R&D and productivity growth: Evidence from the UK

Although the econometric evaluation of R&D has attracted wide interest in many countries, it has not attracted much in the UK. The main objective of this paper is to fill this void, i.e., to estimate the impact of R&D on productivity growth of the UK manufacturing sector. However, there are some additional objectives. Firstly, we estimate the impact of R&D on productivity growth of large and small firms and we discuss a number of theoretical arguments regarding the role of firm size. Secondly, given that the technological infrastructure influences the innovative capacity of a firm, we compare the impact of R&D on productivity growth of high-tech firms with the corresponding impact on productivity growth of low-tech firms. Thirdly, we investigate whether the contribution of R&D to productivity growth has changed over time.

Based on firm-level data (78 firms, 1989–2002), we find that the contribution of R&D is approximately 0.04. Although the R&D-elasticity of large firms (0.044) is higher than the corresponding elasticity of small firms (0.035), the difference is small. In contrast, the R&D-elasticity is considerably high for high-tech sectors (0.11), but statistically insignificant for low-tech sectors. Finally, the investigation of the elasticity of R&D over time revealed an interesting discontinuity showing that although until 1995 the R&D-elasticity was approximately zero, after 1995 it increased dramatically to 0.09. We investigate the potential causes of such non-linearity and we suggest a number of possible explanations.     

R&D and productivity: Internal vs. external R&D - evidence from west german manufacturing industries

The paper explores the productivity effects of investment in external (contract) vs. internal (in-house) R&D in a sample of West-German Manufacturing Industries. The results provide strong evidence of a positive relationship between productivity and the share of external R&D in total R&D. This result is robust to alternative econometric specifications. Thus, findings suggest that the decision between internal and external R&D does matter. Moreover, results imply a nonlinear relationship between productivity and the share of external R&D for higher-technology industries, hinting at decreasing productivity effects of an increasing share of external in total R&D.     

Informality,innovation, and aggregate productivity growth

This paper investigates how the costs of innovation in the formal sector temper or magnify the impacts of traditional policy levers such as taxation on sectoral choice. I embed a decision whether to operate formally or informally into a richer, general equilibrium model. Formal firms are subject to taxation, but they can improve their productivity through process innovation. Informal firms can potentially avoid taxation, and their productivity is determined by productivity growth in the formal sector. I find that changing tax rates from 50% to 60% decreases formal‐sector participation by 20.9%; however, this percentage falls by 10% when the cost of innovation is lower in the formal sector. The model also illustrates how changes in tax policy affect total factor productivity growth by limiting both the number of formal‐sector firms and the intensity of innovation. These results indicate a potential mechanism to induce firms to operate formally or mitigate harmful impacts of necessary tax changes.     

Link between innovation and productivity in Canadian manufacturing industries

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980–1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.     

Dynamic models of R & D,innovation and productivity: Panel data evidence for Dutch and French manufacturing

This paper introduces dynamics in the R&D-to-innovation and innovation-to-productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated across equations and that differ in the way innovation enters the conditional mean of labor productivity: through an observed binary indicator, an observed intensity variable or through the continuous latent variables that correspond to the observed occurrence or intensity. It estimates these models by full information maximum likelihood using two unbalanced panels of Dutch and French manufacturing firms from three waves of the Community Innovation Survey. The results provide evidence of robust unidirectional causality from innovation to productivity and of stronger persistence in productivity than in innovation.     

E-commerce,R&D,and productivity: Firm-level evidence from Taiwan

This study investigates the impact of e-commerce and R&D on productivity, using a unique panel dataset obtained from Taiwanese manufacturing firms for the period from 1999 to 2002. We specifically consider the network externalities of e-commerce and employ the system generalized method of moment (GMM) technique to deal with the endogenous problem of e-commerce adoption. The empirical results show that both e-commerce and R&D capital have a positive influence on productivity, while R&D exhibits a larger productivity-enhancing effect. We also find a complementary relationship between e-commerce and R&D on enhancing productivity. Crucially, the inter-industry network externality of e-commerce significantly contributes to productivity.     

