Abstract

In this study, we use manufacturing firms listed on the Chinese stock exchange to demonstrate the effects of gender on research and development investment. The results show that male leaders have a stronger incentive to take risks, whereas female leaders are more risk-averse. However, female leaders are better recognized by the market for their monitoring roles. The results show that male chairpersons and female general managers are an effective combination. Additionally, the shares held by the chairperson and general manager reduce Research and Development Investment (R&D) over investment when both positions are held by males. However, since female managers are prudential and efficient in research decision-making, the shares held by chairpersons and general managers increase female managers’ research investment, indicating that they are confident in their research decisions. We contribute to the current literature by separating the roles of the chairperson and general manager functions in business operations within a gender-effect analytical framework. The results may provide both theoretical and practical value for management.

1. Introduction

Recent business management development has emphasized sustainable development, and many different countries have sought green innovation to protect the environment while maintaining economic growth (Mio et al., 2020). Product and service innovation and technology improvements are the determining factors in such green development (Adomako and Tran, 2024). A product could meet consumer requirements while maintaining an eco-friendly production process, and its usage would increase the producer firm’s market share and profitability. However, firms need to invest in research and development to develop their products. Such research and development activities are associated with greater uncertainty and negatively affect a firm’s current performance (Pandit et al., 2011). A firm’s strategic decision-makers may need to balance future possibilities and current shareholders’ satisfaction when making research and development decisions. Some countries provide subsidies to firms seeking greater investment in green innovations to promote higher environmental, social and governance standards to benefit local development (Bronzini and Piselli, 2016).

Females have started to play more important roles in business activities in many economies. Recent studies have shown that female characteristics help shareholders play a monitoring role and that when business leaders are female, they tend to consider other stakeholders’ feelings and take greater social responsibility (Smulowitz and Smulowitz, 2024; Wang et al., 2022). Female business leaders are usually risk averse, avoid taking excessive risks in business activities, and are associated with lower leverage in the firm’s capital structures (Elsaid and Ursel, 2011). Since female leaders are more cautious, they can reduce information asymmetry. Their communication skills are greater than those of their male colleagues, which allows them to communicate better with internal and external stakeholders and receive a higher level of trust.

Managers and shareholders could face potential agency problems, which indicates that managers are more self-interested and put their personal interest ahead of shareholders. There may also be conflicts between the board and the managers. The board plays a monitoring role and permits the overall strategies designed by the general manager, allowing each to maintain different focuses and understandings. Females are believed to be qualified board members because their risk-averse nature allows them to better monitor the firm’s operations and make timely reports to overall investors (Zalata et al., 2019). Their communication skills can also help internally alleviate firms’ internal conflicts to increase their operating efficiency (Yuan et al., 2024).

In this study, we choose the Chinese market as our focus. We have made this choice for the following reasons. The Chinese market represents a large economy and has many exchange listed manufacturing firms, many of which make research and development investments every year. Additionally, firms are encouraged to appoint female executives to reduce potential conflicts of interest between managers and shareholders. Female executives can also reduce gender inequality and promote the importance of women in social activities (Wu et al., 2019). The Chinese government emphasizes green innovations and encourages firms to make technological updates to protect the environment. They instituted their green policy in 2011 and made significant amendments in 2015 to lower capital costs for green certified firms (Yu et al., 2021; Zhang et al., 2019).

Chief Executive Officer (CEO) and chairperson dynamics refer to the relationship and interaction between the two when a firm is making operations decisions (Morais et al., 2018). The chairperson plays a more important role in the Chinese market. In other markets, the general manager makes operations decisions; however, in the Chinese market, chairperson intervention is common (Wang et al., 2021). Therefore, the gender combination of the chairperson and general manager directly affects the quality of firm management. Females are known to be risk averse; male managers are more aggressive and forward looking, indicating that females may make fewer research investments but that males may over invest. Although same-gender pairings of the chairperson and general manager may lead to either too aggressive or too risk averse investment behavior, it remains unclear whether different gender combinations of the chairperson and general manager are complementary. For example, can a female manager and male chairperson combination result in a high level of risk management while prudently taking sufficient risks? If female managers are better decision-makers, can they improve research efficiency? Additionally, will different gender combinations of the chairperson and general manager, which moderates risk taking behavior, benefit the future development of the firm and allow it to become more competitive?

This research focuses on the role-based effects of gender combinations between the chairperson and the general manager, emphasizing the involvement of females due to their potential for more efficient research and development decision-making, monitoring, and organizing the firm, thereby reducing conflicts of interest and ensuring high management quality. Our study contributes to current literature in the following ways. First, studies with a detailed analysis of female executives’ role as a general manager or as a board member are lacking; rather, the current studies have emphasized the effects of female participation in business. Second, most of the current literature has used only survey data or qualitative analyses, whereas we provide more detailed empirical results using market data to show why females provide a better fit in monitoring positions than they do as strategic decision-makers. A recent study revealed that female leaders who are risk averse and avoid competition receive lower pay (Guo et al., 2025), but that these lower rewards have negative consequences for innovation. Our study provides potential value for management development theory and practical decision-making.

2. Theoretical Background and Hypotheses Development

Management is the art of organizing production in an efficient way and generating returns for investors (Lin and Orvis, 2016). From the famous separation of ownership and control, professional managers make firm operation decisions and strategic long-term plans (Hindley, 1970). Managers work for shareholders and aim to maximize shareholders’ interests. The chairperson, as the head of the board, monitors the overall operation status without directly intervening in decision-making (McNulty et al., 2011) but oversees the behaviors of the managers and protects the shareholders’ interest to reduce any potential conflicts of interest between the managers and shareholders (Withers and Fitza, 2017; Morais et al., 2018). Managers have a strong incentive to increase future revenue, but the board and the chairperson have a strong incentive to focus on risk management on the basis of economic conditions (Ferrero-Ferrero et al., 2012). The board size and the expertise of the chairperson and other board members could affect the level of monitoring (Huang and Wang, 2015). When the chairperson and the general manager collaborate effectively, the performance of the firm is better (Krause, 2017). Conflict of interest occurs if they both prioritize their primary goals without compromising, which negatively affects the firm’s performance (Pukthuanthong et al., 2018). Personal characteristics, including the age, personal wealth, and gender of the chairperson and the general manager, could play an important role in whether they insist on their own authority or if they make concessions but consider both future profitability and risks in a more balanced way (Yang et al., 2023). Furthermore, factors related to firm operations could affect the chairperson and general manager’s research and development investment. In business cycle theory, the size of the firm and the life stage of the firm influence innovation willingness. Start-up firms usually have lower accumulated book value, but more mature firms accumulate larger assets. Current operational efficiency and future expectations, profitability variation and growth, and debt pressure are reflected by asset turnover, which affect innovative investment incentives (Bogliacino and Pianta, 2013; Coad and Rao, 2010; David et al., 2008). Moreover, from the agency theory perspective and considering the features of the Chinese market, well-organized management and boards could provide better monitoring and more efficient management (Zhang et al., 2016), as well as reduce agency costs and benefit shareholders (Lei et al., 2023). Additionally, the characteristics of the management team are reflected in operations and strategic decision-making through upper echelon theory (Hiebl, 2014). More prudential leaders with experience and ethics awareness could significantly increase business sustainability (Shahab et al., 2020).

