Spatiotemporal evolution and driving mechanism of ecological well-being performance in the urban agglomeration of the middle reaches of the Yangtze River under the carbon peaking and carbon neutrality goals

Zhu, Yuanyuan; Zhang, Rui; GU, Jiang; Gao, Zhe

doi:10.18306/dlkxjz.2022.12.004

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…In 2000, the H-H dominated the eastern and western parts of the Jianghan Plain, whereas the L-L dominated these regions in 2005 and 2010. In addition, the area of L-L decreased Frontiers in Environmental Science frontiersin.org continuously from 2010 to 2020, indicating that the environment quality had enhanced and the degree of ecological vulnerability had declined as a result of the promotion of the development of ecological civilization (Zhu et al, 2022). In conjunction with the preceding, the temporal tendencies of L-L and HH are consistent with the EVI's movements in the Jianghan Plain.…”

Section: Spatial Auto-correlation Analysis Of Evisupporting

confidence: 54%

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Zhou

Zhang³

et al. 2023

Front. Environ. Sci.

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Recent urbanization and growing food consumption have had a severely detrimental effect on the ecological environment of the Jianghan Plain. The ecological fragility of the Jianghan Plain must be continually monitored for environmental conservation and sustainable development. This study utilized principal component analysis (PCA) to quantitatively assess the ecological vulnerability of the Jianghan Plain based on the remote sensing ecological index (RSEI) and analyzed the space-time changes and drivers in the Jianghan Plain from 2000 to 2020 using the Google Earth Engine Platform (GEE). The findings of this research indicated that the ecological vulnerability of the Jianghan Plain from 2000 to 2020 was predominantly Moderate or Strong level. But still, the EVI displayed a changing decreasing trend, revealing a small development towards a healthier ecological environment. The most significant ecological vulnerability deterioration occurred between 2005 and 2010, accounting for roughly 44.90 percent, whereas the highest improvement occurred between 2000 and 2005, occupying approximately 37.52% of the area. Moran’s I of EVI was greater than 0 in Jianghan Plain and displayed a growing and subsequently a falling trend, representing that the spatial distribution of regional ecological vulnerability was strongly correlated and aggregated and that the degree of aggregation has declined. The effects of heat, greenness, wetness, and dryness on the ecological vulnerability of Jianghan Plain were all significant, with greenness and wetness being the primary determinants of the change in Jianghan Plain’s ecological vulnerability. The results of this study can offer a theoretical and scientific foundation for ecological protection and restoration in the Jianghan Plain. Meanwhile, this study also provides a practical and rapid method for monitoring regional ecological vulnerability using RSEI, GEE, and PCA, which can be applied elsewhere for ecological vulnerability evaluation.

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Section: Spatial Auto-correlation Analysis Of Evisupporting

confidence: 54%

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Zhou

Zhang³

et al. 2023

Front. Environ. Sci.

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“…Ecological welfare performance, which refers to the efficiency of natural resources and the transformation of ecological inputs into human welfare, allows the assessment of sustainable development capacity as well as the relationship between human welfare and ecosystem services [5]. Ecological welfare evaluation can be utilized to determine the health of economic growth.…”

Section: Essence Of Ecological Welfare Performancementioning

confidence: 99%

“…The third method is Data Envelopment Analysis (DEA) measurement [5,[25][26][27][28][29]. As a non-parametric and uncertain method, DEA only requires known inputoutput data, and there is no need to consider the specific form of the production frontier [30][31][32].…”

Section: Measurement Of Ecological Welfare Performancementioning

confidence: 99%

Dynamic Evolution and Regional Differences in Ecological Welfare Performance: Insights from Guangdong Province, China

Liu,

Ke,

Wen

2024

Pol. J. Environ. Stud.

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Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt

Wang,

Gao,

2024

Sustainability

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The Chinese government has adopted a significant low-carbon transition strategy aimed at enhancing resource efficiency, advancing ecological conservation, and augmenting societal well-being. This research employs the super efficiency SBM model to evaluate the ecological well-being performance (EWP) within the Huaihe River Ecological Economic Belt. Subsequently, it employs the Sys-GMM model and conducts a threshold effect analysis to regressively examine the impact of the low-carbon transition on EWP. The key findings are as follows. The EWP in the Huaihe River Ecological Economic Belt is relatively low; cities with higher economic development levels tend to exhibit lower EWP scores. The impact of the low-carbon transition on EWP is contingent upon the level of regional economic development and exhibits a singular threshold effect predicated on the economic development level as the threshold variable. Specifically, when economic development is at a low level, an intensification of the low-carbon transition results in a decline in EWP within the Huaihe River Ecological Economic Belt. Conversely, when the economic development level surpasses the threshold, the low-carbon transition facilitates the enhancement of EWP. This study’s principal contribution lies in elucidating the intricate relationship between the low-carbon transition and sustainable development.

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Spatiotemporal evolution and driving mechanism of ecological well-being performance in the urban agglomeration of the middle reaches of the Yangtze River under the carbon peaking and carbon neutrality goals

Abstract: Spatiotemporal evolution and driving mechanism of ecological well-being performance in the urban agglomeration of the middle reaches of the Yangtze River under the carbon peaking and carbon neutrality goals.

Cited by 3 publications

References 8 publications

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Spatial-temporal evolution and motivation of ecological vulnerability based on RSEI and GEE in the Jianghan Plain from 2000 to 2020

Dynamic Evolution and Regional Differences in Ecological Welfare Performance: Insights from Guangdong Province, China

Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt

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