Non-linear dynamics of innovation activities over the business cycles: Empirical evidence from OECD economies

This study examines the non-linear and asymmetries of innovation activities in thirty-six OECD countries for the period 1981Q1-2019Q4. The impulse response function and historical decompositions were estimated to check the cyclical property of innovation activities (R&D expenditures, residential patents, non-residential patents, and international collaboration in technology development) during the boom and recessions. The impulse response function provided three important results. First, the results indicated that the R&D expenditures moves pro-cyclically in response to the gross domestic product (GDP), exports, imports, and gross fixed capital formation in both the boom and recession periods. Second, the findings suggested that patents (residential and non-residential) move pro-cyclically in response to GDP, exports, imports, labor force, R&D expenditures, and gross fixed capital formation shocks in the boom and recession periods. Third, variables including, R&D expenditures, GDP, exports, labor force, imports, and gross fixed capital formation shocks significantly affected patents (residential and non-residential) during the boom and recession periods across the sampled OECD states. Fourth, the results also suggested that the international collaboration in technology development moves pro-cyclically in response to GDP, R&D expenditures, exports, imports, labor force, and gross fixed capital formation shocks in the boom and recession periods.     

Systemic aspects of R&D policy subsidies for R&D collaborations and their effects on private R&D

This paper analyses how context- and time-dependent factors determine the impact of R&D subsidies on firm behaviour with respect to private R&D expenditures. Based on German R&D survey data, we combine propensity score matching with a difference-in-difference estimator in order to measure the causal influence of public direct R&D project funding on firm behaviour. Our results indicate that (i) repeated participation in R&D projects on average leads to a higher increase in R&D expenditures than once-off funding; (ii) the aggregate effect of R&D funding on R&D expenditures of business firms is somewhat higher for business–business collaboration projects than for science–business collaboration projects; (iii) R&D expenditures of business firms that cooperate with science show a higher share of external R&D spending. Results of one particular cluster programme indicate that at least the short-term development of R&D does not so much depend on which programme direct R&D project funding is applied to.     

Effect of R&D product and process expenditures on new product introductions

This study examines the relationship between the introduction of new products and R&D process and product expenditures of 15 industries. The objective is to determine the degree to which product and process R&D expenditures, uniquely or jointly, contribute to the development of new products. The findings suggest that concurrent R&D expenditures on products and processes lead to higher R&D output, as measured by new product announcements, than R&D expenditures on products or processes alone. As a by-product, the analysis clearly shows that the relationship between the number of new products introduced and product and process R&D expenditures can be represented by a function resembling the Cobb-Douglas production function     

Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China

Research and development (R&D) efficiency assessment is an effective way for policymakers to develop strategies to increase the beneficial impacts of R&D. This study measures regional R&D efficiency from a multi-stage R&D perspective. It examines the spatial spillover effects and value chain spillover effects of R&D using panel data from 2009 to 2016 for 30 provinces in China. By estimating a spatial Durbin model, we find evidence of strong spatial dependence in R&D efficiency in China. With respect to R&D value chain effects, we find that R&D value chain spillovers took place intra-regionally but not inter-regionally. This finding indicates that in a knowledge flow context, there are two-way R&D value chain spillovers in which the forward spillover effects are stronger than the backward spillover effects. This finding adds important new knowledge to research on knowledge spillovers: distinguishing between value chain spillovers and spatial spillovers opens new avenues for future empirical inquiries.

     

Using patents and publications to assess R&D efficiency in the states of the USA

Even with the USA spending the largest amounts in R&D, its share in total patent grants worldwide has been declining. This decline is also evident in its share of world scientific publications. These developments have been termed by some as the “American Paradox”. Extant research on R&D efficiency and technological innovation capability has considered the USA as a homogeneous entity and has not focused at the sub-national level. This paper analyses the R&D efficiency of 50 US states and the District of Columbia. R&D efficiency is calculated as the ratio of patents granted and scientific publications to R&D expenditures. Only 14 states out of the 51 regions are found to exhibit positive changes in R&D efficiency between 2004 and 2008. Comparing this performance with that of the BRICS nations over the same period we find that Brazil, India, China and South Korea show significant improvements in R&D efficiency with India taking the lead. This research identifies the states in the US with the highest R&D efficiency and presents benchmarks which can be followed by policy interventions. The paper highlights the importance of conducting analyses of R&D efficiency using patents and publications at the sub-national level for informed policy making.     

