Do R&D activities matter for productivity? A regional spatial approach assessing the role of human and social capital

We estimate the long-run effects of Research and Development (R&D) activities on Total Factor Productivity (TFP) across the Spanish regions during 1980–2007. We use panel data cointegration methods and control for spatial externalities linked to human and social capital. Our empirical results, robust to different specifications and additional control variables, show a significant direct effect of public R&D capital on productivity. No significant results are observed for private R&D capital. In contrast, the effect of patents is highly significant but proves to be small. Furthermore, Spain has greatly benefited from importing technology from leading countries. Spatial spillovers are crucial in explaining long-run productivity for the case of Spain. Human and social capital exert direct positive impacts, however, their effects are geographically bounded and negative spatial spillovers offset direct outcomes. Overall TFP increases when neighbouring territories engage in R&D activities.     

Does R&D,human capital and FDI matter for TFP in OECD countries?

ABSTRACT

This study investigates the interplay between research and development (R&D), human capital (HC), foreign direct investment (FDI) and total factor productivity (TFP) in OECD countries. We divide the sample into two sub-groups; the European and the non-European states so as to account for underlying country heterogeneity. The analysis follows a panel data approach over the period 1995–2015, taking into account the modelling on non-stationarity, long-run relationships and short-run dynamics with a panel VAR. Both R&D and HC have a positive effect on TFP, whilst FDI has a positive and significant effect only in the case of non-European countries. Moreover, the contribution of R&D is higher than that of HC and FDI in all cases. Thus, based on these findings, policymakers should design and implement policies to increase resources invested in R&D, with a consistent ongoing spending review, to attract foreign direct investment, especially for the majority of the European and some of the non-European countries and to improve education system on a more productive innovation and research base.     

How R&;D investments influence TFP growth: Evidence from China’s large and medium-sized industrial enterprises

This paper investigates the potential channels through which R&D may influence TFP growth using industry-level panel data of China’s large and medium-sized industrial enterprises over the period of 2000–2007. Comparing with existing literature, we provide a closer look of the relationship between R&D and TFP growth by decomposing TFP growth into efficiency change and technical change components using Malmquist productivity index and distinguishing between upstream R&D spillovers and downstream R&D spillovers. We find TFP grow slightly during 2000–2007, and R&D investment indeed serves as an engine of productivity growth just as endogenous growth theories argued, which is largely because R&D accelerates technical progress even it also results in enlarging technical inefficiency. However, we find a robust negative effect of downstream R&D spillovers on TFP growth, the effects of upstream is positive but not statistically significant. In addition, we do not find the positive effects of human capital on TFP as endogenous growth theories indicated, but find human capital severs as “assimilation device” for R&D spillovers both in promoting TFP growth and increasing technical efficiency even the effects on technical progress is adverse.     

International R&D spillovers and institutions

The empirical analysis in “International R&D Spillovers” [Coe, D., Helpman, E., 1995. International R&D Spillovers. European Economic Review, 39, 859-887] is first revisited on an expanded data set that we have constructed for the purpose of this study. The new estimates confirm the key results reported in Coe and Helpman about the impact of domestic and foreign R&D capital stocks on TFP. In addition, we show that domestic and foreign R&D capital stocks have measurable impacts on TFP even after controlling for the impact of human capital. Furthermore, we extend the analysis to include institutional variables. Our results suggest that institutional differences are important determinants of TFP and that they impact the degree of R&D spillovers. Countries where the ease of doing business and the quality of tertiary education systems are relatively high tend to benefit more from their own R&D efforts, from international R&D spillovers, and from human capital formation. Strong patent protection is associated with higher levels of total factor productivity, higher returns to domestic R&D, and larger international R&D spillovers. Finally, countries whose legal systems are based on French and, to a lesser extent, Scandinavian law benefit less from their own and foreign R&D capital than countries whose legal origins are based on English or German law.     

