Complementarity in R&D Cooperation Strategies

This paper assesses the performance effects of simultaneous engagement in R&D cooperation with different partners (competitors, clients, suppliers, and universities and research institutes). We test whether these different types of R&D cooperation are complements in improving productivity. The results suggest that the joint adoption of cooperation strategies could be either beneficial or detrimental to firm performance, depending on firm size and specific strategy combinations. Customer cooperation helps to increase market acceptance and diffusion of product innovations and enhances the impact of competitor and university cooperation. On the other hand, smaller firms also face diseconomies in pursuing multiple R&D cooperation strategies, which may stem from higher costs and complexity of simultaneously managing multiple partnerships with different innovation objectives.The empirical analysis for this paper has been performed at CEREM/Statistics Netherlands. We thank Bert Diederen of CEREM for his assistance. The views expressed in this paper are those of the authors and do not necessarily reflect the policies of Statistics Netherlands. We thank two anonymous referees, the editor (Lawrence White), Bonnie Beerkens, Geert Duysters, Katrin Hussinger, and Pierre Mohnen for helpful comments on earlier drafts     

Market share,advertising, R&D,and profitability: An empirical analysis of leading industrial firms in Japan

This paper develops a dynamic model of a leader firm which chooses the time paths of R&D and advertising inputs so as to maximize the present value of expected profits. From this theoretical model simultaneous-equations system for market share, advertising, R&D, and profitability is derived and estimated using the data on the leading industrial firms in Japan. Our results show that, as far as top firms are concerned, market share and demand growth have significant positive effects on profitability, and an increase in the stock of goodwill increases market share as well as profitability.This study was financially supported by the Ministry of Education in Japan. Helpful comments were provided by H. Odagiri. Also I am indebted to an anonymous referee for advice and criticism on various points.     

Business R&;D and the Interplay of R&;D Subsidies and Product Market Uncertainty

This paper examines the effect of product market uncertainty and government research and development (R&D) subsidies on firm-level R&D investment. Using a sample of German manufacturing firms, we find that product market uncertainty reduces R&D investment and government R&D subsidies increase R&D investment. Moreover, our results indicate that R&D subsidies mitigate the effect of product market uncertainty on R&D investment. These findings suggest that public policies aimed at increasing business R&D investment can achieve this objective by reducing the degree of uncertainty in the product market.      

Empirical Evidence on the Success of R&;D Cooperation—Happy Together?

In this paper we analyse the effect of past R&D cooperation on current firms’ innovation performance. Success measures are: sales of innovative products, distinguishing between products new to the firm and new to the market, and cost reductions due to innovative processes. Particular attention is paid to the impact of different cooperation partners. The analysis rests on firm-level data of the annual German innovation survey. We find that R&D cooperation with competitors leads to greater cost reductions that are attributable to innovative processes. R&D cooperation with research institutes has a positive influence on a firm’s economic success with market novelties.      

A NEW PERSPECTIVE ON INDUSTRY R&D AND MARKET STRUCTURE*

This paper aims to shed some new insights on the long‐debated and both extensively and intensively explored relationship between market concentration and industry R&D intensity. In order to do so, this study develops, from a classic Dorfman‐Steiner [1954] model of firm R&D, a model of industry R&D, where consumer preference over quality and price, R&D technology, and the joint distribution of firm‐specific technological competence and market share jointly determine the level of industry R&D intensity. The joint distribution term, which reflects both the underlying distribution of firms‐specific technological competence and the strength of its link with market share, suggests that the concentration‐R&D relationship differs depending on the strength of the link or simply the appropriability of R&D in terms of market share: A positive relationship is predicted for low‐appropriability industries, where market concentration supplements low R&D appropriability, while a negative or an inverted U‐shaped relationship for high‐appropriability industries. An empirical analysis of data, disaggregated at the five‐digit SIC level, on R&D and market concentration of Korean manufacturing industries provides supportive evidence for the predictions.     

Agricultural research spending must increase in light of future uncertainties

Agricultural productivity depends critically on investments in research and development (R&D), but there is a long lag in this response. Failing to invest today in improvements of agricultural productivity cannot be simply corrected a few decades later if the world finds itself short of food at that point in time. This fundamental irreversibility is particularly problematic in light of uncertain future population, income, and climate change, as portrayed in the IPCC’s Shared Socio-Economic Pathways (SSPs). This paper finds the optimal path of agricultural R&D spending over the 21st century for each SSP, along with valuation of those regrets associated with investment decisions later revealed to be in error. The maximum regret is minimized to find a robust optimal R&D pathway that factors in key uncertainties and the lag in productivity response to R&D. Results indicate that the whole of uncertainty’s impact on R&D is greater than the sum of its individual parts. Uncertainty in future population has the dominant impact on the optimal R&D expenditure path. The robust solution suggests that the optimal R&D spending strategy is very close to the one that will increase agricultural productivity fast enough to feed the World under the most populous scenario. It also suggests that society should accelerate R&D spending up to mid-century, thereafter moderating this growth rate.     

