Is Urban Sprawl Decoupled from the Quality of Economic Growth? Evidence from Chinese Cities

Lu, Xinhai; Chen, Danling; Wang, Yue

doi:10.3390/su12010218

Cited by 11 publications

(3 citation statements)

References 38 publications

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“…Both mega urbanizations have industrial and post-industrial functions, with a heavy presence of manufacturing companies, in machinery, automotive and ICT, as well as advanced and cultural services, particularly in the major centers. Both areas share a strong intermingling with agricultural activities and a wide progression of the sprawl [24][25][26][27].…”

Section: Why Italy (2)? the Spatial Point Of Viewmentioning

confidence: 99%

Why Italy First? Health, Geographical and Planning Aspects of the COVID-19 Outbreak

et al. 2020

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COVID-19 hit Italy in February 2020 after its outbreak in China at the beginning of January. Why was Italy first among the Western countries? What are the conditions that made Italy more vulnerable and the first target of this disease? What characteristics and diffusion patterns could be highlighted and hypothesized from its outbreak to the end of March 2020, after containment measures, including a national lockdown, were introduced? In this paper, we try to provide some answers to these questions, analyzing the issue from medical, geographical and planning points of view. With reference to the Italian case, we observed the phenomenon in terms of the spatial diffusion process and by observing the relation between the epidemic and various environmental elements. In particular, we started from a hypothesis of the comparable economic, geographical, climatic and environmental conditions of the areas of Wuhan (in the Hubei Province in China, where the epidemic broke out) and the Po Valley area (in Italy) where most cases and deaths were registered. Via an ecological approach, we compared the spatial distribution and pattern of COVID-19-related mortality in Italy with several geographical, environmental and socio-economic variables at a Provincial level, analyzing them by means of spatial analytical techniques such as LISA (Local Indicators of Spatial Association). Possible evidence arose relating to COVID-19 cases and Nitrogen-related pollutants and land take, particularly in the Po Valley area.

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Section: Why Italy (2)? the Spatial Point Of Viewmentioning

confidence: 99%

Why Italy First? Health, Geographical and Planning Aspects of the COVID-19 Outbreak

et al. 2020

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show abstract

“…Both mega urbanizations have industrial and post industrial functions, with a heavy presence of manufacturing companies, in machinery, automotive and ICT, as well as advanced and cultural services, particularly in the major centres. Both the areas share a strong promiscuity with agricultural activities and a wide progression of the sprawl [24] [25] [26] [27].…”

Section: Why Italy (2)? the Spatial Point Of Viewmentioning

confidence: 99%

Why Italy First? Health, Geographical and Planning aspects of the Covid-19 outbreak

Murgante

Borruso

Balletto

et al. 2020

Preprint

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The Covid-19 has hit Italy in February 2020 after its outbreak in China at the beginning of January. But why Italy first among Western countries? What are the conditions that made Italy more vulnerable and the first target of such disease? What characteristics and what diffusion patterns could be highlighted and hypothesized, from the outbreak to the end of March 2020, after containment measures - including a national lock down – were introduced? In this paper we try to provide some answers to these questions, analyzing the issue from the medical, geographical and planning points of view. In particular, we started from a hypothesis of very similar economic, geographical, climatic and environmental conditions of the areas of Wuhan – in Hubei Province in China, the outbreak of the epidemics – and the Po Valley area – in Italy – where most cases and deaths were registered. Adopting an ecological approach, we compared the spatial distribution and pattern of Covid-19-related mortality in Italy with several geographical, environmental and socio-economic variables at Provincial level, analyzing them by means of spatial analytical techniques as LISA – Local Indicators of Spatial Association. Possible evidence relating Covid-19 cases and Nitrogen-related pollutants and land take arise, particularly in the Po Valley area.

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“…According to the connotation of ULUE, cities with high economic efficiency of land use have better economic level conditions [26], but high ULUE does not necessarily indicate a better economic level [12,27,28]. In other words, ULUE and EDL are not always coordinated.…”

Section: Introductionmentioning

confidence: 99%

Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region

Tian

et al. 2022

Land

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Due to limited land resources, it is necessary to balance urban economic development and efficient land use. Clarifying the relationship between the two is crucial to improving both economic efficiency and land use efficiency. Considering the undesirable output of urban land use, this paper adopts a super efficiency SBM model to quantify the urban land use efficiency (ULUE) of the Beijing–Tianjin–Hebei (BTH) region from 1999 to 2019, and analyzes the relationship between ULUE and economic development level (EDL) by combining the Tapio model and the environmental Kuznets curve (EKC) model. The results show the following: (1) During the study period, the ULUE showed a fluctuating upward trend on the temporal scale, with the lowest and highest inflection points occurring in 2002 and 2018, respectively, and a distribution pattern of “high in the southeast and low in the northwest” on the spatial scale. (2) The decoupling relationship between ULUE and EDL showed repeated fluctuations between decoupling and coupling states on the temporal scale, but the overall showed a transition trend from decoupling state to coupling state. On the spatial scale, from north to south, there were a strong decoupling state (SDS), weak decoupling state (WDS), strong decoupling state (SDS), and weak decoupling state (WDS) in order, showing a regular interval repetition distribution pattern. (3) The relationship between ULUE and EDL showed an EKC “U-shaped” curve, that is, ULUE decreases first and then increases with the increases in EDL. The results of this study can provide a reference for the coordinated and sustainable development of the BTH region.

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Is Urban Sprawl Decoupled from the Quality of Economic Growth? Evidence from Chinese Cities

Cited by 11 publications

References 38 publications

Why Italy First? Health, Geographical and Planning Aspects of the COVID-19 Outbreak

Why Italy First? Health, Geographical and Planning Aspects of the COVID-19 Outbreak

Why Italy First? Health, Geographical and Planning aspects of the Covid-19 outbreak

Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region

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