Assessment of Cities’ Adaptation to Climate Change and Its Relationship with Urbanization in China

Xiaodong Pei, Jing Wu, Junbo Xue, Jincai Zhao, Changxin Liu and Yuan Tian
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Xiaodong Pei: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Jing Wu: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Junbo Xue: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Jincai Zhao: School of Business, Henan Normal University, Xinxiang 453007, China
Changxin Liu: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
Yuan Tian: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

Sustainability, 2022, vol. 14, issue 4, 1-26

Abstract: Global climate change has led to more frequent occurrences of extreme, dangerous events; therefore, it is urgent to enhance cities’ adaptation to climate change. Focusing on the impact of high temperature, low temperature, drought, and flooding, we established multi-dimensional assessment systems covering natural, economic, and social elements for cities’ climate change adaptations. Based on the assessment systems, studies on adaptation to climate change were conducted in 248 cities in China using the entropy weight method, coefficient of variation method, and exploratory spatial data analysis; with the help of geographically weighted regression (GWR), the relationships between four types of urbanization and cities’ adaptation to climate events were explored. The results showed the following: (1) High-administrative-level cities had higher adaptation than ordinary prefecture-level cities. (2) The differences in adaptation to the four types of climate events between cities within each of the seven regions in China presented significantly different spatial patterns. (3) Under the four types of climate events, the global spatial correlations of cities’ adaptations in China were positive. The agglomeration characteristics of adaptation were mainly H–H and L–L agglomerations. (4) When analyzing the impacts of four types of urbanization on cities’ adaptation to climate events, the fitting effects of GWR models were far better than those of OLS models. Population urbanization, economic urbanization, land urbanization, and industrial urbanization had different impacts on adaptation. Under the influence of social and economic development, the urbanization regression coefficients of different cities had significant spatial differences.

Keywords: adaptation; assessment system; climate change; GWR model; urbanization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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