Fiscal Decentralization and Enterprise Innovation in China, 2015-2023

Jie Tu's dataset contains empirical results from a study on how fiscal decentralization affects enterprise technological innovation. It uses a sample of A-share listed companies in China from 2015 to 2023. The data supports a moderated mediation model within a three-tier principal-agent framework.

Use Cases

• Testing the 'decentralization inhibition theory' based on the relationship between fiscal decentralization and enterprise innovation.
• Analyzing the mediating role of local government innovation preference based on the described principal-agent framework.
• Investigating property-right heterogeneity in innovation outcomes based on the distinction between state-owned and private enterprises.
• Modeling the 'crowding-out effect' of government policies on private enterprise innovation based on the described arbitrage behavior.

Strengths

• Data covers a 9-year time range from 2015 to 2023.
• Focuses on A-share listed companies, a defined and significant economic segment.
• Dataset is small (5.5 KB), facilitating quick download and initial inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is highly specific to one study's findings, which may limit generalizability.

Provenance

Source

Jie Tu via figshare.

Collection Method

Likely contains processed empirical results from a study of A-share listed companies.

Time Range

2015 to 2023

Freshness

Last updated 2026-04-15 18:04:47; freshness should be verified.

Geography

China (inferred from focus on A-share listed companies)