Nonlinearities in productivity growth: A semi-parametric panel analysis
Théophile T. Azomahou,
Bity Diene and
Mbaye Diene
Structural Change and Economic Dynamics, 2013, vol. 24, issue C, 45-75
Abstract:
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.
Keywords: R&D; TFP; Panel data; Nonparametric estimation; Reduced vs. structural form (search for similar items in EconPapers)
JEL-codes: C14 I23 O3 O4 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0954349X12000355
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:streco:v:24:y:2013:i:c:p:45-75
DOI: 10.1016/j.strueco.2012.05.001
Access Statistics for this article
Structural Change and Economic Dynamics is currently edited by F. Duchin, H. Hagemann, M. Landesmann, R. Scazzieri, A. Steenge and B. Verspagen
More articles in Structural Change and Economic Dynamics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().