Are venture capitalist-backed IPOs more innovative? Evidence from an emerging market

This study examines whether venture capital (VC)-backed IPOs are more innovative than otherwise equivalent non-VC-backed IPOs. Using manually collected R&D records from annual reports and patent data from the Chinese State Intellectual Property Office (CSIPO) from 2007 to 2012, we find that VC-backed IPOs have higher R&D expenditures and more patents granted in the three years after IPOs. More specifically, they have more invention, application, and design patents in post-IPO. We use a two-stage instrumental variable, propensity score matching, difference-in-differences approach to mitigate selection biases and find our results to be consistent with our hypothesis. We conclude that VCs can positively influence IPO firms to increase R&D expenditures and innovative output levels in China. In addition, we document that the government ownership adversely affects innovation of VC-backed firms. Policy implications are discussed.     

Technology ladders and R&D in dynamic Cournot markets

Motivated by dramatic and unpredictable technological advances in energy production (for instance drilling and extraction of shale oil), we extend Cournot models of competition to incorporate research and development (R&D) that can lead to (stochastic) drops in production costs. Our model combines features of patent racing with dynamic market structure, capturing the interplay between the immediate competition in terms of production rates and the long-term competition in R&D. The resulting Markov Nash equilibrium is found from a sequence of one-step static games arising between R&D successes, and several numerical examples and extensive analysis of the emerging comparative statics are presented. Analyzing the relationship between current market dominance and the level of R&D investments, we find that market leaders tend to invest more, which in some sense makes oligopoly dynamically unstable. We show that anticipated market transitions have long-term impact; for example the potential of future monopoly can spur R&D investment now, even if the firm is presently uncompetitive and not actively producing. We also show that, surprisingly, random innovations have an ambiguous effect on R&D. This feature, which is driven by the Cournot framework, contrasts with the common situation whereby uncertainty lowers innovation and delays R&D investments. Finally, we demonstrate that increased competition may actually increase efforts to innovate through higher desire to achieve dominance. This would match the anecdotal evidence that the threat of market entrants forces incumbents to maintain high R&D.     

Environmental regulations in private and mixed duopolies: Taxes on emissions versus green R&D subsidies

In this article, we compare two kinds of environmental regulations—emissions taxes and green R&D subsidies—in private and mixed-duopoly markets in the presence of R&D spillovers. We show that a green R&D subsidy is better (worse) than an emissions tax when the green R&D is efficient (inefficient), irrespective of R&D spillovers, whereas the existence of a publicly owned firm encourages the government to adopt a subsidy policy. We also show that the optimal policy choice depends on R&D efficiency and spillovers. In particular, when green R&D is inefficient and the spillover rate is low (high), the government should choose an emissions tax and (not) privatize the state-owned firm. When green R&D is efficient, however, an R&D subsidy is better, but a privatization policy is not desirable for society, irrespective of spillovers.     

Finland and the mobile phone industry: A case study of the return on investment from government-funded research and development

The sudden and dramatic growth of the mobile phone manufacturing sector in Finland is an interesting case study for science and technology (S&T) policy analysts. Mostly on account of the rapidity of this growth against a relatively static situation for the other sub-sectors, the Finnish economic data over the period 1990–2001 can be used without ambiguity to quantify the return of an initial public sector research and development (R&D) expenditure on the growth of a sectoral economy. Although it is apparent from the data that this economic success story is to some extent now running out of steam, the returns to date for all the participants have been astonishing. Using the Patterson–Hartmann model, which has been developed to link company-level R&D expenditure with product revenue, it is shown that government has managed to achieve a multiplier effect of about 66 on its initial R&D expenditure through initially a leveraging of business R&D expenditure (at a level of 1:3) and then the translation of the latter into an increase in gross domestic product (GDP) (at a level of 1:22). These figures are extraordinarily high, even in comparison to the multipliers obtained by large private sector companies.The keys to the success were both the vision and foresight of the Finnish R&D community, who identified cell phones as a major growth opportunity, the sharing of risk by the various role players (government, universities and industry) as can happen in an efficient national system of innovation, and finally a sustained commitment to R&D by the industry leaders. The latter has now reached a level of 3.5% of GDP (2005), which makes Finland a global leader in R&D expenditure (as a percentage of GDP). The lessons for developing countries such as South Africa, which are moving towards higher levels of R&D expenditure but within a resource constrained context, are apparent.     

