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     

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.     

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.     

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.     

Firm size and compositions of R&D expenditures: evidence from a panel of R&D performing manufacturing firms

The effect of firm size on diverse compositions of R&D expenditures is analysed in detail using firm-level data on the Korean manufacturing sector. On the grounds that each type of R&D activity differs in terms of salability in disembodied form and growth potential due to innovation, a distinction between product vs. process, and new vs. incremental R&D is made. Empirical tests show that the firm size is significantly associated with both the new and incremental R&D. Moreover, firm size is found to be significantly associated with other types of R&D compositions such as the share of R&D devoted to incremental innovation and multidimensional combinations of product, process, new and incremental R&D. These findings support the idea that large firms possess innovative advantages over smaller firms and firm size is an important determinant for firms’ heterogeneous R&D activities. We also discuss the limitations and the implications of the findings.     

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.     

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.     

Business Cycles and Investment in Productivity-Enhancing Activities: Evidence from Spanish Firms

This paper tests the opportunity-cost theory on the long-run effects of business cycles using a panel of Spanish firms during the period 1991–2010. Under this theory, the share of productivity-enhancing activities (PEAs), such as R&D investment or on-the-job training, relative to production activities should increase during downturns because of the fall in their relative cost — in terms of forgone output. This would imply that business cycles may have a (positive) long-term impact on firms' productivity growth. In the spirit of Aghion et al. (2008), we allow the impact of the cycle on PEA to vary between firms with different access to external funding. We find that, in accordance with the opportunity-cost approach, the share of R&D investment and training expenditures on total investment outlays follow a countercyclical pattern, which in the case of R&D may be reversed by the presence of credit constraints. However, the share of investment in other non-R&D-related intangible investments is found to be acyclical, which could suggest some kind of substitution across different PEAs over the cycle.     

Assessing the Effects of International Trade on Private R&D Expenditures in the Food Processing Sector

This study empirically investigates the effects of imports and exports on private research and development (R&D) expenditures in the food processing sector. An analytical framework discussing the various effects of international trade on R&D activities is presented. This is followed by an empirical analysis that uses a dynamic empirical specification for current R&D expenditures and for a cumulative measure of R&D stock. The empirical investigation is applied to a panel dataset covering Organization for Economic Cooperation and Development's countries. The empirical results show that increases in import intensity levels induce reductions in private R&D expenditures whereas increases in export intensity levels promote larger private R&D expenditures. These outcomes imply that the R&D-enhancing effects of exports are countered by the R&D-reducing effects of imports.     

Relations between national research investment and publication output: Application to an American Paradox

The term “European Paradox” describes the perceived failure of the EU to capture full benefits of its leadership of science as measured by publications and some other indicators. This paper investigates what might be called the “American Paradox,” the decline in scientific publication share of the U.S. despite world-leading investments in research and development (R&D) — particularly as that decline has accelerated in recent years. A multiple linear regression analysis was made of which inputs to the scientific enterprise are most strongly correlated with the number of scientific papers produced. Research investment was found to be much more significant than labor input, government investment in R&D was much more significant than that by industry, and government non-defense investment was somewhat more significant than its defense investment. Since the EU actually leads the U.S. in this key component, this could account for gradual loss of U.S. paper share and EU assumption of leadership of scientific publication in the mid-1990s. More recently the loss of U.S. share has accelerated, and three approaches analyzed this phenomenon: (1) A companion paper shows that the SCI database has not significantly changed to be less favorable to the U.S.; thus the decline is real and is not an artifact of the measurement methods. (2) Budgets of individual U.S. research agencies were correlated with overall paper production and with papers in their disciplines. Funding for the U.S. government civilian, non-healthcare sector was flat in the last ten years, resulting in declining share of papers. Funding for its healthcare sector sharply increased, but there were few additional U.S. healthcare papers. While this inefficiency contributes to loss of U.S. share, it is merely a specific example of the general syndrome that increased American investments have not produced increased publication output. (3) In fact the decline in publication share appears to be due to rapidly increasing R&D investments by China, Taiwan, S. Korea, and Singapore. A model shows that in recent years it is a country’s share of world investment that is most predictive of its publication share. While the U.S. has increased its huge R&D investment, its investment share still declined because of even more rapidly increasing investments by these Asian countries. This has likely led to their sharply increased share of scientific publication, which must result in declines of shars of others — the U.S. and more recently, the EU.     

Fusion of technology management and financing management - Amazon's transformative endeavor by orchestrating techno-financing systems

