|
|
Research on the Spatiotemporal Evolution and Ecological Governance of Regional Science and Technology Resource Synergy |
Gao Sipeng,Jiang Hong,Zhang Xu |
(School of Management,Jilin University,Changchun 130022,China) |
|
|
Abstract Science and technology resources are important strategic resources.The lack of regional science and technology resources and low degree of synergy seriously restrict the rapid development of regional technology and economy.Therefore,how to promote the synergy and sharing of regional science and technology resources,and promote the co-governance and co-development of all innovative subjects is an important issue of common concern to the government and the academic community.Uses the science and technology statistics of Heilongjiang and Jilin province from 2008 to 2017,and uses the composite system synergy model to measure the current situation and future trend of synergy degree of the science and technology resources of the Harbin-Changchun urban agglomerations.Combined with ecological theory and ecological management methods,the ecological management mechanism of regional scientific and technology resources is designed.The research finds that: During these ten years the overall synergy degree of the science and technology resources composite system showed an upward trend,but the growth trend was flat.The synergy degree of the composite system in 2009-2011 and 2013 was in a state of low coordination,and the others belonged to the general coordination state.Moreover,it is found through the prediction that the collaboration degree of the science and technology resource composite system in 2008-2022 shows an overall upward trend,but it is still in the general collaboration state.Around the ecological environment of scientific and technology development,the coordinated of regional space,the scientific and technology resource sharing service platform,and the cooperation of industry with university and research,to promote the rapid development of regional science and technology.
|
Received: 12 May 2020
|
|
|
|
|
[1] 范斐,杜德斌,李恒.区域科技资源配置效率及比较优势分析[J].科学学研究,2012,30(8): 1198-1205.[2] 贾君枝,陈瑞.共享经济下科技资源共享模式优化[J].情报理论与实践,2018,41(3): 6-10.[3] 刘佐菁,陈杰.科技资源配置水平评价及区域差异研究[J].科技管理研究,2019 (11): 93-100.[4] 凌峰,戚湧.基于聚类与对应分析的江苏科技资源配置现状研究[J].科技进步与对策,2019 ,36(10): 41-48.[5] CUMMINGS J N.Work groups,structural diversity,and knowledge sharing in a global organization[J].Management Science,2004,50(3): 352-364.[6] FARIA P D,LIMA F,SANTOS R.Cooperation in innovation activities: the importance of partners[J].Research Policy,2010,39(8): 1082-1092.[7] OKAMURO H,KATO M,HONJO Y.Determinants of R&D cooperation in Japanese start-ups[J].Research Policy,2011,40(5): 728-738.[8] 戴勇,胡明溥.产学研伙伴异质性对知识共享的影响及机制研究[J].科学学与科学技术管理,2016,37(6): 66-79.[9] ONGARO E.Coordination and institutional capacities in the implementation of the lisbon strategy: the research and innovation policy in Finland,France and Italy[J].Greece and Rome,2018,46(1): 19-26.[10] CRESPI G,KATZ J,OLIVARI J,et al.Innovation,natural resource-based activities and growth in emerging economies: the formation and role of knowledge-intensive service firms[J].Innovation and Development,2018,8(1): 79-101.[11] ANSOFF H I.Corporate strategy[M].New York: McGraw Hill,1965: 227-236.[12] 高舒锐,孟卫东.高技术制造业与科技服务业的复合协同系统创新研究[J].中国科技论坛,2019(9): 111-120.[13] MIOZZO M,DESYLLAS P,LEE H F,et al.Innovation collaboration and appropriability by knowledge-intensive business services firms[J].Research Policy,2016,45(7): 1337-1351.[14] WALSH J P,LEE Y N,NAGAOKA S.Openness and innovation in the US: collaboration form,idea generation and implementation[J].Research Policy,2016,45(8): 1660-1671.[15] 李虹,张希源.区域生态创新协同度及其影响因素研究[J].中国人口·资源与环境,2016,26(6): 43-51.[16] 张旺,刘平峰,周鑫.基于技术成就指数城市创新能力系统协同度研究——以北京市为例[J].北京邮电大学学报(社会科学版),2019,21(3): 62-70.[17] 杨玄酯,罗巍,唐震.三维视角下R&D人员投入—科技产出复合系统协同度实证研究[J].科技进步与对策,2018,35(10): 9-14.[18] 肖红军,李平.平台型企业社会责任的生态化治理[J].管理世界,2019,35(4): 126-150,202.[19] BADAWY M A.The keystone advantage: what the new dynamics of business ecosystems mean for strategy,innovation,and sustainability[J].Journal of Engineering & Technology Management,2008,24(3): 287-289.[20] 权玺,李斐飞.复杂性视域下平台媒体的生态化治理[J].西安交通大学学报(社会科学版),2019,39(5): 132-138.[21] 许强,丁帅,安景文.北京市科技创新系统演化协同度研究——基于复合系统协同度模型[J].企业经济,2017 (10): 134-140.[22] 李海超,盛亦隆.区域科技创新复合系统的协同度研究[J].科技管理研究,2018,38(21): 36-41.[23] 张运华,梁郁,吴洁,等.企业内部创新与产学研合作创新协同度模型及其应用研究[J].情报杂志,2018,37(2): 201-207,193.[24] 张鹏,陈培安.山东省科技创新资源空间分布与经济发展水平协同分析[J].技术与创新管理,2016 (3): 256-262.[25] 陈延斌,殷冠文,孙峰华.渤海跨海通道建设前后东北、华北及山东半岛之间经济关系格局的比较[J].经济地理,2019,39(10): 29-35.[26] 钱俊,王永波.几种统计软件建立ARIMA模型的应用比较[J].统计与决策,2018,34(16): 80-84.[27] 汤临佳,郑伟伟,池仁勇.智能制造创新生态系统的功能评价体系及治理机制[J].科研管理,2019,40(7): 97-105.[28] 钱丽,王文平,肖仁桥.共享投入关联视角下中国区域工业企业绿色创新效率差异研究[J].中国人口·资源与环境,2018,28(5): 27-39.[29] FISCHER D.Social networking sites in the aftermath of a crisis the enabling role for self-organization[C].Hawaii International Conference on System Sciences,2018.[30] 王玉冬,武川,王琳璐.高新技术企业创新资金运营生态化及其水平测度[J].中国软科学,2017(7): 101-115.[31] 金凤君,王姣娥,杨宇,等.东北地区创新发展的突破路径与对策研究[J].地理科学,2016,36(9): 1285-1292.[32] 刘国亮,张蒙,王雅薇,等.基于融知发酵理论的公共服务平台信息资源共享实现路径研究[J].情报理论与实践,2015,38(5): 130-134,144.[33] AMOROSO S.Multilevel heterogeneity of R&D cooperation and innovation determinants[J].Eurasian Business Review,2017,7(1): 1-28. |
|
|
|