Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 26, 2024


Pages


DOI

Article

How Family Wealth Affects Fertility Intentions: the Roles of Social Media Exposure and Subjective Class Identification

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Authors

Qing Xia Affiliation:
School of Economics and Management, Communication University of China, Beijing, 100024, China.
and Shun Yao Affiliation:
School of Economics and Management, Communication University of China, Beijing, 100024, China.


Abstract

Demographic dividend is an important driving force for sustainable economic development in developing countries. In recent years, the Chinese government has introduced a series of policies to encourage fertility, but the fertility rate still continues to decrease, which is likely to have a negative impact on China’s economic development. This study proposes a influencing mechanism model of the fertility intentions of the Chinese population from the perspectives of political economics and social psychology, and validates the model through a national sample survey. It is found that family wealth indirectly and positively affects fertility intentions through Chinese people’s subjective class identification; and social media exposure negatively moderates the relationship between family wealth and subjective class identification. This mechanism provides a theoretical explanation for the current special changes in fertility intentions to a certain extent, and also provides a practical basis for policy makers and media regulators to take measures to stimulate Chinese people’s fertility intentions.


Keywords

Fertility intention, Family wealth, Subjective class identification, Social media exposure, 91B74


Citation

Xia, Q. & Yao, S. (2024). How family wealth affects fertility intentions: The roles of social media exposure and subjective class identification. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0341

Published by: Engineering Journals

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