Evaluation on the relevance of regional urbanization and ecological security in the nine provinces along the Yellow River, China

Qiu, Meng; Yang, Zhenlong; Zuo, Qiting; Wu, Qingyan; Jiang, Long; Zhang, Zhizhuo; Zhang, Jianwei

doi:10.1016/j.ecolind.2021.108346

Cited by 60 publications

(26 citation statements)

References 50 publications

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“…Finally, UPLSPs and EE are in conflict, and the UPLSPs of urban land concentration constrains the development of EE, which is consistent with some previous findings ( 72 ). This is likely because, with the rapid urbanization of Hubei Province, many people are gathering in cities, urban population density is increasing, and the demand for resources by urban residents have damaged the environment, thus limiting the level of EE.…”

Section: Discussionsupporting

confidence: 91%

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Conflict or Coordination? Spatiotemporal Coupling of Urban Population–Land Spatial Patterns and Ecological Efficiency

Shan

Jiang

Liu

et al. 2022

Front. Public Health

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The coordinated relationship between urban population–land spatial patterns (UPLSPs) and ecological efficiency (EE) is conducive not only to the rational utilization of resources and environment and the sustainable development of society, but also to the provision of a living environment that benefits public health. Identifying the coupling relationship of urban development and EE can provide critical information for urban planning. Previous studies have mainly focused on the coupling relationship between urban population and land, urbanization, and ecological development, while ignoring that between UPLSPs and EE. This study integrates several models to construct a novel framework for coupling UPLSPs and EE. Taking Hubei Province as the research area, we calculate the UPLSPs, EE, and their coupling coordination degree for 12 cities from 2000 to 2019. The paper offers several conclusions. (1) the urban population–land spatial matching degree increased, but the overall matching level was not high; the average value of EE showed an “N”-shaped change trajectory, and its overall level was low, with small changes and obvious regional differences. (2) The average value of the coupling coordination degree between UPLSPs and EE was a slow upward trend, with a radial distribution high in the middle and low in the periphery. There was conflict between the spatial patterns and EE, and the former restricted the development of the latter. (3) There were strong correlations between coordination degree and various indicators of UPLSPs and EE. While we should revitalize the stock of construction land and optimize the upgrading of the industrial structure, we also must coordinate human and land resources and the ecological environment, and narrow regional development differences. This study provides a new framework for urban environmental assessment and urban planning decision-making.

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Section: Discussionsupporting

confidence: 91%

“…The value range of the relational degree r i is [0, 1]; the larger the value of r i , the greater the correlation between the indicators and the stronger the coupling. In addition, as in the literature ( 72 , 73 ), the relational degree of the coupling coordination degree of UPLSPs and EE is divided into six types, as shown in Table 4 .…”

Section: Methodsmentioning

confidence: 99%

Conflict or Coordination? Spatiotemporal Coupling of Urban Population–Land Spatial Patterns and Ecological Efficiency

Shan

Jiang

Liu

et al. 2022

Front. Public Health

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“…On the whole, the overall coordinated index shows a slow upward trend with spatiotemporal heterogeneity [ 56 ], which is similar to the existing research conclusions. In addition, we also found that the overall coordinated development index of the Yellow River Basin is not only affected by the common factors, such as population size and per capita natural growth rate [ 35 , 57 ], but also by other specific factors, such as the number of days that air quality reaches the second standard and above, the number of medical institutions, number of higher education graduates, etc. We also reach the conclusion that the method which comprehensively considers the relevance and obstacle factors for regulation has the best overall regulation effect.…”

Section: Discussionmentioning

confidence: 99%

The Coordinated Development and Regulation Research on Public Health, Ecological Environment and Economic Development: Evidence from the Yellow River Basin of China

