科技實力對於國家在國際上的競爭力影響重大,國家在創新投入多寡則關乎國家創新產出好壞及科技實力的累積;因此,本研究欲探討國家利用創新相關投入指標對創新產出指標的影響,藉此建構合適的國家創新成效模式。本研究先使用灰關聯模式將數值標準化,接著利用多次項迴歸與類神經網路分析來驗證創新研發支出、高科技輸出、高科技人力資源、創投資本等創新投入指標對專利活動、科技人力佔總勞動人數、創新報酬、創新影響材料及能源效率等創新產出指標的影響。實證發現,創新研發支出、高科技輸出、高科技人力資源、創投資本對專利活動、科技人力佔總勞動人數、創新報酬、創新影響材料及能源效率之間大部分都具顯著正向影響,而創投資本對歐洲專利申請、高科技輸出對高科技人力資源和創投資本對創新影響材料及能源效率假設未獲得支持。最後,提出相關之建議以及未來研究方向。
Technological capabilities significantly impact on national competitive advantage. This study researches on the influence of input index of national innovation on the output. Therefore, this study investigates that the countries to use relevant input indicators of national innovation, R & D expenditures, high-tech exports, high-tech human resources, and venture capital, affect innovation output indicators, patent activity, the number of high-tech human resources in the labor force, innovation turnover, effect of innovation on materials and energy efficiency, and construct the appropriate effectiveness of national innovation model. This study applies grey relational analysis to standardize the data, utilizes multiple regression analysis and neural network analysis to verify the R & D expenditures, high-tech exports, high-tech human resources, venture capital on the patent activity, high-tech human resources, innovation turnover, effect of innovation on materials and energy efficiency. The results show that R & D expenditures, high-tech exports, high-tech human resources, venture capital have significantly positive impact on patent activity, the number of high-tech human resources in the labor force, innovation turnover, and effect of innovation on materials and energy efficiency. But the other three hypotheses, venture capital to European patent application, high-tech exports to high-tech human resources, and venture capital to effect of innovation on materials and energy efficiency have insignificant influences. Finally, this study provides suggestions for further research.
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