IDEAS home Printed from https://ideas.repec.org/p/ekd/006356/7232.html
   My bibliography  Save this paper

A General Equilibrium Analysis of the COMESA-EAC-SADC Tripartite FTA

Author

Listed:
  • Dirk Willenbockel

Abstract

This study provides an ex-ante computable general equilibrium assessment of the planned Tripartite Free Trade Agreement between the member states of the Common Market for Eastern and Southern Africa, the East African Community and the Southern African Development. Community. The analytical framework is a global 21-region 22-sector CGE trade model.The simulation analysis considers eight distinct trade integration scenarios, that differ in their level of ambition. • All eight trade liberalization scenarios under consideration lead to positive net real income gains for the TFTA area as a whole. • The removal of remaining tariff barriers to intra-COMESA and intra-SADC trade by 2014 in the absence of a TFTA agreement (scenario S1) generates an estimated aggregate annual gain for the TFTA group on the order of US$ 328 million, a modest 0.04 percent of TFTA 2014 baseline final demand for goods and services. • The establishment of a free trade area with a full elimination of all tariffs on trade among all 26 potential partners (scenario S2) is projected to generate an annual welfare gain of US$ 578 million or roughly 0.1 percent of total TFTA area 2014 baseline absorption. Thus, if we assume that complete tariff liberalization within COMESA and SADC without any remaining exceptions for sensitive products will be achieved by 2014 prior to the implementation of TFTA, the additional welfare gain genuinely attributable to TFTA tariff liberalization among the three RECs is around US$ 250 million p.a. for the TFTA group as a whole. • In absolute terms, South Africa enjoys the largest real income gains under full intra-FTA tariff liberalization whereas the largest gains relative to baseline absorption are projected for “Other SACU” (i.e. Swasiland and Lesotho) (+0.8 percent) and Namibia (+0.4 percent).. • Zimbabwe and to a lesser extent Malawi, Zambia, Rwanda, South Central Africa (Angola and DR Congo), Botswana and Other East Africa suffer moderate welfare losses under this scenario as result of a terms-of trade deterioration that dominates the gains from lower consumer prices for TFTA imports. • If Ethiopia, Angola and DR Congo choose not to participate in the TFTA (scenario S3), the aggregate net welfare gain for the area as a whole drops by around US$ 260 million compared to the full participation scenario S2. The simulation results suggest that participation in the free trade agreement would be in Ethiopia’s own interest. • The exclusion of fossil fuels and sugar products as sensitive products from tariff liberalization (scenario S4) would reduce the total welfare gain for the TFTA group by roughly US$ 130 million per annum compared to S2. • The partial tariff liberalization scenario S6, which assumes full liberalisation of capital goods only, 80% tariff cuts on intermediate goods and 50% tariff cut on consumption goods, reduces the net aggregate welfare gain for the TFTA group by nearly US$ 150 million compared to the full liberalization scenario S2, and the increase in aggregate intra-TFTA trade flows is US$ 821 million lower than under S2. • In the least ambitious tariff liberalization scenario under consideration, only baseline tariffs with an ad valorem rate of up to 10 percent are removed completely, whereas tariffs with a higher rate are cut by 50 percent. In this case the aggregate net welfare gain for the TFTA group projected by the model is a meagre 0.04 percent of baseline absorption. • However, the strongest message emerges from the most ambitious TFTA scenario, which combines complete tariff liberalization for intra-TFTA trade with a reduction in non-tariff trade barriers that reduce the costs of border-crossing trade within the TFTA area. The projected aggregate net benefit for the TFTA group amounts to over US$ 3.3 billion per annum, that is nearly 0.4 percent of aggregate baseline absorption and more than five times the gains resulting from full intra-TFTA tariff liberalization alone. • Importantly, in contrast to the S2 scenario all TFTA regions enjoy a positive aggregate welfare gain in this case. The countries with the largest projected percentage increases in real absorption are Zimbabwe (+2.6 percent), Namibia (+2.4 percent), Mozambique (+2.2 percent), Botswana (+1.8 percent) and Other SACU (+1.5 percent). • In this most ambitious scenario, the total volume of intra-TFTA trade is boosted by US$ 7.7 billion, an increase of nearly 20 percent relative to the 2014 baseline volume. • The simulation results do not suggest that TFTA leads to systematic increase in wage inequality. • Significant sectoral production effects with corresponding significant implications for sectoral employment are concentrated in a sub-set of sectors including primarily sugar products with backward linkage effects to sugar cane production, beverages and tobacco and light manufacturing, and to a lesser extent for some TFTA countries in textiles, metals and metal production, and chemicals.

