Artikel
Japan's productivity and GDP growth: The role of private, public and foreign R&D 1967-2017
We analyze the dynamic interaction of Japan's total factor productivity, gross domestic product (GDP) domestic and foreign private and public research and development (R&D) in vector-error-correction models (VECMs) for Japan with data from 1963-2017. Extensive testing leads to favoring a model with five cointegrating equations for the six variables. Analysis of effects of permanent policy changes shows that (i) additional public R&D encourages private R&D and total factor productivity (TFP), and has higher internal rates of return than private R&D changes and therefore could speed up Japan's growth; (ii) public R&D changes have a statistically significant positive permanent effect on foreign private R&D stocks and a transitional effect on foreign public R&D stocks; (iii) private R&D changes have a statistically significant positive permanent effect on foreign public R&D stocks and a transitional effect on foreign private R&D stocks; (iv) after a temporary GDP change, public R&D is counter-cyclical in the short and medium run and private R&D is pro-cyclical. Empirical results are related to the parameters of a VES (variable elasticity of substitution) function for TFP production.
- Language
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Englisch
- Bibliographic citation
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Journal: Economies ; ISSN: 2227-7099 ; Volume: 8 ; Year: 2020 ; Issue: 4 ; Pages: 1-25 ; Basel: MDPI
- Classification
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Wirtschaft
Economic Growth of Open Economies
International Linkages to Development; Role of International Organizations
Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
Economywide Country Studies: Asia including Middle East
- Subject
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public and private R&D
productivity
growth
spillovers
vector-auto-regression/error-correction (VAR/VECM)
- Event
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Geistige Schöpfung
- (who)
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Ziesemer, Thomas
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2020
- DOI
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doi:10.3390/economies8040077
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
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Object type
- Artikel
Associated
- Ziesemer, Thomas
- MDPI
Time of origin
- 2020