Chinese Industrial Firm Environmental Governance Near 5A Tourist Attractions

Enterprise-level data examines the relationship between firms' spatial proximity to China's national 5A tourist attractions and corporate environmental governance in 2014. The analysis uses geocoded locations and firm data to test for positive environmental spillovers from tourism development. The dataset is 5.5 KB in size.

Use Cases

• Analyze the correlation between spatial proximity to 5A attractions and corporate environmental governance scores.
• Investigate differences in operating costs and fixed-asset intensity for firms near tourist sites.
• Compare the strength of the proximity-governance relationship for natural-landscape attractions versus other types.
• Examine how city-level innovation or marketization moderates the link between tourism proximity and firm environmental behavior.

Strengths

• Focuses on a specific, policy-relevant research question regarding tourism and industrial environmental governance.
• Data is geocoded, enabling spatial analysis of firm proximity to tourist attractions.
• Released under a permissive CC BY 4.0 license for broad reuse.

Limitations

• Very small data scale at 5.5 KB, indicating limited raw data or only summary/regression results.
• Temporal coverage is limited to the single year 2014, lacking longitudinal perspective.
• Underlying enterprise-level data and column structure are not described, limiting analytical reproducibility.

Provenance

Source

figshare, authored by Xiancheng Xiong.

Collection Method

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

Time Range

2014

Freshness

null

Geography

China