Presentation is loading. Please wait.

Presentation is loading. Please wait.

Estimating the Effects of Regional Integration

Similar presentations

Presentation on theme: "Estimating the Effects of Regional Integration"— Presentation transcript:

1 Estimating the Effects of Regional Integration
Nigel Grimwade (LSBU)

2 Regional economic integration
Definition: the process whereby separate national economies are combined into larger economic regions Two basic conditions:- Free movement of goods and factors of production (labour and capital) Absence of discrimination Brought about in 2 ways:- Negative integration – removal of discrimination (e.g. tariffs) and restrictions on movement Positive integration – creation of common policies and institutions

3 Forms of regional economic integration
Types of regional economic integration:- Preferential trading agreements (e.g. EU’s Lomé and Cotonou Agreements) Free trade agreements – elimination of tariffs on all trade between the member states (e.g. EFTA, NAFTA, AFTA) Customs unions – internal free trade plus a common external tariff (e.g. EC/EU, Mercosur) Common Markets – free trade in goods and services and free movement of capital and labour (e.g. SEM) Monetary unions – adoption of a common currency, single central bank and common monetary policy (e.g. Euro zone)

4 Economic effects of regional integration
Static effects - short-run, once-and-for all increase/decrease economic welfare due to:- Reallocation of resources due to trade-creation and trade-diversion Terms of trade effects – change in the ratio of average export prices to average import prices Dynamic effects – long run, on-going increase in national income due to:- Economies of scale (static and dynamic) Increased competition Increased investment (domestic and foreign) More rapid rate of technological innovation

5 Problems in estimating the effects of regional integration
Which effects to measure – effects on trade, national income, rate of economic growth What time period to consider – short- or long-run What types of integration to cover – tariffs, NTBs, services, factor mobility, monetary integration How to estimate the counterfactual – what would have happened if integration had not taken place

6 Simple extrapolation Most early studies were concerned with the static effects – trade-creation and trade-diversion Focused on trade (exports and imports) between the members (intra-area trade) and trade with non-members (extra-area trade) Made the simple assumption that intra- and extra-area exports/imports would have continued growing at the same rate had integration not happened (anti-monde) Difference between actual trade and the anti-monde (the residual) is the integration effect One major problem – this assumes that conditions in the post-integration period were the same as in the pre- integration

7 Intra- and extra-area trade share
A better approach is to extrapolate intra-area and extra- area exports/imports as shares of total imports (see diagram) e.g. Xij/Xi, Mij/Mi Increase in actual intra-area export/import share compared with the anti-monde is evidence for an integration effect But we have no way of knowing whether this is due to trade-creation or trade-diversion Is greatly affected by (a) the number of countries involved and (b) the region’s share in total trade Share may also be affected by an increase in the number of members over time

8 Residual imputation Intra- Regional Export Actual Share % Trend 0 T1 Time

9 Problems with simple residual models
Different factors may have affected intra- and extra area exports/imports in the pre- and post-integration periods, such as:- Rate of economic growth – import demand Phases of the business cycle Changes in relative prices Changes in the exchange rate Structural changes Reductions in multilaterally negotiated tariffs So, we cannot assume that what happened in the pre- integration period would have happened in the post- integration period had integration not happened

10 Shares of intra- and extra-area trade in national income/consumption
Extrapolate share of extra- and intra-area imports in GNP/GDP or…. Extrapolate share of extra- and intra-area imports in apparent consumption (domestic production less exports plus imports) An increase in share of AC coming from domestic sources is evidence for gross trade-creation An increase in share of AC coming from partner countries is evidence for net trade-creation A decrease in share of AC coming from rest of the world is evidence for trade-diversion

11 Balassa’s income elasticity of demand for imports approach
Income elasticity of demand for imports (∆M/∆Y) is calculated for pre- and post-integration period Rise in income elasticity of demand for imports for intra- area imports is defined as gross trade-creation Increase in income elasticity of demand for imports from member states is net trade-creation Decrease in demand for imports from non-member states is trade-diversion Found evidence for net trade-creation following the formation of the EC – but some trade diversion in agricultural goods

