Sustainable Development and Innovation Metrics for Central Guizhou Urban Agglomeration

Panel data from 2013 to 2022 analyzes sustainable development and technological innovation across 33 districts and counties in China's Central Guizhou Urban Agglomeration. The study employs a coupled coordination model to assess the relationship between these two systems, finding persistently low levels and weak coordination. Author Yan Zhang compiled the data to examine tensions between innovation-led growth and long-term environmental and social goals.

Use Cases

• Calculate coupled coordination scores between sustainable development and technological innovation systems for the 33 districts.
• Analyze temporal trends from 2013 to 2022 to assess if innovation's influence on sustainability has strengthened.
• Model the dominant effects of urbanization and economic growth on the innovation-sustainability relationship.
• Map spatial disparities in innovation and sustainability levels across the Central Guizhou Urban Agglomeration.

Strengths

• Covers a defined 10-year panel from 2013 to 2022.
• Focuses on 33 distinct administrative districts and counties within a key Chinese urban agglomeration.
• Explicitly models the coupled coordination between two complex systems: sustainable development and technological innovation.

Limitations

• Small data scale at 189.3 KB, indicating limited raw observational data or aggregated metrics.
• Specific variables, column counts, and row counts are not disclosed in the available metadata.
• Geographic scope is restricted to one urban agglomeration in Guizhou, limiting generalizability.

Provenance

Source

Yan Zhang via figshare.

Collection Method

Analysis using a coupled coordination model on panel data.

Time Range

2013 to 2022.

Freshness

Data current through 2022, with metadata updated in March 2026.

Geography

33 districts and counties within the Central Guizhou Urban Agglomeration, China.