Wei

Jin

Ying

et al. 2022

IJERPH

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The dual problems of the public crisis from the global epidemic and the deterioration of the ecological environment constrain the economic development in the Yellow River Basin. To promote the sustainable and balanced development in the Yellow River Basin, this paper takes public health, ecological environment, and economic development, as a whole, to study the coordinated development of the Yellow River Basin. Based on coupling coordinated theory, we use the SMI-P method to evaluate the coordinated development index of public health, the ecological environment, and economic development in the Yellow River Basin. Moreover, we use the coordinated regulation and obstacle factor diagnosis to identify the main influencing factors and design regulation methods to optimize the coordinated development index. The results found that (1), during the research period, there is spatiotemporal heterogeneity in the coordinated development level in the Yellow River Basin. From 2009 to 2019, the overall development index increased steadily, while the regional disparity in the coordinated development level was obvious. (2) The ecological environment indicators contribute more to the relevance and obstacle factors, such as the average concentration of fine particulate matter, per capita arable land area, afforestation area, etc. (3) After regulating the overall development level of the Yellow River Basin, we prove that Path 4, which comprehensively considers the relevance and obstacle factors, performs better.

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“…After qualitatively analysis of the interaction between urbanization and ecological security, this study utilized the coupling coordination model and VAR model to verify and predict the correlation between urbanization and ecological security. In existing studies, the analysis of coupling coordination usually includes the changing laws of historical data, such as historical changes of coupling degree, coupling coordination degree, and coupling coordination type [ 25 , 26 , 27 , 28 , 29 , 30 ]. However, the characteristics of effects of future urbanization changes on ecological security are usually neglected [ 23 , 31 ].…”

Section: Discussionmentioning

confidence: 99%

“…et al conducted the coupling coordination degree model and geographic detector model in the Beijing-Tianjin-Hebei urban agglomeration to find out the dominant factors of urbanization and ecology [ 29 ]. Qiu M. et al used grey relationship and decoupling model to study the interaction between urbanization and ecological security in the nine provinces along the Yellow River, China [ 30 ]. However, the forecast simulation of interaction trend of urbanization and eco-environment will be an important future research direction [ 23 , 31 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis for the Interaction Relationship between Urbanization and Ecological Security: A Case Study in Wuhan City Circle of China

Chai

Wang

Chen³

2021

IJERPH

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Exploring the interaction relationship between urbanization and ecological security is the key issue to achieve regional sustainable development. This study used coupling coordination model and vector auto-regression model to comprehensively investigate the interaction relationship between urbanization and ecological security in Wuhan City Circle from 2005 to 2018. The results showed that urbanization quality in Wuhan City Circle increased from 0.1818 in 2005 to 0.4355 in 2018, with an average annual increase rate of 10.74%. The ecological security of Wuhan City Circle decreased from 0.4890 in 2005 to 0.4511 in 2015 and increased from 0.4511 in 2015 to 0.4554 in 2018. The degree of coupling coordination between urbanization and ecological security of Wuhan City Circle presented a circle structure with Wuhan as the center and increasing outward. Additionally, the impulse analysis showed that the increase of urbanization had a significant negative impact on ecological security of Wuhan city, Huangshi city, and Xiaogan city. Meanwhile, the ecological security index of Ezhou city, Tianmen city, Huanggang city, Xiantao city, Xianning city, and Qianjiang city were all positive in early stage after the ecological security was impacted by the increase of urbanization. The analysis of historical data and future trends can provide operable recommendations for urbanization development and ecological security protection through cleaner production and efficient use of natural resources from the aspect of coordinated development.

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Evaluation on the relevance of regional urbanization and ecological security in the nine provinces along the Yellow River, China

Cited by 60 publications

References 50 publications

Conflict or Coordination? Spatiotemporal Coupling of Urban Population–Land Spatial Patterns and Ecological Efficiency

Conflict or Coordination? Spatiotemporal Coupling of Urban Population–Land Spatial Patterns and Ecological Efficiency

The Coordinated Development and Regulation Research on Public Health, Ecological Environment and Economic Development: Evidence from the Yellow River Basin of China

Analysis for the Interaction Relationship between Urbanization and Ecological Security: A Case Study in Wuhan City Circle of China

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