Patents,R&;D and lag effects: evidence from flexible methods for count panel data on manufacturing firms

This paper investigates the relationship between patents and research and development expenditures using new longitudinal patent data at the firm level for the U.S. manufacturing sector from 1982 to 1992. The paper also develops a new class of count panel data models based on series expansion of the distribution of individual effects. Estimation results from various distributed lag and dynamic multiplicative panel count data models show that the contemporaneous relationship between patenting and R&D expenditures continues to be strong, accounting for over 60% of the total R&D elasticity. The lag effects are higher than have previously been found for the 1970s data. We would like to thank Chris Bollinger, Bronwyn Hall and Paula Stephan for useful comments on the previous version of the paper. Earlier versions were presented at the 11th International Conference on Panel Data, Texas A&M University, the Midwest Econometrics Group Meeting, and the Annual Conference of the Southern Economic Association.     

R&D dynamics in the product life cycle

This paper presents a model of a firm's R&D behavior over an entire product life cycle. Beginning with the search stage, modelled as a patent race, firms raise their R&D expenditures until one firm succeeds with a technological breakthrough in creating a new product, market. The following R&D behavior of the successful entrepreneur, devoted to incremental product and process innovations, varies in a characteristic way over the new product's life cycle. Under reasonable conditions, R&D activities rise in the early stages but decline when the market matures. Overall, supply and demand factors combine to determine the R&D time-path.Paper presented at the Sixth Annual Congress of the European Economic Association, Cambridge, U.K., August 31-September 2, 1991. I would like to thank three anonymous referees for helpful comments and suggestions. Financial support of the DFG in Bonn is gratefully acknowledged.     

Private R&;D and Spillovers in European Agriculture

The objective of this paper is to present econometric evidence of the effects of economic incentives, public policies, and institutions on national aggregate private agricultural R&D investments. The main hypothesis we will test in this paper is whether agricultural R&D spillovers represent a disincentive for national private R&D. More specifically, we will test if the spillovers function, which is a determinant of private R&D, follows a quadratic form and if private R&D is determined by the role of incentives and institutions.A previous draft of this paper was presented at the 57th International Atlantic Economic Conference, Lisbon, Portugal, 10–14 March 2004. Comments from participants have been very useful to improve the paper.     

Outsourcing of innovation

This paper looks at the outsourcing of research and development (R&D) activities. We consider cost reducing R&D and allow manufacturing firms to decide whether to outsource the project to research subcontractors or carry out the research in-house. We use a principal-agent framework and consider fixed and revenue-sharing contracts. We solve for the optimal contract under these constraints. We find that allowing for revenue-sharing contracts increases the chance of outsourcing and improves economic efficiency. However, the principal may still find it optimal to choose a contract that allows the leakage to occur—a second-best outcome when leakage cannot be monitored or verified. Stronger protection of trade secrets can induce more R&D outsourcing without inhibiting technology diffusion and increase economic efficiency, as long as it does not significantly lengthen the product cycle. We have benefitted from comments from Andy Daughety, Bob Becker, Rick Bond, Kenneth Chan, Kenji Fujiwara, Shingo Ishiguro, Ron Jones, Seiichi Katayama, Pravin Krishna, Stephanie Lau, Jennifer Reinganum, Koji Shimomura, Eden Yu, two anonymous referees, an editor, and seminar participants at Arizona State, Indiana, Kobe, Osaka, Purdue, Michigan State, UC-Irvine, Vanderbilt, the American Economic Association Meeting in Philadelphia, the Midwest Economic Theory and International Trade Meetings at Indianapolis, the Public Economic Theory Conference in Beijing (China), the WTO and Globalization Conference at Hitotsubashi (Japan), the ETSG meeting in Nottingham (UK), and the CES-IFO Conference in Munich (Germany). We also thank Marketa Sonkova for research assistance. Financial support by the Research Grants Council of Hong Kong SAR, China (Project No. CityU1476/05H) and the Department of Economics and Finance of City University of Hong Kong is acknowledged. The usual disclaimer applies.     

