 Explaining Economic Growth in China – New Time Series and Econometric Tests of Various ModelsRémy Herrera, Zhiming Long and Weili Ding Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL Abstract: Supported by new statistical series on stocks of physical capital and of human capital constructed for this work, this article tries to improve the explanation of China's long-term economic growth. It begins by presenting the original databases that will be used later, emphasizing the construction methods of our different stocks of physical capital and of human capital for China from 1952 to 2012. Then, it offers econometric estimates made in the framework of a broad range of theoretical models, going from standard or augmented Solowian specifications to more or less sophisticated linearized formalizations of endogenous growth, with research and development (R&D) indicators. We find that the productive stocks of physical capital and of human capital, as well as R&D, positively and significantly contribute to Chinese GDP growth. Date: 2020 Published in Journal of Innovation Economics & Management, 2020, 3 (33), pp.195-228. ⟨10.3917/jie.033.0195⟩ There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:hal-03233243 DOI: 10.3917/jie.033.0195 Access Statistics for this paper More papers in Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL |
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