Information sharing and the stability of cooperation in research joint ventures*

The model studies information sharing and the stability of cooperation in cost reducing Research Joint Ventures (RJVs). In a three-stage game-theoretic framework, firms decide on participation in a RJV, information sharing along with R&D expenditures, and output. An important feature of the model is that voluntary information sharing between cooperating firms increases information leakage from the RJV to outsiders. It is found that RJVs representing a larger portion of firms in the industry are more likely to share information. It is also found that when sharing information is costless, firms generally don't choose intermediate levels of information sharing: they share all the information or none at all. The size of the RJV is found to depend on three effects: a coordination effect, an information sharing effect, and a competition effect. Depending on the relative magnitudes of these effects, the size of the RJV may increase or decrease with spillovers. In response to an increase in leakages, RJV members reduce their R&D spending. In addition, they either increase the RJV size while maintaining information sharing unchanged (when leakages are low), or they reduce both information sharing and RJV size (when leakages are high).     

STRATEGIC R&D AND NETWORK COMPATIBILITY

We analyse the effects of network externalities in strategic R&D competition. We present a model of two firms competing with R&D investments and prices in a differentiated consumer market. Buyers form firm-specific networks which can be compatible. A high degree of compatibility and large spillovers moderate price competition due to weak strategic value of firm-specific networks and R&D investments, respectively. Asymmetry in product qualities brings out network effects that cancel out in conventional symmetric settings. The lower quality firm increases R&D and decreases its price as spillovers or network compatibility is increased. This happens when R&D and firm-specific network size have high strategic value.     

Multinational enterprises and innovation: firm level evidence on spillover via R&D collaboration

This paper estimates the knowledge spillovers to multinational enterprises (MNEs) in Sweden via domestic and foreign R&;D collaboration. Applying an augmented generalized method of moments-estimator that accounts for selectivity and simultaneity bias on data from 1,249 MNEs, our research has resulted in five distinct conclusions. First, we find that the knowledge spillovers via R&;D collaboration typically take place as a network phenomenon rather than a process between the local firm and a single innovation partner. Second, successful collaboration is conditional on the presence of foreign innovation partners in the network. Third, output is found to be an increasing function of R&;D-collaboration only among non-export oriented firms. Fourth, foreign MNEs, selling mainly to local and regional markets in Sweden, benefit more from R&;D collaboration than do other firms. Overall, the results show that demand-driven motives that require entrepreneurial knowledge to adapt products to local consumers and markets are more important for successful R&;D-collaboration than supply-driven motives.     

SCIENCE AND INDUSTRY: TRACING THE FLOW OF BASIC RESEARCH THROUGH MANUFACTURING AND TRADE

This paper describes flows of basic research through the US economy during the late 20th century. In addition, the paper studies the effect of the flows on scientific papers in industries and fields. This article differs from others in its use of measures of science rather than technology. Together, its results present a picture of the structure of basic research flows in a modern, science-intensive economy. Basic research flows are large within petrochemicals and drugs, and within software and communications. Flows of chemistry, physics, and engineering are common throughout all industries – biology and medicine are almost confined to petrochemicals and drugs; and computer science is nearly as restricted to software and communications. In general, basic research flows are more concentrated within scientific fields than within industries. Our findings concerning the production of scientific papers indicate that the effect of a 1% change in academic R&D spillovers significantly exceeds that of industrial spillovers. In addition, within-field effects exceed effects between-fields, while within- and between-industry effects are roughly equal. It follows that scientific fields limit basic research flows more than industries do, perhaps because large firms implicitly span a range of industries.     

Product market competition, R&D, and welfare

We compare the subgame perfect equilibrium emerging in four regimes of research and development (R&D) competition between duopolists: (i) full competition, (ii) coordination of research strategies, (iii) joint venture with cross licensing of patents, and (iv) full collusion in R&D and the product market. The outcome of the firms' interaction depends on the interplay of the degree of product market competition, the similarity of the research strategies, and the cost of R&D, relatively to market size. Our main result is that each of the four regimes can, for plausible parameter combinations, yield the highest level of welfare. Therefore it is problematic to draw general rules applicable to all proposed research joint ventures.     

Cooperation In R&D With Spillovers And Delegation Of Sales ∗

Cooperation in several phases of the innovation process is viewed by antitrust authorities with suspicion. They face the dilemma between providing the right incentives for the appro-priability of returns to R&D and the risks of diminishing product market competition. The current legislation in the European Union and the United States gives special treatment to cooperation in R&D and the joint exploitation of results (extended cooperation).

We study several collusive regimes for a class of examples in which vertical relations are explicitly introduced. Regarding antitrust policy implications we fmd that: a) there is an ana-lytical justification to a ‘rule of reason’ treatment for extended cooperation in research joint ventures and, b) individual exemptions, though restrictive of competition, might be welfare improving.     

Research Joint Ventures with Asymmetric Spillovers and Symmetric Contributions

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

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.     

Innovation and the competitiveness of industries: Comparing the mainstream and the evolutionary approaches

The study of the relationships between innovation and the competitiveness of industries is an important topic for both, academic research and economic policy. The huge economics literature flourished in the last couple of decades on the subject broadly falls into two distinct research traditions, namely the mainstream R&D spillovers approach and the evolutionary economics view. Both traditions agree on the important role played by innovation and the inter-sectoral diffusion of advanced knowledge for the competitive performance of industrial sectors. Behind this general agreement, however, the two approaches are radically different. This paper shows that, at a deeper level of analysis, the mainstream and evolutionary views do indeed differ with respect to their theoretical foundations, empirical research and policy implications. In a nutshell, while the mainstream R&D spillover approach is inspired by a traditional view of economic policy based on a market-oriented approach, the evolutionary view is on the contrary consistent with the idea that institutional arrangements and policy interventions do indeed play a fundamental role for shaping innovation patterns and their impacts on the competitiveness of industries.     

Measuring universities’ R&D performance in China’s provinces: a multistage efficiency and effectiveness perspective

ABSTRACT

Evaluating universities’ R&D performance can serve as a tool for policymakers, enabling them to identify the best R&D practitioners for benchmarking and develop strategies for enhancing performance by highlighting areas of weakness. This study divides universities’ R&D performance into two dimensions: efficiency and effectiveness. We employ a network data envelopment analysis approach to measure universities’ R&D efficiency, and separately use a multi-index comprehensive evaluation method to assess their R&D effectiveness from a multistage perspective. We calculate the comprehensive R&D performance of universities in 30 provinces in China from 2004 to 2014. An analysis of temporal variation reveals that universities’ R&D performance in some provinces improved rapidly, increasing gaps in performance as a whole. The spatial pattern for the 30 provinces shows that universities in provinces with medium or strong R&D performance are mainly in coastal provinces and central areas in China. Finally, universities’ R&D activities are considered ‘efficient and effective’ only in a small number of provinces, while in most provinces, these activities can generally be considered ‘less efficient and effective.’ Hence, universities in provinces with different R&D performance modes should implement targeted improvement strategies according to their characteristics.