Impact of Digital Literacy on Rural Sports Participation in China, 2018-2022

China family panel studies (CFPS) survey data from 2018, 2020, and 2022 was analyzed by Jiawei Chen to examine the relationship between digital literacy and sports participation among rural residents. The analysis employed binary logistic regression, Heckman two-stage regression, instrumental variable methods, and mediation effect tests. The dataset likely contains variables for digital literacy, sports participation, and mediating factors like digital usage, human capital, and social capital.

Use Cases

• Analyze the correlation between digital literacy and physical activity levels based on survey responses
• Model mediation effects of digital usage behavior on sports participation
• Study heterogeneity in digital literacy impact across demographic groups (gender, age, marital status)
• Train models to predict sports participation likelihood from digital literacy and capital indicators

Strengths

• Data spans three survey waves (2018, 2020, 2022), providing a multi-year cross-sectional view
• Analysis employed multiple statistical methods (binary logistic regression, Heckman two-stage, instrumental variable, KHB mediation) for robustness
• Results include heterogeneity analysis for male, middle-aged, and married subgroups

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is a 13.2 KB DOCX file, suggesting limited scope and likely summary data rather than raw survey responses

Provenance

Source

China family panel studies (CFPS)

Collection Method

Mixed cross-sectional survey

Time Range

2018, 2020, 2022

Freshness

Last updated 2026-04-09 05:20:13

Geography

China, rural areas