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This study aims to investigate the impact of supply chain concentration (SCC) on corporate research and development (R&D) investment and determine the moderating roles of industry concentration and financing constraints on the relationship between SCC and R&D investment.

The study collected data from Chinese listed companies, used the fixed effects model to test the research hypotheses and further used the two-stage Heckman test and propensity score matching (PSM) to address potential endogeneity issues.

The result reveals a negative impact of SCC on corporate R&D investment. In addition, industry concentration mitigates the negative impact of SCC on corporate R&D investment, but financing constraints strengthen the negative impact.

This study introduces the concept of SCC and empirically tests its effect on R&D investment, further explaining the lack of corporate innovation. This study inspires companies to strengthen SC management and weigh the level of SCC with environmental factors.

This study aims to shed light on driving factors of research and development (R&D) investments by considering financial statement-based characteristics, audit quality, and Schumpeterian variables. This study distinguishes between capitalized R&D investments and expensed R&D investments by taking different accounting treatments into account. Based on a sample of listed manufacturing firms on Borsa Istanbul over 2013–2018, this study concludes that (i) competition (size) decreases (increases) R&D investments, (ii) big4 auditors pay more attention to the proper accounting treatment of R&D investments, (iii) internal financing does not affect R&D investments, and (iv) liquidity (leverage and marketing expenditures) plays a positive (negative) role in only capitalized R&D investments.

We study the events that motivate CEOs to underinvest in R&D long-term projects (CEO myopia). Based on the existing literature in earnings management and agency theory, myopia is likely to become more problematic under five circumstances: when the CEO nears retirement (the CEO horizon problem), R&D projects have very long time horizons (the project horizon problem), the firm’s financial health is deteriorating (the cover-up problem), ownership structure is heavily weighted toward insider owners (minority owner oppression problem), and when the threat of hostile takeover increases (the entrenchment problem). We setup a dynamic simulation model in which rational CEOs maximize the total value of their bonus compensation over their tenure. Our findings related to the five circumstances are consistent with the extant literature. However, we found an unexpected stable, nonlinear (inverted U-shaped) relationship between CEO tenure and R&D investment. We discuss the theoretical implications of our model and offer suggestions for future research.

The chapter examines whether the lowering of dividend taxes as part of the US Jobs and Growth Tax Relief Reconciliation Act of 2003 (JGTRRA) resulted in an increase in dividend payouts at the expense of research and development (R&D) spending. Using 1,206 US firm-years data, we find that R&D investments responded negatively to higher levels of dividend payout in the post-JGTRRA of 2003 tax regime compared with the pre-regime. We also find that R&D intensity and financial constraint moderate this negative relation. That is, this relation only holds for firms in low R&D-intensity industries and firms facing high levels of financial constraint. From a tax policy perspective, even though the tax cut on dividend receipts has the benefit of lowering the cost of equity capital, the benefit appears to have come at the expense of R&D investment.

This study aims to elaborate on how firms manage research and development (R&D) activities by examining the relationship between ownership concentration and corporate R&D investment, as well as the moderating role of stock options in this relationship.

The study sample comprised 354 Chinese listed firms from 2011 to 2019, and the Tobit model and the system GMM test are used to check robustness.

The results reveal that ownership concentration and R&D investment have an inverted U-shaped relationship. In the presence of stock options, this inverted U-shaped relationship is significantly weaker.

The results have important managerial implications for firms that aim to grant stock options and improve the impact of ownership concentration on R&D investment strategies.

This study aims at the sudden outbreak of COVID-19, which had an unprecedented negative impact on the Chinese economy, with firms being affected most. Firms differ in terms of their specific internal environment, shaping their ability to respond to the outbreak, so the impact may also vary.

In this paper Chinese listed firms are selected as samples to investigate the mediating effect of prior digital technology on the relationship between R&D (research and development) investment (funds and staff) and firm performance during the epidemic. Firm size and diversification are then introduced as moderating variables to explore the conditional mediating effect of digital technology.

The results indicate that the higher the firm's prior R&D investment, the higher its digital technology level, and thus the stronger its resistance to the epidemic. Moreover, compared with large-scale firms, small-scale firms have the advantage of strategic flexibility to technological changes, which can help them accumulate experience from R&D activities for digital transformation, thus attenuating the negative impact of the COVID-19 on firm performance. Finally, the results also show that digital technology mediates more strongly between R&D investment and firm performance in diversified firms than in centralized firms.

The study builds a mediation model to reveal the process mechanism through which R&D investment affects firm performance via digital technology. Firm size and diversification are then innovatively introduced as situational factors to build the moderated mediation model, which opens up a new perspective for understanding the effect of firm internal factors on the relationship between R&D investment, digital transformation and firm performance.