Can supplier innovations substitute for internal R&D? A multiple case study from an absorptive capacity perspective

Prior literature suggests that significant internal R&D resources are needed to leverage suppliers for innovation and that external knowledge sources can be used to complement the internal knowledge base. Based on the analysis of four inbound open innovation projects at Fortum, a multinational energy utility company, we argue that companies with low R&D intensity may adopt an alternative approach which aims at substituting – not merely complementing – internal R&D with external innovations. We adopt the absorptive capacity perspective while investigating the cases and focus on four distinct capabilities: acquisition, assimilation, transformation, and exploitation. We find that the substitution approach consists of short-term research on new technological areas in order to gain the ability to identify and evaluate alternative technologies, as well as joint business models and operations based on complementary capabilities between the parties. The cases also suggest that the innovation process requires significant collaboration and the buying company's supplier management capabilities may improve the success of inbound open innovation projects of this type.     

How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level

Although significant progress has been made in China's basic research in recent years, there remains a wide gap between research in China and that from developed countries. How to optimize the allocative efficiency of research resources is of great importance for increasing research output. In this paper, using the fixed effect stochastic frontier model based on the translog production function, we estimate output and substitution elasticities of research and development (R&D) inputs at universities in China's provincial level during 2009–2016. We find that the R&D technical efficiency of China's universities, after a rapid growth, has tended to become relatively stable. Improvements of internationalization degree and exogenous R&D capabilities are conducive to promoting R&D technical efficiency, whereas expenditures from government grants inhibit the promotion of R&D technical efficiency; the effects of R&D capital deepening and internet penetration are not evident. The output elasticity of R&D capital is much higher than that of R&D personnel, suggesting that R&D capital is the main driving force of research output. The substitution elasticity between R&D capital and personnel has experienced a change from substitution to complementary since 2014. To realize sustained growth of research output, we should increase R&D input with positive output elasticity or reduce R&D input with negative output elasticity, making the necessary trade-offs according to the substitution relationship between the two R&D inputs.     

The contribution of research and innovation to productivity

This paper examines the impact of investment in research and innovation on Australian market sector productivity. While previous studies have largely focused on a narrow class of private sector intangible assets as a source of productivity gains, this paper shows that there is a broad range of other business sector intangible assets that can significantly affect productivity. Moreover, the paper pays special attention to the role played by public funding for research and innovation. The empirical results suggest that there are significant spillovers to productivity from public sector R&D spending on research agencies and higher education. No evidence is found for productivity spillovers from indirect public funding for the business enterprise sector, civil sector or defence R&D. These findings have implications for government innovation policy as they provide insights into possible productivity gains from government funding reallocations.     

R&D and regional competitiveness: a study of global entrepreneurial firms

We quantify, using data from the World Bank’s Enterprise Surveys and the World Economic Forum’s Global Competitiveness Index, the empirical relationship between global competitiveness and R&D investment activity as well as the independent relationship between global competitiveness and R&D investments across geographic regions of economic development. We also explore alternative measures of the effectiveness of R&D investments. Our findings suggest that R&D investments are a possible policy target variable in high-income regions for policy makers to consider for increasing firms’ global competitiveness.

     

Innovation and Invention in Canada

This paper compares innovation survey data with invention data as recorded by patents (and, therefore, the basis of the Yale Technology Concordance), presenting input–output tables for both data sets. We describe and compare the intersec-toral flows of technology from the industry of manufacture (IOM) to the sector of use (SOU); compare patent-to-innovation ratios by industry; and present correlations between innovation, invention and R&D by industy. One significant conclusion is that, while innovation and invention data are highly correlated in the IOM, they diverge on the SOU, especially in certain key industries that we identify.     

Intangible investment in people and productivity

Organizational activity, information and communication technology work, and research and development (R&D) can be classified as work that creates intangible capital. We measure the returns to these three types of labor input by accounting for differences in their productivity compared with other labor inputs using Finnish firm-level data from 1998 to 2008. We apply a novel idea to use hiring as one proxy for productivity and demand shocks. We find that organizational workers increase total factor productivity and improve the profitability of high-productivity firms. R&D workers account for a large share of intangible capital; however, the returns to R&D are low. Investments in organizational competence are more likely to result in more rapid productivity growth. Firms with performance-related pay or domestically owned firms with extensive foreign activities have been among the highest performers with respect to the use of organizational work.     

Size and value effects in high-tech industries: The role of R&D investment

We use monthly US stock data over 55 years from 1962 to 2017 to show that the R&D intensity at firms adds another important dimension to the size and value effects in describing stock returns, especially for small high-tech firms. A trading strategy that double sorts on R&D intensity and size or book-to-market ratio outperforms a simple small-minus-big (SMB) or high-minus-low (HML) strategy in producing higher and more significant portfolio returns. The most profitable schemes involve triple sorts by size, BM, and R&D intensity: the payoffs of buying high-BM/R&D-Active portfolio and selling low-BM/R&D-Inactive portfolio in the small-size/high-tech group and that of buying high-tech/high-BM and selling low-tech/low-BM in the small-size/R&D-active group generate a return of more than 2% on a monthly basis. Our results are robust to alternative classification method of assigning stocks in portfolios.     

