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.     

R&D in Indian manufacturing enterprises: what shapes it?

The article examines the factors influencing research and development (R&D) in manufacturing entities. Using data on a large sample of companies for the period 1995–2007, the finding indicates that large companies have a higher probability of pursuing R&D, although with lower intensity. In terms of magnitudes, a 10% increase in firm size raises R&D intensity by roughly 0.6%. Both the intensity and the probability of undertaking R&D initially declines for older firms. Outward orientation, and especially foreign currency earnings, has a significant bearing on R&D efforts. R&D efforts are also found to vary significantly across firm ownership.     

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.     

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.     

Exploring the effect of diversification strategy on R&D intensity using quantile regression: evidence from France

This study examines the relationship between firm diversification strategy and R&D intensity for a sample of large French companies between 2008 and 2012. Applying quantile regression, we provide evidence that the choice of diversification affects R&D intensity in a differentiated way. The results indicate that a low level of diversification (below the twentieth quantile) has no significant impact on R&D intensity. Conversely, a moderate or high level of diversification has a negative and significant impact on R&D intensity. These findings suggest that R&D intensity seems to be significantly higher in related-business firms than in unrelated-business firms.     

To what extent do earnings affect the R&D decision of Chinese manufacturing firms?

ABSTRACT

As R&D activities are involved in inherent uncertainty of large investment, high risk and long return periods, earnings, as the main source of internal financing, have been a significant factor of R&D decision in the firms. In contrast to the previous research, this study investigates the impacts of firm’s earnings on R&D decision, in which earnings are measured by the indicators of earnings level, earnings quality and earnings persistence, while separating firm R&D activity into two stages of (i) the decision to undertake R&D activity and (ii) the amount to be invested on innovation activities. We document that earnings level can increase the probability of undertaking R&D activity, but has no effect on R&D investment intensity. Earnings quality and earnings persistence have a promotional effect on both stages of R&D decision. The empirical evidence of the subsamples shows that the impacts of earnings are heterogeneous across different ownership and technology-intensity firms.     

Note and comment. Keynes-plus? Effective demand and changes in firm-level R&D: an empirical note

Analysing changes over time in firm-level R&D efforts, wefind that demand growth in a firm's sector of principal activityhas a positive influence on changes in a firm's R&D effort,confirming Schmookler's (1969) 'demand-pull' hypothesis. Thisfinding points to an aspect of effective demand which has neverbeen directly noticed by Keynes or the Keynesians. Such findingsare important because of evidence in the literature that a firm'sinnovation activities are positively related to employment growth,export intensity and profits.     

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.     

Spillovers and absorptive capacity in the decision to innovate of Spanish firms: the role of human capital

This paper investigates whether the existence of knowledge spillovers and the capacity of firms to assimilate them, which we relate with R&D intensity and some human resource management practices, are associated with the decision to innovate of Spanish firms. In order to do this, we employ data from the ‘Central de Balances’ database, which covers both manufacturing and services firms during the period 2003–2007, and use an estimator proposed by Wooldridge [2005. Simple solutions to the initial conditions problem in dynamic nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics 20, no. 1: 39–54] for dynamic random effects discrete choice models. The empirical exercise provides evidence on the positive link between spillovers and the innovative behaviour of companies, not just for the knowledge generated in the same industry, but also for that generated in the same region or by the public sector. Moreover, this link is stronger for those firms with a higher capacity to absorb those spillovers. This ability not only works through firms’ R&D capabilities, but also through factors such as the quality of the labour force, the share of temporary employment and the amount of resources spent in training. In addition to these factors, we find that innovation performance exhibits a high degree of inertia. Further, some other observed firm characteristics, such as size, sales growth, export behaviour, sector capital intensity or financial structure variables, are also found to be relevant determinants of the likelihood of innovation.     

Domestic R&D and offshoring: does offshoring reduce knowledge production?

An important question in industrialized countries is whether offshoring activities reduce the probability of performing own research and development (R&D) or whether the R&D intensity falls in firms that already have R&D activities. This question is addressed using a unique data set that combines survey and register data. No evidence is found for a lower probability of own R&D after offshoring takes place compared to before. Moreover, offshoring does not lead to lower R&D intensity in general. However, firms that offshore R&D activity have larger R&D intensity after offshoring has taken place, which suggests that R&D performed at home is complementary to foreign R&D.     

An Empirical Analysis of R&D Transactions: Surrogate Technological Networks and Firm Performance

This paper uses statistical data from the annual R&D survey of financial flows received or spent by the firm for R&D activities. To describe R&D networks, attention is focused on the construction of four synthetic proxies from empirical literature on social networks: variety of partners, intensity, regularity of links, and centrality in networks. On the bases of the two available innovation surveys, we explore, through a cross section study, the impact of these different variables on technological performance of firms.     

