China's Population: Development, Trends, and Data Insights

Using the 2024 China National Statistical Yearbook (14 core population tables, 1949-2023 national data, 2014-2023 provincial data) and supplementary sources like the 2023 China Science and Technology Statistical Yearbook, it applies methods including descriptive statistics, Apriori-based association rule mining, K-means clustering, cohort component method, and ARIMA model.Key research covers: constructing a standardized population database via data preprocessing; analyzing multi-dimensional population characteristics (size contraction since 2022, deepening aging, rising urbanization, uneven regional mobility, improved quality); predicting 2030-2050 trends under 4 scenarios (baseline, fertility stimulation, etc.); exploring population-socioeconomic interactions (aging's impact on endowment insurance, labor shrinkage's constraint on manufacturing); and proposing region-specific policies (e.g., "Population Return Incentive Program" for Northeast China).The study holds theoretical value in advancing population economics theories and practical significance in supporting China's high-quality population-driven modernization.

Autorentext
Jian-Hong Sun received the Master's Degree in Computer Information System Program from the Assumption University, Thailand, in 2009. He is currently and Associate Professor in the Engineering College, Honghe University, China. His current research interests include bioinformatics, data mining and big data analytics.