Comments on “indicators of the impact of R&D on the economy”

These comments assert that the relationships between R&D expenditures and productivity growth are far more complex than they are ordinarily made out to be. R&D expenditures include several very different components, and only a rather small percentage of the total consists of expenditures upon basic science. One should not expect a very close association over time, or among countries, between spending upon R&D and the observed growth in economic productivity.     

Note on R&D expenditures and fixed capital formation

In this paper we deal with the fixed capital nature of the means of production and labour employed in research and development which generate scientific and technological knowledge. We argue that these R&D current expenditures typically have the nature of fixed investments. We then present an empirical analysis which shows that expenditures on industrial R&D are more strongly linked to the formation of fixed capital than to the formation of capital in general. Applying this conclusion to the economics of research and innovation would make it possible to analyse investments in the production of scientific and technological knowledge with a higher degree of clarity and precision.     

R&D and firm performance in the semiconductor industry

While the semiconductor industry is still dominated by large vertically integrated firms, fabless firms, which outsource their manufacturing, are gaining market share. Fabless firms are considered to have an advantage in product innovation, as they can focus their innovation efforts on chip design and can benefit from investments in process innovation made by their manufacturing partners. However, there is little empirical evidence of the performance of fabless firms compared to vertically integrated firms. This research empirically examines the relationship between R&D and the financial performance of fabless and vertically integrated firms from 2000 to 2010. Our results show that fabless firms maintain higher gross and net margins, earn a higher return on assets (ROA) and have greater intangible value (Tobin’s q) than vertically integrated firms when controlling for size, capital intensity and R&D ratio (R&D/sales). This supports the argument that fabless firms achieve greater performance by focusing on one part of the innovation process. The relationship of R&D ratio to net margin is negative for the whole sample, suggesting that the industry may be overinvesting in R&D. Notably, the negative relationship is greater for fabless firms, which spend a higher amount of their sales on R&D. The relationship of R&D ratio to ROA and Tobin’s q is negative, and there is no significant difference between fabless and integrated firms. We conclude that fabless firms outperform integrated firms overall, but are somewhat worse in terms of increasing profits and creating value from their R&D investments.     

How R&D partner diversity influences innovation performance: an empirical study in the nano-biopharmaceutical field

R&D partner diversity is generally acknowledged to help organizations to improve innovation performance. This study investigates the influence mechanism in depth by introducing technological diversification as mediator and the structural holes of new knowledge elements from R&D partners and the degree centrality of the focal organization’s knowledge elements as two moderators. The empirical analysis is based on patent data in the emerging nano-biopharmaceutical field and includes 554 innovative organizations. Results show that partners’ organizational diversity and geographical diversity have positive effects on focal organizations’ innovation performance through improving technological diversification. The structural holes of new knowledge elements from R&D partners and the degree centrality of the focal organization’s knowledge elements moderate the process in the way that when they are at high levels, the indirect positive effects of partner diversity on innovation performance through technological diversification are strengthened.     

Increasing the return on investment from federally-funded research and development

Abstract

Each year, the United States invests approximately $495 billion in research and development (R&D) – about a quarter of the total global investment. While the private sector accounts for about 67% of U.S. investment, the Federal government plays a critical role in funding R&D, particularly in areas that address societal needs in which the private sector does not yet have sufficient clear or strong incentive to make the required investments. The Federal government invests approximately $150 billion each year in R&D conducted at Federal laboratories, universities and other research organizations. As Federal R&D investments wind down or are completed, additional work is often still needed to translate the knowledge accrued from that R&D into products and services that will improve lives and provide economic growth. Technology transfer is the process by which existing knowledge, facilities or capabilities developed through R&D are utilised to fulfill public and private need. The transfer of technology from federally-funded R&D to the private sector is crucial to realising the taxpayer’s return on investment in the Federal R&D ecosystem. However, moving innovations from the lab to the market is more than inventing products for people to buy. Technology transfer is about creating jobs and growing the economy; ensuring a strong, secure, and resilient Nation; and improving Americans’ health and environment, fostering the conditions for America to maintain leadership in global innovation.     

