Globalization and Tax Justicecatalunyaeuropa.net/desigualtats/admin/assets/uploads/...Probability to...
Transcript of Globalization and Tax Justicecatalunyaeuropa.net/desigualtats/admin/assets/uploads/...Probability to...
Globalization and Tax Justice
Gabriel Zucman(UC Berkeley)
October 2017
How can we make globalization and taxjustice compatible?
One of the most pressing policy questions of our time
Clear by now that globalization is makingredistribution harder
Policy response so far: protectionism and/or let’s allbecome tax havens (Brexit, Trump, race to bottom)
Another route is possible, but it requires: (i) a goodunderstanding of the issues, (ii) creative policies
Why globalization and tax justice areconflicting
Tax havens severely affect national tax policies:
Multinationals’ artificial profit-shifting
Rising personal tax avoidance and evasion
Internalizing this, gov’t cut capital taxes & top rates
Cuts need to be offset by ↑ taxes elsewhere / lessspending
→ Does globalization have a future if it means ever lowertaxes for the rich, and higher for the rest of us?
Multinationals’ Profit-Shifting
to Tax Havens
A growing fraction of global profits aremade abroad
0%
5%
10%
15%
20%
25%
30%
35%
1930-39 1940-49 1950-59 1960-69 1970-70 1980-89 1990-99 2000-09 2010-16
% o
f U.S
. cor
pora
te p
rofit
s
The share of profits made abroad in U.S. corporate profits
Notes: The figure reports decennial averages (e.g., 1970-79 is the average of 1970, 1971, ..., 1979). Foreign profits include dividends on foreign portfolio equities and income on US direct investment abroad (distributed and retained). Profits are net of interest payments, gross of US but net of foreign corporate income taxes. Source: author's computations using NIPA data, see Online Appendix.
63% of the foreign profits of USmultinationals are now made in havens
0%
10%
20%
30%
40%
50%
60%
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
2016
% o
f U.S
. cor
pora
te p
rofit
s m
ade
abro
ad
The share of tax havens in U.S. corporate profits made abroad
Singapore
Ireland
Netherlands
Luxembourg
Switzerland
Bermuda (and Caribbean)
Notes: This figure charts the share of income on U.S. direct investment abroad made in the main tax havens. In 2016, total income on U.S. DI abroad was about $450bn. 16% came from the Netherlands, 8% from Luxembourg, etc. Source: author's computations using balance of payments data, see Online Appendix.
The effective rate paid by US corporationshas been reduced by 1/3 since late 1990s
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
55%
1950-59 1960-69 1970-70 1980-89 1990-99 2000-09 2010-16
% o
f US
cor
pora
te p
rofit
s
Nominal and effective corporate tax rates on US corporate profits
Nominal U.S. federal rate
Effective rate paid to US government
Effective rate paid to US and foreign gov.
Notes: The figure reports decennial averages (e.g., 1970-79 is the average of 1970, 1971, ..., 1979). In 2010-2016, over $100 of corporate profits earned by US residents, on average $16 is paid in corporate taxes to the U.S. government (federal and States) and $4 to foreign governments. Source: author's computations using NIPA data, see Online Appendix.
Globally, 40% of multinationals’ profitsare artificially shifted to tax havens
0
100
200
300
400
500
600
700
Profits shifted to tax havens Non-EU tax havens EU tax havens
€ Bn. Global amount of profits artificially shifted to tax havens
Rest of OECD Developing countries US EU
Note: This figure illustrates the amount of tax base wrongfully allocated to tax havens in 2015, as well as the regions from which it originates. The total profits shifted to tax havens is estimated at 627 billion Euros. The size of mis-allocated tax base is equal to the estimated "Excess Profits" of the havens. The profts are allocated to the countries of origin, proportionally to the sum of high-risk service imports and FDI interest payments by partner countries. Foreign income is defined as income made by non-tax havens on investments abroad. The foreign income in 2015 was 1.4 trillion Euros.
The EU loses 20% of its corporate taxrevenue due to tax havens
0%
5%
10%
15%
20%
25%
30%
35%
German
y
France
Hunga
ry Ita
ly
EU22
United
King
dom
Spain
Swed
en
Austri
a
Finlan
d
Estonia
Denmark
Portu
gal
Polan
d
Latvia
Croati
a
Greece
Slove
nia
Lithua
nia
Czech
Rep
ublic
Roman
ia
Slova
kia
Bulgari
a
Lost corporate tax revenue as a share of current corporate tax revenue
Shifted to non-EU tax havens
Shifted to high risk EU countries
Corporate tax rate (avg. 2010-2015)
Note: This figure illustrates the amount of tax revenue lost per country as share of current total corporate tax revenue in 2015. The bars are split into the share lost to EU-havens and non-EU havens. The green line shows the top statutory tax rates of the countries. The tax losses are allocated using the share of high risk imports and interest paid to tax havens (Our benchmark scenario).
