Implications of the COMESA FTA and Proposed Customs Union: An Empirical Investigation

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Implications of the COMESA FTA and Proposed Customs Union: An Empirical Investigation Stephen Karingi, KIPPRA, Kenya Mahinda Siriwardana, UNE, Australia Eric Ronge, KIPPRA, Kenya

Research Background COMESA building block of Africa Integration Also fits in the evolving multilateral trading system. COMESA has two vital activities : Its trade liberalisation programme Eventual elimination of all trade barriers between member states Establishment of a common external tariff for non-members Economic integration programme.

Policy Issues Which countries gain and which lose? Should COMESA be a customs union or free trade area Dual memberships to SADC and COMESA. Industry structure changes. Implications for import competitive industries. Welfare implications and impact on poverty reduction.

Some Facts from the GTAP Database Aggregation COMESA countries show significant variations in economic size, role of trade and factor endowments. exports/gdp of Zimbabwe (31.6%), Zambia (26.2%), Malawi (22.6%) and Uganda (11%). dependence shows scope for trade liberalisation to impact the economies.

Some Facts from the Database Aggregation Labour share of value added large in COMESA, but most is unskilled, income poverty alleviation possible. Primary sector accounts on average 28% of output in the five COMESA countries. Benefits/losses from the FTA and customs union dependent on the initial conditions. Significant trade barriers in COMESA.

COMESA FTA: The Simulation Using GTAP and the database aggregation, two (short- and long-run) simulations were carried out. SR: all intra-comesa import tariffs eliminated with external tariffs towards non-comesa imports unchanged. LR: implications of the FTA analysed assuming that capital, natural resources and land quantities change.

COMESA FTA: Short Run Macro and Performance Results % Deviation US$ million Real Terms of GDP Import Export Equivalent GDP Deflator Volumes Volumes Balance Variation MALA -0.06-0.15-0.21 4.36 1.93-11.98-1.79 TANZ 0.12 1.47 1.56 2.94 1.84-25.51 28.24 ZAMB 0.14 0.82 1.03 1.47 0.16-3.39 14.16 ZIMB 0.25 0.2 0.22 2.73 1.76-38.53 27.44 UGAN 0.01 0.41 0.53 0.47-0.16-3.3 4.95

COMESA FTA: Long Run Macro and Results % Deviation US$ million Real Terms of GDP Import Export Equivalent GDP Deflator Volumes Volumes Balance Variation MALA 0.06-0.19-0.3 4.36 2.27-10.16 0.66 TANZ 1.32 1.11 1.17 3.77 3.72-25.86 92.67 ZAMB 0.99 0.43 0.77 2.46 2.3 6.42 38.63 ZIMB 0.83 0.11-0.05 2.86 2.99-13.11 55.16 UGAN 0.18 0.27 0.33 0.48 0.41-0.2 13.19

Implications of Industry Outputs of COMESA FTA: Short Run -0.38 0.28-0.56-2.35-0.34 OthMnfcs 1.84 3.66 8.82 18.58 6.38 FabrMetals -0.79-2.04-1.89 2.63 0.76 BasicMetal 11.96 7.56 4.13-1.34-0.81 Chemicals -0.04-0.13 1.03-0.21-0.55 PetMin -0.22 0.57 1.34-0.59 0.92 WoodPap -0.81 2.53 0.72-1.82-0.86 TexLeath -0.02 1.83 0.22-0.19-0.88 BevTobac 1.47-0.24 0.22-0.79 0.54 FoodMnfcs -0.19-0.48-1.2-0.8 0.26 Mining 0.03-0.4 0.28-0.02-0.1 ForFish 0.06 0.03 0.14-0.47 1.65 Livestock -1.05-3.46-0.79 2.07-0.47 OthCrops 0.05 0.15-0.05-1.28 0.2 VegFruit 0.66 0.14 0.07-0.65 0.09 Grain UGAN ZIMB ZAMB TANZ MALA

