Abstract
Building on social construction theory, this paper investigates how the presence of women on the board may affect access to credit because of lenders’ gender-stereotyped views. In our view this translates into different levels of the firm's bank debt. To evaluate the impact of gender as a social construct, we designed a within-country analysis in Italy by distinguishing between egalitarian and non-egalitarian contexts. To test our hypotheses, we used a sample of 3514 Italian listed and unlisted firms. Results showed a lower level of bank debt for firms with a relevant number of women in the boardroom (i.e., critical mass) if located in a non-egalitarian context. This effect was partially mitigated in firms during a crisis situation. While extant research explains gender-based differences in a firm’s financial structure by a change in inner-board mechanism/dynamics caused by differences in men/women characteristics, we argue that the social construction of gender may also induce lenders in different contexts to view boards with women differently in relation to access to credit.
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1 Introduction
In this paper, we adopted the theoretical framework of the social construction theory to understand whether the presence of women on the board of directors (BoD) influences the ability of firms to access credit.
A firm’s financial structure is crucial in supporting its development, survival, and growth ability (de Andrés et al., 2020; Galli et al., 2020; Marlow & Patton, 2005; Vermoesen et al., 2013). Empirical analyses have shown that women-led businesses face differences in credit access conditions compared to men-led businesses (Aristei & Gallo, 2021; Bellucci et al., 2010; Carter et al., 2007; Coleman, 2000; Marlow & Patton, 2005; Muravyev et al., 2009). The reasons behind these differences have been traced to demand-side and/or supply-side factors.
Regarding demand-side factors, some scholars argue that women-led firms are less likely to apply for a loan than men-led enterprises (Treichel & Scott, 2006) due to a higher risk aversion (Teodósio et al., 2021) or because they anticipate being rejected (Moro et al., 2017).
Regarding supply-side factors, some scholars argue that the lender’s attitude, opinions, and way of thinking may influence his or her decision to lend (Awartani et al., 2016) and that this attitude may change depending on the gender of the applicants (Bellucci et al., 2010; Beck et al., 2018; Carter et al., 2007; de Andrés et al., 2020; Galli et al., 2020; Muravyev et al., 2009).
De Andrés et al. (2020), in their analysis of a sample of Spanish companies, found that women entrepreneurs are less likely to obtain a loan during the founding year. Their results suggest that lenders adopt a double standard when evaluating loan applications due to implicit (unconscious) discrimination. Bellucci et al. (2010) found that women entrepreneurs face tighter credit availability and more stringent contract terms, such as higher interest rates and greater collateral requirements. They found that differences in riskiness of entrepreneurial ability cannot explain the contract term differentials between men and women entrepreneurs. Carter et al. (2007) analyzed the criteria and processes used by bank officers in assessing loan applications and found that women and men loan applicants are likely to be assessed on different criteria, supporting the idea of a double standard of evaluation (De Andrés et al., 2020). Carter et al. (2007) concluded that “gender plays a role in the credit decision-making process as loan officers evaluate male and female applicants not just on the merits of their individual case, but also on the basis of their perceptions of men and women that have been imbued by gender socialization processes” (p.439).Footnote 1
In this regard, we argue that the dominant culture in a specific geographic context may play a key role in affecting the lender's attitude toward men and women applicants.Footnote 2
The analysis of how culture can influence lenders' attitudes toward men and women can be usefully conducted by framing it within the social construction theory (Berger & Luckmann, 1966; Ridgeway, 1991). Social construction theory postulates that the ways of thinking, feeling, and behaving for men and women is influenced from childhood by sex-role socialization (Nelson, 2020; Ruble & Martin, 1998; Ruble et al., 2006), which also has a prominent role in shaping individual perceptions of others (Wood & Eagly, 2002).
Since childhood, through sex-role socialization, men and women learn how women and men are expected to behave in the society they live in. They learn what it means, in a given social context, they learn what it means to be a woman or a man and build their beliefs about men’s and women’s innate characteristics (i.e., stereotypes). According to a widespread "think manager- think male" stereotype, these widely shared beliefs may affect the way lenders perceive women or men managers and directors according to a widespread “think manager—think male” stereotype (Ryan et al., 2011). Our goal is to capture if, based on the theoretical framework of the social construction theory, the presence of women on the board of directors (BoD) influences the ability of firms to access credit and whether this influence changes according to the culture prevailing in a given geographical context.
To adequately capture the role of shared beliefs in shaping stereotypes, our analysis was placed in Italy, where cultural differences (specifically about women’s status) among regions are well-acknowledged in the literature (Amore et al., 2014) and where gender-based stereotypes emerge differently at a local level. We carried out a within-country analysis and referred to egalitarian and non-egalitarian cultures to signal the different expectations on the role of women in each area. Specifically, we considered that man-oriented, patriarchal, non-egalitarian cultures tend to identify and emphasize differences in personality traits as masculine or feminine and reinforce the stereotypical view of woman (Grable, 2000; Jianakoplos & Bernasek, 1998; Powell & Ansic, 1997). Conversely, in egalitarian cultures, differences in personality traits and the aforementioned stereotypical views tend to be less accentuated (Wood & Eagly, 2002).
Further, we extend the so-called “glass-cliff” that reveals that women are often considered more suitable for managing crisis situations (Kulich & Ryan, 2017; Ryan et al., 2016). Previous contributions suggest that women are more likely to achieve top positions when they are accomunated with crisis and a higher risk of failure (Bruckmüller & Branscombe, 2010; Haslam & Ryan, 2008; Ryan & Haslam, 2005). On the contrary, as long as a firm performs well, there should be no apparent need to change, following in a bias toward preserving the status quo (Bruckmüller & Branscombe, 2010). If men have managed the firm into difficulty, selecting a woman in top position will appear as a solution to turn things around (see Ryan & Haslam, 2007 for a related discussion). This “think crisis - think female” (Ryan et al., 2011) stereotype is at odds with the aforementioned “think manager - think male” stereotype and can contribute to our understanding of the lenders’ view in the evaluation of women in their request for debt. Specifically, our second hypothesis looked at corporate crisis situations to further understand if the presence of a stereotyped view may affect access to credit. We used a sample of 3514 Italian firms to test our two hypotheses. Specifically, we hypothesized that the number of women on a board (Bannò & Nicolardi, 2020; Konrad et al., 2008) affects a firm’s access to credit according to the egalitarian/non-egalitarian context in which the firm operates. As long as the presence of women directors results in the build-up of critical mass (i.e., at least three women in the boardroom), this is perceived by lenders, and they will be influenced accordingly. Results show a lower level of bank debt for firms with a critical mass of women in the boardroom if located in a non-egalitarian context (first hypothesis). According to the potential for stereotypical views, this effect is partially mitigated in firms facing a corporate crisis situation (second hypothesis).
This paper makes several contributions to the literature, and our results have some interesting policy and managerial implications.
First, this paper advances the social construct theory through an empirical study. We built our hypotheses on the socially constructed stereotyped view of gender roles that characterise Italy at a local, regional level. By leveraging the contrast between egalitarian and non-egalitarian contexts of different areas, we show how socially constructed stereotypes may influence lenders’ decisions on credit access and, eventually a firm’s access to external resources. To the best of our knowledge, for the first time, the Italian within-country analysis adopted in this study captures the effects of socially constructed stereotypes within the same regulatory environment.
Second, this paper advances the literature on board gender composition by identifying the external relevance of critical mass (De Masi et al., 2021). Critical mass is traditionally studied as having internal relevance for the board of directors, affecting only the board’s inner workings and processes by making women visible (Konrad et al., 2008; Torchia et al., 2011). For the first time, we introduce the concept of external relevance of the critical mass: we show that reaching a critical mass also implies external visibility for women, which plays a role in how boards are viewed in different contexts. In appointing board members, firms need to consider the consequences in terms of socially constructed stereotypes that external visibility implies: if not adequately addressed, these consequences may lead to unexpected outcomes that may be at odds or undermine the expected (and sought-after) outcomes of board gender composition.
Finally, this paper has many policy and managerial implications. In the last few years, governments have had to deal with a loss of revenues, an increase in the demand for public expenditure, and tightening global financial conditions (Hevia & Neumeyer, 2020). As such, the definition of effective public financial incentives is critical. Following previous contributions about women’s influence on firms’ results (Khan & Vieito, 2013; Robb & Watson, 2012), strategic developments (Mallin & Brush, 2006; Morris et al., 2006; Sonfield et al., 2001), and management of crises (Byrnes et al., 1999; Fehr-Duda et al., 2006), this paper advances the understanding of the relationship between the presence of women on boards, the peculiarities of such a context, and their implications for firms’ strategies and future development (Bannò et al., 2020).
2 Theoretical background
2.1 Gender as a social construct
Berger and Luckman introduced the concept of social construction in their seminal work in 1966. Social construction assumes that people create their understanding of the world jointly with others rather than individually: “The theoretical formulation of reality, whether that be scientific or philosophical or even mythological, does not exhaust what is “real” for the members of a society” (Berger & Luckman, 1966, p. 15). In particular, this understanding of reality includes expectations on others' behaviour. These expectations are built through social interaction and propagate in society when individuals are treated coherently with beliefs: social interaction spreads beliefs through behaviour, “creating a diffusion process that makes widely shared beliefs possible” (Ridgeway & Erickson, 2000, p. 579). Consequently, the shared understanding of reality varies across time and cultures because it is a consequence of social interaction. It is established and applied by sharing language, practices, belief systems, and collective rules (among other forces) (Nelson & Constantinidis, 2017).
Within this interpretative framework, gender is a social construct that establishes expectations of men and women and what they can and should do (Nelson, 2020; Ruble & Martin, 1998). Management scholars described the social construction of gender as a framing mechanism with fundamental works provided by Nelson (2020), Ely and Padavic (2007), and Calás et al. (2009).Footnote 3 Social construction is constantly created and recreated by human interaction: gender is a human production that depends on everyone “doing gender” (West & Zimmerman, 1987). It starts with the assignment to a sex category at birth and continues for a lifetime through the assignment of name, dress, and social role. The implicit statements attributed to “maleness–femaleness” in terms of status result in gender being a definite form of disparity. The direct consequence is an attribution of resources and power attributed to “maleness–femaleness” in terms of status result in gender: “Gender is an extraordinarily relevant category for social behaviour because sex (man–woman), along with age, serves as a primary orienting characteristic in our interpersonal relations—people are sex categorized in almost every encounter. Put simply, gender usually influences positively for men and negatively for women at some level” (Nelson & Constantinidis, 2017, p. 231).
Ruble et al. (2006) provide a comprehensive research overview on gender development in children, suggesting that “gender stereotypes are well developed at the end of preschool” (p. 864). For instance, it has emerged that children entering elementary school have extensive knowledge about which activities are linked to being a man or woman and that stereotypes are held quite rigidly.
