Does government R&D stimulate or crowd out firm R&D spending? Evidence from Chinese manufacturing industries

We examine whether receiving a government R&D grant stimulates or crowds out a firm’s own R&D spending in Chinese manufacturing industries. Using a database that spans the population of large and medium size privately owned Chinese manufacturing firms for the period from 2007 to 2011, a matching estimator and a matching and difference in‐differences estimator, we find a large firm R&D promoting effect of government R&D: receiving a government R&D grant led to a 4 to 9‐million‐yuan increase in a firm’s own R&D expenditures. This is a significant effect since the average R&D expenditures ranged from 5 to 9 million yuan in the year before receiving the grant. To understand the mechanisms behind this effect, we compare the before‐ and after‐treatment performance and behaviour of the treated and the control firms. We find that the government R&D receiving firms became more profitable following their receipt of the grant. We also find that receiving a government R&D grant increases the likelihood of a firm continuing its R&D performance after receiving the initial grant.     

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.     

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.     

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.     

Heterogeneous productivity shocks,elasticity of substitution and aggregate fluctuations

We use a Dixit-Stiglitz setting to show that aggregate productivity fluctuations can be generated through changes in the dispersion of firms’ productivity. When the elasticity of substitution among goods is larger than one, an increase in the dispersion raises aggregate productivity because firms at the top of the distribution produce most of output. When the elasticity is smaller than one, an increase in the dispersion reduces aggregate productivity because firms at the bottom of the distribution use most of inputs. We use individual firm level data from Spanish manufacturing firms to test the relationship between the dispersion of firms’ productivity and aggregate productivity. The estimated coefficients are consistent with the predictions of the model: we find that an increase in the coefficient of variation of firms productivity of 1% increases aggregate productivity by 0.16% in sectors with an elasticity of substitution larger than one while the same increase in the standard deviation reduces aggregate productivity by 0.36% in sectors with an elasticity of substitution smaller than one.     

Productivity and R&D: an econometric evidence from Spanish firm-level data

This article analyses the relationship between productivity growth and R&D investments of Spanish manufacturing firms during the 1990s. The theoretical model is a version of the Cobb–Douglas production function in its growth rate form. The purpose is to estimate the rate of return to R&D expenditures. The econometric specification is a distributed lag model. The estimation applies the generalized method of moments method. The main empirical finding is that a positive and significant role is played by R&D expenditures on productivity growth. The rate of return to R&D expenditures is 26.598%.     

The transatlantic productivity gap: Is R&D the main culprit?

The literature has pointed to different causes to explain the productivity gap between the EU and the US in the last decades. This paper tests the hypothesis that the lower European productivity performance in comparison with the US can be explained not only by a lower level of corporate R&D investment but also by a lower capacity to translate R&D investment into productivity gains. The proposed microeconometric estimates are based on a unique longitudinal database covering the period 1990–2008 and comprising 1,809 US and EU companies for a total of 16,079 observations. Consistent with previous literature, we find robust evidence of a significant impact of R&D on productivity; however, using different estimation techniques, the R&D coefficients for the US firms always turn out to be significantly higher. To see to what extent these transatlantic differences in the R&D/productivity relationship may be related to the different sectoral structures in the US and the EU, we differentiated the analysis by sectors. The result is that bothin manufacturing, services and high‐tech manufacturing sectors US firms are more able to translate their R&D investments into productivity increases.     

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.     

Composition of R&D expenditures and firm performance

ABSTRACT

The explosion of research and development (R&D) expenditures in China brings a puzzling fact that the proportion of research in R&D is extremely small, and thus the proportion of development is large. This article distinguishes research from development in R&D and investigates the heterogeneous effects of the two components on the performance of Chinese listed firms. Using a generalized propensity score matching approach with continuous treatments, we present non-linear relationships between R&D composition and firm performance. While development-oriented firms benefit more from an increase in profit than a growth in productivity, orientation toward research contributes more to productivity gains than to profitability. Research and development activities are found to be complementary in promoting firm performance. The results suggest the existence of optimal proportions of the components of R&D for maximizing firm performance.     

Firm growth and R&D: Evidence from the Portuguese manufacturing industry

This work studies the effects of R&D activities and investment, both physical and R&D, on the growth of firms by considering a dynamic firm growth model with serial correlation. The main hypotheses maintain that firms with a strong commitment to R&D have a higher growth rate, and investment has a positive effect on firm growth. We investigate such relations with reference to an unbalanced panel data set of Portuguese manufacturing firms over the period of 1990 to 2001. We find that a systematic tendency for smaller firms to grow more quickly is the main reason why firm growth is not entirely stochastic.     

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.     

The relationship among enterprise clustering,prices, and productivity in Ethiopia’s manufacturing sector

We use census panel data on Ethiopian manufacturing firms to analyze how enterprise clustering in local markets covaries with firm‐level output prices and physical productivity. We find a negative and statistically significant relationship between the density of firms that produce a given product in a given location and the local price of that product. We also find a positive and statistically significant relationship between the density of firms that produce a given product in a location and the physical productivity of same‐product firms in the location. These results are consistent with the notion that increased clustering of firms generates higher competitive pressure and positive externalities. Across firms that produce different products, we find no statistically significant relationship between enterprise clustering and firm‐level output prices and productivity. We also find no clustering effects across towns. Our results suggest that while clustering can impact firm performance, the advantages are narrow in scope.     

