R&;D: A Small Contribution to Productivity Growth

In this article I evaluate the contribution of R&D investments to productivity growth. The basis for the analysis are the free entry condition and the fact that most R&D innovations are embodied. Free entry yields a relationship between the resources devoted to R&D and the growth rate of technology. Since innovators are small, this relationship is not directly affected by the size of R&D externalities, or the presence of aggregate diminishing returns in R&D after controlling for the growth rate of output and the interest rate. The embodiment of R&D-driven innovations bounds the size of the production externalities. The resulting contribution of R&D to productivity growth in the US is smaller than 3–5 tenths of 1% point. This constitutes an upper bound for the case where innovators internalize the consequences of their R&D investments on the cost of conducting future innovations. From a normative perspective, this analysis implies that, if the innovation technology takes the form assumed in the literature, the actual US R&D intensity may be the socially optimal.     

Estimating the effect of technological factors from samples affected by collinearity: a data-weighted entropy approach

Measuring the effect of technological activities on productivity growth is an issue that attracted much attention in recent works on empirical econometric studies. Specifically, in the field of regional economics, several attempts have been made in order to quantify the contribution of R&D to labor productivity growth at a regional scale, considering both the internal R&D and the effects obtained by geographical spillovers. The results obtained, however, are characterized by a huge variability and in many cases there is no empirical evidence of positive contributions of R&D activities to productivity growth. Our argument is that this can be a consequence of dealing with samples’ affect by a high level of collinearity. This paper proposes the use of the data-weighted prior (DWP) estimator suggested by Golan (J Econom 101:165–193, 2001). The main advantage of this estimator is that it discriminates between relevant and irrelevant regressors better than other estimators when dealing with highly collinear samples. We evaluate the performance of the DWP estimator by Monte Carlo simulations and illustrate how it works by means of a real-world example.     

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.     

Science and Corporate Strategy: A Bibliometric Update of Hounshell and Smith

Hounshell and Smith's Science and Corporate Strategy: DuPont R&D, 1902- 1980 is one of the most comprehensive business history books ever written. In addition, it highlights the important relationship between corporate strategy and R&D activities. The purpose of this current paper is to update the information on DuPont's R&D activities using secondary data and bibliometrics. Our findings are that DuPont underwent a series of dramatic shifts in their R&D efforts during the 1980s and into the 1990s. For example, there was a focus on life sciences, a concerted attempt to reduce R&D, and an endeavour to align R&D more with core businesses. Beyond the bibliometrics, we found that corporate performance and changes in the top management team may have precipitated these changes in R&D. The implications of such relationships are also discussed.     

Trade and the Transmission of Technology

This paper integrates earlier studies on the link of productivity and research and development (R&D) in different industries of a closed economy with the more recent emphasis on R&D-driven growth and international trade in open economies. In this framework, technology in the form of product designs is transmitted to other industries, both domestically as well as internationally, through trade in differentiated intermediate goods. I present empirical results based on a new industry-level data set that covers more than 65 percent of the worlds manufacturing output and most of the worlds R&D expenditures between 1970 and 1991. The analysis considers productivity effects from R&D in the domestic industry itself, from R&D in other domestic industries, as well as in the same and other foreign industries. I estimate strong productivity effects both from own R&D spending and R&D conducted elsewhere. The contribution of R&D in the industry itself is about 50 percent in this sample. Domestic R&D in other industries is the source of 30 percent of the productivity increases, and the remaining 20 percent are due to R&D expenditures in foreign industries.     

The influences of different R&D types on productivity growth in OECD countries

Productivity has become an important concern for the sustainable development and growth of a country. Countries, such as those in the Organization for Economic Cooperation Development (OECD), that actively innovate and conduct Research and Development (R&D) activities always have high productivity growth, with research to date examining the positive influences of R&D on productivity. R&D activities are classified into three types: basic research, applied research and experimental development. To test the different influences of the different R&D types, panel data from 23 OECD countries for the period 1996–2010 have been constructed and the Data Envelopment Analysis method is used to measure and decompose productivity growth. Moreover, based on Mansfield's [“Basic Research and Productivity Increase in Manufacturing.” The American Economic Review 70: 863–873] model, the influences of each R&D type on productivity growth are tested. The empirical tests show that R&D investments in experimental development and applied research have a positive effect on productivity growth in the immediate period; basic research influences productivity growth with a lengthier lag, even up to three periods.     

