Revista de economía mundial 66, 2024, 67-86
ISSN: 1576-0162
DOI: http://dx.doi.org/10.33776/rem.vi66.7816
IdentIfyIng ProfIt-ShIftIng to tax havenS
USIng CoUntry-By-CoUntry rePort StatIStICS
IdentIfIcacIón del traslado de benefIcIos a paraísos
fIscales utIlIzando las estadístIcas país por país
Ángela Castillo-Murciego
Universidad de Zaragoza
acasmur@unizar.es
Julio López-Laborda
Universidad de Zaragoza
julopez@unizar.es
Recibido: junio 2023; aceptado: enero 2024
aBStraCt
Profit-Shifting is an aggressive tax planning activity that erodes public revenues
worldwide. Using statistics based on recent Country-by-Country Reports, this
article identifies both descriptively and econometrically the existence of such
activity by large Spanish multinationals in EU tax havens. Moreover, the paper
shows that the application of the minimum Effective Tax Rate of 15% to profits
generated in other EU countries by these large multinationals, within the Two-
Pillar solution of the OECD/G20 Inclusive Framework, could increase Spanish
tax revenue by around 2- 17% of annual corporate income tax.
Keywords: Profit-Shifting, Country-by-Country Reports, EU Tax Havens.
reSUmen
El traslado de beneficios es una actividad de planificación fiscal agresiva que
merma los ingresos públicos a nivel mundial. Utilizando las estadísticas basadas
en los recientes informes país por país, este artículo identifica la existencia de
dicha actividad llevada a cabo por las grandes multinacionales españolas en
los paraísos fiscales de la UE, de forma tanto descriptiva como econométrica.
Además, el artículo muestra que la aplicación de un tipo impositivo efectivo
mínimo del 15% sobre los beneficios generados en otros países de la UE por estas
grandes multinacionales, en el contexto de la solución basada en los dos pilares
proveniente del marco inclusivo OCDE/G20, podría incrementar los ingresos
fiscales de España en torno al 2-17% del Impuesto sobre Sociedades anual.
Palabras clave: Traslado de Beneficios, Declaraciones país por país,
paraísos fiscales de la UE.
JEL Classification / Clasificación JEL: F23, H25, H26, H87.
Revista de economía mundial 66, 2024, 67-86
1. IntrodUCtIon
Profit-Shifting (P-S) is an aggressive tax planning activity mainly conducted
by multinational enterprises (MNEs), consisting of using intra-group transactions
to artificially transfer profits from high-taxed to low-taxed jurisdictions through
strategies that manipulate prices or payment flows at market conditions. For
instance, the transfer pricing strategy manipulates intra-group prices, the thin-
capitalisation strategy manipulates debt interest payments, and the strategic
location of intellectual property manipulates royalty payments.
P-S originates in the mismatch between an evolving economy and a
hundred-year-old international tax system. While this system continues
based on separate accounting1 and the arm’s-length principle for intragroup
transactions,2 MNEs create value globally. Moreover, while the system still
requires the physical presence of a company in a jurisdiction for it to tax the
benefits generated in its territory, the economy is increasingly digital. All of
this facilitates aggressive tax planning activity by MNEs, which take advantage
of the tax loopholes arising from the variety of tax systems worldwide. For
governments, the new characteristics of the economy make it difficult to
identify where MNEs generate profits, but they also try to take advantage of the
mismatch between the new economic setting and the outdated International
Tax System and to attract real economic activity and book profits to their
jurisdiction through tax incentives and low effective tax rates.
P-S activity has become a red-hot topic in recent years because of the
rapidly evolving environment and the weakness of public revenues to finance
collective needs worldwide. Among other negative consequences, P-S reduces
fairness and equity worldwide, at both the macro- and micro-level. From a
macro perspective, profits are not reported and taxed in the jurisdictions where
they are generated. From a micro perspective, the limited tax burden paid
by some companies might undermine compliance by all taxpayers (Fuest and
Neumeier, 2023). Moreover, since profits are now taxed at lower tax rates, this
aggressive activity causes tax revenue losses all over the world, which otherwise
1 The Separate Accounting System consists of the allocation of taxing rights between the residence
and the source countries by Double Taxation Treaties or subsidiarily, the domestic tax law, so as to
each one can apply its own tax rules.
2 The arm’s-length principle states that the price agreed in an intragroup transaction must be the
same as the price agreed in a similar transaction between two unrelated parties, i.e., the price agreed
at market conditions.
70 Ángela Castillo-Murciego · Julio López-Laborda
could be used to improve or expand the provision of public services. Tørsløv,
Wier and Zucman (2022) estimated that P-S reduced corporate income tax
revenue “by 18% in the European Union, 14% in the US, 5% in other OECD
countries, and 5% in developing countries” (p.26) for 2015. More recently,
Wier and Zucman (2022) have found that the global corporate tax loss derived
from P-S has gone from less than 0.1% of corporate tax revenue in the 1970s
to 10% in 2019. A similar figure was obtained by Alstadsæter et al. (2023) for
2022, which additionally finds that US MNEs are responsible for about 40%
of global P-S.
Specifically, there is evidence that MNEs artificially shift their profits to
tax haven territories (Castillo-Murciego and López-Laborda, 2023; Tørsløv,
Wier and Zucman, 2022), which are typically identified by their favourable tax
conditions for foreign investors, among other characteristics (Dharmapala and
Hines, 2009; Dharmapala, 2020 and 2023); i.e., MNEs book profits in tax
havens beyond what can be explained by their real activity in these territories
(Castillo-Murciego and López-Laborda, 2023; Tørsløv, Wier and Zucman,
2022). Specifically, Alstadsæter et al. (2023) claims that about 35% of profits
generated outside the home country of MNEs were shifted to tax havens in
2022. In this vein, the aim of this article is to identify P-S by large Spanish
MNEs to EU countries considered as tax havens in some (admittedly unofficial)
tax haven lists3 (hereafter, EU tax havens), with the novelty of using recent
statistics based on Country-by-Country Reports (CbCRs). According to Fuest,
Hugger and Neumeier (2022), the EU tax haven countries are Cyprus, Ireland,
Luxembourg, Malta, and The Netherlands.
