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EPA Review Annex Documents - DFID

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Cape Verde (loss of 4.1% of GDP) and Gambia (loss of 3.5% of GDP). These are significant<br />

loses that have to be weighed against the possible gains derived from trade creation. In<br />

terms of development aid necessary to offset the negative restructuring costs, Milner (2006)<br />

suggests that these should focus primarily on fiscal adjustment where an extra €955 million<br />

should be disbursed to compensate for the high loss of revenue. This disbursement should<br />

focus on enhancing tax collection methods from alternative sources (i.e. VAT). Overall,<br />

Milner’s calculations suggest that the ECOWAS region is the one that should receive the<br />

highest compensation given its size and particular vulnerability with an estimated amount<br />

just below €2.8 billion.<br />

CEMAC<br />

The impact of losing Cotonou preferences for the CEMAC region is expected to reduce<br />

exports to the EU by 4% according to Fontagne et al (2008). Whilst signing the <strong>EPA</strong>s should<br />

increase exports to the EU by 7% (4% from retaining preferences and 2% for increased<br />

preferences as a result of the <strong>EPA</strong> agreement) and imports from the EU by 17%. ECA<br />

(2005) concur that trade creation will dominate over trade diversion, but they show strong<br />

fiscal effects particularly for Cameroon, Congo and Gabon. Fontagne et al (2008) estimate<br />

the tariff revenue loss to range between 41% and 30% of custom takings. Milner (2006) in<br />

turn calculates the compensatory package to deal with this tariff revenue loss and<br />

adjustment to new conditions to be of €270 million. He estimates that the region should<br />

absorb €880 million in compensatory packages to smoothen the transition period.<br />

COMESA<br />

Where the COMESA region is concerned, the loss of Cotonou preferences would reduce<br />

exports to the EU by 12%, but the completion of the <strong>EPA</strong>s will increase exports to the EU by<br />

25% and imports from the EU by 21% according to Fontagne et al (2008). The fiscal effects<br />

are likely to be lower than those for the ECOWAS and CEMAC regions where reciprocation<br />

would reduce tariff revenue takings within the range of 21%-16%. ECA (2005) identify the<br />

biggest losses in value terms to come from Kenya, Sudan, Mauritius, Ethiopia, DRC and the<br />

Seychelles. Mckay et al (2008) estimate, using a PE model, that the loss of tariff revenue<br />

could be as large as 70% in Tanzania and 60% in Uganda. Milner’s (2006) calculations on<br />

the amount of development aid needed to reduce the adjustment burdens in the region sum<br />

to €2.7 billion.<br />

SADC<br />

In the SADC region, the CGE results of Keck and Piermartini (2008) point to an increase in<br />

exports and imports of 3.6% and 11.4% respectively under a full reciprocal liberalisation<br />

scenario where the overall effect on GDP would be an increase in 0.12% for the region. This<br />

overall increase masks a small possible decline in GDP for Botswana, Zambia, Mozambique<br />

and Tanzania. Where the decline for the latter is also evidenced in McKay et al (2008) and<br />

amounts to a loss of 0.5% of GDP. 86 Perez (2005) here sees a very small overall decline in<br />

GDP as a result of the <strong>EPA</strong>s in the SADC region and estimates the fiscal loss to be 0.4% of<br />

GDP if 80% of trade is liberalised and 1.4% of GDP if there is full reciprocal liberalisation. 87<br />

Milner’s (2006) results seem to also reflect lower compensatory measures as a result of<br />

revenue loses where he estimates the amount to be disbursed at €340 million with an overall<br />

requirement of just over €1 billion in development aid to enable SADC countries to adapt to<br />

new conditions.<br />

86<br />

However, the change in negotiating groups for Tanzania might alter these results somewhat.<br />

87<br />

Note that some countries are not singularly identified in the SADC grouping used in the Perez<br />

(2005) estimations.<br />

38

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