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     

Appropriability mechanisms,innovation, and productivity: evidence from the UK

ABSTRACT

We use an extended version of the well-established Crepon, Duguet, and Mairesse model [1998. “Research, Innovation and Productivity: An Econometric Analysis at the Firm Level.” Economics of Innovation and New Technology 7 (2): 115–158] to model the relationship between appropriability mechanisms, innovation, and firm-level productivity. We enrich this model in three ways: (1) We compare estimates obtained using a broader definition of innovation spending to those that use R&D spending. (2) We assume that a firm simultaneously innovates and chooses among different appropriability methods to protect the innovation. (3) We estimate the impact of innovation output on firm productivity conditional on the choice of appropriability mechanism. We find that firms that innovate and rate formal methods for the protection of intellectual property highly are more productive than other firms, but that the same does not hold in the case of informal methods of protection, except possibly for large firms as opposed to SMEs. We also find that this result is strongest for firms in the services, trade, and utility sectors, and negative in the manufacturing sector.     

Environmental regulation and the productivity of Japanese manufacturing industries

This paper attempts to provide empirical evidence on issues concerning: (a) the effect of the stringency of environmental regulations (as measured by pollution control expenditures) on innovative activity (as measured by R&D expenditures) and on the average age of capital stock and (b) the productivity enhancement effect of environmental regulations in Japanese manufacturing industries. The empirical findings in the paper show that the pollution control expenditures have a positive relationship with the R&D expenditures and have a negative relationship with the average age of capital stock. It is also shown that increases in R&D investment stimulated by the regulatory stringency have a significant positive effect on the growth rate of total factor productivity.     

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.     

Does issuing equity help R&D activity? Evidence from unlisted Italian high-tech manufacturing firms

This paper evaluates the causal effect of issuing equities on the probability that a firm engages in R&D activity. Equity is a better source of external finance than debt for innovation. It does not require collateral, does not exacerbate moral hazard problems connected with the substitution of high-risk for low-risk projects, quite common when using debt, and, unlike debt, does not increase the probability of bankruptcy; equity also allows investors to reap the entire benefit of the returns of successful innovative projects. This paper focuses on high-tech firms for which asymmetric information problems are more pervasive. Implementing an instrumental variable estimation, we find that issuing equity increases the probability that the firm has R&D expenditures by 30–40%. We detect considerable heterogeneity in this effect: the impact of issuing equity is significant only for small, young and more highly leveraged high-tech firms. We also find interesting evidence that issuing equity increases R&D expenditures in relation to sales.     

FDI spillovers in new EU member states

Using an unbalanced panel of firm‐level data in Bulgaria, Poland and Romania, we examine the impact of foreign firms on domestic firms’ productivity. In particular, we try to answer the following research questions: (1) Are there any spillover effects of foreign direct investments (FDI), and if so, are they positive or negative? (2) Are spillover effects more likely to occur within or across sectors? (3) Are the existence, the direction and the magnitude of spillovers conditioned by sector and firm‐specific characteristics? Our findings show that FDI spillovers exist both within and across sectors. The former arise when foreign firms operate in labour‐intensive sectors, while the latter occur when foreign firms operate in high‐tech sectors. Moreover, we find that domestic firm size conditions the exploitation of FDI spillovers even after controlling for absorptive capacity. We also detect a great deal of heterogeneity across countries consistent with the technology gap hypothesis.     

Does Firm Size make a Difference? Analysing the Effectiveness of R&D Subsidies in East Germany

We analyse the impact of public subsidies on private sector research and development (R&D) activity for a sample of East German firms. Using propensity score matching, our empirical results indicate that subsidized firms indeed show a higher level of R&D intensity (R&D expenditures relative to total turnover) and a higher probability for patent application compared with non‐subsidized firms. We find that, on average, the R&D intensity increases from 1.5% to 3.9%. The probability of patent application rises from 20% to 40%. These results closely match earlier empirical findings for East Germany. Given the fact that the East German innovation system is particularly driven by small‐ and medium‐sized enterprises (SMEs), we draw special attention to the effectiveness of R&D subsidies for this latter subgroup. Here, no specific empirical evidence is available so far. Our findings indicate that policy effectiveness also holds for private R&D activity of SMEs, with the highest increase in terms of R&D intensity being estimated for microbusinesses with up to ten employees.     

MEASURING THE PRICE OF RESEARCH AND DEVELOPMENT OUTPUT

We construct a price index for the scientific R&D services industry, a significant producer of R&D in the United States. Unlike most previous R&D price indexes, our index is not based on input costs but rather on measures of R&D sales. Consequently, unlike input‐cost price indexes, our output‐based index is able to account for changes in productivity and markups in the scientific R&D services industry. We compute that scientific R&D services prices increased, on average, by 7.14 percent at an annual rate from 1987 to 2006. Using our index, we find that real revenues grew at an annual average rate of 2.85 percent. We then propose using our index, in combination with an input‐cost price index, to deflate total R&D nominal expenditures. We find that real total U.S. R&D expenditures grew at an average annual rate of 1.42 percent from 1987 to 2006.