CbCR is one of the four minimum standards agreed by the members of the
Inclusive Framework within the Base Erosion and Profit Shifting (BEPS) project,
which was launched by OECD and G20 countries in 2013 to tackle P-S. By
2015, 15 actions were developed and one of them was action 13, related
to transfer pricing documentation and CbCRs. These reports try to contribute
reducing P-S by increasing financial transparency (Johannesen and Larsen,
2016), and are mandatory for MNEs with consolidated turnover of at least
€750 million.4 The main advantage of the information provided by CbCRs,
compared to the Bureau van Dijk’s Orbis database -the most popular database
about companies’ financial information- is the country coverage, especially
regarding tax haven territories.
This case study for Spain represents, then, a first step to leveraging
the new data set coming from CbCRs. Because of their country coverage,
CbCRs can be very useful for improving the estimates of P-S, but also the
effectiveness of the actions taken to prevent this activity, particularly the new
Two-Pillar plan agreed by the OECD. As is well known, as of October 2021, a
historical agreement was reached by 135 countries and jurisdictions to reform
international income tax rules. This agreement is based on a Two-Pillar plan
3 See, for instance, Menkhoff and Miethe (2019).
4 See Hoopes, Robinson and Slemrod (2023) for a review of corporate tax disclosure and its effects.
71
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
(OECD, 2020a and 2020b). Pillar One introduces some innovative elements to
the current International Tax System concerning profit allocation rules to deal
with the digitalisation issue. Specifically, Pillar One allocates taxing rights to
market jurisdictions regardless of a physical presence in them, affecting some
of the largest MNEs. Pillar Two (also known as the “Global Anti-Base Erosion”
or GloBE rules) seeks to put an end to P-S (and reduce tax competition) by
establishing a minimum Effective Corporate Income Tax rate of 15%, which
large MNEs ultimately have to pay to their country of residence on a Country-
by-Country basis.
Moreover, the results obtained in this paper may be extended to other
countries, especially those also applying a Territorial Tax System for taxing
foreign profits when repatriated,5 which are most of the OECD countries.
These countries allow MNEs to appropriate the tax savings derived from P-S
at the end of the day.
The structure of the rest of the article is as follows. Section 2 briefly
discusses the scant literature based on CbCRs to identify P-S and evaluate
proposals against this aggressive tax planning activity; section 3 describes the
new dataset and its advantages and shows the descriptive and econometric
results regarding the existence of P-S to EU tax haven countries; section 4
examines the consequences in terms of tax revenue from the application of the
Minimum Effective Tax Rate, within the Two-Pillar solution from the OECD/G20
Inclusive Framework; and section 5 concludes.
2. LIteratUre revIew
The literature on P-S is plentiful.6 But only a few recent papers have used
data taken from CbCRs to examine this aggressive tax planning activity and the
possible effects of implementing solutions that seek to prevent it.
Within the international empirical economic literature, Fuest, Hugger and
Neumeier (2022) was the first paper to use individual information of German
MNEs’ operations aggregated at tax jurisdiction level for the period 2016-
2017. With a sample of 333 German MNEs and their operations worldwide, it
found a tax revenue loss of €1.6 billion per year derived from P-S to tax havens,
mainly European ones. To reach this result, it first estimates a regression
model based on multinational and country level characteristics to examine the
relationship between the global distribution of profits, and corporate income
taxes and tax havens. Then, based on these estimates, it calculates the amount
of shifted profits and the corresponding tax revenue loss.
5 The Territorial Tax System consists of exempting multinationals from the residence tax when profits
are repatriated to the home country and then allowing them to take advantage of the lower tax they
paid abroad. This is the opposite to the practice of countries applying a Worldwide Tax System, which
tax foreign profits when repatriated after giving a tax credit for taxes paid abroad, usually with an
upper ceiling.
6 See Beer, De Mooij and Liu (2020) for a recent review.
72 Ángela Castillo-Murciego · Julio López-Laborda
Bratta, Santomartino and Acciari (2021) uses firm-level CbCRs of
worldwide MNEs having at least one subsidiary in Italy for 2017. It
discovered the existence of nonlinear responses to taxation and found that
linear specifications underestimate P-S in countries with corporate tax rate
differentials very different from the average, while they over-estimate P-S in
countries with corporate tax rate differentials similar to the average. It also
found a global tax revenue loss of €245 billion in 2017, the distribution
of artificially shifted profits being highly concentrated in a few countries:
investment hubs. Based on these results, it concludes that policies establishing
a minimum level of taxation may be very effective in reducing P-S.
Using macro data based on CbCRs for 2017, García-Bernardo, Janský and
Tørsløv (2021), identifies the most important tax havens for US MNEs, i.e.,
those countries with low effective tax rates and high profits not aligned with
economic activity. These comprise Bermuda, Ireland, and The Netherlands.
Also based on aggregate CbCR data from the OECD for year 2017, and
using a new methodology that takes into account the non-linear relationship
between the location of profits and tax rates, García-Bernardo and Janský
(2023) finds that 70-83% of artificially shifted profit is deviated to countries
with an effective tax rate (ETR) below 10%.
