Foreign aid, domestic savings and economic growth (Pakistan: 1960 to 1988).
Khan, Naheed Z. ; Rahim, Eric
INTRODUCTION
One of the core tenets of foreign aid theory, particularly as
encapsulated in the two-gap model, is that the insertion of foreign
resources via free grants, loans, direct investment etc., into a
developing economy sets in motion a causal chain of positive influences
in the following broad manner (1):
aid [right arrow] increase in investible resources [right arrow]
increase in domestic investment more rapid rate of economic growth.
Spirited and specific challenges to this approach came from many
critics, supported greatly by a number of broad theoretical (2) and
empirical analyses. For a large part of the latter, the available
evidence pointed to a negative relationship between aid and domestic
savings. The evidence was largely based on cross-sectional data, showing
that, there was, in addition, reason to suggest a negative relationship
between aid and economic growth. (3)
The aim of this study is to provide some quantitative evidence on
the relationship between foreign aid, domestic savings and economic
growth for Pakistan. The analysis is carried out in three parts. Part
one contains the methodology and the description of the data. Part two
explores the correlation between aid and several other explanatory
variables with Pakistan's savings rate, while part three attempts
to analyse and explain the regression findings in terms of the effect of
aid on economic growth.
1. METHODOLOGY AND DATA
We intend to examine the impact of annual changes in the net
economic assistance receipts on changes in two indicators of economic
development, domestic savings and economic growth. However, we also
intend to examine the effect of some distinct types of foreign capital
inflow separately. By dividing foreign capital inflow into three
distinct categories, foreign direct investment, (4) grants (5) and
loans, (6) the analysis is also carried out in terms of their separate
effects on the economy. In this analysis, along with economic
assistance, we also examine the impact, on our dependent variables, of
annual changes in foreign exchange earnings via home remittances. The
latter is reckoned to be a very important exogenous source of foreign
exchange earnings by Pakistan since the second half of the 1970s.
We are using single equation models for both domestic savings and
GNP, formulated in the following manner:
Y = [X.bar][beta] + u
To eliminate year-specific effects, we have introduced in our
growth equations a set of year dummy variables. We adopt the
"general to specific" search method, (7) and we intend to
estimate both restricted and unrestricted versions of the model for each
dependent variable. The restricted version is formed under the
restriction that the effect of foreign aid could only be measured when
all aid is treated as an aggregate homogeneous inflow. This restriction
is removed in the unrestricted version. Also, we will generally impose
straightforward exclusion restrictions on our models by dropping those
variables for which the t-statistic is less than one. We are using the
Ordinary Least Squares method to estimate our models.
All domestic variables are measured in constant market prices of
Pakistan, with 1959-60 as the base year. We use the GDP deflator of
industrial countries for all international flows. The data for all
variables, except those of foreign capital inflows, are taken from the
Pakistan Economic Survey. The foreign capital data are taken from the
International Monetary Fund, Balance of Payments Year Book. Measurement
is in Pakistani Rupees.
2. FOREIGN CAPITAL INFLOW AND DOMESTIC SAVINGS
For the statistical measurement of the relationship, we define the
following single equation savings models.
Restricted Form Equation
[S.sub.t] / [Y.sub.t] = [[beta].sub.o] + [[beta].sub.1F] t /
[Y.sup.t] + [[beta].sub.2] [REM.sub.t] / [Y.sub.t] + [[beta].sub.3]
[RRI.sub.t] = [[beta].sub.4] [PCI.sub.t] + [[beta].sub.5] [S.sub.t-1] /
[Y.sub.t-1] + u (1)
Unrestricted Form Equation
[S.sub.t] / [Y.sub.t] = [[beta].sub.o] + [[beta].sub.1] [FD1.sub.t]
/ [Y.sub.t] + [[beta].sub.2][GRT.sub.t] / [Y.sub.t] + [[beta].sub.3]
[CRE.sub.t] / [Y.sub.t] [beta].sub.4] [REM.sub.t] / [Y.sub.t] +
[[beta].sub.5] [RRI.sub.t] + [[beta].sub.6] [PCI.sub.t] + [[beta].sub.7]
[S.sub.t-1] / [Y.sub.t-1] + u ... ... ... (2)
where, [S.sub.t] is domestic savings; [Y.sub.t] it GNP; [F.sub.t]
is foreign assistance; [REM.sub.t], is home remittances; [RRI.sub.t], is
the real rate of interest; [PCI.sub.t], is the growth rate of per capita
income; [FDI.sub.t] is Foreign direct investment; [GRT.sub.t] is Foreign
grants; [CRE.sub.t] is Foreign loans; and u is the stochastic error
term.
