Heterogeneity Analysis of National Park Tourism in China

A collection of results from a difference-in-differences analysis of national park establishment effects on nature-based tourism from 2009 to 2023. It focuses on regional heterogeneity and policy intensity differences across counties within China's Giant Panda National Park. The dataset is 5.5 KB in size.

Use Cases

• Analyze regional heterogeneity in tourism improvement by comparing effects across Sichuan, Shaanxi, and Gansu provinces.
• Assess the impact of policy intensity on nature-based tourism experiences by comparing high-intensity and low-intensity policy groups.
• Investigate the relationship between local fiscal expenditure and tourism industry expansion following national park establishment.
• Examine the co-occurring influences of olfactory, gustatory, and auditory perceptions on visual and tactile visitor impressions.

Strengths

• Analysis covers a 15-year time range from 2009 to 2023.
• Focuses on Giant Panda National Park, one of China's earliest national parks.
• Employs a difference-in-differences (DID) methodological approach.
• Explicitly examines regional heterogeneity and policy intensity differences.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope and likely a summary of results rather than raw data.
• Specific column names, row counts, and sample data are unavailable, limiting detailed analytical reproducibility.
• Geographic focus is limited to a single national park system in China, reducing generalizability.

Provenance

Source

figshare, authored by Yi Li.

Collection Method

Difference-in-differences (DID) analysis based on a supply-support-demand framework.

Time Range

2009 to 2023.

Freshness

Last updated March 2026.

Geography

Counties within China's Giant Panda National Park, with specific analysis of Sichuan, Shaanxi, and Gansu provinces.