The revenue effects of the application of the consensus solution involving
Pillar One and Pillar Two have been estimated by various authors and
institutions, such as the OECD (2020c) and the IMF (2022). Using CbCRs’ OECD
statistics for year 2017, Barake et al. (2021a) have estimated an increase of
18% of corporate income tax revenue for Spain derived from the application
of a 15% minimum corporate effective tax rate. This result corresponds to
the most optimistic scenario, in which carve-outs7 for economic substance
envisaged in the OECD agreement are not applied and it is calculated by
computing the “tax deficit”. The tax deficit refers to the difference between
what a company currently pays in corporate income taxes and what it would
have to pay if it were subject to the minimum Effective Corporate Income Tax
rate in each country where it operates, i.e., on a Country-by-Country basis.8
3. data and emPIrICaL anaLySeS
To identify P-S to EU tax havens we use two kinds of analyses: descriptive
and econometric. Both are based on Spanish Country-by-Country statistics
provided by the Spanish Tax Agency for 2018 to 2020. Spanish CbCRs are
required since 2016, but they are not available to the public. The most
disaggregated information disclosed by the Spanish Ministry of Finance is
7 The carve-out for economic substance is one of the potential loopholes that have been added
to the agreement and can greatly weaken the estimated potential additional corporate income tax
revenues (Barake et al., 2021b; Alstadsæter et al., 2023).
8 Similarly, the Spanish Tax Agency has calculated the maximum tax revenue for Spain from the
application of Pillar Two at a minimum effective tax rate of 15% at 2,300 million euros in 2018, i.e.,
0.2% of GDP and 9% of corporate tax revenue (Comité de Personas Expertas, 2022).
73
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
country-level information on the global activities of the Spanish qualifying
MNEs for 2018 to 2020. Moreover, this information is limited to EU members
(for other countries, information is available at continent level), which greatly
restricts our analysis. Also, García-Bernardo, Janský and Tørsløv (2021) uses
Country-by-Country statistics based on macro data.
Our database thus comprises EU country-level financial information on
the activities of Spanish MNEs that are required to submit the CbCR (“Model
231”), i.e., those with consolidated turnover of at least €750 million. They
constitute an annual number of around 120 Spanish qualifying MNEs.9
A summary of the Country-by-Country statistics published by the Spanish
Ministry of Finance is in Table A1 in the Appendices.10 Specifically, there
is information about the total values of the following variables: number of
entities of Spanish MNEs, unrelated revenues, related party revenues, total
revenues, profit before income tax, corporate income tax (either accrued
or paid)11, positive corporate income tax (either accrued or paid)12, stated
capital, accumulated earnings, tangible fixed assets other than cash, and
number of employees.
Statistics on CbCRs by jurisdiction at the headquarter level for Spain and
most of the world countries are also published for the period 2016 to 2018
by the OECD (only 2017 and 2018 for Spain). For this alternative data source
on CbC statistics, the available financial variables are the same as those shown
on the Spanish webpage except for the variable positive corporate income
tax (either accrued or paid), which is a variable created and calculated by the
Spanish Tax Agency. Additionally, the OECD webpage provides data on the
kind of business activity of the MNEs in the corresponding tax jurisdiction.
As claimed above, the main strength of CbCRs is the country coverage and
the information about revenues from intra-firm transactions they provide. In
contrast, the popular Bureau van Dijk’s Orbis database presents a great deal
of missing data for tax haven jurisdictions because it relies on information in
public business registries, which do not exist in some countries or present
incomplete information. According to Tørsløv, Wier and Zucman (2022),
only 17% of the global profits of MNEs could be traced in Bureau van Dijk’s
Orbis database in 2012. Fuest, Hugger and Neumeier (2022) found that the
Orbis database only covers 35% of German MNEs’ subsidiaries located in
non-havens, assuming data based on CbCRs is complete. This figure is 26%
for subsidiaries located in European tax havens (information on activities in
Cyprus, Liechtenstein, Malta, and Switzerland is completely missing) and zero
9 Specifically, 122 in 2018, 124 in 2019, and 126 in 2020.
10 https://sede.agenciatributaria.gob.es/Sede/estadisticas/estadisticas-impuesto/declaracion-pais-
pais-multinacionales-matriz-espanola.html.
11 Accrued corporate income tax encompasses only operations belonging to the corresponding
period; paid corporate income tax is the income paid on a cash basis.
12 Positive corporate income tax is a variable calculated by the Spanish Tax Administration from
corporate income tax (either accrued or paid, as appropriate). The amount of the tax is added from
those jurisdictions whose net corporate tax has a positive value.
74 Ángela Castillo-Murciego · Julio López-Laborda
for subsidiaries located in tax havens outside Europe. Bratta, Santomartino
and Acciari (2021) compared CbCR with Orbis data for the largest MNEs
having at least one subsidiary in Italy and verified the low coverage of US
MNEs, of non-US MNEs located in the United States, and of MNEs operating
in low-tax and investment-hub countries. García-Bernardo, Janský and Tørsløv
(2021) inferred a higher quality of country-level information about MNCs’
tax payments and profits, as well as better country coverage, comparing
the new data based on Internal Revenue Service CbCRs with a set of data
sources with information about US MNEs, both public (BEA’s and Eurostat’s
foreign affiliate statistics and controlled foreign corporation data provided by
the IRS) and private (company balance sheet information, Bureau van Dijk’s
Orbis, and Standard & Poor’s Compustat).
Additionally, in a recent study, Aliprandi and von Zedlitz (2023) found that
in general terms the figures shown in CbCRs present a high level of reliability
in comparison to respective consolidated financial data, though there is room
for improvement to make these reports completely useful for policymakers
and the general public.
3.1. deSCrIPtIve reSULtS
Figures 1 to 4 show the results for the descriptive analysis, which seem to
be consistent with P-S to EU tax haven countries.