The addition of a lagged value of the dependent variable
([S.sub.t-1]) is attributable to Brown, (8) who assumed that people
usually change their behaviour slowly and previous consumption affects
current consumption and, hence, the level of domestic savings.
The estimated coefficients of relationships are given in Table 1.
Part (a) lists the coefficients of all but two variables ([REM.sub.t],
[RRI.sub.t]) on the right-hand side of the restricted form savings
equation. We observe that the estimated coefficient on the foreign aid
variable in Equation (1), which has a negative sign, is not significant
at the 95 percent level of confidence.
Only four independent variables ([FDI.sub.t], [CRE.sub.t],
[PCI.sub.t], and [SAV.sub.t-1]) are retained in the final estimated
unrestricted savings Equation (2). One out of three variables of foreign
aid, i.e., foreign loans turns out to be significant at the 5 percent
level.
The results of Equation (2) show a negative relationship between
foreign loans and domestic savings. We also observe that different types
of foreign aid have different effects on domestic savings. First, the
results show that the aid in outright grants has no measured effect on
domestic savings. Second, both foreign direct investment and loans are
inversely correlated with domestic savings, but the size of the
coefficient on FD1 is much larger and insignificant. The size of the
coefficient on foreign loans is relatively small, but it is significant
at the 95 percent level of . confidence. Our results show that every
additional percent of foreign loans, as a proportion of national income,
results in a decline of about 1/3 percent of average savings, and vice
versa.
3. FOREIGN CAPITAL INFLOW AND ECONOMIC GROWTH
In this part we intend to estimate the following restricted and
unrestricted versions of a single equation growth model:
Restricted Form Equation
[??] = [[beta].sub.0] + [[beta].sub.1] [F.sub.t] / [Y.sub.t] +
[[beta].sub.2] [REM.sub.t] / [Y.sub.t] + [D.sub.1] + [D.sub.2] +
[D.sub.3] + u ... ... (3)
Unrestricted Form Equation
[??] = [[beta].sub.0] + [[beta].sub.1] [FDI.sub.t] / [Y.sub.t] +
[[beta].sub.2] [GRT.sub.t] / [Y.sub.t] + [[beta].sub.3] [CRE.sub.t] /
[Y.sub.t] + [[beta].sub.4] [REM.sub.t] / [Y.sub.t] + [D.sub.1] +
[D.sub.2] + [D.sub.3] + u ... ... ... ... (4)
Where, [??] is growth rate of GNP; [D.sub.1] is the dummy variable for wars and civil war; [D.sub.2] is the dummy variable for radical
change in government policy; and [D.sub.3] is the dummy variable for
weather (average annual growth rate of agriculture over the period is
3.4 percent: [D.sub.3] = 0 if the growth rate [greater than or equal to]
3.40).
The results, listed in Table 2, show that the final regression
equations do not include coefficients on the contemporaneous values of
any of the foreign aid variables. However, the one-year lagged
independent variable for the total inflow of all types of foreign aid
([F.sub.t-1]), in Equation (3), produces a significant and positive
estimated coefficient of correlation. But, its size is small and implies
that for the growth rate of increase by one percent in the next year the
foreign assistance should increase by 3 percent of GNP in the current
year. The results for the lagged foreign aid variables in the
unrestricted form Equation (4) lend some support to the estimates of
Equation (3), since the lagged independent variable of foreign loans
([CRE.sub.t-1]) turns out to be significant at the 5 percent level with
a positive sign on the estimated coefficient. Aid in grant
([GRT.sub.t-1]) also exhibits a positive effect on economic growth after
one year of actual disbursement, but its estimated coefficient is not
significant. Further, the effect of foreign loans on the dependent
variable is more than double the effect of aid in grants. An increase of
one percent of loans as a proportion of GNP increases the growth rate by
about 1/2 percent, while for the growth rate to increase by one percent
the aid in grant would have to increase by about five percent of GNP.
