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Nonlinearities in Productivity Growth: A Semi-parametric Panel Analysis
- Source :
- Structural Change and Economic Dynamics, Structural Change and Economic Dynamics, Elsevier, 2013, 24, pp.45-75, Structural Change and Economic Dynamics, 2013, 24, pp.45-75, Structural Change and Economic Dynamics, 24, 45-75. Elsevier
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
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.
- Subjects :
- Economics and Econometrics
JEL: C - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General/C.C1.C14 - Semiparametric and Nonparametric Methods: General
JEL: O - Economic Development, Innovation, Technological Change, and Growth/O.O3 - Innovation • Research and Development • Technological Change • Intellectual Property Rights
Multifactor productivity
01 natural sciences
Human capital
Solow residual
010104 statistics & probability
TFP
jel:I23
jel:O40
0502 economics and business
Economics
Econometrics
050207 economics
0101 mathematics
JEL: O - Economic Development, Innovation, Technological Change, and Growth/O.O4 - Economic Growth and Aggregate Productivity
[SHS.ECO] Humanities and Social Sciences/Economics and Finance
Productivity
Total factor productivity
Panel data
Government spending
Public economics
R&D
05 social sciences
1. No poverty
JEL: I - Health, Education, and Welfare/I.I2 - Education and Research Institutions/I.I2.I23 - Higher Education • Research Institutions
[SHS.ECO]Humanities and Social Sciences/Economics and Finance
Quantitative Biology::Genomics
jel:C14
Reduced vs. structural form
jel:O31
Panel analysis
network formation, strategic alliances, innovation, network strategy, interfirm networks
8. Economic growth
Nonparametric estimation
Subjects
Details
- Language :
- French
- ISSN :
- 0954349X
- Database :
- OpenAIRE
- Journal :
- Structural Change and Economic Dynamics, Structural Change and Economic Dynamics, Elsevier, 2013, 24, pp.45-75, Structural Change and Economic Dynamics, 2013, 24, pp.45-75, Structural Change and Economic Dynamics, 24, 45-75. Elsevier
- Accession number :
- edsair.doi.dedup.....0a41c52aa57aa6e95f8bfaccd4529e76