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We investigate the relationship between gender diversity on corporate boards and environmental performances of firms. Our central focus is the extent to which a country's economic status (developed, developing) can shape such a relationship. We find evidence that gender diversity is positively correlated to environmental performances of firms. Interestingly, this correlation is not only stronger in developing countries but also increasing in gender diversity. These findings have considerable importance in terms of policy.

Promotion of gender diversity in developing countries, where abatement costs are the lowest, would improve global environmental quality in a cost-effective way. This is best achieved through building institutions and strengthening them. The benefits of such policy go beyond developing countries frontiers, particularly when global environmental problems (pollution, global warming, ozone layer depletion, loss of biodiversity, etc.) are concerned. These benefits can be a leverage for an efficient implementation of the United Nations Sustainable Development Goals (UN-SDGs) both as gender diversity stands as a goal by itself and also because it facilitates achieving other environmental-related SDGs.

Women Entrepreneurship has received increasing attention over the past decade. In particular, a new area dealing with women entrepreneurs in the developing societies. The aim of this study is how is women entrepreneurship in developing economies? More specifically, we are excavating various questions at the individual and institutional level. The results of this study contribute to understanding the importance of the context on women entrepreneurs’ activities. Additionally, it systematically provides a comprehensive framework at multilevel analyses to cover all aspects of women entrepreneurship in developing countries. Ultimately, knowing women entrepreneurship in developing countries helps policymakers provide a firm ground for self-employment of women.

This paper explores the connection between capital structure and financial performance within European listed firms. The primary objective is to demonstrate an inverse U-shaped relationship between these two variables and pinpoint an optimal debt-equity mix.

In this study, we adopt a dynamic modeling approach to investigate the relationship between a firm’s capital structure and financial performance. Drawing on well-established theories and prior empirical studies, our model examines 3,121 dividend-paying firms from 41 European countries over 14 years, from 2008 to 2021. To enhance the reliability of our findings, we employ two distinct estimation techniques: the fixed effect model (FE) and the system generalized method of moments (System-GMM).

This study reveals an inverse U-shaped relationship between the firm’s financial performance, measured by the return on equity (ROE) and its capital structure (total liability to total assets ratio). Furthermore, an optimal capital structure of about 29% is determined for all firms in the sample, and about 21%, 28% and 41% industry-specific capital structure for manufacturing, real estate and wholesale trade, respectively.

This paper contributes to existing knowledge by empirically determining an optimal capital structure for listed firms across various industries in Europe, which very few studies have attempted to do in the past. An optimal capital structure is an invaluable benchmark for managers and other stakeholders, informing their decision-making.