Offshore Wealth
A high and growing amount of personalwealth is held in tax havens
0%
2%
4%
6%
8%
10%
12%
14%
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
% o
f wor
ld G
DP
The global amount of household wealth in tax havens
Global offshore wealth (Our estimate)
Global offshore wealth (BCG)
Offshore wealth in Switzerland (Swiss National Bank)
From some countries, offshore wealth isas high as 50% of GDP
0%
10%
20%
30%
40%
50%
60%
70%
Kor
ea
Pol
and
Chi
na
Den
mar
k Fi
nlan
d Ja
pan
Indi
a N
orw
ay
Indo
nesi
a C
anad
a Ira
n S
wed
en
Net
herla
nds
Bra
zil
Aus
tralia
M
exic
o U
SA
Aus
tria
Thai
land
C
olom
bia
Irela
nd
Spa
in
Sou
th A
frica
Ita
ly
Rus
sia
Fran
ce
Ger
man
y U
K
Bel
gium
Tu
rkey
P
ortu
gal
Taiw
an
Gre
ece
Arg
entin
a R
ussi
a (N
EO
) S
audi
Ara
bia
Vene
zuel
a U
AE
Offshore wealth / GDP (All countries with GDP > $200 billion in 2007)
World average: 9.8%
Hidden wealth is extremely concentrated
0%
10%
20%
30%
40%
50%
60%
P0-50 P50-P90 P90-P99 P99-P99.9 P99.9-99.99 P.99.99-P100
% o
f tot
al re
cord
ed o
r hid
den
wea
lth
Position in the wealth distribution
Distribution of wealth: recorded vs. hidden
Hidden wealth disclosed in amnesty
Hidden wealth held at HSBC
All recorded wealth
Tax evasion is widespread among the verywealthy
0%
10%
20%
30%
P0-
10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
P99
-99.
5
P99
.5-9
9.9
P99
.9-P
99.9
5
P99
.95-
P99
.99
P99
.99-
P10
0
% o
f tax
es o
wed
Position in the wealth distribution
Taxes evaded, % of taxes owed (stratified random audits + leaks)
Average: 2.8%
Tax evasion makes the tax systemregressive at the top
25%
30%
35%
40%
45%
50% P
0-10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
�P99
-99.
5
P
99.5
-99.
9
P
99.9
-P99
.95
P
99.9
5-P
99.9
9
P
99.9
9-P
100
% o
f tax
able
inco
me
Position in the wealth distribution
Taxes paid vs. taxes owed
Taxes paid
Taxes owed
Because of offshore wealth, wesignificantly under-estimate inequality
0%
2%
4%
6%
8%
10%
12%
Spain UK Scandinavia France USA Russia
% o
f tot
al h
ouse
hold
wea
lth
The top 0.01% wealth share and its composition
Offshore wealth
All wealth excluding offshore
The Solutions
Despite recent policy initiatives, muchremains to be done to fight tax evasion
Automatic exchange of bank info is becoming globalstandard: big progress.
Three obstacles:
Incentives of offshore bankers
Financial opacity
Incentives of tax havens
⇓What is missing: well defined sanctions and a world
financial registry
We need a world financial register to fightfinancial opacity
The case for a world financial register
The companies Clearstream, Euroclear, etc. feed the world financial register. Tax authorities can verify that tax-payers indeed declare all the financial
securities included in the register
Despository Trust Corporation
(USA)
Clearstream (Luxembourg)
Euroclear France (France)
Other central securities depositories
& other sources
World financial register
U.S. tax authority
U.K. tax authority
French tax authority
Other tax administrations
Reforming the corporate tax
Formula apportionment
Works reasonably well for US States
Based on final sales to remove incentives to move realactivity
It’s the best way to levy taxes efficiently and fairly
Can be done unilaterally
But best done multilaterally as part of free tradeagreement (e.g., TTIP)
Supplementary Slides
The proba to have an unreported HSBCaccount rises sharply within the top 1%
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
P90-P95 [0.6 – 0.9]
