A dynamic general equilibrium model for public R&D investment in Taiwan

In terms of economic development policies, public research and development (R&D) investment may be one of the most critical and useful tools in Taiwan, having frequently played a role in leading related overall investment in Taiwan. Although the impact channels of R&D investment are varied and complex, its benefits in terms of the development of human capital, industrial productivity, and basic research are clear. With the rapid growth of the private sector in the Taiwan economy, it is, however, debatable whether the government should continue to use the public financial budget to invest in R&D. By using a computable general equilibrium (CGE) model to simulate the impact of public R&D investment on the economy in Taiwan, the empirical evidence of the present paper is that public R&D investment gives rise to different short-term and medium-term impacts on real GDP that are mostly felt in the third or fourth years of their implementation among different industries. These impacts then gradually converge back to equilibrium in the long run. Public R&D investment boosts the technology of high-tech industries and increases exports, but it also crowds out the output of primary industries. Although the public R&D investment has a positive effect on the real wage, its effect on inflation should not be overlooked. Because of the pros and cons surrounding the impact of public R&D investment on industries and the economy, the study provided by the present paper can serve as valuable reference not only to decision-makers in government agencies but also to academic researchers.     

The Sun Also Rises: Productivity Convergence Between Japan and the USA

The growth process for a technological leader is different from that of a follower. While followers can grow through imitation and capital deepening, a leader must undertake original research. This suggests that as the gap between the leader and the follower narrows, the follower must undertake more genuinely innovative R&D and possibly face a slower overall growth rate. The results of a dynamic panel equilibrium-correction model of productivity growth suggest that the productivity gap with the USA had a strong effect on the growth of Japanese manufacturing, and that changes in R&D intensity also made a significant contribution. Moreover, the effect of the productivity gap was significantly higher in industries that had higher R&D intensities, higher levels of human capital, and were more open to exports. This paper is based upon Chapter 5 of my D.Phil. thesis at the University of Oxford. It was partly written while I was a Visiting Scholar at the Foundation for Advanced Information & Research, Tokyo, and was supported by a Sanwa Bank Foundation Research Fellowship and ESRC grants R000234954 and R000237500.     

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.     

Determinants of investment and innovation expenditure in Polish manufacturing industries

This article analyses determinants of sectoral R&D and innovation expenditure as well as investment in Polish manufacturing industries in 1994–2004. The estimated coefficients for user cost of capital are generally in line with the neoclassical model of investment, except for R&D intensity. The latter are primarily discouraged by systemic uncertainty. The rate of growth of sales is not a prominent determinant of investment and innovation expenditure. Market concentration coupled with uncertainty has a damaging effect on physical capital investment but it promotes R&D expenditure and leaves innovation intensity unaltered.     

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.     

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.     

INTELLIGENT MACHINE TECHNOLOGY AND PRODUCTIVITY GROWTH

This paper provides preliminary estimates of the productivity impact of intelligent machine technology (IMT) and the rate of return to IMT research and development (R&D) over the next two decades. The paper adapts economists’ traditional productivity growth model to enable the use of industrial experts’ forecasts of a few key parameters of the model to form the estimates of productivity growth and rate of return. Respondents – from a sample of firms operating in IMT development and applications in the automotive, aerospace, and capital construction industries – anticipate that IMT will generate substantial productivity growth over the next two decades, and the estimated social rates of return to IMT R&D are substantial.     

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.     

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.     

Becoming an acquirer and becoming acquired

This paper considers mergers and acquisitions (M&A) in Finland. We explain the likelihood that a firm acquires or is acquired by another firm. We try to find out whether the incidences of M&A are influenced by the firms' R&D activity, measured by the calculated R&D stock. We obtained a very robust result, which says that R&D stock increases the probability that a firm acquires in all industries. In the nonprocessing industries, R&D stock similarly increases the probability that a firm is acquired by another. In the processing industries, the firm's own R&D stock has, however, zero impact on the likelihood that another firm buys a firm concerned. We interpret these results indicating that M&A are used as instruments to transmit knowledge from one firm to another. In the nonprocessing industries, it is evident that knowledge capital cumulated in the target is the main motivation for the purchase. Then a buyer's own R&D—which also increases the probability of the trade—signals that a buyer is efficient in absorbing the purchased new technology. In the processing industries, the motive for acquisition is different. We discovered that in the processing industries, technology is rather transmitted from the buyer's firm than to the purchased firm. It looks like that, in these industries, the firms have decreased their unit costs by means of their R&D activity, and so through M&A, the appeared unit cost differences have been levelled.     

R&D depreciation,stocks, user costs and productivity growth for US R&D intensive industries

This paper estimates R&D depreciation rates for U.S. R&D intensive industries. R&D annually depreciates at; 18% for chemical products, 26% for nonelectrical machinery, 29% for electrical products, and 21% for transportation equipment. These depreciation rates lead to new estimates of the marginal (gross of depreciation) returns to R&D capital; 0.25 for chemical products, 0.31 for nonelectrical machinery, 0.34 for electrical products, and 0.27 for transportation equipment. R&D investment significantly contributed to productivity growth; virtually 100% in chemical products, 55% in nonelectrical machinery, 38 percent in electrical products, and 84% in transportation equipment.     