Mapping research on R&D,innovation and productivity: a study of an academic endeavour

ABSTRACT

This paper accounts for the development of the academic endeavour to determine the firm-level relationship between investments in R&D and productivity. The impact of 28 highly cited publications within this line of study is investigated using a combination of bibliometric techniques and citation function analysis. We show how the attention paid to this line of research broadens and deepens in parallel to the diffusion of innovation as a research theme during 2000s. Our findings also suggest that the attraction of scholarly attention is driven by combination of broadening interest in the central research question under study and boundary-pushing methodological contributions made in the key contributions.     

Productivity, innovation and R&D: Micro evidence for Italy

By exploiting a rich firm level data-base, this paper presents novel empirical evidence on the effect of process and product innovations on productivity, as well as on the role played by R&D and fixed capital investment in enhancing the likelihood of introducing innovations at the firm level. Our results imply that process innovation has a large impact on productivity. Furthermore, R&D spending is strongly positively associated with the probability of introducing a new product, whereas fixed capital spending increases the likelihood of introducing a process innovation. The latter result might reflect the fact that new technologies are frequently embodied in new capital goods. However, the effect of fixed investment on the probability of introducing a process innovation is magnified by R&D spending internal to the firm. This implies that R&D can affect productivity growth by facilitating the absorption of new technologies.     

Environmental regulations,induced R&D,and productivity: Evidence from Taiwan's manufacturing industries

This paper examines whether stringent environmental regulations induce more R&D and promote further productivity in Taiwan. Using an industry-level panel dataset for the 1997–2003 period, empirical results show that pollution abatement fees, a proxy for environmental regulations, is positively related to R&D expenditure, implying that stronger environment protection induces more R&D. On the other hand, pollution abatement capital expenditures do not have a statistically significant influence on R&D. Further evaluation of the influence of induced R&D by environment regulations on industrial productivity shows a significant positive association between them. This finding supports the Porter hypothesis that more stringent environmental regulations may enhance rather than lower industrial competitiveness.     

Service-sector competition,innovation and R&D

The central prediction of the Aghion, Bloom, Blundell and Howitt model is an inverted U-shaped relationship between innovation and competition. The model is built on the assumption of a product market and has not yet been tested on the service sector. Using detailed firm-level data on Swedish service-sector firms, we find evidence of an inverse U-shaped relationship for exporting service-sector firms. A further breakdown of innovation expenditures shows that the inverse U-shaped pattern holds for intramural R&D and training, but not for extramural R&D. Finally, the results indicate that as competition increases, small firms tend to seek strategic alliances with competitors, whereas large firms tend to reduce collaboration with competitors. The behavior of large firms can partly be due to their superior capacity to handle innovation projects internally, which will become more important if increased competition results in higher pay-offs to innovation.     

Accounting for the recent surge in U.S. patenting: changes in R&D expenditures,patent yields,and the high tech sector

We decompose the recent patent increase into components representing (1) an increase in resources made available to research and development, (2) an across-the-board rise in the patent yield of an R&D dollar, and (3) changes in the patent yield in individual industries. Two high tech fields, computer hardware and pharmaceuticals, account for 22 percent of the patent increase. While these two industries had the fastest R&D growth among the industries we study, the pharmaceutical industry experienced a decline in its patent yield, limiting its patent growth. We show that increased R&D spending accounts for 70 percent of the patent increase. We discuss our results in the context of alternative hypotheses of the patent surge. We also compare our results to the anecdotal evidence of firm R&D performance at the industry level.     

