164
7. Behind the Veil of Growth: The
State of Pakistan’s Economy
AKMAL HUSSAIN
INTRODUCTION
In examining the state of Pakistan’s economy there is always the danger of being
gripped by appearances. The texts of most official documents paint a rosy
picture, and well they might. For after all, the growth rate of GNP is high, as is
the growth rate of industry, agricultural and exports. One is well advised,
however, to take heed from the famous adage, ‘If the appearance of things
coincided with their essence, there would be no need for scientific enquiry.’ As
soon as one goes behind the veil of aggregate growth figures a very different
picture emerges. This paper is an attempt at examining the viability of the high
growth rate of in terms of the strategic variables that sustain growth over time,
and in terms of the structure of the economy. The latter determines the ability of
growth to provide the minimum conditions of economic existence to the poorer
strata of the population and backward legions of the country. In Section I We
give aim overview of the trends over time in the strategic variables such as
growth rates of investment, savings, and exports. We also indicate the structural
weaknesses in the economy in Section ii and iii, the available evidence on
poverty is evaluated, and an attempt is wade at formulating the mechanisms that
underlie endemic poverty in Pakistan. Section IV presents the findings of
available unpublished research on Regional Economic Disparity, and attempts to
formulate an alternative policy perspective for achieving regionally equitable
growth. Finally, iii Section V, we examine the balance of payments situation, and
analyze the dependence on foreign aid, and I lie scenarios for the future.
TRENDS AND STRUCTURE OF ECONOMIC GROWTH
The aggregate growth rate of the economy since 1977 has been impressive (over
6 percent per annum) and the Government has consistently measured its
performance in these terms. Yet when we go behind the veil of aggregate growth,
a less healthy picture of the economy emerges. We discover that the strategic
variables and sectors through which growth is sustained over time.
* An earlier version of this paper was presented at the UNESCO Regional research. Seminar:
Perspectives on Asia’s Future, Bangkok, July 20—24, 1987. 165
seem to show a declining trend: For example, the growth rate of fixed
investment, the domestic savings rate, the growth rate in the value of exports, and
finally the weight of the commodity producing sectors in the economy. Other
features that cast grim shadows on the bright growth performance, are an
economic structure that is both fragile as well as incapable of accommodating the
minimum requirements of food, housing and health of at least 40 percent of the
country’s population. In this section we will examine briefly each of these
structural features underlying the high growth rate of GN1 since 1977.
The Strategic Variables
A high growth rate of GDP merely tells us that the value of goods and Services in
the economy is increasing rapidly. It does not tell us what kinds. of goods and
services are being produced, nor does the GDP growth figure indicate whether
the factors which generate this growth arc being strengthened or weakened over
time. To diagnose the nature and sustainability of aggregate growth, we must
examine the sectoral composition of GDP over time, the performance of savings
and investment which are the engine of growth, and finally the performance of
exports which affects both aggregate growth as well as the long-term ability to
finance foreign exchange require- merits of the domestic economy.
To get an idea of trends in investment, what needs to be examined is the real
growth rate of investment (including stock changes) arid also the ratio of fixed
investment to GNP. We observe that real growth rate in gross domestic
investment (including stock changes) followed a declining trend from 5.8 percent
in 1976—77 to 3.4 percent iii 1983—84. (Between 19H to 1983, however, the
figure was above 9 percent, but then in 1980—81 it was 3.2 percent). ‘the reason
for the declining growth rate of fixed investment was that while public sector
gross investment rates have declined steadily from 9.69 percent iii 1976—77 to
3.8 percent in 1983—84 (in accordance with World Bank and U 0 P policy of dcemphasizing
the public sector), the private sector on which considerable hopes
were pinned, has failed to come up to expectations in the eighties. Gross fixed
investment as a percentage of GN1 declined from 17.6 percent in 1976-77 to 13.9
percent in 1983—84. This ratio increased to 16.5 percent in 1985—86, although
it was still lower than what it was in 1976—77. While public sector investment
as a percentage of GNP declined steadily from 12 percent in 1976-77 to 8.6
percent in 1983—84, private sector investment failed to compensate for this
decline, and fluctuated around an average of 5 percent over the period 1976—77
to 1983—84 (See Table 1).
The savings picture was equally bleak, with the gross domestic savings rate
declining from 8.5 percent in 1976—77 to 5.2 percent in 1983—84 (See Table
1). Gross national savings fluctuated around an average of 12.1 Percent over the
same period.
Pakistan Economic Survey l985-86. Government of Pakistan, Finance Division,
Economic Advisors Wing, Islamabad, pp. 25—27. 166
An examination of the composition of GDP shows that while the while of the
commodity producing sectors in GDP declined from 50.7 percent to 49.6 percent,
the weight of wholesale trade and services increased from 40.9 percent to 42.4
percent (See Table 2). The reason why this fact can be a cause for concern is that
the volume of trade by its very nature is subject to fluctuations since it has a
speculative clement, and is also not rooted in (h process of value added as is the
case with commodity production.
The Fragility of the Economy
The fragility of the economy is manifested in terms of three tendencies:
1. Agricultural growth and the food supply situation is based not on an
institutionalized process of technical change but on good hat vests. Thus
after seven good harvests when the Government was claiming self—
sufficiency and even an export capacity in wheat, one bad hat vest in
1981—84 threw agriculture into a crisis: horn an average annual growth
rate of 3.9 percent during 1977—82 agriculture growth fell to 6. 14
percent in 1983—84. There was a shortfall of about I .5 million tones in
wheat output thereby obliging the Government to import wheat.
2. The foreign exchange earnings of the country are based not on a
sustainable export of manufactured goods but on the uncertain
remittances from Pakistani workers in the Middle East and the equally
uncertain prices of agricultural exports. Thus workers’ remittances which
had been growing rapidly in the late seventies fell by 5 percent in I
983—84. As a result of reduction in the growth of export earnings and an
increase in import expenditures, the country’s gold and foreign exchange
reserves declined by 10.6 percent during 1983—84.
The fragility of tile country’s economy can be judged front the tact that
in one year when a bad harvest and reduced remittances occurred
simultaneously, the economy nosedived from a position of hoot it into
such a severe crisis that $300 million worth of State Bank reserves had to
be liquidated.
3. The third tendency that manifests the fragility of the economy is the
growing dependence on foreign loans on the one hand and the growing
difficulty in paying back the loans on the other. The total level of annual
loans has increased seventeen—Fold from $0. 15 billion in the 1950s to
$2.2 billion today. The degree of dependence on foreign loans can be
judged from the fact that about 20 percent of gross domestic investment
is financed by foreign loans. The growing debt
2 Pakistan Economic Survey 1983-84 Op. cit
3 Ibid
4 Ibid
5 Pakistan Economic Survey 1985-86 op. cit, p. 147 167
servicing burden is indicated by the fact that in 1977 as much as 44
percent of gross disbursements were returned in the form of debt
servicing of old loans. By 1984 this figure had increased to 87 percent
(See Table 16).
