Credit constraints and R&D over the boom and bust: Firm-level evidence from Central and Eastern Europe

This paper studies the effect of credit constraints on R&D over the recent boom and bust episode in Central and Eastern European countries (CEECs). Given that financial and venture capital markets in CEECs are thin in comparison to those in high-income economies, it is proposed that credit constraints have a significant adverse effect on R&D activity in these countries. The paper uses three waves of Business Environment and Enterprise Performance Survey (BEEPS) data between 2005 and 2013 on manufacturing firms from ten CEECs. We find that credit constraints have a substantial effect on R&D engagement, as the probability of credit constrained firms undertaking R&D activities is around 30 % lower than for other firms. The adverse effect of credit constraints for R&D emerges during the years of fast economic growth.     

Corporate cash holdings and total factor productivity – A global analysis

Studies concerning total factor productivity (TFP) have investigated the effect of TFP on economic growth from a country-level perspective, which is a critical issue in the macroeconomics field. Few studies have examined how corporate financial decisions influence TFP from a firm-level perspective. Specifically, no extant studies have investigated how cash holdings affect firm productivity. This study utilizes data for firms in 65 countries during 1993–2017 to investigate the effect of cash holdings on TFP from a corporate perspective. The findings show that firms with higher cash holdings can enhance TFP. The results hold after considering endogenous problems, financial constraints, financial crises, corporate governance, institutional quality, and financial development as well as various robustness tests. Furthermore, we examine whether firms consistently invest their cash holdings into research and development (R&D) expenditures enhances firm productivity. The evidence indicates that higher cash holdings lead to steady increases in R&D expenditure, which improves firms’ TFP.     

Optimal regulation of technical progress in natural monopolies with asymmetric information

The focus of this paper is to characterize regulatory mechanisms for natural monopolies to provide for optimal technical progress when information is asymmetric. We model a Bayesian-Nash game where the monopolist has private knowledge of the cost-reducing effects of R&D investment to generate process innovations. In the first case, a price-regulated, profit-maximizing firm whose R&D level is unobservable sets its R&D level efficiently to maximize profits at the output level chosen by the firm. However, the level of technical progress achieved by the firm in this case is too high from the regulator's point of view since, in the second-best regulated solution of interest, the regulator has to provide for the R&D expenditures, assumed sunk, as well as for information rents transferred to the firm. In a second case, it can be shown that if the regulator can observe and set limits on the firm's investment in R&D, social welfare is improved, even though the regulated investment level is no longer efficient at the output level chosen by the firm. The reason for the welfare improvement is that losses in consumer surplus due to a decrease in output and an increase in the price are offset by a decrease in information rents and R&D costs transferred, causing the social costs of public funds to fall. Received: 31 July 1994 / Accepted: 15 January 1999     

International endogenous growth,macro anomalies,and asset prices

This paper develops a two-country production economy with complete and frictionless financial markets and international trade in which investments in research and development (R&D) by entrants lead to endogenous new firm creation and economic growth. Innovative entrants use both consumption goods in their innovation technologies to capture international technological spillovers. Households also consume both goods. Specifically, I compare the equilibrium implications from the model with technology spillovers to the ones from an equivalent model without technology spillovers, i.e. a model where entrants only use domestic final goods in their R&D expenditures. With these two models at hand, new insights on the interplay of endogenous growth and long-run risks, technology spillovers, complete financial markets, and international trade are obtained, particularly with respect to international macro and asset pricing anomalies. The novel technology spillover channel has the potential to help explaining a number of these anomalies.     

Property rights protection,financial access and corporate R&D: Evidence from a large representative sample of Chinese firms

The motivation of this paper is to explore why corporate R&D investments are significantly different under similar institutional backgrounds. Our estimates not only confirm a positive relationship from property rights protection (hereafter PRP) to corporate R&D, but also show the mediation effect of financial access on this positive relationship. Thus, we use financial access to explain the variant effect of PRP on corporate R&D. With exogenous instrumental variables, our estimates are robust to endogeneity issues.     

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.     

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.     