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.     

Productivity in China's high technology industry: Regional heterogeneity and R&D

This paper analyzes the impact of Research and Development (R&D) on the productivity of China's high technology industry. In order to capture important differences in the effect of R&D on output that arise from geographic and socioeconomic differences across three major regions in China, we use a novel semiparametric approach that allows us to model heterogeneities across provinces and time. Using a unique provincial level panel dataset spanning the period 2000–2007, we find that the impact of R&D on output varies substantially in terms of magnitude and significance across different regions. Results show that the eastern region benefits the most from R&D investments, however it benefits the least from technical progress, while the western region benefits the least from R&D investments, but enjoys the highest benefits from technical progress. The central region benefits from R&D investments more than the western region and benefits from technical progress more than the eastern region. Our results suggest that R&D investments would significantly increase output in both the eastern and central regions, however technical progress in the central region may further compound the effects of R&D on output within the region.     

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.     

Scitovsky's The Joyless Economy and the economics of happiness

Abstract

Scitovsky's The Joyless Economy is especially well-known in recent economic studies on happiness. However, his insightful contributions have not been taken up as they deserve, mainly because they were, and still are, too original. By reconstructing Scitovsky's analysis on the basis of all his relevant writings, this article integrates his most original concepts, such as novelty, consumption skill, endogenous preferences, pleasurable uncertainty, into conventional economics; it compares Scitovsky's analysis to the economic thought of his time and to current consumer theory and it reveals his contributions to happiness economics, such as an original interpretation of the Easterlin paradox.     

Foreign direct investment and technical progress in Spanish manufacturing

This article analyses the effects of Foreign Direct Investment (FDI) on technical progress in Spanish manufacturing. Particularly, we study how FDI's contributions vary depending on the economic structure of the industry. The results show that most FDI goes to capital-intensive sectors, especially when those sectors are also Research and Development (R&D)-intensive. Our estimates of the Solow residual show that the positive effect of contemporaneous and lagged FDI on manufacturing productivity is only attributable to capital and R&D intensive industries in what seems to be related to a dynamic capabilities explanation or to complementarities with R&D expenditures.     

Trade-related R&D Spillovers in Vietnamese Manufacturing

ABSTRACT

This study aims to examine how Vietnamese manufacturing could benefit from R&D investment locally and from OECD countries through trade during a period marked with major trade liberalisations. Using the industry-level data during 2000–2009, it finds that the foreign R&D has accounted for the most part of the R&D spillovers in the sector, with a larger proportion earning from the other foreign industries’ R&D. The domestic industries’ own R&D has improved the sector’s total factor productivity, but in a relatively smaller magnitude compared to the foreign sources. In examining the localised effects of R&D spillovers in Vietnamese manufacturing, the results reiterate the important roles of trade-embedded foreign R&D spillovers from Japan, the US, South Korea, and Germany in the sector’s total factor productivity growth. These findings altogether give support to foreign technology diffusion as a major conduit for growth prospects in Vietnamese manufactures.     

Strategic R&D Co-operatives

Although firms have many reasons for investing in R&D, still market forces are believed to be inadequate for directing an optimal amount of funds towards R&D investments. An important tool for diminishing this failure on markets for R&D is to sustain R&D co-operatives, a policy instrument recently (re)discovered by public authorities. For quite some time the formal economics literature did not pay substantial attention to this policy, but with the appearance of the seminal analysis of d’Aspremont & Jacquemin (1988) this silence was abruptly disturbed.The objective of the present paper is to develop a general version of the d’Aspremont & Jacquemin (1988) model which still allows for the calculation of explicit equilibria and therefore enables a comparison between co-operative and non-co-operative R&D. While pursuing this objective an analysis is presented which encompasses several recent contributions to the literature.Having established this general characterization of a market with possible strategic R&D co-operatives the arguments against and in favour of this industrial policy are evaluated. It appears that there are circumstances when these strategic alliances could indeed be socially beneficial. However there remains always the threat of firms increasing their market power by extending the co-operative agreement to the product market.     