Poverty and Declining Employment Generation
Capability of the Economy
When we examine the basket of goods underlying aggregate economic growth,
we find that both the level and range of Consumption goods of the elite are rising
rapidly (for example , air conditioners are increasing at the rate of 40,000 a year)
while the poor continue to be deprived of basic necessities. According to
conservative estimates made by the II A) at least 45 percent of the households in
Pakistan are unable to afford 2300) calories per day per person, which is the
minimum calorific requirement for a healthy life. The Ministry of Finance,
Government of Pakistan estimates that 62 percent of the population does not have
piped drinking water; 84 percent of the population does not have sewage
facilities; finally the housing conditions are so inadequate that 81 percent of the
housing units have on average 1.5 rooms inhabited on average by seven pet
sons.7
While a large proportion of the population experiences economic deprivation the
nature of economic growth since 1977 has been such that it has involved rapid
automation in industry and labor—displacing mechanization in agriculture. The
result is that the employment generation capability of the economy has been
declining rapidly. The number of jobs generated per unit of investment in
industry has been declining at the rate of 11 percent per annum since 1977.8
In the case of agriculture there is a similar tendency of declining employment
generation capability as labor—displacing mechanization proceeds faster than
output growth. My estimates for the National Human Settlements Policy study
show that labor—absorptive capacity in agriculture can be expected to decline by
6.9 million households by the year 2002.
POVERTY AND INEQUALITY
The income distribution studies on Pakistan during the sixties were based
6 M Irfan and R Amjad. Poverty in Rural Pakistan, (Bangkok: IL0/ARTEP, June
1983) (mimeo).
7 Pakistan Economic Survey 1983-84 op. cit.
8 Irfan and Ahmed, Changes in Output, Employment, Costs and Productivity,
1985 (Mimeo).
9 Akmal Hussain. Report on Rural Population Estimates. Study for the National
Human Settlement Policy, Government of Pakistan. Environment an Urban
Affairs Division, Match 1983. 168
mainly on household expenditure survey data (Haq,10 Bergan,11 Azfar,12
Khandker,13 SuIeman14). They suffered from the problems of serious under
estimation of the income of higher income groups, apart from inherbernt
conceptual problems in such measures of inequality as the Gini-Lorenz ratios
which were used in these studies.15 More recently attempts have bee made to
establish the nutritional standard of the population and n 1st, estimate the
percentage of the population below certain minimum levels of income or
expenditure or ‘poverty lines’.
Malnutrition
The nutrition status is a complex issue, and a rigorous analysis would require disaggregation
by type of nutrient, and characteristics of the individual such as age,
sex and level of activity. ‘the available aggregative analyses are limited to
estimating the per capita calorie and protein availabilities. On this basis it
appears that the calorie requirements of the population are being met adequately.
Yet such an impression is chute misleading. When the calorie and protein
consumption of different sections of the population are examined a different
picture emerges. Table 4 summarizes the incidence of calorie and protein
deficiency in terms of the percentage of the rural and urban population for
1975—76. The table shows that in the rural areas as much as 33 percent of the
population is calorie deficient and 11 percent is protein deficient. In the urban
areas the incidence of nutritional deficiency is even greater with 46 percent of the
population suffering from calorie deficiency and 17 percent from protein
deficiency.
10K Haq, ‘A Measurement of Inequality in Urban Personal Income Distribution
in Pakistan, Pakistan Development Review, Vol. IV, No. 3, 1964. 11A bergan, ‘Personal Income Distribution and Personal Savings in pakisan,
‘Pakistan Development Review, Vol. VII, No. 2, 1967. 12 Javed Azfar “ Distribution of Income in Pakistan 1966—67,’ Pakistan
Economic and Social Review. Vol. XIV, No. I. Spring 1973. 13RH Khandker, ‘Distribution of Income and Wealth in Pakistan,’ Pakistan
Economic and Social Review, Vol XIV. No. I, S log 1973. 14 R M U Suleman , ‘Income Distribution Employment and Social Justice in
Pakistan Paper presented at the XVI Pakistan Economic Conference 1973. 15 The first study on income distribution in Pakistan was done by Mrs. Khadija
Haq , but it was limited to income tax payers in the urban areas. Subsequently, Assbjorn
Bergan conducted his famous study on income distribution In Pakistan (1967), based on
family expenditure survey data. Since the Bergan study. three more studies on income
distribution by Azfar Khandker and Suleuman were published using household survey
data.
The major weakness of income distribution studies based on household survey is
that the latter seriously underestimate the incomes of the high income groups. Azfar his
work, attempted to overcome this draw back this drawback to some extent by splicing
household survey data with income tax statistics (which are relatively more
representative of higher income groups). Nevertheless, the problem of underestimation of
upper income groups remained because income tax statistics do not cover agricultural
incomes and also do not take account of tax evasion. 169
Apart from this the 1976 Micronutrient Survey indicated that 60 percent of the
children in the rural population suffered from some degree of mal-nutrition.
Poverty
The first major poverty study was conducted by Naseem for the years 1963—64
to 1969—70. More recent data have been provided to the author by the Planning
and Development Division for the years 1970—71 to 1979. We shall present the
evidence from each of these sources in this section.
A poverty line is specified in terms of an income level which can afford
minimum calorific intake. Poverty is then measured by estimating the number of
1 below the poverty line income.
Naseem’s study shows that if the poverty line in the urban sector is specified as
less than Rs 375 per year (at constant 1959—60 prices), the percentage of
Pakistan’s urban population below the poverty line declined from 54.8 percent in
1963—64 to 25 percent in 1969—70. In absolute numbers, the urban poor were
around, 6.8 million in 1963—64 and 4.25 million in 1969—70. However, if the
poverty line were specified at Rs 375 p year (at constant 1959—6(1 prices), the
extent of urban poverty becomes much higher: 70 percent of the urban population
would be categorized as poor in 1963, it would be 59 percent by the late sixties
and would increase again by 1969—70.
Evidence on rural poverty suggests that the number of people below the poverty
line did not decrease (luring the sixties. Some studies (Naseem,17 Talat18 show
that the percentage of rural population below the poverty line remained constant.
Other studies Hussain,19 Mujahid20 suggest that this percentage increased.
Evidence on rural poverty during the seventies is based on two Sources: The
Nutritional Survey of the Planning Commission, and the household Income and
Expenditure Survey (HIES). The Nutritional Survey indicated that around 33
percent of the population in rural areas suffered front under nourishment (i.e.,
they consumed less than 2550 calories). The I LIES data showed that more than
20 percent of the households failed to meet their caloric requirements.
Earlier studies examining rural poverty in the sixties on the basis of per
16 S M Naseem, ‘Mass Poverty in Pakistan. Some Preliminary Findings,’
Pakistan development Review, Winter 1973.
17 Ibid. 18Talat Allauddin. ‘Mass Poverty in Pakistan, a further study, Pakistan
Development Review Winter 1975. 19 Akmal Hussain. ‘Technical Change and Social Polarization in Rural Punjab.’
