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This study investigated the effectiveness and applicability of China’s innovation-driven policies on encouraging sports firms to invest in research and development (R&D) activities.

Through a series of multiple linear regression models, this study examined the direct and interaction effects of innovation-driven polices and firm characteristics on R&D investment for sport firms listed on the New Third Board in China.

Results showed that financing constraints and certification as a high-tech enterprise were not themselves significant predictors of R&D investment; instead, the number of R&D staff and a firm's total assets were identified as key internal factors predicting the level of a firm's R&D investment. Other effective policy tools for stimulating Chinese sport firms' R&D investments included pre-tax deductions of R&D expenses, government R&D subsidies and income tax relief for high-tech enterprises, although their effects were heterogeneous.

This study observes a new theoretical discovery that when the financing constraints do not limit R&D investment, innovation-driven strategies remain effective tools to stimulate the R&D investment of sports firms.

The findings provided practical guidance for both government–industry policymakers and sport business managers to prioritize the identified areas of significance when promoting R&D.

First, this study focused on sport firms, which constitute a quickly growing industrial sector in China. The findings offered important insights for the government as well as corporate management with regard to promoting new industries and new enterprises. Second, this paper analyzed the effects of three special innovation-driven policies on R&D investment and explored enterprise innovation development in more detail. Third, this paper discussed not only the effects of innovation-driven policies on R&D investment but also the heterogeneity of their effects. The related conclusions could help improve the development, implementation and assessment of innovation-driven policies.

The purpose of this paper is to describe the basic workings of the research and development tax credit and highlight the interconnection between the credit and strategic implications to research, product development and overall market competitiveness. It explains how this credit can be a hidden and immediate source of cash for companies that are involved in research activities and have invested time, money, and resources to the advancement and improvement of their companies' products and processes.

The catalysts for this article came from interviews and discussions with scientists, engineers and CEO's of small to mid‐size companies who were unaware of this credit.

Managers commonly misclassify R&D expenses as something else. For example, specialized computer software that is used in R&D may be misclassified as general and administrative expense. Consultants can potentially save a significant amount of tax dollars by examining client records, interviewing client personnel to gain an understanding to see if reclassification is possible.

The original viewpoint presented in this article suggests that manufacturing, research and development, corporate, and tax strategy are all interconnected. These need to be considered in tandem to optimize the overall effectiveness of the R&D dollars spent.

This paper aims to examine the effect of innovation-driven polices on innovation efficiency of sport firms listed on the new Third Board in China.

Firm innovation efficiency, including comprehensive innovation efficiency, pure technical efficiency and scale innovation efficiency were calculated by using data envelopment analysis (DEA) models. The input variables and output variable in the DEA model were selected through correlation analysis. The effects of several innovation-driven policies on the innovation efficiency of sport firms were analyzed by a series of multiple regression analyses.

Regarding the innovation efficiency evaluation of sport firms, total research and development (R&D) investment and total R&D staff are two suitable input variables, and total profit, sales revenue and new effective patent are three suitable output variables. Income tax relief for high-tech enterprise has a positive effect on comprehensive innovation efficiency and pure technical efficiency, and governmental subsidies have a negative effect on comprehensive innovation efficiency and pure technical efficiency. However, pretax deduction of R&D expenses does not have a significant effect on comprehensive innovation efficiency, pure technical efficiency and scale innovation efficiency, and income tax relief for high-tech enterprise and pretax deduction of R&D expenses also have no effect on scale innovation efficiency. For a large-scale sport firm, the negative effect of “governmental subsidies” and the positive effect of “income tax relief for high-tech enterprise” on its pure technical efficiency are more significant. For a sport firm with more R&D staff, governmental subsides and “income tax relief for high-tech enterprise” have more positive effect on its innovation efficiency.

The study findings could potentially provide practical guidance to both managers and government-industry policymakers in the sports industry.

Firstly, this paper focused on Chinese sport firms from a rising industry in a developing country (China). The related conclusions are conducive to the governmental management of new industries and the innovation management of new enterprises. Second, this paper analyzed the effect of three special innovation-driven policies on three types of innovation efficiency and explored enterprise innovation development in more detail. Third, this paper not only discusses the effect of innovation-driven policies on innovation efficiency, but also the heterogeneity of their effects.