Nelson (2020) describes a social nature of knowledge creation that may provide an interesting interpretation of research results. Coherently, human minds are influenced by the so-called “cognitive gender,” which refers to the tendency to categorize actions and behaviours in gendered terms (Agars, 2004; Perry et al., 1994; Ryan & Haslam, 2007). Thus, gender stereotypes are based on shared beliefs about the qualities associated with each sex and the characteristics attributed to gender that define how men and women are (i.e., descriptive stereotypes) and how they should be (i.e., prescriptive stereotypes) (Heilman et al., 2004; Schein, 2001). Stereotyped knowledge has been found to vary across ethnicity/cultures, with European, Hispanic/Latino, and Asian children showing greater stereotyping (Ruble et al., 2006).
To summarize, as a social construction, gender is a social process that has implications in day-to-day life and how men/women managers are supposed to manage a firm. Extant economics and management literature on gender has borrowed evidence on the differences between men and women from other fields, such as psychology (see Chen et al., 2016; Huang & Kisgen, 2013; Sonfield et al., 2001; for an earlier study, see Burgess & Borgida, 1999). From those contributions, women are associated with more communal traits, such as eloquence, empathy, kindness, gentleness, compassion, helpfulness, and timidity, whereas men are associated with more agentic traits, such as autonomy, self-determination, fierceness, instrumentality, and courage (Pounder & Coleman, 2002; Powell, 2018). Expectations concerning the qualities of good entrepreneurs/managers often dictate the type of role considered appropriate for men and women based on their gender, leading to a situation in which the requisite characteristics for specific positions (e.g., CEO) are defined according to gender (Heilman, 1997; Nelson, 2020).
According to these findings, extant research supports the idea of a link between competence and gender which can be summarised in the two beliefs above “think manager—think male” and “think crisis—think female” (Bruckmüller & Branscombe, 2010; Haslam & Ryan, 2008; Ryan & Hasla, 2005).
However, this link results from interpersonal interactions among individuals based on shared beliefs about the qualities associated with each sex. This interaction creates a self-perception that leads individuals to implement expectations of themselves generated by the interactions with others (Ridgeway & Erickson, 2000).
Scholars have frequently analysed historical determinants of gender roles, and these have deep-rooted origins in factors such as geography, language, and pre-industrial societal characteristics (see Giuliano, 2020 for a comprehensive review).Footnote 4 Deep-rooted work specialisation, cultural values and gender beliefs are transmitted and reinforced by language (i.e., the prevalence of grammatical gender and the linguistic structure fosters the transmission of gender beliefs).
As a consequence of this social construction process, the expectations one has of women can become a self-fulfilling prophecy: people, whether men or women, will tend to see women as having less status and competence in achieving tasks related to the running of a firm (Nelson & Constantinidis, 2017).
In conclusion, perceived gender differences in terms of the personal traits of individuals is a social construction and are context-specific; they will change over time through a process of social learning (Giuliano, 2020).
2.2 ‘Men are from Mars; Women are from Venus’: nurturing lender’s stereotypes
Existing research on gender in economics and management literature has been influenced by and contributed to the social construction of gender stereotypes. According to Nelson (2020), mainstream economics has a profoundly gendered nature: “definition, models, and methods of mainstream economics have been built on a wholehearted adoption of areas of life and characteristics culturally associated with masculinity, and an equally wholehearted rejection of those associated with femininity” (p. 4). With specific reference to research on gender differences in preferences, Nelson (2020) claims that many articles suffer from confirmation bias, simplistic thinking, and publication bias. In particular, confirmation bias consists of over-hyping results that show that men are different from women in terms of peculiar characteristics and, vice versa, neglecting cases where no statistically significant difference can be found. We agree with that evidence and we build our hypothesis based on it.
Earlier research in management suggests that women are cautious, lack confidence, are low aggressive, are easy to persuade, and have limited leadership and problem-solving abilities when making decisions (Johnson & Powell, 1994). Furthermore, extant literature suggests that women are not different in terms of motivation, the desire for independence, or self-achievement (Littunen, 2000; Sarri & Trihopoulou, 2005), but they still differ from men in how and when they will reach their goals because they want to balance the demands of work, family, and their personal lives, and they transfer this idea into an organisation (Brush et al., 2019; Morris et al., 2006). Finally, women have been traditionally described as rarely specialising in finance (Sjöberg & Engelberg, 2009). We consider that those results nurture stereotypes and, in the end, also may influence management practice.
Similar results can also be found in studies specifically analysing gender-based differences in debt financing. In particular, the literature focused on two related topics (Carter et al., 2007). First, researchers have sought to unravel the complex relationship between the gender of an entrepreneur (or the gender of BoD members) and bank debt about the amount of debt, the terms of credit negotiated, and the perceived attitudes of bank lending officers to women entrepreneurs and managers (i.e., supply-side issue) (see Coleman, 2000; Ely & Padavic, 2007; Haynes & Haynes, 1999; Koenig et al., 2011; Verheul & Thurik, 2001). Second, researchers have tried to understand whether gender-based differences in debt financing are a consequence of a demand-side issue, such as risk or debt aversion by women entrepreneurs and managers (Bellucci et al., 2010; Read, 1998; Watson & Robinson, 2003).
Regarding demand-side issues, a key result from management studies is that women act differently from men by displaying more risk-averse behaviour (for a recent and comprehensive review, see Teodósio et al., 2021). However, as already mentioned, these findings are generally based on experimental studies on gambling (Ahmed & Atif, 2021), and when managerial settings are specifically considered, there is no difference in decision making between men and women (Faccio et al., 2016; Johnson & Powell, 1994). Dwyer et al. (2002) found that knowledge disparities could substantially drive the greater risk aversion behaviour among women described in the literature. Consequently, women, when well informed, are not necessarily risk-averse. Specifically, Ahmed and Atif (2021) and Faccio et al. (2016) argue that women are not risk-averse, but uncertainty averse, as most experimental evidence on risk aversion is actually based on gambling and lottery experiments, and board decision-making processes are not comparable to gambling. Furthermore, Sila et al. (2016) differentiated between lottery/gambling risk and firm-level risk and found no evidence of a correlation between the presence of women on boards and risk. Moreover, recent studies have shown that women directors are particularly responsible (Fondas, 2000), conscientious, and take more time to make decisions (Faccio et al., 2016), especially during periods of crisis (Cesaroni et al., 2015; Schmitt et al., 2008). Furthermore, corporate financial literature considers women to be less overconfident than their men counterparts (Croson & Gneezy, 2009; Huang & Kisgen, 2013) and finds that men avoid situations of loss such as corporate crises and usually leave companies in those circumstances (Daily & Dalton, 2003; La Rocca et al., 2020). Moreover, the qualities valued as desired for a manager in an unsuccessful firm were more analogous to images of average women than of average men. Thus, men should be favoured for top positions in case of success because they “think manager–think male”, on the contrary, women should be favored during crisis due to “think crisis–think female” (Dasgupta & Asgari, 2004).
Building on the social construction theory, we consider that there is supply-side discrimination due to stereotypes, i.e., widely shared beliefs about men’s and women’s innate characteristics that may reveal gender discrimination regarding what it means to be a woman manager or a man manager in society. For instance, being a member of a BoD is commonly seen as a masculine pursuit, and the idea of being entrepreneurial is coded as aggressive, autonomous, innovative, risk-taking, and courageous (Alsos et al., 2013; Chen et al., 2016). Accordingly, studies have suggested that social constructs regarding gender depict a woman and man entrepreneurs and managers differently and that women may be at a disadvantage due to not being naturally linked to behaviours identified as masculine (Bruni et al., 2004; Javidan et al., 2016). Expectations concerning the qualities of good entrepreneurs/managers often dictate the type of role considered appropriate for men and women based on their gender, leading to a situation in which the requisite characteristics for some responsibilities are defined in those terms (Heilman, 1997; Nelson, 2020). We consider, for instance, the effect of a categorical interpretation according to gender stereotypes due to phrases such as ‘women are more risk-averse than men’ (Nelson, 2020). With the stigma of women being risk-averse, lenders may be reluctant to concede debt to women because of the view that women directors may only be involved in conservative decision-making, which may be damaging to the firm's growth (Ahmed & Atif, 2021).
We advance the idea that the consequence of this biased way of communicating scientific knowledge is to nurture the gender-stereotyped view that women present some exclusively masculine traits or feminine (Grable, 2000; Jianakoplos & Bernasek, 1998; Powell & Ansic, 1997). In our view, supply-side discrimination is a consequence of stereotypes and widely shared beliefs about men’s and women’s innate characteristics regarding what it means to be a woman or a man manager in society. As such, when facing lenders, women and men may experience different evaluation standards. In this paper, we argue that men and women are equally capable in terms of achieving desired outcomes from decision making because competence is not a gender-based issue (D’Allura et al., 2021).
In summary, most of the existing literature on gender differences in management supports and nurtures two opposite stereotypical views on the link between gender and competences. First, a “think manager - think male” stereotype is based on the belief that males' innate characteristics better fit with the role of manager for which the aforementioned masculine traits are considered more desirable (Ryan et al., 2011). Second, a “think crisis - think female” stereotype is based on the belief that women's innate characteristics (i.e., the aforementioned feminine traits) are more suited to crisis management (Ryan et al., 2011).
2.3 The social construction of stereotypes: a within-country analysis
Gender inequality is not permanent or inevitable (Ruble et al., 2006). Through daily interactions, people construct reality and define a social structure that is somehow persistent but may vary across time and cultures (Nelson & Constantinidis, 2017). For example, people living in small and integrated communities share common values and beliefs and develop collective consciousness. Indeed, community members think and act alike because they have a shared culture and shared experiences from living in close-knit areas (Durkheim, 1964 [1893]).
For this paper, we employ a within-country analysis to verify the effect of small and integrated communities. With this design choice, we aim to exclude from our analysis the potential effects of cross-country differences related to the legal system, fiscal policies, and market regulations on a firm’s financial structure. For example, there may be country-specific factors (e.g., differences in banking operating costs, differences in the average size of banks, differences in taxation, and market conditions) that may affect a cross-country comparison (Awartani et al., 2016; Carbó et al., 2009; Fan et al., 2012).
We use the term non-egalitarian context, as opposed to egalitarian context, to reference the characteristics of a male-oriented, patriarchal context in which gender differences are significant, pervasive, and almost taken for granted. Specifically, in an egalitarian culture, all individuals are born equal, and all members of society have equal opportunities. Referring to gender, the egalitarian context aims to minimise discrepancies between men and women; differences in personality traits and the aforementioned stereotypical views tend to be less accentuated (Wood & Eagly, 2002). Conversely, non-egalitarian cultures tend to identify and emphasise personality traits as masculine or feminine and reinforce the stereotypical view of gender (Grable, 2000; Jianakoplos & Bernasek, 1998).