Research and development and labour productivity: do high-tech firms exhibit labour- or capital-saving technical change?

Employment and output in the advanced technology sectors have generally exhibited above-average growth for more than two decades. While this industry accounts for a relatively small share of total employment, the majority of private sector research and development (R&D) expenditures in the US is concentrated within seven sub-sectors. However, little attention has been paid as to whether high-tech productivity exhibits Hicksian capital or labour ‘savings’ bias or tendency to displace either factor input over time. Biased technical change can occur as economies transition between growth regimes. An augmented production function is employed to analyse the additional impact of R&D activity on firm-level labour productivity. A panel data set comprised of high-tech firms located across the advanced economies, China and India from 1990 to 2013 is used in the analysis. Labour-saving technical change was present across the advanced technology sectors and most countries. The expanded models of labour productivity that used fixed effects with lagged regressors confirmed the prior results as well as finding that R&D per employee, relative R&D intensity and firm market share contribute to firm-level labour productivity growth across countries and sectors. Additional support was found for diminishing returns to scale but not for R&D spillover effects.     

Quantifying knowledge exchange in R&D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

R&;D spillovers and firms’ performance in Italy

Using a translog production function we estimate the impact of R&D spillovers on the output performance of Italian manufacturing firms over the period 1998-2003. Technological flows are measured through an asymmetric similarity index that takes also into account the geographical proximity of firms. Results show that R&D spillovers positively affect firms production and that geography matters in determining the role of the external technology. Moreover, we find that the effect of R&D spillovers is high in the Centre-South of Italy and that the stock of R&D spillovers is Morishima complement to the stock of R&D own-capital. The authors thank Giovanni Anania, Olof Ejermo, Vincenzo Scoppa, Alessandro Sterlacchini and Marco Vivarelli for useful comments on an earlier draft. We are also grateful to the participants at the Workshop on “Spatial Econometrics and Statistics” in Rome (University “Guido Carli, May 2006) and at the 2006 ADRES Conference, “Networks of Innovation and Spatial Analysis of Knowledge Diffusion” in St Etienne for helpful discussion and to an anonymous referee for many detailed and constructive comments on an earlier version. All remaining errors and omissions are our own. Financial support received by MIUR is gratefully acknowledged.     

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.     

R&D spillovers and employment: evidence from European patent data

In this paper we investigate the role of patents in the relationship between R&D activity, spillovers and employment at the firm level. A reduced-form labour demand equation is estimated. Our analysis is based upon a dataset consisting of 879 R&D-intensive manufacturing firms worldwide for which information was collected for the period 2002–2010. We use data from all EU R&D investment scoreboard editions issued every year until 2011 by the JRC-IPTS (scoreboards). Since the innovation output of the industrial strategy of every firm is the number of patents, the main contribution to the existing literature is to investigate also the impact of patents/R&D ratio and patents/spillovers ratio on employment level. The empirical results suggest a significant impact of R&D spillover effects on company employment although the results differ substantially according to the spillover stock, which may considerably affect policy implications.     

Evaluating the performance of non-Bayesian regulatory mechanisms

This paper compares the performance of two prominent non-Bayesian regulatory mechanisms: Sappington and Sibley's (1988) Incremental Surplus Subsidy (ISS) and Hagerman's (1990) refinement of the Vogelsang-Finsinger (1979) mechanism. The two mechanisms are shown to induce identical, non-zero levels of abuse—unproductive expenses that benefit the firm—though neither induces pure waste. ISS pareto-dominates the Hagerman mechanism when lump-sum transfers to the firm are non-distortionary, but the Hagerman mechanism generates greater welfare and consumer surplus when the distortionary effects of transfers are large. For a wide range of intermediate parameter values, the quantitative difference in performance between the two mechanisms is surprisingly modest.This paper has benefited from the comments of Keith Crocker, Steve Hackett, John Mayo, David Sibley, Ted Stefos, Lester Taylor, two anonymous referees, and seminar participants at the 1992 American Economic Association meetings, the Tenth Annual Eastern Conference of the Rutgers University Center for Research in Regulated Industries, the Pennsylvania State University, GTE Laboratories, and the Management Science Group, Department of Veterans Affairs, Bedford, Massachusetts.     

