Spatial spillover effect of urban resilience on tourism economy: A case study of the Yangtze River Delta urban agglomeration

FANG, Yelin; SU, Xueqing; Huang, Zhiyu; CHENG, Xuelan

doi:10.18306/dlkxjz.2022.02.003

Cited by 13 publications

(11 citation statements)

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“…Previous studies have shown that there are complex spatial and temporal dynamics underlying the resilience of urban infrastructure, as evidenced by the exploration of its spatial and temporal divergence [6,[18][19][20][21][22][23][24][25][26][27][29][30][31][32][33][34][35]. However, was a spatial spillover effect of UIR observed?…”

Section: Comparison With Previous Studiesmentioning

confidence: 99%

“…The study of external coupling of UIR systems is also a hot topic, with Zhou and Bai et al investigating the coupling and coordination of infrastructure resilience systems with urbanization levels and land use efficiency, respectively [24,25]. The scale of research on UIR covers the whole country [26][27][28], cities [6,18,23,29,30], and urban agglomerations [31][32][33][34], etc. The quantitative assessment methods mainly involve entropy weight method [18,19,23,32,33], hierarchical analysis [27,28], and factor analysis [35], and system function curve methods [36][37][38], etc.…”

Section: Introductionmentioning

confidence: 99%

“…The scale of research on UIR covers the whole country [26][27][28], cities [6,18,23,29,30], and urban agglomerations [31][32][33][34], etc. The quantitative assessment methods mainly involve entropy weight method [18,19,23,32,33], hierarchical analysis [27,28], and factor analysis [35], and system function curve methods [36][37][38], etc.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China

et al. 2023

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Urban infrastructure resilience is an important perspective for measuring the development quality of resilient cities and an important way to measure the level of infrastructure development. This paper uses the kernel density estimation, exploratory spatial data analysis, and spatial econometric models to analyze the characteristics of dynamic evolution and the spillover effects of the infrastructure resilience levels in 283 prefecture-level and above cities in China from 2010 to 2019. Our results are as follows. (1) The overall level of urban infrastructure resilience increased. The eastern region had a higher level than the national average. In contrast, the central, western and north-eastern regions had a slightly lower level than the national average. (2) The areas with high and higher resilience levels were mostly cities with more developed economic and social conditions in Eastern China. The areas below moderate resilience levels show a certain degree of clustering and mainly include some cities in Central, Western, and Northeast China. (3) The national level of urban infrastructure resilience shows significant spatial clustering characteristics, and the spatial pattern from coastal to inland regions presents a hotspot-subhotspot-subcoldspot-coldspot distribution. (4) There is a differential spatial spillover effect of national urban infrastructure resilience, which is gradually strengthened under the role of the economy, financial development, population agglomeration and government funding and weakened under the role of urbanization, market consumption and infrastructure investment. By exploring the dynamic evolution of infrastructure resilience in cities at the prefecture level and above and its spatial spillover effects, we provide a scientific basis for avoiding the siphoning effect among cities, improving the level of infrastructure resilience, and guiding the construction and development of resilient cities.

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Section: Comparison With Previous Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China

et al. 2023

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“…Conversely, others thought regional spatial structure changes affect the tourism economy (e.g. Fang et al, 2021).…”

Section: Urban Centrality and The Development Of The Tourism Economymentioning

confidence: 99%

Determinant of the tourism economy in Chinese cities: from an urban centrality perspective

Chen

2022

Tourism Economics

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This paper aims to analyze and explain how urban centrality influences tourism development in a city. Based on the panel data of 295 prefecture-level cities in China from 2005 to 2018, the paper develops explanatory mechanisms and discusses the influence theoretically and empirically. To advance the analysis, this paper constructs a new index for urban centrality. Our empirical findings are as follows: (1) urban centrality promotes tourism income significantly. (2) Mechanism analysis illustrates that urban centrality fosters tourism through the agglomeration and industrial structure effects. (3) Heterogenous analysis suggests that the influence of urban centrality on tourism varies with city sizes and locations.

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“…In 2007, the Resilience Alliance proposed the concept of urban resilience, specifically including urban facilities and the urban environment, metabolic flows, governance networks, and social dimensions [3]. At present, research on urban resilience focuses mostly on issues such as socioeconomic resilience, spatial planning, urban clusters, and urban governance [4][5][6], and panel models, system coupling, comprehensive evaluation, network analysis, and other methods are used to perform conceptual analyses of urban resilience, spatiotemporal evolution, influencing factors, and formation mechanisms [7][8][9]. Most studies have focused on the developmental characteristics of regional urban resilience and the evolution of its industrial structure.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Evolution and Cause Analysis of Urban Housing Investment Resilience: An Empirical Study of 35 Large and Medium-Sized Cities in China

Wang

et al. 2022

Land

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In this study, we explore the evolution and formation mechanism of urban housing investment resilience from three perspectives: theoretical analysis, model construction, and empirical testing. Based on the three-element theory of investment decision making and urban resilience system theory, a theoretical framework of urban housing investment resilience is constructed. Spatiotemporal analysis and qualitative comparison methods are used to divide 35 large and medium-sized cities into two categories, first-tier and non-first-tier cities, and their spatiotemporal characteristics and differences in terms of formation mechanism differences then explored. The results show that (1) the overall housing investment resilience of the 35 investigated cities is low, with the characteristics of periodic evolution, and there are obvious differences between the first-tier and non-first-tier cities as well as unbalanced development problems. (2) The three internal investment decision factors of returns, costs, and expectations and the five external support factors of economic growth, infrastructure development, labor market, policy regulation, and monetary policy do not, by themselves, constitute the necessary conditions for high levels of urban housing investment resilience, and there are three paths for the development of high levels of housing investment resilience in both first-tier and non-first-tier cities. (3) The twos types of cities have the same conformational path of "return- and cost-driven" but different dedicated conformational paths, including "cost-driven", "expectation- driven", and "return- and expectation-driven", and the core conditions in their driving paths are different, with real estate policy being the core condition in the path of first-tier cities and infrastructure development and labor markets being the core conditions in the path of non-first-tier cities. (4) There is a potential substitution relationship between the three configuration paths of first-tier and non-first-tier cities, and the substitution relationship between the two types of cities is also different. The findings of this study reveal that the complex interaction between the urban resilience system, represented by infrastructure construction, and multiple factors, including the three elements of investment, can have an impact on the resilience of real estate investment.

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Spatial spillover effect of urban resilience on tourism economy: A case study of the Yangtze River Delta urban agglomeration

Cited by 13 publications

References 0 publications

Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China

Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China

Determinant of the tourism economy in Chinese cities: from an urban centrality perspective

Spatiotemporal Evolution and Cause Analysis of Urban Housing Investment Resilience: An Empirical Study of 35 Large and Medium-Sized Cities in China

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