Why some countries are slow in acquiring new technologies? A model of trade-led diffusion and absorption
Drawing on the stylized facts and evidences, in a computable general equilibrium (CGE) model, this paper examines the impact on TFP of North–South, North–North trade-related triangular R&D spillovers. By constructing different technology appropriation parameters based on embodied and disembodied...
| Veröffentlicht in: | 369 EGFR SIGNALING IMPAIRS THE ANTIVIRAL ACTIVITY OF INTERFERON-ALPHA. - 2013 JPMOD : a social science forum of world issues. - Amsterdam [u.a.] |
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| 1. Verfasser: | |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2015transfer abstract
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| Zugriff auf das übergeordnete Werk: | 369 EGFR SIGNALING IMPAIRS THE ANTIVIRAL ACTIVITY OF INTERFERON-ALPHA |
| Schlagworte: | F43 D58 J24 O33 O43 |
| Umfang: | 27 |
| Zusammenfassung: | Drawing on the stylized facts and evidences, in a computable general equilibrium (CGE) model, this paper examines the impact on TFP of North–South, North–North trade-related triangular R&D spillovers. By constructing different technology appropriation parameters based on embodied and disembodied R&D, absorption and learning effects, it shows: (i) North–South R&D flows have a positive impact on TFP; (ii) human capital-induced skill facilitates North–South R&D flows; (iii) socio-institutional and technology adoption parameters do play roles for knowledge flows, its capture, and transmission. Such technology diffusion and assimilation counters the adverse impact of North–South geographical distance on productivity dynamics. Drawing on the stylized facts and evidences, in a computable general equilibrium (CGE) model, this paper examines the impact on TFP of North–South, North–North trade-related triangular R&D spillovers. By constructing different technology appropriation parameters based on embodied and disembodied R&D, absorption and learning effects, it shows: (i) North–South R&D flows have a positive impact on TFP; (ii) human capital-induced skill facilitates North–South R&D flows; (iii) socio-institutional and technology adoption parameters do play roles for knowledge flows, its capture, and transmission. Such technology diffusion and assimilation counters the adverse impact of North–South geographical distance on productivity dynamics. |
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| Beschreibung: | 27 |
| DOI: | 10.1016/j.jpolmod.2015.01.001 |