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Exploring Long Run Structural Change with a Dynamic General Equilibrium Model

Author

Listed:
  • Wolfgang Britz

    () (Institute for Food and Resource Economics, University of Bonn)

  • Roberto Roson

    () (Department of Economics, University Of Venice Cà Foscari; IEFE Bocconi University)

Abstract

In this paper we present a computable general equilibrium model (G-RDEM), specifically designed for the generation of long run scenarios of economic development, featuring a non-homothetic demand system, endogenous saving rates, differentiated industrial productivity growth, interest payments on foreign debt and time-varying input-output coefficients. To the best of our knowledge, this is the first model of this kind. We illustrate how parameters of the five modules of structural change have been estimated, and we test the model by comparing its results with those obtained by a more conventional recursive dynamic CGE model. Both models are driven by the same GDP and population data, exogenously provided by the IPCC Shared Socio-economic Pathway 3. GDP levels determine the endogenous productivity parameters. Population affects the definition of per capita income, which in turn affects the household demand system and the variation of input-output coefficients. Information on the demographic structure is also employed to modify the aggregate saving rate parameters. It is found that the two models do produce different findings, both globally and at the regional and industrial level. Understanding the origins of such differences sheds some light on how mechanisms of structural change operate in the long run.

Suggested Citation

  • 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".
  • Handle: RePEc:ven:wpaper:2018:12
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    References listed on IDEAS