Symmetric Cournot oligopoly and economic welfare: a synthesis

Summary Recently, Mankiw-Whinston (1986) and Suzumura-Kiyono (1987) have shown that socially excessive firm entry occurs in unregulated oligopoly. This paper extends this excess entry results by looking into strategic aspects of costreducing R&D investment that creates incentives towards socially excessive investments. In the first stage, firms decide whether or not to enter the market. In the second stage, firms make a commitment to cost-reducing R&D investment. In the third stage, firms compete in output quantities. It is shown that the excess entry holds even in the presence of strategic commitments.This is the synthesized version of the two earlier papers, Okuno-Fujiwara and Suzumura (1988) and Suzumura (1991). We are grateful to Professors J. Brander, D. Cass, M. Majumdar, A. Postlewaite, J. Richmond, A. Sandmo, B. Spencer and J. Vickers for their helpful comments and discussions on earlier drafts. Needless to say, they should not be held responsible for any remaining defects. Financial supports from the Japan Center for Economic Research, Tokyo Center for Economic Research, the Japanese Ministry of Education, and the Institute for Monetary and Economic Research, the Bank of Japan are gratefully acknowledged.     

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.     

Employment And Mobility Of Workers In Industries With Different Intensity Of Innovation: Evidence On Italy From A Panel Of Workers And Firms

In this paper a panel of workers and firms is used to investigate employment composition and dynamics in industries which differ by innovation intensity. To define the latter industry-wide statistics were used (for a subset of 2,800 firms, individual data on R&D expenditures and investments in innovative processes were available from a survey on manufacturing). Firms and workers are observed over the period 1985–1991. The paper document an high rate of labour turnover. Annual separation rates are high in all size-classes, but they decline from 50% in small firms (less than 20 employees) to 13% in large ones (with more than 1,000 employees). Separations are inversely related to an industry's innovative intensity (from 18% in the highly innovative industries to 31% in the traditional industries). A logit model, which controlled for the characteristics of workers and firms, showed that the probability of separation is higher among manual and young workers and decreases monotonically with the firm size. The probability of separation declines as job tenure and, perhaps more importantly, the individual's wage increases. After controlling for these factors, the evidence suggests that the highest probability of separation is in traditional industries, the lowest is in the more innovative industries. The result is strengthened when firm-level data on R&D and other innovative expenditures are used. Other things being equal, firms that invest in R&D have a more stable labour force, and firms that invest in non-innovative processes have a less stable labour force. We therefore find empirical evidence to support the hypothesis that more innovative firms cultivate more durable employer-employee relationships. The fraction of job-to-job moves (with no intervening period of unemployment) on total separations qualifies the turnover of workers. Controlling for firm size, the percentage of job-to-job moves increases fairly regularly with worker's skills and with the industry's innovative intensity. Thus the innovative intensity of he industry appears to have a positive effect on the share of job-to-job moves, while there is some evidence that it lowers the chances of separation. This result may be linked to the skills and specialisations of the workforce; it is certainly related to the higher demand for labour in the High Tech Sectors (where employment is growing) relative to the less innovative sectors.     

Impact of firm size and industry type on R&D efficiency throughout innovation and commercialisation stages: evidence from Korean manufacturing firms

Technological innovation through R&D is a critical element in enhancing and fostering firm performance. In particular, measurement of R&D efficiency throughout the innovation and commercialisation stages is important. However, almost of R&D efficiency-related studies assumed that R&D is a single stage. This study aims at analysing relative efficiency scores throughout the stages of the R&D process using a two-stage data envelopment analysis (DEA) model with a sample of 1039 Korean manufacturing firms. Based on our preliminary results, this study was extended by comparing subsample groups categorised by firm size and industry type. The key findings include: (1) firms show imbalanced R&D efficiency throughout the two stages and (2) R&D efficiency is different by firm size and industry type. The empirical results and findings may assist policy- and decision-makers to enhance R&D efficiency at the firm level. Moreover, introduction of the two-stage DEA model and comparative analysis methods to firm-level data contributes to scholars.     

