|
DETERMINANTS OF ECONOMIC GROWTH
A PANEL DATA OF 60 COUNTRIES
Thomas Mwebaze
March 2002
Introduction
This paper is based on the study by William Easterly and
Sergio Rebelo; Fiscal policy and Economic growth, an empirical investigation.
The study is an extension of the work by Robert Barro. We use a panel of annual
data for 60 countries from 1960 to 1996 instead of a cross section data.
Easterly and Rebelo state that fiscal policy is an important
growth determinant.
In their study, using cross section data of 100 countries,
Easterly and Rebelo came up
with the following findings;
- Government consumption is
robustly correlated with growth
- Government revenue is also
consistently correlated with growth and private investment.
| - That tax revenue has a negative impact on
growth. |
| |
| - Higher income countries have relatively
higher government health expenditure and |
| |
| larger social security
programs. |
| |
| - Poor countries have high debt burden, which
affects their rate of growth. |
According to Easterly and Rebelo, high levels of inequality
in income distribution observed prior to 1970 were associated with higher levels
of publicly provided education in the period from 1970 –1988. They also come
to a conclusion that high public spending on infrastructure investment raises
growth.
The results of Easterly and Rebolo are presented in table 1
and 2 below.
| Table 1. |
|
|
|
| Regression |
with per capita GDP growth rate |
as a dependent variable |
|
|
|
|
|
| Independent |
Variable |
Coeffient |
|
|
|
|
|
| Constant |
|
0.01 |
|
| |
|
(1.19) |
|
| |
|
|
|
| Primary enrollment |
0.0247 |
|
| |
|
(2.24) |
|
| |
|
|
|
| Secondary enrollment |
0.0439 |
|
| |
|
(2.09) |
|
| |
|
|
|
| Marginal tax rate with respect to
GDP |
-0.064 |
|
| |
|
(-2.04) |
|
The t-statistics are given in parentheses.
Table 2.
Partial Correlation between fiscal aggregates and
Growth
| Fiscal Variable |
Basic Regression |
|
|
|
|
| Government
Surplus/GDP |
0.142 |
|
| |
(3.13) |
|
| |
|
|
| Government Consumption/GDP |
-0.098 |
|
| |
(-2.68) |
|
| |
|
|
| Government Revenue/
GDP |
1.584 |
|
| |
(5.36) |
|
| |
|
|
| Expenditure on general public
service/GDP |
-0.236 |
|
| |
(-3.38) |
|
| |
|
|
| Marginal tax rate |
-0.064 |
|
| |
(-2.04) |
|
| |
|
|
The coefficients reported in table 2 above are all significant.
Literature Review
Empirical findings of Barro Robert J in August 1990 strongly
support the general notion of conditional convergence. That for given starting
level of real per capita GDP, the growth rate is enhanced by higher initial
schooling and life expectancy, lower fertility, lower government consumption,
better maintenance of rule of law, low inflation and improvement in the terms of
trade. For given values of these and other variables, growth is negatively
related to the initial level of real per capita GDP. Political freedom has only
a weak effect on growth but there is some indication of a non-linear relation.
In the initial phase, growth in developing countries is
hindered primarily owing to the lack of the basic economic foundations in the
shape of the growth of environmental facilities and services. Their growth
demands considerable investments in social and economic overheads. This is the
initial phase of the process of development where the government of an under
developed country is required to create the basic economic foundation for
development by direct investment in social and economic overheads
According to Barro, higher initial per capita GDP is
substantially negatively related to subsequent per capita growth. Per capita
growth is positively related to the proxies for the initial human capital,
holding fixed GDP60 and the other variables.
The idea that government policy is important in shaping the
growth process has been a recurrent theme of the development literature for
the past three decades (see for instance Krueger (1978) and Chenery (1986)).
Growth theorists have also shared the interest in the role
of public policy and the neoclassical growth model of Solow (1956) has been
used as a testing ground to study the dynamic effects
of numerous policies.
Under the revolutionary impact of Keynes’ book published in
1936, professional economists shifted their interest to an aggregate analysis of
the economy. Keynes’ theory of national income and employment emphasized the
fact that government’s fiscal operations could be administered so as to
influence the level of income and employment. In addition to the aim of securing
collective consumption, taxes could be imposed to curtail effect ive demand, and
expenditure could be incurred in order to increase investment, income, and
employment. Compensatory financing was placed at the core of the new
macroeconomics. The budgetary weapons –taxes, borrowing and expenditure, -were
analysed in the light of their effectiveness in promoting full employment with
stable prices. In this way, the modern concept of fiscal policy as an instrument
of economic growth, emerged.