Chapter 12 in K. Au (ed).. The Political Economy of Rural Development Lahore:
Vanguard 1982). 20 G B S Mujahid. ‘A Note on the measurement of Poverty and Income
Inequalities in Pakistan, Some observations on Methodology.’ Pakistan Development
Review, Autumn 1978. 170
capita income of different income classes and subsequent studies for the
seventies based on the Nutritional Survey are not strictly comparable due to
differences in methodology. However, a more recent study (Irfan and Amjad21
has made an important contribution to poverty studies by developing a consistent
time series on rural poverty based on HIES data. 1’ results show that during the
period 1963—64 and 1969 the level of rural poverty underwent a significant
increase: The percentage of poor households in total rural households increased
from 40.5 percent in 1963 to 51.5 percent in 1969-70. The rural poverty figure
for the year 1979 compared to 1969 however shows a significant decline: from
51.5 percent to 37.5 percent b some extent the decline in the percentage of poor
households is only an apparent decline, due partly to underestimation in 1979
data which does not cover some of the poorer regions of the country and partly
due to the fact that the increased landlessness during this period involved
migration of the poorest sections of the rural population into urban areas. (This
partly explains the fact that the data quoted earlier shows that the level of iii
poverty is higher than rural poverty.) Nevertheless some real decline in the
percentage of poor households did occur between 1969 and 1979, primarily
because of the effect on rural wages and remit lances of labor migration to the
Middle East. Clearly such a decline in rural poverty arose not from the
development of the economy hut precisely its underdevelopment, since it failed
to provide adequate employment opportunities to the population.
In the next section we will consider the mechanism underlying the continued
high level of poverty and the phenomenon of growing poverty during the decade
of the sixties when overall output and income in agriculture was growing rapidly.
THE MECHANISM UNDERLYING RURAL POVERTY
The New Technology and Polarization in Agrarian Structure
Much of the literature on the so-called Green Revolution suggests that this new
technology is ‘scale neutral’. This may be so at a purely technological level. ‘the
actual effect which the new technology has on the size distribution of farms in
any particular society depends on the prevailing pattern of land ownership and
the social organization of agricultural production. In Pakistan the agrarian
structure is characterized by a highly skewed distribution of land ownership and a
pattern of extensive renting out of land to tenants. 0.5 percent of landowners own
30 percent of total cultivated area. In such a situation where the high yielding
varieties (HYV) technology became available and made owner cultivation highly
profitable there emerged a tendency for a structural change in favor of the large
farmers: The availability of the HYV technology alongwith subsidized tractors,
induced large landowners to resume their formerly rented-out land for
21M Irfan and R Amjad: Poverty in Rural Pakistan, op. cit. 171
owner cultivation on large tractorized farms. The resultant change in the size
distribution of farms and changes in the production relations generated a
powerful process: Growing affluence of the big farmers simultaneously with the
pauperization of the poor peasantry. In this section I will report very briefly,
changes in flue size distribution of farms and the process underlying the
phenomenon. ‘In the next section we will examine the changes that occurred at
the level of production relations. It is these changes that constitute the basis of
the process of growing rural poverty. (For a more detailed study see my doctoral
thesis.)22
When the 1960 Agriculture Census (adjusted for biases inherent in its
methodology) is compared with the 1972 Agriculture Census a picture of
polarization in the size distribution of farms emerges, i.e., the percentage share of
small farms in total farm area and that of large farms has increased while the
percentage share of medium—sized farms has declined. Underlying this
comparative static picture was a more complex dynamic process. This consisted
of the following elements:
1. The larger landowners were resuming their rented land not only from
small farmers but also from medium—sized farmers.
2. The loss of land following resumption hit medium—sized farmers to a
much greater extent than small farmers.
3. Some medium-sized farmers following the loss of some (hut not all) of
their rented—in area were converted into small farmers over the period.
The consequence of (2) and (3) above, was that the percentage share of
total farm area (and the number of farms) in small—sized farms category
increased over the inter—censal period while that of medium—sized farms
declined. Thus the increase in the percentage share of small farms in the total
farm area occurred not because small farms were becoming more viable but
because of the relatively greater impact of the loss of rented-in land compared to
small farms.
This differential impact of the resumption of rented land is understandable given
the much greater proportion of total rented land under medium-sized farms in
Pakistan. The fact that many small farms were disintegrating under the impact of
tenant eviction is indicated by the rapid increase in landless— ness over the
period: Landless laborers increased by 0.7 million during the inter—censal
period, and of these almost half had had been proletarianizcd as the result of
tenant eviction.23
Capitalist Farmers arid the Nature of Production Relations
In this section 1 will report very briefly sonic of the findings of my study on
22 Akmal Hussain, Agricultural Growth and Changes in the Agrarian Structure of
Pakistan, D. Phil Thesis, Sussex 1980.
22 0Akmal Hussain, Technical Change and Social Polarization in Rural Punjab,’ op. cit. 172
agrarian structure. This suggests that production relations between poor peasants
and large farmers, underlie the squeeze on the real income of the poor Peasants. I
have defined poor peasants as those who are using pre dominant by family labor
on their farms (i.e. the ratio of total net labor hired-in to family, labor is less than
one). Poor peasants are subject to a triple squeeze:
1. Money costs have increased. This is because of two main factors:
(a) Inputs which were formerly nonmonetized (e.g., seed, animal
manure), or inputs which the poor peasant did not USC it all
(e.g., tractor ploughings, pesticides), he now has to buy in the
market. The p Peasant has to buy chemical fertilizer (rather than
use his own animal manure) and hire tractor ploughings, because
of his reduced ability to keep farm animals, having no longer any
access to the fodder area of the landlord who now tends to use
mechanized techniques.
(b) The second factor in the rise in money costs is the shift from
share cropping to money rents which are rising sharply,
2. Stagnant yields per acre. While there has been an increase in cash rents
payable by the poor peasant and thus in his real rental burden, his yield per acre
has not increased significantly. This is because he does not have the financial and
political power to: (a) acquire all the required inputs (seed, fertilizer, tube-well
pesticides) and (b) he does not have control over the timing of their application.
3. Selling grain cheap and buying dear. The third pressure on the real
income of the poor peasant is that in a situation of rising cash requirements and
indebtedness he is forced to sell a part of his subsistence requirements of grain at
harvest time. These harvest sales are at low prices since grain is cheap at this
time. However, at the end of the year when his stores run out, he has to buy grain
in the market at a time when prices are high.
My study shows that with the development of capitalist farming, the
nature of the interaction between poor peasant farms and the growth if large
mechanized farms has become such that while the real income of the large
farmers has increased dramatically, that of the poor peasants has declined. The
latter fact is reflected in the data on changes in the quantity and quality of diet of
the poor peasants. This shows that for a substantial proportion of the poor
peasants both the quality and quantity of diet has deteriorated. (See Table 6).
REGIONAL ECONOMIC DISPARI1Y
In Pakistan, historically, regional economic disparity has been an important
political issue. During tile sixties the economic disparity between Fast and 173
West Pakistan fueled the movement for provincial autonomy in East Pakistan and
subsequently the movement for national independence in what because
Bangladesh in 1971. During the late seventies and eighties the issue of regional
disparity between the provinces of what remains of Pakistan has acquired an
explosive political. However, this is au issue that has been charged more by
emotion than serious analysis and policy formulation. In this section we will
briefly summarize some of the available evidence and attempt to formulate a
policy framework within which more regionally equitable economic growth can
be achieved.
