Talent Policy Sentiment and Attention Across 232 Chinese Cities, 2014-2023

Kun Li's replication dataset supports a study on the relationship between Talent Policy Attention (TPA) and the Talent Policy Sentiment Index (TPSI). It includes a city-year panel for 232 Chinese cities from 2014 to 2023, with indices for the digital economy and city-level controls. The materials also contain source sentiment aggregation data and Stata code to reproduce the TPSI using an entropy weight method.

Use Cases

• Analyzing the relationship between policy attention and public sentiment based on the TPA and TPSI variables.
• Studying the role of the digital economy in talent policy outcomes using the provided digital economy development index.
• Reproducing sentiment index construction using the provided raw message counts and Stata code for the entropy weight method.
• Conducting panel data analysis on Chinese urban development with the included city-level control variables.

Strengths

• Includes replication code (Stata .do file) and raw sentiment data, enabling methodological verification.
• Covers a 10-year time span (2014-2023) for longitudinal analysis.
• Provides data for 232 Chinese cities, offering sub-national geographic scope.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data may reflect geographic bias inherent to its focus on Chinese cities.

Provenance

Source

Author: Kun Li. Platform: figshare.

Collection Method

Likely constructed from policy documents and online message aggregation, with sentiment calculated via an entropy weight method.

Time Range

2014 to 2023

Freshness

Last updated 2026-05-02 11:35:48; freshness should be verified.

Geography

232 cities in China