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Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model
Aiming at the ecological footprint model, the traditional trade adjustment method only considered the international trade process at the urban scale, ignoring the trade footprint generated by domestic trade and indirect trade in various products. This paper adopts the urban-scale ecological footprin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831507/ https://www.ncbi.nlm.nih.gov/pubmed/35145172 http://dx.doi.org/10.1038/s41598-022-06152-4 |
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author | Liu, Ye Zhou, Xi Zhang, Qiuyun Zeng, Lixuan Kang, Yuan Luo, Jiwen |
author_facet | Liu, Ye Zhou, Xi Zhang, Qiuyun Zeng, Lixuan Kang, Yuan Luo, Jiwen |
author_sort | Liu, Ye |
collection | PubMed |
description | Aiming at the ecological footprint model, the traditional trade adjustment method only considered the international trade process at the urban scale, ignoring the trade footprint generated by domestic trade and indirect trade in various products. This paper adopts the urban-scale ecological footprint model based on the macro-trade adjustment method to calculate the trade adjustment coefficient of biological products and the energy trade adjustment coefficient respectively to correct the trade footprint. The results showed that the per capita ecological deficit showed a straight upward trend, from 0.07351 hm(2) in 2013 to 0.15472 hm(2) in 2018. From 2013 to 2018, the per capita ecological footprint of Guangdong Province was greater than the per capita ecological carrying capacity, and the ecological economic system of Guangdong Province was in an unsustainable state. According to the trade ecological footprint, Guangdong Province was a completely foreign resource and service exporting city, which was consistent with Guangdong Province’s own economic development direction; the analysis results of the ecological product trade footprint were more consistent with the current city positioning of biological resource products of each city, and the energy indirect trade footprint. The improved ecological footprint model could more accurately assess the true status of ecological vitality above the urban scale. |
format | Online Article Text |
id | pubmed-8831507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88315072022-02-14 Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model Liu, Ye Zhou, Xi Zhang, Qiuyun Zeng, Lixuan Kang, Yuan Luo, Jiwen Sci Rep Article Aiming at the ecological footprint model, the traditional trade adjustment method only considered the international trade process at the urban scale, ignoring the trade footprint generated by domestic trade and indirect trade in various products. This paper adopts the urban-scale ecological footprint model based on the macro-trade adjustment method to calculate the trade adjustment coefficient of biological products and the energy trade adjustment coefficient respectively to correct the trade footprint. The results showed that the per capita ecological deficit showed a straight upward trend, from 0.07351 hm(2) in 2013 to 0.15472 hm(2) in 2018. From 2013 to 2018, the per capita ecological footprint of Guangdong Province was greater than the per capita ecological carrying capacity, and the ecological economic system of Guangdong Province was in an unsustainable state. According to the trade ecological footprint, Guangdong Province was a completely foreign resource and service exporting city, which was consistent with Guangdong Province’s own economic development direction; the analysis results of the ecological product trade footprint were more consistent with the current city positioning of biological resource products of each city, and the energy indirect trade footprint. The improved ecological footprint model could more accurately assess the true status of ecological vitality above the urban scale. Nature Publishing Group UK 2022-02-10 /pmc/articles/PMC8831507/ /pubmed/35145172 http://dx.doi.org/10.1038/s41598-022-06152-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Ye Zhou, Xi Zhang, Qiuyun Zeng, Lixuan Kang, Yuan Luo, Jiwen Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model |
title | Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model |
title_full | Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model |
title_fullStr | Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model |
title_full_unstemmed | Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model |
title_short | Study on sustainable developments in Guangdong Province from 2013 to 2018 based on an improved ecological footprint model |
title_sort | study on sustainable developments in guangdong province from 2013 to 2018 based on an improved ecological footprint model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831507/ https://www.ncbi.nlm.nih.gov/pubmed/35145172 http://dx.doi.org/10.1038/s41598-022-06152-4 |
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