| 我国工业技术创新空间关联的时空演化及影响因素——基于规模以上工业企业数据的分析 |
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| 引用本文： | 邵小彧,朱佳玲,刘云强. 我国工业技术创新空间关联的时空演化及影响因素——基于规模以上工业企业数据的分析[J]. 地域研究与开发, 2021, 40(2): 7-12,19 |
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| 作者姓名： | 邵小彧 朱佳玲 刘云强 |
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| 作者单位： | 四川农业大学管理学院,成都611130 |
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| 基金项目： | 教育部人文社科青年项目(15YJC630081);四川省哲学社会科学规划青年项目(SC14C027);四川省系统科学与发展研究中心重点项目(Xq14B08)。 |
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| 摘 要： | 为研究未来区域工业如何实现技术创新全局提升和平衡发展,运用修正的引力模型构建2011—2016年工业技术创新的空间关联网络,并结合社会网络分析方法和二次指派程序实证分析工业技术创新空间关联网络的时空演化及影响因素。结果表明:中国工业技术创新呈现出明显的、繁杂的、多变的空间关联网络结构。经济水平地区差异、对外开放程度地区差异、地理邻接关系对工业技术创新空间关联性具有正向影响,人力资本水平地区差异、环境规制地区差异对其有负向影响。
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| 关 键 词： | 工业技术创新 空间关联 社会网络分析 QAP方法 |
Spatial-temporal Evolution and Influencing Factors of Industrial Technological Innovation Spatial Correlation:Based on Data of Industrial Enterprises above Scale |
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| SHAO Xiaoyu,ZHU Jialing,LIU Yunqiang. Spatial-temporal Evolution and Influencing Factors of Industrial Technological Innovation Spatial Correlation:Based on Data of Industrial Enterprises above Scale[J]. Areal Research and Development, 2021, 40(2): 7-12,19 |
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| Authors: | SHAO Xiaoyu ZHU Jialing LIU Yunqiang |
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| Affiliation: | (School of Management, Sichuan Agricultural University, Chengdu 611130, China) |
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| Abstract: | In order to study how regional industry can achieve the overall promotion and balanced development of technological innovation in the future,the modified gravity model was used to construct the spatial correlation network of technology innovation from 2011 to 2016,and the spatial-temporal evolution and influencing factors were empirically analyzed by combining social network analysis and quadratic assignment procedure.The results show that industrial technological innovation presents a remarkable complex and changeable spatial correlation network structure.Regional differences in economic level,openness and geographical adjacency have positive effects on the spatial correlation of industrial enterprises’technology innovation,while regional differences in human capital level and environmental regulation have negative effects. |
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| Keywords: | industrial technological innovation spatial correlation social network analysis QAP method |
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