P95-P99 [0.9 – 2.0]
P99-P99.5 [2.0 – 3.0]
P99.5-P99.9 [3.0 – 9.1]
P99.9-P99.95 [9.1 – 14.6]
P99.95-P99.99 [14.6 – 44.5]
Top 0.01% [> 44.5]
Net wealth group [millions of US$]
Probability to own an unreported HSBC account, by wealth group (HSBC leak)
HSBC evaders hide close to half of theirwealth at HSBC
0%
10%
20%
30%
40%
50%
P90-P95 [0.6 – 0.9]
P95-P99 [0.9 – 2.0]
P99-P99.5 [2.0 – 3.0]
P99.5-P99.9 [3.0 – 9.1]
P99.9-P99.95 [9.1 – 14.6]
P99.95-P99.99 [14.6 – 44.5]
Top 0.01% [> 44.5]
Net wealth group [millions of US$]
Average wealth hidden at HSBC, by wealth group (%oftotalwealth(includingheldatHSBC))
The Panama Papers confirm the sharpgradient in use of tax havens by wealth
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
1.2%
P90-P95 [0.6 – 0.8]
P95-P99 [0.8 – 1.8]
P99-P99.5 [1.8 – 2.7]
P99.5-P99.9 [2.7 – 8.1]
P99.9-P99.95 [8.1 – 13.3]
P99.95-P99.99 [13.3 – 41.4]
Top 0.01% [> 41.4]
Net wealth group [millions of US$]
Probability to appear in the "Panama Papers", by wealth group (Shareholders of shell companies created by Mossack Fonseca)
Amnesty data show widespread evasion atthe top
0%
2%
4%
6%
8%
10%
12%
14%
P90-P95 [0.6 – 0.8]
P95-P99 [0.8 – 1.8]
P99-P99.5 [1.8 – 2.7]
P99.5-P99.9 [2.7 – 8.1]
P99.9-P99.95 [8.1 – 13.3]
P99.95-P99.99 [13.3 – 41.4]
Top 0.01% [> 41.4]
Net wealth group [millions of US$]
Probability to voluntarily disclose hidden wealth, by wealth group (Swedish and Norwegian tax amnesties)
Even in countries with low total evasion,including hidden wealth ↑ inequality a lot
0%
1%
2%
3%
4%
5%
1930 1940 1950 1960 1970 1980 1990 2000 2010
Top 0.01% wealth share in Norway
Excluding hidden wealth
Including hidden wealth
Tax evasion on hidden wealth
0%
10%
20%
30%
40%
50%
P90
-95
P95
-99
P99
-99.
5
P99
.5-9
9.9
P99
.9-P
99.9
5
P99
.95-
P99
.99
P99
.99-
P10
0
% o
f tot
al ta
xes
owed
that
are
not
pai
d
Position in the wealth distribution
Offshore tax evasion, by wealth group
Lower-bound scenario
High scenario
Tax evasion detected in random audits
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0% P
0-10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
P99
-99.
5
P99
.5-1
00
% o
f tax
es o
wed
that
are
not
pai
d
Position in the wealth distribution
Taxes evaded, % of taxes owed (stratified random audits)
Macro average: 2.3%
Random audits detect a lot of errors ontax returns
0%
10%
20%
30%
40%
P0-
10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
P99
-99.
5
P99
.5-1
00
Position in the wealth distribution
Fraction of households evading taxes, by wealth group (stratified random audits)
But random audits fail to capturesophisticated evasion at the top
0%
5%
10%
15%
20%
25%
30% P
0-10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
P99
-99.
5
P99
.5-1
00
% o
f tot
al in
com
e (r
epor
ted
+ ev
aded
)
Position in the wealth distribution
Fraction of income undeclared, conditional on evading (stratified random audits)
Combining random audits and leaks
0%
5%
10%
15%
20%
25%
30% P
0-10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
P99
-99.
5
P99
.5-9
9.9
P99
.9-P
99.9
5
P99
.95-
P99
.99
P99
.99-
P10
0
% o
f tax
es o
wed
that
are
not
pai
d
Position in the wealth distribution
Taxes evaded, % of taxes owed
Offshore evasion (leaks)
Tax evasion other than offshore (random audits)
Tax evasion in random audits:US. vs. Denmark
0%
5%
10%
15%
20%
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
P0-
10
P10
-20
P20
-30
P30
-40
P40
-50
P50
-60
P60
-70
P70
-80
P80
-90
P90
-95
P95
-99
P99
-99.