Replicating the R&D investments and financial structure relationship: evidence from Borsa İstanbul

I revisit the empirical relationship between R&D investments and financial structure by trying to replicate seminal paper of Aghion et al. (J Eur Econ Assoc 2:277–288, 2004). In the widely cited study, Aghion et al. (2004) found evidence of a nonlinear (an inverted U-shape) relationship—firms with positive R&D tend to use more debt than firms with zero R&D, but the use of debt falls with R&D intensity—in a sample of U.K. firms from 1990 to 2002. In order to review their significant findings, I use panel data of 177 Turkish manufacturing firms listed in Borsa ?stanbul from 2007 to 2016. Using Aghion et al.’s (2004) model specifications, I found no evidence of an inverted U-shape relationship or of any effect of R&D intensity on the leverage ratio. The study thus suggests that the effect of R&D investments on the financial structure may vary with the different samples of countries and cannot be universally generalized.     

An investigation into international assignment directions of R&D MNE employees: evidence from Greece

In this study, we explore the effects of the roles of research and development (R&D) laboratories, roles of subsidiaries and level of technological intensity of the sector in which multinational enterprise (MNE) subsidiaries operate on international assignment directions of R&D employees. International assignments are an underinvestigated issue in the international human resource management literature despite its significant research and managerial importance. In particular, to the best of our knowledge, no prior research on international assignments of R&D employees has been undertaken and so the current study aims at filling this void in the literature. Based on a large quantitative research on MNE subsidiaries operating in Greece, the findings suggest that variables of the aforementioned categories of factors influence different international assignment directions, with roles of the R&D subsidiary exerting the most crucial effect. Researchers may examine the unexplored issue of R&D employee international assignments to a larger extent, while MNE management can particularly take into account the micro (laboratory) context of R&D international assignees when developing effective international human resource management programmes.     

The differential effects of public R&D support on firm R&D: Theory and evidence from multi-country data

This paper aims to evaluate the effects of various forms of public research and development (R&D) support on firms’ incentives to invest in R&D. First, in order to identify potential channels through which public R&D support influences firm R&D, a formal model of firm R&D with public R&D support is developed and analyzed. Four potential channels are identified: the technological-competence-enhancing effect, the demand-creating effect, the R&D-cost-reducing effect and the (project) overlap (or duplication) effect. These multiple channels indicate that it is difficult to evaluate the aggregate effect of public R&D support and that there are differential effects of public R&D support on firm R&D, depending on various firm- or industry-specific characteristics. Second, the differential effects of public R&D support are empirically tested using unique firm-level data for nine industries across six countries. Public support tends to have a complementarity effect on private R&D for firms with low technological competence, for firms in industries with high technological opportunities and for firms facing intense market competition. In contrast, firms with high technological competence and firms that have enjoyed fast demand growth in recent years show a crowding-out effect, and firm size and age do not show any discernible differential effect.     

Managerial incentives and R&D investments: The moderating effect of the directors’ and officers’ liability insurance

Literature regarding the impact of managerial incentives on firm’s research and development (R&D) investments suggests that due to the riskiness of R&D activities, firms need to provide managerial incentives to encourage managerial discretion on corporate long-term investments of R&D. In spite that managerial incentives influence corporate R&D spending, some also argue corporate R&D spending a function of managerial incentive schemes. This paper applies the simultaneous equation to investigate the association between managerial discretion on R&D investments and the incentive scheme of CEO compensations by using the sample firms listed in Taiwan Security Exchange and Taipei Exchange. The results indicate that the listed firms in Taiwan simultaneously determine corporate R&D investments and CEO compensations. They reward their CEOs in compliance with their efforts on R&D investments and CEO compensation motivates CEOs to align their interests with firms’ long-term investments on R&D. A further analysis of the protection effect from the directors’ and officers’ (D&O) liability insurance suggests that D&O protection intensifies the relationship between R&D investments and CEO compensation. It encourages CEOs to allocate resources on R&D activities and make CEO incentive contracts efficacious on corporate long-term investments. The result is robust in the electronic industry of Taiwan.     