In average terms, Figure 1 and Figure 2 show a highly disproportionate
ratio of Pre-Tax Profits to indicators of real economic activity for tax haven
countries in comparison to non-havens, these ratios being especially high for
years 2018 and 2019.13 Thus, it seems that reported profits are not aligned
with real economic activity in these territories, which could be an indication
of the presence of P-S.
Figure 3 shows a higher percentage of related-party revenues in tax
havens than in non-havens. This is also in line with aggressive tax planning
activity, since P-S strategies use intra-group transactions to manipulate
market conditions and report higher (lower) revenues and lower (higher)
expenses in low (high) tax countries. Lastly, Figure 4 brings to light a lower
corporate effective tax rate in tax havens than in non-havens, which is in line
with P-S toward the former territories. There is an exception for the effective
tax rate calculated from the paid tax for 2020. This peculiarity, as well as
those observed in the previous figures (albeit minor) make the year 2020 an
outlier, which could be related to the coronavirus pandemic.
13 For German MNEs the ratio of returns to tangible assets is approximately 39% in European tax
havens and profit per employee is about 134 thousand euros (Fuest, Hugger and Neumeier, 2022).
75
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
fIgUre 1. average Pre-tax ProfItS to tangIBLe fIxed aSSetS (%) of SPanISh mneS In tax haven
and non-haven eU CoUntrIeS (exCLUdIng SPaIn), 2018-2020
Source: By the authors, data from the Spanish Ministry of Finance.
fIgUre 2. average Pre-tax ProfItS to nUmBer of emPLoyeeS of SPanISh mneS In tax haven and
non-haven eU CoUntrIeS (exCLUdIng SPaIn), 2018-2020
Source: By the authors, data from the Spanish Ministry of Finance.
fIgUre 3. average reLated Party revenUeS to totaL revenUeS (%) of SPanISh mneS In tax haven
and non-haven eU CoUntrIeS (exCLUdIng SPaIn), 2018-2020
Source: By the authors, data from the Spanish Ministry of Finance.
Note: Related revenues are estimated by the ratio between revenues with related entities and total
revenues.
76 Ángela Castillo-Murciego · Julio López-Laborda
3.2. eConometrIC reSULtS
Two kinds of empirical approaches, direct and indirect, have been used in
the empirical literature to identify the existence of P-S. The direct approaches
consist of identifying particular P-S strategies, while indirect methods are
based on the expected results of P-S. Our econometric analysis to identify
P-S follows the Hines and Rice (1994) indirect approach, which bases the
existence of P-S on finding a negative relationship between corporate income
taxes and reported profits in a territory, after controlling for the real economic
activity in the corresponding territory. Using this approach and the Bureau van
Dijk’s Amadeus database, Castillo-Murciego and López-Laborda (2017) found
evidence consistent with P-S between Spain and other countries carried out by
Spanish MNEs, and EU and OECD foreign MNEs owning Spanish affiliates during
2005-2014.
Particularly, in this article we estimate the following econometric specification,
which uses the same dependent and control variables as Fuest, Hugger and
Neumeier (2022), but at macro level:
(1)
The dependent variable (Yit) is alternatively defined as the log of Pre-Tax
Profits or the log of Related Revenues of qualifying Spanish MNEs in EU country
i and year t. The main independent variable is the binary variable tax haven (thit),
which takes the value of one when the country i is a tax haven, and the value of
zero otherwise. We consider that this variable is more indicative of the incentive
fIgUre 4. average effeCtIve CorPorate InCome tax rate (%) of SPanISh mneS In tax haven and
non-haven eU CoUntrIeS (exCLUdIng SPaIn), 2018-2020
Source: By the authors, data from the Spanish Ministry of Finance.
Notes: (1) Effective Corporate Income Tax Rate is estimated by the ratio between positive Corporate
Income Tax (either, accrued or paid) and Pre-Tax Profits. (2) Estonia is excluded from these estimates
for 2018 and Slovenia for 2020 regarding estimates based on paid taxes, because their ETR are
outliers (i.e., the ETR is higher than 1,000% in both cases).
77
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
to shift profits than indicators of the tax rate, because it focuses on a group
of territories that, in addition to favourable tax conditions for foreign investors,
have other positive features, such as strong governance and institutions; i.e., they
have robust political and legal systems and low levels of corruption (Dharmapala,
2023).14 We expect to find a positive coefficient for this variable regarding
the two dependent variables. As to Pre-Tax Profits, tax havens offer the most
favourable taxes for foreign investors and other non-tax incentives to artificially
shift profits to, and then, to report disproportionately high pre-tax profits there.
With regard to Related Revenues, MNEs use strategies such as the location of
Intellectual Property or financial services in tax havens to carry out P-S, which
lead to disproportionately high related revenues in these territories.
The control variables are firm-level and country-level characteristics.
Regarding firm-level variables, while Fuest, Hugger and Neumeier (2022) had
individual data for MNEs, though aggregated at country level, we have macro
data. Thus, our firm-level characteristics refer to the characteristics of all firms
operating in the corresponding country. These firm-level characteristics are the
log of the number of employees of Spanish qualifying MNEs in country i and
year t (lg(employeesit)), the log of tangible fixed assets (lg(assetit)), and the log of
unrelated revenues (lg(unrelatedrevit)). Country-level characteristics are the log of
the GDP per capita of country i and year t (lg(gdppcit)), the log of the population
(lg(popit)), and the Corruption Perceptions Index (corruptionit).15
The descriptive statistics of the model variables are in Table A2 in the
Appendices. Table 1 displays the estimated coefficients for the model variables
using a Pooled Linear Regression Model.16
Results seem to be consistent with P-S to EU tax haven countries. The
estimated coefficient for the tax haven variable is positive and statistically
significant for the two models incorporating alternative dependent variables.
