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Open government data and management earnings forecast quality: evidence from China

  • Baolei Qi
  • , Yan Wang
  • , Zeyu Sun*
  • , Wen Zhang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

We explore the impact of open government data on earnings forecast quality by analyzing China’s staggered establishment of open government data platforms. We find that open government data improves management earnings forecast quality by reducing data acquisition costs and lowering industry entry barriers. The effect is stronger for managers with greater competencies and no political affiliations, firms with higher stakeholder attention, and regions with lower development degree. Further analyses demonstrate the role of open government data in improving broader forecasting behaviors and in weakening immediate market reactions to forecasts. Overall, our study reveals the value creation role of public data. © 2025 City University of Hong Kong and National Taiwan University.
Original languageEnglish
Pages (from-to)902–924
Number of pages23
JournalAsia-Pacific Journal of Accounting and Economics
Volume32
Issue number5
Online published20 Mar 2025
DOIs
Publication statusPublished - 2025

Funding

This work was supported by the [National Natural Science Foundation of China] under Grant [number 72172116].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Research Keywords

  • information acquisition costs
  • management earnings forecast quality
  • Open government data
  • public data
  • value creation

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