The negative impact of R&D capitalization: A value relevance approach

Abstract

Accounting for R&D costs is an open issue. SFAS N°2 mandates that all R&D costs must be immediately expensed. IAS 38 requires capitalization of R&D costs if they meet certain criteria. Recent research papers show the value relevance of capitalized R&D. We test the value relevance of R&D reporting in a sample of 197 French firms between 1993 and 2002. The French context provides an interesting field for R&D value relevance studies because both accounting treatments of R&D costs (expensing and capitalization) are allowed. Unlike previous studies, we find that capitalized R&D is negatively associated with stock prices and returns. This negative coefficient on capitalized R&D implies that investors are concerned with and react negatively to capitalization of R&D. We also find that the firms choosing to capitalize (successful) R&D are smaller, more highly leveraged, less profitable and have less growth opportunities. Taking into account these characteristics, our robustness checks confirm that capitalized R&D is not associated with higher prices and is related to lower returns.     

Tracking innovation: The need for reliable measures of its presence and effects

It is generally accepted that innovation is an essential ingredient of corporate success and, when pervasive, strengthens the economy while warding off foreign competition. Many point to a perceived weakening of this process in U.S. firms as a contributing factor to the steady decline of productivity growth vital to our nation's stability. They clamor for government programs to encourage technical venturing, embracing the “R & D hypothesis” which declares that privately sponsored research is the wellspring of innovation, and thus the key to a producer's prosperity — leading to more vigorous industries.In response, Washington is seeking ways to spur private spending on R & D during this era of diminished Federal backing for research. Such initiatives are handicapped by a lack of data establishing the existence and extent of the apparent slump in industrial creativity. Also there is scant information available to management that demonstrates a close correlation between fortunes of the firm and activities characterized as innovations. Without such evidence, business appears reluctant to abandon its cautious attitude towards support of R & D that cannot be readily commercialized.Little is known about innovation's economic impact or bearing on the survival of an enterprise. The connection between industrial research and the launch of desirable products is too abstruse to permit the assumption that in-house R & D inevitably spawns viable innovations. We do not have data which permit rational decisions for the effective management of innovation by firms, or the design of a workable model for the process. This information gap has a deleterious effect in industries traditionally dependent upon research, and leads to strategies — aimed at fostering innovation — that are inadequate, badly timed or ill conceived.An innovation stems from a series of management decisions motivated by the quest for profits and tempered by industry conditions — government incentives notwithstanding. Companies pay for R & D which promises revenues that would not otherwise appear, and back a new product when the expected return is comparable to that from less risky alternative investments. They require an easily administered method for verifying, in accounting terms, the outcome of an innovation so its contribution to profits can be contrasted with the yield from product improvements or line extensions. Management could then weigh a proposed innovation the same way it evaluates other commitments.Authors of public policy need to monitor the pace of innovation on a regional or national scale so that they can determine when stimulants are called for — to restore this activity to the desired level. The traditional indices of innovation's intensity are imprecise, and misleading if the purpose be to identify a trend. “R & D expenditures” must be viewed with circumspection for they are not always incurred in pursuit of innovations, especially with increasing outlays for compliance with government regulations. “Patents awarded” or “technical articles published” are scant proof of seminal activity, and “government contracts awarded” is not a useful statistic. A true “index of innovation” is needed to guide public policy — one founded on data tied to the launching of products.In conclusion, this article suggests a technique for quantifying innovation inside the firm, as a planning tool of management and to provide the data base for a meaningful “index of innovation”. It describes the index, to be derived from data reported by a representative sample of geographically dispersed companies. A procedure is outlined for generating such data in firms, collecting it by a central authority, and calculating the index.     

Is R&D spending influenced by disinvestment and local political corruption? The case of Indian central public sector enterprises

The current study examines the effect of disinvestment (dilution of state ownership) and local political corruption on R&D spending in enterprises owned by the central government of India. Based on certain characteristic features of innovation as a strategy available to state-owned enterprises, I build two sets of hypotheses formalising the channels of how these variables may affect the possibility and amount of R&D. Data is drawn from multiple sources to compile a dataset that covers all manufacturing central government-owned enterprises in India over a period of ten years from 2007 to 2016. The study employs an instrumental variable technique to reduce the endogeneity between disinvestment and R&D decisions. We find that, while disinvestment and local political corruption have strong negative effects on whether a firm invests in R&D or not, it has no effect on the amount of R&D. In fact, the amount is driven by a host of firm-specific factors such as size, profit and proficiency of the share of skilled labor, managerial strength and non-unionisation of labor. We also find that the effects are strongly driven by the size of firms, special status awarded to firms and the ideology of the state where the enterprise operates.     