International R&D Spillovers,Absorptive Capacity and Relative Backwardness: A Panel Smooth Transition Regression Model

We investigate how a country's absorptive capacity and relative backwardness affect the impact of international R&D spillovers on domestic Total Factor Productivity (TFP). To account for nonlinearities, we adopt a Panel Smooth Transition Regression approach, where a country's TFP elasticity to the foreign R&D stock is allowed to change smoothly across various identified extreme values, and the change is related to observable transition variables: human capital (capturing the country's absorptive capacity) and relative backwardness. The results suggest that absorptive capacity is positively associated with international R&D spillovers. In contrast with previous results, relative backwardness is instead found to have a negative and significant impact on international knowledge spillovers.     

Technological convergence, R&D, trade and productivity growth

This paper analyses productivity growth in a panel of 14 United Kingdom manufacturing industries since 1970. Innovation and technology transfer provide two potential sources of productivity growth for a country behind the technological frontier. We examine the roles played by research and development (R&D), international trade, and human capital in stimulating each source of productivity growth. Technology transfer is statistically significant and quantitatively important. While R&D raises rates of innovation, international trade enhances the speed of technology transfer. Human capital primarily affects output through private rates of return (captured in our index of labour quality) rather than measured TFP.     

Research and development,productive structure and economic effects: Assessing the role of public financing in Brazil

Investments in research and development (R&D) have played a key role in promoting productivity improvements and economic growth. This paper explores the economics effects of public R&D investment funding in Brazil, taking into account the changes in total factor productivity (TFP) in high-, medium- and low-technology sectors. Public funding plays an important role in the development of R&D activities in Brazil and its participation has increased since 2010. Our paper simulates a withdrawal of R&D investments and TFP linked to public financing from an R&D-based computable general equilibrium (CGE) model, which recognizes the stock-flow relation between R&D investment and knowledge capital. Without public R&D investment funding, the main findings indicate losses in TFP, adverse effects on the formation of physical capital, shrinkage of more intensive R&D industries, and more future dependence on the public sector for knowledge stock, especially for education.     

ChinHow R&D Investments Influence TFP Growth: Evidence from China’s Large and Medium- Sized Industrial Enterprises

This paper investigates the potential channels through which R&D may influence TFP growth using industry-level panel data of China’s large and medium-sized industrial enterprises over the period of 2000–2007. Comparing with existing literature, we provide a closer look of the relationship between R&D and TFP growth by decomposing TFP growth into efficiency change and technical change components using Malmquist productivity index and distinguishing between upstream R&D spillovers and downstream R&D spillovers. We find TFP grow slightly during 2000–2007, and R&D investment indeed serves as an engine of productivity growth just as endogenous growth theories argued, which is largely because R&D accelerates technical progress even it also results in enlarging technical inefficiency. However, we find a robust negative effect of downstream R&D spillovers on TFP growth, the effects of upstream is positive but not statistically significant. In addition, we do not find the positive effects of human capital on TFP as endogenous growth theories indicated, but find human capital severs as “assimilation device” for R&D spillovers both in promoting TFP growth and increasing technical efficiency even the effects on technical progress is adverse.     

The Causality between R&D and Productivity in Manufacturing: An international disaggregate panel data study

This study analyses the causality between productivity and domestic and foreign R&D on the basis of panel data with respect to 22 manufacturing sectors in 14 OECD countries during the period 1972-94. A unit root analysis shows that the relation between the log of total factor productivity (TFP) and the logs of domestic and foreign R&D is cointegrated. Causality tests are performed on corresponding dynamic VAR and error correction augmented VAR models, estimated both on the total panel and on 22 sub-panels, sector by sector. Their results show that, although there are feedbacks, both on average and in a clear majority of sectors the causation runs mainly from the R&D variables to TFP rather than the other way round. This causation is, moreover, shown to be, in the first place, long-run in nature. It is concluded that, when considered in conjunction, these results suggest an essentially supply-type rather than demand-pull kind of interpretation of the cointegrating relation between TFP and R&D.     

