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On using dynamic IO models with layers of techniques to measure value added in global value chains

Henryk Gurgul () and Łukasz Lach ()

Structural Change and Economic Dynamics, 2018, vol. 47, issue C, 155-170

Abstract: We propose a new approach to forecasting the future paths of value-added-related indexes in the framework of global value chains (GVCs) in a global input-output model. The proposed methodology may be applied to different groups of counties and sectors in a global IO framework under various scenarios regarding technological progress. In an illustrative empirical case study, we focus on four groups of economies and seven groups of sectors. The preliminary results suggest that the East Asian economies, AUNAFTA, and the EU countries are expected to improve the efficiency in building their comparative advantage within the GVC framework, while the largest developing economies are not.

Keywords: Endogenous dynamics; World input-output data; Global value chains (search for similar items in EconPapers)
JEL-codes: C53 D57 (search for similar items in EconPapers)
Date: 2018
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Structural Change and Economic Dynamics is currently edited by F. Duchin, H. Hagemann, M. Landesmann, R. Scazzieri, A. Steenge and B. Verspagen

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