The R&;D and productivity relationship of Korean listed firms

This study analyzes the relationship between R&D investment and the productivity of Korean R&D-engaged firms. An interdependent chain of equations including the propensity to invest, R&D investment and productivity are estimated in a multi-step procedure accounting for selectivity and simultaneity biases. Using Korean firm level panel data of listed firms from 1986 to 2002, we find four main empirical results. First, there is a two-way causal relationship between R&D investment and productivity for Korean listed firms. Second, Chaebol firms were associated with lower R&D growth as well as lower labor productivity growth in comparison to non-Chaebol firms. Third, there was a substantial reduction in growth rates both in R&D investment and labor productivity in 1997-1998, immediately following the Asian financial crisis. Fourth, considering the positive feedback effect from productivity growth to R&D growth, a decrease in R&D investment growth after the Asian financial crisis should have been harmful by further decreasing productivity growth.     

Managing technology licensing for stochastic R&D: from the perspective of an enterprise information system

Enterprise information technology (IT) plays an important role in technology innovation management for high-tech enterprises. However, to date most studies on enterprise technology innovation have assumed that the research and development (R&D) outcome is certain. This assumption does not always hold in practice. Motivated by the current practice of some IT industries, we establish a three-stage duopoly game model, including the R&D stage, the licensing stage and the output stage, to investigate the influence of bargaining power and technology spillover on the optimal licensing policy for the innovating enterprise when the outcome of R&D is uncertain. Our results demonstrate that (1) if the licensor has low (high) bargaining power, fixed-fee (royalty) licensing is always superior to royalty (fixed-fee) licensing to the licensor regardless of technology spillover; (2) if the licensor has moderate bargaining power and technology spillover is low (high) as well, fixed-fee (royalty) licensing is superior to royalty (fixed-fee) licensing; (3) under two-part tariff licensing and the assumption of licensors with full bargaining power, if a negative prepaid fixed fee is not allowed, two-part tariff licensing is equivalent to royalty licensing which is the optimal licensing policy; if negative prepaid fixed fee is allowed, the optimal policy is two-part tariff licensing.     

Mining the R&D innovation performance processes for high-tech firms based on rough set theory

The research and development (R&D) innovation of firms continues to be viewed as an important source of competitive advantage to academics and practitioners. To explore and extract the R&D innovation decision rules, it is important to understand how the R&D innovation rule-base works. However, many studies have not yet adequately induced and extracted the decision rule of R&D innovation and performance based on the characteristics and components of the original data rather than on post-determination models. The analysis of this study is grounded in the taxonomy of induction-related activities using a rough set theory approach or rule-based decision-making technique to infer R&D innovation decision rules and models linking R&D innovation to sales growth. The rules developed using rough set theory can be directly translated into a path-dependent flow network to infer decision paths and parameters. The flow network graph and cause-and-effect relationship of decision rules are heavily exploited in R&D innovation characteristics. In addition, an empirical case of R&D innovation performance will be illustrated to show that the rough sets model and the flow network graph are useful and efficient tools for building R&D innovation decision rules and providing predictions. We will then illustrate that integrating the flow network graph with rough set theory can fully reflect the characteristics of R&D innovation, and, through the established model, we can obtain a more reasonable result than with artificial influence.     

Real options game models of R&D competition between asymmetric firms with spillovers

Using real options game models, we consider the characterization of strategic equilibria associated with an asymmetric Research and Development (R&D) race between an incumbent firm and an entrant firm in the development of a new innovative product under market and technological uncertainties. The random arrival time of the discovery of the patent protected innovative product is modeled as a Poisson process. Input spillovers on the R&D effort are modeled by the change in the leader’s hazard rate of success of innovation upon the follower’s entry into the R&D race. Asymmetry between the two competing firms include sunk costs of investment, stochastic revenue flow rates generated from the product, and hazard rates of arrival of success of R&D efforts of the two firms. Under asymmetric duopoly, we obtain the complete characterization of the three types of Markov perfect equilibria (sequential leader–follower, preemption and simultaneous entry) of the firms’ optimal R&D entry decisions with respect to various sets of model parameters. Our model shows that under positive input spillover, preemptive equilibrium does not occur in the R&D race due to the presence of dominant second mover advantage. The two firms choose optimally to enter simultaneously if the sunk cost asymmetry is relatively small; otherwise, sequential equilibrium would occur. When the initial hazard rate is low relative to the level of input spillover, simultaneous entry would occur as an optimal decision, signifying another scenario of dominant second mover advantage. On the other hand, when the initial hazard rate is sufficiently high so that the first mover advantage becomes more significant, simultaneous equilibrium does not occur even under high level of positive input spillover.     

