國立高雄大學圖資館 |

Tax avoidance researchexploring networks and dynamics of global academic collaboration /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tax avoidance researchby Antonio De Vito, Francesco Grossetti.
其他題名:	exploring networks and dynamics of global academic collaboration /
作者:	De Vito, Antonio.
其他作者:	Grossetti, Francesco.
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xiv, 175 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Tax planning.
電子資源:	https://doi.org/10.1007/978-3-031-51765-5
ISBN:	9783031517655$q(electronic bk.)

Tax avoidance researchexploring networks and dynamics of global academic collaboration /
De Vito, Antonio.

Tax avoidance researchexploring networks and dynamics of global academic collaboration /[electronic resource] :by Antonio De Vito, Francesco Grossetti. - Cham :Springer Nature Switzerland :2024. - xiv, 175 p. :ill. (some col.), digital ;24 cm. - SIDREA series in accounting and business administration,2662-9887. - SIDREA series in accounting and business administration..

Introduction -- Exploring Tax Avoidance: A Synthesis of the Literature -- Network Analysis: A Mathematical Framework -- Networks of Tax Avoidance Research -- Conclusion.

This book explores the intricate realm of tax avoidance, synthesizing existing empirical literature in the field. The work starts by exploring the theoretical underpinnings of tax avoidance, dissecting its unique features compared to tax evasion. It delves into measurement methodologies and dissects the determinants contributing to its prevalence. Moreover, it analyzes the economic consequences of tax avoidance, emphasizing its impact on critical accounting issues, including financial reporting transparency, cost of capital, and firm value. Next, the book offers a foundational understanding of graph theory, unveiling the core elements of networks, such as nodes and edges. The book covers the theoretical fundamentals and addresses the practical side of constructing networks based on real-world relational systems. It emphasizes the importance of effective data collection and representation methods and underscores the importance of optimizing network layouts for enhanced visual representation. Using network analysis, the book further offers a deep dive into empirical studies on tax avoidance over the past two decades, revealing insights into the collaborative nature of this stream of research. Finally, the book summarizes the key insights of the network analysis on tax avoidance. It underscores the dynamic nature of individual authors' roles and affiliations, shedding light on the collaborative dynamics within institutions.

ISBN: 9783031517655$q(electronic bk.)

Standard No.: 10.1007/978-3-031-51765-5doiSubjects--Topical Terms:

174687
Tax planning.

LC Class. No.: HJ2321

Dewey Class. No.: 336.2

Tax avoidance researchexploring networks and dynamics of global academic collaboration /
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