Abstract
Rural finance is vital for rural economic development. This study uses extensive empirical data and econometric models to analyze factors influencing rural finance development in China. It employs multiple linear regression, panel data, and time series models, optimizing them through feature selection, non-linear processing, and cross-validation. Scenarios such as baseline, fiscal support, interest rate preferences, and inclusive finance are simulated to assess impacts on rural loan balances and resident income levels. The findings highlight that comprehensive measures yield better policy synergies, offering policy optimization suggestions for decision-makers.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
