国家审计能促进国有企业全要素生产率增长吗?
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    如何促进国有企业治理改善,实现高质量发展,是当前国有企业审计亟须解决的问题。基于2010—2018年审计署公布的中央企业财务收支审计结果公告,采用双重差分模型实证检验国家审计对中央企业控股上市公司全要素生产率的影响及其作用机理。研究发现,国家审计能提高中央企业控股上市公司全要素生产率,主要体现在被审计当年及之后两年,通过扩大国家审计监督内容覆盖广度、拓展国家审计目标深度和加强国家审计权限行使力度实现。进一步发现,国家审计能通过促进中央企业控股上市公司增加研发投入、提高内部控制质量、抑制高管超额在职消费、缓解第一类代理问题等改善公司治理水平,提高全要素生产率。这对优化国有企业审计治理机制,提高全要素生产率,助推经济高质量发展具有启示意义。

    Abstract:

    How to promote the improvement of state owned enterprise governance and achieve high quality development is an urgent problem for current state owned enterprise audits. Based on the announcement of the audit results of the central government’s financial revenue and expenditure announced by the National Audit Office in 2010—2018, this paper empirically tests the impact and mechanism of the national audit on the total factor productivity (TFP) of the listed companies in the central enterprises by the double difference model. The research finds that national audit can improve the TFP of listed companies in central enterprises, which is mainly reflected in the year being audited and the following two years, and the effect can be achieved mainly by expanding the coverage of state audit supervision, expanding the depth of state audit objectives and strengthening the exercise of state audit authority. Further study finds that the national audit can improve corporate governance and improve TFP by promoting the growth of R&D investment, improving the quality of internal control, inhibiting the over employment of executives, and alleviating the first class agency problems. The research conclusions have certain enlightenment for optimizing the auditing governance mechanism of state owned enterprises, improving the TFP, and promoting the high quality development of the economy.

    参考文献
    相似文献
    引证文献
引用本文

郭金花a,杨瑞平b.国家审计能促进国有企业全要素生产率增长吗?[J].审计与经济研究,2020,(5):

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2020-10-13
  • 出版日期: