What is the spatiotemporal relationship between urbanization and ecosystem services? A case from 110 cities in the Yangtze River Economic Belt, China

Luo, Qiaoling; Zhou, Junfang; Zhang, Yue; Yu, Bolin; Zhang, Zhu

doi:10.1016/j.jenvman.2022.115709

Cited by 55 publications

(26 citation statements)

References 44 publications

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“…Over the past 20 years, HQU in Shandong Province has generally maintained a steady upward trend, and its spatio‐temporal evolution has been characterized by notable heterogeneity (Figure 4 and Table S3). This observation is consistent with current studies conducted by eminent researchers (Luo et al, 2022; Ouyang et al, 2021; Yang et al, 2023). Additionally, it is worth noting that coastal districts and counties within the Jiaodong Peninsula exhibit the fastest growth rates of HQU.…”

Section: Discussionsupporting

confidence: 93%

“…Drawing on well‐established theories such as the Environmental Kuznets Curve (Wan et al, 2015), Coupled Systems Theory (Liu et al, 2007), Sustainable Development Theory (Brundtland, 1987), and Human‐Earth Relationship Theory (Dong and Huang, 2023), these studies have devoted their efforts to clarify the intricate relationship between urbanization and ESs. Remarkably, their investigations cover a broad range of scales, spanning national (Ali et al, 2019; Ouyang et al, 2021), watershed (Luo et al, 2022; Yang et al, 2023), urban agglomeration (Guo et al, 2022; Wang, Hu, et al, 2022), provincial (Chen et al, 2022; Yang et al, 2020) and municipal (Pham & Lin, 2023) levels. These comprehensive analyses ensure that the dynamics between urbanization and ES can be thoroughly explored across various geographic contexts, establishing the basis for our systematic exploration of the interactions between HQU and ecosystem service value.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic interactions and mechanisms between high‐quality urbanization and ecosystem service value in Shandong Province: Trends, coordination, and implications for sustainable development

Liu,

Ren

2024

Land Degrad Dev

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An extensive and profound investigation into the dynamic interactions between High‐Quality Urbanization (HQU) and Ecosystem Service Value are of utmost importance for the coordinated development of the region. Diverging from traditional macro‐level analysis, this study is grounded on county‐scale data, measuring HQU and ecosystem service value from a multidimensional perspective. On the basis of the research framework of “phenomena‐relationships‐mechanisms”, we expect to delve deeper into the spatio‐temporal evolutionary characteristics of ecosystem service value and HQU and their integrated interactions. Additionally, we utilize econometric models to rigorously evaluate the impact of HQU on ecosystem service value, with the goal of filling the current research gaps. The research results are as follows: (1) From 2000 to 2020, the ecosystem service value in Shandong Province exhibit an overall decreasing and then increasing trend, and shows a spatial posture of high east and low west. HQU generally maintains a steady upward trend, and its spatio‐temporal evolution has apparent heterogeneity. (2) The Coupled Coordination Degree (CCD) between HQU and ecosystem service value has a gradual rising trend, and there is an increasing level of consistency between them. (3) HQU has a negative effect on ecosystem service value, and the direction and degree of the effect on segmented ecosystem service value types vary greatly. (4) The effect of HQU on ecosystem service value is heterogenous, and the attenuating effect is mainly found in grain‐producing counties, inland counties, and counties with a lower index of high‐quality urbanization. In conclusion, our results are expected to provide targeted recommendations for sustainable development and ecological balance in Shandong Province.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Dynamic interactions and mechanisms between high‐quality urbanization and ecosystem service value in Shandong Province: Trends, coordination, and implications for sustainable development

Liu,

Ren

2024

Land Degrad Dev

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“…The expression for the Pearson correlation coe cient is as follows: 5 where x i and y i denote UL and LCD of each city respectively; r is the correlation coe cient of variables x and y within the range of -1 to 1. A negative r denotes a trade-off relationship while a positive r signi es a synergistic relationship (Luo et al, 2022). The correlation coe cient is tested with the SPSS pro software.…”

Section: Models For Glcu Assessmentmentioning

confidence: 99%

Spatiotemporal patterns and driving factors of green and low-carbon urbanization in the Yangtze River Delta region, China

Huang,

Kuai,

Wang

2023

Preprint

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Green and low-carbon urbanization (GLCU) stands as a key objective within the realm of urban sustainable development. The extent of coordination between urbanization and low-carbon development determines the level of GLCU. However, the complex driving mechanism of GLCU has not garnered the required attention within the existing of literature. In light of this, the present paper introduces a multi-dimensional comprehensive evaluation framework aimed at assessing the level of GLCU. Specifically, it delves into the spatial-temporal characteristics and driving forces that underpin GLCU. The results indicate that the level of GLCU evolved from low coordination to moderate coordination from 2005 to 2020 in the Yangtze River Delta region. Yet, the trade-off between urbanization and low-carbon development still exists. The surge in population density and economic prosperity emerged as the principal positive drivers of GLCU, while the carbon emissions intensity exerted a negative influence. Furthermore, the effect of industrial structure shifted from a positive driver to a negative one. The effects of these drivers upon GLCU varied at different urbanization stages and determined the patterns of urban development, indicating that policies for sustainable development should be tailored for the cities at different urbanization stages.

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“…China's urbanization rate has reached 50% for the first time in 2011, indicating that the country is no longer a rural society, but instead is transitioning to an urban one. In order to guarantee the stable and healthy development of society as well as the economy, it has become an inescapable choice for future urbanization development to reform the present policies, give attention to green leadership, and support the green urbanization process (Luo et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution

Wang²

2023

Front. Earth Sci.

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As a highly developed spatial form of integrated cities, urban agglomeration has become an important fulcrum for promoting economic development and regional growth. Green urban efficiency is the key to achieving green growth in a country. This study propose a slack-based model with undesirable output to evaluate the green urbanization of 18 urban agglomerations in China. Analysis was performed using the integrated barycenter coordinate method, standard deviation ellipses, and the geographic detector model to determine the spatial–temporal characteristics of green urbanization efficiency and the factors that influence urban agglomerations. We found that the green urbanization efficiency of urban agglomerations in China, when plotted, revealed a curve with the shape of “∧,” which increased at first and then decreased. The spatial differentiation characteristics were not obvious as the gap was narrowing. The center of green urbanization efficiency in China’s urban agglomerations has always been located in the Central Plains, with a small overall span and a relatively fixed position. The barycenter coordinates showed a trend of shifting from east to north, but the transfer speed and rhythm were relatively slow. The explanatory power of the various factors influencing the spatial differentiation of green urbanization efficiency of urban agglomerations differed markedly. The magnitude of importance was in the order of: urban population scale > investment growth > technology level > economic development > industrial structure.

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What is the spatiotemporal relationship between urbanization and ecosystem services? A case from 110 cities in the Yangtze River Economic Belt, China

Cited by 55 publications

References 44 publications

Dynamic interactions and mechanisms between high‐quality urbanization and ecosystem service value in Shandong Province: Trends, coordination, and implications for sustainable development

Dynamic interactions and mechanisms between high‐quality urbanization and ecosystem service value in Shandong Province: Trends, coordination, and implications for sustainable development

Spatiotemporal patterns and driving factors of green and low-carbon urbanization in the Yangtze River Delta region, China

Green urbanization efficiency of 18 urban agglomerations in China: Evidence from spatial–temporal evolution

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