IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/202003.html
   My bibliography  Save this paper

Modeling Trade and Income Distribution in Six Developing Countries A dynamic general equilibrium analysis up to the year 2050

Author

Listed:
  • Wolfgang Britz

    (University of Bonn)

  • Yaghoob Jafari

    (University of Bonn)

  • Alexandr Nekhay

    (Loyola Andalusia University, Seville)

  • Roberto Roson

    (Department of Economics, Ca' Foscari University of Venice; Loyola Andalusia University, Seville; GREEN Bocconi University, Milan)

Abstract

This paper presents an empirical exercise, aimed at investigating the implications on poverty and income distribution of a reference scenario (SSP2) of economic development. It does so by coupling a dynamic general equilibrium model of the global economy, specifically designed to capture structural change dynamics in the medium and long run, with detailed micro data on household income in six countries: Albania, Bolivia, Ethiopia, Malawi, Nicaragua and Vietnam. We also consider an alternative scenario of accelerated international trade integration, with a higher degree of trade openness. We found that long run structural change widens income inequality in all six developing countries. Accelerated trade integration amplifies the effect further, but most of it is already generated in the baseline scenario. A decrease in the relative value of land property and an increase in the relative value of capital ownership appear as key determinants. We decompose income differentials in three dimensions. Structural change worsens the income gap between male and female headed households, but the additional impact of trade is minimal. The effect of structural change is not uniform across countries when income of rural households is contrasted with the one of urban households, yet more trade reduces the relative rural income. Relative poverty increases in both the baseline and the larger trade volume case. However, we found that absolute poverty would be eradicated in almost all countries by the year 2050.

Suggested Citation

  • Wolfgang Britz & Yaghoob Jafari & Alexandr Nekhay & Roberto Roson, 2020. "Modeling Trade and Income Distribution in Six Developing Countries A dynamic general equilibrium analysis up to the year 2050," Working Papers 2020:03, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2020:03
    as

    Download full text from publisher

    File URL: http://www.unive.it/pag/fileadmin/user_upload/dipartimenti/economia/doc/Pubblicazioni_scientifiche/working_papers/2020/WP_DSE_britz_jafari_nekhay_roson_03_20.pdf
    File Function: First version, anno
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wen-Tai Hsu & Raymond G. Riezman & Ping Wang, 2019. "Innovation, Growth, and Dynamic Gains from Trade," NBER Working Papers 26470, National Bureau of Economic Research, Inc.
    2. Wolfgang Britz & Roberto Roson, 2019. "G-RDEM: A GTAP-Based Recursive Dynamic CGE Model for Long-Term Baseline Generation and Analysis," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(1), pages 50-96, June.
    3. Robert C. Feenstra, 1998. "Integration of Trade and Disintegration of Production in the Global Economy," Journal of Economic Perspectives, American Economic Association, vol. 12(4), pages 31-50, Fall.
    4. Tomasz Swiecki, 2017. "Determinants of Structural Change," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 95-131, March.
    5. Teguh Dartanto & Usman, 2011. "Volatility of World Soybean Prices, Import Tariffs and Poverty in Indonesia," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 5(2), pages 139-181, May.
    6. Ulrich K. Müller & James H. Stock & Mark W. Watson, 2019. "An Econometric Model of International Long-run Growth Dynamics," NBER Working Papers 26593, National Bureau of Economic Research, Inc.
    7. van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
    8. Shang-Jin Wei, 1996. "Intra-National versus International Trade: How Stubborn are Nations in Global Integration?," NBER Working Papers 5531, National Bureau of Economic Research, Inc.
    9. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    10. Wolfgang Britz & Dominique van der Mensbrugghe, 2018. "CGEBox: A Flexible, Modular and Extendable Framework for CGE Analysis in GAMS," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(2), pages 106-177, December.
    11. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    12. Cook, Paul & Uchida, Yuichiro, 2008. "Structural change, competition and income distribution," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 274-286, May.
    13. Gene M. Grossman & Elhanan Helpman, 2018. "Growth, Trade, and Inequality," Econometrica, Econometric Society, vol. 86(1), pages 37-83, January.
    14. 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.
    15. Ianchovichina,Elena & Walmsley,Terrie L. (ed.), 2012. "Dynamic Modeling and Applications for Global Economic Analysis," Cambridge Books, Cambridge University Press, number 9781107011694.
    16. Nabil Annabi & Fatou Cissé & John Cockburn & Bernard Decaluwé, 2005. "Trade Liberalisation, Growth and Poverty in Senegal: a Dynamic Microsimulation CGE Model Analysis," Cahiers de recherche 0512, CIRPEE.
    17. Estrades, Carmen, 2013. "Guide to microsimulations linked to CGE models: How to introduce analysis of poverty and income distribution in CGE-based studies," AGRODEP technical notes TN-09, International Food Policy Research Institute (IFPRI).
    18. L. ALAN WINTERS & NEIL McCULLOCH & ANDREW McKAY, 2015. "Trade Liberalization and Poverty: The Evidence So Far," World Scientific Book Chapters, in: Non-Tariff Barriers, Regionalism and Poverty Essays in Applied International Trade Analysis, chapter 14, pages 271-314, World Scientific Publishing Co. Pte. Ltd..
    19. Keeny, Roman & Hertel, Thomas, 2005. "GTAP-AGR: A Framework for Assessing the Implications of Multilateral Changes in Agricultural Policies," Technical Papers 283422, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    20. Nina Pavcnik, 2017. "The Impact of Trade on Inequality in Developing Countries," NBER Working Papers 23878, National Bureau of Economic Research, Inc.
    21. Ianchovichina,Elena & Walmsley,Terrie L. (ed.), 2012. "Dynamic Modeling and Applications for Global Economic Analysis," Cambridge Books, Cambridge University Press, number 9781107002432.
    22. McDougall, Robert & Alla Golub, 2007. "GTAP-E: A Revised Energy-Environmental Version of the GTAP Model," GTAP Research Memoranda 2959, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    23. Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
    24. Amelia U. Santos-Paulino, 2012. "Trade, Income Distribution And Poverty In Developing Countries: A Survey," UNCTAD Discussion Papers 207, United Nations Conference on Trade and Development.
    Full references (including those not matched with items on IDEAS)