The Mechanism and Nature of Regional Economic Disparity in Pakistan
The early studies on regional disparities focused on economic inequality between
East and West Pakistan the first major study on regional disparity within (West)
Pakistan was conducted by Naved Hamid and Akmal Hussain. They estimated
district—level value added in large—scale manufacturing and agriculture, and
also District—level economic and social infrastructure, for the period 1959—60
to 1969—70, For example, see Tables 7 to 10. The study showed that not only
interprovincial inequality increased over time, but also the degree of inequality
within provinces. The regional disparity was correlated with the level of growth
i.e., the rank ordering of intra—provincial inequality was congruent with the rank
ordering of provincial growth rates. The study indicated that when growth occurs
within the framework of the market mechanism there is a cumulative tendency
for the relatively developed regions to grow faster than the relatively less
developed regions. The developed regions enjoy internal and external economics,
lowering costs of production relative to other regions which make the initiating
region cumulatively more advantageous for further investment. The specific
factors underlying cumulative divergence in the attractiveness of regions for
further investment and hence increased disparity in regional growth rates are:
Concentration of communications, banking facilities, public utilities, technical
know—how, trained manpower, and maintenance facilities. Conversely, as
growth is concentrated in the developed region, it pulls capital and skilled labor
from the backward region, thereby adversely affecting the age composition, skill
and capital endowment of the backward areas.
Levels of Economic Development by Region
Table 11 shows the comparative ranking of districts on the basis of tour major
studies on regional development in Pakistan. It is seen that all four Studies report
similar results with respect to infrastructure endowment of districts. Both the
top—ranking and the bottom—ranking districts are co’ tent for all four studies,
except for variations that are explicable on the basis
24Naveed Hamid and Akmal Hussain, ‘Regional Inequalities and Capitalist
Development, The case of Pakistan, Pakistan Economic and Social Review, Special Issue,
Winter 1976. 174
of development diffusion. (For example, Sheikhupura has substantially improved
its development ranking over time as the result of a substantial increase in
infrastructure facilities.)
Ayub Qutub25 in a pioneering study showed the relationship between production
per capita and infrastructure intensity (See graph). A logistic curve relationship
emerges between infrastructure (independent variable) and productivity per
capita (development variable) According to Qutub, for very backward districts
initially marginal improvements in infrastructure do not induce a significant
increase in production per Capita, Once the basic infrastructure has been created
(at a level of ha If the national average) a sharp increase in production per capita
takes place. However, beyond a maximum limit (1 .7 times the national average),
the kinds of infrastructure traditionally provided in Pakistan do not seem to
substantially stimulate industrial or agricultural production.
Changes in Spatial Concentration of Industry
Table 12 presents an interesting differentiation of economic regions on the basis
of industrial growth over time. The table has been obtained from Qutub’s seminal
work on regional planning.
The evidence shows that in 1959 as much as 39 percent of the value added in
industry was accounted for by Karachi. This was followed by Lahore and
Faisalabad. These three districts together account for 60 percent of the value
added in industry. The rest of the industry was fairly evenly distributed across the
local cores and the inner periphery. Over time the local cores, inner periphery
and outer periphery all gained at the expense of the national core, although at the
end of the period. Karachi still accounted for 35 percent of value added in
industry and the Central Punjab districts constituted 19 percent.
In Central Punjab the most rapidly industrializing district is Sheikhupura, in
northern Punjab it is Jhelum, and in Sind the most dynamic district in terms of
industrial growth is Dadu.
Towards an Alternative Planning Perspective for Regional Growth
The achievement of regionally equitable growth means changing the whole
conception of planning. At the moment economic planning essentially involves
allocating Government resources amongst various ‘sectors’ of t lie economy stick
as agriculture, industry, energy, irrigation etc. the current planning exercise
involves achieving consistency between sectoral growth targets and external and
internal financial resources. Space is assumed out of the planning exercise except
for SOPS like Special Development programs, which consider investment in
backward areas as marginal to the
25Ayub Qutub, Spatial Impact of Macro Economic and Sectoral Policies, NHS Policy Study,
Government of Pakistan, Environment and Urban Affairs Division (n.d.) 175
overall plan. Regionally equitable development requires placing the regional
dimension into the heart of the planning exercise. Each investment package must
be evaluated in terms of its impact on regional growth.
Pakistan’s experience has shown that the development of backward regions
cannot be stimulated simply by giving tax incentives to entrepreneurs for
investment in backward areas. The attractiveness of infrastructure and markets in
the developed regions far outweighs the attractiveness of tax incentives for the
entrepreneur. In rare cases where the entrepreneur clues invest in the area
designated ‘backward’ (e.g., Hub Chowki), he indulges in ‘border hopping’ i.e.,
he locates the unit just across the border between the developed and backward
region. The industrial unit draws its inputs from and sells its output in the
developed region, and therefore generates secondary multiplier effects in the
developed rather than the backward region. If investment is to go deep into the
backward regions to generate self-sustained growth, the development of
infrastructure in these regions is essential. The question then arises, where in the
vast ‘backward’ region to set up the infrastructure and how much? A Regional
Planning Exercise would involve mapping the economic and social
infrastructure, geographic location of markets by size and source of raw
materials. On the basis of such a ‘map’, potential growth nodes could be
specified in the backward region. These would be locations which on the basis of
some existing infrastructure, closeness to a local market, or raw material deposit,
qualify for supplementary infrastructural investment by the Government. The
first step towards specifying such growth nodes has already been taken with the
EPRU study on the Industrialization Potential of Selected districts. This study has
proposed growth nodes in the following districts: Khairpur, Nawabshah and
Sanghar in Sind; D.G. Khan, Muzaffargurh and Bhakkar in the Punjab. A similar
exercise could be conducted for all the backward regions of the country. The
nodes could be specified in such a way that as growth begins to occur, they begin
to interact in terms of factor markets, thereby generating self-sustained growth
diffusion in the backward areas.
BALANCE OF PAYMENTS AND FOREIGN AID
Balance of Payments
Current Account
Over the period 1979-80 to 1984-85 Pakistan’s current account balance
deteriorated. There was an improvement in the financial year 1983, but
subsequently a sharp deterioration in the financial year 1984. The overall current
account balance declined from US $1 140 million in financial year 1980 to US
$1593 million in financial year 1985 (See Table 13).
26 A Qutub, I Hamid, A Hussain, Study on Industrialization Potential of Selected Districts.
Report submitted to NDFC by EPRU. 176
The growth of export earnings has been much slower than the growth import
expenditures resulting in a marked deterioration In the trade balance from US
$2,513 million in financial year 1980 to US $3,563 million iii financial year 1985
(Sec Table 13). Over the decade 1975—76, while import have grown at an
annual compound rate of 6.6 percent at constant prices, exports have increased at
4.5 percent over the same period. 1’tic major factor in the slow growth of exports
is the steady decline in the barter terms of trade from au index of 126.1 in 1977—
78 to 88.9 in 1985—86 (See ‘Fable 18), Workers’ remittances which had
increased from US $1 ,748 million in financial year 1980 to US $2,886 million in
financial year 1983 declined subsequently (Table 13).
