China Urban-Tourism Coupling Panel Data, 2010–2019

30 Chinese provinces are represented in this provincial-level panel dataset from 2010 to 2019. It includes raw indicators and composite scores for new-type urbanization (6 dimensions) and high-quality tourism development (4 dimensions), plus coupling coordination degree and macroeconomic control variables. Author Rong Zhang provides full replication code.

Use Cases

• Analyze coupling coordination between urbanization and tourism based on the calculated coupling coordination degree.
• Model provincial-level economic development based on macroeconomic control variables.
• Compare urbanization progress across dimensions based on the 6-dimension composite scores.
• Assess tourism development quality across dimensions based on the 4-dimension composite scores.
• Replicate analyses using the provided full replication code.

Strengths

• Includes composite scores for 6 dimensions of urbanization and 4 dimensions of tourism.
• Provides calculated coupling coordination degree for each province-year.
• Contains macroeconomic control variables.
• Offers full replication code for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to figshare.

Provenance

Source

figshare

Time Range

2010–2019

Freshness

Last updated 2026-06-01 03:10:17; freshness should be verified.

Geography

China (30 provinces)