Suggested Citation

  • Dirk Willenbockel, 2014. "A General Equilibrium Analysis of the COMESA-EAC-SADC Tripartite FTA," EcoMod2014 7232, EcoMod.
  • Handle: RePEc:ekd:006356:7232
    as

    Download full text from publisher

    File URL: http://ecomod.net/system/files/TFTA_EcoMod2014.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scott McDonald & Sherman Robinson & Karen Thierfelder, 2007. "Globe: A SAM Based Global CGE Model using GTAP Data," Departmental Working Papers 14, United States Naval Academy Department of Economics.
    2. Osman, Rehab Osman Mohamed, 2012. "The EU Economic Partnership Agreements with Southern Africa: a computable general equilibrium analysis," Economics PhD Theses 0412, Department of Economics, University of Sussex Business School.
    3. Lippoldt, Douglas, 2013. "Policy Priorities for International Trade and Jobs," 2013: Employment, Immigration and Trade, December 15-17, 2013, Clearwater Beach, Florida 182509, International Agricultural Trade Research Consortium.
    4. Nelson, Gerald C. & Rosegrant, Mark W. & Palazzo, Amanda & Gray, Ian & Ingersoll, Christina & Robertson, Richard & Tokgoz, Simla & Zhu, Tingju & Sulser, Timothy B. & Ringler, Claudia & Msangi, Siwa & , 2010. "Food security, farming, and climate change to 2050: Scenarios, results, policy options," Research reports Gerald C. Nelson, et al., International Food Policy Research Institute (IFPRI).
    5. Willenbockel, Dirk, 2004. "Specification choice and robustness in CGE trade policy analysis with imperfect competition," Economic Modelling, Elsevier, vol. 21(6), pages 1065-1099, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Edward J. Balistreri & Maryla Maliszewska & Israel Osorio-Rodarte & David G. Tarr & Hidemichi Yonezawa, 2016. "Poverty and Shared Prosperity Implications of Reducing Trade Costs Through Deep Integration in Eastern and Southern Africa," Working Papers 2016-07, Colorado School of Mines, Division of Economics and Business.
    2. Edward J Balistreri & Maryla Maliszewska & Israel Osorio-Rodarte & David G Tarr & Hidemichi Yonezawa, 2018. "Poverty, Welfare and Income Distribution Implications of Reducing Trade Costs Through Deep Integration in Eastern and Southern Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 27(2), pages 172-200.
    3. Leone Walters & Heinrich R. Bohlmann & Matthew W. Clance, 2016. "The Impact of the COMESA-EAC-SADC Tripartite Free Trade Agreement on the South African Economy," Working Papers 201669, University of Pretoria, Department of Economics.
    4. Shahrokhi Shahraki, Hamed & Bachmann, Chris, 2019. "Integrating a Computable General Equilibrium model with empirically calibrated transportation models for border crossing investment analysis," Research in Transportation Economics, Elsevier, vol. 78(C).
    5. albagoury, samar & Anber, Mahmoud, 2018. "COMESA-EAC-SADC trepertite free trade area: challenges and prospects," MPRA Paper 92621, University Library of Munich, Germany, revised 2018.
    6. Edward J. Balistreri & David G. Tarr & Hidemichi Yonezawa, 2015. "Deep Integration in Eastern and Southern Africa: What are the Stakes?," Journal of African Economies, Centre for the Study of African Economies, vol. 24(5), pages 677-706.
    7. Bouët, Antoine & Nimenya, Nicodème, 2023. "Agricultural trade and trade integration in the East African community," IFPRI book chapters, in: Africa agriculture trade monitor 2023, chapter 6, pages 175-204, International Food Policy Research Institute (IFPRI).
    8. Low,Patrick & Osakwe,Chiedu & Oshikawa,Maika (ed.), 2016. "African Perspectives on Trade and the WTO," Cambridge Books, Cambridge University Press, number 9781107174474.
    9. Low,Patrick & Osakwe,Chiedu & Oshikawa,Maika (ed.), 2016. "African Perspectives on Trade and the WTO," Cambridge Books, Cambridge University Press, number 9781316626528.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Willenbockel, Dirk, 2013. "General Equilibrium Assessment of the COMESA-EAC-SADC Tripartite FTA," MPRA Paper 51501, University Library of Munich, Germany.
    2. Willenbockel, Dirk, 2014. "Computable General Equilibrium Simulations of the COMESA-EAC-SADC Tripartite Free Trade Agreement," MPRA Paper 78069, University Library of Munich, Germany.
    3. Osman, Rehab Osman Mohamed, 2012. "The EU Economic Partnership Agreements with Southern Africa: a computable general equilibrium analysis," Economics PhD Theses 0412, Department of Economics, University of Sussex Business School.
