Does boardroom gender diversity decrease credit risk in the financial sector? Worldwide evidence

Kinateder, Harald; Choudhury, Tonmoy; Zaman, Rashid; Scagnelli, Simone Domenico; Sohel, Nurul Islam

doi:10.1016/j.intfin.2021.101347

Cited by 59 publications

(47 citation statements)

References 78 publications

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“…The first explanation, employing the homophily theory, shows that family women directors associate themselves with other women based on gender characteristics. Thus, in line with empirical research on the critical mass of women on boards (at least three women; for details, see De Masi, Słomka‐Gołębiowska, Becagli, et al, 2021; Dobija et al, 2021; Kinateder et al, 2021), they tend to collaborate with other women and create allies when they make up a sufficient number on the board (Birindelli et al, 2019; Cook & Glass, 2017). The alternative explanation is based on self‐construal theory (Markus & Kitayama, 1991), which argues that women have interdependent self‐construal and their motivation to act is the need to fulfill their roles within certain important relationships (Campopiano et al, 2019; Cross et al, 2011; Peake et al, 2017).…”

Section: Introductionmentioning

confidence: 80%

“…When the number of women reaches three, they become able to affect the board's decisions. Asch's conformity experiments (Asch, 1951) and empirical research on the context of boards (De Masi, Słomka‐Gołębiowska, & Paci, 2021; Kinateder et al, 2021; Schwartz‐Ziv, 2017; You, 2021) demonstrate that three people, compared with two people, influence the group outcomes because, when there are three women, they feel more confident about raising issues and voicing their opinions. They obtain trust and, hence, are able to influence board decisions (De Masi, Słomka‐Gołębiowska, Becagli, et al, 2021; Dobija et al, 2021).…”

Section: Literature Review Theoretical Framework and Hypothesis Devel...mentioning

confidence: 99%

“…Driving a company towards green and more sustainable behavior might give them more visibility. Differentiating women according to their nomination background might bring clarity to the inconclusive debate about women on boards, gender quotas, and financial as well as non‐financial performance (Kinateder et al, 2021; Nguyen et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Women on boards and corporate environmental performance in Italian companies: The importance of nomination background

Masi

Słomka‐Gołębiowska

Paci

2022

Business Ethics Env & Resp

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In recent years, environmental protection and the green revolution have been at the top of the political agenda of many countries, especially those with female leaders. In Europe, for example, Ursula von Leiden and Christina Lagard are determined to pursue the green transition to meet the climate change mitigation goals. In the United States, in an interview with Forbes magazine, U.S. Representative Barbara Lee said, "Women understand the importance of compassion, communication and reason. They bring a perspective and a voice that is too often overlooked and underrepresented, and yet they continue to unabashedly advocate for their families, communities and countries" (Zalis, 2020). This stylized evidence has reheated the debate on the importance of female traits in defining the future for businesses, especially with regard to the environmental agenda. Policy makers' increasing attention to better protection of

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Section: Introductionmentioning

confidence: 80%

Section: Literature Review Theoretical Framework and Hypothesis Devel...mentioning

confidence: 99%

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Women on boards and corporate environmental performance in Italian companies: The importance of nomination background

Masi

Słomka‐Gołębiowska

Paci

2022

Business Ethics Env & Resp

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“…Empirical evidence suggest that women show greater sensitivity towards ethical issues and are more caring of the needs of other people (Carlson, 1972; Ibrahim et al, 2009; Nadeem, 2020a). Consequently, these traits lead female directors to comply more with a code of ethics than their male counterparts (Ibrahim et al, 2009); to engage less frequently in unethical conduct, such as securities fraud, earnings management and tax avoidance (Cumming et al, 2015; Lanis et al, 2017); to better manage and mitigate financial credit risks (Kinateder et al, 2021); to voluntary disclose environmental information (Tingbani et al, 2020) and to promote corporate sustainable practices and green innovation (Lu & Herremans, 2019; Nadeem et al, 2017; Nadeem, Bahadar, et al, 2020).…”

Section: Literature and Theorymentioning

confidence: 99%

Biodiversity disclosure, sustainable development and environmental initiatives: Does board gender diversity matter?

