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The Spatial Structure Evolution Effect and Influencing Factors of Innovation-Vigor:Evidence from Guangdong-Hong Kong-Macao Greater Bay Area |
Wang Fangfang1,2,Yang Zhichen1,Wu Yuxi1 |
(1.School of Economics, Guangdong University of Finance&Economics; 2.Guangdong-Hong Kong-Macao Greater Bay Area Innovation Competitiveness Research Institute, Guangdong University of Finance&Economics, Guangzhou 510320, China) |
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Abstract Based on the patent licensing data of Guangdong-Hong Kong-Macao Greater Bay Area, this paper first attempted to use entropy weight method and analytic hierarchy process (AHP) to combine and empower the amount of patent licensing, build a comprehensive evaluation index of innovation-vigor, and use network analysis method to analyze the spatial structure evolution and influencing factors of innovation network in Guangdong-Hong Kong-Macao Greater Bay Area.The results showed that the importance of invention patent, utility model patent and design patent in innovation-vigor index decreased in turn; the close degree of innovation connection in Guangdong-Hong Kong-Macao Greater Bay Area was obviously strengthened, and the innovation network was developing towards the balanced multi center linkage trend; Guangzhou, Shenzhen and Foshan occupied the core position, and Dongguan and Zhongshan also joined in the core with the enhancement of innovation connection.The geographical distance, high-speed rail facilities, the concentration and diffusion of innovation factors, scientific research investment and product consumption all had significant influence on the evolution and development of innovation network.
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Received: 22 May 2020
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[1] PHILIP COOKE,MIKEL GOMEZ URANGA,GOIO ETXEBARRIA.Regional innovation systems: institutional and organisational dimensions[J].Research Policy,1997,26(4).[2] 刘建华,王明照.黄河下游城市群创新能力的空间演变及其影响因素[EB/OL].郑州大学学报(哲学社会科学版),2020(2):1-6[2020-04-11].http://kns.cnki.net/kcms/detail/41.1027.C.20200402.0913.002.html.[3] 包海波,林纯静.长三角城市群创新能力的空间特征及影响因素分析[J].治理研究,2019,35(5):51-58.[4] 赵凯旭,杨永春,李恩龙,等.中国区域创新效率时空演变及其影响因素研究[J].西北大学学报(自然科学版),2019,49(3):437-448.[5] 李胤奇,李柏洲.知识网络环境下企业技术创新自主性与协同性比较研究——基于空间杜宾模型的实证[J].科技进步与对策,2017,34(3):69-75.[6] GAO HUA.Research on China's regional innovation efficiency and influence factors based on SFA[J].Science and Technology Management Research,2015, 2(3)[7] 陈文韬,李琳.基于BP人工神经网络的知识创新能力的区域差异研究[J].科技进步与对策,2008,23(9):149-152.[8] RU MA,WAN-HSIN LIU.Spatial concentration of innovation activities in China and the role of mega-economic zones[J].China & World Economy,2019,27(2).[9] 蒋天颖.我国区域创新差异时空格局演化及其影响因素分析[J].经济地理,2013,33(6):22-29.[10] 宋旭光,赵雨涵.中国区域创新空间关联及其影响因素研究[J].数量经济技术经济研究,2018,35(7):22-40.[11] 谢伟伟,邓宏兵,刘欢.绿色发展视角下长三角城市群城市创新网络结构特征研究[J].科技进步与对策,2017,34(17):52-59.[12] 张景帅,唐根年.基于社会网络分析的浙江省县域创新网络特征研究[J].科技管理研究,2020,40(2):123-129.[13] 刘刚,杨蕾,刘程军.创新活度的空间分异特征及其门槛效应——以长江经济带为例[J].华东经济管理,2017,31(1):51-59.[14] 毛显强,鱼京善,郭秀锐,等.生态活度生态位——理论、方法及其应用[J].中国人口·资源与环境,2005(5):125-129.[15] 张古鹏,陈向东.基于专利的中外新兴产业创新质量差异研究[J].科学学研究,2011,29(12):1813-1820.[16] 王钰,纪巧玲,刘庆凯,等.基于综合赋权法的港口物流竞争力评价[J].山东科技大学学报(自然科学版),2019,38(5):113-120.[17] 李琳,牛婷玉.基于SNA的区域创新产出空间关联网络结构演变[J].经济地理,2017,37(9):19-25+61.[18] 刘军.整体网分析讲义——ucinet软件实用指南[M].上海:格致出版社,2009:107.[19] 刘军.社会网络分析导论[M].北京:社会科学文献出版社,2004:137-138.[20] 王方方,杨焕焕.粤港澳大湾区城市群空间经济网络结构及其影响因素研究——基于网络分析法[J].华南师范大学学报(社会科学版),2018(4):110-120+191.[21] 蒙大斌,张诚,李宁.空间交易成本对创新网络空间拓扑的影响研究——以京津冀医药产业为例[J].软科学,2019,33(11):22-28. |
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