Proceedings of the 2016 2nd International Conference on Education Technology, Management and Humanities Science

The evaluation of Sustainable Development

Authors
Ming Wei Liao
Corresponding Author
Ming Wei Liao
Available Online January 2016.
DOI
10.2991/etmhs-16.2016.162How to use a DOI?
Keywords
Sustainable development Principal Component Analysis(PCA) Sustainability Index
Abstract

Sustainable development plays a more and more important role in various countries. To determine whether a country is sustainable, we define a concept named sustainability index, which is utilized to represent the sustainable level. The Sustainability Index(SI) is calculated by 22 indicators, such as forest area and energy production. We use the Principal Component Analysis (PCA) to calculate the SI separately. Finally, 17 typical countries are selected to evaluate by the SI. The results presents that Norway and Japan are more sustainable, and South Africa and Sudan are less sustainable among the 17 countries.

Copyright
© 2016, 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 2016 2nd International Conference on Education Technology, Management and Humanities Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
978-94-6252-160-5
ISSN
2352-5398
DOI
10.2991/etmhs-16.2016.162How to use a DOI?
Copyright
© 2016, 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  - Ming Wei Liao
PY  - 2016/01
DA  - 2016/01
TI  - The evaluation of Sustainable Development
BT  - Proceedings of the 2016 2nd International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 734
EP  - 738
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-16.2016.162
DO  - 10.2991/etmhs-16.2016.162
ID  - Liao2016/01
ER  -