Firm size and types of innovation

We propose a general theory of innovation that illustrates the relative benefits of performing process versus product R&D when firm size is endogenous. A firm's size, scope, and R&D portfolio are shown to reflect the same underlying characteristic of the firm, namely manufacturing efficiency. We demonstrate that efficient firms become larger, have greater scope, and perform more of both process and product R&D. In light of decreasing returns to R&D, this implies small firms obtain more product innovations per dollar of R&D than large firms, which is consistent with evidence we present that small firms are more innovative than large firms as they obtain more patent counts and citations per dollar of R&D.     

Business type,industry value chain,and R&D performance: Evidence from high-tech firms in an emerging market

This study focuses on how the business type and technological learning mode, which a high-tech firm chooses based on its core competence, influence the firm's R&D strategies, which in turn affect firm performance. This study also explores how the interaction between a firm's business type and industry value chain stage affects the relationship between R&D investments and operating performance. We suggest that the linkage of R&D investments and operating performance will increase gradually, when firms move from contract manufacturing to own brand business. R&D investments can contribute more to performance when firms adopt the hybrid business type. Furthermore, R&D investments generate more significant benefits for the own brand companies than the contract manufacturers at the same stage of the industry value chain. R&D investments of the downstream contract manufacturers have a negative impact on firm performance. Regardless of business type, firms in the upstream (midstream) stage of the industry value chain outperform downstream stage firms in deriving benefits from R&D activities. Finally, the lagged effects of R&D investments on operating performance are affected by the interaction between business type and industry value chain.     

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.     

How effective are level-based R&D tax credits? Evidence from the Netherlands

This article examines the impact of the R&D fiscal incentive programme on R&D by Dutch firms. Taking a factor demand approach, we measure the elasticity of firm R&D capital accumulation to its user cost. Econometric models are estimated using a rich unbalanced panel of firm data covering the period 1996 to 2004 with firm specific R&D user costs varying with tax incentives. Using the estimated user cost elasticity, we perform a cost–benefit analysis of the R&D incentive programme. We find some evidence of additionality suggesting that the level based programme of R&D incentives in the Netherlands is effective in stimulating firms’ investment in R&D. However, the hypothesis of crowding out can be rejected only for small firms. The analysis also indicates that the level based nature of the fiscal incentive scheme leads to a substantial social deadweight loss.     

Managerial compensation and R&D investments: the role of the external managerial labour market

This paper investigates the importance of the external managerial labour market in the determination of managerial compensation and in the influence of the compensation incentives on a firm’s R&D investments. I design an empirical model including the compensation adjustment regression, of which the focus is the role of the external labour market, and the R&D regression that examines how the compensation incentives derived from the external labour market affect a firm’s R&D intensity. Empirical results suggest that the R&D intensity is positively related to the premium of the actual pay adjustments over the expected pay adjustments based on the external labour market comparisons. The effect of the compensation incentives on the R&D investments is strongest when managers expect pay to decrease but actually experience an increase in pay.     

Technological districts localized spillovers and productivity growth. The Italian evidence on technological externalities in the core regions

Technological R&D externalities are the effects on the technological capacity of each firm stemming from the complementary and interrelated activities of R&D activities of other firms that operate both in the same industry and in other industries. R&D technological externalities are specially influential at the regional level. Regional proximity enhances the circulation of information, the opportunities for external learning; the scope for capitalizing on potential complementarities among the variety of firms and the different R&D activities being carried out by each firm, and the opportunity for technological networking. The empirical evidence on core regions in Italy in the 1980s confirms that regional clustering of complementary and interrelated R&D activities facilitated the emergence of technological districts. Firms located within technological districts benefited enormously from the R&D technological externalities spilling out from the complementary and interrelated R&D activities of other firms localized in the same area. Consequently, firms localized within technological districts had fast rates of introduction of technological innovations which, in turn, made it possible for total factor productivity levels to be raised with comparatively low levels of intra-muros R&D expenses.