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.     

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.     

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.     

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.     

The productivity effects of local R&D outsourcing: the moderating role of subsidiary mandate and internal R&D

This study examined the moderating effects of two kinds of internal R&D (parent R&D and subsidiary R&D) on the relationship between local R&D outsourcing and subsidiary productivity as internal R&D challenges the collaborative relationships in the local environment. Due to the specific feature of a subsidiary mandate, we further investigate whether two distinct kinds of internal R&D have different moderating effects between exploitation-oriented subsidiaries and exploration-oriented subsidiaries, based on a sample of longitudinal data set of 263 Taiwan-based manufacturing subsidiaries over the period 2006–2009. The empirical results show that for exploitation-oriented subsidiaries parent R&D plays a significant and negative moderating role on the impact of local R&D outsourcing based on local collaboration, while a positive moderating role is observed with parent R&D and subsidiary R&D for exploration-oriented subsidiaries.     

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.     

Advertising and R&D: theory and evidence from France

Advertising and innovation are two engines for firms to escape competition and improve profits. We propose a model that encompasses both the static and dynamic interactions between R&D, advertising and competitive environment. It provides three main predictions. First, for a given competitive environment, quality leaders spend more in advertising in order to extract maximal rents; thus, lower costs of ads may favor R&D. Second, the inverted-U relation between competition and R&D still holds with the introduction of advertising. Third, more competition is associated with on average more advertising expenditures. Empirical evidence from a large panel of 59,000 French firms over 1990–2004 supports these three properties.     

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.     

Cooperative vs. non-cooperative R&D incentives under incomplete information

This paper studies incentives for cooperative research vis-à-vis non-cooperative research in an incomplete information framework. We show that with quantity competition under asymmetric information, the expected payoff from non-cooperative research goes down compared to the case of symmetric information; hence research joint venture incentives of the firms are larger under asymmetric information. In either case, however, the larger is the size of the cost-reducing innovation the lower is the incentive for cooperative research. Finally, in our model, incomplete information does not affect the consumers' welfare, but the firms become worse off.     

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.     

Impact of R&D expenditures,rainfall and temperature variations in agricultural productivity: empirical evidence from Bangladesh

ABSTRACT

This study aims to investigate dynamic relationships between research and development (R&D) expenditure, climate change (measured by annual rainfall and temperature variations), human capital (proxied by literacy) and total factor productivity (TFP) growth in Bangladesh agriculture. Pesaran’s Pooled Mean Group (PMG) estimator is used to a unique panel data of 17 regions of Bangladesh covering a 61-year period (1948–2008). In addition, the panel vector autoregression (PVAR) model is also applied to trace the responsiveness of TFP from a shock to R&D, extension services, and literacy rate. Results reveal that R&D has an insignificant impact on TFP in the short-run, while it has a significant positive impact in the long-run. The contributions of climate variables (i.e., rainfall and temperature variations) are highly significant and negative in the long run. The literacy rate is found to have a significant positive impact on TFP as expected. These results suggest that agricultural R&D investment and human capital could play an important role to ameliorate the adverse effects of climate change in the agricultural sector of Bangladesh.     

Infra-industry spillovers and R&D cooperation: Theory and evidence

We analyse both the theoretical and the empirical side of the issue of R&D spillovers. Each firm's R&D costs are increasing in the amount of information transmitted to other firms, and we account for the possibility that firms control spillovers. We consider both Cournot-Nash and Cournot-Stackelberg behavior. The empirical analysis suggests that (i) firms' control on spillovers is relatively low; (ii) the cost-saving effect associated to joint ventures or R&D cartels is confirmed for industries where firms rely mainly upon own R&D as a source of innovation; (iii) R&D cooperation may increase information sharing, thereby enhancing spillovers.     

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.     

Innovation and productivity in family firms: evidence from a sample of European firms

ABSTRACT

Using firm-level data, we estimate the returns to R&D investments for a sample of European manufacturing firms over the period 2007–2009. Results confirm that R&D efforts are positively related to productivity regardless of firm type (family or nonfamily firms). Additionally, we find that family firms invested more in R&D than nonfamily firms, but the returns to their R&D investments are low, emphasizing that they have a lower capacity to translate R&D investments into economic gains.     

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.     

Battle royal in biotechnology: R&D vs. product vs. process innovations

Companies regard innovation as a central element of their business. However, as not all innovation types are the same, the central question is: should their announcements bring about the same effect on performance? This article analyses potential differences in firm value derived from the innovation-type announcements ‘R&;D’, ‘product’, and ‘process’, made by intensive news-generating firms such as biotech companies. The empirical application shows a significantly positive reaction to innovation announcements, with the prospect of future innovation (‘R&;D’ investment announcements) having greater impact on firm value than ‘product’ and ‘process’ innovations. Firm experience also acts as a moderator in this innovation–performance relationship, which is particularly relevant for entrepreneurs who need to develop and send credible signals indicating the value of the firm's intangible assets to the market.     

R&D,export and investment decision: evidence from European firms

This article provides an empirical investigation of the mechanism through which R&D influences export and tangible investment decisions. The analysis is based on a large representative and cross-country comparative sample of manufacturing firms across seven European countries. The novelty of this work lies in the three aspects. First, we expand the results on the R&D–export and R&D–investment relationships to a wide sample of cross-European firms. This differentiates from previous works based on single-country samples. Second, to the best of our knowledge, this study is the first in years which assess empirically the relationship between R&D and tangible investment at the micro level. Third, we control for endogeneity of R&D and simultaneity in firms’ decision whether to export and carry out tangible investment. The results of the analysis suggest that R&D positively affects export propensity and tangible investment. The results also reveal that neglecting endogeneity and simultaneity issues leads to underestimate the effect of R&D to both export and investment propensities.     

Vertical R&D Spillovers,Cooperation, Market Structure,and Innovation

This paper studies vertical R&D spillovers between upstream and downstream firms. The model incorporates two vertically related industries, with horizontal spillovers within each industry and vertical spillovers between the two industries. Four types of R&D cooperation are studied: no cooperation, horizontal cooperation, vertical cooperation, and simultaneous horizontal and vertical cooperation. Vertical spillovers always increase R&D and welfare, while horizontal spillovers may increase or decrease them. The comparison of cooperative settings in terms of R&D shows that no setting uniformly dominates the others. Which type of cooperation yields more R&D depends on horizontal and vertical spillovers, and market structure. The ranking of cooperative structures hinges on the signs and magnitudes of three "competitive externalities" (vertical, horizontal, and diagonal) which capture the effect of the R&D of a firm on the profits of other firms. One of the basic results of the strategic investment literature is that cooperation between competitors decreases R&D when horizontal spillovers are low; the model shows that this result does not necessarily hold when vertical spillovers are sufficiently high, and/or when horizontal cooperation is combined with vertical cooperation.     

The impact of R&D subsidy on innovation: evidence from New Zealand firms

This study examines the impact of government subsidy through R&D grants on innovation output for firms in New Zealand. Using a large database that links administrative and tax data with survey data, we find that R&D grants have a stronger effect on more novel innovation (e.g. applying for a patent or introducing new products to the world) than on incremental innovation (e.g. any product innovation) and that larger, project-based grants are more effective at promoting innovation than smaller, non-project-specific grants. There is little evidence that R&D grants have differential effects between smaller (<50 employees) and larger firms.