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The Innovation Driving Effect of Knowledge-Intensive Business Service Agglomeration, High-Tech Manufacturing Agglomeration and Co-Agglomeration of the Two |
Li Fuzhu,Li Qian |
(School of Economics, Ocean University of China, Qingdao 266100, China) |
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Abstract Knowledge-intensive business service agglomeration, high-tech manufacturing agglome ration and co-agglomeration of the two can drive economic development and green development by promoting innovation. This paper empirically tests the differences in the level of innovation driving effect of the three types of agglomeration in economic development and green development using the mediating effect model, the research results show that knowledge-intensive business service agglomeration can drive economic development, but not have an significant driving effect on green development, the innovation has not shown significant mediating effect in the process of its agglomeration driving economic development and green development; high-tech manufacturing agglomeration has been capable of driving economic development and green development, and the mediating effect of innovation in these process are significant ; comparing with single industrial agglomeration, the co-agglomeration of the two has a stronger positive driving effect on economic development and green development, and the mediating effect of innovation in these process are also stronger. According to the results, three policy suggestions are proposed to accelerate innovation-driven development.
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Received: 08 May 2019
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[1] 魏江,陶颜,王琳.知识密集型服务业的概念与分类研究[J].中国软科学, 2007, (1): 33-41.[2] HAUKNES J. Services in innovation-innovation in services [R]. Oslo: Step Group, 1998.[3] MAS-VERD F, WENSLEY A, AlBA M, et al. How much does KIBS contribute to the generation and diffusion of innovation [J]. Service Business, 2011, 5(3):195-212.[4] 郑兵云.知识密集型服务业科技创新传导实证研究[J].软科学,2018(2):16-19.[5] BEAUDRY C, BRESCHI S. Are firms in clusters really more innovative[J]. Economics of Innovation and New Technology, 2003, 12(4):325-342.[6] 杨浩昌,李廉水,刘军.高技术产业聚集对技术创新的影响及区域比较[J].科学学研究,2016(2):212-219.[7] 时省,赵定涛,洪进,等.集聚视角下知识密集型服务业对区域创新的影响研究[J].科学学与科学技术管理, 2013(12):167-174.[8] 张长征,黄德春,马昭洁.产业集聚与产业创新效率:金融市场的联结和推动——以高新技术产业集聚和创新为例[J].产业经济研究,2012(6):17- 25.[9] 李源.广东科技创新对经济增长的驱动效应研究[J].南方经济,2016(11): 125-132.[10] SUAREZ-VILLA L. Invention, inventive learning and innovative capacity [J].Behavioral Science, 1990, 35(4): 290-310.[11] WANG E C. R&D efficiency and economic performance: a cross-country analysis using the stochastic frontier approach [J]. Journal of Policy Modeling, 2007, 29(2):345-360.[12] FISHER-VANDEN K,JEFFERSON G H, MA J, et al. Technology development and energy productivity in china[J].Energy Economics,2006,28(5-6):690-705.[13] GARBACCIO R F, HO M S, JORGENSON D W.Why has the energy-output ratio fallen in china [J]. The Energy Journal, 1999, 20(3):63-91.[14] WOOD P. Urban development and knowledge-intensive business services: too many unanswered questions[J].Growth and Change, 2006, 37(3):335-361.[15] 刘沛罡,王海军.高技术产业内部结构多样化、专业化与经济增长动力——基于省域高技术产业制造业、高技术产业服务业面板数据的实证分析[J].产业经济研究, 2016(6):46-56.[16] 李思慧.产业集聚、人力资本与企业能源效率——以高新技术企业为例[J].财贸经济, 2011(9): 128-134.[17] 黄群慧. “新常态”、工业化后期与工业增长新动力[J].中国工业经济,2014 (10): 5-19.[18] ASHEIM B T, ISAKSEN A. Regional innovation systems: the integration of local 'sticky' and global 'ubiquitous' knowledge [J].Journal of Technology Transfer, 2002, 27(1):77-86.[19] 洪银兴.论创新驱动经济发展战略[J].经济学家,2013(1):5-11.[20] 尚勇敏,曾刚.科技创新推动区域经济发展模式转型:作用和机制[J].地理研究,2017(12): 2279-2290.[21] BARON R M, KENNY D A. The moderator-mediator variable distinction in social psychological research: co- nceptual, strategic, and statistical considerations[J].Journal of Personality and Social Psychology, 1986, 51(6): 1173-1182.[22] ELLISON G, GLAESER E L, KERR W R. What causes industry agglomeration? evidence from coagglome ration patterns [J]. American Economic Review, 2007, 100(3):1195-1213.[23] 张虎,韩爱华,杨青龙.中国制造业与生产性服务业协同集聚的空间效应分析[J].数量经济技术经济研究, 2017(2):3-20.[24] 刘志彪.从后发到先发:关于实施创新驱动战略的理论思考[J].产业经济研究,2011(4):1-7.[25] 陈强.高级计量经济学及stata应用(第二版)[M].北京:高等教育出版社,2014.[26] SOBEL M E. Asymptotic confidence intervals for indirect effects in structural equation models[J]. Sociological Methodology, 1982, 13(13):290-312. |
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