R&;D market value under weak intellectual property rights protection: the case of India

The relationship between R&D and market value has attracted the interest of many scholars within different fields, but scant attention has been paid to the countries with weak protection of intellectual property rights (IPR). This is unfortunate, since this problem is potentially highly relevant for IPR policy in developing countries. In particular, several questions arise when the problem of R&D market value is analyzed in a country where IPR protection is weak. First, there are concerns regarding incentives (i.e., private returns) for firms to invest in R&D when IPR is only weakly protected. Second, significant differences could emerge in the market valuation of R&D investments of domestic and foreign firms, above all in those industries where spillovers are more likely. To examine these issues, this paper investigates the market valuation of R&D investments of a panel of 219 R&D-reporting domestic and foreign firms publicly traded in India with an empirical analysis. First, the market valuation of the R&D capital for the whole sample is positive and higher than those obtained in U.S. or European countries from similar analyses. Second, in the sub-samples of the domestic and foreign firms, the market value of R&D investments of foreign firms is not significantly different from zero, while the valuation coefficient of domestic firms is four times higher than that obtained on the whole sample. Third, in science-based industries the difference between domestic and foreign firms is smaller than in the other industries. The policy implications of these findings are discussed.     

Top management team’s innovation-related characteristics and the firm’s explorative R&D: an analysis based on patent data

This study investigates the relationship between characteristics of the firm’s top management team (TMT) and its research and development (R&D) activities. Specifically, this research analyzes how observable characteristics of the TMT, such as functional experiences or educational background, and average tenure affect the firm’s proportion of explorative R&D activities. From the perspective of the upper-echelon theory, we hypothesize that the TMT’s functional experiences with R&D or science or engineering educational backgrounds increase the firm’s tendency towards explorative R&D. Moreover, we propose that the average tenure of TMT members with innovation-related experiences would have a positive moderation effects on these relationships. The hypotheses are tested using a dataset containing biographical information of the TMT members, financial, and patent data of 89 firms in U.S. high-tech industries from 2006 to 2009. Firm’s explorative R&D activities are analyzed using data on patent citations, patent classes, and non-patent references. The empirical analysis shows that the top managers’ educational background in science or engineering as well as their previous functional experiences with R&D have a positive effect on the firm’s explorative innovation activities. We also find that the size of these effects increases with a longer tenure of these TMT members. Our findings provide implications related to the effects of organizational characteristics on the establishment of a R&D strategy and highlight the role of TMT members with innovative experiences in directing a firm’s R&D activities and outcomes.     

Research,development and growth in state-owned enterprises: empirical evidence from Ecuador

ABSTRACT

Investment in R&D is essential for the survival and growth of organizations. Recent literature has focused on the study of effects of R&D on the growth of private companies. However, there is no research studying the effects of R&D on the growth of Latin American public companies. This paper estimates, using an endogenous growth model, the effect of investments in R&D on sales growth in public enterprises of Ecuador. Data corresponding to a sample of 86 public companies have been taken from the Survey of Activities of Science and Technology (ACTI) of Ecuador for the period 2012 to 2014. These data are estimated by OLS. The results show that there is a statistically significant positive relation between investment in research and development and the growth of sales in public companies.     

The more you spend, the more you get? The effects of R&D and capital expenditures on the patenting activities of biotechnology firms

This paper provides evidence on the mechanisms influencing the patent output of a sample of small and large, entrepreneurial and established biotechnology firms from the input of indirect knowledge acquired from capital expenditures and direct knowledge from in-house R&D. Statistical models of counts are used to analyse the relationship between patent applications and R&D investment and capital expenditures. It focuses on biotechnology in the period 2002–2007 and is based on a unique data set drawn from various sources including the EU Industrial R&D Investment Scoreboard, the European Patent Office (EPO), the US Patent and Trademark Office, and the World Intellectual Property Organisation. The statistical models employed in the paper are Poisson distribution generalisations with the actual distribution of patent counts fitting the negative binomial distribution and gamma distribution very well. Findings support the idea that capital expenditures—taken as equivalent to technical change embodied in new machinery and capital equipment—may also play a crucial role in the development of new patentable items from scientific companies. For EPO patents, this role appears even more important than that played by R&D investment. The overall picture emerging from our analysis of the determinants of patenting in biotechnology is that the innovation process involves a well balanced combination of inputs from both R&D and new machinery and capital equipment.     

Effective R&D investment planning based on technology spillovers: the case of Korea

This study was performed to discuss an R&D investment planning method based on the technology spillover among R&D fields, from the point of view of technology convergence. The empirical analysis focused on a particular R&D group, such as university departments and specialized research institutes, since local technology combinations are more effective than distant combinations to create a new technology, according to previous research. In addition, worldwide technology competition is increasing, and with the recent convergence of various technologies and industries, strategies for R&D selection and resources allocation of particular R&D groups are becoming increasingly important. The empirical analysis uses a modified Decision Making Trial and Evaluation Laboratory method combined with information on patent citations to resolve the latent problems of the existing model, using as an empirical example the case of the Korea Institute of Geoscience and Mineral Resources (KIGAM), specialized in the geology and resources development R&D area. Through the empirical analysis, the KIGAM’s current R&D investment status is considered, and a reasonable R&D investment planning is suggested from the perspective of technology spillover. By using this framework, the magnitude of technology spillover from the R&D investment planning within a particular R&D group can be measured based on objective quantitative data, and the current R&D investment can be compared with recent global trends.     

