Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai
To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to se...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Pan, Hengyu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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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:210 ; year:2019 ; day:10 ; month:02 ; pages:552-562 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.jclepro.2018.11.064 |
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ELV045290857 |
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| 520 | |a To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. | ||
| 520 | |a To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. | ||
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| 700 | 1 | |a Dong, Huijuan |4 oth | |
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10.1016/j.jclepro.2018.11.064 doi GBV00000000000548.pica (DE-627)ELV045290857 (ELSEVIER)S0959-6526(18)33464-4 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Pan, Hengyu verfasserin aut Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. Ecological footprint analysis Elsevier Megacity Elsevier Urban governance Elsevier Emergy analysis Elsevier Zhuang, Mufan oth Geng, Yong oth Wu, Fei oth Dong, Huijuan oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:210 year:2019 day:10 month:02 pages:552-562 extent:11 https://doi.org/10.1016/j.jclepro.2018.11.064 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 210 2019 10 0210 552-562 11 |
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10.1016/j.jclepro.2018.11.064 doi GBV00000000000548.pica (DE-627)ELV045290857 (ELSEVIER)S0959-6526(18)33464-4 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Pan, Hengyu verfasserin aut Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. Ecological footprint analysis Elsevier Megacity Elsevier Urban governance Elsevier Emergy analysis Elsevier Zhuang, Mufan oth Geng, Yong oth Wu, Fei oth Dong, Huijuan oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:210 year:2019 day:10 month:02 pages:552-562 extent:11 https://doi.org/10.1016/j.jclepro.2018.11.064 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 210 2019 10 0210 552-562 11 |
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10.1016/j.jclepro.2018.11.064 doi GBV00000000000548.pica (DE-627)ELV045290857 (ELSEVIER)S0959-6526(18)33464-4 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Pan, Hengyu verfasserin aut Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. Ecological footprint analysis Elsevier Megacity Elsevier Urban governance Elsevier Emergy analysis Elsevier Zhuang, Mufan oth Geng, Yong oth Wu, Fei oth Dong, Huijuan oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:210 year:2019 day:10 month:02 pages:552-562 extent:11 https://doi.org/10.1016/j.jclepro.2018.11.064 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 210 2019 10 0210 552-562 11 |
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10.1016/j.jclepro.2018.11.064 doi GBV00000000000548.pica (DE-627)ELV045290857 (ELSEVIER)S0959-6526(18)33464-4 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Pan, Hengyu verfasserin aut Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. Ecological footprint analysis Elsevier Megacity Elsevier Urban governance Elsevier Emergy analysis Elsevier Zhuang, Mufan oth Geng, Yong oth Wu, Fei oth Dong, Huijuan oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:210 year:2019 day:10 month:02 pages:552-562 extent:11 https://doi.org/10.1016/j.jclepro.2018.11.064 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 210 2019 10 0210 552-562 11 |
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10.1016/j.jclepro.2018.11.064 doi GBV00000000000548.pica (DE-627)ELV045290857 (ELSEVIER)S0959-6526(18)33464-4 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Pan, Hengyu verfasserin aut Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai 2019transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. Ecological footprint analysis Elsevier Megacity Elsevier Urban governance Elsevier Emergy analysis Elsevier Zhuang, Mufan oth Geng, Yong oth Wu, Fei oth Dong, Huijuan oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:210 year:2019 day:10 month:02 pages:552-562 extent:11 https://doi.org/10.1016/j.jclepro.2018.11.064 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 210 2019 10 0210 552-562 11 |
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In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. 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Emergy-based ecological footprint analysis for a mega-city: The dynamic changes of Shanghai |
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To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. |
| abstractGer |
To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. |
| abstract_unstemmed |
To move towards sustainable urban development, interactions between economic and ecological systems should be further investigated due to their coupled relations. In this study, we propose an emergy-based ecological footprint (EEF) analysis framework. Shanghai was selected as a case study city to see its dynamic changes from 2007 to 2016. The results show that Shanghai had a large ecological deficit, an extremely high ecological footprint intensity and a poor coordination relationship between its ecological system and its economic system, indicating a great ecological challenge that it is facing. The uneven distribution of its emergy ecological footprint is mainly due to the large share of fossil fuels land type. But with the city's great efforts, the overall ecological pressure has been reduced and the coordination relationship has also been improved, while the local economy is still booming. Pearson correlation analysis further indicates that the city's policy on developing tertiary industry has resulted in a positive effect on improving the coordinating relationship. The ratio between the output value of heavy industry and gross industrial output value has the most negative correlation with the coordinating relationship. Finally, policy recommendations are raised by considering the local realities. These recommendations can also provide valuable insights to other megacities with similar challenges. |
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