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THE INFLUENCE OF THE ELDERLY POPULATION ON ECONOMIC GROWTH IN CHINA

THE INFLUENCE OF THE ELDERLY POPULATION ON ECONOMIC GROWTH IN CHINA While most studies have shown that an aging population has a negative impact on economic growth, the potentially positive factor of a young elderly population may be neglected. The purpose of this study is to investigate the following two hypotheses: the young elderly population (aged from 60 to 69) with a strong academic background has a positive impact on the economy in China, and the elderly population has a negative impact on the economy in China. Official provincial-level panel data from 1996 to 2016 for 29 provinces are utilized in fixed-effects models with and without controlling for heteroskedasticity and cross-sectional dependence, as well as in DIFF-GMM and SYS-GMM models in the dynamic panel regression estimation. The primary finding of this study is that young elderly people with a strong educational background can positively affect China’s economic growth and can partly alleviate the negative effect of the overall elderly population. This conclusion is quite robust regardless of which econometric method is adopted. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Singapore Economic Review World Scientific Publishing Company

THE INFLUENCE OF THE ELDERLY POPULATION ON ECONOMIC GROWTH IN CHINA

The Singapore Economic Review , Volume 66 (06): 17 – Dec 27, 2021

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Publisher
World Scientific Publishing Company
ISSN
0217-5908
eISSN
1793-6837
DOI
10.1142/S0217590818420080
Publisher site
See Article on Publisher Site

Abstract

While most studies have shown that an aging population has a negative impact on economic growth, the potentially positive factor of a young elderly population may be neglected. The purpose of this study is to investigate the following two hypotheses: the young elderly population (aged from 60 to 69) with a strong academic background has a positive impact on the economy in China, and the elderly population has a negative impact on the economy in China. Official provincial-level panel data from 1996 to 2016 for 29 provinces are utilized in fixed-effects models with and without controlling for heteroskedasticity and cross-sectional dependence, as well as in DIFF-GMM and SYS-GMM models in the dynamic panel regression estimation. The primary finding of this study is that young elderly people with a strong educational background can positively affect China’s economic growth and can partly alleviate the negative effect of the overall elderly population. This conclusion is quite robust regardless of which econometric method is adopted.

Journal

The Singapore Economic ReviewWorld Scientific Publishing Company

Published: Dec 27, 2021

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