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A Comparative View on the Tax Performance of Developing Countries: Regional Patterns, Non-Tax Revenue and Governance

TL;DR: In this article, the authors present an approach to bridge the gap between probabilistic statements based on statistical analyses, and country-specific information, which accounts for different development levels and other influencing factors, such as regional patterns, non-tax revenue and governance.
Abstract: Some countries fail to ensure that their citizens and businesses make an appropriate contribution to the financing of public tasks. But not all countries with a low tax ratio automatically fall into this cat-egory. This paper presents an approach to bridge the gap between probabilistic statements based on statistical analyses, and country-specific information. Rather than defining general across-the-board criteria, the approach accounts for different development levels and other influencing factors, such as regional patterns, non-tax revenue and governance. Findings on individual countries or groups of countries should put governments, donors and international organisations in a better position to decide on tax reform programmes and aid modalities.

Summary (2 min read)

1. Introduction

  • Countries with a low tax yield or lax enforcement of tax laws are running out of time.
  • Developing countries, too, are being urged to do more to mobilize domestic resources rather than rely on a constant inflow of official development assistance (ODA) funds (OECD 2010; European Commission 2010).
  • Most developing countries are the subject of at least some country-specific information on tax systems and revenues.
  • Tax-related criteria of donor programs or new aid modalities are defined without the potential of available comparative data being fully tapped.
  • Section 2 introduces the analytical narrative and discusses the problem of data quality and accessibility.

2. Assessing tax performance – concepts, literature and data

  • State capacity includes the capacity to collect taxes.
  • Several other studies show, however, that the variable tends to lose statistical significance or even changes signs once additional control variables are introduced.
  • For each of the countries of their sample, data from 2007 and 2008 were averaged and then compiled into one series.
  • Profeta et al. (2011) examine the relation between political variables and tax revenue, focussing on three areas: Asia, Latin America and new EU-members.
  • Societies with low levels of governance are typically not in a position to choose and implement a tax system from a common interest perspective.

The data challenge

  • Gathering data on actual tax revenue collection in developing countries is still quite a difficult task.
  • Again, omitting one of these sources would distort the overall picture of tax revenue.
  • The authors found various cases where GG and CG data were used side by side, or where social contributions were treated incoherently.
  • For all sources, tax revenue is for general government (unless otherwise specified), with social contributions included, average of 2007 and 2008, in per cent of GDP.

Classification of countries

  • Figure 1 shows a scatter plot of tax ratio (tax revenue as per cent of GDP) versus logged GDP per capita for 177 countries.
  • The solid black line is the trend line (fitted values).
  • Countries with a tax ratio above the 95 per cent confidence 9 interval (ii) high tax performers and those with a tax ratio below the 95 per cent confidence interval (iii) low tax performers.

Robustness checks and specifications

  • The authors performed several robustness checks and looked for alternative specifications of their main variables, GDP per capita and tax revenues.
  • 10 – Data from Ivanyna and Shah (2011) reveal that, in 2005, the average subnational government (SNG) expenditures of the countries that report GG data was 23.7 per cent of total expenditures (which are comparable to total revenue).
  • If the samples of the previous observation periods were qualitatively different from 2007-08, a country’s change in position vis-à-vis the trend line could be due to sample selection rather than its own development.
  • Finally, the authors assumed that there was indeed a sample selection problem, and reformulated their main specification with only those countries that reported data in 1997-99 as well as in 2001-03 (158 countries, not shown in Table III).
  • As a result, several countries changed their relative position in the world distribution of tax performance, but not their absolute performance: Nepal, the Central African Republic, Eritrea, Malawi and Haiti increased their tax ratio over time without positive changes in GDP/capita and yet ended up in the low performing group.

Regional patterns

  • The qualitative analysis reveals some regional patterns.
  • Another part of the world where tax performance is particularly low is South and Southeast Asia.
  • It shows a strong statistical relationship between the tax ratio of individual countries and the average tax ratio of their respective region.
  • The authors guess would be that the relationship is driven by different causal factors in each region.
  • Similarly, nine sub-Saharan African countries moved to lower categories (e.g. Chad, the Central African Republic, Nigeria, Malawi and Namibia), while Liberia alone changed from average to high performance.

