• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Kybernetes: The International Journal of Systems & Cybernetics >Research on relationship between government innovation funding and firms value creation using clustering-rough sets
【24h】

Research on relationship between government innovation funding and firms value creation using clustering-rough sets

机译：使用聚类粗糙集的政府创新资金与企业价值创建关系研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Purpose The purpose of this paper is to reveal the pattern between government innovation funding and enterprise value creation. Many factors, including government innovation funding, R&D ability, corporate governance and some company characteristics significantly affected the efficiency of firm value creation. Design/methodology/approach This paper proposed a novel methodology based on clustering-rough sets to explore the characteristics of enterprise value creation behavior, and map the relationship between government innovation funding and enterprise value creation. The agglomerative hierarchical clustering (AHC) algorithm were used to classify firm performance and get two types of value creation efficiencies and to discretize condition attributes because the rough set theory cannot deal with continuous attributes. This paper utilized the rough sets method to realize data mining and get rules of government innovation funding and enterprise value creation. Findings R&D ability, proportion of independent directors, remuneration of directors, operating revenue, number of employees, price-earnings ratio, quick ratio, capital intensity and ROA were important to identify firm value creation efficiency when government funded the firms. Firms of high level of government innovation funding, high lagged R&D ratio, high remuneration of directors, low price-earnings ratio, low quick ratio, moderate capital intensity and high ROA were more likely to have high efficiency of value creation. Originality/value Since China implemented the innovation-driven development strategy, facilitating enterprise innovation has become an important way to achieve high-quality economic growth. With constantly increasing of Chinese government innovation funding, studying on the effect of government innovation funding on firm's value creation is significant to improve the efficiency of government resource allocation. It is valuable to reveal the pattern between government innovation funding and enterprise value creation based on the value added theory. The rules obtained could be used to provide decision-making support to improve the efficiency of government innovation funding and prevent waste of government resources effectively.
机译：目的本文的目的是揭示政府创新资金与企业价值创造之间的模式。许多因素，包括政府创新资金，研发能力，企业治理和一些公司特色会显着影响公司价值创造的效率。设计/方法/方法本文提出了一种基于聚类粗糙集的新方法，以探索企业价值创造行为的特点，并映射政府创新资金与企业价值创造的关系。凝聚分层聚类（AHC）算法用于对公司性能进行分类并获得两种类型的价值创建效率，并使条件属性离散，因为粗糙集理论无法处理连续属性。本文利用粗糙集法实现数据挖掘，获取政府创新资金规则和企业价值创造。调查结果研发能力，独立董事的比例，董事薪酬，营业收入，员工人数，价格盈利比率，快速比例，资本强度和资本强度和ROA非常重要，在政府资助公司时识别公司价值创造效率。高水平的政府创新资金公司，高滞后的研发比，董事的高薪酬，低价率，低的快速比，低资本强度和高ROA更有可能具有高效率的价值创造。原创/价值自中国实施创新驱动的发展战略以来，促进企业创新已成为实现高质量经济增长的重要途径。随着中国政府创新资金不断增加，研究政府创新对企业价值创造的影响的影响是提高政府资源分配效率的重要意义。揭示了基于增值理论的政府创新融资与企业价值创造的模式是有价值的。所获得的规则可用于提供决策支持，以提高政府创新资金的效率，并有效地浪费政府资源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号