• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2018, Vol. 36 ›› Issue (9): 1642-1649.

• 科技管理与知识管理 • 上一篇    下一篇

企业性质、行业差异与高新技术企业退出研究

马玉琪1,扈瑞鹏1,2,赵彦云2,3   

  1. 1. 中国人民大学统计学院
    2.
    3. 中国人民大学
  • 收稿日期:2017-11-21 修回日期:2018-01-31 出版日期:2018-09-15 发布日期:2018-09-20
  • 通讯作者: 马玉琪
  • 基金资助:

    经济社会公共数据的空间统计样本数据开发及应用研究

The Study of Ownership, Industry Difference and Exit Mechanism of High-tech Enterprises

  • Received:2017-11-21 Revised:2018-01-31 Online:2018-09-15 Published:2018-09-20
  • Supported by:

    The Development and Application Study on Spatial Sample of Economic and Social Public Data

摘要: 基于中关村海淀园全样本数据,利用分层Cox风险比例模型,探究近年来我国高新技术企业的退出机制,并进行不同所有制、不同行业间的对比研究。结果表明:中关村高新技术企业始终面临较大的淘汰风险,且具有一定的加剧趋势;不同所有制企业的退出率存在明显差异,国有企业的退出风险显著低于非国有企业,行政力量产生了一定的壁垒效应;经营效率、规模、负债和研发水平等内部因素对企业退出风险具有显著影响;对于不同所有制、不同行业的高新技术企业,各变量的边际效应存在异质性;政府干预也会对企业退出产生一定影响,税收优惠有助于提升企业的生存概率,且这一因素对非国有企业的效应高于国有企业,财政补贴对各类企业的作用均不显著。研究结论为改善高新技术产业竞争环境,提升市场效率提供了一定的政策启示。

Abstract: Based on full-sample data of Zhongguancun Haidian Science Park, this paper explores exit mechanism of high-tech enterprises in China in recent years utilizing Stratified Cox Proportional Hazards model, and comparative analysis is carried out across enterprises of different ownerships and industries. The study reveals that: Zhongguancun high-tech enterprises are constantly facing high exit risk, and the trend is intensifying. The exit rates for enterprises of different ownerships have remarkable difference, the exit risk of state-owned enterprises is significantly lower than that of non-state-owned enterprises, which means administrative forces has generated some barrier effect. Internal factors such as operation efficiency, scale, liability and R&D level have significant impact on exit risk of enterprises. For high-tech enterprises of different ownerships and industries, the marginal effect of each variable is distinct; Government interventions also have some effect, tax incentives help to improve the survival probability of enterprises and the impact is greater for non-state-owned enterprises, while the impact of financial subsidies is insignificant for enterprises of all types. The conclusions provide some policy implications in terms of improving competitiveness environment of high-tech industry and increasing market efficiency.