The Keynesian exposition was a short-run analysis of the capital
formation process. It took account of the income –increasing effects of investment.
Later developments saw a shift from the Keynesian short-run emphasis to the
post –Keynesian growth analysis of the Harrod Domar type. These developments
considered both the short-term incomes creating effects and the long –run capacity
–creating aspects of investment. In the final analysis, capital formation was
assigned a decisive role in development process.
By the early 1950’s the Keynesian prescription of government
intervention in the nation’s economic activities in order to promote growth
received wide acceptance. Keynesian analysis with its later refinements was
not applicable to an underdeveloped country because it had been cast in terms
of the conditions existing in advanced countrie s. The policy measures, which
flowed from the analysis, would yield different results when applied to a developing
country. Suitable changes in economic priorities and in fiscal policy measures
are required for countries at the stage of development.
Simon Kuznets (1952) observes that there is enormous variety
in the different growth processes in the world.
For which reason, where there’s
formulating or evaluating theoretical
assumptions as to economic growth, any attempt to go beyond mere lists of factors
would have to be made, bearing in mind the characteristics of countries and
of the periods relating to the growth process it is intended to explain.
The determinants of growth methodology initiated by Moses
Abramovitiz (1956) and Robert M Solow (1956) re lies heavily on the classical
conception of an aggregate production function.. Solow’s (1956) growth theory,
in its stripped –down model, asks the question: What are the determinants of
sustainable growth of real income per person in an isolated economy producing
a single product? This simple model assumes that the state of technology does
not change over time, and that the labour does not grow, and capital stock does
not depreciate.
Ricardo demonstrated that the ultimate outcome of the growth
process rested up three basic propositions: (i) the Malthusian law of
population, which held that population unless checked by disease, famine or war
tends to expand at an exponential rate. (ii) The fundamental economic principle
of diminishing return especially as applied to the scarce resource of
agricultural land .
(iii) Theory of capital accumulation in which profit is a
key variable.
The great importance of fiscal policy in many developing
countries arises from the fact that the state, under democratic auspices, is
called upon to play an active and important role in promoting economic growth.
For various reasons, the governments of all developing countries virtually have
been forced to play this role. In order to do this effectively, they have to
interfere in the economic life of the country, control and regulate economic
activities, and compel or induce people to behave in different ways at the cost
of worsening its disincentive effects.
The only feature that is most common to most developing countries
is the shortage of revenue, which makes it impossible for them to provide essential
public services on the required scale. The inadequacy of public revenue has
two important consequences. It forces undue economies precisely in those fields
of public expenditure (like health and education) which are more easily sacrificed
in the short run but are the most important from the point of view of long-run
development. It also yields persistent budgetary deficits, which force the monetary
authorities to follow highly restrictive credit policies (to protect the balance
of payments and to limit the pace of inflation), which in turn has highly undesirable
effects on the pace of economic growth.
Those who believe that insufficient growth and investment
is mainly a consequence of a lack of resources are chiefly
concerned with increasing the resources available for investment through additional
taxation, even at the cost of worsening its disincentive
effects. The only feature that is most common to most developing countries is
the shortage of revenue which makes it impossible for
them to provide essential public services on the required scale. The inadequacy
of public revenue has two important consequences. It forces undue economies
precisely in those fields of public expenditure (like health and education)
which are more easily sacrificed in the short run but are the most important
from the point of view of long-run development. It also yields persistent budgetary
deficits, which force the monetary authorities to follow highly restrictive
credit policies (to protect the balance of payments and to limit the pace of
inflation), which in turn has highly undesirable effects on the pace of economic
growth.
The resurgence of interest in growth theory may be linked
to the twin contributions of Romer (1986) and Lucas (1988), who redirected the
traditional focus on the accumulation of physical capital as a transitory source
of growth to the accumulation of skills through education and training. Building
on the foundations that Solow had established, these theorists incorporated
technological change and imperfect competition to explain economic growth. One
of the predictions of the neoclassical growth theory is that the growth rate
of real income per capita of countries with identical preferences, technologies
and population growth will converge over time due to higher rates of physical
investment in the initially poorer countries, as capital moves in search of
the higher rates of return.
