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Mezzanine momentum: A cross continental examination of corporate financing trends

100%
Ghosh P., Golder U., Rahman M. S., Rumaly N.
Journal of Economics and Management
|
2024
|
vol. 46
387-423
EN
Aim/purpose – Aside from conventional debt financing, mezzanine debt funding is an essential, nontraditional, and innovative instrument for financing a corporation. Nonetheless, the use and discussions on this particular type of financing are still limited. This study aims to investigate the nature and patterns of mezzanine debt financing and agreements at the global and regional levels, seeking to understand the trends and differences in its funding flows and deal movements across various continents so that businesses looking to grow abroad might use this analysis to identify places where mezzanine finance is more accessible or advantageous. Moreover, investors can select the most appealing markets and conditions for mezzanine investments, thus improving their portfolios. Design/methodology/approach – Using seven global regions (e.g., Asia, Africa, Europe, Middle East, North America, Oceania, and rest of the world (RoW)) annual data from 2006 to 2023, this study employs descriptive analysis and applies the one-way between groups ANOVA. Findings – The findings show notable differences in the flows of mezzanine debt fundings and deals across different geographical locations globally. Besides, it also explores that mezzanine debt financing and agreements in North America and Europe make up most of the contributions, while other regions are still at the early stage of development. Research implications – Policymakers and governments in regions like Asia, Africa, the Middle East, Oceania, and the RoW should look into ways to increase the flow and growth of their agreements because the patterns and trends of funding and deals in those regions are considerably lower than North America and Europe. Originality/value/contribution – The literature on mezzanine debt mainly addresses its definition, features, facilities, disadvantages, and possible borrowers. This study investigates the recent pattern and trend of mezzanine debt funding and its deals globally based on different geographical locations.
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Corporate investment in artificial intelligence: The role of GDP, ICT exports, and patents

100%
Rahman M. S., Golder U., Ghosh P.
Journal of Economics and Management
|
2024
|
vol. 46
613-636
EN
Aim/purpose – Despite the widespread use of artificial intelligence (AI) in fields as diverse as finance, healthcare, and education, little is known about the factors motivating its financing. This study investigates the drivers influencing corporate investment in AI using global data from 2013 to 2022, focusing on the relationship between GDP growth, ICT goods exports, AI patent applications (AIPA), and regulatory quality with corporate AI investments. Design/methodology/approach – Descriptive statistics and the ordinary least squares method were employed to analyze aggregated global data, identifying patterns and relationships among the factors influencing corporate AI investment. Findings – The findings reveal a significant positive relationship between GDP growth, ICT goods exports, AIPA, and corporate AI investments. Conversely, the relationship between corporate AI investment and regulatory quality was negative but not statistically significant. Thus, the key findings of our study suggest that economic growth, AI patents, and technological advancements are key drivers of corporate AI investment. Research implications – The study suggests policymakers should prioritize national economic growth, enhance the IT ecosystem by promoting ICT goods exports, and encourage innovation through AI patents. Collaboration with legislators is essential to develop balanced AI regulations that minimize negative impacts on corporate AI financing. By strategically aligning AI investments with favorable economic conditions, businesses can drive sustainable growth, respond to evolving market demands effectively, and secure long-term financial stability. Originality/value/contribution – The existing literature contains information about the current state and the potential of corporate AI investment for the economic development of the world and a specific nation. This study tries to explore the key determinants influencing corporate AI investment to obtain a comprehensive understanding of this industry for economic growth.
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