As previously mentioned, gender and gender stereotypes, as social constructions, are context-dependent: they are created jointly by people within a specific context. When making a distinction between egalitarian and non-egalitarian, the aim is to capture the role of cultural beliefs in shaping gender stereotypes.Footnote 5
In this paper, we analysed the effect of gender stereotypes on a firm’s financial structure and adopted a within-country analysis to capture differences between egalitarian and non-egalitarian contexts effectively. We focussed on the case of Italy, in which cross-regional differences in terms of egalitarian and non-egalitarian contexts are well-acknowledged in the literature (Banca d’Italia, 2014). We considered Italy an interesting laboratory because of the culture and views on gender stereotypes embedded in a long historical and economic path (Mannarini et al., 2019; Villano & Passini, 2018). Noticeable disparities exist across regions in terms of gender roles. Traditional beliefs of the family in which the woman is the homemaker and the man is the breadwinner depict Southern regions of the country. These beliefs, which are exhibited less often in central Italy, are much less widespread in the northern regions of Italy (Amore et al., 2014). To date, Italy still has a great inconsistency: almost half of the territory lives in social, economic, and civil conditions so dissimilar as to make it seem almost a nation apart (Eurispes, 2021; Greco, 2021). The within-country analysis allowed us to leverage these differences to aid our comprehension of the phenomena being analysed.
2.4 Critical mass: internal and external relevance
Board gender composition (i.e., the number of women on the board) is generally supposed to have an impact on a firm’s performance (i.e., internal relevance) (see, e.g., Erhardt et al., 2003; Campbell & Minguez-Vera, 2008; Moreno-Gomez et al., 2018); however, it may also be detected by external actors for use in their evaluations (i.e., external relevance) (Johnson et al., 2013). Lenders are among these external actors.
As far as internal relevance is concerned, previous contributions suggest that women, when appointed to a board, can be influential only if they have individual power (e.g., as CEO), if they have specific and greater prior board experience and network ties such as wider interlinks with other boards (see, e.g., Bannò et al., 2021; Westphal & Milton, 2000; Cook & Glass, 2015). In other words, it is not sufficient for a woman to enter a board of directors to make a contribution; something “more” (compared to man board members) is needed.
In this regard, Konrad et al. (2008) introduced the concept of critical mass as the minimum number of women to appoint to a board to make their contribution effective and to gain internal relevance: three is the “magic number” (p. 146). Instead, when only one woman is serving on the board, she can be ignored, dismissed, not taken seriously or otherwise excluded (Konrad et al., 2008). A lone woman on the board may be seen as a symbol or a token (Asch, 1951, 1955; Tanford & Penrod, 1984); her impact may be feeble, and she risks being invisible. Furthermore, when two women serve on the board, they are often looked at as “conspirators”; they may have a larger impact on the board, but still, they have to work hard to be heard. In both cases (i.e., one or two women), gender represents a barrier to acceptance and communication. When three or more women serve on the board (i.e., critical mass), this barrier falls, their presence on the board becomes effective, they may freely contribute to board decision-making, they have a noticeable impact on the board dynamics because they acquire internal relevance (Konrad et al., 2008).
On the one side, empirical studies mainly consider the internal relevance of critical mass and focus on how board composition affects a firm’s performance (see, e.g., Erhardt et al., 2003; Campbell & Minguez-Vera, 2008; Moreno-Gomez et al., 2018), on the other side, how critical mass interacts with external factors is less investigated (Johnson et al, 2013). Post and Byron (2015), in their attempt to reconcile the mixed evidence in the literature, analysed the relationship between women on boards and firm financial performance and found that contextual factors (and socio-cultural contexts in particular) are critical in moderating the relationship above. Specifically, they found that the relationship between women board representation and market performance “is positive in countries with greater gender parity (and negative in countries with low gender parity)—perhaps because societal gender differences in human capital may influence investors’ evaluations of the future earning potential of firms that have more female directors” (p. 1546). In other words, investors and lenders look at board composition in their evaluations. Holder-Webb and Sharma (2010) found that lenders are sensitive to financial conditions and the perceived reliability of financial reporting and that their decisions are also affected by governance quality, which they measure by board composition. Board quality impacts the cost of debt (Fields et al., 2012; Rahaman & Al Zaman, 2013), and management is important for the pricing and definition of debt contracts by creditors (Karavitis et al., 2021; Rahaman & Al Zaman, 2013).
In short, investors and lenders look at board composition when evaluating firms, and board composition is generally considered because it is supposed to impact a firm's performance. This implies that board gender composition is clearly detected by these external actors and has an external relevance. Building on this evidence, we argue that the critical mass has external relevance whenever it is perceived by the subjects who have to make decisions within a specific context. Here, we argue that when critical mass is reached, visibility is also achieved outside the board.
There are, therefore, two elements of critical mass to be considered. The first is internal relevance and the overcoming of prejudices and stereotypes within the board, which allows them to contribute to the functioning of the decision-making body. The second is external relevance; even outside the organisation, the organisation is perceived differently. Previous research (Holder-Webb & Sharma, 2010; Fields et al., 2012; Muller‐Kahle & Lewellyn, 2011; Rahaman & Al Zaman, 2013) proves that lenders look inside the organisation, so they see that critical mass has been reached and the stereotype is triggered. Thus, our study introduces an external relevance of critical mass, traditionally described exclusively for its internal relevance (Joecks et al., 2013; Konrad et al., 2008), that is, the lenders’ stereotyped view of the presence of women on the board. We argue that the external relevance of critical mass plays a role in how boards are perceived from outside the organisation in different contexts. In a stereotype-driven, non-egalitarian context, the outside view of the board will assume masculine or feminine traits according to the number of women on the board and the power they hold. As such, lenders’ views will be affected by the same gender-based stereotypes and will change lenders’ attitudes towards the board.
The hypotheses on how critical mass affects lenders’ views in a non-egalitarian context and their impact on the level of bank debt were developed following this line of thought.
3 Hypothesis development
The social construct theory supports our interpretation of the relationship between the presence of women on boards (i.e., critical mass) and levels of debt by adopting the hypothesis that lenders have a different view of the board in terms of gender (i.e., supply-side). In their evaluation process, we argue that lenders will be influenced by any gender stereotype of the social context where they operate (egalitarian vs non-egalitarian). Accordingly, studies have suggested that social constructs regarding gender depict BoD members differently and that women may be at a disadvantage due to not being naturally linked to behaviours identified as masculine (Chatman & Flynn, 2001; Eagly & Karau, 2002). These stereotypes influence lenders’ views and standards of evaluation and potentially create barriers for firms trying to access credit. Accordingly, we built our two main hypotheses.
Figure 1 summarises our hypotheses on the presence of women on the board and the level of bank debt.
The first hypothesis considers the relationship between the presence of women on boards and the level of bank debt in stereotype-driven non-egalitarian contexts. Due to lender aversion, women face less favourable financing conditions, such as collateral requirements, co-signatory requirements, and higher interest rates on loans (Alesina et al., 2013; Riding & Swift, 1990). As mentioned, lenders in that context prefer to grant credit to males and prefer boards with a gender profile that reflects masculine traits such as competitiveness, aggressiveness, and risk-taking (Cowling et al., 2020; Jennings & Brush, 2013). Additionally, since women have been described as less specialised in finance (Sjöberg & Engelberg, 2009), this negatively affects the lender's view by triggering a “think manager - think male” stereotype. Thus, a stereotype-driven non-egalitarian context may constrain boards with a critical mass to relying on debt financing.
Accordingly, we expect that:
Hypothesis 1
There is a negative association between the presence of women on corporate boards and firms’ debt financing when the context is non-egalitarian.
Early literature suggests that men tend to interpret risky situations as challenges that stimulate their desire for involvement and participation, while women tend to interpret them as threats and avoid them (Ahmed & Atif, 2021; Johnson & Powell, 1994). Literature states that women directors are likely to stay during a corporate crisis and are “cooler” in managing stressful times and difficulties inside the organisation (Buratti et al., 2017; Mano‐Negrin & Sheaffer, 2004). Thus, considering the stereotype of the natural risk aversion of women, in cases of corporate crisis, lenders may prefer women over men for managing the processes with greater caution. Considering lenders' perspective in a non-egalitarian context, we argue that shared beliefs on women traits trigger the “think crisis - think female” stereotype in lenders when evaluating a firm facing a crisis condition. Thus, a stereotype-driven non-egalitarian context may favour boards with a critical mass to rely on debt financing during times of crisis.
Accordingly, we expect that:
Hypothesis 2
During a corporate crisis, the negative association between the presence of women on corporate boards and firms’ debt financing is mitigated when the context is non-egalitarian.
To summarize, on the supply side, a negative moderating effect due to the non-egalitarian context is expected when the critical mass of at least three women on the board is reached. Conversely, a positive moderating effect due to the non-egalitarian context is expected when critical mass is reached in a crisis scenario. All hypotheses are based on the idea that social construction induces a stereotypical view about women that affects lenders’ decisions to grant credit access.
4 Empirical analysis
4.1 Sample and sources
The sample for the within-country analysis included 3514 Italian firms. The dataset we employed to characterise our sample, updated to the year 2018, was gathered through a process of merging data from the following databases: AIDABureau Van Dijk, Borsa Italiana, Espacenet, and Reprint.
The variables describing board, balance sheets, and financial data and the variable describing whether the firm is a family business were obtained from the AIDA Bureau Van Dijk database. Borsa Italiana is responsible for the organisation and management of the Italian stock exchange and collects information about listed firms. The Espacenet database provides information from approximately 90 million patent documents worldwide and provides the number of active patents each firm owns. Finally, Reprint provided a census of Italian firms that have made outward foreign direct investments and was employed to define the variables that describe internationalisation (Mariotti & Mutinelli, 2017).
As outliers can heavily influence the distribution of many statistics, our strategy was to set all outliers to a 1–99 percentile of the data (Greene, 2018). Firms were selected randomly from AIDA; therefore, each firm had the same probability of being selected. As an additional check, the sample's representativeness was evaluated to ensure that the characteristics of the selected sample were similar to those of the entire population of Italian firms. χ2 tests on the distribution of firms based on their sectors (2 digit, Nace) revealed a nonsignificant difference between the selected sample and the entire population.
4.2 Variables and models
Table 1 reports the sources and defines the dependent and independent variables.
4.2.1 Dependent variables
The dependent variable for all the hypotheses is the total amount of bank debt over total investments (Level of Bank Debt) (D’Amato, 2020; Datta et al., 2021; Zaid et al., 2020).
4.2.2 Independent gender variables
To measure the perceived presence of women, we employed a dummy variable equal to 1 if at least three women are active on the BoD and 0 otherwise (Critical Mass) (Joecks et al., 2013; Konrad et al., 2008). We also labelled firms with a small board (i.e., with two or three members) of at least two women as critical mass; we assumed that critical mass is reached if the majority of the board is composed of women. A variable indicating the presence of only one woman in the BoD has been added (Token).
4.2.3 Independent interaction variables
The inclusion of women in society can occur mainly through formal institutions (Fuentelsaz et al., 2019). Therefore, it is considered that the quality of institutions can guarantee this equality (Sinanai et al., 2008; Esarey & Chirillo, 2013). Based on these premises, we use the European Quality of Government Index (EQI), the only available measure of quality context at the regional level in the European Union (Charron et al., 2019; Peiró‐Palomino et al., 2020). The EQI results from survey data on regional level governance within the EU. EQI aims to provide researchers and policymakers with a tool to better understand how institutions' quality vary within regions. To measure the independent variable for Hypothesis 1, the non-egalitarian context, we employed the variable NE Context, a dummy variable taking the value 1 if the firm is located in a context with an EQI lower than the Italian average 0 otherwise.