Given the results listed in Table 2, we cannot suggest a negative
relationship between foreign aid and economic growth in Pakistan.
However, we observe that, also in this case, different forms of foreign
aid have different impacts on growth.
SUMMARY AND DISCUSSION
Our estimates for the growth model tend to contradict the
conclusions of the critics of aid. Yet so far as the effectiveness of
aid in increasing the GNP growth rate is concerned, the results we have
obtained remain essentially of a low key in view of the optimism voiced,
particularly, by the architects of gap models. The positive but
statistically insignificant relationship between economic growth and the
various different forms of the contemporaneous values of economic
assistance illustrate the inability of pure statistical analysis to
capture the relevant effects of foreign aid on the economic growth of
the recipient country. Although the one-year lagged values of foreign
aid variables produce positive and statistically significant
coefficients of correlation with economic growth, the weak explanatory
power of the estimated equation does not indicate that foreign aid is a
serious contributor to economic activity. Also, the estimated positive
coefficients on foreign aid variables are strictly subject to
Bauer's criteria for the evaluation of the effectiveness of aid,
i.e., it can be determined only after considering the factors behind
economic development, and the repercussions of aid on policies and
institutions and on the allocation of resources in the recipient
countries. (9) Indeed, for any meaningful analysis of the effects of
foreign aid, the fundamental question is what international and domestic
real resource shifts accompany international transactions, an issue that
depends on the reactions of policy-makers and private investors and
consumers to these transactions.
The estimated regression equations for domestic savings provide
negative coefficients of correlation between foreign aid and domestic
effort for resource mobilisation. Also, the strong explanatory power of
Equation (2) implies that, apart from factors not included in our
savings model, foreign aid played an important role in determining the
behaviour of savings in Pakistan. However, the estimated coefficients
give us no information about the nature of the negative relationship
between these two variables. They do not tell us if savings increase
with a decrease in aid or vice versa. If the former is true then, a
priori, foreign aid cannot have any adverse effect on Pakistan, since
during the aid period the country can enjoy both high growth and high
consumption levels, and once aid is reduced or withdrawn the domestic
accumulation can be increased to sustain future growth. On the other
hand, it is possible that the population in general, and key
institutions in particular, might develop aspirations and habits towards
consumption that are difficult to break at the end of the aided period,
thereby causing a decline in the post-aid growth rate. In order to make
a convincing case about aid, one has to be clear about its long-run
dynamic effects. The inability to capture these dynamic effects in the
present, and any other, statistical exercise renders the results only
suggestive. The literature on aid, between the early 1960s and the
mid-1980s, indeed records numerous statistical exercises conducted to
resolve the question of the contribution of aid to raising economic
growth. But, there is little doubt that the results of these tests
provide a far from reassuring picture.
Finally, the discussion and, by and large, the failure to provide
conclusive evidence of a positive relationship between aid, savings and
economic growth raises a fundamental question. Can the whole approach in
the literature of attempting to derive a quantitative link between aid,
savings and economic growth be expected to support or challenge the
validity of foreign aid theory? If the answer is 'no' then
criticisms of foreign aid cannot be taken as convincing proof that
aid's assertion is misplaced. Hence, one is obliged to look into
the real factors and form the chain of causation in order to be in a
better position to judge the claims of foreign aid theory.
Comments on "Foreign Aid, Domestic Savings and Economic Growth
(Pakistan: 1960 to 1988)"
Faster economic growth is a major economic policy objective in most
of the developing countries. Faster economic growth, usually, requires a
good quality and higher quantity of investment. In turn, more resources
for investment require higher levels of both national and foreign
savings. The impact of national savings on economic growth is
unambiguous. However, there is a controversy, at the theoretical and
empirical levels, over the effect of foreign savings on both economic
growth and national savings. A detailed study of foreign and national
savings and economic growth would certainly help in settling the
controversy at least for a single economy. At the same time
policy-makers need to know what policies can raise national saving and
they need to be aware of how policies pursued for other purposes will
affect national savings. The importance of the paper under review
(henceforth, present paper) should be seen in this context.
