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EPA Review Annex Documents - DFID

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coverage. One common caveat in these techniques is that they are unable to model dynamic<br />

effects of preferential liberalisation. Even though there is a nascent econometric literature on<br />

firm productivity pioneered by Melitz (2003), the lack of data provides an important obstacle<br />

in applying these models to ACP countries. In addition, the lack of a unifying technique<br />

analysing the effects of preferential liberalisation on FDI flows means that these effects are<br />

often ignored (although some treatment can be done in CGE models). Adding to this, the<br />

lack of bilateral service trade data makes the task of estimating the effects of preferential<br />

liberalisation on service flows an arduous one.<br />

In Table 1 we present the strengths and weaknesses of each method used to assess<br />

preferential liberalisation whilst in the remainder of this literature review we look at the<br />

empirical studies which have evaluated the impact of the <strong>EPA</strong>s using one or a combination<br />

of the above exposed techniques. Here we focus primarily on the results obtained and on<br />

the assumptions underlying these.<br />

Table 1 Strengths and Weaknesses of methods used to analyse preferential<br />

liberalisation<br />

Strengths Weaknesses<br />

Computable<br />

General<br />

Equilibrium<br />

(simulation)<br />

Partial<br />

Equilibrium<br />

(simulation)<br />

Comparative<br />

Static<br />

Gravity Models<br />

(econometric)<br />

- Captures cross-sector and<br />

cross country linkages that<br />

result from changes in<br />

preferences.<br />

- Can capture second round<br />

effects.<br />

- Provides insights into<br />

adjustment mechanisms (be<br />

these through exchange rates or<br />

market clearing conditions).<br />

- Can be used to loosely<br />

analyse services and<br />

investment.<br />

- Can be used at high levels of<br />

disaggregation hence capturing<br />

product specific effects.<br />

- Data is readily available<br />

- Can be used to look at<br />

shallow and deep integration<br />

issues.<br />

- Is useful in identifying sectors<br />

that are likely to suffer most<br />

from preferential liberalisation.<br />

- is readily implementable..<br />

- Can identify trade creation and<br />

trade diversion.<br />

- Uses real trade flow data to<br />

assess the effects of an<br />

agreement ex-post<br />

35<br />

- Level of aggregation.<br />

- Data does not singularly identify<br />

many ACP countries and in GTAP<br />

last version is benchmarked at<br />

2004.<br />

- Strong assumptions are likely to<br />

drive results (market clearing and<br />

full utilisation of resources).<br />

- Analysis tends to be static and<br />

cannot capture dynamic impact of<br />

trade liberalisation.<br />

- No economy wide or international<br />

linkages.<br />

- Does not consider scale effects.<br />

- Ignores adjustment costs and<br />

price transmission mechanisms.<br />

- Does not provide quantitative<br />

results.<br />

- Is generally undertaken at a very<br />

aggregate level.<br />

- Tends to be used for ex-post<br />

analysis.

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