| 基于时序数据的高技术企业成长性分析 |
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| 引用本文： | 鲍新中,李晓非.基于时序数据的高技术企业成长性分析[J].科学学研究,2010,28(2):275-281. |
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| 作者姓名： | 鲍新中 李晓非 |
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| 作者单位： | 1北京科技大学经济管理学院，北京 100083； 2北京信息科技大学经济管理学院，北京 100192 |
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| 摘 要： | 针对现有关于高技术企业成长性的研究多以截面数据为样本,无法体现出成长性变化趋势的不足,采用突变级数法构建了企业成长性系数,并利用这一系数对上市高技术企业的成长性进行了实证研究。结果表明:高技术企业在一段时间内具有较高的成长性,但随着时间的推移,成长性体现出明显的下降趋势,意味着该高技术行业逐步进入成熟期。另外,高技术企业在获得较高成长性的同时,也面临着很高的经营风险。
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| 关 键 词： | 高技术企业 成长性 突变级数法 |
| 收稿时间： | 1900-01-01; |
Grownth analysis of high-tech enterprises based on time series data |
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| BAO Xin-zhong,LI Xiao-fei.Grownth analysis of high-tech enterprises based on time series data[J].Studies in Science of Science,2010,28(2):275-281. |
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| Authors: | BAO Xin-zhong LI Xiao-fei |
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| Institution: | 1.School of Economics and Management/a>;University of Science and Technology Beijing 100083/a>;China/a>;2.School of Economics and Management/a>;Beijin Information Science & Technology University/a>;Beijing 100192/a>;China |
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| Abstract: | Current research on high-tech enterprises growth is mostly based on cross-section data,which could not show the trend of growth movement.In this paper,catastrophe progression method is used to construct growth coefficient,and empirical study is excuted on public high-tech enterprises.Result shows that high-tech enterprises have high growth in a period of time,ande then growth coefficient goes down which shows that this industry phases out into autumn.In addition,while achieving high growth,the high-tech ent... |
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| Keywords: | high-tech enterprises growth catastrophe progression method |
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