2.1 Female Business Participation and Monitoring Ability

There are a growing number of females who participate in business activities, and female entrepreneurship has significantly increased and has shown a characteristic advantage in business success (Moudrý and Thaichon, 2020). Females have the traditional gender advantage of being more careful and skilled at communicating and delivering information on time (Bravo and Alcaide-Ruiz, 2019; Pucheta-Martínez et al., 2016). Most female leaders are risk averse and avoid taking excessive risks (Faccio et al., 2016; Palvia et al., 2015; Hoang et al., 2019). Most of the time, risk is a negative factor in management and corporate finance, particularly if the risk is inappropriate for a firm’s development and strategies. However, risk is associated with return and growth. Without taking risks, returns are lower and the business becomes unsustainable if profits are too low. It is more important to estimate and manage a firm’s current risk in an overall and managerial sense rather than treating it individually or completely avoiding it (Nocco and Stulz, 2022). Without appropriate management, risk accumulates and becomes an even larger problem. Risk should be measured by accrual collection, earnings volatility, market competition and other potential events that could affect a firm’s stakeholders and interests (Bhuiyan et al., 2021; Settembre-Blundo et al., 2021). Many investors believe that female managers represent a good solution for alleviating these problems. Female managers tend to make more transparent disclosures, which reduces potential information asymmetry and increases the trust of investors (Abad et al., 2017; Post et al., 2019). Female managers could offer more than a purely monitoring role. Most firms with a female director leading the board place greater emphasis on stakeholder relationships. A female leader’s ability to communicate better helps to organize internal and external relationships and increases the firm’s efficiency as an organization (Hanousek et al., 2019). Additionally, female leaders care more about the environment and place greater emphasis on environmental protection and business sustainability (Birindelli et al., 2019; Glass et al., 2016). They tend to follow business ethics codes and better follow regulations and industrial policies. Female business leaders can promote changes in social roles and greater social inclusion, and in many developing countries, they can motivate more women to engage in more social activities rather than only focusing on family to increase gender equality.

2.2 Importance of Research and Development in Business and Innovation

To increase their competitiveness, manufacturing firms must have unique products that are well recognized by consumers and that are difficult for competitors to copy. The firm needs to invest in research and development to design and produce such products. Research and development investments are believed to be high risk since the outcome is highly uncertain (Blazenko and Yeung, 2015; Gu, 2016), but research and development could increase future profitability and motivate competition, which could significantly benefit technological improvements (Davcik and Sharma, 2015). Business leaders may need to balance between current profitability and investment in future opportunities. Excessive research and development could negatively impact current earnings and shareholder wealth, but too little research and development would cause the firm to lose future competition, and the possible negative future impact could also be reflected in the current share price and result in disappointing shareholders. Research and development require a stable social and political environment (Alam et al., 2019; Bhattacharya et al., 2017). Additionally, the firm needs to know the shortcomings of the current products and the functions and features of the products to meet the demand of the market and consumers (Yenipazarli, 2019). Innovation also needs to be balanced with product features and the consideration of environmental protection. Most industries are now seeking green innovation; for example, banking and financial services have developed online service platforms on which they distribute statements. These online services are paperless and provide a higher security level than sending actual mail to account beneficiaries does. The automobile industry promotes hybrid and electrical cars to provide a greater gas economy and more environmentally friendly products. Additionally, even with traditional cars, all makers have attempted to redesign engines to achieve higher gas efficiency. These innovations meet consumers’ requirements and use technologies to benefit the earth, receive consumers’ respect and trust and improve business sustainability both in terms of recognition and the environment (Li et al., 2019). Female leaders are more risk averse, which could reduce their risk-taking incentives, but such lower discovery incentives could increase the future failure rate (Rey-Martí et al., 2015). Risk-averse characteristics can negatively affect female leaders, limiting their capacity as innovators (Sundermeier, 2024), but the monitoring effect of female leaders is well known, and cooperation between female and male leaders can foster business innovation while maintaining appropriate risk-taking.

On the basis of the above logic, we propose the following hypotheses.

H1a. A firm led by a male chairperson and male general manager would have a higher incentive to invest in research and development.

H1b. The involvement of a female as the chairperson or general manager reduces research and development investment.

Since the chairperson and manager may communicate before they make decisions, their wealth in the firm could affect decision-making. If the chairperson and general manager are not confident about the decision, their wealth in the firm could reduce their risk-taking. However, if they are confident about their judgment and believe that the decision is prudential, the wealth effect could encourage risk-taking.

H2a. The firm shares held by the chairperson and general manager could reduce risk-taking incentives when both the chairperson and general manager are males.

H2b. The firm shares held by the chairperson and general manager could increase risk-taking incentives when the general manager is female and the chairperson is male.

Finally, to be confident, female participation should improve research quality and outperform nonfemale participation by increasing the level of research success.

H3. Female participation increases the number of patents, resulting in higher risk management and research quality.

2.3 Pay Performance and Firm Shares Holding Reduce the Agency Effect

Agency costs and conflicts of interest are potential factors affecting a firm’s management and performance stability. At present, the common management instrument used to align the interests of general managers is pay performance contracts, which connect a firm’s performance to the manager’s income (Gao and Li, 2015). However, such pay performance sensitivity motivates managers to manage earnings, and it negatively contributes to earnings qualities, particularly in emerging markets where investor protection is weak (Almadi and Lazic, 2016). There is evidence that a female chairperson or manager could alleviate manipulation in instances of pay-performance general manager contracts (Usman et al., 2019). Another solution would be to reward general managers with shares of the business. When managers and shareholders hold a significant proportion of their personal wealth in the firm’s shares, their interests are highly aligned with the firm’s value, and any significant change in share prices affects their personal wealth, leading both parties to be more concerned with shareholder interest, particularly under systemic risk (Haider and Fang, 2018). Notably, since female leaders are risk averse, they may be less willing to hold firm equity and instead require higher cash wages (Carter et al., 2017); such characteristics could increase the level of cautiousness when they make decisions in uncertain environments.

H4a. Higher shares held by the chairperson and general manager reduce risk-taking under systemic risk if they are less confident about the decision.

H4b. Higher shares held by the chairperson and general manager increase risk-taking even under system shock if they are confident about the decision.

3. Data and Research Design
3.1 Data

This study involves manufacturing firms listed on Chinese stock exchanges. The sample period is from 2013 to 2023. Detailed information about the chairperson and the general manager is collected from the China Stock Market and Accounting Research Database (CSMAR). Financial information at the firm level is collected from the choice database and merged with the chairperson and general manager information. The final imbalanced panel data include 20,352 firm-year observations. The variable definitions are listed in Table 1. The variable treatment column shows the estimation method or dummy variable definition. The general statistics are presented in Table 2. Table 2 shows that the number of female business leaders is much smaller than the number of male chairpersons and male general managers; hence, there is a great need to promote the participation of female business leaders in business activities and their contribution to social improvement.