Thus, Pre-Tax Profits and Related Revenues seem to be higher in tax haven
than in non-haven EU countries, after controlling for firm and country-level
characteristics influencing them. Specifically, reported profits by large Spanish
MNEs in EU tax havens exceed reported profits in EU non-tax havens by a
notably high percentage: 154%. Similarly, intra-firm revenues in EU tax havens
exceed intra-firm revenues in EU non-tax havens by 177%.
Regarding control variables, Table 1 shows that the only variables that
seem to be statistically significant are unrelated revenues, as an indicator of
14 The main independent variable in the baseline specification of Fuest, Hugger and Neumeier
(2022) is the statutory and, alternatively, the effective tax rate. Subsequently, they incorporated a
tax haven dummy variable into their model, and found that the tax semi-elasticity lost a great deal of
its importance in favour of the tax haven variable.
15 GDP per capita based on purchasing power parity, and population, are taken from the World
Development Indicators database: https://databank.worldbank.org/source/world-development-
indicators. Corruption Perceptions Index is taken from Transparency International: https://
www.transparency.org/en/cpi/2021?gclid=CjwKCAjw6MKXBhA5EiwANWLODHA9HDPs-
7WychBgLQoTcaIVH78EW4QU_by8teBpNxdiWM_OpBym7RoCaPYQAvD_BwE.
16 Results are not estimated using country Fixed Effects because in such a case it would not be
possible to identify the effect of the tax haven variable.
78 Ángela Castillo-Murciego · Julio López-Laborda
the importance of the country i as a market country; corruption, for the model
using pre-tax profits as dependent variable; and the number of employees, for
the model using related revenues, all of them having a positive impact on the
dependent variable. These results could further reinforce the importance of
P-S activity in explaining reported profits in a country, in addition to the real
economic and other reasons that affect the overall distribution of pre-tax profits
and related revenues of MNEs. However, we should be cautious in interpreting
the results due to the small number of observations in the sample.
Additionally, we conducted two robustness tests, the results of which are
provided in the Appendices. Table A3 shows the estimated results including
Belgium as an EU tax haven country (Tørsløv, Wier and Zucman, 2022).
Results are similar, but the magnitude of the effect of the tax haven variable on
dependent variables is slightly smaller. Table A4 illustrates the estimates for the
period 2017-2020, where Country-by-Country statistics for year 2017 comes
from the OECD database. Fundamental results are substantially maintained.
4. SImULatIon of the effeCtS of oeCd PILLar two ImPLementatIon
Using the same methodology as Barake et al. (2021a), and the statistics
about CbCRs from the Spanish Ministry of Finance for 2018 to 2020, Table 2
shows the maximum increase in corporate income tax revenue for Spain from
the establishment of the tax rate of 15% to profits generated in EU countries by
taBLe 1. reSULtS
Variable (1) Log (Pre-Tax Profits) (2) Log (Related Revenues)
thit
1.5473***
(0.4275)
1.7751***
(0.4317)
lg(employeesit)-0.3103
(0.2665)
0.5796*
(0.3166)
lg(assetit)0.1523
(0.2045)
0.1249
(0.2487)
lg(unrelatedrevit)1.0158***
(0.2740)
0.0724
(0.3745)
lg(gdppcit)-0.8995
(0.5937)
1.0717
(0.6605)
lg(popit)0.2004
(0.1870)
0.3245
(0.2204)
corruptionit
0.0252**
(0.0097)
0.0078
(0.0137)
N 79 77
R20.9118 0.9003
Source: By the authors.
Notes: (1) ***, ** and * denote statistical significance at 1%, 5% and 10% levels, respectively.
Robust Standard Errors are in brackets.
79
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
large MNEs on a Country-by-Country basis.17 In total, results seem to indicate
that the Spanish government could have collected annual additional revenues
of around 2 to 17% of positive corporate taxes (depending on the year and on
the accrued or paid taxes)18 coming from the EU countries.
17 Council Directive (EU) 2022/2523, of 14 December 2022 (https://eur-lex.europa.eu/legal-
content/EN/TXT/PDF/?uri=CELEX:32022L2523) implementing GloBE in the European Union
establishes that the minimum level of taxation will be applied for both large MNEs and large domestic
groups starting in 2024. Considering also the effect that the application of Pillar Two could have on
subsidiaries of Spanish-parent MNEs that pay corporate income tax in Spain, the Spanish Tax Agency
has estimated a maximum potential collection of 0.45% of GDP, based on 2018 data (Comité de
Personas Expertas, 2022).
18 For EU countries (Spain excluded), positive accrued corporate taxes were 3,074,590 thousand
euros for 2018, 2,811,273 thousand euros for 2019 and 1,233,037 thousand euros for 2020; and
positive paid corporate taxes were 2,959,632 thousand euros for 2018, 2,617,523 thousand euros
for 2019 and 1,637,136 thousand euros for 2020.