A key assumption, following Lucas (1988), is that technology
in each country is virtually identical; differences in income and productivity
are thus entirely attributable to differences in relative factor endowments,
human capital and physical capital stocks per worker.
Dhura Dhaheshwar and Micheal T., in their study on a large
number of African countries, investigates empirically the determinants of
economic growth for the period 1981-92. Their results indicate that an increase
in private investments has a relatively large positive impact on per capita
growth. They state that growth is stimulated by public policies that lower the
budget deficit in relation to GDP. That convergence of per capita income occurs
after controlling for capital development and public policies.
Hsing, Y. and Hsieh, W. examine the determinants of the growth
rate of real output for China with an emphasis on institutional, social and
political changes and developments. They found out that growth rate of real
out put is positively correlated with employment growth or the change in employment
to real output ratio, investment /output ratio, human capital, but negatively
associated with the great leap forward, and the cultural revolution. The coefficients
of deficit financing the openness of the economy , and dummy variables for economic
and agricultural reforms are found to be insignificant.
Data and Variables
This work follows Easterly and Rebelo’s regression using
data published by World Bank and from OECD National Accounts: Volume II
(1983,1990,1996). A sample of 60 developing countries have been analyzed and the
results compared with the arguments advanced by Easterly and Rebelo . We
scrutinise the observations and drop the outliers. The countries dropped are
Lebanon and Rwanda, otherwise if they were to be included, they would affect our
results badly.
In preliminary work, we found that pushing the sample period
back before 1970 sharply reduced the number of countries for which the data
were available.
Summary statistics
Table 3. All the 60 countries
Variable Tax revenue Primary School Secondary school Total
Revenue Government Debt Gov't consumption
| Obs |
|
Mean |
|
Std. Dev. |
|
|
|
|
|
|
|
| |
|
|
|
|
|
| 1028 |
|
5799 |
|
9.4 |
|
| |
|
|
|
|
|
| 754 |
|
5313 |
|
29.1 |
|
| |
|
|
|
|
|
| 742 |
|
3167 |
|
32.2 |
|
| |
|
|
|
|
|
| 1034 |
|
5506 |
|
11.3 |
|
| |
|
|
|
|
|
| 740 |
|
5636 |
|
46.1 |
|
| |
|
|
|
|
|
| 1835 |
|
3198 |
|
5.6 |
|
As reflected in the table above the observation for schooling
are few. This is mainly in the 60's and the 70's where data collection and storage
was very expensive in developing countries.
Hypotheses
The following hypotheses are tested
1- Government Revenue /GDP rises with per capita
income
2- Government consumption
correla ted with growth.
3- Human capital is
consistently correlated with growth
4- High government debt has a
strong negative impact on growth.
5- Domestic taxes /GDP falls
with increase per capita income
Model
gdp= ? +
?
1
tax
+?
2
prm
+?
3
sec
+?
4 rev
+?
5
dod
+ ? 6
con
+?
where ; gdp – Growth rate per capita GDP(1960-1996) tax -
Tax Revenue (% of GDP) prm - primary school enrollment(% gross) sec - secondary
school enrollment(% gross) rev - Total Revenue(% of GDP) dod - Government debt
(% of GDP) con - Government consumption (% of GDP)
School enrollment variables are included as proxies for the
level of human capital
Empirical Analysis
Below we present simple correlation of fiscal variables with
per capita growth rate Data range 1960 -1996 Correlation coefficient Tax revenue
% of GDP -0.0875
Total Revenue % of GDP 0.0915 Government debt % of GDP
-0.1036 Government consumption % of GDP -0.0915
We now look at the regression, starting with simple tax
regression as presented below.
Gdp= ? +
? tax +?
Below(table3), we have the coefficients and the t-statistics
for tax revenue. As Easterly and Rebelo, our model predicts a detrimental effect
on growth. Taxes affect the rate of growth by reducing the private returns to
accumulation.