Table 1. Variable definitions.
Variable Symbol Variable treatment
Research and development investment scaled by firm revenue RD Total yearly expenditure on research and development investment divided by revenue
Male chairperson and male general manager CHMGMM Dummy variable, equal to 1 if both the chairperson and the general manager are males
Male chairperson and female general manager CHMGMF Dummy variable, equal to 1 if the chairperson is male and the general manager is female
Female chairperson and male general manager CHFGMM Dummy variable, equal to 1 if the chairperson is female and the general manager is male
Female chairperson and female general manager CHFGMF Dummy variable, equal to 1 if both the chairperson and the general manager are females
Female executive Female Dummy variable, if at least one of the chairperson or the general manager is female
Female executive percentage FemalePer Number of females of the total number of managers and board members, calculated using the firm’s disclosed information on the CSMAR
The chairperson and the general manager are the same person Duality Dummy variable, equal to 1 if both the chairperson and the general manager are the same person
Number of patents received in the year Patents Number of patent applications in the year; if in some years the firm does not disclose the number of applications but the patent confirmation is received, the number of patent confirmations received is used
Liability ratio Liab Liabilities/total assets
Current ratio Current Current assets/current liabilities
Total assets Size Total assets
Book value per share BPS Equity/total number of shares
Current asset turnover Caturn Revenue/current assets
Chairperson stock holdings Chvalue Value of firm shares held by the chairperson
General manager stock holdings Gmvalue Value of firm shares held by the general manager
Indicating the post COVID years Post Dummy variable, equal to 1 if the observation year is between 2019–2022
Institutional investors Inst Institutional investors holding a percentage
Actual returns minus expected returns Alpha Regress the actual returns on market returns, then estimate the expected returns and use the actual returns minus the expected returns
Share return volatility Volatility Return volatility in each year

CSMAR, China Stock Market and Accounting Research Database.

Table 2. General statistics.
Statistic N Mean St. Dev. Min Max
RD 20,349 4.138 4.163 0.000 169.429
CHMGMM 20,352 0.899 0.302 0 1
CHMGMF 20,352 0.046 0.209 0 1
CHFGMM 20,352 0.036 0.185 0 1
CHFGMF 20,352 0.020 0.140 0 1
Female 20,352 0.101 0.302 0 1
FemalePer 20,352 19.380 11.378 0.000 73.333
Patents 5075 171.250 743.796 1 16,934
Duality 20,352 0.271 0.444 0 1
Liab 20,352 42.719 31.143 0.797 1879.036
Current 20,352 2.370 2.921 0.074 104.667
Size 20,352 12.485 35.190 0.026 1006.650
BPS 20,352 5.173 3.900 –10.954 54.552
Caturn 20,352 1.337 0.949 0.000 12.951
Chvalue 20,352 0.771 3.026 0.000 137.713
Gmvalue 20,352 0.496 2.707 0.000 137.713
Post 20,352 0.420 0.494 0 1
Inst 20,352 37.046 23.692 0.000 186.969
Alpha 20,352 0.557 3.844 –281.975 107.855
Volatility 20,352 6.705 5.666 0.000 296.889

N, Number of Observations; St. Dev., Standard Deviation.

3.2 Methodologies

The first set of tests focuses on the effects of gender on research and development investments. Eqn. 1 reflects such baseline models. The term “Comb” indicates the four different gender combinations of the chairperson and general manager. The key objective is to observe the coefficient of the male chairperson and male general manager. A positive coefficient indicates that when both the chairperson and the general manager are male, they are more motivated to make research and development investments, indicating greater risk-taking for future exploration. Additionally, if the coefficient in the case of a female chairperson and female general manager is negative, it indicates that females are risk averse.

(1) RD i , t = β 0 + β 1 𝐶𝑜𝑚𝑏 i , t + β 2 𝐿𝑖𝑎𝑏 i , t + β 3 𝑆𝑖𝑧𝑒 i , t + β 4 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 5 𝐵𝑃𝑆 i , t + β 6 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

Furthermore, in Eqns. 2,3, the combined the chairperson and general manager gender scenario is interacted with the value of the chairperson’s shareholding and the value of the general manager’s shareholding to determine whether the value of their wealth in the firm enhances or weakens the original gender effect observed in the baseline model.

(2) RD i , t = β 0 + β 1 𝐶𝑜𝑚𝑏 i , t + β 2 𝐶ℎ𝑣𝑎𝑙𝑢𝑒 i , t + β 3 𝐿𝑖𝑎𝑏 i , t + β 4 𝑆𝑖𝑧𝑒 i , t + β 5 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 6 𝐵𝑃𝑆 i , t + β 7 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + β 8 [ 𝐶𝑜𝑚𝑏 i , t * 𝐶ℎ𝑣𝑎𝑙𝑢𝑒 i , t ] + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

(3) RD i , t = β 0 + β 1 𝐶𝑜𝑚𝑏 i , t + β 2 𝐺𝑚𝑣𝑎𝑙𝑢𝑒 i , t + β 3 𝐿𝑖𝑎𝑏 i , t + β 4 𝑆𝑖𝑧𝑒 i , t + β 5 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 6 𝐵𝑃𝑆 i , t + β 7 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + β 8 [ 𝐶𝑜𝑚𝑏 i , t * 𝐺𝑚𝑣𝑎𝑙𝑢𝑒 i , t ] + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

Since scientific research investment and research success can differ, some blind investments may not be efficient. If females are more risk averse, their prudential decision-making may improve research efficiency and increase the number of patents obtained by the firm, resulting in successful research results. Eqn. 4 tests such a relationship. Here, the interest variable “Gender” indicates the two same-gender combinations: both males or both females. It also includes the percentage of females on the management team and board to reflect the female prudential effect on the corporate decision-making process.

(4) 𝑃𝑎𝑡𝑒𝑛𝑡𝑠 i , t = β 0 + β 1 𝐺𝑒𝑛𝑑𝑒𝑟 i , t + β 2 𝐿𝑖𝑎𝑏 i , t + β 3 𝑆𝑖𝑧𝑒 i , t + β 4 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 5 𝐵𝑃𝑆 i , t + β 6 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

The third set of tests, as shown by Eqns. 5,6, demonstrate whether females are better recognized as playing monitoring roles in the business. Eqn. 5 is a logit regression; it is expected that the term “Female” will have a negative coefficient, so female involvement would lower the likelihood of duality. In Eqn. 6, the interaction term is expected to have a positive coefficient, indicating that even if duality occurs, a female chairperson who is also the general manager would alleviate the negative impact of duality and attract institutional investors.

(5) 𝐷𝑢𝑎𝑙𝑖𝑡𝑦 i , t = β 0 + β 1 𝐹𝑒𝑚𝑎𝑙𝑒 i , t + β 2 𝐿𝑖𝑎𝑏 i , t + β 3 𝑆𝑖𝑧𝑒 i , t + β 4 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 5 𝐵𝑃𝑆 i , t + β 6 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

(6) 𝐼𝑛𝑠𝑡 i , t = β 0 + β 1 𝐹𝑒𝑚𝑎𝑙𝑒 i , t + β 2 𝐷𝑢𝑎𝑙𝑖𝑡𝑦 i , t + β 3 𝐿𝑖𝑎𝑏 i , t + β 4 𝑆𝑖𝑧𝑒 i , t + β 5 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 6 𝐵𝑃𝑆 i , t + β 7 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + β 8 [ 𝐹𝑒𝑚𝑎𝑙𝑒 i , t * 𝐷𝑢𝑎𝑙𝑖𝑡𝑦 i , t ] + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

Furthermore, we test the effect of female involvement as the chairperson on the alpha of stock returns in a volatile market. Eqn. 7 reflects such a relationship. The interaction term is expected to have a positive coefficient when the chairperson is female, indicating that a female chairperson is recognized by the market as playing a better monitoring role in highly volatile markets, which enhances share price performance.