taBLe 2: maxImUm addItIonaL revenUeS for SPaIn from the aPPLICatIon of the mInImUm effeCtIve
CorPorate InCome tax: 2018-2020
Country
Additional CIT 2018, in
million € and as a % of EU
CIT (in brackets)
Additional CIT 2019, in
million € and as a % of EU
CIT (in brackets)
Additional CIT 2020, in
million € and as a % of EU
CIT (in brackets)
Accrued CIT Paid CIT Accrued CIT Paid CIT Accrued CIT Paid CIT
Belgium 6.9944
(0.4272)
Bulgaria 0.5210
(0.0169)
0.4010
(0.0135)
1.3467
(0.0479)
1.4557
(0.0556)
0.7096
(0.0575)
0.3586
(0.0219)
Croatia 0.1343
(0.0048) 
Cyprus 1.9296
(0.0048) 
Den-
mark
11.0042
(0.3579)
7.3242
(0.2475) 
Estonia 0.0098
(0.0003)
0.0088
(0.0003)
0.0913
(0.0074)
0.0983
(0.0060)
Ger-
many 131.6176
(5.0283)
Hungary 2.1969
(0.0715)
1.6459
(0.0556)
2.6775
(0.0952)
2.6635
(0.1018)
1.1621
(0.0942)
Ireland 79.1202
(2.5734)
28.9422
(0.9779)
82.5594
(2.9367)
79.8844
(3.0519)
7.9947
(0.6484)
1.6227
(0.0991)
Latvia 0.1552
(0.0050)
0.0632
(0.0021) 0.1556
(0.0059)
Lithu-
ania
0.8983
(0.0292)
0.7103
(0.0240)
0.2456
(0.0087)
1.2296
(0.0470)
0.5057
(0.0410)
0.5567
(0.0340)
(Continúa)
80 Ángela Castillo-Murciego · Julio López-Laborda
In each one of the three years considered, and irrespective of taking
accrued or paid taxes for the calculation of the effective tax rate, Ireland is
always in the top three as a source of additional tax revenue. Table 2 also
shows that there are some EU countries not identified as tax havens that might
also generate extra revenues for Spain from the application of the minimum
tax rate. Indeed, only 7 out of 27 EU countries (including the United Kingdom
until 2020) apply effective corporate tax rates higher than 15% in any of the
three years. According to these results, it appears that low effective corporate
tax rates are not only related to tax havens, i.e., additional tax revenues could
come from either tax havens or non-haven countries. However, while estimated
additional revenues from non-havens come, in general terms, from real profits,
those from tax havens are mainly based on book profits, i.e., tax havens are
territories with low effective tax rates and high profits not aligned with real
economic activity (García-Bernardo, Janský and Tørsløv, 2021).
Country
Additional CIT 2018, in
million € and as a % of EU
CIT (in brackets)
Additional CIT 2019, in
million € and as a % of EU
CIT (in brackets)
Additional CIT 2020, in
million € and as a % of EU
CIT (in brackets)
Luxem-
bourg
27.6598
(0.8996)
43.0848
(1.4557) 28.5679
(1.0914) 18.9101
(1.1551)
Malta 15.9709
(0.5194)
22.4789
(0.7595)
13.8234
(0.4917) 10.0550
(0.8155)
Nether-
lands 151.0129
(5.3717)
44.9039
(1.7155)
18.0435
(1.4633)
Portugal 34.1497
(1.1107)
150.5797
(5.0878) 137.4518
(5.2512)
Roma-
nia 1.4226
(0.0506)
5.2016
(0.1987)
2.1031
(0.1706)
Slovakia 2.2643
(0.0736) 2.8954
(0.1030)
1.6544
(0.0632)
2.2135
(0.1795)
Slovenia 0.5486
(0.0178)
0.2126
(0.0072)
0.1239
(0.0044)
0.0409
(0.0016)
Sweden 19.0404
(0.6193) 
United
King-
dom
13.4040
(0.4529) 
TOTAL 193.5292
(6.2945)
270.7762
(9.1490)
256.2513
(9.1151)
434.8354
(16.6125)
42.8783
(3.4775)
28.5407
(1.7433)
Source: By the authors. Notes: (1) Additional (Accrued or Paid) Corporate Income Tax is estimated
by making the product between the Tax Deficit (Accrued or Paid) and Pre-tax profits. The Tax Deficit
(Accrued or Paid) is the difference between 15% and (Accrued or Paid) ETRs (see note 1 of Figure
4). (2) Estonia is excluded from these estimates for 2018 and Slovenia for 2020 regarding estimates
based on paid taxes, because their ETR are outliers (i.e., the ETR is higher than 1,000% in both
cases).
81
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
5. ConCLUdIng remarkS
This article has obtained descriptive and econometric results consistent
with Profit-Shifting (P-S) by large Spanish MNEs to EU tax-haven countries,
using the recent statistics based on Country-by-Country Reports (CbCRs).
Pre-tax profits and related revenues reported in EU tax havens seem to
be disproportionately high in comparison to economic activity in these
jurisdictions. While the use of statistics on CbCRs is the main strength of the
present article and represents a first step in the exploitation of this new data
on Spanish MNEs, it also constitutes its main limitation due to the scarcity of
information available to the public on these reports to date.
The main advantage of these statistics is the country coverage. While the
Bureau van Dijk’s Orbis database is missing a great deal of unconsolidated
data regarding some jurisdictions, CbCRs contain country-level information
on MNCs’ tax payments and finances. However, the available statistics are
currently very limited for Spain. The most disaggregated statistics published
by the Spanish Ministry of Finance on these reports are total financial values
by jurisdiction, which does not allow us to consider multinational-level
characteristics. Moreover, country-level data is only available for EU countries,
which further limits the number of observations in the sample.
Therefore, a natural extension of this research should be to replicate the
above analyses later, using more years and individual data on the activities of
Spanish MNEs operating worldwide when available. Indeed, Spain and Italy are
the EU countries with the highest number of CbCRs disclosed by multinationals
(Aliprandi et al., 2022; Aliprandi and Borders, 2023), and some of these
Spanish MNEs provide an excellent level of corporate tax transparency (Godar
et al., 2022).19 Additionally, due to the transposition of Directive 2021/2101,20
large Spanish MNEs will have the obligation to publish their CbCR on the MNE
website for the fiscal years starting from June 2024.
