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The Influence of Aging on Technological Innovation： Empirical Evidence from China
Using panel data from 30 Chinese provinces for the period between 2003 and 2017, this paper explores the relationship between the aging and technological innovation. The global principal components analysis is used to construct the index system of technological innovation from three aspects: innovation input, innovation output and innovation diffusion. Then, the inverted U-shape relationship between population aging and technological innovation is obtained from the dynamic perspective by using two-step system generalized method of moments (SYS-GMM). The influence of population aging on technological innovation is firstly promoted and then suppressed. In addition, the degree of opening up, the level of economic development, the construction of network infrastructure and human capital all have positive impact on technological innovation.
Aging, Inverted U-Shape, System GMM, Technological Innovation.
- Liu C & Xia G J, Research on the dynamic interrelationship among R&D investment, technological innovation, and economic growth in China, Sustainability 10(11) (2018).
- Penalver A J B, Santos J A C, Conesa J A B & Santos M C, Innovation management and strategy, J Sci Ind Res, 77(8) (2018) 437–441.
- Verhaeghen P & Salthouse T A, Meta-analyses of agecognition relations in adulthood: estimates of linear and nonlinear age effects and structural models, Psychol Bull, 122(3) (1997) 231–249.
- Jones B F, Age and great invention, Rev Econ Stat, 92(1) (2010) 1–14.
- Gonzalez-Eiras M & Niepelt D, Ageing, government budgets, retirement, and growth, Eur Econ Rev, 56(1) (2012) 97–115.
- Acemoglu D & Restrepo P, Secular stagnation? The effect of aging on economic growth in the age of automation, Am Econ Rev, 107(5) (2017) 174–179.
- Arellano M & Bond S, Some tests of specification for panel data: monte carlo evidence and an application to employment equations, Rev Econ Stud, 58(2) (1991) 277–297.
- Blundell R & Bond S, Initial conditions and moment restrictions in dynamic panel data models, J Econom, 87(1) (1998) 115–143.
- Roodman D, How to do Xtabond 2: An introduction to difference and system GMM in Stata, Stata J, 9(1) (2009) 86–136.
- Cruz M & Ahmed S A, On the impact of demographic change on economic growth and poverty, World Dev, 105 (2018) 95–106.
- Schneider P H, International trade, economic growth and intellectual property rights: A panel data study of developed and developing countries, J De Econ, 78(2) (2005) 529–547.
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