Alternative sources of revenue

  • As pointed out in Section 2, governments finance some of their expenditures from sources of revenue other than taxation.
  • Major alternative sources are property income, which also includes dividends and withdrawal of profits from state enterprises, and grants from foreign governments and international organizations.
  • The authors aim in this section is to explore whether low tax performers use alternative sources of revenue and what sources they “specialize” in.
  • Of the 16 high non-tax revenue countries mentioned above, six (Timor-Leste, Micronesia, the Comoros, Bhutan, Chad and Sudan) receive more than 3.4 per cent of GDP (half the world average) in ODA grants.
  • Of the ten high non-tax revenue, low-ODA countries, only Gabon received external loans in substantial amounts (11 per cent of GDP in 2007-08).

Governance levels

  • The size of the public sector and the quality and quantity of public services may be the outcome of choice by a society.
  • 16 – The results on the WGI Voice and Accountability index are even more telling.
  • They include several small high-income countries mentioned above as well as some rather non-democratic or blatantly authoritarian states such as Singapore, Malaysia, Bahrain, Bhutan and Kuwait.
  • They tend to have weak tax collection capacities, and it seems that the differences in tax revenues between countries in the region stem mostly from differences in the countries’ historical and present exposure to global markets via the natural resources they export or the supply of labour they provide (Mkandawire 2010).

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Ivanyna, Maksym; von Haldenwang, Christian
Working Paper
A comparative view on the tax performance of
developing countries: Regional patterns, non-tax
revenue and governance
Economics Discussion Papers, No. 2012-10
Provided in Cooperation with:
Kiel Institute for the World Economy – Leibniz Center for Research on Global Economic
Challenges
Suggested Citation: Ivanyna, Maksym; von Haldenwang, Christian (2012) : A comparative
view on the tax performance of developing countries: Regional patterns, non-tax revenue and
governance, Economics Discussion Papers, No. 2012-10, Kiel Institute for the World Economy
(IfW), Kiel
This Version is available at:
http://hdl.handle.net/10419/55262
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A Comparative View on the Tax Performance of
Developing Countries: Regional Patterns,
Non-tax Revenue and Governance
Christian von Haldenwang
Deutsches Institut für Entwicklungspolitik, DIE, Bonn
Maksym Ivanyna
Michigan State University
Abstract Some countries fail to ensure that their citizens and businesses make an
appropriate contribution to the financing of public tasks. But not all countries with a
low tax ratio automatically fall into this cat-egory. This paper presents an approach to
bridge the gap between probabilistic statements based on statistical analyses, and
country-specific information. Rather than defining general across-the-board criteria,
the approach accounts for different development levels and other influencing factors,
such as regional patterns, non-tax revenue and governance. Findings on individual
countries or groups of countries should put governments, donors and international
organisations in a better position to decide on tax reform programmes and aid
modalities.
JEL H20, H60, H27, H28
Keywords Tax system; tax ratio; governance; developing countries
Correspondence Christian.vonHaldenwang@die-gdi.de; ivanynam@msu.edu
© Author(s) 2012. Licensed under a Creative Commons License - Attribution-NonCommercial 2.0 Germany
Discussion Paper
No. 2012-10 | January 26, 2012 | http://www.economics-ejournal.org/economics/discussionpapers/2012-10