(7) 𝐴𝑙𝑝ℎ𝑎 i , t = β 0 + β 1 𝐶𝑜𝑚𝑏 i , t + β 2 𝑉𝑜𝑙𝑎𝑡𝑖𝑙𝑖𝑡𝑦 i , t + β 3 𝐿𝑖𝑎𝑏 i , t + β 4 𝑆𝑖𝑧𝑒 i , t + β 5 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 6 𝐵𝑃𝑆 i , t + β 7 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + β 8 [ 𝐶𝑜𝑚𝑏 i , t * 𝑉𝑜𝑙𝑎𝑡𝑖𝑙𝑖𝑡𝑦 i , t ] + 𝐼𝑁𝐷 + 𝑌𝑒𝑎𝑟 + ε i , t

The last set of tests is used to test the fourth hypothesis by examining the effects of gender and its interaction with shareholdings during a systemic crisis. The key observation is whether shareholding reduces risky research and development investments during a systemic crisis. Eqns. 8,9 use the difference-in-differences method to test these relationships. The interesting variable is the triple interaction term, and a higher shareholding value is expected to reduce aggressive investment in research and development when both the market and economics are uncertain, particularly when both the chairperson and general manager positions are held by males.

(8) RD i , t = β 0 + β 1 𝐶𝑜𝑚𝑏 i , t + β 2 𝑃𝑜𝑠𝑡 i , t + β 3 𝐶ℎ𝑣𝑎𝑙𝑢𝑒 i , t + β 4 𝐿𝑖𝑎𝑏 i , t + β 5 𝑆𝑖𝑧𝑒 i , t + β 6 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 7 𝐵𝑃𝑆 i , t + β 8 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + β 9 [ 𝐶𝑜𝑚𝑏 i , t * 𝑃𝑜𝑠𝑡 i , t ] + β 10 [ 𝐶𝑜𝑚𝑏 i , t * 𝑃𝑜𝑠𝑡 i , t * 𝐶ℎ𝑣𝑎𝑙𝑢𝑒 i , t ] + ε i , t

(9) RD i , t = β 0 + β 1 𝐶𝑜𝑚𝑏 i , t + β 2 𝑃𝑜𝑠𝑡 i , t + β 3 𝐺𝑚𝑣𝑎𝑙𝑢𝑒 i , t + β 4 𝐿𝑖𝑎𝑏 i , t + β 5 𝑆𝑖𝑧𝑒 i , t + β 6 𝐶𝑢𝑟𝑟𝑒𝑛𝑡 i , t + β 7 𝐵𝑃𝑆 i , t + β 8 𝐶𝑎𝑡𝑢𝑟𝑛 i , t + β 9 [ 𝐶𝑜𝑚𝑏 i , t * 𝑃𝑜𝑠𝑡 i , t ] + β 10 [ 𝐶𝑜𝑚𝑏 i , t * 𝑃𝑜𝑠𝑡 i , t * 𝐺𝑚𝑣𝑎𝑙𝑢𝑒 i , t ] + ε i , t

For robustness and to alleviate the endogeneity problem, the propensity score matching (PSM) method is then used to treat each gender combination as a treatment group, and the size of the firm, the top ten ownership and the return on assets (ROA) are used as the matching criteria to retest the baseline model. Furthermore, we remeasure the gender effect by considering a female chairperson and a female general manager as two separate cases to compare the results of the impact on research and development investments with those of the baseline model. We also use the instrumental variable approach to demonstrate that females are more risk averse; however, a female general manager and male chairperson increase risk taking when the general manager or chairperson hold large amounts of shares, indicating confidence in their research investment decisions.

4. Results
4.1 Results

Table 3 shows the results of the baseline model. Our results show that when the chairperson or the general manager is female, the female’s risk aversion may negatively affect research and development investments. When only males hold the chairperson and general manager positions, they are more motivated to take risks. When both the chairperson and the general manager are female, the risk-taking incentive is significantly lower, demonstrating greater prudence. When the two positions are held by individuals of different genders, the research and development incentive remains moderate and is not significantly positive or negative.

Table 3. Gender effects on R&D.
Dependent variable
RD
(1) (2) (3) (4)
CHMGMM 0.160*
(0.085)
CHFGMF –0.670***
(0.183)
CHMGMF 0.006
(0.123)
CHFGMM –0.047
(0.138)
Liab –0.015*** –0.015*** –0.015*** –0.015***
(0.001) (0.001) (0.001) (0.001)
Size –0.002** –0.002** –0.002** –0.002**
(0.001) (0.001) (0.001) (0.001)
Current 0.019* 0.020* 0.019* 0.019*
(0.010) (0.010) (0.010) (0.010)
BPS 0.019*** 0.019*** 0.019*** 0.019***
(0.007) (0.007) (0.007) (0.007)
Caturn –0.767*** –0.768*** –0.766*** –0.766***
(0.031) (0.031) (0.031) (0.031)
Constant 4.698*** 4.862*** 4.838*** 4.840***
(0.177) (0.160) (0.160) (0.160)
IND Y Y Y Y
YEAR Y Y Y Y
Observations 20,349 20,349 20,349 20,349
R2 0.241 0.242 0.241 0.241
Adjusted R2 0.239 0.240 0.239 0.239
Residual Std. Error (df = 20,303) 3.631 3.630 3.631 3.631
F Statistic (df = 45; 20,303) 143.384*** 143.673*** 143.281*** 143.285***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively. R&D, Research and Development Investment; IND, Industry Control; Y, Yes.

If the chairperson and manager have significant wealth in the firm, the outcomes show notable changes. In Table 4, the interaction terms between the gender combination and the chairperson’s wealth are displayed. A major shift occurs when the chairperson is male but the general manager is female. The coefficient becomes positive when it is interacted with the chairperson’s stock-holdings, indicating that this combination could encourage research and development. Even in the previous case showing that females are unwilling to expand research and development and take risks, female managers are complementary when they work with a male chairperson, thereby leading to the promotion of research investments. These results indicate that when the general manager is female, the male chairperson and female general manager are both confident in their decision-making. However, the previous positive all male combination has a significant negative coefficient when it is interacted with the chairperson’s shareholding, indicating lower risk-taking incentive and greater hesitation when the chairperson has significant wealth in the firm. The results in Table 5 show that when the general manager holds larger shares of the firm, the combination of a male chairperson and a female general manager is still strategically complementary. More aggressive investment and risk-averse strategies only appear in the same-gender combinations. The combination of two males results in less enthusiasm for risk-taking, and the combination of a male chairperson with a female general manager results in a greater level of research investment.