Based on the 2018-2020 CbCR information, we have also calculated the
additional tax revenue that Spain would have gained if the minimum effective
tax rate of 15% (without carve-outs) established by the GloBE rules had been
applicable. Considering only profits obtained by Spanish MNEs in EU countries
(Spain excluded), it seems that the establishment of this minimum tax rate
could have originated extra tax revenue for the Spanish public treasury of up to
17% of positive corporate taxes annually. Again, this analysis is also a first step
regarding the possible consequences of the application of Pillar Two.
19 See https://taxobservatory.shinyapps.io/company_cbcr_data/.
20 Directive (EU)2021/2101 of the European Parliament and of the Council of 24 November
2021 (https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32021L2101&from=
EN) requires country-by-country reports of multinational groups operating in the EU with a total
consolidated revenue of at least EUR 750 million to be publicly available starting with fiscal year
2025. The Directive has been transposed in Spain by Law 28/2022 of 21 December on the promotion
of the start-up ecosystem.
82 Ángela Castillo-Murciego · Julio López-Laborda
An important issue that could affect the final result of the application of
Pillar Two on tax revenue is the behavioural response of MNEs. They may, for
instance, reduce investment and employment in some countries because of
the increase in the effective cost of capital, or relocate real activity to low-tax
territories to take advantage of carve-out rules (Suárez Serrato, 2018; IMF,
2022). This and other behavioural responses of MNEs may change predictions
about the tax revenue consequences of the proposal, and are likely to have
other unintended general economic consequences worldwide.
aCknowLedgementS
The authors gratefully acknowledge funding from the Government of
Aragón, research project S23_23R.
referenCeS
Aliprandi, G., and K. Borders. (2023). “Tax Transparency by Multinationals.
Trends in Country-by-Country Reports Public Disclosure.” EU Tax
Observatory Note.
Aliprandi, G., Borders, K., Gabriel, F., and G. von Zedlitz. (2022). “Public
Country-by-Country Reports: A New Database.” EU Tax Observatory Note.
Aliprandi, G., and G. von Zedlitz. (2023). “Benchmarking Country-by-Country
Reports.” EU Tax Observatory Working Paper Nº. 17.
Alstadsæter, A., Godar, S., Nicolaides, P., and G. Zucman. (2023). Global Tax
Evasion Report 2024. EU Tax Observatory.
Barake, M., Chouc, P.E., Neef, T., and G. Zucman. (2021a). “Revenue Effects
of the Global Minimum Tax: Country-by-Country Estimates.”, EU Tax
Observatory Note Nº. 2.
Barake, M., Neef, T., Chouc, P. E., and G. Zucman. (2021b). “Minimizing the
Minimum Tax? The Critical Effect of Substance Carve-Outs.”, EU Tax
Observatory Note.
Beer, S., De Mooij, R., and L. Liu. (2020). “International Corporate Tax
Avoidance: A Review of the Channels, Magnitudes, and Blind Spots.”
Journal of Economic Surveys, 34(3), 660-688.
Bratta, B., Santomartino, S., and P. Acciari. (2021). “Assessing Profit Shifting
Using Country-by-Country Reports: A Non-linear Response to Tax Rate
Differentials.” DF Working Paper n.11, Dipartimento delle Finanze, Roma.
Castillo-Murciego, A., and J. López-Laborda. (2017). “Are Spanish Companies
Involved in Profit Shifting? Consequences in Terms of Tax Revenues.”
Economics: The Open-Access, Open-Assessment E-Journal, 11(1), 1-47.
Castillo-Murciego, A., and J. López-Laborda. (2023). “Tax-induced Investments
in Tax Havens by Spanish Multinationals.” Applied Economics, 55(53),
6250-6263.
Comité de Personas Expertas. (2022). “Libro Blanco sobre la Reforma
Tributaria.” Madrid. https://www.ief.es/docs/investigacion/comiteexpertos/
LibroBlancoReformaTributaria_2022.pdf
83
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
Dharmapala, D. (2020). “Do Multinational Firms Use Tax
Havens to the Detriment of Other Countries?” CESifo
Working Papers 8275.
Dharmapala, D. (2023). “Overview of the Characteristics of Tax Havens.” CESifo
Working Papers 10411.
Dharmapala, D., and J. R. Hines. (2009). “Which Countries
Become Tax Havens?” Journal of Public Economics, 93 (9-
10), 1058-1068.
Fuest, C., Hugger, F., and F. Neumeier. (2022). “Corporate Profit Shifting and the
Role of Tax Havens: Evidence from German Country-by-Country Reporting
Data.” Journal of Economic Behavior and Organization, 194, 454-477.
Fuest, C., and F. Neumeier. (2023). “Corporate Taxation.” Annual Review of
Economics, 15, 425-450.
García-Bernardo, J., Janský, P., and T. Tørsløv. (2021). “Multinational
Corporations and Tax Havens: Evidence from Country-by-Country
Reporting.” International Tax and Public Finance, 28(6), 1519-1561.
García-Bernardo, J., and P. Janský. (2023). “Profit Shifting of Multinational
Corporations Worldwide”.
Godar, S., Aliprandi, G., Faccio, T., and P. Janský. (2022). “The Long Way to
Tax Transparency: Lessons from the Early Publishers of Country-by-Country
Reports.” EU Tax ObservatoryWorking Paper Nº. 10.
Hines, J.R., and E.M. Rice. (1994). “Fiscal Paradise: Foreign Tax Havens and
American Business.” Quarterly Journal of Economics, 109(1), 149-182.
Hoopes, J.L., Robinson, L., and J. Slemrod. (2023). “Corporate Tax Disclosure.”
NBER Working Paper 31467.
IMF. (2022). “Coordinating Taxation Across Borders.” Fiscal Monitor. Fiscal
Policy from Pandemic to War, Chapter 2. Washington, DC: IMF.
