scholarly journals Is Panama really your tax haven? Secrecy jurisdictions and the countries they harm

2021 ◽  
Author(s):  
Petr Janský ◽  
Markus Meinzer ◽  
Miroslav Palanský
Keyword(s):  
2017 ◽  
Vol 26 (2) ◽  
pp. 83-115
Author(s):  
Jong Kwon Ko ◽  
Hee Jin Park
Keyword(s):  

2015 ◽  
Vol 32 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Andres Knobel
Keyword(s):  

2021 ◽  
Author(s):  
Kelvin K. F. Law ◽  
Lillian Mills

Users of Exhibit 21 cannot tell whether a tax haven subsidiary is actively operating or a dormant shell company.  In this paper, we develop a new set of parsimonious measures to highlight the distinct mechanisms and tax effects of offshore sales to, as opposed to purchases from, tax haven countries, offering insights on the effects of certain types of offshoring activities on firms’ tax burdens.  Our main measure has about three times the effect of the mere existence of a haven subsidiary in explaining firms’ effective tax rates.  We detail the processes to predict the offshore activities in tax haven countries for firms without an Exhibit 21 and firms reporting no subsidiary operations in a tax haven country.  Relative to the mere mention of a tax haven subsidiary in Exhibit 21, our new measures provide a richer information set to capture different types of economic activities in tax haven countries.


2021 ◽  
pp. 001946622110360
Author(s):  
P. Vineeth ◽  
K. B. Nidheesh

The present study measures the role of firm-specific factors influencing the likelihood of establishing a subsidiary in tax haven countries. The panel data of Indian companies, which have business operations in foreign countries, are used for the study. The firm-level data for the period from 2007 to 2018 are analysed by using binary logistic regression model. The result shows that the intangible assets, long-term debt, number of subsidiaries and service sector dummy have significant and positive impact on tax haven operations of multinational companies, but the experience of the firm and return on equity are insignificant, and a firm’s size deters the likelihood of setting a tax haven subsidiary. The results also show that firms from high-technology manufacturing and knowledge-intensive sector have more influence on the likelihood of owning a tax haven subsidiary by Indian multinationals. JEL Codes: F21, F23, H25, H26


Author(s):  
Mihir A. Desai ◽  
C. Fritz Fritz Foley ◽  
James R. Hines Jr.
Keyword(s):  

2019 ◽  
Vol 7 (4) ◽  
pp. 103-111 ◽  
Author(s):  
Maria Konow-Lund

Over the past two decades, the practice of investigative journalism has been reconstructed via the rise of journalistic networks around the world that have layered collaboration atop what had long been an individual pursuit. Among the recent successes of collaborative investigative journalism was the cross-border effort to expose the tax haven leaks that included the Panama Papers (2016). Due to such notable accomplishments, research on cross-border collaboration is increasing, but the ways in which this pooling of resources, time, and networks has impacted practice on a daily basis remain under-investigated. This article looks at how organizations and actors in emerging and legacy newsrooms are negotiating their routines and roles while developing new practices in investigative journalism. It uses three organizations as cases: Bristol Cable, a journalistic co-op operating at the community/local level; the Bureau Local, a local/national data-coordinating news desk; and <em>The Guardian</em>, a legacy media company that has long operated at the national/global level. This article finds that, in the transitions of traditional organizations and journalists and the emergence of new innovative organizations and non-journalistic actors, actors involved in collaborative investigative journalism deploy a language of justification regarding rules between the new and the old. It also finds that concepts such as coordination are part of this negotiation, and that knowledge and knowledge generation are taking place within a traditional understanding of journalism, as the “new” is normalized over time.


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