Table 3
| GDP as dependent Variable |
Tax coefficient |
|
|
|
|
| All countries |
-0.497 |
|
| |
(-2.74) |
|
| |
|
|
| African Countries |
0.103 |
|
| |
(2.16) |
|
| |
|
|
| Other Countries(excluding Africa) |
-0.091 |
|
| |
(-5.89) |
|
| |
|
|
Comparing African countries with other countries, we get a
positive coefficient for tax
revenue in the case of African countries and a negative for
others. This is explained by the fact that most African
countries depend on taxes as a source of revenue to finance investment projects
which lead to growth. Most investments in African countries are public investments
thus the impact is greater than the distortionary effects.
When we expand our analysis by including the variable for
primary and secondary education, we get a positive coefficient for primary,
which is highly significant, but a negative coefficient for secondary. This
explains that human capital is important for growth but it also indicates
something to do with convergence. This will be explored later when we look at
different groups of countries.
Table 2-7 shows results for the 57 countries by including
one variable at time
| Independent Variable |
Coefficient |
|
|
|
|
| Tax revenue ( %GDP) |
-0.147 |
|
| |
(-2.78) |
|
| |
|
|
| Primary school enrollment(% gross) |
0.036 |
|
| |
(2.90) |
|
| |
|
|
| Secondary school enrollment(%
gross) |
-0.025 |
|
| |
(-2.49) |
|
| |
|
|
| Total Revenue (% of GDP) |
0.102 |
|
| |
(2.28) |
|
|
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
|
| |
|
|
| Independent Variables |
Coefficient |
|
|
|
|
Tax Revenue(% of GDP) Primary school enronment Secondary School
enronment Total Revenue Government Debt Government consumption
Table 5
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.1481998 |
|
.0922807 |
|
-1.606 |
|
0.110 |
|
-.3300491 |
|
.0336494 |
|
| prm | |
.0553792 |
|
.0167283 |
|
3.311 |
|
0.001 |
|
.0224141 |
|
.0883442 |
|
| sec | |
-.0257697 |
|
.0124637 |
|
-2.068 |
|
0.040 |
|
-.0503307 |
|
-.0012087 |
|
| rev | |
.1236253 |
|
.0730897 |
|
1.691 |
|
0.092 |
|
-.0204062 |
|
.2676567 |
|
| dod | |
-.0047023 |
|
.0083226 |
|
-0.565 |
|
0.573 |
|
-.0211029 |
|
.0116983 |
|
| _cons
| |
.2451445 |
|
1.400707 |
|
0.175 |
|
0.861 |
|
-2.515105 |
|
3.005394 |
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| Table 6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.1549699 |
|
.0924908 |
|
-1.676 |
|
0.095 |
|
-.3372422 |
|
.0273024 |
|
| prm | |
.0525791 |
|
.0168629 |
|
3.118 |
|
0.002 |
|
.0193472 |
|
.085811 |
|
| sec | |
-.0253909 |
|
.0124689 |
|
-2.036 |
|
0.043 |
|
-.0499634 |
|
-.0008183 |
|
| rev | |
.1640287 |
|
.0783619 |
|
2.093 |
|
0.037 |
|
.0096004 |
|
.318457 |
|
| dod | |
-.0018919 |
|
.0085836 |
|
-0.220 |
|
0.826 |
|
-.0188076 |
|
.0150238 |
|
| con | |
-.0881509 |
|
.0627742 |
|
-1.404 |
|
0.162 |
|
-.2118605 |
|
.0355587 |
|
| _cons
| |
.8645315 |
|
1.467253 |
|
0.589 |
|
0.556 |
|
-2.026994 |
|
3.756057 |
|
------------------------------------------------------------------------------
As indicated in tables above,we get a positive coefficient
for government revenue as Easterly and Rebelo confirming the argument that the
two are positively correlated. As shown in table 5 and 6 above, the effects of
government debt is more complex. Government debt should reduce the rate of
growth but we find the coefficient to be insignificant. There is a possibility
of government debt to be correlated with government consumption. Regression
results without debt variable gives a negatively significant coefficient for
Government consumption.
Table 7.