5
P99
.5-1
00
Position in the income (US) or wealth (Denmark) distribution
Figure S.23: Fraction of income undeclared (stratified random audits)
Denmark (left) average: 1.8%
US (right) average: 11%
Why is detected evasion higher in US?DCE multiplier + self-employment
0%
5%
10%
15%
20%
25%
30%
Nor
way
Ic
elan
d S
wed
en
Japa
n Lu
xem
bour
g D
enm
ark
Finl
and
Fran
ce
Irela
nd
Lith
uani
a B
elgi
um
Est
onia
U
nite
d K
ingd
om
Aus
tria
Net
herla
nds
Ger
man
y S
pain
H
unga
ry
Uni
ted
Sta
tes
Slo
veni
a C
zech
Rep
ublic
S
witz
erla
nd
Latv
ia
Por
tuga
l Ita
ly
Slo
vak
Rep
ublic
Tu
rkey
P
olan
d G
reec
e
The share of self-employment income in GDP in OECD countries (Gross mixed income as a % of factor-cost GDP)
Stronger enforcement → fewer, wealthierclients
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
2006 2007 2008 2009 2010 2011 2012 2013 2014
Num
ber o
f clie
nts
Ave
rage
acc
ount
val
ue (m
illio
n U
S$)
Number of clients and average account value at HSBC Private Bank Switzerland
Number of clients (right scale)
Average account value (left scale)
Income inequality in the United States
10%
12%
14%
16%
18%
20%
22%
1962
1966
1970
1974
1978
1982
1986
1990
1994
1998
2002
2006
2010
2014
% o
f nat
iona
l inc
ome
Pre-tax national income share: top 1% vs. bottom 50%
Bottom 50%
Top 1%
Source: Appendix Table II-B1
Global income inequality
Key: in 2010, 20.8% of global income accrued to the top 1% earners, using Purchasing Power Parity estimates.Note: per adult pre-tax income. The unit is the adult individual above 20 years old.Regions aggregated: Africa, Asia, Europe, Middle-East, North America, Russia, Latin America. All data from WID.world
5
10
15
20
25
% w
orld
inco
me
1980 1985 1990 1995 2000 2005 2010 2015
Bottom 50% vs top 1% shares of global incomePurchasing Power Parity
Global top1%
Global bottom 50%
The future of global income inequality0
510
1520
2530
% g
loba
l inco
me
1980 1990 2000 2010 2020 2030 2040 2050Notes: Distribution of real per adult income at Purchasing Power Parity. Average national income growth projections based on OECD forecasts.Population growth projections based on UN forecasts. The distribution of growth within countries (actual or projected) is from WID.world.
Purchasing Power ParityTop 1% vs. Bottom 50% shares of global income: 1980-2050
Global top 1% income share
... all countries follow EU 1980-2016 inequality trend = scenario 3
Scenario 2
Global inequality assuming...
Scenario 1
Global bottom 50% income share
... all countries follow US 1980-2016 inequality trend = scenario 2
... all countries follow their own 1980-2016 inequality trend = scenario 1
Scenario 3
Changes in Tax Progressivity
Figure 5.2.2
Note: The top marginal tax rate of the income tax (applying to the highest incomes) in the U.S. dropped from 91% in 1963 to 40% in 2017.Sources: piketty.pse.ens.fr/capital21c and WID.world updates.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Top
mar
gina
l tax
rate
app
lyin
g to
hig
hest
iinco
mes
Top income tax rates in rich countries, 1900-2017
U.S.U.K.GermanyFranceJapan
Tax progressivity in the United States
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
1913
1918
1923
1928
1933
1938
1943
1948
1953
1958
1963
1968
1973
1978
1983
1988
1993
1998
2003
2008
2013
% o
f pre
-tax
inco
me
Average tax rates by pre-tax income group
Source: Appendix Table II-G1.
All
Bottom 50%
Top 1%
Inequality rose more where top marginaltax rates were cut moreFigure 521
Source: Piketty, Saez and Stantcheva (2014)Note: in the USA, the top marginal income tax rate was reduced by 33 points between the early 1970s and the early 2010s.During the same period of time, the top 1% income share increased by 9.5 points.
AustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaAustraliaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanadaCanada
DenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmarkDenmark
FinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinlandFinland
FranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFranceFrance
GermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermanyGermany
IrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIrelandIreland
ItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyItalyJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapanJapan
NetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlandsNetherlands
NZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZNZ
NorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorwayNorway
PortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugalPortugal
SpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpainSpain
SwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSwedenSweden
SwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerlandSwitzerland
UKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUKUK
USUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUSUS
02
46
810
Cha
nge
in T
op 1
% In
com
e Sh
are
(poi
nts)
-40 -30 -20 -10 0 10Change in Top Marginal Tax Rate (points)
Changes Top 1% Share and Top Marginal Tax Rate since the 1970s in Rich countries
No growth for the U.S. bottom 50% since1980
-1%
0%
1%
2%
3%
4%
5%
6% 5 10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Rea
l ave
rage
ann
ual g
row
th, 1
980-
2014
Income percentile
Average annual growth by percentile, 1980-2014
Top 0.001%
Average adult
Pre-tax
Post-tax
P99
P99.9
P99.99