Table 4. Interaction with chairperson’s shareholding.
Dependent variable
RD
(1) (2) (3) (4)
CHMGMM 0.361***
(0.090)
CHFGMF –0.666***
(0.194)
CHMGMF –0.399***
(0.131)
CHFGMM –0.084
(0.148)
Chvalue 0.301*** 0.075*** 0.061*** 0.075***
(0.034) (0.009) (0.009) (0.009)
Liab –0.015*** –0.015*** –0.014*** –0.014***
(0.001) (0.001) (0.001) (0.001)
Size –0.002*** –0.002*** –0.002*** –0.002***
(0.001) (0.001) (0.001) (0.001)
Current 0.019* 0.019* 0.019* 0.019*
(0.010) (0.010) (0.010) (0.010)
BPS 0.007 0.008 0.008 0.008
(0.007) (0.007) (0.007) (0.007)
Caturn –0.769*** –0.770*** –0.769*** –0.767***
(0.031) (0.031) (0.031) (0.031)
CHMGMM:Chvalue –0.240***
(0.035)
CHFGMF:Chvalue –0.011
(0.066)
CHMGMF:Chvalue 0.367***
(0.044)
CHFGMM:Chvalue 0.133
(0.125)
Constant 4.545*** 4.887*** 4.868*** 4.866***
(0.178) (0.160) (0.160) (0.160)
IND Y Y Y Y
YEAR Y Y Y Y
Observations 20,349 20,349 20,349 20,349
R2 0.246 0.244 0.246 0.244
Adjusted R2 0.244 0.243 0.245 0.242
Residual Std. Error (df = 20,301) 3.620 3.623 3.618 3.625
F Statistic (df = 47; 20,301) 140.669*** 139.652*** 141.225*** 139.299***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Table 5. Interaction with general manager’s shareholdings.
Dependent variable
RD
(1) (2) (3) (4)
CHMGMM 0.158*
(0.088)
CHFGMF –0.680***
(0.193)
CHMGMF –0.093
(0.130)
CHFGMM –0.040
(0.145)
Gmvalue 0.072 0.057*** 0.054*** 0.056***
(0.057) (0.010) (0.010) (0.010)
Liab –0.015*** –0.015*** –0.014*** –0.015***
(0.001) (0.001) (0.001) (0.001)
Size –0.002*** –0.002*** –0.002*** –0.002***
(0.001) (0.001) (0.001) (0.001)
Current 0.019* 0.019* 0.019* 0.019*
(0.010) (0.010) (0.010) (0.010)
BPS 0.013* 0.013* 0.013* 0.013*
(0.007) (0.007) (0.007) (0.007)
Caturn –0.766*** –0.768*** –0.766*** –0.765***
(0.031) (0.031) (0.031) (0.031)
CHMGMM:Gmvalue –0.017
(0.058)
CHFGMF:Gmvalue –0.009
(0.066)
CHMGMF:Gmvalue 0.408***
(0.153)
CHFGMM:Gmvalue 0.046
(0.246)
Constant 4.708*** 4.870*** 4.842*** 4.848***
(0.178) (0.160) (0.160) (0.160)
IND Y Y Y Y
YEAR Y Y Y Y
Observations 20,349 20,349 20,349 20,349
R2 0.242 0.243 0.243 0.242
Adjusted R2 0.241 0.241 0.241 0.241
Residual Std. Error (df = 20,301) 3.628 3.627 3.628 3.628
F Statistic (df = 47; 20,301) 138.196*** 138.501*** 138.305*** 138.106***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Indeed, higher research investment interest may not indicate successful research outcomes to provide sufficient support in the manufacturing industry, as previously noted. Female participation in management provides prudential risk management and increases efficiency. The results are shown in Table 6 below. Column (1) shows that when both positions are held by males, the contribution to patents is significantly negative. Compared with other gender combinations, males display greater risk taking; however, such investments are also blind. In Column (2), when both positions are held by females, the contribution is significantly positive. Such high efficiency reflects female’s risk awareness and prudential decision-making. Column (3) uses the percentage of females on the management team and board and the coefficient remains positive and significant, confirming that females increase the research investment efficiency.

Table 6. Female prudential decision-making.
Dependent variable
Patents
(1) (2) (3)
CHMGMM –88.074***
(30.200)
CHFGMF 388.801***
(62.265)
FemalePer 1.670**
(0.837)
Liab –0.181 –0.191 –0.145
(0.597) (0.595) (0.600)
Size 9.251*** 9.224*** 9.277***
(0.218) (0.217) (0.218)
Current –1.285 –1.292 –1.501
(4.439) (4.426) (4.444)
BPS 3.083 2.864 2.950
(2.552) (2.543) (2.553)
Caturn 11.291 12.280 11.410
(11.249) (11.217) (11.258)
Constant 327.431*** 231.725*** 216.891***
(63.315) (57.441) (59.957)
IND Y Y Y
YEAR Y Y Y
Observations 5075 5075 5075
R2 0.323 0.327 0.322
Adjusted R2 0.317 0.321 0.316
Residual Std. Error (df = 5030) 614.808 612.956 615.084
F Statistic (df = 44; 5030) 54.464*** 55.485*** 54.313***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Tables 7,8 show that risk-averse females are suitable chairpersons and play a monitoring role in the firm. The data in Table 8 show that the likelihood of duality is much lower when the chairperson and general manager are both female than when they are both male. Furthermore, even in cases of female duality, firms still attract high levels of institutional ownership. Table 9 uses market (HS300) returns to estimate the expected returns and then calculates the alpha using the actual returns minus the expected returns. The results show that a female chairperson results in an increased alpha when the volatility of the firm’s returns is high, indicating that the monitoring role of females improves the performance of the firm.

Table 7. Female duality.
Dependent variable
Duality Inst
Logistic OLS
(1) (2)
Female –0.852*** –5.277***
(0.064) (0.569)
Duality –8.165***
(0.368)
Liab –0.008*** 0.031***
(0.001) (0.005)
Size –0.003*** 0.127***
(0.001) (0.005)
Current 0.025*** –0.481***
(0.007) (0.058)
BPS 0.036*** 0.356***
(0.004) (0.043)
Caturn –0.099*** 1.556***
(0.022) (0.189)
Female:Duality 8.546***
(1.380)
Constant –0.640*** 34.321***
(0.107) (0.902)
Ind Y Y
Year Y Y
Observations 20,352 20,352
R2 0.139
Adjusted R2 0.137
Residual Std. Error 22.007 (df = 20,304)
F Statistic 69.827*** (df = 47; 20,304)

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively. OLS, Ordinary Least Square.

