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Regional impact of aging population on economic development in China: Evidence from panel threshold regression (PTR).中国人口老龄化对经济发展的区域性影响:基于面板门限回归(PTR)的证据。
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引用本文的文献

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Regional impact of aging population on carbon dioxide emissions in China: Evidence from panel threshold regression (PTR).中国人口老龄化对二氧化碳排放的区域影响:面板门限回归(PTR)的证据。
PLoS One. 2023 Sep 14;18(9):e0290582. doi: 10.1371/journal.pone.0290582. eCollection 2023.

本文引用的文献

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The economic value of targeting aging.靶向衰老的经济价值。
Nat Aging. 2021 Jul;1(7):616-623. doi: 10.1038/s43587-021-00080-0. Epub 2021 Jul 5.
2
Natural resources, population aging, and environmental quality: analyzing the role of green technologies.自然资源、人口老龄化与环境质量:绿色技术的作用分析。
Environ Sci Pollut Res Int. 2022 Jul;29(31):46665-46679. doi: 10.1007/s11356-022-19219-6. Epub 2022 Feb 16.
3
Population Aging, Health Investment and Economic Growth: Based on a Cross-Country Panel Data Analysis.人口老龄化、健康投资与经济增长:基于跨国面板数据的分析。
Int J Environ Res Public Health. 2021 Feb 12;18(4):1801. doi: 10.3390/ijerph18041801.
4
Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study.2017 年至 2100 年 195 个国家和地区的生育率、死亡率、迁移和人口预测情景:全球疾病负担研究的预测分析。
Lancet. 2020 Oct 17;396(10258):1285-1306. doi: 10.1016/S0140-6736(20)30677-2. Epub 2020 Jul 14.
5
Population aging and endogenous economic growth.人口老龄化与内生经济增长。
J Popul Econ. 2013 Apr;26(2):811-834. doi: 10.1007/s00148-012-0441-9. Epub 2012 Sep 15.

中国人口老龄化对经济发展的区域性影响:基于面板门限回归(PTR)的证据。

Regional impact of aging population on economic development in China: Evidence from panel threshold regression (PTR).

机构信息

School of Business and Economics, Universiti Putra Malaysia, Selangor, Malaysia.

School of Economics, University of Bristol, Bristol, United Kingdom.

出版信息

PLoS One. 2023 Mar 14;18(3):e0282913. doi: 10.1371/journal.pone.0282913. eCollection 2023.

DOI:10.1371/journal.pone.0282913
PMID:36917591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10013891/
Abstract

The aging population is a common problem faced by most countries in the world. This study uses 18 years (from 2002 to 2019) of panel data from 31 regions in China (excluding Hong Kong, Macao, and Taiwan Province), and establishes a panel threshold regression model to study the non-linear impact of the aging population on economic development. It is different from traditional research in that this paper divides 31 regions in China into three regions: Eastern, Central, and Western according to the classification standard of the National Bureau of Statistics of China and compares the different impacts of the aging population on economic development in the three regions. Although this study finds that the aging population promotes the economy of China's eastern, central, and western regions, different threshold variables have dramatically different influences. When the sum of export and import is the threshold variable, the impact of the aging population on the eastern and the central region of China is significantly larger than that of the western region of China. However, when the unemployment rate is the threshold variable, the impact of the aging population on the western region of China is dramatically higher than the other regions' impact. Thus, one of the contributions of this study is that if the local government wants to increase the positive impact of the aging population on the per capita GDP of China, the local governments of different regions should advocate more policies that align with their economic situation rather than always emulating policies from other regions.

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