Assessing measurement errors in the CDM research–innovation–productivity relationships

ABSTRACT

The Crépon-Duguet-Mairesse 1998 article, known as CDM, initiated a structural econometric framework to analyze the relationships among research, innovation and productivity, which has been estimated most generally on the basis of cross-sectional innovation survey-type data. Some econometric implementations of the CDM approach have suggested that such data give useful but imprecise measures of the innovation output (share of innovative sales), and to a lesser degree of the innovation input (R&D). These ‘measurement errors’ may result in attenuation biases of the estimated R&D and innovation impact elasticities in the two basic CDM ‘roots’ relations of R&D to innovation and innovation to productivity, as well as in the extended production function à la Griliches linking directly R&D to productivity. Using a panel of three waves of the French Community Innovation Survey (CIS), we assess these biases and the magnitude of the underlying measurement errors, assuming mainly that they are ‘white noise’ errors. We do so by comparing two pairs of usual panel estimators (Total and Between) in both the cross-sectional and time dimensions of the data (Levels and Differences). We find large measurement errors on innovation output in the innovation–productivity equation, resulting in large attenuation biases in the related elasticity parameter. We also find smaller but sizeable measurement errors on R&D, with significant attenuation biases in the corresponding elasticity estimates, in the R&D–innovation equation and the extended production function. Simulations suggest that the measurement errors on innovation and R&D are unaffected by similar measurement errors on the capital variable.     

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     

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.     

Determinants of TFP growth: A close look at industries driving the EU–US TFP gap

This paper explores the determinants of the EU–US TFP growth gap using EU KLEMS. As found in previous analyses, TFP growth appears to be driven by catching-up phenomena associated with the gradual adoption of new technologies. TFP growth is also significantly driven by developments at the “technological frontier”, especially since the mid-1990s. Industries with higher R&D expenditures and higher adoption rates for ICT-intensive technologies appear to exhibit higher TFP growth rates, whilst human capital has mostly a significant effect across countries. Regarding determinants in industries relevant for the different TFP performance of the EU versus the US, ICT-producing industries appear to benefit from R&D in terms of stronger spillovers from TFP gains at the frontier, network utilities are strongly affected by product market regulations, whilst the retail and wholesale trade industry is significantly influenced by consumption dynamics which permit a better exploitation of scale economies.     

Internal R&D effort,external imported technology and economic value added: empirical study of Taiwan's electronic industry

Technology innovation is a significant resource in the contemporary knowledge-based economy. The main sources of technology innovation are internal R&D effort and external imported technology. Two primary traditional production factors are physical capital and labour. The theoretical basis for this study is an evolutionary Cobb–Douglas production function explaining the effects of four resources (internal R&D effort, imported technology, physical capital and labour) on a firm's sales and economic value added (EVA). Time-series cross-section panel data from 219 Taiwan electronic manufacturers between 1990 and 2003 were employed for fixed effect model. Major empirical findings were observed in this study: first, Internal R&D effort can positively affect a firm's sales and EVA. Conversely, imported technology is found to have had no significant effect on sales and EVA. Second, although both physical capital and labour affect a firm's sales more than the effects of internal R&D and external imported technology, internal R&D effort contributes to a firm's EVA beyond the effects of imported technology, physical capital and labour. Third, External imported technology has neither a complementary nor a substitutive relationship with internal R&D effort.     

E-commerce,R&D,and productivity: Firm-level evidence from Taiwan

This study investigates the impact of e-commerce and R&D on productivity, using a unique panel dataset obtained from Taiwanese manufacturing firms for the period from 1999 to 2002. We specifically consider the network externalities of e-commerce and employ the system generalized method of moment (GMM) technique to deal with the endogenous problem of e-commerce adoption. The empirical results show that both e-commerce and R&D capital have a positive influence on productivity, while R&D exhibits a larger productivity-enhancing effect. We also find a complementary relationship between e-commerce and R&D on enhancing productivity. Crucially, the inter-industry network externality of e-commerce significantly contributes to productivity.     