Despite the importance of research and development (R&D), information on its value is not readily available to managers. This study aims to explore the role of common auditors, who audit multiple peer firms in the product market, in clients’ R&D investment decisions. This study highlights common auditors as information intermediaries who affect corporate R&D investment, focusing on the importance of knowledge resources in R&D investment and the limited ability of peers’ public information to communicate the value of R&D.

This study employs pairwise data of firm-peer-year observations to identify a common auditor who provides audit services to the focal firm and its peer firm. This study examines how a firm’s R&D investment changes when the firm’s incumbent auditor provides audit services to peers and analyzes various factors that moderate the effect of common auditors.

Peer firms audited by the same auditor make similar R&D investment decisions. This effect is more pronounced when the auditor specializes more in auditing R&D, when the auditor has a long-term client relationship, and when the firms exhibit a higher level of demand for incremental information relevant to R&D investment. Consistent with the beneficial role of common auditors, firms that are more responsive to auditor-provided information engage more actively in innovation activities in subsequent years.

This study deepens the understanding of how networks created by common auditors facilitate information flow among client firms and shape these firms’ R&D investment decisions.

This study examines the differences in the economic stimulus effects, transmission mechanisms, and output multipliers of government consumption, government traditional investment, and government science and technology investment.

This study constructs and estimates a New Keynesian model of endogenous technological progress embedded in the research and development (R&D) and technology transfer sectors. Using Chinese macroeconomic time series data from 1996 to 2019, this study calibrates and estimates the model and analyzes the impulse response function and a counterfactual simulation of expenditure structure adjustment.

The results show that compared with the traditional dynamic stochastic general equilibrium (DSGE) model, the endogenous process of technological progress amplifies the impact of government consumption shock and traditional government investment shock on the macroeconomy, leading to greater economic cycle fluctuations. As government investment in science and technology has positive external spillover effects on firm R&D activities and the application of innovation achievements, it can promote more sustainable economic growth than government consumption and traditional investment in the long run.

This study constructs an extended New Keynesian model with different types of government spending, which includes endogenous technological progress within the R&D and technology transfer sectors, thereby linking fiscal policy, business cycle fluctuations and long-term economic growth. This model can study the macroeconomic impact of fiscal expenditure structure adjustment when fiscal expansion is limited. In the Bayesian estimation of model parameters, this study not only uses macroeconomic variables but also adds a sequence of private R&D investment.

In the present study, using a novel fractional logit model, the link between R&D (Research & Development) investment and shareholder value-based CEO (Chief Executive Officer) compensation has been examined within the non-financial sector in the Euro area economies using a firm-level dataset for 2002–2019.

The fractional logit model is utilized to examine the effects of corporate payment on R&D investment. The fractional logit model can be considered the empirical approach that takes into account R&D non-performer firms to avoid reducing the sample size. The fractional logit model is superior to the censored or truncated models, like Tobit, since the fractional logit model is useful to address the econometric limitations that are found in the censored and truncated models in the non-linear models.

The findings obtained in this study showed a significant and negative effect of short-term aim-based CEO payment on R&D expenditures in the Euro area economies using firm-level data. These findings are robust to different robustness checks and modeling alternatives.

To the author's knowledge, there is no study that examines the effects of short-term shareholder value maximization-based CEO compensation on R&D in the European context in the literature.

The aim of this paper is to explore the family firms' propensity to undertake R&D investments after going public, showing how it varies due to the ownership structure.

The analysis is based on a sample of 132 French and Italian family and nonfamily IPOs in the period 2013–2018.

The empirical findings show a positive relationship between the quantity of post-IPO shares retained by family owners and R&D investments. Furthermore, the abovementioned relationship is negatively affected by the generational stage and positively by the presence of a lone founder.

Outside investors of family firms may be assured in buying shares of founding family firms after going public because they are stimulated to undertake R&D investments and therefore create overall value in the long term. Furthermore, external managers of lone-founder and first-generation family firms can adopt innovation investments without fear of being replaced as a consequence of a hostile takeover. Lastly, private equity should support later generation family IPOs, providing them with capital and managerial skills in order to generate value for shareholders.

Past studies have mostly shown family firms' reluctance to undertake R&D investments; however, scholars have focused on private or public family firms, ruling out the analysis of family firms' innovation behaviour within the setting of an IPO. To the best of the author's knowledge, this study represents the first empirical attempt to investigate the relationship between family firms and post-IPO innovation investments, when the capital infusion relaxes the financial constraints of family firms.