12 Use of a control group An alternative approach was to use a third country as a normaliser or control group Assumption was that intra- and extra-area imports would have grown at the same rate as imports of the normaliser country Necessary that normaliser country was a similar country not affected by any special factors But such an approach is heavily dependent on the country chosen

13 Intensity of Trade Approach
Based on the idea that there exists some “natural” amount of trade that will take place between any two countries If actual trade exceeds this natural amount, this suggests trade is biased by other factors Such factors include membership of a regional integration scheme Then, any increase in the degree of bias over time provides a measure of the effects of integration Several studies have used an intra-regional trade intensity index or trade concentration ratio:- Iij = Xij /Mj ÷ Mj /M Where I is greater than one, this implies geographical bias in trade due to natural and institutional factors

14 Intensity of trade approach
Increase in the index over time measures the trade integration effect But trend over time gives a confusing picture (see Table 2):- No change in some cases e.g. EU, EFTA Upward trend in others e.g. Mercosur and Andean Pact Downward trend in others Major weakness – lacks any proper measure of natural trade and fails to take account of possible changes in factors affecting natural trade

15 Gravity Models Draws on Newton’s law of gravity in physics and the idea that there is some “natural” amount of trade taking place between any two countries, i and j (intensity of trade) In the original gravity model, bilateral trade flows are affected by two forces or masses - trade potential and trade resistance Trade potential is shaped by size of each country’s GDP/GNP and population – and thus by per capita GDP/GNP Trade resistance is negatively related to distance between two countries But newer versions of the gravity models have added other variables to increase the explanatory power of the model

16 Gravity Models Newer versions of the gravity model have added other variables:- Geographical size – negative relationship Adjacency Common language (or cultural affinity) RTA membership Landlocked or island economies Common currency Former colonies using a dummy variable for 2-7 A simple form of the gravity equation might be:- log Xij = log A + β log Yi + β log Yj + μ log Hi + μ log Hj + γ log Ni + γ log Nj + α log Dij + log εij

17 Gravity estimation Simple approaches is to use the gravity equation to estimate the amount of trade expected had integration not occurred Actual trade is then compared with predicted trade – the residual measures the integration effect, But this approach cannot distinguish between trade- creation and trade-diversion Better approach is to estimate trade flows for integration period only, using dummy variables for membership/non- membership of the same trading bloc Coefficient of the dummy variable will measure how much extra trade was trade-creation and trade-diversion

18 An example: Frankel, 1997 Estimated the integration effects of 6 trading blocs between 1965 to 1994 Found positive integration effect for all cases, with strongest effects for ASEAN and ANZCERTA Strong effects were also found for Mercosur and the Andean Community But there was no statistically significant effect for the EU until after 1985 The EC bloc effect was stronger for the EC, but not significant until after 1980 But the two EC enlargements of 1973 and 1985 had major effects

19 Computable General Equilibrium Models
Involve construction of complex computer models covering all the sectors in a country’s economy – including goods, services, firms, households, government, labour, etc. Shows all the interconnections between different parts of the economy using a series of equations Model is then calibrated for a particular year and the model is then subject to a shock to estimate the effects Models may be single-country models (e.g. PRCGEM) or multi-regional (e.g. GTAP) Models can be used to study the effects of regional integration

20 Uses of CGE Modelling Were first used to analyse the effects of NAFTA and its enlargement to Central and Southern America Were also used extensively to study the effects of APEC liberalisation More recently, several models have been used to simulate the effects of the EU and its eastern enlargement CGE models have also been used extensively to estimate the effects of multilateral trade liberalisation e.g. effects of the Uruguay Round Can be used to predict what will happen (ex ante) as well as estimate what has happened (ex post)

21 Conclusions Important to have some idea of the size of the effects from regional integration Wide variety of different approaches have been used, but they give wildly different results Methodology used in this research has progressed from the early days No studies can tell us exactly what has happened or will happen because of the counterfactual problem But the use of econometric methods can give us a fair estimate of the broad magnitude of these effects CGE models are especially useful for estimating the long run effects on economic growth

Download ppt "Estimating the Effects of Regional Integration"

Similar presentations

Ads by Google