摘要
在CHK、FN以及HK三类传统僵尸企业识别方法的基础上,本文引入中国国务院和中国人民大学国家发展研究院识别标准,并加入企业研发投入等新的量化指标来构建符合中国国情的僵尸企业识别模型。研究结果表明,在传统模型与所构建中国僵尸企业识别模型下,中国僵尸企业比例均呈现出先升后降再均趋于稳定的趋势,所构建中国僵尸企业识别方法能够更加有效地识别出中国僵尸企业。
On the basis of CHK,FN and HK model,this paper introduces the identification criteria of the State Council of China and the National Development Research Institute of Renmin University of China,and adds some new quantitative indicators (such as R&D investment of enterprises,government subsidies,etc.) to construct a zombie enterprises identification model suitable for China's national conditions.The results show that under the traditional model and the Chinese zombie enterprises recognition model,the proportion of Chinese zombie enterprises shows a trend of rising first,then declining and then tending to be stable,which proves that the method can recognize Chinese zombie enterprises more effectively.
作者
李晓燕
LI Xiao-yan(School of Economic & Management,Southwest Jiaotong University,Chengdu 610031,China;School of Business,Chengdu University of Technology,Chengdu 610059,China)
出处
《经济体制改革》
CSSCI
北大核心
2019年第3期194-200,共7页
Reform of Economic System
基金
国家社会科学基金一般项目“供给侧结构性改革下中国金融市场风险的大数据智能预警方法及应用研究”(17BJY188)
四川省软科学计划项目“不同波动状态下能源金融市场极端风险传染效应检验及应用研究”(2016ZR0137)
四川省软科学计划项目“供给侧改革背景下中国企业‘僵尸化’的智能预警研究”(18RKX0920)