2021

Self Cite

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Modern-day corporations are under intense stakeholder pressure to incorporate environmentalism, particularly biodiversity initiatives, into their business strategy.Building on upper echelon and gender socialization theories, we investigate the effect of board gender diversity (BGD) on the biodiversity initiatives undertaken by firms for the restoration and rehabilitation of damaged ecosystems and/or to minimize their environmental impacts. Using data on 2406 US firms covered in the ASSET4 database for the period 2002-2018 (15,337 firm-year observations), we document a significant positive association between BGD and both biodiversity restoration protection and impact reduction initiatives. Our findings are consistent for exploitative and nonexploitative industries, as well as for the pre-and post-UN resolution on conservation of biodiversity periods. We further develop a causal relationship through the positive impact of BGD on management environment training and environmental partnerships-possible mechanisms by which BGD may impact biodiversity initiatives. The results suggest that BGD is vital for developing strategies concerning the restoration, protection and impact reduction of biodiversity and ecosystems. Our findings are of interest to legislators and regulators who are interested in assessing biodiversity initiatives, improving environmental policies and promoting gender diversity in company director boards.

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“…However, it has been understood as a specialised form of data mining to extract information and discover knowledge from vast amounts of unstructured textual data (Cheerkoot-Jalim and Khedo, 2020; Jiang et al , 2014; Justicia De La Torre et al , 2018; Usai et al , 2018). Researchers have used data mining in the area of computer science (Liu, 2012; Tsoumakas and Katakis, 2007), engineering (Hu and Liu, 2004; Medhat et al , 2014), mathematics (Berry et al , 2007; Zhao et al , 2011), social sciences (Goh et al , 2013; Liu, 2012), business and economics (Choudhury et al , 2020; Hudaefi and Badeges, 2021; Kinateder et al , 2021).…”

Section: Methodsmentioning

confidence: 99%

Mining netizen’s opinion on cryptocurrency: sentiment analysis of Twitter data

Hassan

Hudaefi

Caraka

2021

SEF

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Purpose This paper aims to explore netizen’s opinions on cryptocurrency under the lens of emotion theory and lexicon sentiments analysis via machine learning. Design/methodology/approach An automated Web-scrapping via RStudio is performed to collect the data of 15,000 tweets on cryptocurrency. Sentiment lexicon analysis is done via machine learning to evaluate the emotion score of the sample. The types of emotion tested are anger, anticipation, disgust, fear, joy, sadness, surprise, trust and the two primary sentiments, i.e. negative and positive. Findings The supervised machine learning discovers a total score of 53,077 sentiments from the sampled 15,000 tweets. This score is from the artificial intelligence evaluation of eight emotions, i.e. anger (2%), anticipation (18%), disgust (1%), fear (3%), joy (15%), sadness (3%), surprise (7%), trust (15%) and the two sentiments, i.e. negative (4%) and positive (33%). The result indicates that the sample primarily contains positive sentiments. This finding is theoretically significant to measure the emotion theory on the sampled tweets that can best explain the social implications of the cryptocurrency phenomenon. Research limitations/implications This work is limited to evaluate the sampled tweets’ sentiment scores to explain the social implication of cryptocurrency. Practical implications The finding is necessary to explain the recent phenomenon of cryptocurrency. The positive sentiment may describe the increase in investment in the decentralised finance market. Meanwhile, the anticipation emotion may illustrate the public’s reaction to the bubble prices of cryptocurrencies. Social implications Previous studies find that the social signals, e.g. word-of-mouth, netizens’ opinions, among others, affect the cryptocurrencies’ movement prices. This paper helps explain the social implications of such dynamic of pricing via sentiment analysis. Originality/value This study contributes to theoretically explain the implications of the cryptocurrency phenomenon under the emotion theory. Specifically, this study shows how supervised machine learning can measure the emotion theory from data tweets to explain the implications of cryptocurrencies.

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Does boardroom gender diversity decrease credit risk in the financial sector? Worldwide evidence

Cited by 59 publications

References 78 publications

Women on boards and corporate environmental performance in Italian companies: The importance of nomination background

Women on boards and corporate environmental performance in Italian companies: The importance of nomination background

Biodiversity disclosure, sustainable development and environmental initiatives: Does board gender diversity matter?

Mining netizen’s opinion on cryptocurrency: sentiment analysis of Twitter data

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