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Abstract
ABSTRACT In recent years, regional economic resilience has become a promising research field in academia. As a metaphor, regional economic resilience has witnessed a theoretical progress from an equilibrium perspective to the adaptive and evolutionary perspective. Recently, some literature has begun to discuss the spatial spillover effects of regional economic resilience. Following this vein, we compare the spatial patterns of China’s regional economic resilience with respect to a geographic network as well as an economic network. Taking the financial crisis as an example, we implement spatial Markov chains to derive the spatial transition matrices of regional economic resilience. Moreover, we use network-based methods to identify the role of network node degree on regional economic resilience. In particular, we figure out that regions with higher node degree in intercity investment networks tend to be less resilient to the global financial crisis, while they also have more significant negative spillover effects on neighbouring regions as well as investment partners. Our findings not only add to the network perspective of regional economic resilience but also offer constructive suggestions for city governors and planners.
Published Version
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