A Comparative Study of the Resilience of Urban and Rural Areas under Climate Change

Abstract

The impact of climate change in recent years has caused considerable risks to both urban and rural systems. How to mitigate the damage caused by extreme weather events has attracted much attention from countries in recent years. However, most of the previous studies on resilience focused on either urban areas or rural areas, and failed to clearly identify the difference between urban and rural resilience. In fact, the exploration of the difference between the resilience characteristics of cities and villages under climate change can help to improve the planning strategy and the allocation of resources. In this study, the indicators of resilience were firstly built through a literature review, and then a Principal Component Analysis was conducted to construct an evaluation system involving indicators such as “greenland resilience”, “community age structure resilience”, “traditional knowledge resilience”, “infrastructure resilience” and “residents economic independence resilience”. Then the analysis of Local Indicators of Spatial Association showed some resilience abilities are concentrated in either urban or rural. Binary logistic regression was performed, and the results showed urban areas have more prominent abilities in infrastructure resilience (the coefficient value is 1.339), community age structure resilience (0.694), and greenland resilience (0.3), while rural areas are more prominent in terms of the residents economic independence resilience (−0.398) and traditional knowledge resilience (−0.422). It can be seen that urban areas rely more on the resilience of the socio-economic structure, while rural areas are more dependent on their own knowledge and economic independence. This result can be used as a reference for developing strategies to improve urban and rural resilience.

Constructing a Composite Disaster Resilience Index towards Natural Disasters in Mauritius

“…However, economic capital was not a primary driver of resilience in urban areas of Mauritius as reported in several other studies (Cutter et al, 2008;Cutter et al, 2016;Siebeneck et al, 2015). Instead, infrastructure and social characteristics were found to be most prominent in urban areas of Mauritius and these results were congruous with the findings of Su et al (2022). On the other hand, results showed that rural areas possessed prominent abilities in terms of community and economic capacities.…”

“…On the other hand, results showed that rural areas possessed prominent abilities in terms of community and economic capacities. A gradual change in urban household size from large to small with urbanisation, along with an improvement in education level of urban dwellers has also been highlighted by Su et al (2022). Ultimately, Suárez et al (2016) pointed out that social cohesion would enhance urban resilience as it would increase the communities' capacity to respond collectively to an imminent threat.…”

Urban–rural differences in associations among perceived stress, resilience and self‐care in Chinese older adults with multiple chronic conditions

“…This finding echoes the results of a recent comparative study investigating the resilience of urban and rural areas in the face of climate change adversity. Notably, the findings indicate that urban areas place greater reliance on the resilience of their socio‐economic structures, whereas rural areas depend more on their own knowledge and economic independence (Su et al., 2022). The results of our study indicate that the design of self‐care monitoring interventions should be customised to accommodate varying levels of resilience, with a particular emphasis on rural participants.…”

Metacoupling of Water Transfer: The Interaction of Ecological Environment in the Middle Route of China’s South-North Project

“…The cross-regional coupling relationship is more complex than the local coupling and requires a lot of resource integration. Metacoupling can find many research gaps and can conduct a comprehensive and in-depth analysis [ 17 , 53 ]. Therefore, the metacoupling framework can also be used for transnational and trans-regional research on ecosystem services, food trade, information dissemination, energy and species invasion.…”