Study On the Fertility Intention of Residents in Guangxi Province Under the Three-Child Policy
DOI:
https://doi.org/10.54097/ehss.v9i.6381Keywords:
Fertility intention, influencing factors, neural network model, decision tree.Abstract
In 2022, a series of supporting policies of "three children" were determined in the NPC and CPPCC. Based on the reality of declining birth rate in successive years, Guangxi actively responded to the call and issued relevant supporting measures for three children. However, it remains to be seen whether these measures can really stimulate people's desire to have children, given the enormous pressure to do so. Therefore, this project intends to conduct online questionnaire survey and offline field survey in urban and rural areas after the introduction of supporting measures on the change of the three-child fertility intention of the child-bearing age group in Guangxi and its influencing factors. By climbing the key words to design the questionnaire, descriptive analysis of the data is conducted. Besides, neural network and decision tree are used to analyze the influencing factors of fertility. It also gives the countermeasures and suggestions under the three-child policy in order to provide the scientific basis for the relevant departments to formulate the fertility policy.
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