent and firms can influence their ability to exploit external knowledge by encouraging individuals' involvement in a firm's innovation projects. Copyright © 2009 John Wiley & Sons, Ltd.     

Building absorptive capacity to organise inbound open innovation in traditional industries

The discussion on open innovation suggests that the ability to absorb external knowledge has become a major driver for competition. For R&D intensive large firms, the concept of open innovation in relation to absorptive capacity is relatively well understood. Little attention has; however, been paid to how both small firms and firms, which operate in traditional sectors, engage in open innovation activities. The latter two categories of firms often dispose of no, or at most a relatively low level of, absorptive capacity. Open innovation has two faces. In the case of inbound open innovation, companies screen their environment to search for technology and knowledge and do not exclusively rely on in-house R&D. A key pre-condition is that firms dispose of “absorptive capacity” to internalise external knowledge. SMEs and firms in traditional industries might need assistance in building absorptive capacity. This paper focuses on the role of collective research centres in building absorptive capacity at the inter-organisational level. In order to do so, primary data was collected through interviews with CEOs of these technology intermediaries and their member firms and analysed in combination with secondary data. The technology intermediaries discussed are created to help firms to take advantage of technological developments. The paper demonstrates that the openness of the innovation process forces firms lacking absorptive capacity to search for alternative ways to engage in inbound open innovation. The paper highlights the multiple activities of which absorptive capacity in intermediaries is made up; defines the concept of absorptive capacity as a pre-condition to open innovation; and demonstrates how firms lacking absorptive capacity collectively cope with distributed knowledge and innovation.     

Determinants of spatial knowledge spillovers in Italian provinces

Statistical evidence suggests that the relevance of knowledge spillovers has increased over time. In this paper we focus on regional knowledge spillovers and adopt a new econometric transformation that allows inference on potential inter-regional knowledge spillovers, accounting for spatial interdependencies.Determinants of inter-regional knowledge spillovers are explained with a sample of 103 Italian provinces. We find that a region’s absorptive capacity, measured by local R&D expenditure and social capital, implies a reduction of outward knowledge spillovers.Identification is based on the use of Two Stages Least Squares and Fixed Effects estimates.     

Strategic location choice under dynamic oligopolistic competition and spillovers

This paper investigates firms׳ optimal location choices explicitly accounting for the role of inwards and outwards knowledge spillovers in a dynamic Cournot oligopoly with firms that are heterogeneous in their ability to carry out cost-reducing R&D. Firms can either locate in an industrial cluster or in isolation. Technological spillovers are exchanged between the firms located in the cluster. It is shown that a technological leader has an incentive to locate in isolation only if her advantage exceeds a certain threshold, which is increasing in firms׳ discount rate, in industry dispersion, and in the intensity of knowledge spillovers. Scenarios are identified where although it is optimal for the technological leader to locate in isolation, from a welfare perspective it would be desirable that she locates in the cluster.     

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.     

Knowledge spillovers in US patents: A dynamic patent intensity model with secret common innovation factors

During the past two decades, innovations protected by patents have played a key role in business strategies. This fact enhanced studies of the determinants of patents and the impact of patents on innovation and competitive advantage. Sustaining competitive advantages is as important as creating them. Patents help sustaining competitive advantages by increasing the production cost of competitors, by signaling a better quality of products and by serving as barriers to entry. If patents are rewards for innovation, more R&D should be reflected in more patent applications but this is not the end of the story. There is empirical evidence showing that patents through time are becoming easier to get and more valuable to the firm due to increasing damage awards from infringers. These facts question the constant and static nature of the relationship between R&D and patents. Furthermore, innovation creates important knowledge spillovers due to its imperfect appropriability. Our paper investigates these dynamic effects using US patent data from 1979 to 2000 with alternative model specifications for patent counts. We introduce a general dynamic count panel data model with dynamic observable and unobservable spillovers, which encompasses previous models, is able to control for the endogeneity of R&D and therefore can be consistently estimated by maximum likelihood. Apart from allowing for firm specific fixed and random effects, we introduce a common unobserved component, or secret stock of knowledge, that affects differently the propensity to patent of each firm across sectors due to their different absorptive capacity.     

