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Tax Haven Networks and the Role of the Big 4 Accountancy Firms
by
Chris Jones, Yama Temouri (Aston University)
& Alex Cobham (Tax Justice Network)
43rd AIB UK & Ireland Chapter Conference, Birkbeck, University of London, 7-9th April
Note: This paper is a work in progress, the results are preliminary.
Research Question & Motivation
The focus of this paper, is about investigating the extent to which tax haven networks
are utilised by MNEs by identifying a set of firm and country level factors that drive
this activity. More specifically we focus on the role of the Big 4 in relation to tax
avoidance.
• Panama Papers
• Zucman (2015) US tax avoidance = $130billion p.a.
• Facebook, Google, Amazon & Starbucks etc.
• BEPS (OECD, 2015)
• Set within the inequality context (Piketty, 2013) & the poor state
of OECD public finances
• Race to the Bottom – UK Corporate Tax to 17%! Patent Box!
• Lux. Leaks – symbiotic nature of the Big 4 in terms of tax
avoidance.
Theoretical Framework
• Jones & Temouri 2016 JWB paper
• Internalization Theory: Rugman (1981) CSA-FSA matrix
• Varieties of Capitalism (Hall & Soskice, 2001)
• Maydew & Shackleford (2005): Relationship between audit/tax consultancy
Testable Hypotheses
• H1. The extent of a MNEs network of tax haven subsidiaries
depends positively on the value of its intangible assets relative
to total assets.
• H2: MNEs audited by the Big4 Accounting Firms will utilise
tax haven subsidiaries to a greater extent in comparison to
MNEs who do not use these firms to file their accounts.
• H3: MNEs incorporated in Liberal Market Economies will
utilise tax haven subsidiaries to a greater extent in comparison
to MNEs from Coordinated Market Economies.
Econometric Model
• Random Effects Negative Binomial Count Model
• Panel Model with i (firm) and t (time) variation
• Variable lagged to partially control for endogeneity
• Sample only includes firms who do Tax Haven FDI
• Dependent Variable = Number of Tax Haven Subs
• IATA = Intangible Assets/Total Assets
• VOC = Varieties of Capitalism Dummy: 1=LME; 0=CME
• Big4 = MNE utilizes a Big 4 auditor
• X = Vector of firm-specific characteristics i.e. Turnover, Age, Number of
non tax haven subsidiaries.
Data
• ORBIS firm-level data Bureau van Dijk
• Data from 12 OECD countries from between 2005-2013
• Every firm included which has at least 1 tax haven sub and >5
employees
• Work builds upon Jones & Temouri (2016)
• 5,912 MNEs; 3,259 (LME); 1,960 (CME)
• Unbalanced Panel: 24,781 obs.
• ORBIS includes info on an MNEs auditor
• Definitions of Tax Havens utilises the Tax Justice Network's
Financial Secrecy Index. (all the usual suspects are in there!)
Descriptive Statistics
Descriptive Statistics
Results
• Coefficients on the following slides should be interpreted as “incidence
rates”.
• Support found for all 3 hypotheses.
• Our key finding is that of those MNEs that utilise Big 4 auditors, the tax
haven incidence rate is 10-12% higher compared to those MNEs who do
not use them.
• Variation across the Big 4 – highest incidence rate MNEs who use PwC
• Incidence rate for LME MNEs is 47-49% higher than CME MNEs
• Of those firms that take on a Big 4 auditor the incidence rate is 20%
• Growth rate of tax haven subs is 2.9 times higher for MNEs that take on
a Big 4 auditor compared to MNEs who do not utilise a Big 4 Auditor.
• OLS Model
• Dep. Var. = Growth Rate in Tax Haven Subs.
• Sample only includes MNE’s who take on a Big 4 Auditor and MNEs who do not
use a Big 4 auditor at all.
Discussion & Conclusion
• Firm-specific and country specific factors drive the extent to
which MNEs use tax haven subs.
• High-tech, liberal market orientation increases the incidence
rate.
• Utilising a Big 4 auditor to “sign off the accounts” has an
impact.
• More research is needed to uncover the relationship between
Big 4 tax advice and a Big 4 Audits in relation to tax
avoidance.
• Does Sarbanes Oxley go far enough?
• Policy makers should further scrutinize the role of the Big 4 in
terms of tax avoidance.