High-growth versus declining firms: the differential impact of human capital and R&D

We provide evidence that both human capital and R&D increase the likelihood that a firm will be a high-growth firm in the industry. However, different from human capital, being an R&D active firm also increases the probability of substantial decline or failure, underscoring the risky nature of innovation. Quantile regression results show that, different from R&D, human capital is growth-enhancing for all firms, hence also those located in the lower quantiles of the distribution of growth rates across firms.     

Does method selection matter? A new look at FDI and human capital in Chinese high-tech industries

Using the data that comes from China Statistical Yearbook on High Technology Industry, this paper examines the human capital accumulation, the R&D expenditure and the FDI externality effects on the productivity improvement of Chinese high-tech industries. Our empirical results suggest that the effects of FDI and human capital accumulation on technological progress depend in part on the adopted approaches. We believe that the dynamic model dominates the static model estimates. This paper finds little evidence in support of technological spillovers from FDI and indicate that the technological progresses are mainly rooting in human capital accumulation other than technology spillover induced by FDI in Chinese high-tech industry.     

Complementarity between heterogeneous human capital and R&;D: can job-training avoid low development traps?

This paper uses a non-overlapping generations model of endogenous growth to emphasize the effect of human capital’s heterogeneity on economic growth. In addition to education, we present two different typologies of training. The first, technology-general, is independent of R&D; the second, technology-specific, is connected to the success of innovative activities and it is only provided to workers engaged in research. By extending Redding (Econ J 106:452–470, 1996), we demonstrate that human capital composition is important in determining the probability of innovation and the economy’s growth rate. Moreover, the paper shows that technology-general training avoids low development traps when R&D is absent.     

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 expenditures and firm growth – is small beautiful?

ABSTRACT

This paper examines how efficiently different groups of firms use their R&D expenditures. To this end, it investigates how the empirical relationship between firms' R&D expenditures and their sales growth varies with different values of firm size, firm age, and the number of firms in the respective industry. Using panel data for Switzerland ranging from 1995 to 2012, the paper finds that smaller, more mature firms show a more positive relation between R&D expenditures and sales growth than both relatively larger or younger firms. The paper argues that, on the one hand, these firms can benefit from various small size advantages in the R&D process, such as more motivated researchers, caused by a stronger connection to the firm's fate. On the other hand, these firms can also benefit from a well-established R&D department that allows absorbing the latest technological developments. The paper further finds that industries consisting of many small firms show a more positive relation between R&D expenditures and sales growth than industries consisting of only a few large firms. The intuition behind this result is that industries consisting of many small firms imply more independent innovative trials, which then together result in a higher probability of discovering successful innovations. In sum, the paper finds that groups consisting of a large number of small, more mature firms spend their R&D in the most efficient way.     

Industry R&D intensity distributions: regularities and underlying determinants

This paper aims to examine the nature of the distributions of firm R&D intensities within industries and explore the factors that underlie the industry R&D intensity distributions. In particular, following the seminal study by Cohen and Klepper (1992) and using some new and rich data on firm R&D intensities for seven industries across six countries, this study examines the regularities in the industry R&D intensity distributions and demonstrates, based on a simple model of firm R&D, that the industry R&D intensity distributions are governed by the distributions of technological competence, a measure of firm R&D productivity, which corresponds to the notion of the “unobserved R&D-related capabilities” suggested by Cohen and Klepper (1992). This study found that firm R&D intensities within industries are lognormally distributed, displaying a strikingly regular pattern across industries, that the industry distributions of the levels of technological competence are also lognormal, and that, based on the formal model of firm R&D and the notion of the unobserved R&D-related capabilities, the distribution of firm technological competence within an industry underlies the industry's firm R&D intensity distribution.     

Dynamic analysis of outsourcing

This paper develops an R&D-based growth model and calibrates the model to aggregate data of the US economy to quantify a structural relationship between patent length, R&D and consumption. Under parameter values that match the empirical flow-profit depreciation rate of patents and other key features of the US economy, extending the patent length beyond 20 years leads to a negligible increase in R&D despite equilibrium R&D underinvestment. In contrast, shortening the patent length leads to a significant reduction in R&D and consumption. Finally, this paper also analytically derives and quantifies a dynamic distortionary effect of patent length on capital investment.     

The contribution of the publicly‐funded R&D capital to productivity growth and an application to the Greek food and beverages industry

This paper follows the dual‐cost function methodology and develops a theoretical specification that assesses the contribution of public R&D capital to the productivity growth. The empirical application focuses on the Greek food and beverages industry. For this purpose it employs a micro‐aggregated annual data set over the period 1976–2002. The regression analysis shows that publicly‐funded R&D capital is a productive input as 8.7% and 7.3% of the total factor productivity growth in the food industry and in the beverages industry respectively is attributed to the publicly‐funded R&D capital. The relationship between publicly‐funded R&D and privately‐purchased inputs is also examined.