Keer Ning, Xiaofeng Dang, Dian Huang

Business School Linnan Normal University

Abstract：

This study investigates China's accounting system reforms under the data-driven governance paradigm, analyzing their dual impacts on provincial data quality and corporate credit risks. Utilizing a novel dataset of 31 provincial input-output tables (2015-2025) and 12,456 corporate default records, we demonstrate: Unified GDP accounting reduces interprovincial statistical discrepancies by 41% through institutional centralization; Environmental cost internalization decreases polluting firms' default probabilities by 0.18 standard deviations; Digital economy measurement captures 38% previously unrecorded SME transactions. Policy simulations propose a three-phase reform roadmap integrating blockchain verification and climate stress-testing mechanisms.

Key Words：

accounting system reform; data quality governance; corporate default dynamics; high-quality development paradigm