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.     

Young leading innovators and the EU's R&D intensity gap

Europe's innovation gap relative to the USA is often attributed to its industrial structure in which new firms do not play a significant role, especially in high-tech sectors. This view of a structural European Union (EU) innovation deficit is popular in European innovation policy discussions, but has received little or no thorough empirical investigation. This article aims to address this ‘evidence gap’. Using industrial R&D Scoreboard data from leading world innovators, we find that compared to the USA, the EU has fewer young firms among its leading innovators. Using a decomposition analysis, we show that having fewer young firms accounts for about one-third of the EU–US differential in R&D intensity, while 55% of the differential is due to the fact that young leading innovators in the EU are less R&D intensive than their US counterparts. Further analysis shows that this is almost entirely due to a different sectoral composition. We thus confirm that the EU–US private R&D gap is indeed mostly a structural issue.     

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.     

Innovation,exports, productivity and investment climate; a study based on Indian manufacturing firm-level data

In this paper, we use univariate instrumental estimations to study the interactions between firm-level innovation, exports and productivity in the Indian manufacturing sector. To differentiate incentives to innovate from the ability to innovate, we distinguish the inputs of innovation (R&D and training) from the outputs. Our findings highlight a virtuous circle between the three components of innovation, as well as between firms’ R&D, innovation and exports. The productivity of Indian manufacturing firms is benefiting from this dynamics, as exports and innovation improve firms’ TFP. With respect to the investment climate, our results suggest that differences in the environment of Indian companies contribute to their performance gaps. These results are all the more important in the context of the Make in India campaign and the weaknesses of India’s business environment.     

Does R&D spending boost tangible investment? An analysis on European firms

This article investigates the relationship between firm’s R&D intensity, expressed as R&D expenditure over sales, and investment intensity in tangible assets. It is commonly acknowledged that R&D requires additional physical investment to be implemented. R&D increases a firm’s productivity and return to tangible investments, thus, providing to the firm incentives to bear high tangible capital costs and to invest more. This represents a crucial issue for a firm’s growth, particularly considering the strong interaction between physical capital accumulation and technological progress. The analysis is based on a large sample of manufacturing firms across seven European countries in the period 2007–2009. Since the sub-sample of firms performing R&D might not be random, there may potentially be an endogeneity issue. The analysis also considers that firms may decide to spend on R&D and investment in physical capital simultaneously. The questions of both endogeneity and simultaneity are dealt with by employing an instrumental variable two-step procedure. We find a positive and significant impact of R&D intensity on firms’ tangible investment intensity. The econometric results highlight the importance of financial factors, particularly with respect to firms’ internal resources. Exposure to international trade has a negative impact on investment, possibly depending on the time-span of the sample used.

Abbreviations: Technological Innovation and R&D; Investment Capital; Industry Studies; Firm Behavior; Empirical Analysis     

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.     

Public policy and the creation of active venture capital markets

We assess the effectiveness of different public policy instruments for the creation of active venture capital markets. Our methodology focusses on ‘innovation ratios’, defined to be the shares of high-tech, and of early stage, venture capital investments. We study a unique panel of data for 14 European countries between 1988 and 2001. We have several novel findings. First, we find no evidence of a shortage of supply of venture capital funds in Europe, a result which questions the effectiveness of the most widely used policy for fostering active venture capital markets. We also find other policies to be effective. In particular, the opening of stock markets targeted at entrepreneurial companies has a positive, large effect on the innovation ratios. Reductions in the corporate capital gains tax rate increase the share of both high-tech and early stage investment. A reduction in labor regulation also results in a higher share of high-tech investments. Finally, we find no evidence of an effect of increased public R&D spending on the innovation ratios.     

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.     

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.     

How do housing cycles influence listed firms’ R&D investment: evidence from the collateral channel

ABSTRACT

Firm innovation is essential to long-run economic growth. Financially constrained R&D firms may use firm-owned properties as collateral to finance their R&D projects. Therefore, the housing price cycle can affect firms’ R&D investment through influencing their real estate value. By examining listed R&D firms during the housing boom period 2002–2006 in the U.S., we find that a $1 increase in real estate value leads a firm to increase its R&D investment by $0.38. We also find that this collateral effect is more pronounced among financially constrained R&D firms than that among unconstrained ones. Additionally, we examine the housing bust period 2008–2012, and find that real estate depreciation retarded R&D investment, especially among constrained R&D firms.     

R&;D and productivity: testing sectoral peculiarities using micro data

The aim of this study is to investigate the relationship between a firm’s R&D activities and its productivity using a unique micro data panel dataset and looking at sectoral peculiarities which may emerge; more specifically, we used an unbalanced longitudinal database consisting of 532 top European R&D investors over the 6-year period 2000–2005. Our main findings can be summarised along the following lines: knowledge stock has a significant positive impact on a firm’s productivity, with an overall elasticity of about 0.104; this general result is largely consistent with previous literature in terms of the sign, the significance and the estimated magnitude of the relevant coefficient. More interestingly, the coefficient increases monotonically when we move from the low-tech to the medium-high and high-tech sectors, ranging from a minimum of 0.03/0.05 to a maximum of 0.14/0.17. This outcome suggests that firms in high-tech sectors are still far ahead in terms of the impact on productivity of their R&D investments, at least as regards top European R&D investors.     

