Population aging, technological innovation and industrial differentiation
As China’s aging population deepens and its pace accelerates, it is particularly crucial to rely on technological innovation to drive industrial differentiation. Is there a connection between population aging, technological innovation, and industrial differentiation? Does technological innovation ha...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1502713/full |
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| author | Chunhua Li Chunhua Li Zhangqing Chen Wangchun Wu Bin Gao Lingfeng Zou |
| author_facet | Chunhua Li Chunhua Li Zhangqing Chen Wangchun Wu Bin Gao Lingfeng Zou |
| author_sort | Chunhua Li |
| collection | DOAJ |
| description | As China’s aging population deepens and its pace accelerates, it is particularly crucial to rely on technological innovation to drive industrial differentiation. Is there a connection between population aging, technological innovation, and industrial differentiation? Does technological innovation have a moderating effect? Based on the panel data of 31 provinces in China from 2006 to 2022, this paper constructs the entropy index to measure the overall industrial differentiation and tertiary industrial differentiation in China, and subsequently investigates the relationship among the three using the two-way fixed effect model. The results indicate that population aging has a significant positive impact on the overall industrial differentiation in China, with a regression coefficient of 1.1025. Technological innovation plays a positive moderating role, with an interaction coefficient of 0.3489. The effects of population aging on the differentiation of the three industries differ: the regression coefficient for the primary industry is −0.6437, which is significantly negative; for the secondary industry, the regression coefficient is 0.9252, which is statistically insignificant; and for the tertiary industry, the regression coefficient is 0.1539, which is significantly positive. The government should encourage enterprises to invest in technology research and development through tax cuts and subsidies, and enterprises should absorb high-quality talents, carry out intelligent transformation of traditional industries of enterprises, and improve their competitiveness. |
| format | Article |
| id | doaj-art-aabd7bff42a24f5f99f0495001c929b8 |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-aabd7bff42a24f5f99f0495001c929b82025-01-27T05:14:37ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-01-011310.3389/fpubh.2025.15027131502713Population aging, technological innovation and industrial differentiationChunhua Li0Chunhua Li1Zhangqing Chen2Wangchun Wu3Bin Gao4Lingfeng Zou5School of Economics, Guangxi University for Nationalities, Nanning, ChinaDigital Economy and Population Development Research Center, Guangxi University for Nationalities, Nanning, ChinaSchool of Economics, Guangxi University for Nationalities, Nanning, ChinaSchool of Economics, Guangxi University for Nationalities, Nanning, ChinaSchool of Economics, Guangxi University for Nationalities, Nanning, ChinaSchool of Economics, Guangxi University for Nationalities, Nanning, ChinaAs China’s aging population deepens and its pace accelerates, it is particularly crucial to rely on technological innovation to drive industrial differentiation. Is there a connection between population aging, technological innovation, and industrial differentiation? Does technological innovation have a moderating effect? Based on the panel data of 31 provinces in China from 2006 to 2022, this paper constructs the entropy index to measure the overall industrial differentiation and tertiary industrial differentiation in China, and subsequently investigates the relationship among the three using the two-way fixed effect model. The results indicate that population aging has a significant positive impact on the overall industrial differentiation in China, with a regression coefficient of 1.1025. Technological innovation plays a positive moderating role, with an interaction coefficient of 0.3489. The effects of population aging on the differentiation of the three industries differ: the regression coefficient for the primary industry is −0.6437, which is significantly negative; for the secondary industry, the regression coefficient is 0.9252, which is statistically insignificant; and for the tertiary industry, the regression coefficient is 0.1539, which is significantly positive. The government should encourage enterprises to invest in technology research and development through tax cuts and subsidies, and enterprises should absorb high-quality talents, carry out intelligent transformation of traditional industries of enterprises, and improve their competitiveness.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1502713/fulltechnological innovationindustrial differentiationmoderating effectindustrializationinter-regional differences |
| spellingShingle | Chunhua Li Chunhua Li Zhangqing Chen Wangchun Wu Bin Gao Lingfeng Zou Population aging, technological innovation and industrial differentiation Frontiers in Public Health technological innovation industrial differentiation moderating effect industrialization inter-regional differences |
| title | Population aging, technological innovation and industrial differentiation |
| title_full | Population aging, technological innovation and industrial differentiation |
| title_fullStr | Population aging, technological innovation and industrial differentiation |
| title_full_unstemmed | Population aging, technological innovation and industrial differentiation |
| title_short | Population aging, technological innovation and industrial differentiation |
| title_sort | population aging technological innovation and industrial differentiation |
| topic | technological innovation industrial differentiation moderating effect industrialization inter-regional differences |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1502713/full |
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