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.     

How does R&D intensity influence firm explorativeness? Evidence of R&D active firms in four advanced countries

Despite R&D is seen as a starting point of innovation, firms usually confront a trade-off in allocating limited R&D resources to either exploratory or exploitative activities. Relative to the latter, the former produces a more distinctive variation from the prior knowledge base and helps the firm tap into new opportunity. Given the increasing importance of firm explorativeness in the fast changing environments, the influence of R&D investment on firm explorativeness is not yet conclusive in the literature, not to mention whether the increased R&D investment induces firms to become more explorative. This study aims to generate insight into how and when firm explorativeness is determined by their R&D intensity. As a notion of the use of knowledge new to the organization, firm explorativeness is treated as the degree of using knowledge new to the organization in the pursuit of innovation. Based on a panel data of 1267 firm-year observations in four advanced countries during 1999–2003, the results reveal that a higher level of R&D intensity makes firms more exploitative and less explorative. Nevertheless, the negative relationship between R&D intensity and firm explorativeness is found to be alleviated in the presence of technological opportunity or financial slack. The configurational model sheds further light on the combined and relative weight of two moderators.     

Economic conditions for innovation: Private vs. public sector

The Hicks induced innovation hypothesis states that a price increase of a production factor is a spur to invention. We propose an alternative hypothesis restating that a spur to invention requires not only an increase of one factor but also a decrease of at least one other factor to offset the companies’ cost. We illustrate the need for our alternative hypothesis in a historical example of the industrial revolution in the United Kingdom. Furthermore, we econometrically evaluate both hypotheses in a case study of research and development (R&D) in 29 OECD countries from 2003 to 2017. Specifically, we investigate the dependence of investments to R&D on the economic environment represented by average wages and oil prices using panel regression. We find that our alternative hypothesis is supported for R&D funded and/or performed by business enterprises while the original Hicks hypothesis holds for R&D funded by the government and R&D performed by universities. Our results reflect that the business sector is significantly influenced by market conditions, unlike the government and higher education sectors.     

Coordination in global R&D organizations: An examination of the role of subsidiary mandate and modular product architectures in dispersed R&D organizations

International research and development (R&D) operations require a significant amount of coordination between the headquarters and the subsidiaries in order to integrate the dispersed activities in one final product. This article explores what mechanisms multinational companies (MNCs) use to coordinate their overseas R&D units. Based on a multiple case study involving nine MNCs with overseas R&D subsidiaries of varying mandates, we find that R&D sites with high technology and/or market orientation tend to be coordinated by informal mechanisms while sites with little technology and/or market orientation tend to be coordinated by formal mechanisms. Furthermore, it appears that this relationship is strongly affected by the product’s architecture: while rather complex R&D activities are conducted at the systems level and at sites with high technology orientation, less complex R&D activities are conducted at the component level at sites with low technology and market orientation. Finally, the findings suggest that modular product architectures have a coordinating effect in global R&D activities which have the power to lower firms’ overall coordination effort. The findings bear important implications for the effective coordination of MNCs’ international R&D subsidiaries.     

Knowledge management system for fourth generation R&D: KNOWVATION

Since the advent of the embryonic model almost a century ago, R&D systems have gone through an evolutionary process of development that can be classified into three generations. Today, the fourth generation of R&D is emerging that emphasizes both strategic and operational importance of knowledge management (KM). Despite the importance of KM, the network between conceptual scheme of the fourth generation R&D and practical system of KM remains a missing link. In response, the main objective of this paper is to present a framework for designing and implementing knowledge management system (KMS) for the fourth generation R&D. The proposed system is named KNOWVATION, which combines the notions of knowledge and innovation. First, the evolutionary classification of the R&D generations and the corresponding characteristics of the respective generations are defined. Second, the organizational structure and knowledge functions of the fourth generation R&D are derived. Finally, the overall design framework and detailed sub-modules are presented.