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CnOpenData's Government Subsidies Database for A-Share Listed Companies systematically compiles various types of government subsidy information disclosed by A-share listed companies since 2006. It encompasses core fields such as security code(证券代码), fiscal year(会计年度), subsidies on cash flow statements(现金流量表补助), subsidies in non-recurring gains and losses(非经常性损益补助), and subsidies in non-operating income(营业外收入补助). This database comprehensively characterizes the scale, structure, and flow of government support received by enterprises, providing fundamental data support for researching the effectiveness of industrial support policies, corporate operational behaviors, and government-enterprise relationships.

Data Features

  • Near Twenty-Year Comprehensive Coverage: Includes all A-share listed companies since 2006, systematically presenting long-term trends and periodic changes in policy support intensity.
  • Multi-Source Cross-Validation: Integrates three measurement approaches—cash flow statements, non-recurring gains and losses, and non-operating income—to holistically reflect the actual impact of government subsidies on corporate finance and operations.

Potential Application Value

  • Academic Research: Explore the relationship between subsidies and corporate innovation/profitability; compare subsidy variations across industries and enterprise scales; evaluate the transmission mechanisms of government industrial policies in capital markets.
  • Policy Assessment: Identify enterprises with high subsidy dependency and key supported industries to optimize investment strategies; evaluate competitors' subsidy acquisition levels to analyze industry support patterns; track subsidy flows to examine the effectiveness and efficiency of industrial support policies.

CnOpenData's Government Subsidies Database for A-Share Listed Companies is distinguished by its long-term, systematic, and multi-dimensional advantages. It offers academia robust underlying data for studying corporate behaviors and policy effects while providing transparent and verifiable references for investment and industrial decision-making. Whether assessing policy effects at the macro level or examining corporate dependency and operational strategies at the micro level, this database delivers indispensable value.


Time Coverage

2006–2024


Field Display


Sample Data


Data Update Frequency

Annual updates