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.094908 |
|
.0740183 |
|
-1.282 |
|
0.201 |
|
-.2404411 |
|
.0506252 |
|
| prm | |
.0360993 |
|
.0127814 |
|
2.824 |
|
0.005 |
|
.0109688 |
|
.0612298 |
|
| sec | |
-.0270829 |
|
.0104549 |
|
-2.590 |
|
0.010 |
|
-.047639 |
|
-.0065269 |
|
| rev | |
.0986297 |
|
.0628456 |
|
1.569 |
|
0.117 |
|
-.024936 |
|
.2221953 |
|
| con | |
-.1138569 |
|
.0550627 |
|
-2.068 |
|
0.039 |
|
-.2221199 |
|
-.0055939 |
|
| _cons
| |
3.238555 |
|
1.116368 |
|
2.901 |
|
0.004 |
|
1.043578 |
|
5.433532 |
|
------------------------------------------------------------------------------
We also find out that GDP growth is negatively correlated
with the government consumption levels as in Barro(1991),
and Easterly and Rebelo.
When we expand our re gression by including other
explanatory variables, one at a time, we find that the coefficients tend to be
insignificant. This means that as we add on more variables, we lose some
efficiency.
We continue to investigate the differences between African
countries and others by adding more explanatory variables and the results are
presented in tables 9 to 16. When we add the coefficient for primary and
secondary for African countries, the coefficient of tax revenue is effected in
fact it becomes insignificant hence a possibility that the three are correlated.
With a panel set, containing a number of observations for each country, there
may be country –specific effects, which are not captured by the explanatory
variables, in which case the error term will be autocorrelated within country
observations. Greene (1990) explains how it is possible to test for such effects
and obtain unbiased estimates if they are present.
Table 9: African Countries
Gap | Coef. Std. Err.
t P>|t| [95% Con. Interval]
--------- + --------------------------------------------------------------------
| Tax |.0464313
.0971075 |
0.478 |
|
0.633 |
|
-.1455091 |
|
.2383716 |
|
| Prm |.0413782
.0282064 |
1.467 |
|
0.145 |
|
-.0143738 |
|
.0971303 |
|
| Sec
|-.0628632.0438091 |
-1.435 |
|
0.153 |
|
-.1494551 |
|
.0237287 |
|
| _Cons |1.110448
1.610153 |
0.690 |
|
0.492 |
|
-2.07214 |
|
4.293036 |
|
------------------------------------------------------------------------------
Table 10: Others
------------------------------------------------------------------------------
| Gap | Coef. Std.
Err. |
|
t |
|
P>|t| |
|
[95% Con.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| Tax |-.075571 |
.0273848 |
|
-2.760 |
|
0.006 |
|
-.1295054 |
|
-.0216366 |
|
| prm | .0088549 |
.0176908 |
|
0.501 |
|
0.617 |
|
-.0259872 |
|
.043697 |
|
| sec |-.0205624 |
.0108874 |
|
-1.889 |
|
0.060 |
|
-.0420052 |
|
.0008803 |
|
| _cons |
6.078596 |
1.677689 |
|
3.623 |
|
0.000 |
|
2.77439 |
|
9.382803 |
|
------------------------------------------------------------------------------
Table 11: African Countries
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.1592803 |
|
.1778858 |
|
-0.895 |
|
0.372 |
|
-.5109482 |
|
.1923876 |
|
| prm | |
.0352979 |
|
.0285398 |
|
1.237 |
|
0.218 |
|
-.0211234 |
|
.0917193 |
|
| sec | |
-.0662998 |
|
.0440032 |
|
-1.507 |
|
0.134 |
|
-.1532911 |
|
.0206915 |
|
| rev | |
.1784434 |
|
.1265216 |
|
1.410 |
|
0.161 |
|
-.0716811 |
|
.4285679 |
|
| _cons
| |
1.447895 |
|
1.62803 |
|
0.889 |
|
0.375 |
|
-1.770609 |
|
4.6664 |
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| Table 12:
Others |
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.1335267 |
|