    4. van der Mensbrugghe, Dominique, 2013. "Modeling the Global Economy – Forward-Looking Scenarios for Agriculture," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 933-994, Elsevier.
    5. Adams, Philip D., 2008. "Insurance against Catastrophic Climate Change: How Much Will an Emissions Trading Scheme Cost Australia?," Conference papers 331770, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. Kym Anderson & Anna Strutt, 2012. "Agriculture and Food Security in Asia by 2030," Macroeconomics Working Papers 23309, East Asian Bureau of Economic Research.
    7. Pachara Lochindaratn, 2007. "Market Size, Market Structure, and Welfare Improving Regional Economic Integration: The Computable General Equilibrium Modelling Approach," EcoMod2007 23900053, EcoMod.
    8. Ouraich, Ismail & Dudu, Hasan & Tyner, Wallace E. & Cakmak, Erol, 2014. "Could Free Trade Alleviate Effects of Climate Change: A Worldwide Analysis with Emphasis on Morocco and Turkey," Conference papers 332460, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Kym Anderson & Anna Strutt, 2014. "Emerging economies, productivity growth and trade with resource-rich economies by 2030," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(4), pages 590-606, October.
    10. George Cusworth & Jennifer Dodsworth, 2021. "Using the ‘good farmer’ concept to explore agricultural attitudes to the provision of public goods. A case study of participants in an English agri-environment scheme," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(4), pages 929-941, December.
    11. Eshita Gupta & Bharat Ramaswami & E. Somanathan, 2021. "The Distributional Impact of Climate Change: Why Food Prices Matter," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 249-275, July.
    12. Alvaro Calzadilla & Katrin Rehdanz & Richard Betts & Pete Falloon & Andy Wiltshire & Richard Tol, 2013. "Climate change impacts on global agriculture," Climatic Change, Springer, vol. 120(1), pages 357-374, September.
    13. Shinichiro Fujimori & Tomoko Hasegawa & Volker Krey & Keywan Riahi & Christoph Bertram & Benjamin Leon Bodirsky & Valentina Bosetti & Jessica Callen & Jacques Després & Jonathan Doelman & Laurent Drou, 2019. "A multi-model assessment of food security implications of climate change mitigation," Nature Sustainability, Nature, vol. 2(5), pages 386-396, May.
    14. Corong, Erwin, 2010. "Global economic crisis, gender and poverty in the Philippines," Conference papers 331939, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. Erwin Corong & Thomas Hertel & Robert McDougall & Marinos Tsigas & Dominique van der Mensbrugghe, 2017. "The Standard GTAP Model, version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 1-119, June.
    16. Jin, Yu & Huffman, Wallace E., 2013. "Reduced U.S. Funding of Public Agricultural Research and Extension Risks Lowering Future Agricultural Productivity Growth Prospects," Staff General Research Papers Archive 36796, Iowa State University, Department of Economics.
    17. McDonald, Scott & Robinson, Sherman & Thierfelder, Karen, 2008. "Asian Growth and Trade Poles: India, China, and East and Southeast Asia," World Development, Elsevier, vol. 36(2), pages 210-234, February.
    18. Gwimbi, Patrick & Thomas, Timothy S. & Hachigonta, Sepo & Sibanda, Lindiwe M., 2013. "Lesotho," IFPRI book chapters, in: Hachigonta, Sepo & Nelson, Gerald C. & Thomas, Timothy S. & Sibanda, Lindiwe Majele (ed.), Southern African agriculture and climate change: A comprehensive analysis, chapter 4, pages 71-110, International Food Policy Research Institute (IFPRI).
    19. De Pinto, Alessandro & Wiebe, Keith D. & Rosegrant, Mark W., 2016. "Climate change and agricultural policy options: A global-to-local approach," Policy briefs 978-089629-244-4, International Food Policy Research Institute (IFPRI).
    20. Calzadilla, Alvaro & Rehdanz, Katrin & Tol, Richard S.J., 2008. "Water scarcity and the impact of improved irrigation management: A CGE analysis," Conference papers 331788, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    More about this item

    Keywords

    Multi-country with focus on Sub-Saharan Africa; Trade and regional integration; General equilibrium modeling (CGE);
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ekd:006356:7232. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.