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Tax Haven Networks and the Role of the Big 4 Accountancy Firms

  • 1. Tax Haven Networks and the Role of the Big 4 Accountancy Firms by Chris Jones, Yama Temouri (Aston University) & Alex Cobham (Tax Justice Network) 43rd AIB UK & Ireland Chapter Conference, Birkbeck, University of London, 7-9th April Note: This paper is a work in progress, the results are preliminary.
  • 2. Research Question & Motivation The focus of this paper, is about investigating the extent to which tax haven networks are utilised by MNEs by identifying a set of firm and country level factors that drive this activity. More specifically we focus on the role of the Big 4 in relation to tax avoidance. • Panama Papers • Zucman (2015) US tax avoidance = $130billion p.a. • Facebook, Google, Amazon & Starbucks etc. • BEPS (OECD, 2015) • Set within the inequality context (Piketty, 2013) & the poor state of OECD public finances • Race to the Bottom – UK Corporate Tax to 17%! Patent Box! • Lux. Leaks – symbiotic nature of the Big 4 in terms of tax avoidance.
  • 3. Theoretical Framework • Jones & Temouri 2016 JWB paper • Internalization Theory: Rugman (1981) CSA-FSA matrix • Varieties of Capitalism (Hall & Soskice, 2001) • Maydew & Shackleford (2005): Relationship between audit/tax consultancy
  • 4. Testable Hypotheses • H1. The extent of a MNEs network of tax haven subsidiaries depends positively on the value of its intangible assets relative to total assets. • H2: MNEs audited by the Big4 Accounting Firms will utilise tax haven subsidiaries to a greater extent in comparison to MNEs who do not use these firms to file their accounts. • H3: MNEs incorporated in Liberal Market Economies will utilise tax haven subsidiaries to a greater extent in comparison to MNEs from Coordinated Market Economies.
  • 5. Econometric Model • Random Effects Negative Binomial Count Model • Panel Model with i (firm) and t (time) variation • Variable lagged to partially control for endogeneity • Sample only includes firms who do Tax Haven FDI • Dependent Variable = Number of Tax Haven Subs • IATA = Intangible Assets/Total Assets • VOC = Varieties of Capitalism Dummy: 1=LME; 0=CME • Big4 = MNE utilizes a Big 4 auditor • X = Vector of firm-specific characteristics i.e. Turnover, Age, Number of non tax haven subsidiaries.
  • 6. Data • ORBIS firm-level data Bureau van Dijk • Data from 12 OECD countries from between 2005-2013 • Every firm included which has at least 1 tax haven sub and >5 employees • Work builds upon Jones & Temouri (2016) • 5,912 MNEs; 3,259 (LME); 1,960 (CME) • Unbalanced Panel: 24,781 obs. • ORBIS includes info on an MNEs auditor • Definitions of Tax Havens utilises the Tax Justice Network's Financial Secrecy Index. (all the usual suspects are in there!)
  • 9. Results • Coefficients on the following slides should be interpreted as “incidence rates”. • Support found for all 3 hypotheses. • Our key finding is that of those MNEs that utilise Big 4 auditors, the tax haven incidence rate is 10-12% higher compared to those MNEs who do not use them. • Variation across the Big 4 – highest incidence rate MNEs who use PwC • Incidence rate for LME MNEs is 47-49% higher than CME MNEs • Of those firms that take on a Big 4 auditor the incidence rate is 20% • Growth rate of tax haven subs is 2.9 times higher for MNEs that take on a Big 4 auditor compared to MNEs who do not utilise a Big 4 Auditor.
  • 10.
  • 11.
  • 12. • OLS Model • Dep. Var. = Growth Rate in Tax Haven Subs. • Sample only includes MNE’s who take on a Big 4 Auditor and MNEs who do not use a Big 4 auditor at all.
  • 13. Discussion & Conclusion • Firm-specific and country specific factors drive the extent to which MNEs use tax haven subs. • High-tech, liberal market orientation increases the incidence rate. • Utilising a Big 4 auditor to “sign off the accounts” has an impact. • More research is needed to uncover the relationship between Big 4 tax advice and a Big 4 Audits in relation to tax avoidance. • Does Sarbanes Oxley go far enough? • Policy makers should further scrutinize the role of the Big 4 in terms of tax avoidance.