Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

The Application of EF Analysis in Quantitative Assessment of Sustainable Development

Authors
Yang Chen, Yuxue Cao
Corresponding Author
Yang Chen
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.36How to use a DOI?
Keywords
ecological footprint; ecological carrying capacity; ecological deficit; Guangdong Province
Abstract

Quantitative measures for sustainable development are important topics and frontier areas of sustainable development research. The core of this paper is to determine whether human beings live within the bearing capacity of ecosystems. This paper introduces the ecological footprint method, which is proposed by Wackernagel M and other sustainable development since 1996, and uses this method to calculate and analyze the ecological footprint of Guangdong Province in 2015. The results show that the per capita ecological footprint deficit of Guangdong Province in 2015 is 1.648 32 hm2. Reflecting the current production and living intensity of Hubei Province has exceeded the carrying capacity of ecosystems, and regional ecosystems are under the excessive exploitation and pressure of human beings.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
10.2991/ammsa-17.2017.36
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.36How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yang Chen
AU  - Yuxue Cao
PY  - 2017/05
DA  - 2017/05
TI  - The Application of EF Analysis in Quantitative Assessment of Sustainable Development
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 171
EP  - 174
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.36
DO  - 10.2991/ammsa-17.2017.36
ID  - Chen2017/05
ER  -