Using scenarios for roadmapping: The case of clean production

Roadmapping and scenarios are two widely used futures techniques which help R&D managers set priorities for research. These techniques are combined in a Foresight exercise assessing development of clean production in metal manufacturing, drawing on the European CLEANPROD project. The aim of the project is to develop a set of roadmaps for metal processing R&D to achieve breakthrough sustainability — “clean production”.Scenarios, a frequently used Foresight method, are used to set the context for the exercise, inform the design of technology roadmaps and influence the wider policy context. Roadmaps are developed for three process areas of metal manufacture - surface preparation, machining and coating - on four levels including long run visions up to 2020, interim targets up to 2015, key R&D areas and specific project topics. Roadmaps are appraised in the light of alternative scenarios on the future of manufacturing. Promoting sustainability highlights gaps in a “business as usual” roadmap, suggesting a different portfolio of research projects. A revised overall scenario is used to shape public policy.R&D teams usually adopt one particular methodology to support resource allocation. However joint use of futures techniques helps if there is uncertainty over competing alternative technologies. Roadmapping often focuses on a single future. Scenario building as a Foresight technique introduces “multiple futures” thinking.     

International R&D spillovers and institutions

The empirical analysis in “International R&D Spillovers” [Coe, D., Helpman, E., 1995. International R&D Spillovers. European Economic Review, 39, 859-887] is first revisited on an expanded data set that we have constructed for the purpose of this study. The new estimates confirm the key results reported in Coe and Helpman about the impact of domestic and foreign R&D capital stocks on TFP. In addition, we show that domestic and foreign R&D capital stocks have measurable impacts on TFP even after controlling for the impact of human capital. Furthermore, we extend the analysis to include institutional variables. Our results suggest that institutional differences are important determinants of TFP and that they impact the degree of R&D spillovers. Countries where the ease of doing business and the quality of tertiary education systems are relatively high tend to benefit more from their own R&D efforts, from international R&D spillovers, and from human capital formation. Strong patent protection is associated with higher levels of total factor productivity, higher returns to domestic R&D, and larger international R&D spillovers. Finally, countries whose legal systems are based on French and, to a lesser extent, Scandinavian law benefit less from their own and foreign R&D capital than countries whose legal origins are based on English or German law.     

Technology clubs, R&D and growth patterns: Evidence from EU manufacturing

This paper investigates the forces driving output change in a panel of EU manufacturing industries. A flexible modeling strategy is adopted that accounts for: (i) inefficient use of resources and (ii) differences in the production technology across industries. With our model we are able to identify technical, efficiency, and input growth for endogenously determined technology clubs. Technology club membership is modeled as a function of R&D intensity. This framework allows us to explore the components of output growth in each club, technology spillovers and catch-up issues across industries and countries.     

Technology and regional policy: a case study of Northern Ireland

The importance of technical change, through the innovative activity of industry, has received a lot of attention in the regional economic literature. Regional policy has now begun to reflect the changing emphasis in the recent literature, and especially the key role of inventive activity in achieving long-run self-sustaining regional growth. This paper concentrates on research activities in terms of inventive inputs (R&D) and innovative outputs (especially patented innovations). In general the results suggest that there is a low level of technological activity in Northern Ireland, especially in industries that are characterized as being technologically advanced. This is partly because external ownership reduces R & D activity which in turn reduces innovation outputs but there is also a problem in that companies in Northern Ireland are relatively unsuccessful at producing new products and processes of the type and quality required in the market place. The availability of government-sponsored R & D grants since 1977 has begun to redress the imbalance in terms of R & D activities but there is, as yet, little information to show that the level of technological success has increased.     

Does a ‘non-committed’ government always generate lower social welfare than its ‘committed’ counterpart? Strategic trade policy when consumer surplus matters

We show that social welfare in the setup where the government lacks the full ability to commit to its trade policies may exceed the social welfare when the government possesses full commitment power if consumer surplus is part of the social welfare function. This is never the case in the standard, “third market” framework of strategic trade policy. We provide two examples in which consumer surplus matters: the “home market” and the “intra-industry trade” setup. The policy instruments under consideration are import tariffs and export subsidies and there are R&D spillovers from the domestic to the foreign firm.     

Animal spirits and the composition of innovation

This paper shows that the Schumpeterian model with both vertical and horizontal innovative research admits many more equilibria than the unique symmetric balanced growth path (BGP) usually highlighted in the literature. Each of a continuum of BGPs is characterized by a different composition of aggregate R&D (vertical versus horizontal).This appears if firms expect self-fulfilling “waves of enthusiasm” in the newly introduced sectors, as is very common in the real world. Pioneers are challenged by more outsiders and the first monopoly of every new good is likely to last less than in more mature industries: By expecting this horizontal innovation is depressed while vertical innovation is more intense. Such “waves of enthusiasm” have a positive effect on growth rates and a negative effect on consumption levels.     

