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出 处:《浙江金融》2018年第3期68-75,61,共9页Zhejiang Finance
基 金:2017年国家自然科学基金项目"多尺度空间视角下城市群的城镇化发展对碳排放的作用机理及其减排路径研究:以长三角为例"(71673270)成果
摘 要:综合运用因子分析法、中介效应模型和脉冲响应函数实证研究长三角沪宁杭苏四市金融产业集聚对经济增长的作用路径及效应差异,结果表明:金融集聚对经济增长具有直接效应;外部规模经济、网络效应和技术创新起到部分中介效应,个别中介效应分别占总效应的39.75%、28.06%、32.19%;上海金融集聚对南京和苏州起到辐射效应,对杭州以极化效应为主;短期内,南京对杭州和苏州表现为极化效应和涓流效应,长期则分别以涓流效应和极化效应为主;杭州短期内能够积极推动苏州的金融发展但长期具有极化效应。Using factor analysis method, the mediating effect model and impulse response function Empirical Study on Yangtze River Delta Shanghai Nanjing Hangzhou and Su four City financial industry agglomeration effect on the path difference and the effect of economic growth.It shows that: the financial agglomeration has a direct effect on economic growth; External economies of scale, network effects and technology innovation play partial mediating effect, individual intermediary effect respectively of the total effect of the 39.75%, 28.06% and 32.19%; Shanghai financial agglomeration to radiation effects on Nanjing and Suzhou, to Hangzhou to the polarization effect in the short term, Nanjing; to Hangzhou and Suzhou for polarization and trickle down effect, long-term respectively to trickle effect and polarization effect; in the short term,Hangzhou can be positive to promote the financial development of Suzhou, but has long been the polarization effect.
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