Table 8. Female monitoring role.
Dependent variable
Alpha
(1) (2) (3) (4)
CHMGMM 1.167***
(0.147)
CHFGMF –1.944***
(0.331)
CHMGMF 0.730***
(0.218)
CHFGMM –2.729***
(0.233)
Volatility 0.333*** 0.162*** 0.169*** 0.155***
(0.017) (0.005) (0.005) (0.005)
Liab –0.003*** –0.003*** –0.003*** –0.003***
(0.001) (0.001) (0.001) (0.001)
Size –0.001* –0.001* –0.001* –0.001*
(0.001) (0.001) (0.001) (0.001)
Current 0.050*** 0.050*** 0.052*** 0.050***
(0.010) (0.010) (0.010) (0.010)
BPS 0.040*** 0.041*** 0.041*** 0.040***
(0.007) (0.007) (0.007) (0.007)
Caturn 0.085*** 0.085*** 0.090*** 0.093***
(0.032) (0.032) (0.032) (0.032)
CHMGMM:Volatility –0.180***
(0.018)
CHFGMF:Volatility 0.303***
(0.040)
CHMGMF:Volatility –0.105***
(0.027)
CHFGMM:Volatility 0.404***
(0.028)
Constant –1.625*** –0.519*** –0.578*** –0.475***
(0.203) (0.152) (0.152) (0.151)
IND CONTROL Y Y Y Y
YEAR CONTROL Y Y Y Y
Observations 20,352 20,352 20,352 20,352
R2 0.087 0.085 0.083 0.092
Adjusted R2 0.085 0.083 0.081 0.090
Residual Std. Error (df = 20,304) 3.678 3.682 3.686 3.668
F Statistic (df = 47; 20,304) 41.044*** 39.992*** 39.031*** 43.630***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Table 9. DDD Post-COVID-19 with chairperson’s shareholdings.
Dependent variable
RD
(1) (2) (3) (4)
CHMGMM 0.054
(0.126)
CHFGMF –0.456
(0.282)
CHMGMF 0.034
(0.181)
CHFGMM 0.062
(0.205)
Post 0.594*** 0.588*** 0.571*** 0.586***
(0.175) (0.057) (0.058) (0.058)
Chvalue 0.174*** 0.089*** 0.075*** 0.087***
(0.016) (0.010) (0.010) (0.009)
Liab –0.012*** –0.013*** –0.013*** –0.013***
(0.002) (0.002) (0.002) (0.002)
Size –0.001 –0.001 –0.001 –0.001
(0.001) (0.001) (0.001) (0.001)
Current 0.005 0.005 0.006 0.005
(0.011) (0.011) (0.011) (0.011)
BPS 0.030*** 0.032*** 0.032*** 0.031***
(0.008) (0.008) (0.008) (0.008)
Caturn –1.151*** –1.155*** –1.152*** –1.153***
(0.030) (0.030) (0.030) (0.030)
CHMGMM:Post 0.078
(0.186)
CHFGMF:Post –0.045
(0.410)
CHMGMF:Post –0.236
(0.276)
CHFGMM:Post –0.186
(0.313)
CHMGMM:Post:Chvalue –0.126***
(0.020)
CHFGMF:Post:Chvalue –0.093
(0.078)
CHMGMF:Post:Chvalue 0.406***
(0.055)
CHFGMM:Post:Chvalue 0.177
(0.176)
Constant 5.631*** 5.750*** 5.738*** 5.741***
(0.156) (0.109) (0.109) (0.109)
Observations 20,349 20,349 20,349 20,349
R2 0.094 0.092 0.094 0.092
Adjusted R2 0.093 0.092 0.094 0.091
Residual Std. Error (df = 20,338) 3.965 3.968 3.963 3.969
F Statistic (df = 10; 20,338) 209.860*** 206.299*** 211.641*** 205.455***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively. DDD, Difference-in-Difference-in-Difference.

The results show that the all male combination is strongly motivated by risk taking when exploring future changes and opportunities, but the all female combination is strongly risk averse and prefer to maintain their current state. Mixed-gender combinations demonstrate more interesting results. Female participation improves monitoring, whereas male participation leads to greater risk-taking incentives for research and development. The strategy should involve larger share vesting or its inclusion as part of the chairperson’s and general manager’s compensation since the wealth effect could alleviate the overinvestment when both positions are held by males and encourage risk-taking when the general manager is a female and the chairperson is a male. Considering the results in Tables 6,7,8 and based on the risk-averse characteristic of females, females’ decision-making leads to higher research and development success and efficiency, indicating that females have better research project-picking techniques, which explains why the wealth effect of the chairperson and general manager encourages firm risk taking, as shown in Tables 4,5, when the general manager is female and the chairperson is male.

We then check what happens during a systemic risk. In a similar manner as in the overall sample, the wealth of the chairperson and the general manager interact with the post-COVID-19 gender effect. Column (1) of Table 9 shows that the chairperson’s wealth significantly lowers the risk incentive when both the chairperson and the general manager are male. The original overall sample results in Table 3 show that the combination of a male chairperson and a male general manager has a significant positive coefficient, but a chairperson with greater wealth is more risk averse during the post-COVID-19 period. Column (1) of Table 10 shows that if the male general manager is aware of the impact of COVID-19 and is concerned about his own wealth in the firm, he will become risk averse and will also change the chairperson’s attitude toward risk. Such a change does not occur in the overall sample in Table 5.

Table 10. DDD Post-COVID-19 with general manager’s shareholdings.
Dependent variable
RD
(1) (2) (3) (4)
CHMGMM 25.474
(18.515)
CHFGMF –63.331
(41.337)
CHMGMF –17.620
(26.730)
CHFGMM –19.615
(30.140)
Post 27.578 40.667*** 39.734*** 43.061***
(25.698) (8.390) (8.536) (8.491)
Gmvalue 71.541*** 42.162*** 39.730*** 39.696***
(2.884) (1.555) (1.551) (1.550)
Liab –0.026 –0.024 –0.040 –0.045
(0.142) (0.142) (0.143) (0.143)
Size 22.815*** 22.916*** 22.873*** 22.869***
(0.122) (0.122) (0.123) (0.123)
Current 1.160 1.298 1.313 1.335
(1.521) (1.521) (1.527) (1.527)
BPS 3.650*** 4.563*** 4.100*** 4.049***
(1.113) (1.113) (1.117) (1.117)
Caturn 2.740 2.846 2.624 2.787
(4.422) (4.423) (4.442) (4.438)
CHMGMM:Post 36.640
(27.207)
CHFGMF:Post 159.713***
(60.106)
CHMGMF:Post 21.270
(40.586)
CHFGMM:Post –48.443
(45.634)
CHMGMM:Post:Gmvalue –43.961***
(3.363)
CHFGMF:Post:Gmvalue –141.617***
(11.426)
CHMGMF:Post:Gmvalue 15.881
(38.609)
CHFGMM:Post:Gmvalue –16.781
(64.456)
Constant –90.884*** –61.079*** –56.757*** –56.614***
(21.122) (13.076) (13.168) (13.139)
Observations 20,352 20,352 20,352 20,352
R2 0.672 0.672 0.669 0.669
Adjusted R2 0.672 0.672 0.669 0.669
Residual Std. Error (df = 20,341) 581.890 582.148 584.412 584.346
F Statistic (df = 10; 20,341) 4168.918*** 4163.418*** 4115.487*** 4116.870***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

According to the post-COVID-19 results, in addition to the scenario of a female chairperson or general manager, we may observe reduced risk when both the chairperson and the general manager are male. If shareholders believe that their current male general manager is an expert in the industry, one solution would be to encourage female participation as the general manager while increasing the share distribution as part of her compensation. Such a gender combination would increase research and development investment and its efficiency while controlling investments to a moderate level during crises. The other potential solution is to increase the firm’s shares as the proportion of the wealth of the chairperson and the general manager if both the chairperson and the general manager are males. When they have significant wealth as firm shares, the results show that they will reduce investment uncertainty.

4.2 Endogeneity and Robustness

Table 11 shows the propensity score matching (PSM) results. The chairperson and general manager are both male in the treatment group, and the size, total top ten ownership, and ROA are used as the matching factors; coarse exact matching (CEM) is used to assign different weights. The weighted data are used as the sample, and the results in Table 11 are similar to those of our baseline model. When females are the chairperson or general manager, research and development investment is reduced, which reflects females’ risk-averse nature. Note that the combination of different genders provides moderate research and development investment incentives compared with the same-gender combinations. When both positions are held by males, the investment incentive is the strongest, and when both positions are held by females, the investment incentive is the weakest. Furthermore, Table 12 shows similar PSM results when females are selected as the treatment group. The results confirm that female participation increases research outcomes and improves efficiency. When females hold at least one position (either the chairperson or general manager), research efficiency significantly outperforms the case of when both positions are held by males.