Implications of Industry Outputs of COMESA FTA: Long Run 0.07 0.99 0.74-0.25-0.21 OthMnfcs 2.54 6.52 9.95 23.22 6.59 FabrMetals -0.03 0.11 0.76 5.72 1.1 BasicMetal 12.55 9.61 4.82 0.45-0.61 Chemicals 0.38 0.71 2.19 1.62-0.39 PetMin 0.14 2.16 1.87 1.24 1.16 WoodPap -0.55 4.15 1.4 0.26-0.51 TexLeath 0.16 2.23 0.64 0.76-0.8 BevTobac 1.64 0.14 0.56 0.03 0.64 FoodMnfcs 0.29 0.85 0.58 0.58 0.42 Mining 0.25 0.38 1.01 1.23-0.01 ForFish 0.14 0.28 0.48 0.43 1.63 Livestock -0.73-4.11-0.53 3.01-0.24 OthCrops 0.14-0.37 0.22-0.5 0.32 VegFruit 0.74-0.14 0.05-0.1 0.13 Grain UGAN ZIMB ZAMB TANZ MALA

Implications of Industry Outputs of COMESA FTA Most manufacturing sectors contract in the SR. Fabricated metals emerges as key in the SR and LR. Possible with external tariffs for non-comesa imports. Overall, potential exists for COMESA countries to witness some form of structural changes. Argument about given countries manufacturing sectors being swamped due to FTA need to be taken to a more disaggregated level. Similarly, different sectors within the primary category respond differently.

Welfare Implications of COMESA FTA SHORT RUN (US$ million) LONG RUN (US$ million) Alloc. Eff. TOT IS Total Alloc. Eff. Endow TOT IS Total MALA -1.8-0.9 0.9-1.8-1.9 2.8-1.3 1 0.7 TANZ 7.8 16.4 4 28.2 12.7 65.4 12.6 2 92.7 ZAMB 5.8 9.1-0.7 14.2 9.2 25.1 4.8-0.4 38.6 ZIMB 20.9 4.9 1.5 27.4 23.3 29.1 2.8-0.1 55.2 UGAN 0.6 3 1.3 5 0.7 10 2 0.5 13.2

Creation vs Diversion under the COMESA FTA Short Run (US$ million) Long Run (US$ million) creation diversion expansion creation diversion expansion Malawi 46.1-36.3 9.8 47.1-37.5 9.6 Tanzania 36.6 22.4 59 37.6 40.5 78.1 Zambia 1.1 15.1 16.2 15.8 6.2 22 Zimbabwe 115.5-56.3 59.2 120.1-58 62.1 Uganda -0.1 5.7 5.6 1.6 3.7 5.3 Total 199.2-49.4 149.8 222.2-45.1 177.1

COMESA Customs Union: The Simulation Design To analyse the implications of the customs union, two simulations were conducted. SR simulation: FTA left in place and then the CET rates were imposed on the COMESA nonmember countries imports. LR Simulation: The same experiment was repeated but quantities of capital, land and natural resources were permitted to vary.

COMESA Customs Union: GDP Implications COMESA FTA and Custom Union Implications for Real GDP 2 1.5 Real GDP (% Deviation) 1 0.5 0 MALA TANZ ZAMB ZIMB UGAN FTA Short Run FTA Long Run CU Short Run CU Long Run -0.5

COMESA Customs Union Implications for Factors Returns SR - Short Run LR - Long Run Land UnSkLab SkLab Capital NatRes Land UnSkLab SkLab Capital NatRes MALA 0.97 1.6 1.39 1.27 4.73-0.2 2.94 2.51-0.22-0.22 TANZ 0.23 0.85 0.93 0.96-2.76-0.3 1.87 1.44-0.32-0.32 ZAMB -2.7 1.22 1.47 1.05-1.35-0.9 2.59 2.82-0.88-0.88 ZIMB -12.2 3.08 2.94 3.39-2.65 1.84 3.49 3.43 1.84 1.84 UGAN -1.29 0.01 0.66 0.65 0.66-0.1 0.39 0.8-0.06-0.06

