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     

Environmental regulations and innovation activity in UK manufacturing industries

We examine the relationship between environmental regulations and innovation, using data from UK manufacturing industry during 2000-2006. We estimate a dynamic model of innovation behaviour, and explicitly account for the likely endogeneity of our measure of the stringency of environmental regulations (pollution abatement costs). Our results indicate that while on the one hand environmental R&D and investment in environmental capital are stimulated by greater pollution abatement pressures, on the other hand there is not a positive impact of environmental regulation on total R&D or total capital accumulation. We find some evidence that this is because more stringent environmental regulations directly lower the optimal expenditure on non-environmental innovations. In addition, we find that environmental R&D may crowd out non-environmental R&D, although there is no evidence that environmental capital crowds out non-environmental capital.     

The Causality Between R&D And Investment

The aim of this paper is to investigate the relationship between R&D expenditure and investment in machinery and equipment in order to test for causality. New growth theory emphasises the role of R&D in creating blueprints needed to produce new capital goods implicitly assuming causality running from R&D to investment. Other recent studies using firm level data have investigated the relationship between innovative activity and investment in fixed capital. In this paper we use aggregate data from the US economy on R&D expenditure in the industrial sector and aggregate investment in machinery and equipment. Standard Granger causality tests, together with the Hsiao version, are then performed, showing that causality runs from R&D to investment. In addition we perform a cointegration analysis allowing a test of possible long-run feedbacks. This dynamic representation shows that any feedback between investment and R&D is only significant in the long run.     

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.     

中国研发投入的动态演化

R&D investment is enterprises’ strategy based on the market demand on innovative products and its production capacity for them. Enlarging market demand would spur the enterprises’ R&D input and the enhancement of technology state in production ability could have a complex effect on less developed countries’ R&D expenditure. With the measurement of China’s technology state compared to the United States and Japan, this paper explores with the state space model the dynamic effects of determinants on China’s R&D expenditure with the data during 1987–2006. The result illustrates that the growing national income, a proxy of domestic market demand, impedes the further R&D investment in China due to the enormous demand for necessities dominated by lower income class, and the income inequality is the major incentive for R&D investment via the higher pricing on the wealthy group, and that the improvement of technology state reduces the innovation risk and plays an important role in stimulating R&D expenditure.      

Firms’ human capital, R&D and innovation: a study on French firms

This article investigates the effects of human capital and technological capital on innovation. While the role of technological capital as measured by research and development (R&D) expenditure has been intensively investigated, few studies have been made on the effect of employee training on innovation. This article explores the relationship between innovation and firm employee training. Our methodological approach contributes to the literature in three ways. We propose various indicators of firm employee training. We build a count data panel with a long time-data series to deal with the issue of firms?? heterogeneity. We propose a dynamic analysis. Using dynamic count data models on French industrial firms over the period 1986?C1992, we find positive and significant effects of R&D intensity and training on patenting activity. Whatever the indicators of training our results show that the firm employee training has a positive impact on technological innovation.     

优化浙江省R&D经费结构的对策研究

R&D经费及其投入强度,是国际上广泛使用的、衡量一个国家或地区自主创新投入规模及水平的重要指标。本文基于对浙江省2010—2019年R&D经费数据的分析发现,虽然浙江省R&D经费规模与强度不断增长,但存在科学研究占R&D经费比重偏低的问题。通过分析产生这一现象的原因,提出进一步优化浙江省R&D经费结构的对策建议。     

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.     

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.     

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.     

Corporate governance structure,managerial discretion,and the R&D investment in China

This article studies the influence of corporate governance factors on firm R&D investment in a transitional economy like China. By using the data from the listed companies in China, this article statistically tests the hypotheses on the relations between corporate R&D intensity and managerial discretion of CEOs, independent outside directors, degree of share concentration, share held by the state, and share held by a manager. According to the results, the managerial discretion of CEOs has a significant and negative correlation with the firm R&D investment. The number of the independent outside directors in the board has a positive influence on the R&D investment. And as the shares held by a manager increase, the firm R&D intensity will decrease at first, and then increase along an inverted parabolic curve. All these findings show that the improvement of corporate governance and stock incentive plan, and the cultivation of active and long-term stock investors, may finally lead to the upgrade of corporate innovation capabilities.     

Economic policy,the new economy and the social rate of return to R&D in UK manufacturing

This article focuses on the question of whether public policy changes and/or the new economy have influenced the social returns to R&D expenditure in UK manufacturing over the three decades up to the end of the millennium. The basic methodology is reasonably straightforward, to estimate a production function in which, in addition to labour and fixed capital, R&D appears separately in a form that directly enables estimates of the social return to investment in knowledge and how it has changed over time. The results suggest that neither changes in government R&D policy nor the new economy have raised social returns to R&D.     

Founders’ human capital and external knowledge sourcing: Exploring the absorptive capacity of start-up firms

ABSTRACT

This study highlights the importance of founders’ human capital on firms’ absorptive capacity for explaining the external knowledge sourcing (licensing-in and joint R&D) of start-up firms, using panel data from original questionnaire surveys conducted in Japan. The results of a probit model with an endogenous regressor show that firms managed by founders with a high level of specific human capital, measured as prior innovation experience and industry-specific work experience, tend to engage in external knowledge sourcing because of their superior absorptive capacity. The findings indicate that this type of human capital also promotes research and development (R&D) investment. Contrariwise, this study finds that firms managed by founders with a high level of general human capital, measured as educational attainment, tend to invest more in R&D, which enhances their absorptive capacity and thereby promotes external knowledge sourcing. Finally, the implications of these findings are discussed from the perspective of public policy.     

