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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.

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.

Based on the socioemotional wealth theory, this study aims to empirically investigate how founder reign, that is a founder serving as a cheif executive officer (CEO) or chairman, influences family firms' research and development (R&D) investment in emerging economies (e.g. China).

This study empirically tested the hypotheses based on a sample of listed Chinese family companies from 2008 to 2018.

Founder reign has a negative impact on family firms' R&D investment. Particularly, the negative impact of the founder serving as chairman on family firms' R&D investment is larger than the negative impact of the founder serving as CEO on family firms' R&D investment. Founder's military experience weakens the negative impact of founder reign on family firms' R&D investment, but founder's executive master of business administration (E)MBA experience has no moderating effect on this relationship.

First, the authors contribute to the family firm innovation literature by providing an alternative but complementary explanation of why family firms have relatively low R&D investment levels. This research shows that founder reign is a key reason for family firms in China eschewing R&D investment. Second, by incorporating the founder serving as CEO and the founder serving as chairman into the analytical framework, and then examining their impact on family firms' R&D investment, our research helps us to fully understand the impact of founder reign on firm strategic actions. Third, we contribute to the “founder reign-firm strategic actions” framework by revealing how founders' human capital profoundly affects the relationship between founder reign and family firms' R&D investment.

On the basis of behavioural agency theory and resource-based view, this study investigates the influence of family firm birth mode (i.e. indirect-established or direct-established), family entering time on R&D investment and the moderating role of the family entering time on the relationship between birth mode and R&D investment.

The authors collected 2,990 firm-year observations from family firms listed on A-share in China from 2008 to 2016 in the China Stock Market and Accounting Research database. They used pooled regression for data analysis and Tobit regression for robustness checks.

Indirect-established family firms show more inclined behaviour towards R&D investment than direct-established counterparts. Family entering time positively affects the R&D investment of family firms. Moreover, family entering time plays a significant moderating role in the relationship between family firm birth mode (i.e. indirect-established or direct-established) and R&D investment.

To the best of the authors’ knowledge, this work is a pioneering study that introduced the concept of family firm birth mode (i.e. indirect-established or direct-established) and family entering time. This work is novel because it differentiated family firms according to their birth modes, an approach which is a contribution to the existing literature of family firms. Moreover, the investigation of the moderating role of family entering time has also produced notable results that help understand the impact of family entering time on different types of family firms. The interpretation of outcomes according to behavioural agency theory also produced useful insights for future researchers as well as for policymakers.

The purpose of this study is to examine whether and how internal capital markets mitigate financial constraints and enhance firms' willingness to engage in R&D projects.

The study uses panel data relating to 2,095 publicly traded firms in the Chinese A-share market for the period 2007–2019. The tobit regression method is applied to explore R&D investment–cash flow sensitivity of group affiliates, while the systematic generalised method of moments and dynamic ordinary least squares models are adopted to address the endogeneity problem in the robustness test.

This study finds that firms affiliated with business groups demonstrate lower R&D investment–cash flow sensitivity than non-affiliated firms do and that R&D investments are significantly influenced by the cash reserves of other group members. In terms of financing channels, this study demonstrates that group firms use internal cash and equity financing to support other members' R&D investments, while debt financing does not influence member firms' R&D investments. In addition, this study discovers that R&D spending harms the stock and operating performance of some group members.

The findings of this study enable business groups to focus on resource allocation and investment efficiency.

Although prior studies indicate that internal capital markets can enhance R&D spending, few studies reveal the mechanisms through which internal capital markets benefit R&D. This study uses a unique methodology to test the ability of the internal capital market to enhance R&D spending. In addition, group firms use internal cash flow and equity financing to support partners' R&D projects.

Emerging economy firms seek strategic assets through cross-border acquisitions (CBAs) to upgrade their capabilities. The paper explores the relation between emerging economy firms' investments in CBAs and subsequent investments in domestic R&D. It investigates the underlying mechanism that links a firm's decision to pursue CBAs and the outcomes from the CBAs. The main idea behind the study is that firms have higher possibility of creating value from cross-border acquisitions when they simultaneously invest in domestic R&D though both investments are constrained by financial and managerial resources.

The hypotheses are tested on a panel data set of 296 Indian firms over a period of 13 years (2003–2015). The authors use a two-stage Heckman procedure for testing their hypotheses. In the first stage, a probit model predicts the probability of a firm being a cross-border acquirer. The second stage model is estimated by a pooled-data GLS (generalized least squares) regression technique.