I do not see any problem with the standard arguments presented in
the present paper, the methodology used is fairly straightforward and
the results presented are fairly standard, at least in the Pakistani
context. At this stage I want to point out that in the last PSDE annual
general meeting about five papers were presented which dealt with more
or less the same topic which has been studied in the present paper.
Moreover, some more studies are also available in the same area, mostly
published in the PDR or mimeographed in PIDE. It appears from the list
of references reported in the paper that the authors of the paper were
unaware of all these studies. In order to evaluate the present paper I
will only compare the results of this paper with other studies which to
me have used more appropriate techniques and have used better
specification of the model. For the sake of evaluation I will refer to
two studies by Shabbir and Mahmood (1992) and Mahmood et al. (1992). The
study by Shabbir and Mahmood covered the period 1960-61 to 1987-88--the
same time period covered in the present study--while studying the
effects of foreign capital inflow on economic growth and savings in
Pakistan. On the other hand, Mahmood et al. covered the period 1971 to
1988 while studying the capital accumulation behaviour of institutional
agents in Pakistan.
The present paper uses OLS technique to estimate two equations;
namely savings and economic growth. On the other hand, Shabbir and
Mahmood specified a Simultaneous Equation Model of economic growth and
saving in order to estimate the direct as well as total effects of
foreign capital inflow on these variables. Shabbir and Mahmood's
technique has an obvious advantage over the estimation technique of the
present paper if one really believes that saving and growth are embedded
in a simultaneous system. For the saving equation one can note two
marked differences in the results of the two studies. First, although
both of these studies found a displacement effect of foreign direct
investment on savings, howler, the significance level of the estimate
found by Shabbir and Mahmood is much higher compared with that of the
present paper. If one really cares about the precision of the results
and the explanatory power of the estimated model then this difference in
results calls for the use of the simultaneous equation technique.
Second, whereas the present paper could not find a statistically
significant relationship between savings and the real rate of interest,
Shabbir and Mahmood found quite a significant relationship between the
two variables, thus giving an indication to the policy-makers to
liberalise the financial markets in order to increase the saving rate in
the country. Mahmood et al. also confirmed the presence of financial
repression in Pakistan.
In the growth equation of the present paper one can also note the
same kind of problems as I pointed out for the saving equation.
Talking of the study by Mahmood et al. which was taken up while
considering the drawbacks in using national aggregates, that is public
sector saving responds very differently from private sector saving the
response of public sector saving masks that of private sector saving.
Although the study covered a different time period and, unlike Shabbir
and Mahmood, used an OLS technique but by disaggregating total savings
into government sector saving, public enterprise saving, corporate
sector saving and household sector savings, came up with some
interesting results which are quite different than the present study.
Mahmood et al. found that direct foreign investment complement corporate
savings because most of the direct foreign investment in Pakistan comes
in the form of equity participation and the local partner has to raise
its savings to complement the foreign investment. On the other hand,
foreign loans substitute corporate savings. Thus by disaggregating the
data one can draw quite different inferences than can be drawn from the
use of aggregate data as is done in the present paper. Mahmood et al.
also used the terms of trade variable in the savings equations and found
that a deterioration in the terms of trade led to an increase in saving
in the country. This finding is the reflection of a behaviour where the
country has tried to achieve a target level of saving even under
aggravating external economic conditions.
In the household saving equation countrary to the present paper
Mahmood et al. found a positive and quite significant relationship
between worker's remittances and household savings. On the other
hand, for the public enterprise savings Mahmood et al. found a strong
negative relationship between foreign public sector loans and domestic
bank credit to the public sector, but such a relationship was totally
ignored in the present paper. Similarly, Mahmood et al. also found a
strong negative relationship between foreign debt servicing and savings
of the government sector, again such an important variable has not been
tried in the present paper.
To conclude, I may suggest to the user of this paper, that while
drawing any implications from the results of the present paper they
should also keep in front those studies which use somewhat complex but
better techniques and in the light of those studies which stress more on
the varied saving response of various institutional agents of the
economy to internal and external factors.
Zafar Mahmood
Pakistan Institute of Development Economics, Islamabad.