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.     

Persistence and economic effects of technological innovations: a dynamic and sequential analysis of Uruguayan manufacturing firms

This paper analyzes the long-term relationship between research and development (R&D), innovations and productivity in 400 Uruguayan manufacturing firms during the period 2001–2009 based on a modified version of the structural model of Crepon, Duguet and Mairesse. The paper also analyzes thoroughly the decision of these firms to engage in R&D activities by using a novel categorical dependent variable, which takes three values: non-performance R&D activities, occasional performance or continuous performance over the period. Furthermore, the study investigates whether these manufacturing ?rms innovate persistently or discontinuously over the period. The results suggest a positive link between the intensity of R&D activities and the generation of product and process innovations. They also indicate that innovation probability is temporally persistent at the ?rm-level only for product innovations. Finally, the empirical findings reveal that these technological innovations have a positive effect on firm’s productivity.     

The influence of user-supplier relationship on innovation dynamics of Oil & Gas industry

ABSTRACT

This paper analyses the role of user-supplier relationships in the innovation dynamics of the Oil and Gas (O&G) industry, from an analysis supported by R&D and patent application data. This paper points to some recent interesting phenomena in the O&G sector, such as: (i) the remarkable advancement of two Chinese oil companies; (ii) the significant growth in O&G companies’ technological engagement in exploration and production (E&P) from the 2000s; (iii) the non-negligible increase in the application of O&G companies’ patents for renewable energy. Moreover, by working with the oil and gas chain complete, we show that the performance of the companies oil and gas equipment and services industry (O&GES) is restricted to the upstream activities. Finally, we bring up some arguments that have as objective relativise the typology of R&D intensity adopted by OECD.     

Does Investing in Technology Affect Exports? Evidence from Indian Firms

The authors use firm-level data from Indian manufacturing industries to explore the determinants of exports, focusing on the role played by technology. The empirical analysis, which distinguishes between a firm's decision to export and the volume of its exports conditional on its having decided to export, reveals that investments in technology via R&D and technology transfer agreements can facilitate the entry of Indian firms into export markets. However, their influence on the volume of exports is fairly limited. Factors with a more broad-based influence on both export participation and volumes include labor intensity and, especially, firm size.     

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.     

The effect of outward investment to China on domestic R&D: a two-hurdle model with endogenous ODI

Outward direct investment (ODI) and domestic R&D are interrelated, but empirical evidence is affected by the nature of a firm's data, which are heavily censored. Firm data contain a firm's yes/no decision to invest in China, yes/no decision of R&D, and the decision of R&D intensity. We thus adopt a two-hurdle model and allow the China investment decision to be endogenous in an R&D model in order to examine the effect of ODI in China on domestic R&D investment in Taiwan's electronics industry. In the model, a two-equation simultaneous subsystem is formed, in which three regression equations are specified: a decision of R&D intensity, and a yes/no decision of location to conduct R&D together with a yes/no decision to invest in China Our results indicate that China investment and R&D intensity are positively related such that ODI in China helps to raise significantly a firm's R&D intensity as compared to the estimate if the endogeneity of China investment and the nature of data were not properly accounted.     

INNOVATION ACTIVITIES EXPLAINED BY FIRM ATTRIBUTES AND LOCATION

In this paper, innovation activities of a firm are observed as its R&D spending and participation in three categories of innovation systems. The various factors that can influence a firm's innovation efforts are divided into, (i) firm location reflecting the regional milieu and (ii) firm attributes such as corporate structure, nature of the knowledge production, type of industry and a set of specific firm characteristics. The study is based on information about 2094 individual firms, which may be non-affiliated or belong to a group (multi-firm enterprise). The empirical analysis applies a novel data set to examine the influence of location versus a vector of firm attributes. Among innovative firms, the location of a firm does not influence neither the R&D intensity nor the frequency of interaction in horizontal and vertical innovation systems, when controlling the skill composition, physical capital intensity, industry, firm size and market extension. The paper contributes to the literature by observing that innovative firms have similar characteristics irrespective of where they are located, although the share of innovative firms differs between regions.     

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.     

Reverse causality in the R&D–patents relationship: an interpretation of the innovation persistence

Starting from the failure of the R&D–patents traditional relationship, when time-series and/or within-industry dimensions are included in the empirical analysis, the present work tries to contribute to the empirical literature from two directions. First, it performs a Granger causality test based on the theoretical presumption of a reverse patents→R&D link as an explanation for the failure of the traditional relationship. Second, assuming the reverse patents–R&D causality, we test and interpret the lag structure of such a relationship which shows the effective patent life that firms can expect within the two Schumpeterian patterns of innovations they belong to. In the light of the effective patent life, we offer a further explanation of innovation persistence which overturns the findings of the existing literature on persistence.