Small is big in ICT: The impact of R&D on productivity

We examine the contribution of R&D to firm productivity in a large panel of European firms and study its variation with the age, size, and sub-sector of firms. We find that R&D capital in ICT firms has a larger effect on revenue when compared to non-ICT firms. At the firm level, our results suggest that, surprisingly, smaller and older ICT firms benefit the most from R&D. Small but mature ICT firms are likely to dominate market niches, and small size may enable them to be flexible and adaptable which helps them respond to technological opportunities to develop innovative products and services. This has important implications for public policy based upon firm age.     

Japanese Research Consortia: A Microeconometric Analysis of Industrial Policy

Despite the existence of much theoretical research analyzing the potential benefits and costs of R&D consortia, there has been little corresponding empirical work on their efficacy. In this paper, we undertake a large-sample econometric study of Japanese government-sponsored research consortia. We find evidence that frequent participation in these consortia has a positive impact on research expenditure and research productivity. These results hold after controlling for the potential endogeneity of intensity of participation in consortia to participating firms' research productivity. Furthermore, we find evidence that part of this impact arises from the increased knowledge spillovers that take place within these consortia.     

Do R&D and ICT affect total factor productivity growth differently?

We analyze the effect of ICT and R&D on total factor productivity (TFP) growth across different industries in Sweden. R&D alone is significantly associated with contemporaneous TFP growth, thus exhibiting indirect effects. Although there is no significant short-run association between ICT and TFP, we find a positive association with a lag of seven to eight years. Thus, R&D affect TFP much faster than ICT-investments. We also divide ICT capital into hardware and software capital. To our knowledge, this distinction has not been made in any previous study analyzing TFP at the industry level. The results show that lagged hardware capital services growth is significantly associated with TFP growth. Hence, investments complementary to hardware are needed to reap the long-run TFP effects from reorganizing production.     

Passing the food and agricultural R&D buck? The United States and China

The global geographical balance of food and agricultural R&D spending is shifting, characterized by a declining U.S. share and a rising middle-income-country share, propelled heavily by the rapid rise of spending in China. Based on our newly compiled data, we estimate that China now outspends the United States on both public and private food and agricultural research on a purchasing power parity basis. The public-private orientation of the research has also changed markedly, with the private sector now accounting for around two-thirds of the food and agricultural R&D spending total in both China and the United States. Our estimates indicate that China’s private sector tilts heavily towards post-farm R&D activities, whereas the U.S. private sector is split more evenly between on-farm and post-farm spending. While the intensity of Chinese investment in food and agricultural R&D (relative to agricultural GDP) is beginning to grow, it still lags well behind the food and agricultural R&D investment intensities of the United States and other higher-income Asian countries (e.g., Japan and South Korea). The development regularities we reveal in the longer-run trends are indicative of future R&D investment patterns with potentially profound long-run implications for the size, shape and accessibility of the global stocks of scientific knowledge that underpin food and agricultural sectors worldwide.     

How mergers affect innovation: Theory and evidence

This article analyses how horizontal mergers affect innovation of the merged entity and its non-merging competitors. Using data on horizontal mergers among pharmaceutical firms in Europe and applying propensity score matching estimators, we find that average patenting and R&D of the merged entity and its rivals declines substantially in post-merger periods. We show that this result is consistent with the predictions from an oligopoly model with heterogeneous firms, as well as a patent race model, when pre-merger R&D intensity is sufficiently high. Consistent with our theoretical model, we find that negative effects of mergers on innovation are concentrated in markets with high R&D intensity and in technology classes with overlap in pre-merger innovation activities of merging and rival firms.     

The impact of global and local cohesion on innovation in the pharmaceutical industry

In this paper, we examine how the configuration of intraorganizational networks, and in particular, cohesion among members of an organization, influences organizations' innovative output. We argue that the cohesion among R&D scientists could be at a local level or a global level, and that local and global cohesion may have different impacts on firms' innovation performance. We test our hypotheses by examining the structure of the R&D collaboration networks within firms that operated in the pharmaceutical industry between 1981 and 1989, and their innovative outcomes—patents that led to new product launches. We find that local cohesion has a positive impact on the innovative performance of a firm, and global cohesion has a negative impact. Copyright © 2011 John Wiley & Sons, Ltd.     

Multinationals and the globalization of R&D

In this paper we consider how the location, organization and output of knowledge production evolve within domestic firms following acquisition-FDI in order to understand the aggregate effect on an index of domestically produced innovations. We find strong differences according to how close the acquiring MNE is to the technologically frontier. Frontier MNEs are more likely to close R&D activities in acquired affiliates, but when they are retained they expand employment of high-skilled R&D workers and transfer R&D knowledge. Non-frontier MNEs make fewer changes to R&D. Overall the effect of acquisition-FDI on the domestic innovation index is positive.     