.0423625 |
|
-3.152 |
|
0.002 |
|
-.2169661 |
|
-.0500873 |
|
| prm | |
.0118427 |
|
.0177013 |
|
0.669 |
|
0.504 |
|
-.0230228 |
|
.0467082 |
|
| sec | |
-.0259502 |
|
.0111989 |
|
-2.317 |
|
0.021 |
|
-.048008 |
|
-.0038923 |
|
| rev | |
.0684725 |
|
.0384487 |
|
1.781 |
|
0.076 |
|
-.0072581 |
|
.1442031 |
|
| _cons
| |
5.672878 |
|
1.692987 |
|
3.351 |
|
0.001 |
|
2.33828 |
|
9.007477 |
|
------------------------------------------------------------------------------
Table 13: African Countries
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
.1542716 |
|
.1799147 |
|
0.857 |
|
0.394 |
|
-.2044682 |
|
.5130114 |
|
| prm | |
.0475866 |
|
.0363429 |
|
1.309 |
|
0.195 |
|
-.0248791 |
|
.1200524 |
|
| sec | |
-.0910485 |
|
.0437026 |
|
-2.083 |
|
0.041 |
|
-.1781891 |
|
-.0039079 |
|
| rev | |
.0852243 |
|
.1163317 |
|
0.733 |
|
0.466 |
|
-.1467346 |
|
.3171832 |
|
| dod | |
-.0263112 |
|
.0216416 |
|
-1.216 |
|
0.228 |
|
-.0694633 |
|
.0168409 |
|
| _cons
| |
-2.406815 |
|
2.183507 |
|
-1.102 |
|
0.274 |
|
-6.760604 |
|
1.946973 |
|
------------------------------------------------------------------------------
Table 14: others
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.2480891 |
|
.1276637 |
|
-1.943 |
|
0.054 |
|
-.5003823 |
|
.0042041 |
|
| prm | |
.0036076 |
|
.0216641 |
|
0.167 |
|
0.868 |
|
-.0392058 |
|
.0464209 |
|
| sec | |
-.0362744 |
|
.0124495 |
|
-2.914 |
|
0.004 |
|
-.0608775 |
|
-.0116714 |
|
| rev | |
.1685113 |
|
.1235886 |
|
1.363 |
|
0.175 |
|
-.0757287 |
|
.4127513 |
|
| dod | |
.0048373 |
|
.0084579 |
|
0.572 |
|
0.568 |
|
-.0118774 |
|
.0215521 |
|
| _cons
| |
7.356212 |
|
2.070698 |
|
3.553 |
|
0.001 |
|
3.264029 |
|
11.44839 |
|
------------------------------------------------------------------------------
| Table 15: African
Countries |
|
|
|
|
|
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
.1479619 |
|
.1810452 |
|
0.817 |
|
0.417 |
|
-.2131213 |
|
.5090451 |
|
| prm | |
.0442782 |
|
.0369274 |
|
1.199 |
|
0.235 |
|
-.0293713 |
|
.1179276 |
|
| sec | |
-.0900382 |
|
.0439348 |
|
-2.049 |
|
0.044 |
|
-.1776634 |
|
-.002413 |
|
| rev | |
.0631813 |
|
.122562 |
|
0.516 |
|
0.608 |
|
-.1812609 |
|
.3076234 |
|
| dod | |
-.0284667 |
|
.0220384 |
|
-1.292 |
|
0.201 |
|
-.072421 |
|
.0154875 |
|
| con | |
.0926538 |
|
.155267 |
|
0.597 |
|
0.553 |
|
-.2170164 |
|
.4023239 |
|
| _cons
| |
-2.952889 |
|
2.376707 |
|
-1.242 |
|
0.218 |
|
-7.693082 |
|
1.787304 |
|
------------------------------------------------------------------------------
Table 16: Others
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.2851571 |
|
.1301354 |
|
-2.191 |
|
0.030 |
|
-.5423644 |
|
-.0279499 |
|
| prm | |
-.0016587 |
|
.022057 |
|
-0.075 |
|
0.940 |
|
-.0452534 |
|
.041936 |
|
| sec | |
-.0332063 |
|
.0126409 |
|
-2.627 |
|
0.010 |
|
-.0581904 |
|
-.0082221 |
|
| rev | |
.2340355 |
|
.1312573 |
|
1.783 |
|
0.077 |
|
-.0253893 |
|
.4934603 |
|
| dod | |
.0061913 |
|
.0085889 |
|
0.721 |
|
0.472 |
|
-.0107844 |
|
.0231669 |
|
| con | |
-.0791448 |
|
.0591151 |
|
-1.339 |
|
0.183 |
|
-.1959834 |
|
.0376938 |
|
| _cons
| |
7.974671 |
|
2.12245 |
|
3.757 |
|
0.000 |
|
3.779734 |
|
12.16961 |
|
------------------------------------------------------------------------------
Table17-24 below, shows the results for the group
wise regressions depending on the level of development. We have four groups
arranged according to the level of development. Group 1 represents less
developed countries.