Productivity and R&D sources: evidence for Catalan firms

This paper draws on a sample of innovative Catalan firms to identify how two main sources of innovation – internal R&D and external R&D acquisition – affect productivity in the manufacturing and service industries. The sample comprises 1612 innovative firms from the fourth European Community Innovation Survey (CIS-4) during the period 2002–2004. We compare empirical results when applying the usual OLS and quantile regression techniques controlling with a non-parametric sample selection. Our results indicate the different patterns that are attributable to the two sources of innovation as we move up from lower to higher conditional quantiles. First, the marginal effect of internal R&D on productivity decreased as we moved up to higher productivity levels. Second, the marginal effect of external R&D acquisition increased as we moved up to higher productivity levels. Finally, empirical results show significant complementarities between internal and external R&D, which are higher for knowledge-intensive service sectors.     

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.     

Research,Innovation And Productivi[Ty: An Econometric Analysis At The Firm Level

This paper studies the links between productivity, innovation and research at the firm level. We introduce three new features: (i) A structural model that explains productivity by innovation output, and innovation output by research investment: (ii) New data on French manufacturing firms, including the number of European patents and the percentage share of innovative sales, as well as firm-level demand pull and technology push indicators; (iii) Econometric methods which correct for selectivity and simultaneity biases and take into account the statistical features of the available data: only a small proportion of firms engage in research activities and/or apply for patents; productivity, innovation and research are endogenously determined; research investment and capital are truncated variables, patents are count data and innovative sales are interval data.

We find that using the more widespread methods, and the more usual data and model specification, may lead to sensibly different estimates. We find in particular that simultaneity tends to interact with selectivity, and that both sources of biases must be taken into account together. However our main results are consistent with many of the stylized facts of the empirical literature. The probability of engaging in research (R&D) for a firm increases with its size (number of employees), its market share and diversification, and with the demand pull and technology push indicators. The research effort (R&D capital intensity) of a firm engaged in research increases with the same variables, except for size (its research capital being strictly proportional to size). The firm innovation output, as measured by patent numbers or innovative sales, rises with its research effort and with the demand pull and technology indicators, either directly or indirectly through their effects on research. Finally, firm productivity correlates positively with a higher innovation output, even when controlling for the skill composition of labor as well as for physical capital intensity.     

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.     

New evidence on the sources of EU countries’ productivity growth—industry growth differences from R&D and competition

Recent studies on productivity growth show how competition affects innovation and TFP growth in OECD countries, but do not explicitly account for sectoral parameter heterogeneity. This paper examines whether competition and innovation have a direct effect on labor productivity growth in EU goods-producing industries separated by three different industry types. The results show that the effect of R&D on labor productivity growth is not equal across industries, but rather depends on the innovation activities of sectors. The same is true for competition and labor productivity growth. The empirical evidence indicates that in unleveled industries (i.e. industries characterized by technologically unequal firms) like Specialized Goods Suppliers and Science-Based Innovators strong labor productivity growth originates with decreased competition and increased R&D, thereby supporting Schumpeterian arguments. The findings suggest Schumpeterian effects in Supplier-Dominated Goods-Producing Industries, but reveal decreasing labor productivity growth in these sectors when competition is strongly restricted.     

Dynamic R&D choice and the impact of the firm's financial strength

ABSTRACT

This article investigates how a firm's financial strength affects its dynamic decision to invest in R&D. We estimate a dynamic model of R&D choice using data for German firms in high-tech manufacturing industries. The model incorporates a measure of the firm's financial strength, derived from its credit rating, which is shown to lead to substantial differences in estimates of the costs and expected long-run benefits from R&D investment. Financially strong firms have a higher probability of generating innovations from their R&D investment, and the innovations have a larger impact on productivity and profits. Averaging across all firms, the long-run benefit of investing in R&D equals 6.6% of firm value. It ranges from 11.6% for firms in a strong financial position to 2.3% for firms in a weaker financial position.     

Assessing the returns to collaborative research: Firm-level evidence from Italy

We use firm-level data from Italian manufacturing firms to assess the relationship between various types of R&D and total factor productivity growth, including collaborative research with other firms and universities. A novel twist to our empirical analysis is that we estimate a sample selection model, which allows us to treat the decision to conduct R&D as endogenous. We find strong evidence of positive returns to collaborative research with other companies, whereas collaborative research with universities does not appear to enhance productivity. This result implies that firms may conduct R&D with universities when appropriability conditions are weak and the outcomes of such research projects do not yield direct strategic benefits.     

Young firms and innovation: A microeconometric analysis

This paper discusses the sources of product innovation in young innovative companies (YICs), here defined as firms engaged in product innovation and with less than 8 years of activity. In particular, we look at in-house and external R&D and at the acquisition of external technology in its embodied and disembodied components. These input–output relationships are tested on a sample of 2713 innovative Italian firms. A sample-selection approach is applied to study both the determinants of product innovation and the factors affecting the intensity of innovation.Results show that in-house R&D is linked to the propensity to introduce product innovation both in mature firms and YICs; however, innovation intensity in the YICs is mainly dependent on embodied technical change from external sources, while in-house R&D does not play a significant role.