| Patent Propensity in Small Technologybased Firms： Evidence from Zhongguancun Science Park |
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| 基金项目： | This work is supported by the National Natural Science Foundation of China （Project No. 70772020 and No.70602005）. |
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| 摘 要： | Using a survey administered in Zhongguancun Science Park in Beijing, China, this paper investigates the impact of R ＆D personnel-related intellectual property management practices on the patent propensity of small technology-based firms. It is found that R＆D personnel- related management practices, including training and reward mechanisms, are effective in enhancing a firm ＇s willingness to patent. In particular, we find that reward mechanisms can negatively moderate the effect of size on a firm ＇s willingness to patent. One implication that emerged from the analysis is that a small firm can counteract its size disadvantage in patenting by introducing a well-developed reward mechanism.
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| 关 键 词： | 中关村科技园区 证据 企业 专利 |
Patent Propensity in Small Technology-based Firms: Evidence from Zhongguancun Science Park |
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| Authors: | Delin Yang Xibao Li Jiagui Chen |
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| Institution: | [1]Associate Professor, School of Economics and Management, Tsinghua University, Beijing, China [2]School of Economics and Management, Tsinghua Uiversity, Beijing, China [3]Chinese Academy of Social Sciences, Beijing, China |
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| Abstract: | Using a survey administered in Zhongguancun Science Park in Beijing, China, this paper investigates the impact of R&D personnel-related intellectual property management practices on the patent propensity of small technology-based firms. It is found that R&D personnel-related management practices, including training and reward mechanisms, are effective in enhancing a firm's willingness to patent. In particular, we find that reward mechanisms can negatively moderate the effect of size on a firm's willingness to patent. One implication that emerged from the analysis is that a small firm can counteract its size disadvantage in patenting by introducing a well-developed reward mechanism. |
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| Keywords: | innovation surveys patent propensity reward mechanism science park |
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