| Titre : | Nonlinearities in Productivity Growth: A Semi-parametric Panel Analysis (2013) |
| Auteurs : | Theophile Azomahou ; Bity Diene ; Mbaye Diene |
| Type de document : | Article : Revues - Articles |
| Dans : | Structural Change and Economic Dynamics (vol.24 , 2013) |
| Article en page(s) : | pp 45-75 |
| Langues: | Français |
| Catégories : | |
| Tags : | R&D ; TFP ; Panel data ; Nonparametric estimation ; Reduced vs. structural form |
| Résumé : | We use country panel data spanning over 1998-2008 for both developed and developing countries to study the productivity growth when countries are close to the technology frontier. Relying on a semi-parametric generalized additive model, we estimate both reduced and structural forms for total factor productivity growth. We consider three measurements of frontier: the economy with the highest level of productivity growth, the world productivity growth and the productivity growth of the USA. We obtain a U-shape relation between productivity growth and the proximity to the world productivity growth. The relation between productivity growth and human capital displays an inverted U-shape form (res. U-shape) when the proximity to the highest productivity growth is used (res. the proximity to productivity growth of the USA). Total staff in R&D has an inverted W-shape effect on productivity growth. The share of R&D expenditure funded by government and from abroad impact positively the growth of productivity. However, the increase in government spending on R&D has a greater impact on productivity growth when the former is weak, and a smaller impact when R&D spending is already high. International trade has a positive effect on productivity growth. Specification tests show that our semi-parametric models provide a better approximation of the data compared to the parametric analogue, revealing a high degree of nonlinearity governing productivity growth. |
| En ligne : | https://halshs.archives-ouvertes.fr/halshs-00914557 |
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