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The Spillover Effects and Collaborative Development of Regional Innovation Ecosystem of Yangtze River Delta Under the "Dual Circulation" Pattern |
Zhang Jian1,Huang Kun2,Hu Yuexin1 |
(1.School of Business,East China University of Science and Technology, Shanghai 200237, China;2.School of Economics and Management, Shanghai Maritime University,Shanghai 201306, China) |
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Abstract The Chinese government affirms that innovation has become the primary driving force and collaboration is an endogenous feature.At present, the high-quality integration of the Yangtze River Delta has been accelerated. It is urgent to promote greater openness and sharing through collaborative innovation to form the positive circle of a large domestic unified market. On this premise, the free, orderly, safe and convenient flow of essential factors would be promoted across borders and regions,the domestic and international markets would be promoted in better connectivity, and a collaborative model of mutual promotion of domestic and international dual circulation could be formed. A beneficial exploration of RIE collaborative development and its spillover effects in the Yangtze River Delta has been made in the existing research. However resource acquisition and utilization ability, the relationship competition and cooperation in RIE are ignored, which makes it unable to systematically explain the disequilibrium development in RIE; the existing research is inadequate in the visual analysis methods to present the collaborative development trend of regional sci-tech innovation,that is,space extension, gradient layout and dislocation development in the Yangtze River Delta RIE; the panel data of 27 cities in the central area of the Yangtze River Delta (abbrev. as 27 cities) is not mentioned, and the spillover effect of RIE collaborative development and its influencing factors in the development process of Yangtze River Delta community of sci-tech innovation are not explored.#br#Thus,from the perspective of RIE, this study takes 27 cities in the central area of the Yangtze River Delta as the research objects, and analyzes the trend of regional innovation integration and collaborative development, spillover effect and its influencing factors of RIE in the Yangtze River Delta. Firstly, it conducts a principal component analysis on the components of RIE. Secondly, with the scientific, comprehensive and data availability principles, the ecological niche evaluation index system of RIE collaborative development in the Yangtze River Delta under the dual circulation pattern is built from the perspective of the joint action of innovation community and environmental community.Thirdly,the niche model and fixed effect model of SDM are constructed. With the relevant statistical data of collaborative innovation in the Yangtze River Delta region during 2012-2020,visualization methods are used to deeply analyze niche width, suitability, momentum and overlap. Furthermore, the overall trend, regional differences and spatial agglomeration of the collaborative sci-tech development, and its spillover effect and influencing factors in the 27-city region are comprehensively analyzed to improve the development level of the Yangtze River Delta urban agglomeration during the "14th Five-Year Plan", and promote the collaborative and common progress of the Yangtze River Delta community of sci-tech innovation.#br#The medium and high-value areas of RIE niche suitability in the Yangtze River Delta present the trend of spatial agglomeration diverging from coastal to inland areas, with the spatial distribution characteristics of "northwest-southeast" around the central area of the G60 S&T innovation valley to form a spatial pattern of "geese array".There is an innovation spatial correlation of RIE in the Yangtze River Delta. The positive spatial correlation has been increasing year by year and the spatial spillover effect of collaborative development is significant. Moreover, the human capital, financial development and constraints of carbon peaking and carbon neutrality goals bring great impact on the spatial spillover effect. There are significant direct effects and spatial spillover effects of R&D investment for industrial enterprises above designated size. In order to successfully build the Yangtze River Delta community of sci-tech innovation,the government should promote R&D investment of industrial enterprises above designated size in the 27 cities of central China so that they can play an important role in the spin-off effect and demonstration to other areas. This paper provides empirical support for the further policy promotion of regional community of sci-tech innovation and the collaborative development of sci-tech innovation in urban agglomeration.#br#
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Received: 09 November 2022
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[1] 习近平.推动形成优势互补高质量发展的区域经济布局[J].求是,2019,62(24):4-9. [2] 刘鹤.必须实现高质量发展[N].人民日报,2021-11-24(6). [3] DAVID BAUDRETSCHAF,MAKSIM,BELITSKIBC,et al.The dynamic contribution of innovation ecosystems to Schumpeterian firms:a multi-level analysis[J].Journal of Business Research,2022,144(1):975-986. [4] HENRY ETZKOWITZ,LOET LEYDESDORFF. The dynamics of innovation: from national systems and "Mode 2" to a Triple Helix of university–industry–government relations[J].Research Policy,2000,29(2):109-123. [5] ASHISH MALIK,PIYUSH SHARMA,et al.From regional innovation systems to global innovation hubs: evidence of a Quadruple Helix from an emerging economy[J].Journal of Business Research,2021,128(1-2):587-598. [6] ANDREA A MINEIRO,T A DE SOUZA,C CARVALHO DE CASTRO.The quadruple and quintuple helix in innovation environments(incubators and science and technology parks)[J].Innovation & Management Review,2021,18(3):292-307. [7] BOUNCKEN J GAST,S KRAUS,et al.Coopetition: a systematic review, synthesis and future research directions [J].Review of Managerial Science,2015,9(3):577-601. [8] ROBERTSON J, CARUANA A, FERREIRA C. Innovation performance: the effect of knowledge-based dynamic capabilities in cross-country innovation ecosystems[J].International Business Review,2021,41:101866. [9] OVE GRANSTRAND,MARCUS HOLGERSSON.Innovation ecosystems:a conceptual review and a new definition[J].Technovation,2020,90-91(February-March):102098. [10] 张玉明.共享创新[M].北京: 科学出版社,2021. [11] 江小涓.坚持科技创新开放合作,提升技术创新和供给能力[J].全球化,2022,12(4):118-120. [12] 黄鲁成.基于生态学的技术创新行为研究[M].北京:科学出版社,2007. [13] 王寅,袁月英,孙毅,等.基于探索、开发的区域创新生态系统评价与动态演化研究[J].中国科技论坛,2021,37(3):143-153. [14] 黄振羽.基于大科学设施的创新生态系统建设—“雨林模型”与演化交易成本视角[J].科技进步与对策,2019 ,36(19):9-16. [15] 张贵,姜兴,蔡盈.区域与城市创新生态系统的理论演进及热点前沿[J].经济与管理,2022,36(4):36-45. [16] 解学梅,刘晓杰.区域创新生态系统生态位适宜度评价与预测—基于2009-2018中国30个省市数据实证研究[J].科学学研究,2021,39(9):1706-1719. [17] 刘和东,陈洁.创新系统生态位适宜度与经济高质量发展关系研究[J].科技进步与对策,2021,38(11):1-9. [18] 王振,卢晓菲.长三角城市群科技创新驱动力的空间分布与分层特征[J].上海经济研究,2018,35(10):71-81,93. [19] 李博雅.长三角城市群空间结构演化与溢出效应研究[J].宏观经济研究,2020,66(5):68-81. [20] 王建民,杨力.长三角创新要素、配置效率与创新绩效[J].上海经济研究,2020,37(1):75-85. [21] 张宓之,高鋆,胡曙虹.创新要素集聚、空间溢出效应与区域企业群发展[J].创新科技,2020,20(11):17-24. [22] 叶堂林,李国梁.区域一体化战略能有效提升创新扩散环节溢出效应吗——以京津冀城市群为例[J].科技进步与对策,2022,39(16):77-86.
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