Capital Account
The decline in remittances along with a deterioration in the balance of t resulted
in a doubling of the current account deficit from US $554 million iii 1983 to US
$1,028 million in 1984. Net long-term capital inflows declined from US $1,276
million in financial year 1983 to US $882 million in financial year 1984 (a
decline of 31 percent). Disbursements of project and non project aid declined by
4 percent and 15 percent respectively while amortization payments rose by 40
percent accounting for the lower net inflow. Furthermore, with the termination of
the extended Fund Facility (EFF) net resources from the 1MF recorded an
outflow of US $46 million in the financial year 1984 as compared to an inflow of
US $413 million in financial year 1983. Gross official foreign exchange and gold
reserves decreased by US $113 million over the financial year 1983—84 period,
and at the cud of financial year 1984 stood at US $2.5 billion, the equivalent of
3.8 months of import of goods and services (See Table 17).
It may be pointed out that the foreign exchange reserves during the period
1978—1985 have been much higher than in the period 1973—1977 (See Table
17). However, the foreign exchange reserves have declined after 1983.
Foreign Aid and Debt
Table 15 has been constructed to provide a profile of Pakistan’s growing aid
dependence and the acceleration iii debt service requirements indicates the rising
debt burden and the percentage of gross aid that is actually available after debt
service requirements on past aid have been fulfilled.
As Table 15 shows, gross aid (i.e. grants plus loans) have increased rapidly from
US $215 million per year during the First Five Year plan period (1956—60) to
US $1,809 million per year during the Sixth Plan. Associated with growing gross
aid inflows has been a changing composition of foreign aid, with a shift away
from grants to loans. While during the period 1956-60, only 46.2 percent of total
aid came in the form of loans, 177
During the Bhutto regime as much as 89 percent of total aid consisted of loans.
The grant component, of total aid has increased somewhat during the Zia regime,
but loans as a percentage of total aid during the eighties (being 73 percent) arc
still much higher than during the fifties and early sixties.
The consequence of rising gross aid inflows on the one hand and increasing
weight of loans in total aid on the other, has been a rising debt servicing burden.
This has increased from US$ 6.4 million per year during the, First Plan period to
US $586.3 million during the Sixth Plan period. Debt service payments as a
percentage of export receipts from 4.9 percent in the First Nan period to 27.2
percent during the Sixth Plan period (Table 15).
In spite of rising debt service payments the total outstanding debt has been rising
rapidly. This has been SO even during the period 1978-86 when grants as a
percentage of total aid increased substantially compared to the period 1971—77.
As Table 16 shows, total debt outstanding increased from US $7,189 million to
US $9,732 million.
While, total debt outstanding has increased, the percentage of foreign aid left
over after debt service payments has declined. Net transfer as a percentage of,
gross disbursement declined from 56 percent in 1978 to 27 percent in 1986. The
year 1986 however was a substantial improvement compared to the year 1984
and 1985, when the figure was as low as 13 percent (See Table 16).
External Capital Requirements and the Constraint to Growth during the
Decade 1985—95
The World Bank has setup what it calls ‘base case projections’ which are
essentially a set of macro—economic projections of the relationship over time
between GDP, and a number of variables such as fixed investment, domestic
savings and foreign aid requirements.” According to the ‘base case scenario’ (See
Table 19) if GDP is to grow at 6.1 percent during 1986—95 and agriculture and
industry growth rates during the period are the same as in the earlier period
1978—85, then the growth of fixed investment would have to accelerate from 4.6
percent in the period 1978—85 to 7.8 percent in the period 1986—95. in this
scenario, foreign aid (loans plus grants) are expected to decline from 8.3 percent
of GDP currently to 3.5 percent in 1994—95. This Optimistic scenario regarding
foreign aid requirements is sensitive to three critical assumptions:
1. The growth rate of merchandise imports will decline from 7.3 percent in
the period 1978—84 to 4.4 percent in the next period 1986-95. At the
same time the projection scenario assumes that export growth will
remain above 8 percent as at present.
27Pakistan: Recent Economic Developments and Structural Adjustment, World Bank,
Report No. 5347 Pak, , South Asia Region March 20,1985. 178179
2. Gross domestic savings as a percentage of GDP will increase
dramatically from 6 percent in the current period to 13.8 percent in 1986
3. Gross domestic investment will increase substantially from 14.3 per cent
of GNP currently to 17.3 percent of GNP in 1994—95.
Considering the observable trends since the mid-seventies, each of these
assumptions appears unrealistic:
1. The growth of merchandise imports, which the World Rank assumes will
decline drastically over the next period I 986-95, has in fact been in creasing
since 1973. At the same time the growth of merchandise exports is expected
by the Bank to remain stable during the next decade, at the present 8 percent.
‘Ibis again appears unlikely, given the sharp fluctuations in the past decade.
Such fluctuations are of course to be expected iii an export sector where
almost half the exports are agriculture or agriculture related. For example,
the growth rate of rice and cotton exports has fluctuated from + 40 percent in
1979—80 to 1980—81, to —40 percent in 1980—81 to 1981—82, and again
—6.2 percent in 1982-83 to 1983 84 and then + 4.7 percent in 1981-84 to
1984-85.
2. The Bank ‘base case Projection’ assumes that the domestic savings rate
would increase from 6 percent of GDP as at present to 13.8 percent in
1994—95. This appears to be a heroic assumption in view of past
performance. (In fact the domestic savings rate has declined from 7.2 percent
of GDI’ during 1973—78, to 6 percent during 1978—85.) In any case such a
dramatic increase in the domestic savings rate would require drastic changes
in taxation, income distribution, patterns of consumption, social attitudes,
and in the underlying institutional framework of Pakistani society.
3. The third critical assumption that fixed investment as a percentage of GNP
will increase substantially from 14.3 percent at present to 17.3 percent in
1994—95 appears unlikely, in view of the fact that the figure has declined
steadily since 1977. ‘1 he major factor in the decline in fixed investment has
been the uncertainty and fragility of Pakistan’s political structure. This has
induced many entrepreneurs to prefer quick return investments in trade, to
the long gestation investments iii manufacturing. This tendency is manifested
in the declining weight of the commodity-producing sector in GDP, and the
rising weight of the trade and services sector us discussed in Section 1.
Given the present internal and external political forces at play, the next
decade is expected to be characterized by acute political turmoil, Under these
conditions entrepreneurs should be expected to be even more shy of fixed
investment than before. For the World Bank to expect that Past trends will no
reversed and the growth rate of fixed investment will accelerate dramatically
(from 4.6 percent to 7.8 percent) in the future is perhaps overly optimistic for
a base case scenario. 180
If, as seems more probable, the export growth is lower than that projected in the
base case, sustaining a growth rate of GDP of 6.1 percent per annum would
require a much higher level of foreign borrowings than that implied in the base
case. Debt service payments as a percentage of total foreign exchange earnings
would rise to about 27 percent by 1994-95, and as a percentage of commodity
export earnings, over 62 percent. The alternative to this intolerably high debt
servicing burden would be a much slower growth of GDP over the next decade.
If current levels of debt servicing are to be maintained during the next decade,
lower imports (about 3.3 percent) lower investment growth (about 5.3 percent)
and hence a growth of GDP only about 3.6 percent could be sustained with a
population growth rate of about 3.3 percent per annum, this means that the per
capita income over the next decade may remain virtually unchanged. Thus
realistically, the options for Pakistan’s economy over the next decade on the
basis of its present structure, appear to be either an intolerably high debt
servicing burden or alternatively slow growth of GDP.