The effects and time lags of R&D spillovers in Brazil

Government's innovation investments for science intensive sectors, such as the capital goods industry for developing countries play an important role in technology dissemination; however, few studies have addressed this issue. This study is conducted in the framework of a developing economy (Brazil), and aims to estimate the spillover effects throughout the industry resulting from public investment in innovation, as well as the spillovers of R&D and management investment performed by the capital goods industry through the rest of the industrial sector, and also the time lapse between the occurrence of innovative investment and output growth due to such expenditures. The results of the estimated econometric model exhibit significant and positive spillover effects by the government R&D expenditures for the capital goods industry with a three-year lapse, as well as a one-year lag for the occurrence of output effects on the other companies of the manufacturing sector, resulting from innovative investments by the capital goods industry.     

Optimal R&D investments of the firm

This paper examines irreversible decisions on innovative activities where it takes time to complete an R&D project. The total amount of R&D investments that the firm needs to undertake in order to obtain the breakthrough in the innovation process is uncertain. R&D investments are limited by the restriction that they must be self-financed. It is shown that R&D investments are more valuable when the level of uncertainty is large. Especially, it is very attractive to undertake R&D investments if a project faces many uncertainties during its early phases. Furthermore we study how R&D behavior is influenced by different levels of the discount rate and the financing limit. Moreover, the effects of R&D subsidies, spillover benefits and a payoff that decreases over time are analyzed. Received: 9 October 1997 / Accepted: 19 March 1998     

Modes of inbound knowledge flows: are cooperation and outsourcing really complementary?

This study examines the relationship between breadths of two different modes of external knowledge: R&D outsourcing and cooperation. Building upon transaction costs literature and literature on research partner breadth and R&D outsourcing, we hypothesise an U-inverted relationship between outsourcing breadth and innovation performance and a complementary relationship between R&D outsourcing and R&D cooperation. The model is tested on a large sample based on CIS survey for Spain. The empirical analysis confirms the U-inverted relationship between outsourcing breadth and innovation and also reveals an interesting result: the complementary effect of R&D cooperation varies with the level of R&D outsourcing breadth and it is not confirmed for low and medium levels of R&D outsourcing breadth. The results have important implications for theory on the selection of different modes of inbound open innovation and for managers and their cooperation and outsourcing strategies.     

Do R&D Spinoffs have Higher R&D Productivity? Evidence from Taiwanese Electronics Firms

The startup mode of spinoffs founded by R&D employees (R&D spinoffs) within the same industry is widespread in high-tech industries. The founders usually own specific human capital and key technological capability, enabling them to take the operational risk and to appropriate rewards of innovations under the industrial environment of rapid technological change. Whether high-tech R&D spinoffs, compared to their other spinoff counterparts, have better R&D productivity remains less well explored. According to the conceptual discussion of the advantages of intangible innovation assets embodied in company founders, this study argues that the founders' innovation cognition, knowledge externalities, absorptive capability and routine experience can help R&D spinoffs to have higher R&D productivity. We thus propose three hypotheses that are then empirically tested. Based on a sample of Taiwanese electronics firms, the empirical findings show that R&D spinoffs invest with a higher R&D intensity and on average have more patents issued. More importantly, the microeconometric estimates show that the patent and output elasticities of the R&D of R&D spinoffs are significantly higher than those of other firms, indicating that they actually have higher R&D productivity.     

Innovation and market regulation: evidence from the European electricity industry

This paper studies the effects of changes in the level of product market regulation on the industry-level innovation intensity in the EU electricity sector during years 1990–2009. In order to test the impact of deregulatory policies on the propensity to innovate in energy technologies, we match data on R&D budgets and European Patent Office patent applications from International Energy Agency and Eurostat Databases with the Organisation for Economic Co-operation and Development indexes of product market regulation. The analysis addresses innovations in the traditional electricity-related technologies, but keeping aside renewable energy technologies. Findings show an increase in patenting activities following market deregulation, measured along three factors: entry barriers, public ownership and vertical integration. In particular, econometric results suggest that policies aimed at reducing vertical integration – i.e. to unbundle networks from energy generation and supply – have a positive impact on innovation activity. Results are robust to the introduction of controls for country-level public R&D expenditures in the electricity field.