Spatio-temporal evolution and influencing factors of coupling coordination between urban resilience and high-quality development in Yangtze River Delta Area, China

Abstract

The coordination relationship between urban resilience and high-quality development is of paramount importance for improving disaster-alleviated resilient governance and sustainable development in response to the globalized crisis. However, few studies have investigated the coupling between urban resilience and high-quality development. Therefore, based on the analysis of the coupling and coordination mechanism between urban resilience and high-quality development, this paper innovatively calculates the indicators of urban resilience and high-quality development of 41 cities in the Yangtze River Delta Area (YRDA) from 2005 to 2020. Moreover, we explore the spatiotemporal patterns, evolution characteristics of the coupling coordination degree (CCD) between urban resilience and high-quality development using the entropy method, coupling coordination model, kernel density estimation curve, and further analyze the influence factors with the spatial econometric models. The results revealed that urban resilience maintained a steady growth, while high-quality development displayed a trend of an initial increase and a subsequent decline. The coupling coordination degree continued to rise and the regional difference decreased conspicuously, manifesting a robust developing trend. From the perspective of spatial patterns, the coupling coordination degree, which was characterized by “being high in the east and low in the west, tended to be balanced in the north and south and was prominent in the middle of the distribution.” Furthermore, economic strength, industrial structure, transportation facilities, and government intervention exerted a dominant influence on the development of coupling coordination degree, resulting in the spatial spillover effects as well. This study can reveal the interactive relationship between urban resilience and high-quality development can as well as help Yangtze River Delta Area provide a benchmark for promoting economic and social development while focusing on prevention and control of risk.

Regional differences and dynamic evolution of high-quality development in service industry: A case study of the Chengdu-Chongqing economic circle

“…Some preliminary studies have shown that the imbalance of high-quality development in service industry is prominent [3,14], with agglomeration effects [31][32][33]. The Yangtze River Delta region shows an inverted 'U' shape of high-quality development, with significant regional differences [34,35]. These literatures make certain contribution to the field, with methods focusing on entropy weighting [36,37], Durbin model [34,38], Moran's index [5,39].…”

“…The Yangtze River Delta region shows an inverted 'U' shape of high-quality development, with significant regional differences [34,35]. These literatures make certain contribution to the field, with methods focusing on entropy weighting [36,37], Durbin model [34,38], Moran's index [5,39]. Although these methods can reflect the level of highquality development more accurately, they focus more on correlation analysis [40], and it is difficult to reflect the agglomeration effect and transfer regulations.…”

“…High-quality development has regional differences [4,34,41] and there is an agglomeration and re-expansion effect in the service industry [6,42]. However, previous studies have usually explored these two in isolation, and the accuracy of the studies needs to be improved.…”

Spatial spillover and threshold effect of green development efficiency on urban human settlement resilience in Yangtze River Delta urban agglomeration

“…Robustness Tests. In order to test the validity of the estimation results, two types of robustness tests were conducted: replacement of the spatial weight matrix and sub-sample regression [ 55 ]. Firstly, the economic weight matrix and the economic geographic weight matrix were used as replacements for the spatial weight matrix, and the Separate regressions were performed to compare whether there were significant changes in the results.…”

Spatiotemporal Distributions of Multiple Land Use Functions and Their Coupling Coordination Degree in the Yangtze River Delta Urban Agglomeration, China

“…The kernel density estimation curve can portray the distribution pattern, location, and extension of the random variables, so it can be used to examine the time-series evolutionary variation characteristics of the coupling coordination degree of LUFs. In addition, the trend surface can be used to fit a mathematical surface to illustrate the spatial trends and distribution patterns of the observed values of geographic elements over a large spatial span, which will then be used to further analyze the overall spatial divergence trends of the coupling coordination within the study area [32].…”