External Capital Requirements over the Short-term 1986—88
The World Bank base case scenario, which, as we have suggested, is based on
optimistic assumptions, projected external capital requirements of US$7.9 billion
over the period 1986—88. Of this amount US $1 .4 billion would he available
from previously contracted debt and the remaining US $6.5 billion would need to
be met from new commitments. To generate this level of disbursements Pakistan
would need total new commitments of US$9.3 billion for this period, i.e. US $3.1
billion per year. Given the composition of external capital commitments in the
past two years, this means that commitments of official assistance would need to
average US $2.4 billion per year during the period 1986-88. The
disbursements/commitment ratio in the past two years has been about 70 percent.
This low rate of disbursements reflects not only a low percentage of quick
disbursing non-project assistance, but also delays in project preparation and
execution.
CONCLUSION
We have examined briefly some of the major trends and structure of the
economy. The evidence suggests that with a low domestic savings rate and
rapidly increasing reliance on foreign loans, Pakistan may be entering a period
over the next decade when it may be faced with the grim choice of stagnation in
per capita incomes or a very high debt servicing burden. The composition of
exports is still heavily weighted in favor of agriculture or agriculture related
goods, thereby making export growth subject to sharp fluctuations, as well as
declining terms of trade. The economic structure is
28 Ibid.
29 Ibid. 181
both fragile and unable to significantly improve the economic conditions of the
poorer sections of society and backward regions of the country. Finally, the
process of growth seems to be characterized by rising capital / labor ratios,
thereby reducing the employment generating capability of the economy.
Table
Performance of Strategic Variables
Investment / GNP Ratio, Savings / GDP Ratio (Percent), Growth Rate of Exports (Average
Annual)
(Percentage)
1976-77 1979-80 1980-81 1981-82 1982-83 1983-84 1985-86
Gross Fixed
Investment
Private
Public
Gross Domestic
Savings Ratio
17.6
5.0
12.0
8.5
15.6
5.1
10.4
6.0
13.5
4.9
8.6
5.6
13.8
4.7
9.1
5.0
13.6
4.9
8.7
6.7
13.9
5.2
8.6
5.2
16.5
6.0
8.8
6.2
1970-71 to 1976-77
(Av. Annual
1970-71 to 1976-77
(Av. Annual
Exports Growth
Rate 24 11
Notes: 1. Investment ratio is investment as a percentage of GNP at market prices.
2. Savings ratio is the gross domestic savings as a percentage of GDP at market
prices.
3. Exports are valued at current prices.
Sources 1. Pakistan Economic Survey 1985-86.
2. World Bank, Pakistan: Recent Economic Developments and Structural
Adjustment, March 20, 1985, p. 8.
Table 2
Changes in the Structure of GDP
(Percentage)
1977-78 1980-81 1983-84 1985-86
Commodity Producing Sector1 50.7 50.6 48.5 49.6
Trade and Services Sector2 40.9 40.8 42.5 42.4
Notes: 1
. Commodity producing sector includes agriculture, manufacturing (both
large and small scale), and electricity and gas.
2
. Services sector includes transport, storage and communication,
wholesale and retail trade, banking and insurance, public administration
and defense and other services.
Source: Pakistan Economic Survey 1985-86 (Calculations mine). 182
Table 3
Budget Profile
(Rupees Bullion)
1977-78 1980-81 1983-84 1985-86
Total Government Expenditure
Development expenditure
Admission & Defense
Debt Servicing
Total Government Revenue
Total Budgetary Deficit
Development expenditure as a
Percentage of Total
Expenditure
Administration and Defense as
A Percentage of Total
Expenditure
Debt Servicing as a Percentage
of Total Expenditure
Administration, Defense and
Debt Servicing as a Percentage
Of Total revenue
40.90
1535
12.03
6.34
26348
14.42
37.5
29.4
13.0
69.4
63.64
23.32
18.20
9.26
47.00
16.64
36.6
28.6
14.6
58.4
100.00
28.05
32.76
22.21
77.29
22.71
28.1
32.8
22.2
71.1
134.00
39.40
41.33
30.99
92.54
41.46
29.4
30.8
23.1
78.1
Notes: 1. The figures refer to consolidated Federal and Provincial Government
revenues and expenditures, and exclude the revenues of autonomous
bodies.
2. Debt Servicing Includes interest payments on domestic and foreign
debt, plus repayments / amortization of domestic and foreign debt.
Source Pakistan Economic Survey 1985-86 (Calculations mine).
Table 4
Incidence of Calorie and Protein Deficiency
(Percent of Population)
Year 1975-76
Rural Urban
Calorie
Deficient
Calorie
Adequate
Total Calorie
Deficient
Calorie
Adequate
Total
Protein Deficient
Protein Adequate
Total
9
24
33
2
65
67
11
89
100
15
31
46
2
52
54
17
83
100
Source: Government of Pakistan, Planning Commission Annual Plan 1975-76 183
Table 5
Poverty Profile 1970-79
(Percentages)
Pakistan Rural Urban
1979 1970-
71
1979 1970-
71
1979 1970-
71
Population below
Average Income
In current prices
In constant prices
Of 1970-71
Population below
Average
Consumption
In current prices
In constant prices
Of 1970-71
Households below
Average Income
In current prices
In constant prices
Of 1970-71
Households below
Average
Consumption
In current prices
In constant prices
Of 1970-71
Population below
Poverty Line
Households below
Poverty Line
67.8
37.7
62.9
36.0
75.8
48.0
72.2
46.1
35.2
45.3
61.5
61.5
61.0
61.0
71.3
71.3
70.9
70.9
38.2
49.4
64.3
35.6
60.4
33.3
73.1
45.8
70.5
43.7
33.5
43.8
59.9
59.9
53.2
53.2
70.1
70.1
64.1
64.1
38.4
49.5
71.9
42.6
69.6
41.7
78.6
52.8
76.7
51.7
38.0
47.9
65.7
65.7
63.8
63.8
74.3
74.3
72.6
72.6
33.0
44.0
Source: Government of Pakistan, Ministry of Planning and Development. 184
Table 6
Change in the Quantity and Quality of the Diet of Farmers Between 1965 to 1978 by Size Class of Farm
Quantity of Diet Quality of Diet
Size of Farm (Acres)
Farmers
Whose
Diet has
improved
Farmers
Whose Diet
has
Deteriorated
Farmers
Whose
Diet has
Remained
unchanged
Total Farmers
Whose
Diet has
improved
Farmers
Whose Diet
has
Deteriorated
Farmers
Whose
Diet has
Remained
unchanged
Total
Less than 8
8 to 25
25 to 50
50 to 150
150 and above
11
0
0
0
0
33
25
0
0
0
56
75
100
100
100
100
100
100
100
100
0
0
0
0
0
67
69
25
0
0
33
31
75
100
100
100
100
100
100
100
Note: A reduction in the quantity of diet refers to a reduction in the quantity of one or more of the following items, without an increase in
any: (a) Number of Chapatis consumed during the day, (b) quantity of milk consumed during the day, (c) quantity of lassi consumed
during the day, (d) number of times during the day lentils of vegetables are eaten alongwith chapattis. Similarly, an improvement in
the quantity of diet refers to an increase in the quantity of one or more of the above items, without a reduction in any.