    as
    1. Kiminori Matsuyama, 2002. "The Rise of Mass Consumption Societies," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 1035-1070, October.
    2. Fagerberg, Jan, 2000. "Technological progress, structural change and productivity growth: a comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 393-411, December.
    3. Margarida Duarte & Diego Restuccia, 2010. "The Role of the Structural Transformation in Aggregate Productivity," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 129-173.
    4. Fulvio Castellacci & Bart Los & Gaaitzen Vries, 2014. "Sectoral productivity trends: convergence islands in oceans of non-convergence," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 983-1007, November.
    5. Ana Cecília Fieler, 2011. "Nonhomotheticity and Bilateral Trade: Evidence and a Quantitative Explanation," Econometrica, Econometric Society, vol. 79(4), pages 1069-1101, July.
    6. Skolka, Jiri, 1989. "Input-output structural decomposition analysis for Austria," Journal of Policy Modeling, Elsevier, vol. 11(1), pages 45-66.
    7. Dani Rodrik, 2016. "Premature deindustrialization," Journal of Economic Growth, Springer, vol. 21(1), pages 1-33, March.
    8. Tomasz Swiecki, 2017. "Determinants of Structural Change," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 95-131, March.
    9. Ianchovichina,Elena & Walmsley,Terrie L. (ed.), 2012. "Dynamic Modeling and Applications for Global Economic Analysis," Cambridge Books, Cambridge University Press, number 9781107011694, October.
    10. Matsuyama, Kiminori, 2017. "Engel's Law in the Global Economy: Demand-induced Patterns of Structural Change, Innovation, and Trade," CEPR Discussion Papers 12387, C.E.P.R. Discussion Papers.
    11. Casler, Stephen D. & Afrasiabi, Ahmad & McCauley, Michael, 1991. "Decomposing change in energy input-output coefficients," Resources and Energy, Elsevier, vol. 13(1), pages 95-109, April.
    12. Brockmeier, Martina, 2001. "A Graphical Exposition Of The Gtap Model," Technical Papers 28706, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Ianchovichina,Elena & Walmsley,Terrie L. (ed.), 2012. "Dynamic Modeling and Applications for Global Economic Analysis," Cambridge Books, Cambridge University Press, number 9781107002432, October.
    14. Teixeira, Aurora A.C. & Queirós, Anabela S.S., 2016. "Economic growth, human capital and structural change: A dynamic panel data analysis," Research Policy, Elsevier, vol. 45(8), pages 1636-1648.
    15. Hertel, Thomas W. & Swaminathan, Padma V., 1996. "Introducing Monopolistic Competition Into The Gtap Model," Technical Papers 28704, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    16. Kirsanova, Tatiana & Sefton, James, 2007. "A comparison of national saving rates in the UK, US and Italy," European Economic Review, Elsevier, vol. 51(8), pages 1998-2028, November.
    17. McGilvray, James & Simpson, David, 1969. "Some Tests of Stability in Interindustry Coefficients," Econometrica, Econometric Society, vol. 37(2), pages 204-221, April.
    18. Francisco J. Buera & Joseph P. Kaboski & Richard Rogerson, 2015. "Skill Biased Structural Change," NBER Working Papers 21165, National Bureau of Economic Research, Inc.
    19. Justin Caron & Thibault Fally & James R. Markusen, 2014. "International Trade Puzzles: A Solution Linking Production and Preferences," The Quarterly Journal of Economics, Oxford University Press, vol. 129(3), pages 1501-1552.
    20. Francois, Joseph, 1998. "Scale Economies and Imperfect Competition in the GTAP Model," GTAP Technical Papers 317, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    21. Harberger, Arnold C, 1998. "A Vision of the Growth Process," American Economic Review, American Economic Association, vol. 88(1), pages 1-32, March.
    22. Norman Loayza & Klaus Schmidt-Hebbel & Luis Servén, 2000. "What Drives Private Saving Across the World?," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 165-181, May.
    23. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    24. 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.
    25. Loayza, Norman & Schmidt-Hebbel, Klaus & Serven, Luis, 2000. "What drives private saving around the world?," Policy Research Working Paper Series 2309, The World Bank.
    26. Wolfgang Britz & Roberto Roson, 2018. "G-RDEM: A GTAP-based recursive dynamic CGE model for long-term baseline generation and analysis," Working Papers 2018: 11, Department of Economics, University of Venice "Ca' Foscari".
    27. Kokila Doshi, 1994. "Determinants Of The Saving Rate: An International Comparison," Contemporary Economic Policy, Western Economic Association International, vol. 12(1), pages 37-45, January.
    28. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    29. Roberto Roson, 2006. "Introducing Imperfect Competition in CGE Models: Technical Aspects and Implications," Computational Economics, Springer;Society for Computational Economics, vol. 28(1), pages 29-49, August.
    30. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    31. Chen, Shiyi & Jefferson, Gary H. & Zhang, Jun, 2011. "Structural change, productivity growth and industrial transformation in China," China Economic Review, Elsevier, vol. 22(1), pages 133-150, March.
    32. Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
    33. Jack E. Triplett & Barry P. Bosworth, 2003. "Productivity measurement issues in services industries: "Baumol's disease" has been cured," Economic Policy Review, Federal Reserve Bank of New York, issue Sep, pages 23-33.
    34. Zeynep Akgul & Nelson B Villoria & Thomas W Hertel, 2016. "GTAP-HET: Introducing Firm Heterogeneity into the GTAP Model," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 111-180, June.
    35. Roson, Roberto, 2006. "Introducing Imperfect Competition in CGE Models: Technical Aspects and Implications," Climate Change Modelling and Policy Working Papers 12061, Fondazione Eni Enrico Mattei (FEEM).
    36. Bruce E. Hansen, 2001. "The New Econometrics of Structural Change: Dating Breaks in U.S. Labour Productivity," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 117-128, Fall.
    37. Calzadilla, Alvaro & Rehdanz, Katrin & Tol, Richard S.J., 2011. "The GTAP-W model: Accounting for water use in agriculture," Kiel Working Papers 1745, Kiel Institute for the World Economy (IfW).
    38. Detlef Vuuren & Elmar Kriegler & Brian O’Neill & Kristie Ebi & Keywan Riahi & Timothy Carter & Jae Edmonds & Stephane Hallegatte & Tom Kram & Ritu Mathur & Harald Winkler, 2014. "A new scenario framework for Climate Change Research: scenario matrix architecture," Climatic Change, Springer, vol. 122(3), pages 373-386, February.
    39. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    40. Richard Rogerson & Joseph Kaboski & Francisco Buera, 2015. "Skill-Biased Structural Change and the Skill Premium," 2015 Meeting Papers 895, Society for Economic Dynamics.
    41. Masson, Paul R & Bayoumi, Tamim & Samiei, Hossein, 1998. "International Evidence on the Determinants of Private Saving," World Bank Economic Review, World Bank Group, vol. 12(3), pages 483-501, September.
    42. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-1238, December.
    43. Baumol, William J, 1986. "Productivity Growth, Convergence, and Welfare: What the Long-run Data Show," American Economic Review, American Economic Association, vol. 76(5), pages 1072-1085, December.
    44. Peterson, Everett, 2006. "GTAP-M: A GTAP Model and Data Base that Incorporates Domestic Margins," GTAP Technical Papers 2200, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    45. Alwyn Young, 2014. "Structural Transformation, the Mismeasurement of Productivity Growth, and the Cost Disease of Services," American Economic Review, American Economic Association, vol. 104(11), pages 3635-3667, November.
    46. repec:gta:jnlgea:v:2:y:2017:i:1:p:1-119 is not listed on IDEAS
    47. Kristie Ebi & Stephane Hallegatte & Tom Kram & Nigel Arnell & Timothy Carter & Jae Edmonds & Elmar Kriegler & Ritu Mathur & Brian O’Neill & Keywan Riahi & Harald Winkler & Detlef Vuuren & Timm Zwickel, 2014. "A new scenario framework for climate change research: background, process, and future directions," Climatic Change, Springer, vol. 122(3), pages 363-372, February.
    48. Young, Alwyn, 2014. "Structural transformation, the mismeasurement of productivity growth, and the cost disease of services," LSE Research Online Documents on Economics 60213, London School of Economics and Political Science, LSE Library.
    49. Francois, Joseph F., 1998. "Scale Economies And Imperfect Competition In The Gtap Model," Technical Papers 28718, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    50. Haraguchi, Nobuya & Cheng, Charles Fang Chin & Smeets, Eveline, 2017. "The Importance of Manufacturing in Economic Development: Has This Changed?," World Development, Elsevier, vol. 93(C), pages 293-315.
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    More about this item

    Keywords

    Computable General Equilibrium models; Long-run economic scenarios; Structural change;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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