REFERENCES
Mahmood, Z., Z. Iqbal and M. A. Qasim (1992) Capital Accumulation
Behaviour of Institutional Agents. A Joint Study of PIDE/ISS (the
Hague). (Mimeographed.) Shabbir, T., and A. Mahmood (1992) The Effects
of Foreign Private Investment and Economic Growth in Pakistan. The
Pakistan Development Review. 31:4 831-841.
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(1) See, Chenery's work with Adelman (1966); Bruno (1962);
Eckstein (1970); MacEwan (1966) and Strout (1966).
(2) See, Bruton (1969); Myint (1969); Little (1982); Fei and Ranis
(1968); Bhagwati (1972); Griffin (1970); Findlay (1972) and Joshi
(1970).
(3) See, Areskoug (1973); Griffin and Enos (1970); Rehman (1967,
1968); Heller (1975); Weisskopf (1972); Haavelmo (1965).
(4) The flows consist of, (i) the exchange record data on foreign
investment in share, of companies registered in Pakistan and on other
long-term investment net of repatriated foreign capital, (ii) data
derived from special surveys, representing investment in the form of
capital goods supplied to direct investment companies by their parent
companies abroad and the reinvestment of undistributed income.
(5) The flows include Columbo Plan grants received, including
grants from Canada, grants of agricultural commodities other than U.S.,
grants under various U.N. programmes, and grants from abroad to Indus
Basin Development Fund (IBDF), and Tarbela Development Fund (TBF).
(6) Covers both long-term and short-term loam and trade credits
received by the private and public sectors, excluding loam in Pakistani
Rupee from the U.S. Government.
(7) See, IDS Working Paper No. 2: Econometric Methodology.
(8) See, Brown (1952).
(9) See, Bauer (1972).
Naheed Z. Khan is associated with the Islamia University,
Bahawaipur and Eric Rahim is associated with the University of
Strathclyde, Glasgow, Scotland.
Table 1
Estimated Regression Coefficients Dependent Variable Domestic
Savings (Pakistan: 1960 to 1988)
(a)
Equation (1)
Regressor Coefficient t-Statistics
(i) Intercept 4.636 2.639 *
(ii) [F.sub.t]/[Y.sub.t] -0.097 -1.187
(iii) [PCI.sub.t] 0.339 2.716 *
(iv) [SAV.sub.t-1]/
[Y.sub.t-1] 0.572 4.165 *
R-Squared F-statistic DW-statistic CHI-SQ
0.472 7.15 1.38 2.855
(b)
Equation (2)
(i) Intercept 5.422 3.167 *
(ii) [FDI.sub.t]/
[Y.sub.t] -2.029 -1.183
(iii) [CRE.sub.t]/
[Y.sub.t] -0.348 -1.985 *
(iv) [PCI.sub.t] 0.348 2.982 *
(v) [SAV.sub.t-1]/
[Y.sub.t-1] 0.593 4.506 *
R-Squared F-statistic DW=statistic CHI-SQ
0.544 6.866 1.407 1.760
F test of Restrictions = 0.78.
* Significant at 5 percent level.
Table 2
Estimated Regression Coefficients Dependent Variable Gross National
Product (Pakistan: 1960 to 1988)
(a)
Equation (3)
Regressor Coefficient t-Statistics
(i) Intercept 4.286 4.137 *
(ii) [F.sub.t-1],
[Y.sub.t-1] 0.318 2.475 *
(iii) [REM.sub.t]/
[Y.sub.t] 0.131 1.531
(iv) [D.sub.3] -1.200 -1.473
R-Squared F-statistic DW-statistic CHI-SQ
0.255 2.734 2.154 0.285
(b)
Equation (4)
(i) Intercept 3.935 3.489 *
(ii) [CRE.sub.t-1]/
[Y.sub.t-1] 0.524 1.918 *
(iii) [CRT.sub.t-1]/
[Y.sub.t-1] 0.225 1.292
(iv) [REM.sub.t]/
[Y.sub.t] 0.139 1.609
(v) [D.sub.3] -1.258 1.533
R-Squared F-statistic DW-statistic CHI-SQ
0.279 2.226 2.194 0.384
F test of restrictions = 0.79.
* Significant at 5 percent level.