This paper aims to examine the relationship between research and development (R&D) intensity and innovative performance and R&D intensity as a moderating variable in the relationship between sources of information and innovative performance.

This is a quantitative, nonexperimental, cross-sectional study of the data collected from national surveys of innovation activities from Ecuador, Peru and Chile where the investigation was carried out. A bivariate probit regression was applied.

The results of the investigation pinpoint that R&D intensity is positively related to the innovation of products and processes in Ecuador and Peru. However, no relationship was found in Chile. As a moderating variable of the information sources (customers, suppliers and competitors), and the innovation of products and processes, it shows different results in the three countries examined.

This study contributes to the literature with evidence in countries with low rates of investment in R&D in the countries examined, this relationship does not always exist; this relationship is considered to be dependent on the complexity of the knowledge and internal capabilities of the company required to achieve innovation, and this complexity could vary according to the type of manufacturing and technology level of the companies. Thus, in manufacturing companies of less complexity to achieve the necessary knowledge for innovation, low rates of investment in R&D are sufficient for the relationship to exist.

By increasing their R&D intensity, companies acquire technology and develop internal skills and capabilities that boost their innovative potential. Nevertheless, it is not enough to increase R&D intensity to take advantage of external sources of information, it is also necessary to boost the absorptive capacity to assimilate and take advantage of external knowledge.

This study contributes to the scarce evidence that exists, on the literature in developing countries, on the effect of R&D intensity on innovative performance and provides evidence of R&D intensity as a moderating variable of the relationship between sources of information and innovative performance.

The purpose of this paper is to value the patents of pharmaceutical companies using discounted cash flows, and compare the value-relevance of these assets against alternative intangible asset measures such as reported intangible assets and R & D capital.

The study values pharmaceutical intangibles using three methods: an income method; the sum of unamortised R & D expenditures; the firm’s reported intangible assets. Value-relevance tests use ordinary least squares regression and Vuong and Clarke tests.

First, the study finds that the discounted cash-flow valuation of pharmaceutical patents is value-relevant. Second, the value of pharmaceutical patents explains market value better than reported intangible assets but not R & D capital. However, the valuation of pharmaceutical patents is more consistent with the risks of R & D than the valuation of R & D capital which assumes recovery of R & D expenditure.

This is the first known study that values patents using an income method and compares those valuations with reported intangible assets and R & D capital valuation models.

This paper aims to investigate two related questions on business research and development (R & D) simultaneously. First, does R & D create or resolve uncertainty? Second, does uncertainty encourage or discourage business R & D?

This paper uses the three-stage least squares regression method and a system of simultaneous equations to examine the two research questions simultaneously. Instrumental variables overcome the econometric endogeneity problem.

The results are consistent with the hypothesis that R & D creates rather than resolves uncertainty. Why then do risk-averse business managers undertake R & D? This paper argues that in creating uncertainty, R & D also creates “shadow options” for supplementary business investment not envisaged by business managers in the original objective for R & D. Rather, managers unexpectedly uncover shadow options in R & D’s inherent knowledge discovery process, which encourages business R & D in the first instance. Consistent with this real options interpretation, this paper reports evidence that volatility encourages R & D.

This paper differs from the current literature in the sense that it investigates the two related R & D questions simultaneously rather than individually. The authors argue that the two related questions are inextricably interrelated, and investigating the two questions simultaneously would provide results that can possibly solve conflicting empirical results in the current literature. The results are also particularly useful for business managers who make decisions on whether to undertake R & D projects or not.

This study proposes a novel measure for management’s horizon (short-termism or myopia vs long-termism or hyperopia) derived from easily obtainable firm-level accounting and stock market performance data. The authors use the measure to explore the impact of managements’ horizon on firms’ investment efficiency.

The authors rely on two commonly used but uncorrelated measures of management performance: accounting performance (return on capital employed, ROCE) and stock market performance (average abnormal return, AAR). The authors combine these measures to develop a multidimensional framework for performance, which classifies firms into four groups: efficient (high accounting and high market performance), poor (low accounting and low market performance), myopic (high accounting and low market performance) and hyperopic (low accounting and high market performance). The authors validate this framework and deploy it to explore the relationship between horizon and firms’ investment efficiency.

