China Regional GDP and Anti-Corruption Data for Informational Capacity Study

China's provincial-level data from a study on state informational capacity and competition. The dataset, authored by Li Jiayuan and hosted on Harvard Dataverse, supports analysis of the 2013 institutional reform's impact on GDP reporting. It was last updated on 2026-05-04.

Use Cases

• Analyzing the relationship between regional competition and data falsification based on the described theoretical framework.
• Testing the impact of anti-corruption campaigns on statistical reporting quality based on the described quasi-natural experiment.
• Modeling changes in state informational capacity pre- and post-2013 based on the described policy intervention.

Strengths

• Data is associated with a specific, described quasi-natural experiment (China's 2013 institutional reform).
• The study design includes a described temporal comparison (pre- and post-2013).
• Theoretical framework linking competition, accountability, and informational capacity is explicitly described.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Harvard Dataverse

Collection Method

Likely contains aggregated provincial-level economic and anti-corruption data from official Chinese sources, as suggested by the description of the study.

Time Range

Likely spans years before and after the 2013 reform, as suggested by the quasi-experimental design.

Freshness

Last updated 2026-05-04 23:50:39; freshness should be verified.

Geography

China, at the provincial level, as suggested by the description's focus on regional competition.