We find a positive relationship between gdp and tax
for less developed countries. As Easterly and Rebelo, we get a negative
relationship for more developed countries.
Table 17: group 1
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
.0772617 |
|
.0489096 |
|
1.580 |
|
0.115 |
|
-.0188894 |
|
.1734129 |
|
| _cons
| |
2.578367 |
|
.9415528 |
|
2.738 |
|
0.006 |
|
.727371 |
|
4.429363 |
|
------------------------------------------------------------------------------
Table 18: group 2
------------------------------------------------------------------------------
gdp | Coef.
Std. Err. t
P>|t| [95% Conf. Interval]
--------- + -------------------------------------------------------------------- tax
| -.4808518 .1135395 -4.235 0.000 -.7075408 -.2541628
_cons | 9.97274
1.63171 6.112
0.000 6.714926
13.23055
------------------------------------------------------------------------------
Table 19: group 3
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.07821 |
|
.0208529 |
|
-3.751 |
|
0.000 |
|
-.1192185 |
|
-.0372016 |
|
| _cons
| |
4.974114 |
|
.4824877 |
|
10.309 |
|
0.000 |
|
4.025274 |
|
5.922953 |
|
------------------------------------------------------------------------------
Table 20: group 4
--
----------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.1388482 |
|
.0203391 |
|
-6.827 |
|
0.000 |
|
-.1789898 |
|
-.0987067 |
|
| _cons
| |
8.427535 |
|
.5661248 |
|
14.886 |
|
0.000 |
|
7.310224 |
|
9.544846 |
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| Table 21: group
1 |
|
|
|
|
|
|
|
|
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
.0203214 |
|
.1033258 |
|
0.197 |
|
0.844 |
|
-.1837768 |
|
.2244196 |
|
| prm | |
.0426921 |
|
.0300891 |
|
1.419 |
|
0.158 |
|
-.0167424 |
|
.1021267 |
|
| sec | |
-.0844401 |
|
.0463384 |
|
-1.822 |
|
0.070 |
|
-.1759718 |
|
.0070916 |
|
| _cons
| |
2.290504 |
|
1.705483 |
|
1.343 |
|
0.181 |
|
-1.078316 |
|
5.659323 |
|
------------------------------------------------------------------------------
Table 22: group 2
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.3860825 |
|
.1042955 |
|
-3.702 |
|
0.001 |
|
-.6008831 |
|
-.1712819 |
|
| prm | |
.0643085 |
|
.0746992 |
|
0.861 |
|
0.397 |
|
-.0895374 |
|
.2181545 |
|
| sec | |
.0150489 |
|
.0371781 |
|
0.405 |
|
0.689 |
|
-.0615207 |
|
.0916186 |
|
| _cons
| |
2.065296 |
|
10.09487 |
|
0.205 |
|
0.840 |
|
-18.72548 |
|
22.85607 |
|
|
|
| |
|
|
|
|
|
|
|
|
|
|
|
|
| Table 23: group
3 |
|
|
|
|
|
|
|
|
|
|
|
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.052597 |
|
.0572934 |
|
-0.918 |
|
0.360 |
|
-.1658222 |
|
.0606281 |
|
| prm | |
-.0017037 |
|
.0223861 |
|
-0.076 |
|
0.939 |
|
-.0459438 |
|
.0425364 |
|
| sec | |
-.0215855 |
|
.0181823 |
|
-1.187 |
|
0.237 |
|
-.0575179 |
|
.0143469 |
|
| _cons
| |
6.158191 |
|
1.978682 |
|
3.112 |
|
0.002 |
|
2.247853 |
|
10.06853 |
|
------------------------------------------------------------------------------
Table 24: group 4
------------------------------------------------------------------------------
| gdp | |
Coef. |
|
Std. Err. |
|
t |
|
P>|t| |
|
[95% Conf.
