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.     

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.     

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.     

Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms

Both research and development (R&D) and information and communication technology (ICT) investment have been identified as sources of relative innovation underperformance in Europe vis-à-vis the USA. In this article, we investigate the R&D and ICT investment at the firm level in an effort to assess their relative importance and to what extent they are complements or substitutes. We use data on a large unbalanced panel data sample of Italian manufacturing firms constructed from four consecutive waves of a survey of manufacturing firms, to estimate a version of the CDM model of R&D, innovation, and productivity [Crépon–Duguet–Mairesse 1998. Research, innovation and productivity: An econometric analysis at the firm level. Economics of Innovation and New Technology 7, no. 2: 115–58] that has been modified to include ICT investment and R&D as the two main inputs into innovation and productivity. We find that R&D and ICT are both strongly associated with innovation and productivity, with R&D being more important for innovation, and ICT investment being more important for productivity. For the median firm, rates of return to both investments are so high that they suggest considerably underinvestment in both these activities. We explore the possible complementarity between R&D and ICT in innovation and production, but find none, although we do find complementarity between R&D and worker skill in innovation.     

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 productivity impact of R&D investment: are high-tech sectors still ahead?

Our aim is to investigate the relationship between a firm's R&D expenditures and its productivity, looking at sectoral peculiarities. We use a unique longitudinal database consisting of 1809 US and European manufacturing and service firms over the period 1990–2008. Our main findings can be summarised as follows. Consistently with previous literature, the knowledge stock has a significant positive impact on a firm's productivity. More interestingly, the coefficient turns out to be significantly larger in the R&D-user services and high-tech manufacturing sectors than in the non-high-tech manufacturing sectors. Contrary to the ‘latecomer advantage’ approach, these outcomes suggest that firms in high-tech sectors are still ahead in terms of impact on productivity of R&D investments.     

R&D strategy and innovation performance: the role of standardization

Firms now increasingly recognise the important role of R&D strategy in building technological advantage. However, few attempts have linked standardisation with specific R&D strategies in explaining innovation performance. To bridge this gap, this study empirically examines the relationships between R&D strategies, standardisation, and firms’ innovation performance. Based on a sample of 371 firms in China, we use structural equation modelling (SEM) and find that novelty-oriented R&D strategy generates greater accumulation of standardisation knowledge and standards diversity, while R&D openness only positively relates to this standardisation knowledge accumulation. Moreover, standardisation knowledge accumulation is positively related to both administrative and technical innovation performance, while a greater variety of standards only leads to higher administrative innovativeness. More importantly, our results reveal that accumulation of standardisation knowledge mediates the relationships between R&D novelty and administrative and technical innovation performances. Both the theoretical and practical implications that arise from these findings are discussed.     

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.     

Spillovers,product innovation and R&D cooperation: a theoretical model

ABSTRACT

We analyze the impact of post-innovation knowledge spillovers on firms’ decisions to invest and cooperate in R&D, forming a research joint venture (RJV). We study the case of two potential investors involved in a non-tournament stochastic competition for developing a new but imitable product. We propose a theoretical model where cooperation may emerge as a subgame perfect Nash equilibrium of a three-stage game. In the first stage, firms decide whether to cooperate; in the second, they decide whether to invest; and in the third, they compete. We show that firms cooperate in R&D when the spillovers are high enough and the fixed costs associated with R&D activities are low enough; however, our analysis suggests that forming an RJV may not always be socially optimal, and subsidizing R&D cooperation may not be efficient. We propose an optimal scheme of subsidies, which should be designed according to the intensity of the spillovers, the level of the R&D costs, and the probability of innovation success. Finally, we show that in the case of mergers the private incentive to invest is maximized, and firms may not need public subsidies to cooperate. When subsidies are costly, not hindering mergers may be the second-best solution.     

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.     

A comparative analysis of the change in R&D efficiency: a case of R&D leaders in the technology industry

This paper measures the cumulative change in research and development (R&D) efficiency of globally leading R&D companies in the technology industry. We use Data Envelopment Analysis /Malmquist index to analyse 49 such companies. The change in R&D efficiency is analysed by decomposing the Malmquist index into ‘catch-up’ and ‘frontier shift’ indices, and by comparing cumulative indices to those at the starting period. Those cumulative indices are obtained at both a firm and an industry level. Results indicate that the overall R&D efficiency of these globally leading R&D companies declined slightly during the period 2007–2013. At a firm level, this study determines in detail how the trend of each firm in R&D activities differs from other companies.     