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.     

Government grants,private R&D funding and innovation efficiency in transition economy

Although the development of the high-tech industry is part of the national agenda of many countries, particularly transition economies, few studies have analysed innovation efficiency in countries with environments unfavourable to high-tech industry development. This study explores the relationships of government grants, private R&D funding and innovation efficiencies of the high-tech industry in China. We use a stochastic frontier analysis model to study the roles of government and market mechanisms in high-tech industry innovation from 1995 to 2008. Findings show that government grants do not crowd out private funding, but stimulate private R&D expenditure. Private R&D funding has positively influenced innovation in the Chinese high-tech industry, and efficiency potentials are widely under-exploited. Additionally, government grants are observed to negatively impact innovation by large firms in the Chinese high-tech industry. Furthermore, we reveal that human capital can promote the innovation performance of high-tech firms, excepting those of medium scale. The findings provide insightful perspectives on China's high-tech industry.     

Innovation And Inter-Firm Co-Operation: The Case Of The West Midlands

Drawing upon the innovative milieux and industrial districts literature, the paper provides substantial empirical evidence that firms have a greater chance of being innovative if they co-operate with other firms over innovation, albeit undertaking no investment in RLD. This is an important result especially for small firms. In particular, the paper focuses on inter-firm cwperation along the supply chain, using a swey of firms in the West Midlands to investi-gate co-operation over innovation between suppliers and buyers. A probit model is used to test the link between innovation performance and four innovation inputs: R&D expenditure, R&D personnel, networking with suppliers and networking with client firms.     

R&D investments and corporate cash holdings

This paper presents evidence about how research and development (R&D) expenditures affect corporate cash holdings in European country groups that differ in their innovation capacity. In theory, one can expect intangible investments such as R&D to result in higher cash stocks than fixed investments, particularly because intangible capital is less suitable as collateral for obtaining external funds. The relationship can be expected to be particularly strong in innovative countries. These countries carry out a relatively high proportion of cutting-edge R&D, which tends to be particularly risky and may be associated with substantial gestation lags before becoming productive. These features tend to increase firms' precautionary cash holdings. To investigate this issue in a European context, we examine different groups of countries that are clustered based on differences in their innovative capacity. Our estimation results confirm a positive relation between changes in R&D investment and changes in cash holdings, whereas changes in fixed investment do not appear to be related to changes in cash positions. The impact of changes in R&D on cash tends to be higher for country groups characterized by a high level of innovative capacity than for countries with moderate levels of innovative capacity. However, the differences across country groups are less pronounced than expected.     

Intra-industry spillovers and innovation: An econometric analysis at the firm level

This paper studies spillover effects of innovation at the firm level and the comparability of generalized method of moments (GMM) estimators with maximum likelihood estimators of the earlier studies. Two sources of spillovers are identified, i.e. intra-industry R&D expenditure and intra-industry innovation output. This paper estimates a negative R&D spillover effect and a positive output spillover effect. Because of the substitution effect of intra-industry R&D spillovers, the elasticity of patent with respect to firm's own R&D expenditure is greater than those estimated in the earlier studies. With GMM, individual effects are incorporated into the models either by developing proxies for them or attempting to eliminate them.     

Economic policy uncertainty,CEO characteristics and firm R&D expenditure: a Bayesian analysis

ABSTRACT

This paper applies a linear Bayesian regression model to study the effects of economic policy uncertainty (EPU) and Chief Executive Officer (CEO) characteristics on firm Research and Development (R&D) expenditure. We specifically analysed data from 1,163 Chinese companies listed as A-shares from 2008–2016. EPU is believed to curtail firm investments as it causes unexpected market conditions. Yet, our findings obtained with Bayesian analysis show a positive relationship between EPU and firm R&D expenditure. Specifically, we found that some CEO attributes (e.g., age, tenure and marketing/sales experience) led to a negative relationship between EPU and firm R&D expenditure, whereas other attributes (e.g., education, overseas study/work experience, product R&D experience, and process engineering experience) lead to a positive relationship. Our findings provide nuanced insights into how different CEO characteristics influence firms’ R&D expenditure in a context of uncertainty.     

The impact of corporate debt on long term investment and firm performance

Prior research indicates a linkage between debt, research and development (R&D) and physical investment, and that the relationship varies depending on the type of firm (science versus non–science). Leverage also plays a multidimensional role in corporate performance and growth. The relationship between financial leverage and R&D expenditure is analysed using a sample of large United States (US) manufacturing firms. Then, the impact of leverage on R&D expenditure is studied using corporate performance drivers as intermediate variables. The results indicate that there is a strong negative relationship between the degree of financial leverage and the level of R&D expenditure that firms undertake. The negative relationship is robust to changes in model specifications and sample periods. More importantly, the results show that it is higher leverage that leads to lower R&D expense rather than R&D causing variations in future leverage. In addition, the results indicate that higher leverage adversely influences future investment in R&D which may in turn lead to negative impact on long term operating performance and future growth opportunities.