The impact of public R&D expenditure on business R&D*

This paper attempts to quantify the aggregate net effect of government funding on business R&D in 17 OECD Member countries over the past two decades. Grants, procurement, tax incentives and direct performance of research (in public laboratories or universities) are the major policy tools in the field. The major results of the study are the following: Direct government funding of R&D performed by firms has a positive effect on business financed R&D (except if the funding is targeted towards defence activities). Tax incentives have an immediate and positive effect on business-financed R&D; Direct funding as well as tax incentives are more effective when they are stable over time: firms do not invest in additional R&D if they are uncertain of the durability of the government support; Direct government funding and R&D tax incentives are substitutes: increased intensity of one reduces the effect of the other on business R&D; The stimulating effect of government funding varies with respect to its generosity: it increases up to a certain threshold (about 10% of business R&D) and then decreases beyond; Defence research performed in public laboratories and universities crowds out private R&D; Civilian public research is neutral for business R&D. * We thank the participants to various seminars, including the OECD Committee for Scientific and Technology Policy and the NBER 2000 Summer Institute on Productivity for helpful comments and suggestions. All opinions expressed in this article are those of the authors and do not reflect necessarily the views of the OECD or Université Libre de Bruxelles.     

The refoundation of the symmetric equilibrium in Schumpeterian growth models

We provide a refoundation of the symmetric growth equilibrium characterizing the research sector of vertical R&D-driven growth models. We argue that the usual assumptions made in this class of models leave the agents indifferent as to where targeting research: hence, the problem of the allocation of R&D investment across sectors is indeterminate. By introducing an “?-contamination of confidence” in the expected distribution of R&D investment, we prove that the symmetric structure of R&D investment is the unique rational expectations equilibrium compatible with ambiguity-averse agents adopting a maxmin strategy.     

Technological spillover through industrial and regional linkages: Firm-level evidence from China

This paper provides new insights into the study of technology spillover effects through the interaction between industrial and spatial linkages. We develop a theoretical model that provides a useful modeling framework for spillover research, and then empirically test the model inferences using Chinese firm-level data. Input-output tables and spatial decay measurements are combined to construct the key spillover variables. Using seemingly unrelated regressions, the paper finds that vertical spillover effects are more significant than horizontal spillover effects, both within- and between-regions; regional characteristics have greater impacts on vertical spillovers than on horizontal spillovers; and regional spillover effects vary across different regions. Regional policies and regional endowments, including human capital, transportation infrastructure, and enterprise ownership, are crucial in explaining these heterogeneities in regional technology spillover. Our empirical results provide many policy implications including strengthening the connection between upstream and downstream industries and devoting more R&D to upstream industries.     

Trade and the Transmission of Technology

This paper integrates earlier studies on the link of productivity and research and development (R&D) in different industries of a closed economy with the more recent emphasis on R&D-driven growth and international trade in open economies. In this framework, technology in the form of product designs is transmitted to other industries, both domestically as well as internationally, through trade in differentiated intermediate goods. I present empirical results based on a new industry-level data set that covers more than 65 percent of the worlds manufacturing output and most of the worlds R&D expenditures between 1970 and 1991. The analysis considers productivity effects from R&D in the domestic industry itself, from R&D in other domestic industries, as well as in the same and other foreign industries. I estimate strong productivity effects both from own R&D spending and R&D conducted elsewhere. The contribution of R&D in the industry itself is about 50 percent in this sample. Domestic R&D in other industries is the source of 30 percent of the productivity increases, and the remaining 20 percent are due to R&D expenditures in foreign industries.     

Patents in a Model of Endogenous Growth

This paper examines patent protection in an endogenous-growth model. Our aim is twofold. First, we show how the patent policies discussed by the recent patent-design literature can influence R&D in the endogenous-growth framework, where the role of patents has been largely ignored. Second, we explore how the general-equilibrium framework contributes to the results of the patent-design literature. In a general-equilibrium model, both incentives to innovate and monopoly distortions depend on the proportion of industries that conduct R&D. Furthermore, patents affect the allocation of R&D resources across industries, and patents can distort resources away from industries where they are most productive.     

Industry R&D intensity distributions: regularities and underlying determinants

This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the “unobserved R&D-related capabilities” suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution.     

