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[null,null,"Autore",null,"De Vito Antonio <1938->"]
[null,null,"Titolo",null,"Tax Avoidance Research : Exploring Networks and Dynamics of Global Academic Collaboration / / by Antonio De Vito, Francesco Grossetti"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031517655"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (185 pages)"]
[null,null,"Collana",null,"SIDREA Series in Accounting and Business Administration, , 2662-9887"]
[null,null,"Disciplina",null,"343.04"]
[null,null,"Soggetti",null,"Accounting"]
[{"$nulls":4},"Business enterprises - Taxation"]
[{"$nulls":4},"Business tax - Law and legislation"]
[{"$nulls":4},"Business enterprises - Finance"]
[{"$nulls":4},"Social sciences - Mathematics"]
[{"$nulls":4},"Business Taxation and Tax Law"]
[{"$nulls":4},"Corporate Finance"]
[{"$nulls":4},"Mathematics in Business, Economics and Finance"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Introduction -- Exploring Tax Avoidance: A Synthesis of the Literature -- Network Analysis: A Mathematical Framework -- Networks of Tax Avoidance Research -- Conclusion."]
[null,null,null,"Sommario/riassunto","This book explores the intricate realm of tax avoidance, synthesizing existing empirical literature in the field. The work starts by exploring the theoretical underpinnings of tax avoidance, dissecting its unique features compared to tax evasion. It delves into measurement methodologies and dissects the determinants contributing to its prevalence. Moreover, it analyzes the economic consequences of tax avoidance, emphasizing its impact on critical accounting issues, including financial reporting transparency, cost of capital, and firm value. Next, the book offers a foundational understanding of graph theory, unveiling the core elements of networks, such as nodes and edges. The book covers the theoretical fundamentals and addresses the practical side of constructing networks based on real-world relational systems. It emphasizes the importance of effective data collection and representation methods and underscores the importance of optimizing network layouts for enhanced visual representation. Using network "]
[{"$nulls":4},"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."]