| 长三角地区城市投资联系水平的时空动态及影响因素 |
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| 引用本文： | 高鹏,何丹,宁越敏,韩明珑.长三角地区城市投资联系水平的时空动态及影响因素[J].地理研究,2021,40(10):2760-2799. |
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| 作者姓名： | 高鹏 何丹 宁越敏 韩明珑 |
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| 作者单位： | 1.上海师范大学全球城市研究院,上海 2002342.华东师范大学城市与区域科学学院,上海 2002413.华东师范大学中国现代城市研究中心,上海 2000624.华东师范大学中国行政区划研究中心,上海 200241 |
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| 基金项目： | 教育部人文社会科学重点研究基地重大项目(17JJD790007);上海市哲学社会科学项目(2021WQQ001);华东师范大学2019年优秀博士研究生学术能力提升项目(YBNLTS2019-032) |
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| 摘 要： | 基于2003—2018年企业股权关联投资数据,融合社会网络分析、马尔可夫链分析和空间计量方法,从全球、全国和区域尺度探析长三角地区城市投资联系水平的时空动态特征及影响因素。研究发现：① 长三角地区各尺度的城际投资规模大幅提升,与关境外地区、关境内地区和长三角区域内的投资联系分别呈现服务业驱动型、制造业驱动型和行业均衡型特征。② 各尺度城市投资网络呈现区域指向性和多中心演化特征,上海、杭州、南京等在长三角地区逐渐发挥对外辐合全球和全国投资、对长三角地区内部辐射区域的作用。③ 与关境外、关境内和区域内的城市投资联系水平空间分布不均,以沪宁合杭甬发展廊道为支撑的空间结构逐渐凸显,并分别呈现低水平区集中连片分布、改善空间先沿海后内陆扩张、中低水平区广域化扩张的突出特征。④ 城市投资联系水平整体呈现向邻近较高水平方向转移态势,很难实现跨越式转移,存在显著的俱乐部趋同效应和马太效应。随着空间尺度的扩大,向较高水平方向转移的难度随之增大,俱乐部趋同效应和马太效应也随之增强。地理空间格局在各尺度的城市投资联系水平状态转移中发挥着重要作用,发展水平较高和较低的城市对周边城市分别产生正向和负向的空间溢出效应。⑤ 产业基础、劳动力成本、城市行政级别对各尺度的城市投资联系水平均有显著影响,创新能力对各尺度的城市投资联系水平均未产生显著影响,时间距离对全球和全国尺度的城市投资联系水平影响显著,经济全球化仅对全球尺度的城市投资联系水平产生显著影响。
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| 关 键 词： | 企业股权关联投资 城市投资联系水平 多尺度分析 时空动态 影响因素 长三角地区 |
| 收稿时间： | 2020-05-25 |
| 修稿时间： | 2021-04-18 |
Spatio-temporal dynamics and factors of urban investment linkage level in the Yangtze River Delta |
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| GAO Peng,HE Dan,NING Yuemin,HAN Minglong.Spatio-temporal dynamics and factors of urban investment linkage level in the Yangtze River Delta[J].Geographical Research,2021,40(10):2760-2799. |
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| Authors: | GAO Peng HE Dan NING Yuemin HAN Minglong |
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| Institution: | 1. Shanghai Institute for Global City, Shanghai Normal University, Shanghai 200234, China2. School of Urban & Regional Science, East China Normal University, Shanghai 200241, China3. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China4. Research Center for China Administrative Division, East China Normal University, Shanghai 200241, China |
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| Abstract: | Based on corporate equity connection investment data among cities during 2003-2018, this study investigates the urban investment linkage level in the Yangtze River Delta (YRD), aiming to explore spatio-temporal dynamics of urban investment linkage level in this region at global(outside the Chinese customs territory), national(within the Chinese customs territory), and regional scales by the social network analysis and Markov chain methods. The spatial panel data econometric model further reveals the factors of urban investment linkage level. The results of the study are as follows: (1) The amount of intercity investment in the YRD has dramatically increased, and the industry structure of investment at the global, national, and regional scales are characterized by service-driven, manufacturing-driven, and industry-equilibrium types, respectively. (2) The urban investment network shows the characteristics of regional orientation and polycentric evolution. Cities such as Shanghai, Hangzhou and Nanjing are playing an increasingly important role of converging the global and national investment, and radiating the region internally in the YRD. (3) The spatial distribution of urban investment linkages is uneven at global, national and regional scales, showing that the spatial structure supported by the Shanghai-Nanjing-Hefei-Hangzhou-Ningbo development corridor is gradually highlighted. The global, national, and regional levels of urban investment linkage present the outstanding characteristics of continuous distribution of low-level areas, first coastal and then inland expansion of improved spaces, and wide-area expansion of medium- and low-level areas. (4) The urban investment linkage level tends to shift to the adjacent higher level, and it is difficult to realize the leap forward transfer. There are significant club convergence effects and Matthew effects. With the expansion of spatial scale, the difficulty of transferring to a higher level will increase, and the club convergence effect and Matthew effect will also increase. The geographical spatial pattern plays an essential role in the transfer of the level of urban investment linkage at all scales. The higher- and lower-level cities have positive and negative spatial spillover effects on the surrounding cities, respectively. (5) Industrial base, labor cost and urban administrative level all have a significant impact on the urban investment linkage level at all scales, while innovation capacity has no significant impact on it. Time distance from Shanghai has a significant impact on the urban investment linkage level at global and national scales. Economic globalization only affects urban investment linkage level at global scale. |
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| Keywords: | corporate equity connection investment urban investment linkage level multi-scale analysis spatio-temporal dynamics factors Yangtze River Delta |
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