According to Hypothesis 2, to detect a firm crisis, we followed the guidelines provided by the Italian National Council of Certified Accountants (CNDCEC, 2019). Among the available variables, the “liquid asset return index,” measured by the ratio between cash flow and total assets, is the most relevant for our purposes. The firm crisis is then measured with a dummy variable equal to 1 when the index is lower than a given threshold (Crisis). Thresholds are specific by sector (ATECO ISTAT 2007) and are determined according to the median of the subset of insolvent companies (CNDCEC, 2019).
4.2.4 Control variables
Following previous research, we controlled for several firm-specific characteristics as further control variables. The effects of the presence of women on the BoD depend on the total number of board members (BoD). Firm size and firm age are proxies for accumulated knowledge and managerial experience; they usually display a positive correlation with the ability to obtain bank debt and are thus included as control variables. Size was measured as the total sales, and Experience as the number of years since the firm was founded (Hölzl, 2014).
We further controlled for the effect of family ownership since the literature demonstrates that family ownership exerts influence over the financial structure by constraining the level of bank debt (González et al., 2011; Gottardo & Moisello, 2014). The variable Family Business is defined as a binary variable equal to one if either a non-listed firm is the majority-owned by the family or no less than 20% of a listed firm is owned by the family and zero otherwise (Anderson & Reeb, 2003; Lee & Tan, 2001).
We also controlled for profitability measured as the return on investment (Profitability) and the value added per employee (Value Added), which informs us about the complexity of the production system adopted inside the firm. The literature suggests a positive relationship between value added, profitability, and level of bank debt (Hanel & St-Pierre, 2002).
Additional control variables included Bonds, a dummy equal to one if the firm has bonds. Bond emissions are currently a viable option only for bigger firms and represent a potential alternative to bank debt. Firms may also affect lenders’ views by issuing bonds, which can be negotiated on the market, and lenders will use their market rating in evaluating credit requests. The variable Tangibility, measured by tangible assets scaled by total assets, is included as it is a critical driver due to the role of collaterals (Degryse et al., 2021; Tran, 2021). The level of a firm’s innovation was measured through the firm’s R&D output, which is proxied by the number of active patents (Innovation) (Katila, 2000), while the level of internationalisation was taken as the stock of the total foreign direct investments made by the parent company in foreign markets (Internationalisation) (Bannò & Trento, 2016; Kafouros et al., 2008). Both measures were included, as they imply a higher level of financing. Our study also controlled for listed firms because Italy introduced gender quotas to all publicly listed companies in 2011; consequently, there is almost certainly a token woman in these companies, and there is a higher probability of finding critical mass. The variable Listed is a dummy, and it is equal to 1 if the firm is listed and 0 otherwise. Finally, industry dummies (Sector) were included as further controls because of the significant impact of the industry on the financial structure, and specifically on the debt level (Harris & Raviv, 1991; Villalonga & Amit, 2006). Some researchers argue that differences in the registration of financial measures are not gender-based issues but depend on the type of sector and activity. Women-run businesses often operate in the services sector, a less dynamic context with lower revenues, limited growth prospects, and lower employment rates (Singh & Vinnicombe, 2004). Dummies were measured based on two industry digits taken from the NACE classification.
Three econometric models were developed to test the hypotheses. In addition to the model containing only the control variables (Baseline Model), the two conceptual models were estimated where Critical Mass moderates the variables proxying NE Context (Model 1) and Crisis (Model 2). The models test the hypothesis by assessing the separate impact of Critical Mass as a dummy variable and the moderating term:
Baseline Model:
Level of Bank debt = ƒ(Token; Critical Mass; Control Variables)
Model 1:
Level of Bank debt = ƒ(Token; Critical Mass; Critical Mass × NE Context; Control Variables)
Model 2:
Level of Bank debt = ƒ(Token; Critical Mass; Critical Mass × Crisis × NE Context; Control Variables)
An Ordinary Least Squares (OLS) regression analysis was performed to test the hypotheses, given the continuous nature of the dependent variable (Greene, 2018).
4.2.5 Descriptive statistics
Figure 2 frames the value of the EQI for our within-country analysis. According to many recent studies, the index identifies Southern Italy as the worst in Europe in terms of the quality context (Mannarini et al., 2019; Villano & Passini, 2018). Figure 2 depicts a perfect distinction between the North and South of Italy according to the index's performance. All the regions in the South show an EQI lower than 1.5, while all the regions in the North show an index higher than 1.
![figure 2](http://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs10997-022-09641-w/MediaObjects/10997_2022_9641_Fig2_HTML.png)
Source Charron et al. (2021)
Within-country EQI in Italy.
The culture of many regions still depicts women in the role of caring, especially in the South (Alesina et al., 2013). Data about women employment confirm this difference. The situation is even more complicated within the South, where the rate of women employment is more than 30 points away from the EU average: 62.4% for women between the ages of 15 and 64 (Carloni, 2021).
Only 43.9% of firms register at least one woman among the board members (as a token), and only 355 (8.7%) have reached critical mass. Almost 18% of firms were located in a patriarchal and male-oriented context, with a small difference between the subsample with and without critical mass (12.8% and 18.7%, respectively). Descriptive statistics for the whole sample are reported in Panel A of Table 2. Descriptive statistics for the two subsamples with and without critical mass are reported in Panel B of Table 2.
The average level of bank debt for the whole sample is 0.23. The firms with a critical mass are bigger than the subsample without critical mass. Additionally, only 4.2% of the sample firms were listed, and only 5.9% emitted bonds. In terms of innovation and internationalisation, firms with critical mass have a higher average number of patents and a higher number of foreign direct investments. Firms with critical mass have a slightly higher average experience and a slightly lower average profitability value. One out of three of the sample firms is a family business, with only a small difference in the subsamples.
The correlation matrix (Table 3) shows acceptable correlation indexes (Greene, 2018).
4.3 Empirical results
Table 4 reports the regression results from all models, and Fig. 2 shows interaction graphs. The models differ with regard to the statistical significance of the variables connected to gender.
In all models, the variable that detects only women presence (Token) is never statistically significant in any model. This indicates that women presence alone is not sufficient to determine a state; what rather eventually determines the effect is the Critical Mass. Indeed, Critical Mass captures the external relevance of the board composition. As expected, in all models, when not interacting with the context, the critical mass had a non-significant effect on the level of bank debt. Crisis alone has a negative effect in all models, at least at p < 0.10. On the other hand, NE Context alone has a negative effect only in the Baseline model (significant at p < 0.05). Its moderating effect becomes clear when it is considered in interactions with other variables. Model 1 reports the interaction effects of Critical Mass and NE Context. Regression results report a negative and significant coefficient (significant at p < 0.05), providing strong support for Hypothesis 1. Thus, the NE Context is related to a significantly lower level of bank debt in firms where critical mass is present and externally perceived. This effect is also evident in Fig. 3, Model 1, where NE Context (NEC) alone has no effect on the dependent variable, but there is a clear negative effect when NEC interacts with Critical Mass (CM). The same result is reported in Model 2, and the coefficient of the interaction term is negative and significant at p < 0.10. Our results suggest that due to the stereotyped view of lenders (i.e., supply-side), in a non-egalitarian context, there is a negative association between women on corporate boards and firms’ level of debt.
Model 2 reports the interaction effects of Critical Mass, Crisis, and NE Context. Regression results report a positive and significant coefficient (significant at p < 0.10), providing support for Hypothesis 2. Thus, the non-egalitarian context is related to a significantly higher level of bank debt for firms in crisis where critical mass is present. This effect is evident in Fig. 3, Model 2. The line has a slightly negative slope since the interaction effect of Critical Mass, Crisis, and NE Context only partially compensates for the negative effect of the two-way interactions Critical Mass × Crisis and Critical Mass × NE Context. Due to the stereotyped view of lenders (i.e., supply-side), during a corporate crisis, the negative association between women on corporate boards and firms’ debt financing is mitigated when the context is non-egalitarian.
The control variables also yield interesting results. Experience is negative and significant in all models, with at least p < 0.01. Firm size, both in terms of sales and number of members on the BoD, measured through the variables Size and BoD, does not impact any models. Family business has a positive and significant impact in all models (at p < 0.01). The variable measuring firm profitability has a negative impact in all models (at p < 0.01), while the value added is not significantly different from zero in any model. The presence of bonds positively impacts the level of bank debt (at least at p < 0.10 in all models). Tangibility is also positive and significantly different from zero at p < 0.01 in all models. Innovation and Internationalisation have no impact in any model. The same is true for listed firms. Some of the coefficients associated with the industry dummies are significantly different from zero in all models.
4.4 Robustness check
In order to check whether taking the two variables, Token and Critical Mass, together in the same regression has the potential problem of inducing multicollinearity and biasing of the results, we made the estimates taking the variable Token out of the regressions. The results were the same when we took Token out.
As we do not know precisely when women joined the firm´s boards, we made robustness checks on a subsample by trying different time lags on the dependent variable (i.e., 2019 and 2020). We found that the results were substantially the same. Furthermore, we randomly checked the presence of women on the board in 2015, 2016, and 2017, and we found that the women presence was stable during these years.
As a last robustness test, and following Amore et al. (2014), we also estimated the regression by employing a dummy variable equal to one when the firm was located in the South of Italy (otherwise, the variable was zero) as an alternative measure of the non-egalitarian context. Again, the results were the same.Footnote 6
5 Discussion
Investigating if and how the existence of a gender-based prejudice on the supply side creates an obstacle to credit access is a fundamental issue in the management and governance literature since any dysfunction of the lending channel may negatively affect a firm’s growth and survival, their employees, and ultimately the whole economy (de Andrés et al., 2020).
Lenders are influenced by the social context in which they operate. We claim that gender social construction in egalitarian vs non-egalitarian contexts may reduce a firm’s access to credit. In this paper, we have made several contributions.
First, we advance the social construction theory through an empirical within-country analysis to better understand the social construction that may constrain or shape the phenomenon under investigation. In this sense, we contribute to the literature that analyses the relationship between gender discrimination and access to credit. To the best of our knowledge, there is no empirical evidence regarding this aspect, but we add to our understanding by adopting the theoretical lens of social construction theory. Lenders’ stereotyped views in a non-egalitarian context can explain the differences in firms’ access to external financial resources. In non-egalitarian contexts, as the presence of women on the board reaches the critical mass, there is a lower level of bank debt. Consequently, this research contributes to the social construction theory (Berger & Luckman, 1966) by refining the importance of the social and cultural context for lenders’ views on the presence of women on the board. This aspect is verified by considering both the number of women on the board (critical mass) and cases of corporate crisis.
Specifically, in a corporate crisis scenario, as a stereotyped effect, the presence of women on boards is viewed positively by the lenders, thus facilitating the women's access to credit.