Government size,institutions, and export performance among OECD economies

With a panel of 18 OECD countries, 1980–2005, we investigate the determinants of export performance, in particular the effects of the size of government and institutional features. In a model of endogenous extent of domestically-produced goods, government size has a non-linear effect on export performance; the export-maximising size of government (tax receipts) is around 40–45% of GDP; the best size of productive government spending is around 16% of GDP. Product market and labour market-related rigidities affect negatively the export performance both on their own and via a negative effect on the effectiveness of R&D and slow down the speed of adjustment. Among traditional variables, relative unit labour cost, R&D shares in GDP, TFP growth and human capital show up significantly and with the expected signs.     

Do business and public sector research and development expenditures contribute to economic growth in Central and Eastern European Countries? A dynamic panel estimation

This paper empirically estimates the role of private and public research and development in explaining growth of Central and Eastern European Countries (CEE) during 1998–2008. We employ a dynamic panel model using the Arellano–Bond's Generalized Methods of Moments (GMM). Our findings suggest that a 1% increase in business R&D intensity boosts economic growth by 0.050 (0.213) % in these countries in the short (long) run. Public R&D is found to be statistically insignificant. When introducing human capital in the regression, the contribution of business R&D to economic growth decreases, although it remains significant. We argue that part of its effect may be accounted for by human capital. While various robustness checks are performed (such as adding different control variables, sub-periods and dummies for the entrance years to the EU), most of the results imply significant business R&D coefficient. Some policy implications are addressed based on our results.     

Quantitative growth effects of subsidies in a search theoretic R&D model

Should government subsidize R&D and does it matter how these subsidies are allocated? We examine these questions in a dynamic model where R&D is described as sequential sampling from a distribution of new ideas. Successful discoveries affect future available resources and incentives for further R&D. Consequently, there may be under-investment in R&D. We study the effect of government interventions aimed at fostering growth through R&D. Calibrating the model with aggregate data from the Israeli business sector allows us to quantitatively compare two forms of support resembling those actually used to encourage R&D in the Israeli business sector: (i) an unrestricted subsidy that may be used at the recipients' discretion to finance R&D or other investments, (ii) a subsidy earmarked by the government for R&D activities only. While there is no theoretical way to determine which of the two subsidies will have a greater impact on search for new ideas and growth, we find that in the calibrated economy both subsidies have a significant but similar impact on the economy's output and TFP growth rates. Accordingly, in the case of the Israeli business sector, the incentives to conduct R&D were sufficiently strong, and no R&D-specific encouragement was needed. However, a sensitivity analysis reveals that for economies characterized by other parameter values this result may not be true. Correspondence to: B. Bental     

How effective are level-based R&D tax credits? Evidence from the Netherlands

This article examines the impact of the R&D fiscal incentive programme on R&D by Dutch firms. Taking a factor demand approach, we measure the elasticity of firm R&D capital accumulation to its user cost. Econometric models are estimated using a rich unbalanced panel of firm data covering the period 1996 to 2004 with firm specific R&D user costs varying with tax incentives. Using the estimated user cost elasticity, we perform a cost–benefit analysis of the R&D incentive programme. We find some evidence of additionality suggesting that the level based programme of R&D incentives in the Netherlands is effective in stimulating firms’ investment in R&D. However, the hypothesis of crowding out can be rejected only for small firms. The analysis also indicates that the level based nature of the fiscal incentive scheme leads to a substantial social deadweight loss.     

Has New Zealand benefited from its investments in research & development?

We use panel data for nine industries to evaluate research and development (R&D) investments in New Zealand over the past forty years. We estimate the impact of R&D stocks in a particular industry on output per person in that industry and on output per person in the rest of the economy. We examine both public and private R&D investments. Privately provided R&D has a statistically significant positive impact on own-industry output per person, suggesting it increases productivity. However, publicly provided R&D has no impact on own-industry output per person. There is also evidence that private R&D in certain industries positively affects output per person in the rest of the economy, i.e. it generates positive spillovers. There is no evidence of positive spillovers from publicly provided R&D.