Table 11. Baseline PSM (CEM) results.
Dependent variable
RD
(1) (2) (3) (4)
CHMGMM 0.161*
(0.086)
CHFGMF –0.672***
(0.187)
CHMGMF 0.005
(0.124)
CHFGMM –0.027
(0.141)
Liab –0.015*** –0.015*** –0.015*** –0.015***
(0.001) (0.002) (0.002) (0.002)
Size –0.001 –0.001 –0.002 –0.002
(0.002) (0.002) (0.002) (0.002)
Current 0.019* 0.022** 0.019* 0.019*
(0.010) (0.010) (0.010) (0.010)
BPS 0.022*** 0.019** 0.023*** 0.023***
(0.008) (0.008) (0.008) (0.008)
Caturn –0.770*** –0.777*** –0.769*** –0.769***
(0.032) (0.033) (0.032) (0.032)
Constant 4.698*** 4.910*** 4.841*** 4.843***
(0.180) (0.167) (0.165) (0.165)
IND Y Y Y Y
YEAR Y Y Y Y
Observations 20,035 19,327 19,758 19,758
R2 0.240 0.236 0.237 0.237
Adjusted R2 0.238 0.235 0.235 0.235
Residual Std. error 3.650 (df = 19,989) 3.677 (df = 19,281) 3.666 (df = 19,712) 3.666 (df = 19,712)
F Statistic 140.239*** (df = 45; 19,989) 132.687*** (df = 45; 19,281) 136.021*** (df = 45; 19,712) 136.022*** (df = 45; 19,712)

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively. PSM, Propensity Score Matching; CEM, Coarse Exact Matching.

Table 12. PSM (CEM) research investment efficiency.
Dependent variable
Patents
(1) (2) (3)
CHMGMM –11.560
(18.025)
CHFGMF 77.182**
(37.601)
FemalePer 1.099**
(0.500)
Liab –0.797** –0.793** –0.739**
(0.364) (0.364) (0.365)
Size 9.374*** 9.368*** 9.411***
(0.260) (0.260) (0.260)
Current –2.000 –2.007 –2.202
(2.639) (2.638) (2.640)
BPS 0.381 0.375 0.433
(1.613) (1.611) (1.611)
Caturn 14.765** 14.964** 15.125**
(6.795) (6.793) (6.794)
Constant 176.134*** 162.468*** 144.117***
(38.068) (34.686) (36.047)
Observations 4950 4950 4950
R2 0.259 0.259 0.259
Adjusted R2 0.252 0.252 0.253
Residual Std. Error (df = 4905) 364.883 364.742 364.719
F Statistic (df = 44; 4905) 38.875*** 38.992*** 39.010***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Table 13 employs different methods to demonstrate the robustness of the results. A small treatment is made for the sample. Any change of manager or chairperson becomes effective starting next year. The years overlapping due to changes in the manager and chairperson are removed. The first two columns add ROA and Tobin’s Q as additional control variables. The result of the interactive term remains similar to the original results. In columns (3) and (4), The male chairperson-female manager combination is interacted with, as in the baseline mode, where the chairperson and general manager shareholding is involved. Then, a similar PSM-CEM matching on firm size and ROA is performed, with the switch to involve females used as the control group. The results are controlled at the firm’s individual level. The interactive terms both have positive coefficients as in the baseline model.

Table 13. Additional checks and Heckman two steps.
Dependent variable
RD
OLS Panel linear Heckman Two steps Selection
(1) (2) (3) (4) (5) (6)
CHMGMF –0.389*** –0.032 0.402** 0.374** –0.276 0.034
(0.145) (0.144) (0.160) (0.156) (0.201) (0.203)
Chvalue 0.055*** –0.034** –0.024
(0.009) (0.013) (0.068)
Gmvalue 0.049*** –0.039*** –0.103
(0.010) (0.013) (0.072)
Liab –0.017*** –0.017*** –0.006*** –0.006*** –0.010 –0.011
(0.002) (0.002) (0.002) (0.002) (0.006) (0.007)
Size –0.002** –0.002** –0.004 –0.004 –0.012*** –0.010**
(0.001) (0.001) (0.002) (0.002) (0.004) (0.004)
Current 0.013 0.012 0.001 0.001 0.030 0.026
(0.011) (0.011) (0.011) (0.011) (0.041) (0.042)
BPS 0.020** 0.023*** –0.014 –0.015 0.170*** 0.193***
(0.008) (0.008) (0.012) (0.012) (0.025) (0.025)
Caturn –0.734*** –0.733*** –0.645*** –0.649*** –1.305*** –1.323***
(0.035) (0.035) (0.045) (0.045) (0.118) (0.120)
ROA –0.021*** –0.021***
(0.003) (0.003)
TBQ 0.069*** 0.076***
(0.013) (0.013)
CHMGMF*Chvalue 0.382*** 0.077* 0.509***
(0.047) (0.043) (0.082)
CHMGMF:Gmvalue 0.331** 0.539*** 0.727***
(0.161) (0.183) (0.189)
Constant 4.928*** 4.889*** 5.174** 7.593***
(0.180) (0.180) (2.590) (2.663)
IND Y Y
FIRM Y Y
YEAR Y Y Y Y
Observations 17,568 17,568 17,417 17,417 17,569 17,569
R2 0.246 0.242 0.016 0.016
Adjusted R2 0.244 0.240 –0.113 –0.113
rho 0.028 –0.314
Inverse Mills Ratio 0.109 (1.486) –1.300 (1.528)
Residual Std. Error (df = 17,518) 3.675 3.685
F Statistic 116.734*** (df = 49; 17,518) 114.215*** (df = 49; 17,518) 30.500*** (df = 8; 15,400) 31.578*** (df = 8; 15,400)

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Furthermore, in columns (5) and (6), the Heckman two-step selection model is used, and the selection model is based on female involvement. The ROA, the firm’s Sharpe ratios, and institutional ownership are used in the selection model to reflect that female involvement is affected by firm growth, performance, and ownership structure. The results of the outcome model indicate that the interactive terms remain positive and significant, consistent with the baseline model. Additionally, both columns show the insignificant t-value of the Inverse Mills ratio, indicating a lower risk of sample selection bias.

Table 14 shows the measurement method, where at least the chairperson or general manager is female. The results are similar to those of the baseline model. When the chairperson is female, the general manager is female, or there is at least one female among the chairperson or the general manager, research and development investments are significantly reduced. Table 15 shows the results when the instrumental variable method is used. The percentage of females on the management team and board is used as the instrumental variable for the female gender combinations. Columns (1) to (4) show that the percentage of females on the management team and board is a qualified instrumental variable. Since the percentage of females does not directly affect research and development investment in theory, we test whether females are more risk averse; thus, the percentage of females meets the condition of endogeneity. The results in Columns (5) to (7) are similar to those of the baseline model, indicating lower risk-taking incentives when females participate in the management team and board. However, the wealth of the firm increases risk-taking, indicating that the management team is confident in its research and development investment decisions.

