---
title: Corporate Governance in Financial Distress in China
url: https://www.ml-quant.com/papers/repec/eee-pacfin-v-88-y-2024-i-c-s0927538x24003019/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:pacfin:v:88:y:2024:i:c:s0927538x24003019
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24003019%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A88%3Ay%3A2024%3Ai%3Ac%3As0927538x24003019
featured: 2024-12-18
citations: unknown
topic: Corporate Finance
---


# Corporate Governance in Financial Distress in China

The research uses the LightGBM machine learning method to study the effect of corporate governance indicators on financial distress in Chinese public firms, identifying institutional ownership, managerial ownership, and executive compensation disparity as key indicators.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0927538X24003019%3Bh%3Drepec%3Aeee%3Apacfin%3Av%3A88%3Ay%3A2024%3Ai%3Ac%3As0927538x24003019
- Identifier: RePEc:eee:pacfin:v:88:y:2024:i:c:s0927538x24003019
- Released: 2024-12-18
- First featured: Quant Letter No. 79 (2024-12-18): https://www.ml-quant.com/issues/2024-12-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Corporate Finance

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