Johannesen, N., and D. T. Larsen. (2016). “The Power of Financial Transparency:
An Event Study of Country-by-Country Reporting Standards.” Economics
Letters, 145, 120-122.
Menkhoff, L., and J. Miethe. (2019). “Tax evasion in new disguise? Examining
tax havens’ international bank deposits.” Journal of Public Economics, 176,
53-78.
OECD. (2020a). “Tax Challenges Arising from Digitalisation – Report on Pillar
One Blueprint: Inclusive Framework on BEPS.” OECD/G20 Base Erosion
and Profit Shifting Project, OECD Publishing, Paris, https://doi.org/10.1787/
beba0634-en.
OECD. (2020b). “Tax Challenges Arising from Digitalisation – Report on Pillar
Two Blueprint: Inclusive Framework on BEPS.” OECD/G20 Base Erosion
and Profit Shifting Project, OECD Publishing, Paris, https://doi.org/10.1787/
abb4c3d1-en.
OECD. (2020c). “Tax Challenges Arising from Digitalisation – Economic
Impact Assessment: Inclusive Framework on BEPS.” OECD/G20 Base
84 Ángela Castillo-Murciego · Julio López-Laborda
Erosion and Profit Shifting Project, OECD Publishing, Paris, https://doi.
org/10.1787/0e3cc2d4-en.
Suárez Serrato, J.C. (2018). “Unintended Consequences of Eliminating Tax
Havens.” NBER Working Paper 24850.
Tørsløv, T.R., Wier, L.S., and G. Zucman. (2022). “The Missing Profits of Nations.”
The Review of Economic Studies, forthcoming.
Wier, L.S., and G. Zucman. (2022). “Global Profit Shifting, 1975-2019.” NBER
Working Paper 30673.
aPPendICeS
taBLe a1. CoUntry-By-CoUntry StatIStICS for SPanISh mneS: 2018-2020
Non-detailed data
-Total value of variables by effective tax rate level (accrued
and paid).
-Ratios about tax contribution, profitability, and economic
substance by effective tax rate level (accrued and paid).
-Territorial distribution of multinationals, entities, and income
by effective tax rate level (accrued and paid): Spain, EU coun-
tries (Spain excluded) and non-EU countries.
-Tax contribution of territories by effective tax rate level (ac-
crued and paid): Spain, EU countries (Spain excluded) and
non-EU countries.
-Profits and economic substance of territories by effective
tax rate level (accrued and paid): Spain, EU countries (Spain
excluded) and non-EU countries.
Detailed data by jurisdiction
-Total value of variables by country (UE-28) or continent.
-Ratios related to profitability and economic substance by
country (UE-28) or continent.
-Average of total value of variables by country (UE-28) or
continent.
-Percentage of variables’ total value by country (UE-28) or
continent.
Source: By the authors, data from the Spanish Ministry of Finance.
85
IdentIfyIng ProfIt-ShIftIng to tax havenS USIng CoUntry-By-CoUntry rePort StatIStICS
revISta de eConomía mUndIal 66, 2024, 67-86
taBLe a2. deSCrIPtIve StatIStICS: 2018-2020
Variable Obs Mean Std. Dev. Min Max
Pre-tax Profits
(thousand €) 80 509,000 1,110,000 4 7,180,000
Related
revenues (thou-
sand €)
80 997,000 1,660,000 -165,000 5,840,000
Employees 80 12,952.05 24,640.68 4 129,401
Assets (thou-
sand €) 80 2,300,000 5,930,000 30 39,400,000
Unrelated
revenues (thou-
sand €)
80 3,820,000 8,040,000 -3,782,000 45,800,000
GDP pc (thou-
sand €) 80 37.2250 15.7565 18.5159 95.5078
Population
(thousand) 80 16,700 22,800 484,630 83,200
Corruption 80 64.3625 14.24047 42 88
Tax haven 80 0.1875 0.3928 0 1
Source: By the authors.
taBLe a3. reSULtS. extended tax haven LIStS
Variable (1) Log (Pre-Tax Profits) (2) Log (Related Revenues)
thit
1.1500***
(0.3251)
1.2414***
(0.3911)
lg(employeesit)-0.4002
(0.2604)
0.4840
(0.3176)
lg(assetit)0.2912
(0.1964)
0.3057
(0.2359)
lg(unrelatedrevit)0.9659***
(0.2827)
-0.0131
(0.3749)
lg(gdppcit)-0.7458
(0.6058)
1.3186**
(0.6608)
lg(popit)0.1304
(0.1766)
0.2346
(0.2211)
corruptionit
0.0222**
(0.0095)
0.0041
(0.0142)
N 79 77
R20.9094 0.8943
Source: By the authors.
Notes: ***, ** and * denote statistical significance at 1%, 5% and 10% levels, respectively. Robust
Standard Errors are in brackets.
86 Ángela Castillo-Murciego · Julio López-Laborda
taBLe a4. reSULtS. PerIod 2017-2020
Variable (1) Log (Pre-Tax Profits) (2) Log (Related Revenues)
thit 1.6284***
(0.3331)
1.8595***
(0.3495)
lg(employeesit)-0.1396
(0.2117)
0.2242
(0.2765)
lg(assetit) -0.0063
(0.1218)
0.0414
(0.1798)
lg(unrelatedrevit) 1.0237***
(0.2148)
0.4705
(0.2853)
lg(gdppcit) -0.7759
(0.4784)
0.7324
(0.6077)
lg(popit) 0.1802
(0.1331)
0.3904**
(0.1853)
corruptionit 0.0260***
(0.0086)
0.0040
(0.0116)
N101 99
R20.9152 0.8899
Source: By the authors.
Notes: ***, ** and * denote statistical significance at 1%, 5% and 10% levels, respectively. Robust
Standard Errors are in brackets.