Impact assessment based sectoral balancing in public R&D project portfolio selection

Government funding agencies spend significant amounts of R&D funds through funding programs. While allocating funds among sectors or scientific disciplines, the Decision Maker (DM) wants to maximize the total impact by supporting R&D activities in those sectors with higher scientific, social and economic return. On the other hand, the DM wants to balance the funding budget over sectors or disciplines. In this study, we incorporate the results of “sectoral impact assessments” into the public R&D project portfolio selection (RDPPS) problem. We develop a two-stage model. In the first stage, we make sectoral budget allocation decisions to maximize the total impact of the budget while ensuring a relative balance among sectors. In the second stage, we maximize the total score of supported projects under allocated sectoral budgets. We illustrate the proposed approach on an example problem. We show the value of the proposed approach by comparing our results with alternative policy options.     

On the R&D/marketing interface in knowledge intensive entrepreneurial firms

In this paper we focus on the performance impact associated with whether R&D or marketing takes the lead in product innovations and/or product development. We examine empirically the performance of a sample of entrepreneurial firms across 10 European Union countries for which we can identify alternative regimes in which R&D, or in which marketing, is viewed as being relatively more important in creating and sustaining the firm’s competitive advantage. We find that when R&D is the dominant strategy, firms realize greater growth in sales, other factors held constant.     

Learning from R&D outsourcing vs. learning by R&D outsourcing

We analyze how research and development (R&D) outsourcing influences product innovation. We propose a separation between learning from R&D outsourcing, whereby the firm improves its ability to innovate by using outsourced R&D directly in new products, from learning by R&D outsourcing, whereby the firm indirectly uses outsourced R&D by integrating it with internal R&D to create new products. Building on the knowledge-based view, we argue that learning from R&D outsourcing is likely to have an inverse U-shaped relationship with product innovation, because the initial benefits of using outsourced component R&D knowledge to innovate products is eventually outweighed by the hollowing out of the firm's ability to innovate. In contrast, we propose that learning by R&D outsourcing is likely to have a U-shaped relationship with product innovation, because the initial challenges of integrating internal and external R&D are eventually overcome, resulting in more innovations. Finally, we distinguish between domestic and foreign R&D outsourcing and propose a liability of foreignness in R&D outsourcing as it has a lower impact on new products than domestic R&D outsourcing. The empirical analysis shows that outsourced R&D has an inverted U-shaped relationship with the number of new products, while the interaction between outsourced R&D and internal R&D has a U-shaped relationship with the number of new products. It also shows that domestic outsourced R&D has a higher positive impact on the number of new products than foreign outsourced R&D.     

The U-shaped effect of R&D intensity on employee downsizing: evidence from Spanish manufacturing firms (1994–2010)

Abstract

This study explores an empirically untested issue: the relationship between the level of a firm’s R&D intensity and employee downsizing. Basing our conceptual development on the Resource-Based View of the firm, we argue that a linear relationship is a poor approximation of the proposed relationship. Instead, we find theoretical insights supporting the logic that employee downsizing decreases as firms shift from low to moderate levels of R&D intensity but increases as firms change from moderate to high levels. This prediction suggests that a U-shaped link is a better representation of the way in which a firm’s R&D intensity can affect downsizing. This hypothesis is tested and confirmed using a sample of Spanish manufacturing firms during the 1994–2010 period. We also propose a novel empirical tool (i.e. dynamic probit models) that is especially useful for addressing the potential endogeneity and simultaneity problem in studying this relationship. Implications for future research and practice are presented along with the conclusions of our findings.     

Research collaboration and R&D outsourcing: Different R&D personnel requirements in SMEs

The literature on ‘open’ innovation emphasises the need to engage in external knowledge relations in order to innovate. Particularly for SMEs, research cooperation and R&D outsourcing can offer possibilities to complement the often limited internal research resources. However, they also bring in their wake requirements in terms of absorptive capacity and managerial skills of the internal R&D personnel.The paper focuses on the different requirements in terms of availability and training of research managers and R&D experts for research cooperation versus R&D outsourcing in SMEs. An empirical analysis of micro-level data provided by the OECD business R&D survey for Belgium reveals that the relation between R&D personnel requirements and research collaboration and R&D outsourcing depends upon the SME size. Therefore, to study this subject appropriately a distinction between very small, small, and medium-sized firms is relevant. Very small firms engage significantly less in research cooperation than medium-sized firms and the propensity to engage in research cooperation is positively associated with the share of PhD holders among the research managers and R&D experts. For R&D outsourcing a lower involvement is noted in medium-sized firms, and the propensity to outsource increases with the formal qualification level of the R&D personnel and with R&D training. Among the SME, small firms are most engaged in research cooperation and in R&D outsourcing. In the case of research cooperation they rely on highly qualified experts. For R&D outsourcing activities both the presence of research managers and R&D experts is important.