China

Showing 1-4 of 4 results

China Monthly Economic Policy Uncertainty (EPU) Index

Creators: Scott R. Baker, Nicholas Bloom, and Steven J. Davis
Publication Date: /
Creators: Scott R. Baker, Nicholas Bloom, and Steven J. Davis

This dataset provides a monthly Economic Policy Uncertainty (EPU) index for China, constructed using newspaper coverage of policy uncertainty. It measures the level of uncertainty surrounding economic policy decisions in China on a month-by-month basis. U

China Trade Policy Uncertainty (TPU) Index

Creators: Scott R. Baker, Nicholas Bloom, and Steven J. Davis
Publication Date: /
Creators: Scott R. Baker, Nicholas Bloom, and Steven J. Davis

This dataset provides a China-specific Trade Policy Uncertainty (TPU) index, measuring uncertainty about trade policy decisions affecting China, constructed from newspaper-based text analysis. It differs from the broader EPU index by focusing specifically on trade-related policy uncertainty.

China National Bureau of Statistics – National Data Platform

Creators: National Bureau of Statistics of China (NBS)
Publication Date: 2026
Creators: National Bureau of Statistics of China (NBS)

The National Data platform of China’s National Bureau of Statistics (NBS) provides online access to comprehensive national and regional statistical data covering economic indicators, industrial output, trade, population, and social development across China. It includes time-series data at national, provincial, and city levels.

Elite Backgrounds, Career Paths, and Promotion Patterns in the Chinese Communist Party (CCP)

Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao
Publication Date: 2023-03-01
Creators: Patrick Francois, Francesco Trebbi, Kairong Xiao

This dataset collection contains detailed individual-level data on members of the Chinese Communist Party (CCP), primarily from the 19th Central Committee and related leadership bodies. The data include variables on personal demographics (e.g., gender, ethnicity, education), career trajectories (e.g., office tenures, geographic placements, sectoral experience), and elite backgrounds (e.g., military service, red/technocratic family origins, bureaucratic ties). Several datasets focus on promotion outcomes and covariates relevant for regression analysis, while others record coded biographical information from public sources such as official CCP documents and media reports. Variables span institutional affiliations, cadre rank levels, prior leadership experience, and exposure to national vs. local governance. This structure enables analysis of determinants of elite selection and promotion within the CCP hierarchy.

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