I. Introduction
A. Background and significance of the three-child policy in China
B. Purpose of the report
C. Overview of the methodology (questionnaire survey and regression analysis)
II. Literature Review
A. Overview of existing research on fertility intentions and economic factors
B. Discussion of relevant studies on the impact of economic factors on fertility intentions in China
C. Identification of research gaps and rationale for the present study
3. Research question and hypothesis （从outline复制粘贴）
III. Methodology
A. Description of the questionnaire survey design
1. Sample selection and size
2. Data collection process
3. Variables included in the questionnaire (including economic factors and fertility intentions)
B. Overview of the regression analysis using SPSS
1. Explanation of the choice of regression analysis as the statistical method
2. Description of the specific regression model used
3. Explanation of the inclusion of control variables in the analysis
IV. Results
Presentation of the descriptive statistics of the variables
B. Regression analysis results
1. Summary of the regression model
2. Presentation and interpretation of the coefficients related to economic factors
3. Discussion of statistical significance and effect sizes
4. Exploration of any potential mediating or moderating effects
VI. Conclusion
A. Summary of the key findings
B. Reiteration of the implications for policy and practice
C. Suggestions for future research directions
VII. References ss
A. List of all sources cited in the report
VIII. Appendices (if applicable)
A. Questionnaire used in the survey
B. Additional tables or figures (if necessary)
Certainly! Here are some examples of economic factors that are commonly studied in relation to fertility intentions:
Income and Financial Stability: The level of income and financial stability of individuals or households can impact fertility intentions. Higher income and financial stability may provide a sense of security and resources necessary to raise children, thereby positively influencing fertility intentions.
Cost of Childbearing and Childrearing: The economic costs associated with having and raising children, including expenses such as education, healthcare, housing, and childcare, can influence fertility intentions. Higher costs may discourage individuals or couples from having more children.
Employment and Work-Life Balance: Employment status, job security, and work-life balance play a crucial role in fertility intentions. Factors such as availability of parental leave, flexible work arrangements, and support for working parents can impact the decision to have more children.
Housing and Property Ownership: The availability, affordability, and quality of housing, as well as property ownership, can affect fertility intentions. Adequate housing and property ownership may provide the necessary conditions for expanding the family.
Access to Social Welfare and Support Systems: The availability and effectiveness of social welfare programs, such as childcare subsidies, healthcare benefits, and family support services, can influence fertility intentions. Access to supportive systems may alleviate some economic concerns associated with having more children.
Education and Career Opportunities: The level of education and career opportunities available to individuals can impact fertility intentions. Pursuing higher education or career advancement may delay or reduce the desire to have children, especially if individuals perceive potential conflicts between educational or career goals and childbearing.
Economic Inequality and Income Distribution: Socioeconomic disparities and income distribution within society can affect fertility intentions. High levels of economic inequality may discourage individuals from having more children due to concerns about providing a satisfactory standard of living for their offspring.
These are just a few examples of economic factors that researchers commonly explore in relation to fertility intentions. It's important to note that the specific economic factors of interest may vary depending on the research context and the population under study.
