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| 长三角城市群工业韧性的时空演变及影响因素研究 | |
| 引用本文： | 鲁飞宇,殷为华,刘楠楠.长三角城市群工业韧性的时空演变及影响因素研究[J].世界地理研究,2021,30(3):589-600. |
| 作者姓名： | 鲁飞宇 殷为华 刘楠楠 |
| 作者单位： | 华东师范大学中国现代城市研究中心，上海 200062 华东师范大学长江流域发展研究院，上海 200062 华东师范大学城市与区域科学学院，上海 200241 |
| 基金项目： | 教育部人文社科基地重大项目(16JJD790012);上海市政府决策咨询项目(2015-GR-06) |
| 摘 要： | 在世界经济不确定性日益增加的背景下，推进优化我国区域工业韧性演变格局和厘清工业韧性影响机制具有重要现实意义。本文以长三角城市群为例，在突变级数模型对工业韧性评价的基础上，利用核密度估计、泰尔熵指数和Tobit空间滞后面板模型，对长三角城市群工业韧性的时空演变特征及其影响因素进行探讨。研究发现：（1）长三角城市群工业韧性提升显著，总体上达到了中高韧性水平。长三角城市群工业韧性的内部差距不断缩小，但仍然存在不同空间尺度的“核心-边缘”分异格局。（2）综合实力较强的中心城市工业韧性具有显著的空间溢出效应。上海、杭州、南京、合肥及宁波等城市周边形成高水平工业韧性的集聚区。（3）工业结构是影响长三角城市群工业韧性的最主要因素。区域金融环境、政府公共服务以及区域外贸依存度均不同程度对工业韧性产生显著影响。 |
| 关 键 词： | 工业韧性 时空演变 影响因素 长三角城市群 |
| 收稿时间： | 2019-12-31 |
| 修稿时间： | 2020-03-08 |
The spatio-temporal evolution of industrial resilience and its driving factors in the Yangtze River Delta Urban Agglomeration |
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| Feiyu LU,Weihua YIN,Nannan LIU.The spatio-temporal evolution of industrial resilience and its driving factors in the Yangtze River Delta Urban Agglomeration[J].World Regional Studies,2021,30(3):589-600. | |
| Authors: | Feiyu LU Weihua YIN Nannan LIU |
| Institution: | The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China The Institute of the Yangtze Basin Development, East China Normal University, Shanghai 200062, China School of Urban & Regional Science, East China Normal University, Shanghai 200241, China |
| Abstract: | Industry is an important support for building the development strategic advantages of China in the future. Against the background of increasing uncertainty of the world economy, it is of urgent practical significance to improve the spatial-temporal evolution of industrial resilience development and clarify the impact mechanisms of industrial resilience. Based on the evaluation of industrial resilience by the catastrophe progression model, this paper discusses the spatio-temporal evolution characteristics and driving factors of industrial resilience in the Yangtze River Delta Urban Agglomeration (YRDUA) by using kernel density estimation, Theil entropy index and Tobit spatial lag panel regression model. The results show that:(1)The industrial resilience of most cities in the YRDUA has significantly improved, reaching the medium-high level on the whole. The regional gap of industrial resilience in the YRDUA is narrowing, but there still exists the multi-level 'core-periphery' differentiation pattern at the overall level and the inner metropolitan level.(2)The industrial resilience of central cities with strong comprehensive strength has a significant spatial spillover effect. Shanghai, Hangzhou, Nanjing, Hefei and Ningbo making close intra-industry connections with their neighboring cities have formed agglomeration of high-level industrial resilience.(3)Industrial structure is the main factor affecting the industrial resilience of the YRDUA. In addition, regional financial environment, government public services and regional dependence on foreign trade all have significant impacts on industrial resilience to varying degrees. |
| Keywords: | industrial resilience spatial-temporal evolution driving factors the Yangtze River Delta Urban Agglomeration |
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