The influences of different R&D types on productivity growth in OECD countries

Productivity has become an important concern for the sustainable development and growth of a country. Countries, such as those in the Organization for Economic Cooperation Development (OECD), that actively innovate and conduct Research and Development (R&D) activities always have high productivity growth, with research to date examining the positive influences of R&D on productivity. R&D activities are classified into three types: basic research, applied research and experimental development. To test the different influences of the different R&D types, panel data from 23 OECD countries for the period 1996–2010 have been constructed and the Data Envelopment Analysis method is used to measure and decompose productivity growth. Moreover, based on Mansfield's [“Basic Research and Productivity Increase in Manufacturing.” The American Economic Review 70: 863–873] model, the influences of each R&D type on productivity growth are tested. The empirical tests show that R&D investments in experimental development and applied research have a positive effect on productivity growth in the immediate period; basic research influences productivity growth with a lengthier lag, even up to three periods.     

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.     

Location factors of international R&D activities: an econometric approach

A model is developed of the relation between adoption of an innovation by firms and firm size. Decision making is represented as a group assessment of the perceived ratio between expected returns after succesful introduction, and the risk that implementation will fail or will last too long to makc adoption worth while. In view of differences in thc assessment of uncertainty and corresponding demands on the perceived return-to-risk ratio, among influencers of decisions in the firm, decision making is taken as stochastic, with a probability of adoption related to (objective) net benefits, and probability of non-adoption related to risk. The model gives a new way of looking at the fact that small firms lag behind in the adoption of new technology. In contrast with previous models proposed by David and Davies the explanation has nothing to do with there being some critical size below which adoption is not profitable. The present model explains the adoption lag for smaller firms as the result of expected returns being proportional to size while risk of failed implementation is independent of size. The model is tested and estimated empirically on data for the adoption of computers in small scale retailing, in the Netherlands.     

Effect of proximity on recombination innovation in R&D collaboration: an empirical analysis

Recombination innovation is a process of creatively combining different knowledge domains in an invention. Recombination innovation in R&D collaboration – joint recombination process, which is integration of the organisation’s internal knowledge with the partner’s new knowledge, serves as the stepping stone of the knowledge search in the technological space. This paper tries to illuminate how different dimensions of proximity of the collaborating partners affect the probability of the collaborative innovation to be recombination innovation. Our result shows that technological proximity has a negative effect on joint recombination innovation. Geographical proximity has an inverted U-shaped effect on joint recombination innovation. The positive effect of organisational proximity on joint recombination innovation is not supported.     

The contribution of the publicly‐funded R&D capital to productivity growth and an application to the Greek food and beverages industry

This paper follows the dual‐cost function methodology and develops a theoretical specification that assesses the contribution of public R&D capital to the productivity growth. The empirical application focuses on the Greek food and beverages industry. For this purpose it employs a micro‐aggregated annual data set over the period 1976–2002. The regression analysis shows that publicly‐funded R&D capital is a productive input as 8.7% and 7.3% of the total factor productivity growth in the food industry and in the beverages industry respectively is attributed to the publicly‐funded R&D capital. The relationship between publicly‐funded R&D and privately‐purchased inputs is also examined.     

Assessing the influence of differentiation strategy and R&D subsidies on R&D cooperation

This paper explores the R&D cooperation determinants of the innovative companies belonging to the Spanish manufacturing sector. Our findings suggest that the variable R&D subsidy is endogenous, significant, and has a strong positive influence on R&D cooperation. This is a clear indication that the achievement of public aid is often conditioned by the obligation for companies to cooperate in R&D. We have also found that the differentiation strategy variable is significant and has a negative influence on R&D cooperation. Companies positioned in a differentiation strategy probably own and use some different knowledge from other companies. Consequently, they will not have much interest in taking advantage of the spillovers generated by other companies. It is therefore logical that they are reluctant to establish cooperation agreements on R&D. Therefore, companies positioned in the differentiation strategy need public policies to support R&D that are not conditioned to the establishment of cooperation agreements.     

Social capital,knowledge sharing,and innovation capability: an empirical study of R&D teams in Iran

Effectively encouraging employees to share valuable knowledge can increase and sustain a firm's competitive advantages. This study adopted an integrated approach to understand casual relationships among knowledge sharing (KS) enablers (social capital factors), mechanism of forming KS behaviours (knowledge collecting and knowledge donating) through individuals’ KS intention, and KS outcome (innovation capability) within research and development teams. The research model was developed by reviewing literature and tested with survey data collected from 230 employees in multiple companies in Iran. Results of partial least squares analysis indicated that social interaction ties (as a structural capital factor), trust, reciprocity, and team identification (as relational capital factors) significantly associated with KS intention. KS intention, in turn, was significantly related to KS behaviours (knowledge colleting and knowledge donating). In addition, findings revealed that members’ willingness to collect and donate knowledge can affect team innovation capability. This study also discusses the implications for fostering social capital and KS behaviours to enhance team innovation capability.     

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.