The moderating role of competence specialization in the effect of external R&D on innovative performance

This paper studies the functional specialization of SMEs’ technological competence and its moderating role in the effect of external R&D on their innovative performance. Technological competence consists of many functional dimensions such as basic research, product architecture, process construction, testing, and evaluation, which constitute a sequence of innovation tasks. The specialization of technological competence allows SMEs to utilize economies of specialization in R&D, enhance their bargaining power and appropriability conditions in the process of external R&D, and attract promising R&D partners. However, competence specialization may hamper SMEs’ capabilities to coordinate and integrate diverse external R&D projects. Using a sample of SMEs in Korean manufacturing industries, we find the following results. First, competence specialization positively moderates the effect of external R&D on SMEs’ innovative performance. Second, the positive moderating effect of competence specialization diminishes as the share of external R&D increases. Third, the moderating effect of competence specialization differs across industries depending on the degree of market dominance by a few large firms (i.e., market concentration) and the novelty of technologies pursued by SMEs in each industry.     

Doing R&D and/or Importing Technologies: The Critical Importance of Firm Size in Taiwan’s Manufacturing Industries

We analyze the relationship between firm size and innovation inputs in Taiwan. Two inputs are considered: R&D and technology imports. Building on an existing theoretical framework, we test this relationship by estimating bivariate Tobit models in twenty 2-digit industries, using a panel of 27,754 firms observed from 1992 to 1995. We find that, in all industries, R&D intensity and/or technology imports intensity depend strongly on firm size, following an “inverted-U” pattern. Moreover, we find that most industries are only “mildly Schumpeterian”. Finally, our results provide some empirical evidence for complementarity between R&D and technology imports in the innovation process.     

Leaders,laggards, and the pursuit of foreign knowledge

This paper analyzes how firms in different technological and market share positions use foreign R&D to augment their technological capabilities. Technology transfer issues and absorptive capacity arguments are examined to analyze the different technological capabilities of leading and lagging firms. In addition, a new strategic rationale (in terms of non‐dominant market share firms) that has not been considered in prior studies analyzing knowledge‐seeking FDI is offered. From a panel dataset which includes information on all foreign R&D investments made by publicly traded Japanese manufacturing firms (from 1974 to 1994), I show that Japanese firms investing in foreign R&D tend to be the non‐dominant market share firms, but also the technologically leading firms across fairly diverse industries. By considering both the technological and market share positions of firms, this study reveals important characteristics that influence when firms use foreign R&D as part of a strategy to augment their technological capabilities. Copyright © 2005 John Wiley & Sons, Ltd.     

Localization and overseas R&D activity: the case of Taiwanese multinational enterprises in China

This study investigates the determinants of overseas research and development (R&D) and the influences of various aspects of localization on affiliates' R&D intensity. Using a dataset of Taiwanese multinational enterprises (MNEs) in China, the empirical estimations find that MNEs with a larger firm size, more R&D expenditure, and a higher outward foreign direct investments intensity tend to undertake R&D. Host regions' characteristics, particularly market size and R&D resources, do matter for attracting MNEs to conduct R&D locally. Crucially, affiliates' R&D intensity is related to the degree of localization. The degree of market localization and localization of the R&D network has a positive association with affiliates' R&D intensity. From the perspective of R&D policy, a country with healthy R&D infrastructures helps attract the establishment of R&D labs of MNEs.     

The derivation of R&D return indicators within a real options framework

The purpose of this paper is to rework the building blocks of real option applications and to introduce a basket option framework. We find that the characteristic parameters of the risk neutral density function implied in observed share prices within the real option framework represent a novel category of R&D return indicators. Empirical evidence for a set of 13 US bio-pharmaceutical companies is provided. The novel R&D return indicator can be used to analyse investor's expectations on R&D success of a particular firm. The implications of this indicator on decision making are mainly based on its information content on technological and market risk of the products under development in a particular firm. A proposal for a potential application of the stability index in innovation research is discussed as well. The study thus is at the interface between innovation research and (empirical) finance.     

Does the technological sourcing decision matter? Evidence from Spanish panel data

This paper extends previous analysis of the choice between internal and external R&D to consider the effect of this decision on productivity. Existing empirical research confirms that there is a positive relationship between technological assets and firm performance. However, few works have attempted to identify whether the technological sourcing decision taken by the firm affects productivity. The main finding of this paper is that the technological strategy developed by the firm does affect productivity. This issue is particularly novel as it incorporates the technological sourcing decision taken by the firm. The results we obtain indicate that the technological sourcing decision affects the relationship between technological capital and productivity. Thus, our findings suggest that the decision between internal and external R&D matters.     

Cost Reduction,Competitive Pressure and Firms' Optimal R&D Strategies in a Duopolistic Industry

This paper deals with a duopolistic industry where firms are engaged in cost-reducing R&D activity in order to maximize their market shares. Firms' R&D competition is characterized as a dynamic noncooperative feedback game where the optimal strategies are affected by the extra-industry R&D activity and the degree of intra-industry spillovers. Numerical simulations highlight the importance of the assumptions on the firms' absorptive capacity (to exploit external knowledge) in determining the optimal levels of firms R&D investrnents.