Interval] |
|
| +-------------------------------------------------------------------- |
|
|
|
| tax | |
-.0832185 |
|
.0285903 |
|
-2.911 |
|
0.005 |
|
-.1401988 |
|
-.0262382 |
|
| prm | |
-.0417991 |
|
.0503737 |
|
-0.830 |
|
0.409 |
|
-.1421938 |
|
.0585955 |
|
| sec | |
-.0672954 |
|
.0166108 |
|
-4.051 |
|
0.000 |
|
-.1004007 |
|
-.03419 |
|
| _cons
| |
16.29064 |
|
5.330568 |
|
3.056 |
|
0.003 |
|
5.666832 |
|
26.91445 |
|
------------------------------------------------------------------------------
For group one, which represents less developed countries, the coefficient for
tax revenue is insignificant. This is an indication that tax revenue in those
countries does not affect GDP growth rates. From our results for the level of
development above, we get a negative coefficient for secondary school enrollment
for 3 groups. There is an indication of convergence hence in line with barro’s
and Dhura’s findings about conditional convergence.
In this paper we also investigate the presence of endogeneity between GDP growth
rate, tax revenue and government consumption, implying that the regressions
that we reported are contaminated by simultaneous equation bias. We use the
lagged variables as our instruments and the 2SLS test does not indicate presence
of endogeneity
Summary and Conclusion
We have found out that government consumption and tax revenue
are correlated with growth. That tax increases have detrimental effects on growth.
This is because most countries depend on income tax as a source of tax revenue.
The sharp increase in public expenditure relative to
GDP and increase in tax burdens and fiscal deficits are seen as major cause
of the difficulties many countries are facing in terms of sluggish economic
growth.
The group wise results show that the impact of government
consumption levels on GDP growth is indeed as predicted
by Easterly and Robero.
Due to the shortage of voluntary savings, developing
countries, especially African countries, are compelled to resort to high
taxation as a device for mobilising resources needed for their development
plans. We get positive coefficient for tax revenue for African countries hence a
difference with Easterly and Rebelo’s results.
The empirical results in this study tend to suggest that the
stages of economic development do indeed matter in identifying the variables
that determine economic growth.
We also note the importance of human capital in the process
of growth. The coefficient for secondary school
is mainly negative.
The results thus predict conditional
convergence.
The most important factors determining the process of economic
growth appear to be tax revenue, government consumption
and human capital.
Reference
Abramavitz, M 1956.” Resources and Output Trends in the United
States since 1870” . American
Economic Review .46 5-23
Barro, R.J.(1990) Economic Growth in a Cross-Sction of
Countries. Quarterly Journal of Economics 56.
407-443.
Chenery H., S. Robinson and
Syrquin (1986) “Industrialisation and
Growth: A comparative Study
“ Oxford: Oxf ord University Press
Dhura Dhaneshwar , Micheal T., “Growth in Sub-Saharan Africa”.
International Monetary
Fund , Working Paper: 95/136. P21
Evsey D. Domar, “ Capital Expansion, Rate of growth and
employment,” Econometrica XLIV no.2
Greene W. H. (1990), Econometrics Analysis. New York,
Macmillan.
Harrod, R.F.,” An Essay in Dynamics Theory”, Economic Journal Vol. XLX, no.193 March
1939 pp 14-33.
Hsing, Y ; Hsieh, W. , “The Determinants of Economic Growth
and Policy Implication”: The case of China. Journal
of Economics. Vol.22 (1). p 15-21 1996
Keynes J.M., The general theory of employment, Interest and
Money; London; Macmillan and co.ltd 1936.
Krueger, A. (1978) “ Foreign Trade Regimes and /Economic
Development: Liberalisation Attempts and consequences “. Cambridge MA: NBER.
Kuznets, Simon. “Economic Growth and Income Inequality”.
Development Economics Volume 2. Lal, Deepak, ed
Mankiw NG, “The Growth of nations Bookings papers on economic
activity” Sept. 1995 The Bookings Institute
Ricardo Campbell Rita “US social Security Under Low
Fertilty”. Population and Development Review
Volume 12 p296-312 supp 1986.
Romer, P. (1990) “Endogenous Technological Change”.
Journal of political Economy 98 S71-S102.
Robert E. Lucas, “ On the Mechanism of Economic
Development”, Journal of Monetary
Economics, vol. 22 (1) (July 1988).
Solow, R. M. (1956), “ A contribution to the theory of
economic growth”. Quarterly Journal of
Economics 70 :65-94
OECD: National Accounts Volume
II: Datailed Tables Paris OECD, 1983,1990,1996.
|