Second, we add to the critical mass literature by identifying the external relevance of critical mass. The empirical analysis shows that the mere presence of a woman (i.e., tokenism) on the BoD does not have a statistically significant impact. This is because lenders do not consider their presence to be relevant. According to the lender’s stereotyped view, if women represent a tiny minority on the BoD, they are externally viewed simply as symbols. Conversely, if at least three women on the BoD (i.e., critical mass), they become externally visible and relevant to lenders. The specific context will consequently change the lender’s view toward firms according to the external relevance of critical mass.
To the best of our knowledge, this is the first study to explicitly address the external relevance of the critical mass of a board of directors. In the literature, the focus is generally on the composition of individual corporate boards, reflected through multiple theoretical lenses and empirical descriptions (Kirsch, 2018; Terjesen et al., 2009), and previous studies have always considered the internal relevance of the critical mass (see, e.g., Moreno-Gomez et al., 2018; Labelle et al., 2015; Öberg, 2021; Johnson et al., 2013; Torchia et al., 2011).
Third, gender studies have historically been rooted in “the West,” with the field basically “dominated by the work of US-American and Western European scholars, mono culturally infused and biased” (Klarsfeld et al., 2019). Our results suggest considering other national contexts: cultural differences need to be deeply investigated. Other studies should be conducted within and across different nations to grasp the magnitude of the external effect of the presence of women on the board.
Therefore, this study identifies implications for practitioners and managers, and our findings are relevant to the ongoing debate over the governance of private unlisted and small and medium companies. This typology of firms is now increasingly affected by adopting “codes of good governance,” with detailed suggestions on how they should be governed to secure their survival and long-term success (ecoDa, 2010; Aguilera & Cuervo-Cazurro, 2009). We suggest that similar codes could be used on the one hand to promote women’s inclusion on boards of directors and, on the other, to help lenders move past their stereotypical views.
Many policymakers in governmental and international organisations argue that small firms have inadequate access to external finance due to market imperfections. We add that, although traditionally ignored by policy makers, the role of women on boards is another key issue that can limit access to credit (de Andrés et al., 2020).
Sustainable Development Goal 5 of the United Nations states that an effort must be made toward the real inclusion of women, educate the population, and take social actions that move toward an egalitarian society free of stereotypes. Notwithstanding capabilities and competencies being gender-neutral, they have been gender-stereotyped, and it is now time for that to change. These results suggest that a further variable to consider in public policy design is the specific kind of context (i.e., egalitarian or non-egalitarian) in which policies have to be introduced by controlling for the stereotypes that may reduce policies’ efficacy. Specifically, suppose target firms, which are needed to foster a sound and steady development path, have a critical mass of women on the board and are located in a non-egalitarian context. In that case, they may not receive sufficient external financing because of lenders’ aversion. Moreover, credit exclusion may signal the market, impacting access to other financing instruments and even to commercial credit.
Public policies aiming to foster development will be differently effective according to context to express this problem in different terms. Any public policy that fosters local economic growth by supporting women entrepreneurship should take the context into account to properly address any gender-based stereotyping. Inadequate access to external finance may affect economic growth and welfare: firms repeatedly point to a lack of external financing as a major obstacle to their investment. This study shows that a firm with women on the board may face a further obstacle if located in a non-egalitarian context. Limitation of access to credit may be detrimental for underdeveloped areas with fragmented industrial systems and lower income levels. It may hinder public policies' effectiveness to support their development and catching up. Accurate identification of target firms needing support is paramount to measure policy effectiveness properly and is even more challenging now, given that the scale of currently ongoing policies is unprecedented. In particular, we believe that in the same nation, the backwardness of one part of the economy leads to a reduction in national wealth and reduces the horizon for development. Instead, if that backward territory recovered the path of growth and approached the performance of the other parts, Italy would have the occasion to have a leading role in the world economy. Financial exclusion deserves policy action. Public policies are desirable not only for encouraging the presence of women on the board but also for aiming to overcome non-egalitarian culture, thus benefiting not only companies but the whole community.
The influence of stereotypes on lender’s views could be mitigated by a strong presence of women in the lending channel. However, empirical evidence suggests that gender disparity is still very present in banks, especially if one looks at them from the upper positions.Footnote 7
6 Conclusion
Ideally, all cultures aim for egalitarianism, described as the belief that all individuals are of equal worth and should be considered equally in society (Schwartz, 2001; Siegel et al., 2011), but evidence shows that this is not always the case. The research on the effect of managers’ traits on strategic decisions has significantly contributed to the stratification of stereotyped views of women that now influence how women are viewed. We have advanced the idea that this literature has nurtured the generation of a stereotyped view of women's attitudes compared to men attitudes. These stereotypes characterise the non-egalitarian context, influence lenders’ views, and potentially create barriers for women trying to access credit (Chatman & Flynn, 2001; Eagly & Karau, 2002). Scholars have argued that socially constructed stereotypes about gender and management limit women’s ability to accrue financial capital because loan officers apply different evaluation standards (Gatewood et al., 2003; Marlow & Patton, 2005). Furthermore, the literature suggests that glaring and persistent differences between men and women in power positions may be associated with gender characterisation (D’Allura et al., 2021; Carter et al., 2007; Greer & Green, 2003; Marlow, 2016). Our results add to this idea since lender’s gender-based stereotypes, present in non-egalitarian contexts, affect firms’ financial structures depending on the significant presence of women on boards (i.e., critical mass). This evidence changes the perspective on the relationship between the presence of women on the board and firms’ strategic choices, development, and growth.
This study is not devoid of limitations. First, a general limitation in the quantitative research design could be addressed with a mixed-method approach. A possible further research development could include triangulation of data collected via a survey with database sources. The generalisability of quantitative analyses and the deeper understanding afforded by qualitative analyses can be combined to achieve a deeper insight into the supply side (Creswell & Plano Clark, 2018). The strengths of the quantitative and qualitative approaches can be combined, and the limitations overcome (Creswell, 2014).
A second limitation is observation time. If a firm already has a well-established financial strategy before the arrival of a woman director, empirical analysis based on indirect data may be unable to document any association between woman presence on the board and the financial structure. Future research could consider the period women have been on the board. Also, the roles the women hold and their power could also be investigated (e.g., CEO).
Social construction theory teaches us that it is impossible to gain freedom from biases by flipping completely from one side to the other, rejecting the ‘masculine’, and adopting only the ‘feminine’ trait. In this paper, we frame stereotypes as a social construction heavily dependent on the context in which a firm operates. Unfortunately, these stereotypes induce a prejudice against women on boards, which potentially creates barriers to a firm’s access to credit. We hope that our results inspire future efforts in this direction and a new era where competence will be free from stereotypes.
Notes
In literature, "female" has been broadly used as the adjective form of "woman." However, "female" means a biological category according to the anatomy, while a "woman" is an entire human person. Therefore, while "woman" is technically a noun, we suggest using it as an adjective to create a more inclusive meaning that emphasises gender over biological sex. Same for “man” and “male”. In literal quotations we have not altered the use of noun “woman”. The choice of words shape scientific knowledge, the questions asked, the results obtained and the interpretations made. Further, rethinking language also involves rethinking concepts and theories.
A lender is an individual, a public or private group, or a financial institution that makes funds available to someone with the expectation that they will be repaid. Lenders, as part of the social context, are influenced by the culture in which they operate.
Ahl and Nelson (2015) show the existence and consequence of gender as a social construct on academic work and national policy. Jennings and Brush (2013) propose in their Academy of Management Annals review that the discussion on entrepreneurship and management as a gendered phenomenon within a social constructionist perspective may be the greatest achievement of the now quite extensive literature on women management and entrepreneurship.
For a review on how differences in the role of women in society are context-specific refer to the seminal work of Ester Boserup (1970). She documented the case of the impact of different types of agricultural technology and inspired other research in this direction.
Experimental research in economics has stressed the importance of institutional factors related to context in explaining women's roles in firms as the output of perceived stereotypes. For instance, Gneezy et al. (2009) found that women compete more than men in a matriarchal society but that the opposite is true in a patriarchal society.
All the models are available upon request.
In Italy, although progress has been made in the last 20 years, and 48% of the nearly 300,000 employees in the credit sector are women, only one in six executives are women. If we look at management positions, only a third are women, while in the professional areas, almost two out of three workers are the least represented gender (FirstCisl, 2021). This data reinforces our concerns about stereotypes in the lender’s view of women’s presence on the board in Italy.
References
Agars, M. D. (2004). Reconsidering the impact of gender stereotypes on the advancement of women in organisations. Psychology of Women Quarterly, 28(2), 103–111. https://doi.org/10.1111/j.1471-6402.2004.00127.x
Aguilera, R. V., & Cuervo-Cazurra, A. (2009). Codes of good governance. Corporate Governance: An International Review, 17(3), 376–387. https://doi.org/10.1111/j.1467-8683.2009.00737.x
Ahl, H., & Nelson, T. (2015). How policy positions women entrepreneurs: A comparative analysis of state discourse in Sweden and the United States. Journal of Business Venturing, 30(2), 273–291. https://doi.org/10.1016/j.jbusvent.2014.08.002
Ahmed, A., & Atif, M. (2021). Board gender composition and debt financing. International Journal of Finance & Economics, 26(2), 3075–3092. https://doi.org/10.1002/ijfe.1951
Akhmetshin, E., Danchikov, E., Polyanskaya, T., Plaskova, N., Prodanova, N., & Zhiltsov, S. (2017). Analysis of innovation activity of enterprises in modern business environment. Journal of Advanced Research in Law and Economics, 8, 2311. https://doi.org/10.14505/jarle.v8.8(30).01
Alesina, A. F., Lotti, F., & Mistrulli, P. E. (2013). Do women pay more for credit? Evidence from Italy. Journal of the European Economic Association, 11(suppl_1), 45–66. https://doi.org/10.1111/j.1542-4774.2012.01100.x
Alsos, G. A., Ljunggren, E., & Hytti, U. (2013). Gender and innovation: State of the art and a research agenda. International Journal of Gender and Entrepreneurship, 5(3), 236–256. https://doi.org/10.1108/IJGE-06-2013-0049
Amore, M. D., Garofalo, O., & Minichilli, A. (2014). Gender interactions within the family firm. Management Science, 60(5), 1083–1097. https://doi.org/10.1287/mnsc.2013.1824
Anderson, R. C., & Reeb, D. M. (2003). Founding-family ownership and firm performance: Evidence from the S&P 500. The Journal of Finance, 58(3), 1301–1328. https://doi.org/10.1111/1540-6261.00567
Aristei, D., & Gallo, M. (2021). Are female-led firms disadvantaged in accessing bank credit? Evidence from transition economies. International Journal of Emerging Markets, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJOEM-03-2020-0286
Asch, S. E. (1951). Effects of group pressure upon the modification and distortion of judgments. In Groups, leadership and men; research in human relations (pp. 177–190). Carnegie Press.
