Robustness Checks for Tourism-Environment Linkage in China

Robustness checks support a 2014 study linking Chinese industrial firms' environmental governance to proximity to national 5A tourist attractions. The analysis uses enterprise-level data and geocoded attraction locations to examine relationships with operating costs and fixed-asset intensity. The dataset contains supplementary statistical tests for the published findings.

Use Cases

• Validate IV-based estimates and alternative model specifications for the proximity-environmental governance relationship.
• Replicate checks for the association between attraction proximity and lower firm operating costs.
• Assess robustness of findings on how fixed-asset intensity mediates the tourism-environment linkage.
• Examine sensitivity of results across natural-landscape attractions versus other attraction types.
• Test the robustness of moderating effects from city-level innovation and marketization.

Strengths

• Data underpins a peer-reviewed study with explicit robustness checks including IV estimation.
• Focus on China's national 5A tourist attractions provides a clear, high-standard tourism metric.
• Analysis integrates enterprise-level financial data with geocoded spatial points.

Limitations

• The 9.5 KB file size indicates a very small dataset, likely containing only summary test results, not the primary data.
• Temporal coverage is limited to the single year 2014, offering a cross-sectional snapshot.
• Specific row and column counts for the underlying analysis data are not provided in this deposit.

Provenance

Source

Figshare deposit by author Xiancheng Xiong.

Collection Method

Enterprise-level data and geocoded locations of China's national 5A tourist attractions.

Time Range

2014

Freshness

Last updated March 2026, though the study's core data is from 2014.

Geography

China