China Provincial Innovation And Talent Cultivation Pathways

31 Chinese provincial-level regions provide data for analyzing innovation pathways using Bourdieu's Field Theory and fsQCA. The dataset supports investigation of how university-based talent cultivation mechanisms influence Provincial Innovation capacity. It identifies market-driven and government-led pathways for high-performing innovation.

Use Cases

• Analyze Provincial Innovation (PI) capacity outcomes across the 31 provincial-level regions.
• Identify configurational complementarity between talent cultivation mechanisms and innovation pathways.
• Investigate the influence of technology commercialization and international cooperation as market-driven pathway factors.
• Examine the role of policy support and institutional coordination within government-led innovation pathways.
• Compare high-level PI pathways against non-high PI pathways to understand inhibiting factors like resource scarcities.

Strengths

• Data covers 31 provincial-level regions in China.
• Analysis employs fuzzy-set Qualitative Comparative Analysis (fsQCA) for multi-factor causal mechanisms.
• Findings are grounded in Bourdieu’s Field Theory applied to regional innovation.

Limitations

• Dataset is very small at 12.6 KB, indicating limited raw data volume.
• Specific row count and column structure are unknown, limiting analytical planning.
• Data scope is confined to a single country and specific theoretical framework.

Provenance

Source

figshare, author Zhangyuze Wang.

Collection Method

Employed for a study using Bourdieu’s Field Theory and fuzzy-set Qualitative Comparative Analysis (fsQCA).

Time Range

null

Freshness

Last updated in March 2026.

Geography

31 provincial-level regions in China.