Evaluation of ecological city and analysis of obstacle factors under the background of high-quality development: Taking cities in the Yellow River Basin as examples

Yu, Changming; Zhu, Meili; Lu, Junlin; Zhou, Qian; Ma, Wenbo

doi:10.1016/j.ecolind.2020.106771

Cited by 173 publications

(106 citation statements)

References 25 publications

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“…Ecological resilience refers to the extent to which natural resources and ecosystems can resolve crisis changes before they are reorganized and formed into new structures. It can be measured in terms of environmental pressure, governance ability and service ability [24].…”

Section: Variable Selectionmentioning

confidence: 99%

Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

Chen

Zhu

Zhou

et al. 2021

IJERPH

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Urban resilience in the context of COVID-19 epidemic refers to the ability of an urban system to resist, absorb, adapt and recover from danger in time to hedge its impact when confronted with external shocks such as epidemic, which is also a capability that must be strengthened for urban development in the context of normal epidemic. Based on the multi-dimensional perspective, entropy method and exploratory spatial data analysis (ESDA) are used to analyze the spatiotemporal evolution characteristics of urban resilience of 281 cities of China from 2011 to 2018, and MGWR model is used to discuss the driving factors affecting the development of urban resilience. It is found that: (1) The urban resilience and sub-resilience show a continuous decline in time, with no obvious sign of convergence, while the spatial agglomeration effect shows an increasing trend year by year. (2) The spatial heterogeneity of urban resilience is significant, with obvious distribution characteristics of “high in east and low in west”. Urban resilience in the east, the central and the west are quite different in terms of development structure and spatial correlation. The eastern region is dominated by the “three-core driving mode”, and the urban resilience shows a significant positive spatial correlation; the central area is a “rectangular structure”, which is also spatially positively correlated; The western region is a “pyramid structure” with significant negative spatial correlation. (3) The spatial heterogeneity of the driving factors is significant, and they have different impact scales on the urban resilience development. The market capacity is the largest impact intensity, while the infrastructure investment is the least impact intensity. On this basis, this paper explores the ways to improve urban resilience in China from different aspects, such as market, technology, finance and government.

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Section: Variable Selectionmentioning

confidence: 99%

Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

Chen

Zhu

Zhou

et al. 2021

IJERPH

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“…The urban resilience index system 1. In the process of urban development, urban ecology may face defect of sewage and garbage disposal system, and risk of gradually decreasing public green space and landscape, leading to overload of urban ecological system (Chen et al, 2020;Sliwa, 2017). In this paper, we adopt seven indicators, including industrial SO 2 emissions, industrial wastewater emissions, industrial smoke dust emissions (powder), harmless disposal rate of household garbage, industrial solid waste comprehensive utilization, built up area green coverage rate and greenbelt area per capita park, to monitor urban ecological resilience.…”

Section: Urban Resilience Evaluation Index Systemmentioning

confidence: 99%

Spatiotemporal evolution and spatial relevance of urban resilience: Evidence from cities of China

2021

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Based on 2012-2017 panel data of 282 China's cities, this paper uses the entropy method to calculate an urban resilience index, uses spatial cold-hot spots model to explore spatial characteristics of urban resilience, uses revised the gravity model to construct urban resilience spatial network characteristics, and uses the social network analysis method to analyze spatial network characteristics of urban resilience. The results show that: (1) Urban resilience of China's cities has been gradually improved, and there is a geographical aggregation effect, with significant changes in hot spots and insignificant changes in cold spots. (2) Urban resilience has obvious spatial correlation and linkage effects and strong temporal fluctuation. The cities with higher degree centrality and closeness centrality are consistent in spatial distribution, mostly located in Bohai Rim, Pan-Yangtze River Delta, Pearl River Delta and some central regions. The centrality obviously shows non-equilibrium in spatial distribution. The cities with high centrality are mostly provincial capitals. (3) The "club effect" has not yet been

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“…Ma et al [ 20 ] analyzed the high-quality development of China’s regional economy in different dimensions, and the results show that the high-quality development of China’s economy presents a non-equilibrium characteristic of decreasing regionally from the East to the Central regions and then to the West. Chen et al [ 21 ] used high-quality development and cities along the Yellow River Basin as the research objects, while also using the obstacle degree model to analyze the obstacles. They discussed the impact of the obstacles on the urban ecological level and proposed corresponding policy suggestions.…”

Section: Literature Reviewmentioning

confidence: 99%

Measurement of Coupling Coordination Degree and Spatio-Temporal Characteristics of the Social Economy and Ecological Environment in the Chengdu–Chongqing Urban Agglomeration under High-Quality Development

Wan

et al. 2021

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With rapid urbanization and industrialization, ecological disorders and environmental degradation have become serious, and the promotion of the coordinated development of the social economy and ecological environment is not only a pressing problem to be solved, but also an important step towards sustainable development. The coordinated development of the social economy and eco-environment is conducive to sustainable development. Considering the Chengdu–Chongqing urban agglomeration as a case study, this paper adopts panel data and establishes an index system to evaluate the coupling coordination degree (CCD) between the social economy and ecological environment based on the concept of high-quality development. From the perspective of time and space, the changing laws and characteristics of the CCD are analyzed, and the key factors affecting it are determined using regression analysis. The results show the following: (1) the CCD between the social economy and ecological environment of the Chengdu–Chongqing urban agglomeration presents a low level overall; (2) the CCD in more developed regions is significantly higher than that in less developed regions; thus, the characteristics of spatial differences are obvious; (3) the urbanization rate, ratio of actual use of foreign capital and GDP, ratio of total export-import volume and GDP, proportion of days with good air quality, and per capita public green space area are the main factors affecting the coordinated development of the social economy and ecological environment in the Chengdu–Chongqing urban agglomeration; and (4) Chongqing has obvious endogeneity. Finally, corresponding policy recommendations are provided aimed at promoting rapid economic development in the Chengdu–Chongqing urban agglomeration while focusing on environmental protection and promoting high-quality economic development with ecological environmental protection, while putting forward decision-making suggestions for high-quality development of urban agglomerations.

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Evaluation of ecological city and analysis of obstacle factors under the background of high-quality development: Taking cities in the Yellow River Basin as examples

Cited by 173 publications

References 25 publications

Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model

Spatiotemporal evolution and spatial relevance of urban resilience: Evidence from cities of China

Measurement of Coupling Coordination Degree and Spatio-Temporal Characteristics of the Social Economy and Ecological Environment in the Chengdu–Chongqing Urban Agglomeration under High-Quality Development

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