A reduction in the quality of duet refers to a change of one or more of the following: (a) A reduction in the quantity of milk with an
increase in the quantity of lassi, (b) a reduction in the frequency of meat consumption per month by the peasant household, (c) a
replacement of homemade butter and ghee with canned vegetable cooking oil purchased in the market. The latter has a much lower
fate content than homemade ghee and is also often adulterated according to the respondents.
Source Field Survey 1978. Akmal Hussain. D.Phil, Thesis, Sussex 1980. 185
Table 7
Per Capita Income by Provinces at Constant 1959-60 Factor Cost
1959-60 1964-65 1969-70
Rupees Index Rupees Index Rupees Index
West Pakistan
NWFP
Sind
Baluchistan
Punjab
358.69
186.57
506.23
293.29
365.25
100
52
141
82
102
436.47
222.83
641.66
330.65
434.51
100
51
147
76
100
513.63
254.20
758.40
354.48
509.08
100
49
148
69
99
Sources Naved Hamid and Akmal Hussain, ‘Regional Inequalities and Capitalist
Development,’ Pakistan Economic and Social Review, Special Issue, 1976.
Table 8
Provincial Contribution to Value Added in Large Scale Manufacturing Industry
(At Constant 1959-60 Factor Cost)
1959-60 1964-65 1969-70
Rupees
(million)
(%) Rupees
(million)
(%) Rupees
(million)
(%)
NWFP
Punjab
Sind
Baluchistan
West Pakistan
64.9
532.0
556.3
5.9
1159.0
5.6
45.9
48.0
0.5
100.0
148.9
1082.4
1286.7
5.0
2523.0
5.9
42.9
51.0
0.2
100.0
278.9
1730.0
2021.0
16.2
4042.0
6.9
42.8
50.0
0.4
100.0
Source: Naved Hamid and Akmal Hussain, ‘Regional Inequalities and Capitalist
Development,’ op. cit.
Table 9
Industrial Concentration – Karachi Gross Value Added in large Scale
Manufacturing
Rupees in Million
(At Current Prices)
1954 1959-60 1964-65 1969-70
Karachi 211 448 1133 1820
West Pakistan 548 1159 2581 4811
Karachi as Percentage of West
Pakistan
28.5 38.7 43.9 37.9
Source: Naved Hamid and Akmal Hussain, ‘Regional Inequalities and Capitalist
Development,’ op. cit. 186
Table 10
Percentage Share of Large Scale Manufacturing
1959-60 1969-70
Karachi
First Five Districts (Excluding Karachi)
Second Five Districts
Third Five Districts
Remaining Thirty Districts
West Pakistan
38.7
34.7
10.5
6.0
10.1
100.0
37.9
29.7
15.1
6.9
10.4
100.0
Source: Naveed Hamid and Akmal Hussain, ‘Regional Inequalities and Capitalist
Development,’ op.cit.
Table 11
Comparative Ranking of Districts
Qutub
Districts
Helbock and
Naqvi
Infrastructure
of Social
Development
1960
Hamid and
Hussain and
Atta
Infrastructure
and
Production
Indices Late
1960
Pasha and
Hussain
Infrastructure
and Social
Development
1970s
Production
Per Capita Infrastructure
1 2 3 4 5 6
Karachi
Lahore
Peshawar
Pindi/Islamabad
Quetta
Hyderabad
Faisalabad
Multan
Jhelum
Sanghar
Bannu
Rahim Yar
Khan
Gujrat
Gujranwala
Mardan
Sargodha
Sahiwal
Bahawalnagar
Sukkar
Bahawalpur
Sheikhupura
Nawabshah
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
1
2
13
3
30
15
4
5
7
15
36
10
8
9
14
16
6
17
18
19
12
24
1
2
5
3
4
6
7
9
16
18
29
15
23
8
13
20
14
28
21
17
12
22
1
28
28
14
36
6
11
9
10
4
35
2
26
12
8
21
18
17
16
22
3
7
1
4
5
2
3
7
10
11
9
32
18
27
19
15
26
14
21
30
8
28
6
29 187
Table 11 (Contd.)
Qutub
Districts
Helbock and
Naqvi
Infrastructure
of Social
Development
1960
Hamid and
Hussain and
Atta
Infrastructure
and
Production
Indices Late
1960
Pasha and
Hussain
Infrastructure
and Social
Development
1970s
Production
Per Capita Infrastructure
1 2 3 4 5 6
Mianwali
Jacobabad
Dera Ghazi Khan
Sialkot
Compbellpur/Attock
Khair pur
Kohat
Dadu
Muzaffargarh
Larkana
Jhang
Tharparkar
Dera Ismail Khan
Hazara
Thatta
Chagai
Kharan
Sibi
Zhob
Kalat
Loralai
Mekran
Kachi
Lasbela
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
20
37
21
11
22
23
35
31
25
27
26
37
33
34
325
38
46
42
41
44
43
45
39
40
34
37
35
10
33
26
32
25
31
27
24
19
11
36
30
40
44
41
38
43
39
42
46
45
15
25
34
32
30
13
31
5
25
29
19
20
37
38
27
44
46
33
43
39
40
45
42
41
25
38
35
12
13
33
22
24
31
20
23
40
16
17
39
34
45
37
36
42
41
44
43
46
Source: EPRU: Study on Industrialization Potential of Selected Backward Districts.
Table 12
Value Added in Large Scale Manufacturing by Economic Regions
(% Share of All Pakistan)
1. National Cores
1959-60 1969-70 1976-77
A. Karachi
1. Karachi 38.7 37.9 35.03
38.7 37.9 35.03
188
Table 12 (Contd.)
1959-60 1969-70 1976-77
B. Central Punjab
1. Faisalabad
2. Gujranwala
3. Sheikhupura
4. Lahore + Kasur
5. Sahiwal
11.0
2.5
0.7
11.9
1.9
7.2
1.1
3.8
6.4
1.5
6.32
1.09
5.61
5.47
0.87
28.0 20.0 19.36
Total National Cores 66.7 57.9 54.4
II. LOCAL CORES
A. Greater Federal Capital Area
1. Rawalpindi
2. Islamabad
4.0
--
5.6
--
8.39
--
4.0 5.6 8.39
B. Peshawar Vale
1. Peshawar
2. Mardan
3.6
1.3
3.4
1.3
2.98
2.60
4.9 4.7 5.58
C. Multan
1. Multan + Vehari 2.5 4.7 3.2
2.5 4.7 3.2
Total Local Cores 11.4 15.0 17.2
III. Inner Periphery
A. Punjab
1. Gujrat
2. Sargodha
3. Jhang
4. Sialkot
5. Muzaffargarh
0.6
0.7
0.1
0.8
0.5
1.0
1.3
--
0.6
0.6
0.97
1.68
0.75
0.56
1.11 189
Table 12 (Contd.)