    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. Britz, Wolfgang & Jafari, Yaghoob & Nekhay, Olexandr & Roson, Roberto, 2022. "Assessing inequality and poverty in long-term growth projections: A general equilibrium analysis for six developing countries," Economic Modelling, Elsevier, vol. 117(C).
    2. Wolfgang Britz & Roberto Roson & Martina Sartori, 2019. "SSP Long Run Scenarios for European NUTS2 Regions," Working Papers 2019: 22, Department of Economics, University of Venice "Ca' Foscari".
    3. Wolfgang Britz & Roberto Roson, 2018. "Exploring Long Run Structural Change with a Dynamic General Equilibrium Model," Working Papers 2018: 12, Department of Economics, University of Venice "Ca' Foscari".
    4. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.
    5. Walmsley, Terrie & Rose, Adam & John, Richard & Wei, Dan & Hlávka, Jakub P. & Machado, Juan & Byrd, Katie, 2023. "Macroeconomic consequences of the COVID-19 pandemic," Economic Modelling, Elsevier, vol. 120(C).
    6. Johnson, Justin Andrew & Baldos, Uris Lantz & Hertel, Thomas & Nootenboom, Chris & Polasky, Stephen & Roxburgh, Toby, 2020. "Global Futures: Modelling the global economic impacts of environmental change to support policy-making," Technical Papers 323944, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Wolfgang Britz & Roberto Roson, 2019. "G-RDEM: A GTAP-Based Recursive Dynamic CGE Model for Long-Term Baseline Generation and Analysis," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 4(1), pages 50-96, June.
    8. James A. Giesecke & Nhi H. Tran & Robert Waschik, 2021. "Should Australia be concerned by Beijing’s trade threats: modelling the economic costs of a restriction on imports of Australian coal," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 1-22, January.
    9. Alessandro Antimiani & Valeria Costantini & Anil Markandya & Chiara Martini & Alessandro Palma, 2014. "A dynamic CGE modelling approach for analyzing trade-offs in climate change policy options: the case of Green Climate Fund," Working Papers 2014-05, BC3.
    10. Narayanan, Badri G. & Taheripour, Farzad & Hertel, Thomas W. & Sahin, Sebnem & Escurra, Jorge J., 2015. "Water Scarcity in South Asia: A Dynamic Computable General Equilibrium Analysis," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205651, Agricultural and Applied Economics Association.
    11. Nugroho, Anda & Widyastutik, & Irawan, Tony & Amaliah, Syarifah, 2021. "Does the US–China trade war increase poverty in a developing country? A dynamic general equilibrium analysis for Indonesia," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 279-290.
    12. Aguiar, Angel & Corong, Erwin & van der Mensbrugghe, Dominique, 2020. "The GTAP Recursive Dynamic (GTAP-RD) Model: Version 1.0," Conference papers 333133, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. 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.
    14. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.
    15. Haddad, Salwa & Escobar, Neus & Bruckner, Martin & Britz, Wolfgang, 2019. "Global land use impacts from a subsidy on grassland-based ruminant livestock production in the European Union," Conference papers 333082, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Peter B. Dixon & Maureen Rimmer & Nhi Tran, 2019. "GTAP-MVH, A Model for Analysing the Worldwide Effects of Trade Policies in the Motor Vehicle Sector: Theory and Data," Centre of Policy Studies/IMPACT Centre Working Papers g-290, Victoria University, Centre of Policy Studies/IMPACT Centre.
    17. Yu, Wusheng & Hertel, Thomas W. & Preckel, Paul V. & Eales, James S., 2004. "Projecting world food demand using alternative demand systems," Economic Modelling, Elsevier, vol. 21(1), pages 99-129, January.
    18. Itakura, Ken, 2019. "Incorporating Global Value Chains into the Dynamic GTAP Model [tentative results]," Conference papers 333111, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    19. Britz, Wolfgang & Li, Jingwen & Shang, Linmei, 2021. "Combining large-scale sensitivity analysis in Computable General Equilibrium models with Machine Learning: An Example Application to policy supporting the bio-economy," Conference papers 333285, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    20. Jean Foure & Angel Aguiar & Ruben Bibas & Jean Chateau & Shinichiro Fujimori & Julien Lefevre & Marian Leimbach & Luis Rey-Los-Santos & Hugo Valin, 2020. "Macroeconomic Drivers of Baseline Scenarios in Dynamic CGE models: Review and Guidelines Proposal," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 28-62, June.

    More about this item

    Keywords

    Shared socioeconomic pathways; dynamic computable general equilibrium models; structural change; development scenarios; Albania; Bolivia; Ethiopia; Malawi; Nicaragua; Vietnam; income inequality; microsimulation; poverty;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

    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:ven:wpaper:2020:03. 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: Geraldine Ludbrook (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.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.