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R EVENUE AND WELFARE IMPLICATIONS OF SAFTA: PARTIAL EQUILIBRIUM ANALYSIS 55<br />

To model the behaviour of the consumer, SMART<br />

relies on the Armington assumption. In particular, the<br />

adopted modelling approach is based on the assumption<br />

of imperfect substitution between different import<br />

sources (different varieties). That is, goods (defined at<br />

the HS 6-digit level) imported from different countries,<br />

although similar, are imperfect substitutes. In the<br />

SMART modelling framework, a change in trade policy<br />

(tariff liberalisation) affects not only the price index/<br />

level of the composite good but also the relative<br />

prices of the different varieties. SMART reports the<br />

results of any trade policy shock on a number of<br />

variables, including tariff revenue, consumer surplus,<br />

and welfare.<br />

Tariff revenue change on a given import flow is<br />

computed simply as the final advalorem tariff multiplied<br />

by the final import value minus the initial advalorem<br />

tariff multiplied by the initial import value. Using<br />

SMART simulations, an attempt has been made to<br />

estimate revenue effect of tariff reduction by 100%.<br />

Revenue effect of 100% tariff reduction are also cross<br />

checked by multiplying simple and weighted average<br />

tariff with total import value of the country. Welfare<br />

and trade creation effect of 100% tariff reduction has<br />

also been estimated by SMART modelling.<br />

REVENUE, WELFARE AND TRADE EFFECTS:<br />

RESULTS<br />

Impact on Bangladesh<br />

Tables 7.1 and 7.2 indicate bilateral revenue, welfare<br />

and trade effects of zero tariffs under SAFTA for<br />

Bangladesh.<br />

• Revenue losses to Bangladesh are estimated to be<br />

about $0.9 billion on the basis of SMART<br />

simulation while it is $0.5 billion on the basis of<br />

weighted average tariff and 0.23 billion in case of<br />

simple average. Maximum revenue loss of $0.88<br />

billion is due to tariff cut by 100% on imports<br />

from India (Table 7.1).<br />

• There are welfare gains for Bangladesh and other<br />

SAARC countries from 100% tariff reduction by<br />

Bangladesh. Welfare gains for all seven countries<br />

amounts to $0.8 billion and maximum welfare<br />

gains are due to tariff cuts by India and Bangladesh<br />

(Table 7.2).<br />

• 100% tariff reduction by Bangladesh creates trade<br />

of approximately $0.27 billion (Table 7.2).<br />

Table 7.2 Effect of 100% Tariff Cuts on Welfare<br />

and Trade: Bangladesh<br />

($ ‘000)<br />

Partner Country Welfare Effect Total Trade Effect<br />

India–Bangladesh 766,355 269,669<br />

Bhutan–Bangladesh 0 0<br />

Pakistan–Bangladesh 29,299 6,173<br />

Sri Lanka–Bangladesh 127 3,593<br />

Nepal–Bangladesh 32 133<br />

Total effect 795,813 279,569<br />

Impact on India<br />

Tables 7.3 and 7.4 indicate bilateral revenue, welfare<br />

and trade effects in case India cuts tariff by 100% for<br />

SAFTA member countries.<br />

• Revenue losses to India are about $0.12 billion on<br />

the basis of SMART simulation while it is also<br />

approximately $0.1 billion on the basis of simple<br />

and weighted average tariff. Results are quite<br />

consistent in both the approaches (Table 7.3).<br />

• There are welfare gains for India and other SAFTA<br />

member countries from 100% tariff reduction by<br />

India. Welfare gains for all seven countries amount<br />

to be $0.8 billion (Table 7.4).<br />

• In case of 100% tariff reduction by India, trade<br />

increased by approximately $0.7 billion (Table 7.4).<br />

Table 7.1 Effect of 100% Tariff Cuts on Revenue: Bangladesh<br />

($ ‘000)<br />

Partner Country Revenue Effect: Using Revenue Effect Revenue Effect Bangladesh Imports<br />

SMART Simulations (using simple average) (using weighted average)<br />

India–Bangladesh –887,442 –202,676 –505,603 1,278,712<br />

Bhutan–Bangladesh 0 0 0 0<br />

Pakistan–Bangladesh –25,858 –29,672 –26,098 142,379<br />

Sri Lanka–Bangladesh –1,954 –1,910 –2,094 9,567<br />

Nepal–Bangladesh 0 –28 –7 129<br />

Total effect –915,254 –234,286 –533,802 10

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