Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model
The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sun, Yifang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
Sustainable development potential |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:337 ; year:2022 ; day:20 ; month:02 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jclepro.2022.130452 |
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ELV056728743 |
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| 520 | |a The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. | ||
| 520 | |a The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. | ||
| 650 | 7 | |a Influencing mechanisms |2 Elsevier | |
| 650 | 7 | |a Ecological carrying structure |2 Elsevier | |
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| 650 | 7 | |a Improved ecological footprint |2 Elsevier | |
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10.1016/j.jclepro.2022.130452 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001913.pica (DE-627)ELV056728743 (ELSEVIER)S0959-6526(22)00097-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Sun, Yifang verfasserin aut Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. Influencing mechanisms Elsevier Ecological carrying structure Elsevier Sustainable development potential Elsevier Ecological well-being performance Elsevier Improved ecological footprint Elsevier Wang, Ninglian oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:337 year:2022 day:20 month:02 pages:0 https://doi.org/10.1016/j.jclepro.2022.130452 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 337 2022 20 0220 0 |
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10.1016/j.jclepro.2022.130452 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001913.pica (DE-627)ELV056728743 (ELSEVIER)S0959-6526(22)00097-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Sun, Yifang verfasserin aut Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. Influencing mechanisms Elsevier Ecological carrying structure Elsevier Sustainable development potential Elsevier Ecological well-being performance Elsevier Improved ecological footprint Elsevier Wang, Ninglian oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:337 year:2022 day:20 month:02 pages:0 https://doi.org/10.1016/j.jclepro.2022.130452 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 337 2022 20 0220 0 |
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10.1016/j.jclepro.2022.130452 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001913.pica (DE-627)ELV056728743 (ELSEVIER)S0959-6526(22)00097-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Sun, Yifang verfasserin aut Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. Influencing mechanisms Elsevier Ecological carrying structure Elsevier Sustainable development potential Elsevier Ecological well-being performance Elsevier Improved ecological footprint Elsevier Wang, Ninglian oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:337 year:2022 day:20 month:02 pages:0 https://doi.org/10.1016/j.jclepro.2022.130452 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 337 2022 20 0220 0 |
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10.1016/j.jclepro.2022.130452 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001913.pica (DE-627)ELV056728743 (ELSEVIER)S0959-6526(22)00097-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Sun, Yifang verfasserin aut Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. Influencing mechanisms Elsevier Ecological carrying structure Elsevier Sustainable development potential Elsevier Ecological well-being performance Elsevier Improved ecological footprint Elsevier Wang, Ninglian oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:337 year:2022 day:20 month:02 pages:0 https://doi.org/10.1016/j.jclepro.2022.130452 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 337 2022 20 0220 0 |
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10.1016/j.jclepro.2022.130452 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001913.pica (DE-627)ELV056728743 (ELSEVIER)S0959-6526(22)00097-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Sun, Yifang verfasserin aut Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. Influencing mechanisms Elsevier Ecological carrying structure Elsevier Sustainable development potential Elsevier Ecological well-being performance Elsevier Improved ecological footprint Elsevier Wang, Ninglian oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:337 year:2022 day:20 month:02 pages:0 https://doi.org/10.1016/j.jclepro.2022.130452 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 337 2022 20 0220 0 |
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Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. 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Sustainable urban development of the π-shaped Curve Area in the Yellow River basin under ecological constraints: A study based on the improved ecological footprint model |
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The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. |
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The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. |
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The rapid development of China's urban agglomerations has been accompanied by enormous ecological costs. Based on the perspective of ecological constraints, this paper constructed a “quantity-efficiency-structure” evaluation framework for sustainable urban development. Taking the π-shaped Curve Area in the Yellow River Basin as the study area, the improved ecological footprint model and the information entropy method were adopted to evaluate the sustainable development potential (SDP) of the 17 cities in the Area from three aspects: ecological supply and demand (quantity comparison), ecological well-being performance (efficiency assessment), and ecological carrying structure (structure evaluation). From 2005 to 2019, ecological constraints of the three aspects exhibited obvious east-west and north-south spatial heterogeneity and even formed spatial clusters. Through multivariate systematic correlation analysis, openness degree, economic level, population, urbanization rate, industrial structure, scientific innovation, energy consumption, and the role of government were found to have different effects on the SDP and its three aspects. Given the results of the “quantity-efficiency-structure” evaluation and the influencing mechanism of SDP, cities in Area were grouped into weak sustainable, weak unsustainable, strong sustainable, and strong unsustainable types using systematic clustering method, and development suggestions were proposed accordingly. This study was expected to provide new ideas for studying sustainable development and policy proposals for urban development in the Curve Area. |
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