Chinese Youth Survey on Air Pollution Perception and Government Evaluation, 2021

2021 China Social Survey data analyzes youth perceptions of air pollution and evaluations of government environmental performance. The 5.5 KB Excel file contains results used in an ordered logistic model and mediation analysis. Author Xiaoyan Li published the dataset on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Modeling the relationship between pollution perception and government evaluation based on survey responses.
• Conducting mediation analysis to test pathways like residential satisfaction and trust in local government.
• Comparing the relative contributions of psychological mediators using decomposition methods like KHB.
• Providing empirical evidence for designing targeted environmental policies aimed at youth.

Strengths

• Dataset is derived from the 2021 China Social Survey (CSS), a recognized social science data source.
• Analysis employs established statistical methods including ordered logistic models and bootstrap mediation.
• The dataset is small (5.5 KB) and in a widely accessible XLS format.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset's freshness should be verified as the last update date is in the future (2026-04-21).
• Data may reflect geographic and temporal bias inherent to a single national survey from 2021.

Provenance

Source

2021 China Social Survey (CSS)

Collection Method

Social survey data analyzed with ordered logistic models and bootstrap/KHB mediation methods.

Time Range

2021

Freshness

Last updated 2026-04-21 17:25:15; freshness should be verified.

Geography

China