Arbeitspapier

How will global trade patterns evolve in the long run?

In this paper the evolution of global trade patterns until 2050 is projected with a recursive dynamic computable general equilibrium (CGE) model. Feeding the model with exogenous projections on macroeconomic, demographic, sectoral and trade cost variables, the evolution of trade patterns emerges endogenously from the model. The approach is innovative in both modelling approach and exogenous inputs. GDP growth emerges endogenously in the model because of diffusion of ideas as a result of international trade and trade cost changes are based on estimates of technology and trade policy changes. The projections indicate that (i) because of projected reductions in trade costs, trade will grow more than GDP, generating a global trade-toGDP growth rate of 1.1; (ii) because of structural change, the global share of manufacturing trade falls from 64% in 2020 to 52% by 2050, whereas the share of services trade rises substantially from 24% to 38%; (iii) because of technological catch-up, the share in global trade of both developing and least-developed countries (LDCs) will rise (with developing countries overtaking developed economies around 2035), the share of intra-developed country trade will fall, whereas the share of intra-developing country trade and those between developing and developed countries will rise.

Sprache
Englisch

Erschienen in
Series: WTO Staff Working Paper ; No. ERSD-2023-03

Klassifikation
Wirtschaft
Trade: Forecasting and Simulation
Computable and Other Applied General Equilibrium Models
Thema
Global trade patterns
long-run projections
dynamic CGE models

Ereignis
Geistige Schöpfung
(wer)
Bekkers, Eddy
Corong, Erwin L.
Métivier, Jeanne
Orlov, Daniil
Ereignis
Veröffentlichung
(wer)
World Trade Organization (WTO)
(wo)
Geneva
(wann)
2023

DOI
doi:10.30875/25189808-2023-3
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Bekkers, Eddy
  • Corong, Erwin L.
  • Métivier, Jeanne
  • Orlov, Daniil
  • World Trade Organization (WTO)

Entstanden

  • 2023

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