弹性(材料科学)
脆弱性(计算)
心理弹性
星团(航天器)
比例(比率)
中国
经济地理学
经济
业务
经济增长
经济体制
计算机科学
地理
热力学
物理
心理学
计算机安全
考古
程序设计语言
心理治疗师
地图学
作者
Shulin Xu,Min Zhong,Yan Wang
标识
DOI:10.1016/j.eneco.2024.107544
摘要
Using data for 285 cities in China spanning the period from 2010 to 2019, we investigate the overall effect, heterogeneity, and mechanisms of industrial cluster development on urban economic resilience using the staggered difference-in-differences method (DID). Our study shows that innovative industrial clusters can improve local urban economic resilience and offer a cumulative learning effect, but increase economic vulnerability in neighboring cities. A heterogeneity analysis finds that piloting innovative industrial clusters has a more significant influence on economic resilience in more mature clusters, middle-labor-scale cities, areas with moderate economic development, and regions applying more artificial intelligence (AI) technology. An influencing mechanism analysis shows that piloting innovative industrial clusters mainly appears as a scale effect in the earlier stage of green finance development, while there is a network effect in the later stage, both of which promote economic resilience. This conclusion may serve as the foundation for more secure and sustainable growth in the global economy.
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