Asch, S. E. (1955). Opinions and social pressure. Scientific American, 193(5), 31–35. https://doi.org/10.1038/scientificamerican1155-31
Awartani, B., Belkhir, M., Boubaker, S., & Maghyereh, A. (2016). Corporate debt maturity in the MENA region: Does institutional quality matter? International Review of Financial Analysis, 46, 309–325. https://doi.org/10.1016/j.irfa.2015.10.002
Banca d’Italia. (2014). Capitale sociale, economia, politica economica. 17. https://www.bancaditalia.it/pubblicazioni/collana-seminari-convegni/2014-0017/index.html
Bannò, M., Coller, G., & D’Allura, G. M. (2021). Family firms, women, and innovation. Sinergie Italian Journal of Management, 39(2), 59–74. https://doi.org/10.7433/s115.2021.04
Bannò, M., D’Allura, G., Dawson, A., Torchia, M., & Audretsch, D. (2020). Advancing diversity research in family business. Journal of Family Business Strategy. https://doi.org/10.1016/S1877-20)30095-4
Bannò, M., & Nicolardi, V. (2020). Women’s participation on Boards of Directors: The effects on business growth and profitability. Sinergie Italian Journal of Management, 38(1), 161–179. https://doi.org/10.7433/s111.2020.10
Bannò, M., & Trento, S. (2016). International expansion of family firms: The moderating role of successors and external managers. International Journal of Globalisation and Small Business, 8(4), 292–315.
Beck, T., Behr, P., & Madestam, A. (2018). Sex and credit: Do gender interactions matter for credit market outcomes? Journal of Banking & Finance, 87, 380–396. https://doi.org/10.1016/j.jbankfin.2017.10.018
Bellucci, A., Borisov, A., & Zazzaro, A. (2010). Does gender matter in bank–firm relationships? Evidence from small business lending. Journal of Banking & Finance, 34(12), 2968–2984. https://doi.org/10.1016/j.jbankfin.2010.07.008
Berger, P. L., & Luckmann, T. (1966). The social construction of reality: A treatise in the sociology of knowledge. Doubleday.
Bruckmüller, S., & Branscombe, N. R. (2010). The glass cliff: When and why women are selected as leaders in crisis contexts. British Journal of Social Psychology, 49(3), 433–451. https://doi.org/10.1348/014466609X466594
Bruni, A., Gherardi, S., & Poggio, B. (2004). Entrepreneur-mentality, gender and the study of women entrepreneurs. Journal of Organisational Change Management, 17(3), 256–268. https://doi.org/10.1108/09534810410538315
Brush, C., Edelman, L. F., Manolova, T., & Welter, F. (2019). A gendered look at entrepreneurship ecosystems. Small Business Economics, 53(2), 393–408. https://doi.org/10.1007/s11187-018-9992-9
Buratti, A., Cesaroni, F. M., & Sentuti, A. (2017). Does gender matter in strategies adopted to face the economic crisis? A comparison between men and women entrepreneurs. Entrepreneurship - Development Tendencies and Empirical Approach. https://doi.org/10.5772/intechopen.70292
Burgess, D., & Borgida, E. (1999). Who women are, who women should be: Descriptive and prescriptive gender stereotyping in sex discrimination. Psychology, Public Policy, and Law, 5(3), 665–692. https://doi.org/10.1037/1076-8971.5.3.665
Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125(3), 367–383. https://doi.org/10.1037/0033-2909.125.3.367
Calás, M. B., Smircich, L., & Bourne, K. A. (2009). Extending the boundaries: Reframing «Entrepreneurship as Social Change» through feminist perspectives. The Academy of Management Review, 34(3), 552–569.
Campbell, K., & Mínguez-Vera, A. (2008). Gender diversity in the boardroom and firm financial performance. Journal of Business Ethics, 83(3), 435–451. https://doi.org/10.1007/s10551-007-9630-y
Carbó, S., Humphrey, D., Maudos, J., & Molyneux, P. (2009). Cross-country comparisons of competition and pricing power in European banking. Journal of International Money and Finance, 28(1), 115–134. https://doi.org/10.1016/j.jimonfin.2008.06.005
Carloni, S. (2021, maggio 13). L’Italia è ancora troppo divisa tra Nord e Sud dal punto di vista economico e sociale. Agi. https://www.agi.it/economia/news/2021-05-13/italia-divisa-nord-sud-punto-vista-economico-sociale-12530693/
Carter, S., Shaw, E., Lam, W., & Wilson, F. (2007). Gender, entrepreneurship, and bank lending: The criteria and processes used by bank loan officers in assessing applications. Entrepreneurship Theory and Practice, 31(3), 427–444. https://doi.org/10.1111/j.1540-6520.2007.00181.x
Cesaroni, F. M., Sentuti, A., & Buratti, A. (2015). Same crisis, different strategies? Italian men and women entrepreneurs in front of the economic recession. Journal of Research in Gender Studies, 5(2), 205–231.
Charron, N., Lapuente, V., & Annoni, P. (2019). Measuring quality of government in EU regions across space and time. Papers in Regional Science, 98(5), 1925–1953. https://doi.org/10.1111/pirs.12437
Charron, N., Lapuente, V., & Bauhr, M. (2021). Sub-national Quality of Government in EU Member States: Presenting the 2021 European Quality of Government Index and its relationship with Covid-19 indicators. University of Gothenburg: The QoG Working Paper Series 2021:4. (Vol. 4). University of Gothenburg.
Chatman, J. A., & Flynn, F. J. (2001). The influence of demographic heterogeneity on the emergence and consequences of cooperative norms in work teams. The Academy of Management Journal, 44(5), 956–974. https://doi.org/10.2307/3069440
Chen, G., Crossland, C., & Huang, S. (2016). Female board representation and corporate acquisition intensity. Strategic Management Journal, 37(2), 303–313. https://doi.org/10.1002/smj.2323
CNDCEC. (2019). Crisi d’impresa gli indici dell’allerta. Consiglio Nazionale dei Dottori Commercialisti e degli Esperti Contabili.
Coleman, S. (2000). Access to capital and terms of credit: A comparison of men- and women-owned small businesses. Journal of Small Business Management, 38, 37–52.
Cook, A., & Glass, C. (2015). Diversity begets diversity? The effects of board composition on the appointment and success of women CEOs. Social Science Research, 53, 137–147. https://doi.org/10.1016/j.ssresearch.2015.05.009
Cowling, M., Marlow, S., & Liu, W. (2020). Gender and bank lending after the global financial crisis: Are women entrepreneurs safer bets? Small Business Economics, 55(4), 853–880. https://doi.org/10.1007/s11187-019-00168-3
Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4° Ed). SAGE Publications.
Creswell, J. W., & Clark, V. L. P. (2018). Designing and conducting mixed methods research (3° Ed). SAGE Publications.
Croson, R., & Gneezy, U. (2009). Gender differences in preferences. Journal of Economic Literature, 47(2), 448–474. https://doi.org/10.1257/jel.47.2.448
D’Allura, G. M., Bannò, M., Dawson, A., Torchia, M., & Cesaroni, F. M. (2021). Women in small and medium sized family firms: Theory and practice. Piccola Impresa / Small Business. https://doi.org/10.14596/pisb.3373
D’Amato, A. (2020). Capital structure, debt maturity, and financial crisis: Empirical evidence from SMEs. Small Business Economics, 55(4), 919–941. https://doi.org/10.1007/s11187-019-00165-6
Daily, C. M., & Dalton, D. R. (2003). Women in the boardroom: A business imperative. Journal of Business Strategy. https://doi.org/10.1108/jbs.2003.28824eaf.002
Dasgupta, N., & Asgari, S. (2004). Seeing is believing: Exposure to counterstereotypic women leaders and its effect on the malleability of automatic gender stereotyping. Journal of Experimental Social Psychology, 40, 642–658. https://doi.org/10.1016/j.jesp.2004.02.003
Datta, S., Doan, T., & Toscano, F. (2021). Top executive gender, board gender diversity, and financing decisions: Evidence from debt structure choice. Journal of Banking & Finance, 125, 106070. https://doi.org/10.1016/j.jbankfin.2021.106070
de Andrés, P., Gimeno, R., & Mateos de Cabo, R. (2020). The gender gap in bank credit access. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2020.101782
De Masi, S., Słomka-Gołębiowska, A., Becagli, C., & Paci, A. (2021). Toward sustainable corporate behavior: The effect of the critical mass of female directors on environmental, social, and governance disclosure. Business Strategy and the Environment, 30(4), 1865–1878. https://doi.org/10.1002/bse.2721
Degryse, H., Karapetyan, A., & Karmakar, S. (2021). To ask or not to ask? Bank capital requirements and loan collateralization. Journal of Financial Economics, 142(1), 239–260. https://doi.org/10.1016/j.jfineco.2021.05.017
Durkheim, E. (1964). The division of labour in society. Free Press (first published 1893).
Dwyer, P. D., Gilkeson, J. H., & List, J. (2002). Gender differences in revealed risk taking: Evidence from mutual fund investors. Economics Letters, 76(2), 151–158.
Eagly, A. H., & Karau, S. J. (2002). Role congruity theory of prejudice toward female leaders. Psychological Review, 109(3), 573–598. https://doi.org/10.1037/0033-295X.109.3.573
ecoDa. (2010). Corporate Governance Guidance and Principles for Unlisted Companies in Europe. ecoDA. https://ecgi.global/code/ecoda-corporate-governance-guidance-and-principles-unlisted-companies-europe
Ely, R., & Padavic, I. (2007). A feminist analysis of organisational research on sex differences. The Academy of Management Review, 32(4), 1121–1143. https://doi.org/10.2307/20159359
Erhardt, N. L., Werbel, J. D., & Shrader, C. B. (2003). Board of director diversity and firm financial performance. Corporate Governance: An International Review, 11(2), 102–111. https://doi.org/10.1111/1467-8683.00011
Esarey, J., & Chirillo, G. (2013). “Fairer sex” or purity myth? Corruption, gender, and institutional context. Politics & Gender, 9(4), 361–389. https://doi.org/10.1017/S1743923X13000378
Eurispes. (2021). 33° Rapporto Italia. PERCORSI DI RICERCA NELLA SOCIETÀ ITALIANA. https://eurispes.eu/news/risultati-del-rapporto-italia-2021/
Faccio, M., Marchica, M.-T., & Mura, R. (2016). CEO gender, corporate risk-taking, and the efficiency of capital allocation. Journal of Corporate Finance, 39, 193–209.
Fan, J. P. H., Titman, S., & Twite, G. (2012). An international comparison of capital structure and debt maturity choices. The Journal of Financial and Quantitative Analysis, 47(1), 23–56.