In validation tests, the authors show that management myopia (hyperopia) explains firms’ decision to cut (grow) research and development investments. Further, as expected, myopic (hyperopic) firms are associated with significantly more (less) accrual and real earnings management. The empirical tests on the link between horizon and investment efficiency suggest that myopic managers cut new investments while their hyperopic counterparts grow the same. Ultimately, the authors find that myopia (hyperopia) exacerbates(mitigates) the over-investment of free cash flow problem.

The authors introduce a framework for assessing management’s horizon using easily obtainable measures of performance. The framework explains inconsistencies in prior empirical research using different measures of performance (accounting versus market). The authors demonstrate its utility by showing that the measure explains decisions around research and development investment, earnings management and firm investments.

This study investigates the effect of managerial ability on labor productivity by analyzing various methods in the firm-year panel data of listed firms in South Korea from 2002 to 2019. Managerial ability was analyzed using the measurement method of Demerjian et al. (2012), while labor productivity was analyzed using value-added and sales. The authors find that managerial ability has a positive effect on labor productivity. In other words, the productivity of employees improves with the appointment of a manager with higher abilities. The study’s findings suggest that firms should consider managerial ability as a means of improving labor productivity.

The paper examines whether, along with the financial performance, the disclosure of research and development (R&D) expenses, patent portfolios, patent citations and innovation activities affect the market capitalization of Russian companies.

The paper opted for a set of techniques including bag-of-words (BoW) to retrieve additional innovation-related data from companies' annual reports, self-organizing maps (SOM) to perform visual exploratory analysis and panel data regression (PDR) to conduct confirmatory analysis using data on 74 Russian publicly traded companies for the period 2013–2019.

The paper observes that the disclosure of nonfinancial data on R&D, patents and primarily product and marketing innovations positively affects the market capitalization of the largest Russian companies, which are mainly focused on energy, raw materials and utilities and are operating on international markets. The study suggests that these companies are financially well-resourced to innovate at risk and thus to provide positive signals to stakeholders and external agents.

Our findings are important to management, investors, financial analysts, regulators and various agencies providing guidance on corporate governance and sustainability reporting. However, the authors acknowledge that the research results may lack generalizability due to the sample covering a single national context. Researchers are encouraged to test the proposed approach further on other countries' data by using the compiled lexicons.

The study aims to expand the domains of signaling theory and market valuation by providing new insights into the impact that companies' reporting on R&D, patents and innovation activities has on market capitalization. New nonfinancial factors that previous research does not investigate – innovation disclosure indicators (IDI) – are tested.

This study aims to exploit Tobin’s Q model of investment to examine the relationship between corporate governance and green innovation.

The study is based on a sample of 3,896 firms from 2002 to 2021, covering 45 countries worldwide. The authors adopt Tobin’s Q model to conceptualize the relationship between corporate governance and investment in green research and development (R&D). The authors argue that agency costs and financial market frictions affect corporate investment and are fundamental factors in R&D activities. By limiting agency conflicts, effective governance favors efficiency, facilitates access to external financing and encourages green innovation. The authors analyzed the causal effect by using the system-generalized method of moments (system-GMM).

The results reveal that the better the corporate governance, the more the firm invests in green R&D. A 1%-point increase in the corporate governance ratings leads to an increase in green R&D expenses to the total asset ratio of about 0.77 percentage points. In addition, an increase in the score of each dimension (strategy, management and shareholder) of corporate governance results in an increase in the probability of green product innovation. Finally, green innovation is positively related to firm environmental performance, including emission reduction and resource use efficiency.

The findings provide implications to support managers and policymakers on how to improve sustainability through corporate governance. Governance mechanisms will help resolve agency problems and, in turn, encourage green innovation.

Understanding the impact of corporate governance on green innovation may help firms combat climate change, a crucial societal concern. The present study helps achieve one of the precious UN’s sustainable development goals: Goal 13 on climate action.

This study goes beyond previous research by adopting Tobin’s Q model to examine the relationship between corporate governance and green R&D investment. Overall, the results suggest that effective corporate governance is necessary for environmental efficiency.