Determinants of technical change: Empirical evidence from Switzerland

The purpose of this paper is to analyse both theoretically and empirically those factors which underlay the—empirically observable—inter-industry differences in technical progress. At the theoretical level economists agree more and more that technical progress can be explained at the industry level ey the following three factors: 1. the technological opportunities, 2. the appropriability conditions, meaning the ability to capture and protect the results of technical innovations, and 3. the market demand conditions.The basic theoretical model was tested with the help of two sets of Swiss data. One set was made available by Swiss Federal Office of Statistics and consists of quantitative information on R&D expenditures, R&D personnel, total employment and sales figures for 124 (4-digit SIC) industries for the year 1986. The second set was derived from a survey I carried out in the summer of 1988. 940 industry experts were approached: 358 of them, or 38 percent, covering 127 industries, completed the questionnaire. The items on the questionnaire were related to the two supply-side determinants of technical progress—items 1. and 2. above. For the empirical specification of the theoretical model, technical progress (as the dependent variable) was measured by three indicators: an output indicator, representing the introduction rate of innovations since 1970; two input indicators, share of R&D expenditures in sales and share of R&D personnel in total employment. All data were aggregated at the industry level (4-digit SIC). Three equations were estimated individually, using the OLS, GLS and Tobit methods.     

A dynamic general equilibrium model for public R&D investment in Taiwan

In terms of economic development policies, public research and development (R&D) investment may be one of the most critical and useful tools in Taiwan, having frequently played a role in leading related overall investment in Taiwan. Although the impact channels of R&D investment are varied and complex, its benefits in terms of the development of human capital, industrial productivity, and basic research are clear. With the rapid growth of the private sector in the Taiwan economy, it is, however, debatable whether the government should continue to use the public financial budget to invest in R&D. By using a computable general equilibrium (CGE) model to simulate the impact of public R&D investment on the economy in Taiwan, the empirical evidence of the present paper is that public R&D investment gives rise to different short-term and medium-term impacts on real GDP that are mostly felt in the third or fourth years of their implementation among different industries. These impacts then gradually converge back to equilibrium in the long run. Public R&D investment boosts the technology of high-tech industries and increases exports, but it also crowds out the output of primary industries. Although the public R&D investment has a positive effect on the real wage, its effect on inflation should not be overlooked. Because of the pros and cons surrounding the impact of public R&D investment on industries and the economy, the study provided by the present paper can serve as valuable reference not only to decision-makers in government agencies but also to academic researchers.     

R&D EFFICIENCY AND THE NATIONAL INNOVATION SYSTEM: AN INTERNATIONAL COMPARISON USING THE DISTANCE FUNCTION APPROACH

This paper applies the distance function approach for stochastic frontier analysis (SFA) to compare research and development (R&D) efficiency across 24 nations during 1998–2005. In this multiple input–output framework, R&D expenditure stock and R&D manpower were inputs, while patents, scientific journal articles, and royalties and licensing fees (RLF) were outputs. Intellectual property rights protection, technological cooperation among business sectors, knowledge transfer between business sectors and higher education institutions, agglomeration of R&D facilities, and involvement of the government sector in R&D activities significantly improve national R&D efficiency.     

Endogenous fluctuations with procyclical R&D

The literature on endogenous growth cycles predicts the countercyclical allocation of resources to R&D. However, this prediction is not supported by empirical studies. This study considers the R&D-based growth model with endogenous fluctuations introducing population growth and a negative externality that affects the productivity of R&D. We show that this simple modification makes R&D investment procyclical along sustained business cycles using both an overlapping generation framework and an infinitely-lived agent framework.     

Spillovers in R&D activities: An empirical analysis of the Nordic countries

This paper analyzes the impact of public research and development (R&D) on private sector output. It is argued that giving away public R&D will increase the input supply of private R&D and, accordingly, will enlarge business sector output. A model based on panel data for all five Nordic countries is estimated by a maximum likelihood procedure allowing for nonlinear relationships. The hypothesis is also tested within a cointegration methodology framework. Evidence is present concerning national spillovers from public R&D to private R&D in Denmark, Finland, and Iceland. For Norway and Sweden, international spillover effects seem to be more dominant. An earlier version of this paper was presented at the International Atlantic Economic Conference, October 7–10, 1999, Montreal, Canada. The authors are grateful to conference discussants and an anonymous referee for useful comments.     

Application of technology roadmaps to governmental innovation policy for promoting technology convergence

The Ministry of Economy, Trade and Industry of Japan has actively involved itself in technology roadmapping in recent years in order to build a broad discussion basis for researchers and business-oriented people in academia, industry and government. This unique attempt is not fully tested in the context whether the “public sector's roadmaps” are viable for promoting innovation and for building tight collaborative relationships between different sectors. However, the authors have been widening the application of roadmapping activities from classical R&D management to new ways of promoting technology convergence, in which the Japanese R&D community is said to be not so accustomed. This paper depicts the governmental agency's objectives, activity details and ways of applications of technology roadmaps and roadmapping. The authors' intention is not only to introduce this kind of governmental activity to the MOT world, but rather to ignite discussions on the usefulness and effectiveness of technology roadmaps and roadmapping in a wide range of knowledge sharing.     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.