1959-60 1969-70 1976-77
6. Rahim Yar Khan
7. Attock
8. Jhelum
2.9
0.4
2.6
2.2
0.7
3.7
2.57
0.90
3.29
8.6 10.1 11.83
B. Sind
1. Dadu
2. Hyderabad + Badin
0.1
5.3
0.6
5.8
3.04
3.07
5.4 6.4 6.11
C. NWFP
NIL
D. Baluchistan
NIL
Total Inner Periphery 14.0 16.5 17.9
IV. Outer Periphery I
A. Punjab
1. D.G. Khan
2. Bahawalpur
3. Bahawalnagar
4. Mianwali
--
0.1
0.1
2.0
--
0.9
0.5
1.8
0.09
0.24
--
1.35
2.2 3.2 1.68
B. Sind
1. Khairpur
2. Jacobabad
3. Sukkar _ Shikarpur
4. Nawabshah
5. Larkana
6. Sanghar
7. Tharparkar
8. Thatta
1.4
--
0.7
0.5
0.1
0.5
0.8
0.6
1.3
0.1
2.0
0.6
0.1
0.3
0.8
0.4
0.04
--
1.91
1.00
2.47
--
0.50
0.28
4.6 5.6 6.20
C. Baluchistan
1. Quetta 0.4 0.3 N.A. 190
Table 12 (Contd.)
1959-60 1969-70 1976-77
2. Lasbela 0.5 0.4 N.A.
0.9 0.7 0.35
D. NWFP
1. D I Khan
2. Hazara
3. Kohat
4. Bannu
--
0.6
--
0.1
0.1
1.2
0.5
0.5
--
0.90
0.70
0.63
0.7 2.3 2.23
Total Outer Periphery I 8.4 11.8 10.5
V. Outer Periphery II
A. Punjab
Nil
B. Sind
Nil
C. Baluchistan
1. Zhob
2. Sibi + Nasirabad + Kohlu
3. Chagia
4. Loralai
5. Kalat + Khuzdar
6. Kharan
7. Mekran
--
0.1
--
--
--
--
--
--
0.1
--
--
--
--
--
--
--
--
--
--
--
--
0.1 0.1 0
D. NWFP
1. Swat
2. DIR + Chitral
--
--
--
--
--
--
0 0 0
E. Azad Kashmir and Northern Areas
Nil
Total Outer Periphery II 0.1 0.1 0.1
Source: Ayub Qutub, Spatial Impact of Macro Economic and Sectoral Policies, National
Human Settlements Policy Study, Government of Pakistan, Environment and
Urban Affairs Division, PEPAC REPORT. 191
Table 13
Current Account Balance, 1979-80 – 1984-85
(Million US Dollars)
1979-80 1980-81 1981-82 1982-83 1983-84 1984-85
Exports (fob)
Imports (fob)
Trade balance
Workers remittances
Other invisibles (net)
Current account balance
As percentage of GNP
Trade balance
Current account balance
2341
4854
-2513
1748
-375
-1140
-9.9
-4.5
2798
5563
-2765
2097
-323
-991
-9.0
-3.2
2318
5691
-3373
2225
-382
-1530
-10.3
-4.7
2627
5616
-2989
2886
-451
-554
-9.5
-1.8
2668
6002
-3334
2737
-431
-1028
-10.0
-3.1
2700
6263
-3563
2450
-480
-1593
-10.6
-3.5
a. Provisional Actual.
b. Government estimates.
Sources: World Bank, Pakistan: Recent Economic Development and Structural Adjustment, op. cit., p. 24. 192
Table 14
Foreign Exchange Receipts, Expenditures and Financing
(US Dollars Million)
Particulars 1983-84 1984-85 1985-86
Expenditure
Imports (cif)
Debt Service
Interest
Principal
Others
Receipts
Exports (fob)
Workers Remittances
Others
Capital
Borrowing
Long Term
Short Term
Others (Net)
Change in Reserves (- = increase)
Errors and Omission
85292
6518
991
471
520
783
6741
2669
2737
1335
1551
1343
89
46
132
--
8397
6531
999
462
537
567
6175
2457
2446
1272
2222
1254
48
132
1099
33
8592
6500
1122
473
649
970
6806
2920
2570
1316
1786
1827
29
235
-305
-47
Source: Pakistan Economic Survey
Table 15
Foreign Aid Profile
Period Gross Aid
(Av. Annual)
(US$ Million)
Loans as
Percent of
Gross Aid
(%)
Debt Service
(Av. Annual)
(US $ Million)
Debt Service
as Percent of
Export
Receipts
(%)
1956-1960
1961-1965
1966-1970
1971-1977
1978-1982
1983-1986
215
582.2
587.4
859.3
1353.2
1809.5
46.2
62.0
76.0
89.0
74.1
72.7
6.4
43.8
122.4
214.9
551.6
586.3
4.9
24.3
39.1
24.4
22.6
27.2
Notes: a. Aid refers to commitments of grant plus loans.
b. Debt service includes payments of principal and interest on medium
and long term loans. It does not include charges on IMF facilities and
short term borrowing.
c. Export receipts refers to receipts from commodity exports and does not
include services, invisibles, etc.
Source: Pakistan Economic Survey, various years (Calculations mine). 193
Table 16
Net Transfer of resources and External Debt Outstanding
(Outstanding)
Year Gross
Disbursement
Net Transfer Net Transfer
as percent of
Gross
Disbursement
(%)
External Debt
Outstanding
(Disbursed)
1978
1981
1982
1983
1984
1985
1986
856
861
809
1122
1021
1107
1357
482
186
177
322
129
148
367
56
22
22
29
13
13
27
7189
8765
8799
9312
9469
9732
n.a.
Source: Pakistan Economic Survey 1985-86.
Table 17
Gold and Gross Foreign Exchange Reserves held and controlled by State Bank of Pakistan
Year Total Reserves (Cash + Gold) in June
(US$ Million)
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
463
403
486
641
431
1010
904
2019
1866
1460
2758
2489
1190
Source: State Bank of Pakistan. 194
Table 18
Pakistan’s Terms of Trade
Price Index of Exports
1975-76
1976-77
1977-78
1978-79
1979-80
1980-81
1981-82
1982-83
1983-84
1984-85
1985-86
100
108.4
105.3
126.1
111.1
97.0
89.2
93.1
92.0
92.9
88.9
Source: Federal Bureau of Statistics and Pakistan economic Survey 1985-86.
Table 19
Historical and Projected Growth Rates
(World Bank Projections
1972-73 – 1994-95
(Percentage)
1972-73 – 1977-78 1977-78 – 1984-85 1985-86 – 1994-95
Real Growth Rates
GNP
GDP (Factor cost)
Agriculture
Industry
Consumption
Fixed Investment
Merchandise Exports
Merchandise Imports
Shares of GNP
Fixed Investment
Financed by
Gross Domestic
Savings
Foreign Savings
5.2
5.0
2.3
3.8
5.7
5.1
-4.0
7.0
1977-78
15.4
7.2
8.2
6.6
6.5
3.8
10.3
6.4
4.6
8.7
7.3
1984-85
14.3
6.0
8.3
5.6
6.1
4.0
10.0
5.0
7.8
8.3
4.4
1994-95
17.3
13.8
3.5
Source: World Bank, Pakistan: Recent Economic Developments and Structural
Adjustments, op. cit.,
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