2
1. Introduction
Countries with a low tax yield or lax enforcement of tax laws are running out of time. Such interna-
tional players as the Organisation for Economic Co-operation and Development (OECD), the World
Bank and the G20 are calling for more determined action to combat tax evasion and avoidance. With
the world still fighting the effects of the global financial and economic crisis, there is growing pres-
sure on tax havens to increase the transparency of their tax systems and put an end to unfair com-
petitive practices. Developing countries, too, are being urged to do more to mobilize domestic re-
sources rather than rely on a constant inflow of official development assistance (ODA) funds (OECD
2010; European Commission 2010).
Some countries clearly fail to ensure that their citizens and businesses make an appropriate contribu-
tion to the financing of public tasks. In such cases there are a number of reasons for changing the
development portfolio, reducing ODA or even stopping cooperation altogether. But not all countries
with a low tax ratio automatically fall into this category. Governments, donors and international or-
ganizations need to be able to assess the performance of tax systems in a broader context of devel-
opment, governance and international cooperation.
The most important providers of this kind of information are the World Bank’s Country Policy and
Institutional Assessments (CPIAs) and Doing Business Reports, the OECD reports and databases, es-
pecially on sub-Saharan Africa, the European Commission’s Fiscal Blueprints, the Public Expenditure
and Financial Accountability (PEFA) Reports and the Collecting Taxes database funded by USAID.
Most developing countries are the subject of at least some country-specific information on tax sys-
tems and revenues.
However, much of the available in-depth information is not truly comparative,
1
The present paper combines quantitative and qualitative approaches to the comparative analysis of
tax systems. As a first step it argues that ‘tax performance’ should not be assessed against some ab-
solute values (such as the average OECD tax ratio) or theoretical tax yields. Rather, it should be ap-
proached as a function of tax ratio and development level (proxied as logged GDP per capita). The
relation between both variables is well-established both in theoretical and empirical terms (Mu-
sgrave 1969; Chelliah 1971; Tanzi 1992; Piancastelli 2001; Gambaro et al. 2007), which is why it is
used here to determine three broad groups of tax performers (‘low’, ‘average’ and ‘high’). In subse-
quent steps of the analysis, additional variables such as regional patterns, non-tax revenue and go-
vernance levels are introduced and discussed within a qualitative analytical framework, and with a
specific focus on the group of ‘low’ tax performers.
and much of the
comparative information is not truly in-depth. As a result, governments and donors usually approach
the issue of tax reform in developing countries on a strict case-by-case basis. Tax-related criteria of
donor programs or new aid modalities are defined without the potential of available comparative
data being fully tapped. The tax ratio (tax revenue as a percentage of GDP) in developing countries is
often assessed by comparing it to certain absolute threshold values, regional averages or OECD tax
ratios. None of these procedures, however, appears to be convincing, as they do not take any ac-
count at all of the conditions and development levels of individual countries.
Section 2 introduces the analytical narrative and discusses the problem of data quality and accessibil-
ity. Section 3 presents the main findings of the analysis. Section 4 summarizes the results and ad-
dresses the question of how development cooperation partners should handle the findings.
1
It could be argued that PEFA and CPIA scores do lend themselves to (within-country or cross-country)
comparisons. De Renzio (2009) and PEFA Secretariat (2009) discuss this issue with regard to PEFA scores.

3
2. Assessing tax performance concepts, literature and data
State capacity includes the capacity to collect taxes. States with low per capita income do not, as a
rule, meet the administrative and institutional requirements for a tax system at OECD level. Public
expenditure, on the other hand, rises with higher development levels, generating pressure to mobil-
ize revenue (Wagner’s Law, see Musgrave 1969; de Ferranti et al. 2004). An appropriate appraisal of
a state’s efforts to tax its citizens must therefore take its level of development into account.
Hence, the first assumption made in this paper is that the capacity of a government to raise tax rev-
enue increases with that country’s development level. This assumption does not establish a causal
relationship between tax ratio and development level. We do not think that rich countries raise more
taxes simply because they are rich.
2
“Per capita income indicates the availability of resources to be taxed, as well as the existence
of administrative capabilities for collecting taxes: at higher levels of per capita income, econ-
omies tend to be more monetized and less informal, making it easier for the government to
collect taxes”.
Rather, we suspect that a number of underlying causalities oper-
ate in this relation, some of which are mentioned, for instance, by Cheibub (1998: 358-359):
Against this background, there is little sense in assessing a low-income country’s tax effort by com-
paring it to OECD levels or to certain absolute values a reference we find astonishingly often in
development policy literature (see for instance UNDP 2010). Linking tax revenue to development
levels leads also to more realistic expectations concerning changes in tax revenue. Drastic alterations
from one year to another are typically the outcome of external shocks, or the product of data corrup-
tion and misreporting.
The paper relates the tax ratios of 177 countries to their logged GDP per capita. By means of an OLS
regression it establishes a trend line (fitted values) and determines the distance of each country from
this line. According to their position relative to the trend line, countries are then grouped into three
categories: average, high and low tax performers. Grouping countries into these broad categories
gives us a first idea of how they fare in terms of tax collection at a given point in time. By choosing
2007/08 as the most recent observation period, we cover the years before the outbreak of the world
economic crisis, with its rather distorting impacts on the public finances of many developing and
developed countries. We are also able to gather data for a large group of countries.
3
Besides gaining an impression of recent tax performance, we want to know how tax performance
changes over time. For instance, it could be that a country is still below the trend line, although it has
increased its tax ratio in recent years. Only long-term observation will provide information on the
fiscal development of a country or group of countries. We build two additional series for the periods
1997-99 and 2001-03 (roughly ten and five years from 2007/08). As governments, donors and inter-
national institutions are likely to be especially interested in countries with a persistently low, or even
diminishing, tax performance, we take a closer look at this group in our analysis.
The second assumption discussed in this paper relates to regional patterns of tax performance. Even
though every country has a tax system which reflects its specific political, social and economic condi-
2
Cheibub (1998) as well as Pessino and Fenochietto (2010) present evidence on the significance of GDP per
capita even accounting for other factors such as trade openness, agricultural production, foreign debt or
political variables. Several other studies show, however, that the variable tends to lose statistical signific-
ance or even changes signs once additional control variables are introduced. For instance, see Tanzi (1992);
Burgess and Stern (1993); Piancastelli (2001); Teera and Hudson (2004) (all controlling for country income
groups); Clist and Morrissey (2011) (distinguishing income groups and time periods); Mkandawire (2010)
(controlling for historical world market integration based on labour or cash crops).
3
For each of the countries of our sample, data from 2007 and 2008 were averaged and then compiled into
one series. For 14 countries (Anguilla, Antigua and Barbuda, Barbados, Cameroon, Dominica, Eritrea, Ga-
bon, Qatar, Oman, São Tome and Principe, Sudan, United Arab Emirates, Uzbekistan, West Bank and Gaza),
one of the two observations was missing. In these cases we took the remaining one.

