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Published on: January 26, 2024
Population aging, technological innovation and industrial differentiation
Chunhua Li1,2, Zhangqing Chen1, Wangchun Wu1
1School of Economics, Guangxi University for Nationalities, Nanning, China.
China's aging population drives industrial differentiation, with technological innovation playing a key moderating role. This study analyzes the impact of population aging and innovation on industry structure using provincial data.
Area of Science:
- Economics
- Demography
- Innovation Studies
Background:
- China faces an accelerating aging population, necessitating technological innovation for industrial development.
- Understanding the interplay between demographic shifts, technological advancement, and economic structure is critical.
Purpose of the Study:
- To investigate the relationship between population aging, technological innovation, and industrial differentiation in China.
- To examine the moderating effect of technological innovation on the population aging-industrial differentiation nexus.
Main Methods:
- Utilized panel data from 31 Chinese provinces spanning 2006-2022.
- Constructed entropy indices to measure overall and tertiary industrial differentiation.
- Employed a two-way fixed effects model to analyze the relationships.
Main Results:
- Population aging significantly positively impacts overall industrial differentiation (coefficient=1.1025).
- Technological innovation demonstrates a significant positive moderating effect (interaction coefficient=0.3489).
- Population aging negatively affects the primary industry (coefficient=-0.6437) and positively affects the tertiary industry (coefficient=0.1539), with an insignificant effect on the secondary industry.
Conclusions:
- Population aging is a key driver of industrial differentiation in China.
- Technological innovation is crucial for navigating the economic adjustments associated with an aging population.
- Policy recommendations include incentivizing R&D, talent acquisition, and intelligent transformation of industries.
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