| 知识分布、衰减程度与产业集群创新模式的内在机制研究 |
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| 引用本文： | 张应青,范如国,罗明. 知识分布、衰减程度与产业集群创新模式的内在机制研究[J]. 中国管理科学, 2018, 26(12): 186-196. DOI: 10.16381/j.cnki.issn1003-207x.2018.12.018 |
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| 作者姓名： | 张应青 范如国 罗明 |
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| 作者单位： | 1. 贵州财经大学管科学院, 贵州 贵阳 550025;2. 武汉大学经济与管理学院, 湖北 武汉 430072;3. 广西师范大学经济管理学院, 广西 桂林 541004 |
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| 基金项目： | 国家自然科学基金资助项目（71271159）；国家社科重大基金资助项目（14ZDA062）；教育部人文社会科学研究专项课题（14JDGC012） |
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| 摘 要： | 以知识流动为研究视角，将集群创新过程中的知识溢出、吸收能力内生化，构建包含三种创新模式下的产业集群演化模型，重点分析集群知识分布和知识衰减程度与集群创新模式的内在机制及其对创新产出的影响，并进行仿真实验。研究表明：不同知识分布下，混合创新模式的创新产出表现最好，外部吸收创新模式与内部自主创新模式呈现出不同的创新产出演化路径；在外部吸收创新和混合创新模式下，均匀分布型产业集群的创新产出表现最好，集中分布型表现次之，异质分布型表现最差，而在内部自主创新模式下，集中分布型则表现最好；不同创新模式对知识衰减的敏感程度呈现阶段性差异特征。这些结论对产业集群创新和可持续发展具有很好的理论和实践指导意义。
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| 关 键 词： | 知识分布 知识衰减程度 知识溢出 吸收能力 集群创新模式 |
| 收稿时间： | 2017-05-03 |
| 修稿时间： | 2017-09-21 |
A Study on the Inner Mechanisms of Knowledge Distribution,Depreciation on Industrial Clusters' Innovation Patterns |
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| ZHANG Ying-qing,FAN Ru-guo,LUO Ming. A Study on the Inner Mechanisms of Knowledge Distribution,Depreciation on Industrial Clusters' Innovation Patterns[J]. Chinese Journal of Management Science, 2018, 26(12): 186-196. DOI: 10.16381/j.cnki.issn1003-207x.2018.12.018 |
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| Authors: | ZHANG Ying-qing FAN Ru-guo LUO Ming |
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| Affiliation: | 1. School of Management Science, Guizhou University of Finance and Economics, Guiyang 550025, China;2. Economics and Management School, Wuhan University, Wuhan 430072, China;3. School of Economics and Management, Guangxi Normal University, Guilin 541004, China |
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| Abstract: | It has not been fully understood what the mechanisms are responsible for industrial cluster's innovation. In this paper, to investigate the mechanisms and effects of knowledge distribution and depreciation on industrial cluster's innovation patterns, endogenous knowledge spillover willingness and absorptive capacity are cossidered from the perspective of knowledge flow. Then, a modified industrial cluster's evolutionary model is proposed, including three kinds of innovation patterns. The simulation experiment is carried out on a cluster network. The results of simulation indicate that blending innovation demonstrates the best of innovative output, and different evolutionary paths of innovative output are presented between the external absorptive innovation and internal independent innovation. And in terms of the external absorptive innovation and blending innovation, industrial cluster with evenly knowledge distribution performs the best of innovative output, followed by industrial cluster with concentrated knowledge distribution and industrial cluster with heterogeneous knowledge distribution, while in terms of internal independent innovation, the best of innovative output comes from the industrial cluster with concentrated knowledge distribution. In addition, sensitivity for knowledge depreciation shows the phased differences among three kinds of innovation patterns. The conclusions would have good theoretical and practical significance for industrial cluster's innovation and sustainable development. |
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| Keywords: | knowledge distribution knowledge depreciation knowledge spillover absorptive capacity innovation patterns |
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