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Study On The Relationship Between Enterprise Resources And Technical Innovation Output Of GEM Listed Companies

Posted on:2016-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:Q KangFull Text:PDF
GTID:2309330461469198Subject:Finance
Abstract/Summary:PDF Full Text Request
Enterprise resources are the basis of research and development activities of enterprises. Competitive advantage and technological innovation capability can be enhanced if companies use their resources rationally. Therefore, to find out the relationship between key resources and technical innovation output is especially important. Based on sorting out the theory of enterprise resources and technical innovation, this paper defines and analyzes two variables, including enterprise resources (technical resources, human resources and reputation resources are included) and technical innovation output (the number of patent application is included). After adding two control variables-the enterprise size and the enterprise age, the author selects GEM listed companies from 2010 to 2013 as samples, and then utilizes the multiple regression model and the negative binomial regression method to empirically analyze the relationship between enterprise resources and technical innovation output.Firstly, the paper studies the enterprise resources and technical innovation output of the GEM listed companies, and then empirically analyzes the relationship between them. Secondly, the GEM listed companies are divided into IT industry and non-IT industry, and further study on the relationship between enterprise resources and technical innovation of these two industries is made. Finally, the paper divides the technical innovation output into the invention patents, utility model patents, and appearance design patents according to the standard of State Intellectual Property Office. After that, further detailed in-depth study on the relationship between enterprise resources of the GEM listed companies and these three different technical innovation output is carried out. Some specific study conclusions are as follows:(1) Seen from the whole industry, the technical resources of the GEM listed companies have a positive correlation with the overall patents, invention patents and utility model patents, but they have no significant correlation with the appearance design patents. With the increase of investment in technical resources, the corresponding number of patents accordingly increases. Human resources have a positive correlation with the overall patents, utility model patents and appearance design patents, but there is no significant correlation with the invention patents. Besides, reputation resources have a negative correlation with the overall patents, invention patents and utility model patents, while it has no remarkable correlation with the appearance design patents.(2) Compared with non-IT enterprises, IT enterprises’technical resources have a more positive correlation with the overall patents, invention patents and appearance design patents, which shows that IT industry can greatly enhance the output of these three kinds of patents. Human resources have a more positive correlation with the overall patents, invention patents, utility model patents and appearance design patents. Nevertheless, reputation resources have a more negative correlation with the overall patents, invention patents and utility model patents.As a whole, the correlation between the enterprise resources of the GEM listed companies and overall technical innovation output is significant. Among them, the technical resources and human resources have a positive correlation with the overall technical innovation output, but the reputation resources have a negative correlation with it. Therefore, when the GEM listed companies carry out research & development innovation activities, they should rationally utilize resources to meet different kinds of technical innovation.
Keywords/Search Tags:the GEM listed companies, the enterprise resources, the technical innovation output, the negative binornial regression
PDF Full Text Request
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