Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model

The conflict between economic development and environmental protection has become increasingly prominent in the urbanization process of the Yangtze River urban agglomeration, the most economically developed region in Jiangsu Province in China. In order to investigate the sustainable development stat...

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Main Authors: Benhong Peng, Yuanyuan Wang, Ehsan Elahi, Guo Wei
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/15/11/2543
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spelling doaj-34ad5b8ebeac4f0f9909ed7f32e8bc052020-11-24T21:48:18ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012018-11-011511254310.3390/ijerph15112543ijerph15112543Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey ModelBenhong Peng0Yuanyuan Wang1Ehsan Elahi2Guo Wei3School of Management Science and Engineering, Nanjing University of Information Science &amp; Technology, Nanjing 210044, ChinaSchool of Management Science and Engineering, Nanjing University of Information Science &amp; Technology, Nanjing 210044, ChinaSchool of Business, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaDepartment of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USAThe conflict between economic development and environmental protection has become increasingly prominent in the urbanization process of the Yangtze River urban agglomeration, the most economically developed region in Jiangsu Province in China. In order to investigate the sustainable development status, and thus provide decision support for the sustainable development of this region, the ecological footprint model was utilized to evaluate and analyze the ecological footprint per capita, the ecological carrying capacity per capita, and the ecological deficit per capita for the period from 2013 to 2017. Furthermore, the Grey model is employed to predict the development trend of the ecological footprint for 2018 to 2022. The evaluation results show that the ecological footprint per capita has been increasing year by year since 2013, reaching a peak of 2.3897 hm<sup>2</sup> in 2015 before declining again. In the same period, the available ecological carrying capacity per capita and the ecological footprint per capita basically developed in the same direction, resulting in an ecological deficit per capita and gradually increasing from 2013 to a peak of 2.0303 hm<sup>2</sup> in 2015 before declining. It is also found that the change of ecological carrying capacity is not substantial, and the change of the ecological deficit is mainly caused by a huge change of the ecological footprint. The forecast results show that the ecological deficit per capita will reach 1.1713 hm<sup>2</sup> in 2018, which will be another deficit peak after 2015. However, in the later period until 2022, the ecological deficit per capita will begin to decline year by year. These results can provide effective inspirations for reducing the ecological deficit of the Yangtze River urban agglomeration, thus promoting the coordinated development of the economy and environment in this area.https://www.mdpi.com/1660-4601/15/11/2543ecological footprintecological carrying capacitygrey modelYangtze River urban agglomeration
collection DOAJ
language English
format Article
sources DOAJ
author Benhong Peng
Yuanyuan Wang
Ehsan Elahi
Guo Wei
spellingShingle Benhong Peng
Yuanyuan Wang
Ehsan Elahi
Guo Wei
Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model
International Journal of Environmental Research and Public Health
ecological footprint
ecological carrying capacity
grey model
Yangtze River urban agglomeration
author_facet Benhong Peng
Yuanyuan Wang
Ehsan Elahi
Guo Wei
author_sort Benhong Peng
title Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model
title_short Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model
title_full Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model
title_fullStr Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model
title_full_unstemmed Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model
title_sort evaluation and prediction of the ecological footprint and ecological carrying capacity for yangtze river urban agglomeration based on the grey model
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2018-11-01
description The conflict between economic development and environmental protection has become increasingly prominent in the urbanization process of the Yangtze River urban agglomeration, the most economically developed region in Jiangsu Province in China. In order to investigate the sustainable development status, and thus provide decision support for the sustainable development of this region, the ecological footprint model was utilized to evaluate and analyze the ecological footprint per capita, the ecological carrying capacity per capita, and the ecological deficit per capita for the period from 2013 to 2017. Furthermore, the Grey model is employed to predict the development trend of the ecological footprint for 2018 to 2022. The evaluation results show that the ecological footprint per capita has been increasing year by year since 2013, reaching a peak of 2.3897 hm<sup>2</sup> in 2015 before declining again. In the same period, the available ecological carrying capacity per capita and the ecological footprint per capita basically developed in the same direction, resulting in an ecological deficit per capita and gradually increasing from 2013 to a peak of 2.0303 hm<sup>2</sup> in 2015 before declining. It is also found that the change of ecological carrying capacity is not substantial, and the change of the ecological deficit is mainly caused by a huge change of the ecological footprint. The forecast results show that the ecological deficit per capita will reach 1.1713 hm<sup>2</sup> in 2018, which will be another deficit peak after 2015. However, in the later period until 2022, the ecological deficit per capita will begin to decline year by year. These results can provide effective inspirations for reducing the ecological deficit of the Yangtze River urban agglomeration, thus promoting the coordinated development of the economy and environment in this area.
topic ecological footprint
ecological carrying capacity
grey model
Yangtze River urban agglomeration
url https://www.mdpi.com/1660-4601/15/11/2543
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