Table 14. Change from baseline.
Dependent variable
RD
(1) (2) (3)
CHF –0.280**
(0.112)
GMF –0.211**
(0.104)
Female –0.160*
(0.085)
Liab –0.015*** –0.015*** –0.015***
(0.001) (0.001) (0.001)
Size –0.002** –0.002** –0.002**
(0.001) (0.001) (0.001)
Current 0.019* 0.019* 0.019*
(0.010) (0.010) (0.010)
BPS 0.019*** 0.019*** 0.019***
(0.007) (0.007) (0.007)
Caturn –0.766*** –0.768*** –0.767***
(0.031) (0.031) (0.031)
Constant 4.860*** 4.854*** 4.857***
(0.161) (0.161) (0.161)
IND Y Y Y
YEAR Y Y Y
Observations 20,349 20,349 20,349
R2 0.241 0.241 0.241
Adjusted R2 0.240 0.240 0.239
Residual Std. Error (df = 20,303) 3.631 3.631 3.631
F Statistic (df = 45; 20,303) 143.465*** 143.402*** 143.384***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

Table 15. Instrumental variable results.
Dependent variable
Female CHFGMM CHMGMF CHFGMF RD
OLS OLS OLS OLS Instrumental variable
(1) (2) (3) (4) (5) (6) (7)
FemalePer 0.006*** 0.002*** 0.003*** 0.002***
(0.0002) (0.0001) (0.0001) (0.0001)
CHFGMF –3.258**
(1.459)
CHMGMF –3.048*** –2.601***
(0.965) (0.966)
Chvalue 0.052***
(0.010)
Gmvalue 0.047***
(0.010)
Liab –0.015*** –0.015*** –0.015***
(0.001) (0.001) (0.001)
Size –0.002* –0.002*** –0.002***
(0.001) (0.001) (0.001)
Current 0.020** 0.019* 0.019*
(0.010) (0.010) (0.010)
BPS 0.020*** 0.009 0.013*
(0.007) (0.007) (0.007)
Caturn –0.778*** –0.784*** –0.781***
(0.032) (0.032) (0.032)
CHMGMF:Chvalue 0.680***
(0.121)
CHMGMF:Gmvalue 1.355***
(0.393)
Constant –0.027*** –0.002 –0.026*** 0.001 4.954*** 4.965*** 4.924***
(0.011) (0.007) (0.007) (0.005) (0.169) (0.165) (0.165)
IND Y Y Y Y Y Y Y
YEAR Y Y Y Y Y Y Y
Observations 20,352 20,352 20,352 20,352 20,349 20,349 20,349
R2 0.067 0.020 0.039 0.027 0.234 0.231 0.229
Adjusted R2 0.065 0.018 0.037 0.025 0.232 0.229 0.227
Residual Std. Error 0.292 (df = 20,311) 0.184 (df = 20,311) 0.205 (df = 20,311) 0.138 (df = 20,311) 3.648 (df = 20,303) 3.655 (df = 20,301) 3.661 (df = 20,301)
F Statistic (df = 40; 20,311) 36.508*** 10.136*** 20.813*** 14.119***

Note: Standard errors are in parenthesis. *, **, and *** indicate significance at the 10, 5, and 1 percent-level, respectively.

5. Discussion and Conclusions

In the baseline overall sample, the involvement of females significantly reduces uncertainty in research and development investment. When the chairperson and general manager hold significant shares in the firm, mixed-gender combinations are less affected by the wealth they have in the firm and the research and development investment increases. On the basis of the above results, if shareholders want high levels of research and development investment, they should choose males for both the chairperson and general manager positions and increase the shareholding and general manager’s wages by adding shares as part of their total compensation. If shareholders seek to lower risks, the female–female combination and a share incentive contract would align with that aim. Given the risk monitoring nature of females and the benefits to research and development efficiency from gender diversification, mixed-gender combinations, particularly with a female as the general manager and a male as the chairperson, promote greater monitoring and moderate research and development investment.

During periods of systemic risk, a general manager with a greater share of wealth reduces the level of investment in research and development if both the chairperson and the general manager are of the same gender. If shareholders seek to lower uncertainty in research investment during periods of systemic risk, a solution would be to increase the share incentive rather than cash wages in the chairperson and general manager’s contracts.

In this study, we have shown that when both the chairperson and general manager are male, they have a stronger incentive to invest in research and development, but when both the chairperson and the general manager are female, their risk-averse characteristics lower their levels of investment in research and development. Since research and development could improve a firm’s future revenue, we recommend a mixed-gender combination, particularly with a female general manager and a male chairperson and suggest increasing the shareholdings of the general manager. Our evidence shows that the mixed-gender combination of the chairperson and general manager can lead to more compromised research and development decisions. Such compromised research investment would mean maintaining the possibility of future product differentiation while controlling for current risks. Furthermore, females show stronger research project-picking technique with higher success rates, monitoring abilities and greater market recognition, which make them well suited for roles as general managers. Finally, we show that chairpersons and general managers with higher shareholding decrease their research investment during systemic crises if both positions are held by males but encourage risk taking when the general manager is female and the chairperson is male.

Our results provide certain policy recommendations. The use of share incentives to align managers’ and chairpersons’ interests with those of shareholders is recommended since shares reduce male managers’ risk-taking incentives in periods of regular and systemic risks, when economic conditions and market preferences may undergo significant changes. Since females use prudential research project techniques and have improved efficiency, they are qualified to hold the general manager position. Current Chinese policy emphasizes green innovation by providing financial support such as green loans and green bonds, which have significantly lower lending rates and green bond premiums. Such a policy could also consider encouraging female leadership, given that our results show that females are more prudential and improve research efficiency. Females who are more environmentally friendly and give greater consideration to stakeholder relations and business sustainability contribute more strongly to “dual carbon” policy goals. To increase female business engagement, some countries have established regulatory requirements for the percentage of female board members, which have been proven effective (De Acutis et al., 2024). Such regulatory enforcement may not be too difficult to implement in the SOEs’ leading business environment in China. However, other soft policies could motivate females to engage in business, including flexible work arrangements and providing larger subsidies for childcare, which offer support. The increased engagement of larger females can improve business performance and sustainability, and it may help shape social value and promote gender equality.

We also note that the gender combination of the chairperson and general manager has very low variation, which makes firm-level fixed control difficult. Moreover, the COVID period is included, and there is no special treatment for this extreme event that may potentially affect the results. Additionally, sample self-selection issues and non-random data collection could lead to potential endogenous and sample bias problems, which affect the quality of the results. Future research could focus on how female managers rebalance their stock portfolios when stock-based rewards become a large proportion of their personal wealth. There is a large overlap between career risk and personal wealth risk when the value of shares is a large proportion of their wealth; thus, if females are risk averse, do they sell their shares and seek to rebalance their portfolios faster than male managers do?

Availability of Data and Materials

The data used in this research can be accessed at https://doi.org/10.7910/DVN/5XPYBX.

Author Contributions

Conceptualization—DS; Methodology—DS; Validation—DS; Formal Analysis—DS; Resources—DS; Writing: Original Draft—DS; Writing: Review & Editing—DS. The author has read and agreed to the published version of the manuscript. The author has participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Acknowledgment

I gratefully acknowledge the comments from the anonymous reviewers.

Funding

This research received no external funding.

Conflict of Interest

The author declares no conflict of interest.

References

Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.