Amazon became the world R&D leader in 2017 by rapidly increasing R&D investment. Its R&D investment in 2017 was double that of 2015, 5 times that of 2012, and 10 times that of 2011. This rapid increase continued in 2018, and Amazon accomplished a skyrocketing increase in its market capitalization, closing to being the world's biggest company.Such a rapid increase in R&D and subsequent market value has raised questions about how to conduct R&D and secure a large amount of funds needed for high-risk investments. Amazon has provided hypothetical answers to both of these questions.Amazon has been conducting innovative R&D to transform routine or periodic alterations into significant improvements during the R&D process and claiming huge expenses for such transformation activities as expenses for R&D.The company's ample free cash flow generated by sophisticated cash conversion cycle (CCC) management endorsed a large amount of investment for such a high-risk strategy.Increased R&D induced business advancement and lean cost structure construction leading to a further increase in cash flow has stimulated interactions between vendors, customers, and Amazon via the Amazon marketplace. Activated interaction-accelerated CCC advancement, a subsequent free cash flow increase, and user-driven innovation have thus simultaneously accelerated R&D transformation.All of these components - R&D transformation and technopreneurial strategy consisting of technology management, as well as marketplace development and CCC-driven cash flow generation consisting of financing management - function together as a consolidated sophisticated machine. Thus, Amazon has succeeded in fusing technology management and financing management by orchestrating all techno-financing systems.In light of increasing concerns regarding R&D expansion without the dilemma of a productivity decline that most digital economies are now confronting, this paper demonstrates the above hypothetical answers.Following the authors' preceding analysis of Amazon's unique technology management toward a new concept of R&D in the digital economy, an intensive empirical analysis focusing on the development trajectory of Amazon's techno-financing system over the last two decades was conducted.An insightful suggestion as to neo-open innovation that fuses technology management and financing management is thus provided.     

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.     

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.     

Direct and indirect knowledge spillovers and industrial productivity

This paper analyses the importance of externalities related to the spread of innovation across sectors. Such spillover effects arise from R&D activities and input–output (IO) linkages among sectors in the country. We borrow Spatial Econometrics techniques to make consistent estimates of the impact of these systematic direct and indirect spillovers on sector’s productivity and the possibility of other types of productivity spillovers in the error term. We find that direct spillovers emanating from IO horizontal linkages determine sector’s productivity, while the indirect effects prove to be negligible. Furthermore, the technological intensity of IO linkages and the productive structure of the underlying economy are key factors determining the effectiveness of economic policies focused on increasing total industrial productivity.     

The role of firm R&D effort and collaboration as mediating drivers of innovation policy effectiveness

This paper investigates the impact of firm R&D policies supporting R&D investment and collaboration on company innovation performance. Individual and cooperative R&D investments are considered as intermediate outcomes (input and behavioural additionality, respectively) contributing to the final outcome (probability of product innovation). We use a treatment random coefficient model to estimate the policy additionality on a panel data-set merging the third and the fourth wave of the Italian Community Innovation Survey. Results show a significant and positive policy impact on company propensity to product innovation only for the input additionality and for the interaction between the input and the cooperative additionality. This occurs when company cooperation scores overcome a given threshold, in accordance with the assumption that cooperation entails benefits but also coordination costs.     

Innovation Performance and International Knowledge Spillovers: Evidence from the Renewable Energy Sector in OECD Countries

This paper aims at evaluating the sources of differences among countries' innovative performances in the renewable energy (RE) sector. Namely, we focus on the national innovative capacity, the knowledge developed abroad and the related knowledge spillovers. We claim that a country is more likely to develop RE innovation: (i) the larger the knowledge stocks of other countries in the same sector; (ii) especially when those other countries share established linkages with the focal country. Relying on a knowledge production function, we model country-level innovative performances in the RE sector for 18 OECD countries in the period 1990–2006. Our findings confirm that, once controlling for climate-energy policies, international knowledge spillovers contribute significantly to RE innovation, and their effect is comparable with domestic R&D and human capital. In addition, international spillovers are more likely if countries share stronger linkages.     

Productivity of R&D institution: The case of Indonesia

This study analyzes the performance of Indonesian R&D institutions based on R&D productivity. By applying an institutional approach, the effects of collective determinants such as quality of researcher, R&D budgets, locations and ages of R&D institutions on productivity are considered. Our findings show that these performance variables had strong and significant effects on R&D productivity. A national innovation system should be developed in developing countries with different models from those used in developed countries. The non-economic dimension is essential in developing national innovation systems in developing countries such as Indonesia.     

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     

R&D vs. Other Factor Inputs in a High-Tech Industry

According to knowledge-based growth theories, catch-up with the global technology frontier calls for a shift from physical investment to innovation. This prevailing premise in Finland is tested with an unbalanced panel of firms in Finnish information and communications technology (ICT) manufacturing, over a period of rapid growth, 1990–2003. Stochastic frontier model estimation results are overwhelmed by scale elasticity associated productivity growth. Contrary to beliefs, R&D productivity was relatively low, regardless if measured by efficiency impacts of R&D intensity, technical change or R&D elasticity of output. Results are consistent with industry outcomes and reveal internal causes to the subsequent downfall of ICT manufacturing in Finland.     

Will China’s quest for indigenous innovation succeed? Some lessons from nanotechnology

Over the past decade, the Chinese state has made major efforts to transition China’s economy away from a focus on manufacturing, and towards a focus on generating indigenous innovation in R&D intensive fields such as nanotechnology. This goal has been pursued through a comprehensive industrial policy framework that aims to give preferential treatment to Chinese companies in domestic markets while also devoting significant resources towards basic and applied R&D, building science parks and research centers, funding focused venture capital funds, and recruiting prominent expatriate scientists and entrepreneurs from universities and businesses abroad. This paper, based on interviews with scientists, engineers, entrepreneurs, and venture capitalists in Shanghai, Suzhou, and Beijing, examines the strengths and weaknesses of China’s push for indigenous innovation. We use the case of nanotechnology to address the pressing question of why China continues to underperform with regards to generating innovative, high-tech companies and products, despite heavy public R&D investment and the presence of one of the world’s largest talent pools of potential scientists, engineers and entrepreneurs.