4
tions, we would expect some regional factors to exert a measurable influence on the tax perfor-
mance of individual countries. To give an example, neighbouring countries may compete for private
sector investments, forcing them to take the tax levels (on corporate income, trade, etc.) of their
competitors into account. Political and cultural exchange or shared religious beliefs may contribute
to regionally similar views on the state, its relations to society and the functions it should perform. A
common colonial heritage (such as in Latin America or in parts of sub-Saharan Africa) could also lead
to a certain assimilation of taxation patterns even more so if it is connected to specific economic
structures and patterns of world market integration (Mkandawire 2010).
Few studies have explored regional patterns of tax performance. Profeta et al. (2011) examine the
relation between political variables and tax revenue, focussing on three areas: Asia, Latin America
and new EU-members. Using pooled OLS-regressions with reginal dummies they find that “in some
cases the relationship between the tax structure and political variables appears to be region-specific”
(ibid., 4). Other authors (for instance Jiménez et al. 2010; di John 2008; Burgess and Stern 1993) ac-
count for regions in some parts of their analysis, but do not approach the subject in a systematic
manner.
The third assumption guiding our analysis concerns the relationship between tax and non-tax reve-
nue. Most approaches to the subject assume that governments with ‘easy’ access to alternative
sources of finance do not have a strong incentive to engage in cumbersome domestic tax collection.
On the one hand, exporters of non-renewable energy sources (oil, gas) and minerals (copper, gold)
may not have to achieve high tax ratios in order to finance public services. A state that receives sub-
stantial rents from oil or gas exports will feel little inclination to resort to the laborious business of
depriving its citizens of some of their income when it can finance its essential functions as things are.
The best example of this is the Persian Gulf states, some of which maintain single-digit tax ratios
despite having medium to high per capita incomes.
On the other hand, states heavily dependent on ODA grants may be tempted to refrain from addi-
tional domestic revenue mobilization unless ODA conditions (such as co-financing schemes or tax
collection targets) change the incentive structure, or longer-term political perspectives lead govern-
ments actively to seek independence from ODA inflows. There is a growing body of research on these
issues (Bräutigam and Knack 2004; Knack 2008; Carter 2010; Gupta et al. 2003; Gambaro et al. 2007;
Benedek et al. 2011; Clist and Morrissey 2011), but findings are still inconclusive.
The fourth assumption concerns the governance dimension of revenue mobilization. A low tax yield
is not always the outcome of some kind of error or defective governance. Different societies have
different views on what states should do and how much they should cost. Of the OECD member
countries, the USA and Japan stand out as having a rather low tax yield, whereas the Nordic countries
are famous for their high tax ratio. Neither does our trend line necessarily represent the ‘golden
middle’ between under- and overtaxation, nor does every society aspire to become another Sweden
or Denmark.
Consequently, we should distinguish between states that collect few taxes because citizens want
them to have a low tax ratio and those where other aspects may be more important than the politi-
cal will of the citizens. Factors such as democratic participation, free and fair elections and regime
stability determine the capacity of societies to reach political decisions based on the common inter-
est, while such factors as administrative capacity, level of corruption and rule of law determine the
capacity of public administrations to implement these policies.
Societies with low levels of governance are typically not in a position to choose and implement a tax
system from a common interest perspective. Hence, in cases where low tax performance coincides
with low levels of governance we find it hard to believe that the tax ratio is the product of transpa-
rent, democratic decision-making and capable public administration. Rather, we would assume that
in these cases some powerful groups are imposing a tax system according to their particular interests
or that they are successfully obstructing tax reform initiatives. In addition, we consider it easier in

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This paper presents an approach to bridge the gap between probabilistic statements based on statistical analyses, and country-specific information.