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ESM-based national innovation policy influence analysis with the panel data of listed Chinese electronic SMEs

机译:基于ESM的国家创新政策影响分析与上市电子中小企业的面板数据

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This study uses the Event Study Methodology (ESM) to evaluate the influence of national innovation policies on small and medium size enterprises (SMEs) in high-tech industries. Originally, ESM was employed in the field of finance, and gradually it has been applied in many other fields to study the impact of a specific issue or event on organizational behaviors, including impact identification and impact duration for an event. ESM is regarded as an effective empirical research method because of its specific procedures for identifying event consequences and its explicit statistical analysis for investigating relationships among complex factors. Traditionally, most ESM applications are single event applications. However, innovation policies must be treated as a series of multiple relevant events at irregular time intervals. Employing ESM to study the impacts of innovation policies has not been attempted until now. In this paper, we use ESM to investigate the impacts of one specific type of Chinese innovation policy, namely, the tax preference policies for enterprises during the period of 2006–2010. For this study, tax preference policies have been treated as input variables and the market values of electronic companies listed on Shenzhen SMEs Stock Exchange have been selected as output variables. ESM-based empirical analysis shows that these policies have substantial impacts on enterprise performance. More specifically, the upward trends of the Average Abnormal Return and Cumulative Average Abnormal Returns are both significant for companies taking advantage of these policies, and as a result, the enactment of the policies demonstrates a positive influence on the market values of the relevant companies. This study indicates that enforcing tax preference policies is an effective approach for Chinese government to promote the development of high-tech industries by influencing innovation behaviors of individual companies.
机译:本研究采用了事件研究方法(ESM)来评估国家创新政策对高新技术产业中小型企业(中小企业)的影响。最初,ESM受雇于金融领域,逐步应用于许多其他领域,以研究特定问题或事件对组织行为的影响,包括影响事件的影响和影响持续时间。 ESM被认为是一种有效的经验研究方法,因为其具体程序来确定事件后果及其明确统计分析,用于调查复杂因素之间的关系。传统上,大多数ESM应用程序是单事件应用程序。但是,必须以不规则的时间间隔被视为一系列多种相关事件的创新政策。雇用ESM研究创新政策的影响尚未尝试到现在。在本文中,我们使用ESM调查2006 - 2010年期间企业税务偏好政策的影响,探讨了一种特定类型的中国创新政策的影响。对于本研究,税务偏好政策已被视为输入变量,并选择了深圳中小企业证券交易所上市的电子公司的市场价值作为输出变量。基于ESM的实证分析表明,这些政策对企业绩效具有大量影响。更具体地说,平均异常回报和累积平均异常回报的上升趋势对于利用这些政策的公司而言,该公司的颁布证明了对相关公司的市场价值的积极影响。本研究表明,执行税收偏好政策是中国政府通过影响个别公司的创新行为来促进高新技术产业发展的有效方法。

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