SR COMESA Customs Union Implications of Industries Output 3.52 13.75 17.25 10.65 40.57 CGDS 2.15 8.72 3.46 2.87 11.56 Constr 1.44 3.1 1.39 24.82 0.28 OthMnfcs -20.18-18.22-16.8-15.33-22.46 FabrMetals -0.63 7.77-0.7-3.97-12.25 BasicMetal 27.23 10.5 14.06-0.52 1.77 Chemicals -4.59 2.6 3.68-1.35 3.94 PetMin 1.4-1.1 0.13-6.2-1.55 WoodPap 6.82 0.18 3.62 7.22-7.9 TexLeath 1.02 0.33-0.02 1.11-3.42 BevTobac 3.57 0.4 0.29-0.17 1.13 FoodMnfcs -0.31-0.95-4.24 2.1 1.55 Mining 0.08-1.04 0.14-0.96 0.21 ForFish 0.16 0.23-0.04-1.09 12.04 Livestock -0.12-4.59-1.15 2.22-1.71 OthCrops -0.05-2.57-0.99-2.01-1.2 VegFruit -2.99-2.31-0.31-1.62 0.16 Grain UGAN ZIMB ZAMB TANZ MALA

LR COMESA Customs Union Implications of Industries Output 3.48 13.46 16.86 11.39 37.69 CGDS 2.39 8.96 4.81 4.06 11.9 Constr 2.39 4.46 3.7 27.51 1.6 OthMnfcs -18.86-15.66-14.75-13.33-20.59 FabrMetals 1.02 12.04 4.12-1.71-9.35 BasicMetal 28.19 11.83 16.32 1.01 3.88 Chemicals -3.72 3.97 5.99 0.15 5.6 PetMin 2.16 0.4 2.29-4.76 0.54 WoodPap 7.91 2.41 5.24 9.09-4.64 TexLeath 1.32 0.91 1.01 1.88-2.38 BevTobac 3.98 1.05 1.02 0.5 2.08 FoodMnfcs 0.72 0.79-0.92 3.24 3.85 Mining 0.49 0.03 1.65-0.15 1.3 ForFish 0.29 0.67 0.7-0.43 11.97 Livestock 0.28-5.24-0.49 2.91 0.2 OthCrops 0.07-3.23-0.41-1.51-0.33 VegFruit -2.88-2.86 0.06-1.2 0.49 Grain UGAN ZIMB ZAMB TANZ MALA

COMESA Customs Union Implications of Industries Output Most countries protect the primary sectors. Since the CET for this sector has been agreed at 5%, this explains overall declines. In the LR, manufacturing sectors value added is mostly positive though the magnitudes of the positivism appear not to be significant in some cases. A good analysis is to consider the disaggregation of the broad manufacturing sector to understand the implications for different economies.

Total Welfare Effects of COMESA FTA and Customs Union Total Welfare Effects of COMESA FTA and Custom Union 120 100 80 60 US$ million 40 20 0-20 MALA TANZ ZAMB ZIMB UGAN -40-60 -80 FTA Short Run FTA Long Run CU Short Run CU Long Run Country

COMESA Customs Union: Creation vs Diversion Short Run (US$ million) Long Run (US$ million) creation diversion expansion creation diversion expansion Malawi 21.7 17.5 39.2 22.8 14.5 37.3 Tanzania 23.6-32.8-9.2 24.6-21.2 3.4 Zambia 12.4 9.6 22 13.9 20.7 34.6 Zimbabwe 69.3 8 77.3 72.5 2 74.5 Uganda 1.8 0 1.8 1.9-1.8 0.1 Total 128.8 2.3 131.1 135.7 14.2 149.9

Key findings on the FTA Tanzania could have benefited from COMESA. arrangement with potential to reduce poverty. De-industrialisation not a foregone conclusion. Different sub-sectors respond differently in spite of similar structures at sectoral level. FTA benefits all in terms of welfare. Overall trade expansion occurs.

Key findings on the customs union All countries except Tanzania benefit in real incomes terms. liberalisation an option for developing long term poverty reduction strategy. De-industrialisation not a severe problem. Transition from the FTA to customs union require more time. Welfare gains occur under a customs union. Overall trade expansion occurs.

Conclusions COMESA is better of with free trade. The customs union must be preferred to the FTA. diversion not significant to take welfare gains away.