A micro-econometric analysis of the role of R&D spillovers using a nonlinear translog specification

This paper assesses the impact of Research and Development (R&D) spillovers on production for a panel of 1,203 Italian manufacturing firms over the period 1998–2003.The estimations are based on a nonlinear translog production function augmented by a measure of R&D spillovers which combines the geographical distance between firms, the technological similarity within each pair of firms and the technical efficiency of each firm. The estimation method takes into account the endogeneity of regressors and the potential sample selection issue regarding the decision by firms to invest in R&D. Results show that the translog production function is more suitable than the Cobb-Douglas for modelling firm behaviour and that returns to scale are increasing. Moreover, the internal and external stocks of technology exert a significant impact on firms’ production. Finally, it emerges that, for Italian manufacturing firms, R&D capital and R&D spillovers are highly substitutes.     

Spillovers,Linkages and Technical Change

Using US input–output data for the period 1958–87, I find strong evidence that industry total factor productivity (TFP) growth is significantly related to the TFP performance of the supplying sectors, with an elasticity of almost 60%. R&D intensity is also found to be a significant determinant of industry TFP growth, with an estimated return of about 10–13% and the return to embodied R&D is estimated at 43%. Direct productivity spillovers, from the technological progress made by supplying sectors, appear to be more important than spillovers from the R&D performed by suppliers. They also play a key role in explaining changes in manufacturing TFP growth over time. Changes in the contribution made by direct productivity spillovers to TFP growth account for almost half of the slowdown in TFP growth in manufacturing from 1958–67 to 1967–77, and for 20% of the TFP growth recovery in this sector from 1967–77 to 1977–87. Changes in R&D intensity and embodied R&D are relatively unimportant in explaining movements in manufacturing TFP growth over these three periods.     

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.     

Technological spillovers and productivity in Italian manufacturing firms

We study whether a firm’s total factor productivity dynamics is positively influenced by its own R&D activity and by the technological spillovers generated at the intra- and inter-sectorial level. Our approach corrects simultaneously for the endogeneity and the selectivity biases introduced by the use of a firm’s own R&D as a regressor. The evidence suggests that a firm’s involvement in R&D activities accounts for significant productivity gains. Firms also benefit from spillovers originating from their own industries, as well as from innovative upstream sectors.     

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.     

Introduction: Input–Output Analysis of Interindustry R&D Spillovers

As an introduction to this special issue on intersectoral R&D spillovers, I shall first explain what these spillovers are and how economists try to estimate them. I shall then describe the seven papers selected for this issue from the expanding literature on R&D spillovers, summarize their major results and suggest further avenues of research in this area.     

Explaining Firms’ Export Behaviour: R&D,Spillovers and the Destination Market*

We examine the importance of a firm's own R&D activity and intra‐sectoral spillovers on the decision to export and the export intensity using firm level panel data for Spain for the period 1990–98. Own R&D activity is found to be an important determinant of export activity. There is little evidence to suggest that Spanish firms benefit from spillovers of the exporting activity of others. However, there is evidence that R&D spillovers exert positive effects on firms’ export ratios. We find a larger marginal impact of R&D spillovers on export intensity of firms exporting to other OECD countries than those exporting to non‐OECD nations.     

Cooperative R&D ventures: Strategic behavior versus transactional efficiency

This paper examines a sample of 48 cooperative R&D ventures announced in the period 1983–1990 to determine their impact on the stock price of the announcing firms. It finds that the venturing firms earn statistically significant positive abnormal returns over periods surrounding the announcement date. These gains are greater than those that result from announcements of increases in expenditures on in-house R&D. The cross-sectional analysis reveals that abnormal returns to the venturing firms are independent of industry concentration, larger in international ventures than in domestic ventures, and equal in cooperative agreements and equity joint ventures. These results support the transactional efficiency perspective of cooperative R&D ventures and suggest that the relaxation of antitrust laws as they apply to cooperative R&D ventures in 1984 is a welfare-improving policy.     