The authors find a nonlinear (inverted U-shaped) relationship between firm's investments in CBAs and domestic R&D. This suggests a complementary relation between investments in CBAs and a firm's domestic R&D at lower levels of investments in CBAs. At higher levels of investments in CBAs, CBA investments begin to substitute for firm's domestic R&D investments. For firms with higher international product-market experience and those operating in the hi-tech industry, the relationship between investments in CBAs and domestic R&D is complementary even at higher levels of CBA investments.

The study highlights the role of an emerging market firm's investment in domestic R&D as a link between the decision to invest in CBAs and related outcomes thereof. Emerging market firms face resource constraints while pursuing simultaneous investments in CBAs and R&D, but investment in R&D is essential for realizing the acquisition objectives. The authors also establish the significance of industry context and experiential learning in deciding the allocation of resources between CBAs and internal R&D.

Employing the anti-corruption campaign as an exogenous political shock, this paper examines how political intervention shapes the impact of financial expert CEOs on firm investment decisions.

This paper uses a sample of 2,808 Chinese firms listed in the Shanghai and Shenzhen Stock Exchanges from 2003 to 2016. Panel data is used for conducting the analysis controlling for firm, industry, and year fixed effects.

The authors found that CEOs with financial expertise are sensitive to political intervention when making investment decisions. First, financial expert CEOs spend more on R&D expenditure in private-owned companies and they are associated with less R&D expenditure in state-owned enterprises (SOEs). Second, financial expert CEOs are associated with higher investment expenditure in general, but they become less likely to invest more in the post-anti-corruption period. The reduction in investment expenditure due to the anti-corruption campaign is more pronounced in SOEs than in private-owned companies. Third, the anti-corruption campaign promotes R&D investment in general, but in SOEs, expert CEOs tend to be less likely to invest more on R&D after the anti-corruption shock.

This paper enriches the growing literature on the impact of political intervention and the role of the anti-corruption campaign on corporate behaviour.

The purpose of this paper is to compare investment in innovation (e.g. R&D) between new venture start‐ups before commercialization and operating businesses after commercialization.

Real options methods were used to model a new venture start‐up as a perpetual call option on an operating business that grows with R&D. The operating business uses R&D to improve actual earnings while the start‐up uses R&D to improve prospective earnings. When the start‐up entrepreneur commercializes his/her new product, device, or service with conventional investment (e.g. plant, property, and equipment to begin production), prospective earnings convert into actual earnings.

The ability of the start‐up entrepreneur to avoid commercialization costs upon failed R&D makes R&D more valuable to the start‐up entrepreneur than to the manager of the already operating business (for whom commercialization costs are sunk) and despite R&D costs that the start‐up incurs without the revenues that only commercialization generates. The value of R&D to the start‐up can be so great that the entrepreneur invests in R&D before the manager of an otherwise similar operating business in similar business conditions.

Without favoring either a priori, the authors show that under broad circumstances, a new venture start‐up undertakes R&D before an already operating business. The authors also discuss the empirical implications of the results.

The purpose of this paper is to explore the impact of peer-to-peer (P2P) supply chain financing on companies' innovation efficiency.

This study takes the core companies that invest in the P2P platform as the research background and uses data for Chinese companies and the systematic Generalised Method of Moments (the systematic GMM) to explore the relationship between the improvement of supply chain efficiency, research and development (R&D) investment, and innovation efficiency.

This study indicates that core enterprise investment in P2P can cause a significant improvement in the efficiency of the supply chain and that this improvement can significantly motivate enterprises to increase R&D investment. Although the improvement of supply chain efficiency has no significant effect on improving companies' innovation efficiency, it can have a positive impact on innovation efficiency through the regulating role of R&D investment.

This research shows several limitations such as single industry and few companies involved, but it analyses the impact of P2P supply chain financing on R&D investment, and companies' innovation efficiency and broadens the research field of P2P supply chain financing.

This article provides a theoretical direction for listed companies to invest in P2P platforms and achieve supply chain management. The research on the regulating role of this article provides a new way of thinking for the study of enterprise innovation.

This paper analyses the impact of the core enterprise investment in P2P on R&D investment and its subsequent impact on the companies' innovation efficiency, thus broadening the research field of P2P supply chain financing.

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.