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 impact of external R&D financing on innovation process from a supply-demand perspective

This paper sheds light on the effects of two different types of R&D financing sources respectively from a supply-demand combined perspective, namely subsidy from government and venture capital in market, on the innovation process. Our empirical analysis is based on a unique data set of industrial enterprises located in Beijing ZhongGuanCun Science Park during the period 2008–2015. In terms of the two stages of the innovation process, this paper untangles and compares the effects of the two financing sources on R&D input, patent output as well as profit outcome. We find that both supply- and demand-side external R&D financing channels have differential effects on the innovation process in terms of input, output or outcome as well as the different-sized enterprises. Supply-side subsidy tends to be more effective at the front end of the innovation process, while venture capital shows a demand-side consideration on technology evolution by focusing more on the back end of the innovation process. Both government subsidy and venture capital can have a significantly positive impact on the entire innovation process of small and micro enterprises, whereas for large and medium-sized enterprises, subsidy has no significant impact on profit outcome and venture capital can only affect patents positively. These findings suggest that the Chinese government should focus more on small and micro firms and increase such firms’ access to venture capital through a process of certification, so as to achieve an effective combination of government functions and market functions.     

R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data

This paper uses a comprehensive firm level data set for the manufacturing sector in Italy to investigate the effect of government support on privately financed R&D expenditure. Estimates from a non‐parametric matching procedure suggest that public assistance has a positive effect on private R&D investment in the sense that the recipient firms achieve more private R&D than they would have without public support. This indicates that the possibility of perfect crowding out between private and public funds can be rejected. Furthermore, in this sample of Italian firms, tax incentives appear to be more effective than direct grants. The paper also examines whether public funding affects the financial sources available for R&D and finds that grants encourage the use of internal sources. The results also show some evidence of positive effects on credit financing for R&D.     

Cooperation or competition in R&D when innovation and absorption are costly

This article analyzes cost-reducing R&D investments by firms that behave non-cooperatively or cooperatively. Firms face a trade-off between allocating their R&D investments to innovate or to imitate (absorb). We find that the non-cooperative behavior not only induces more imitation (absorption) but also, for the most part, more innovation investments. Only the cooperative behavior, however, ensures that R&D investments are allocated efficiently to innovation and to imitation (absorption) in the sense that any given amount of industry-wide cost reduction is obtained for the minimum overall R&D costs.     

R&D and productivity: evidence from large UK establishments with substantial R&D activities

ABSTRACT

We use Office for National Statistics' micro data for large UK establishments in the production industries in the period 1997–2008 to study the relationship between their productivity and the presence of substantial R&D activities, either at the production unit itself, or at other UK reporting units owned by the same enterprise group. We estimate that total factor (revenue) productivity is on average about 14% higher at the establishments which have substantial R&D themselves, compared to those with no R&D. Among the establishments with no R&D themselves, we estimate that productivity is on average about 9% higher at those which belong to enterprise groups which do have substantial R&D elsewhere in the UK in the same sub-sector. For the establishments with substantial R&D themselves, we also estimate a significant positive relationship between current productivity and past R&D expenditure using dynamic specifications which allow for both establishment-specific ‘fixed effects’ and a serially correlated error component.     

Decomposing productivity growth and divergence: an index number approach

We propose a cross-country productivity growth decomposition that allows us to quantify the industry-level contributors to an aggregate productivity growth differential. We deploy this cross-country decomposition to quantify—for the first time—the disaggregate contributors to the divergence in market sector productivity growth between Australia and New Zealand. The results suggest that large contributions to the divergence arise from differences in labour growth across the two countries and that cross-country structural differences are large, and generally act to reduce the divergence. Most of the industries are found to add to the divergence, with particularly large contributions coming from differences across the mining and wholesale trade industries. The views expressed in the paper are entirely my own, and do not necessarily reflect those of the Reserve Bank of New Zealand. I would like to thank Les Oxley and Kevin Fox for useful comments on earlier drafts. All errors and omissions are my own.     

R&D,productivity, and exports: Plant-level evidence from Indonesia

This study examines the relation between productivity and exports in Indonesian manufacturing firms by taking account the endogenous choice of R&D. We first examine the determinants of R&D activity and find that exporting activity contributes positively to plants' R&D activity, while multinational corporate do not have a higher R&D propensity. The simultaneous estimates on the interrelation of R&D, productivity, and export show that R&D has a positive impact on both productivity and exports, suggesting the importance of R&D to Indonesian economic growth. It suggests also a two-way causality between productivity and exports, implying the coexistence of self-selection and learning-by-exporting effects in Indonesian manufacturing sector.