Firm performance and knowledge spillovers from academic, industrial and foreign linkages: the case of China

Firm performance may be enhanced by linkages with academic institutions, other firms, and foreign markets that confer knowledge spillovers as well as internal R&D that creates firm-specific knowledge. In particular, firm productivity and innovation may be enhanced by positive externalities from knowledge and technology produced by universities and research institutions (URIs) and diffused to the domestic economy. Productive contributions from such linkages might be particularly expected in China, where policy measures have explicitly supported and facilitated connections between URIs and firms to stimulate economic development and competitiveness. In this paper, we measure the performance impact of such knowledge spillovers in Chinese firms by using a variety of specifications, estimators, and robustness checks, including an ??instrumental variable?? specification that controls for endogeneity. We find more patent activity in Chinese firms with URI connections and enhanced firm productivity particularly from linkages with research institutions (RIs). Introduction of new products, processes, and new businesses is also positively associated with linkages with research institutions, as well as with linkages with other firms.     

Interindustry R&D Spillovers for Electrical and Electronic Products: The Canadian Case

This paper estimates the effects of interindustry R&D spillovers on the cost and production structure for 10 Canadian manufacturing industries. Because of their high-tech nature and productivity performance, spillovers from electrical and electronic products are distinguished from other spillover sources. Generally, spillovers from electrical and electronic products generate cost reductions and render production processes for Canadian manufacturing industries more capital intensive (i.e. either more physical or R&D capital intensive). Social rates of return for R&D capital are calculated for all 10 industries. The social rates are 5–11 times greater than are the private rates. Indeed, the social rates are high for all the industries. This implies that the electrical and electronic products industry is an important interindustry spillover source but, like other industries, a major spillover-using industry.     

The impacts of family involvement on R&D investment intensity in firms: Evidence from China

Drawing on the perspective of socioemotional wealth, this paper explores the types of family involvement in family firms and their impacts on R&D investment intensity. Using data from the forecasts issued by A-share family firms listed on Chinese stock markets between 2008 and 2019, the study finds that the separation of ownership and control is negatively associated with R&D investment intensity in non-high-tech firms, whereas potential gains of socioemotional wealth from R&D activities by high-tech firms produce a positive influence that offsets the negative impact of the separation of ownership and control on R&D investments. It reveals the importance of gains of socioemotional wealth. In contrast to the separation of ownership and control, family involvement in management is negatively associated with firms’ R&D investment intensity in both high-tech firms and non-high-tech firms. Our results capture the diversity of family members’ identity recognition, which leads to family members’ different evaluations of the potential gains and losses of socioemotional wealth. Overall, the distinction between high-tech family firms and other family firms is shown to be significant, as is the distinction between the impacts of different types of family involvement.

     

Favorable strategies for the success of entry into new technological areas: an entrepreneurial perspective

This study considers the act of entering into new technological domains for R&D purposes as one of the most intense entrepreneurial activities within large established firms, referring to it as R&D entrepreneurship. Attempting to detect factors that could strengthen (or weaken) the impact of R&D entrepreneurship on innovation performance, I examine the moderating role of three important R&D strategies, namely the knowledge plurality, internal focus, and R&D collaboration. I empirically test the hypotheses developed in this study on secondary, longitudinal economic and patent data from a sample of 139 firms from the industries of pharmaceuticals, biotechnology, and chemicals for a 7-year period, using fixed-effects negative binomial regression models. Findings support that the relationship between R&D entrepreneurship and innovation performance is positively moderated by knowledge plurality but negatively by internal focus and R&D collaboration.

     

Endogenous Technological Spillovers: Causes and Consequences

We develop a new approach to endogenizing technological spillovers. We analyze a game in which firms can first invest in cost-reducing R&D, then compete on the human-capital market for their knowledge-bearing employees, and finally enter the product market. If R&D employees change firms, spillovers arise. We show that technological spillovers are most likely when they increase total industry profits. We use this result to show that innovation incentives are usually stronger for endogenous than for exogenous spillovers and that endogenous spillovers may reverse the result that innovation incentives are stronger under quantity competition than under price competition. Finally, we explore the robustness of our results with respect to contractual incompleteness and the number of R&D workers.