Fehr-Duda, H., De Gennaro, M., & Schubert, R. (2006). Gender, financial risk, and probability weights. Theory and Decision, 60(2–3), 283–313. https://doi.org/10.1007/s11238-005-4590-0
Fields, P. L., Fraser, D. R., & Subrahmanyam, A. (2012). Board quality and the cost of debt capital: The case of bank loans. Journal of Banking & Finance, 36(5), 1536–1547. https://doi.org/10.1016/j.jbankfin.2011.12.016
FirstCisl. (2021). Banche, progressi sulla parità di genere, ma le donne sono ancora figlie di un dio minore. FIRST CISL. Recuperato 30 luglio 2021, da https://www.firstcisl.it/2021/03/banche-progressi-sulla-parita-di-genere-ma-le-donne-sono-ancora-figlie-di-un-dio-minore/
Fondas, N. (2000). Women on boards of directors: Gender bias or power threat? In R. J. Burke & M. C. Mattis (Eds.), Women on corporate boards of directors: International challenges and opportunities (pp. 171–177). Springer Netherlands. https://doi.org/10.1007/978-90-481-3401-4_12
Fuentelsaz, L., González, C., & Maicas, J. P. (2019). Formal institutions and opportunity entrepreneurship. The contingent role of informal institutions. BRQ Business Research Quarterly, 22(1), 5–24. https://doi.org/10.1016/j.brq.2018.06.002
Galli, E., Mascia, D. V., & Rossi, S. P. S. (2020). Bank credit constraints for women-led SMEs: Self-restraint or lender bias? European Financial Management, 26(4), 1147–1188. https://doi.org/10.1111/eufm.12255
Gatewood, E., Carter, N. M., Brush, C. G., Greene, P. G., & Hart, M. M. (2003). Women entrepreneurs, their ventures, and the venture capital industry: An annotated bibliography. https://www.hbs.edu/faculty/Pages/item.aspx?num=14747
Gneezy, U., Leonard, K. L., & List, J. A. (2009). Gender differences in competition: Evidence from a matrilineal and a patriarchal society. Econometrica, 77(5), 1637–1664. https://doi.org/10.3982/ECTA6690
Gonzalez, M., Guzmán, A., Trujillo, M.-A., & Pombo, C. (2011). Family firms and financial performance: The cost of growing. Social Science Research Network. https://doi.org/10.2139/ssrn.1639157
Gottardo, P., & Moisello, A. M. (2014). The capital structure choices of family firms: Evidence from Italian medium-large unlisted firms. Managerial Finance, 40(3), 254–275.
Grable, J. E. (2000). Financial risk tolerance and additional factors that affect risk taking in everyday money matters. Journal of Business and Psychology, 14(4), 625–630.
Greco, A. (2021, marzo 9). In banca la parità di genere è solo alla base: Appena una donna su 3 è quadro, una su 6 dirigente. la Repubblica. https://www.repubblica.it/economia/2021/03/09/news/in_banca_la_parita_di_genere_e_solo_alla_base_solo_una_donna_su_3_e_quadro_una_su_6_dirigente-290837474/
Greene, W. H. (2018). Econometric analysis (Global edition; 8th edition). Pearson Education Limited.
Greer, M., & Green, P. (2003). Feminist theory and the study of entprepreneurship. In J. Butler (Ed.), New perspectives on women entrepreneurs. IAP.
Hanel, P., & St-Pierre, A. (2002). Effects of R & D Spillovers on the profitability of firms. Review of Industrial Organisation, 20(4), 305–322. https://doi.org/10.1023/A:1015677626496
Harris, M., & Raviv, A. (1991). The theory of capital structure. The Journal of Finance, 46(1), 297–355. https://doi.org/10.1111/j.1540-6261.1991.tb03753.x
Haslam, S. A., & Ryan, M. K. (2008). The road to the glass cliff: Differences in the perceived suitability of men and women for leadership positions in succeeding and failing organizations. The Leadership Quarterly, 19(5), 530–546. https://doi.org/10.1016/j.leaqua.2008.07.011
Haynes, G. W., & Haynes, D. C. (1999). The debt structure of small businesses owned by women in 1987 and 1993. Journal of Small Business Management, 37(2), 1.
Heilman, M. E. (1997). Sex discrimination and the affirmative action remedy: The role of sex stereotypes. Journal of Business Ethics, 16(9), 877–889. https://doi.org/10.1023/A:1017927002761
Heilman, M. E., Wallen, A. S., Fuchs, D., & Tamkins, M. M. (2004). Penalties for success: Reactions to women who succeed at male gender-typed tasks. Journal of Applied Psychology, 89(3), 416–427. https://doi.org/10.1037/0021-9010.89.3.416
Hevia, C., & Neumeyer, A. (2020). A conceptual framework for analyzing the economic impact of COVID-19 and its policy implications.
Holder-Webb, L., & Sharma, D. S. (2010). The effect of governance on credit decisions and perceptions of reporting reliability. Behavioural Research in Accounting, 22(1), 1–20. https://doi.org/10.2308/bria.2010.22.1.1
Hölzl, W. (2014). Persistence, survival, and growth: A closer look at 20 years of fast-growing firms in Austria. Industrial and Corporate Change, 23(1), 199–231. https://doi.org/10.1093/icc/dtt054
Huang, J., & Kisgen, D. J. (2013). Gender and corporate finance: Are male executives overconfident relative to female executives? Journal of Financial Economics, 108(3), 822–839.
Javidan, M., Bullough, A., & Dibble, R. (2016). Mind the gap: Gender differences in global leadership self-efficacies. Academy of Management Perspectives, 30(1), 59–73. https://doi.org/10.5465/amp.2015.0035
Jennings, J. E., & Brush, C. G. (2013). Research on women entrepreneurs: Challenges to (and from) the broader entrepreneurship literature? Academy of Management Annals, 7(1), 663–715. https://doi.org/10.5465/19416520.2013.782190
Jianakoplos, N. A., & Bernasek, A. (1998). Are women more risk averse? Economic Inquiry, 36(4), 620–630. https://doi.org/10.1111/j.1465-7295.1998.tb01740.x
Joecks, J., Pull, K., & Vetter, K. (2013). Gender diversity in the boardroom and firm performance: What exactly constitutes a «Critical Mass?». Journal of Business Ethics, 118(1), 61–72.
Johnson, J. E. V., & Powell, P. L. (1994). Decision making, risk and gender: Are managers different? British Journal of Management, 5(2), 123–138. https://doi.org/10.1111/j.1467-8551.1994.tb00073.x
Johnson, S. G., Schnatterly, K., & Hill, A. D. (2013). Board composition beyond independence: Social capital, human capital, and demographics. Journal of Management, 39(1), 232–262. https://doi.org/10.1177/0149206312463938
Kafouros, M. I., Buckley, P. J., Sharp, J. A., & Wang, C. (2008). The role of internationalisation in explaining innovation performance. Technovation, 28(1), 63–74. https://doi.org/10.1016/j.technovation.2007.07.009
Karavitis, P., Kokas, S., & Tsoukas, S. (2021). Gender board diversity and the cost of bank loans. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2020.101804
Katila, R. (2000). Using patent data to measure innovation performance. International Journal of Business Performance Management, 2(1/2/3), 180–193.
Khan, W. A., & Vieito, J. P. (2013). Ceo gender and firm performance. Journal of Economics and Business, 67, 55–66. https://doi.org/10.1016/j.jeconbus.2013.01.003
Kirsch, A. (2018). The gender composition of corporate boards: A review and research agenda. The Leadership Quarterly, 29(2), 346–364. https://doi.org/10.1016/j.leaqua.2017.06.001
Klarsfeld, A., Knappert, L., Kornau, A., Ngunjiri, F. W., & Sieben, B. (2019). Diversity in under-researched countries: New empirical fields challenging old theories? Equality, Diversity and Inclusion: An International Journal, 38(7), 694–704. https://doi.org/10.1108/EDI-03-2019-0110
Koenig, A. M., Eagly, A. H., Mitchell, A. A., & Ristikari, T. (2011). Are leader stereotypes masculine? A meta-analysis of three research paradigms. Psychological Bulletin, 137(4), 616–642. https://doi.org/10.1037/a0023557
Konrad, A. M., Kramer, V., & Erkut, S. (2008). Critical mass: The impact of three or more women on corporate boards. Organisational Dynamics, 37(2), 145–164. https://doi.org/10.1016/j.orgdyn.2008.02.005
Kulich, C., & Ryan, M. K. (2017). The Glass Cliff. In C. Kulich & M. K. Ryan, Oxford Research Encyclopedia of Business and Management. Oxford University Press. https://doi.org/10.1093/acrefore/9780190224851.013.42
La Rocca, M., Neha, N., & La Rocca, T. (2020). Female management, overconfidence and debt maturity: European evidence. Journal of Management and Governance, 24(3), 713–747. https://doi.org/10.1007/s10997-019-09479-9
Labelle, R., Francoeur, C., & Lakhal, F. (2015). To regulate or not to regulate? Early evidence on the means used around the world to promote gender diversity in the boardroom. Gender, Work & Organisation, 22(4), 339–363. https://doi.org/10.1111/gwao.12091
Lee, J., & Tan, F. (2001). Growth of Chinese family enterprises in Singapore. Family Business Review, 14(1), 49–74. https://doi.org/10.1111/j.1741-6248.2001.00049.x
Littunen, H. (2000). Entrepreneurship and the characteristics of the entrepreneurial personality. International Journal of Entrepreneurial Behaviour & Research, 6(6), 295–310. https://doi.org/10.1108/13552550010362741
Mallin, C., & Brush, C. G. (2006). Growth-oriented women entrepreneurs and their businesses: A global research perspective. Edward Elgar Pub.
Mannarini, T., Manfreda, A., & Albanese, M. (2019). Stereotipi e metastereotipi di genere. Un confronto intergenerazionale nel contesto del Sud Italia. PSICOLOGIA DI COMUNITA’. https://doi.org/10.3280/PSC2019-002006
Mano-Negrin, R., & Sheaffer, Z. (2004). Are women “cooler” than men during crises? Exploring gender differences in perceiving organisational crisis preparedness proneness. Women in Management Review, 19(2), 109–122. https://doi.org/10.1108/09649420410525315
Mariotti, S., & Mutinelli, M. (2017). Italia multinazionale 2017: Le partecipazioni italiane all’estero ed estere in Italia. ICE.