Assessing the nonlinear nature of the effects of R&D intensity on growth of SMEs: a dynamic panel data approach

Based on a sample of Portuguese SMEs for the period 1999–2006 and using two step estimation, namely probit regressions and dynamic estimators, this study makes two important contributions to the literature: (i) identification of a quadratic relationship between R&D intensity and SME growth that takes the form of a U, and so R&D intensity is a stimulating factor of SME growth for high levels of R&D intensity; being a restrictive factor of SME growth for low levels of R&D intensity; and (ii) the growth of SMEs seems to be dependent on the nonlinear effects associated with distinct levels of R&D intensity. The nonlinear effects identified suggest that Portuguese SMEs with high levels of R&D intensity more easily find an efficiency scale and are more dependent on internal financing and short-term debt as sources for funding growth, compared to the case of Portuguese SMEs with lower levels of R&D intensity.     

Choosing Between Internal and Non-internal R&D Activities: Some Technological and Economic Factors

This paper evaluates some of the technological and economic factors that underlie the choice between in-house R&D, R&D alliances and outsourcing. We recount the reasons for the growth in non-internal activities, and explain why these are not as prevalent for R&D as other value-adding activities, and highlight that outsourcing is most often undertaken where multiple, substitutable sources are available. We then develop two frameworks. First, a static framework is developed, which evaluates the choice of mode based on a firm's distribution of competencies, and their strategic importance. Second, a dynamic framework is developed that demonstrates how the static framework differs depending on whether the firm is engaged in pre-paradigmatic, paradigmatic or post-paradigmatic sectors. We also consider the effect of new technologies being introduced to a firm's portfolio of competencies     

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.     

R&D and Productivity in German Manufacturing Firms

This papcr uses a new firm panel data set to explore the relationship between R&D and productivity in German manufacturing firms for the period from 1979 to 1989. The results confirm the view that K&D is an important determinant of productivity growth. In the cross-section, the elasticity of sales with respect to R&D capital is on the order of 14 per cent. Using fixed-effects estimators yields R&D elasticities of about 8 per cent. Assuming different depreciation rates for R&D capital has virtually no effect on these results. Differencing estimates improve considerably when growth rates are computed over longer time periods, suggesting that the divergence between time-series and cross-sectional estimates is driven by random measurement errors. The paper also considers differences between high technology and other firms. Cross-section and panel elasticity estimates of the R&D effect diverge considerably for the two groups, while the corresponding rate of return estimators display far less variation. There is some evidence that the R&D elasticity increased during the early 1980s, and that it fell sharply back to its 1979 value during the period from 1985 to 1989.     

Is R&D always growth-enhancing? Empirical evidence from the EU countries

This study provides empirical evidence regarding the effects of R&D on economic growth in a panel of 28 European Union (EU) countries over the period 1997–2014. In particular, we investigate whether the impact of business and government R&D stocks on economic growth depends on the country’s distance to the world technology frontier. The main findings are that in the EU (i) there is positive, statistically significant business R&D stock–economic growth nexus in countries that are relatively close to the frontier and (ii) no statistically significant relationship was found to exist between government R&D stock and economic growth. From the policy perspective, the results suggest that designing proper national policies that allow switching from investment-based to innovation-based strategies at appropriate moments may be far more important than a simple call for increase in R&D expenditures and setting common numerical targets for all EU-member states.     

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.      

International technology spillovers,human capital and productivity linkages: evidence from the industrial sector

The paper estimates an empirical model that is consistent with a variety of Research and Development (R&D)-driven models of growth where technology is transmitted via trade to other industries, both domestically and internationally, by being embodied in differentiated intermediate goods. The evidence is based on data from 21 manufacturing industries in six European Union countries for the period 1980–1997. The contribution of the paper lies in showing how by including human capital in the model and employing suitable econometric procedures the magnitude of R&D spillovers reported in the existing literature can be affected, while pointing to a major role of human capital in economic growth process.