Marlow, S. (2016). Women and self-employment: A part of or apart from theoretical construct? The International Journal of Entrepreneurship and Innovation. https://doi.org/10.5367/000000002101299088
Marlow, S., & Patton, D. (2005). All credit to men? Entrepreneurship, finance, and gender. Entrepreneurship Theory and Practice, 29(6), 717–735. https://doi.org/10.1111/j.1540-6520.2005.00105.x
Moreno-Gómez, J., Lafuente, E., & Vaillant, Y. (2018). Gender diversity in the board, women’s leadership and business performance. Gender in Management: An International Journal, 33(2), 104–122. https://doi.org/10.1108/GM-05-2017-0058
Moro, A., Wisniewski, T. P., & Mantovani, G. M. (2017). Does a manager’s gender matter when accessing credit? Evidence from European data. Journal of Banking & Finance, 80, 119–134. https://doi.org/10.1016/j.jbankfin.2017.04.009
Morris, M. H., Miyasaki, N. N., Watters, C. E., & Coombes, S. M. (2006). The dilemma of growth: Understanding venture size choices of women entrepreneurs. Journal of Small Business Management, 44(2), 221–244. https://doi.org/10.1111/j.1540-627X.2006.00165.x
Muravyev, A., Talavera, O., & Schäfer, D. (2009). Entrepreneurs’ gender and financial constraints: Evidence from international data. Journal of Comparative Economics, 37(2), 270–286. https://doi.org/10.1016/j.jce.2008.12.001
Muller-Kahle, M. I., & Lewellyn, K. B. (2011). Did board configuration matter? The case of US subprime lenders. Corporate Governance: An International Review, 19(5), 405–417. https://doi.org/10.1111/j.1467-8683.2011.00871.x
Nelson, J. A. (2020). Economics for (and by) humans. Review of Social Economy. https://doi.org/10.1080/00346764.2020.1792966
Nelson, T., & Constantinidis, C. (2017). Sex and gender in family business succession research: A review and forward agenda from a social construction perspective. Family Business Review, 30(3), 219–241. https://doi.org/10.1177/0894486517715390
Öberg, C. (2021). Women on board: The disregarded issue of board interlocks. Gender in Management: An International Journal, 36(1), 39–60. https://doi.org/10.1108/GM-11-2019-0225
Peiró-Palomino, J., Picazo-Tadeo, A. J., & Rios, V. (2020). Well-being in European regions: Does government quality matter? Papers in Regional Science, 99(3), 555–582. https://doi.org/10.1111/pirs.12494
Perry, E. L., Davis-Blake, A., & Kulik, C. T. (1994). Explaining gender-based selection decisions: A synthesis of contextual and cognitive approaches. The Academy of Management Review, 19(4), 786–820. https://doi.org/10.2307/258745
Post, C., & Byron, K. (2015). Women on boards and firm financial performance: A meta-analysis. Academy of Management Journal, 58(5), 1546–1571. https://doi.org/10.5465/amj.2013.0319
Pounder, J. S., & Coleman, M. (2002). Women—Better leaders than men? In general and educational management, it still “all depends.” Leadership & Organisation Development Journal, 23(3), 122–133. https://doi.org/10.1108/01437730210424066
Powell, G. N. (2018). Women and men in management. https://uk.sagepub.com/en-gb/eur/women-and-men-in-management/book258520
Powell, M., & Ansic, D. (1997). Gender differences in risk behaviour in financial decision-making: An experimental analysis. Journal of Economic Psychology, 18(6), 605–628. https://doi.org/10.1016/S0167-4870(97)00026-3
Rahaman, M. M., & Zaman, A. A. (2013). Management quality and the cost of debt: Does management matter to lenders? Journal of Banking & Finance, 37(3), 854–874. https://doi.org/10.1016/j.jbankfin.2012.10.011
Read, L. (1998). The financing of small business: A comparative study of male and female business owners. Routledge.
Ridgeway, C. (1991). The social construction of status value: Gender and other nominal characteristics. Social Forces, 70(2), 367–386. https://doi.org/10.1093/sf/70.2.367
Ridgeway, C. L., & Erickson, K. G. (2000). Creating and spreading status beliefs. American Journal of Sociology, 106(3), 579–615. https://doi.org/10.1086/318966
Riding, A. L., & Swift, C. S. (1990). Women business owners and terms of credit: Some empirical findings of the Canadian experience. Journal of Business Venturing, 5(5), 327–340.
Robb, A. M., & Watson, J. (2012). Gender differences in firm performance: Evidence from new ventures in the United States. Journal of Business Venturing, 27(5), 544–558. https://doi.org/10.1016/j.jbusvent.2011.10.002
Ruble, D. N., & Martin, C. L. (1998). Gender development. In Handbook of child psychology: Social, emotional, and personality development (Vol. 3, 5th Ed., pp. 933–1016). Wiley.
Ruble, D. N., Martin, C. L., & Berenbaum, S. A. (2006). Gender development. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology—Volume Three: Social, emotional, and personality development (6th ed, pp. 858–932). Wiley.
Ryan, M. K., & Haslam, S. A. (2005). The glass cliff: Evidence that women are over-represented in precarious leadership positions. British Journal of Management, 16(2), 81–90. https://doi.org/10.1111/j.1467-8551.2005.00433.x
Ryan, M. K., Haslam, S. A., Morgenroth, T., Rink, F., Stoker, J., & Peters, K. (2016). Getting on top of the glass cliff: Reviewing a decade of evidence, explanations, and impact. The Leadership Quarterly, 27(3), 446–455. https://doi.org/10.1016/j.leaqua.2015.10.008
Ryan, M. K., & Haslam, S. A. (2007). The glass cliff: Exploring the dynamics surrounding the appointment of women to precarious leadership positions. Academy of Management Review, 32(2), 549–572. https://doi.org/10.5465/amr.2007.24351856
Ryan, M. K., Haslam, S. A., Hersby, M. D., & Bongiorno, R. (2011). Think crisis–think female: The glass cliff and contextual variation in the think manager–think male stereotype. Journal of Applied Psychology, 96(3), 470. https://doi.org/10.1037/a0022133
Sarri, K., & Trihopoulou, A. (2005). Female entrepreneurs’ personal characteristics and motivation: A review of the Greek situation. Women in Management Review, 20(1), 24–36. https://doi.org/10.1108/09649420510579559
Schein, V. E. (2001). A global look at psychological barriers to women’s progress in management. Journal of Social Issues, 57(4), 675–688. https://doi.org/10.1111/0022-4537.00235
Schmitt, D. P., Realo, A., Voracek, M., & Allik, J. (2008). Why can’t a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures. Journal of Personality and Social Psychology, 94(1), 168–182. https://doi.org/10.1037/0022-3514.94.1.168
Schwartz, N. (2001). Egalitarianism. In S. M. Lipset (Ed.), Political philosophy: Theories, thinkers, concepts (pp. 64–71). CQ Press.
Siegel, J. I., Licht, A. N., & Schwartz, S. H. (2011). Egalitarianism and international investment. Journal of Financial Economics, 102(3), 621–642. https://doi.org/10.1016/j.jfineco.2011.05.010
Sila, V., Gonzalez, A., & Hagendorff, J. (2016). Women on board: Does boardroom gender diversity affect firm risk? Journal of Corporate Finance, 36, 26–53.
Sinani, E., Stafsudd, A., Thomsen, S., Edling, C., & Randøy, T. (2008). Corporate governance in Scandinavia: Comparing networks and formal institutions. European Management Review, 5(1), 27–40. https://doi.org/10.1057/emr.2008.1
Singh, V., & Vinnicombe, S. (2004). Why so few women directors in top UK boardrooms? Evidence and theoretical explanations. Corporate Governance: An International Review, 12(4), 479–488. https://doi.org/10.1111/j.1467-8683.2004.00388.x
Sjöberg, L., & Engelberg, E. (2009). Attitudes to economic risk taking, sensation seeking and values of business students specializing in finance. Journal of Behavioural Finance, 10(1), 33–43. https://doi.org/10.1080/15427560902728712
Sonfield, M., Lussier, R., Corman, J., & Mckinney, M. (2001). Gender comparisons in strategic decision-making: An empirical analysis of the entrepreneurial strategy matrix. Journal of Small Business Management, 39(2), 165–173. https://doi.org/10.1111/1540-627X.00015
Tanford, S., & Penrod, S. (1984). Social Influence Model: A formal integration of research on majority and minority influence processes. Psychological Bulletin, 95(2), 189–225. https://doi.org/10.1037/0033-2909.95.2.189
Teodósio, J., Vieira, E., & Madaleno, M. (2021). Gender diversity and corporate risk-taking: A literature review. Managerial Finance, 47(7), 1038–1073. https://doi.org/10.1108/MF-11-2019-0555
Terjesen, S., Sealy, R., & Singh, V. (2009). Women directors on corporate boards: A review and research agenda. Corporate Governance: An International Review, 17(3), 320–337. https://doi.org/10.1111/j.1467-8683.2009.00742.x
Torchia, M., Calabrò, A., & Huse, M. (2011). Women directors on corporate boards: From tokenism to critical mass. Journal of Business Ethics, 102(2), 299–317. https://doi.org/10.1007/s10551-011-0815-z
Tran, Q. T. (2021). Foreign ownership and cost of debt financing: Evidence from an emerging market. International Journal of Emerging Markets, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJOEM-09-2019-0750
Treichel, M. Z., & Scott, J. A. (2006). Women-Owned businesses and access to bank credit: Evidence from three surveys since 1987. Venture Capital, 8(1), 51–67. https://doi.org/10.1080/13691060500453726
Verheul, I., & Thurik, R. (2001). Start-up capital: «Does gender matter?» Small Business Economics, 16(4), 329–346. https://doi.org/10.1023/A:1011178629240
Vermoesen, V., Deloof, M., & Laveren, E. (2013). Long-term debt maturity and financing constraints of SMEs during the Global Financial Crisis. Small Business Economics, 41(2), 433–448. https://doi.org/10.1007/s11187-012-9435-y
Villalonga, B., & Amit, R. (2006). How do family ownership, control and management affect firm value? Journal of Financial Economics, 80(2), 385–417. https://doi.org/10.1016/j.jfineco.2004.12.005
Villano, P., & Passini, S. (2018). Competent in the North, passionate in the South: Stereotypes and prejudices between northern and southern Italy. Psicologia Sociale, 13(2), 91–105.
Watson, J., & Robinson, S. (2003). Adjusting for risk in comparing the performances of male- and female-controlled SMEs. Journal of Business Venturing, 18(6), 773–788. https://doi.org/10.1016/S0883-9026(02)00128-3
West, C., & Zimmerman, D. H. (1987). Doing gender. Gender & Society, 1(2), 125–151. https://doi.org/10.1177/0891243287001002002
Westphal, J. D., & Milton, L. P. (2000). How experience and network ties affect the influence of demographic minorities on corporate boards. Administrative Science Quarterly, 45(2), 366. https://doi.org/10.2307/2667075
Wood, W., & Eagly, A. (2002). A cross-cultural analysis of the behaviour of women and men: Implications for the origins of sex differences. Psychological Bulletin, 128, 699–727. https://doi.org/10.1037/0033-2909.128.5.699
Zaid, M. A. A., Wang, M., Abuhijleh, S. T. F., Issa, A., Saleh, M. W. A., & Ali, F. (2020). Corporate governance practices and capital structure decisions: The moderating effect of gender diversity. Corporate Governance: THe International Journal of Business in Society, 20(5), 939–964. https://doi.org/10.1108/CG-11-2019-0343
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Open access funding provided by Università degli Studi di Brescia within the CRUI-CARE Agreement. Funding was provided by PRD University of Brescia. This work was financially supported by the research unit on Governance, Competitiveness and Public Policy (UIDB/04058/2020)+(UIDP/04058/2020), funded by national funds through FCT - Fundação para a Ciência e a Tecnologia.
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Bannò, M., D’Allura, G.M., Coller, G. et al. Men are from Mars, women are from Venus: on lenders’ stereotypical views and the implications for a firm’s debt. J Manag Gov 27, 651–687 (2023). https://doi.org/10.1007/s10997-022-09641-w
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DOI: https://doi.org/10.1007/s10997-022-09641-w