A sustainability classification for a country based on PCA
- DOI
- 10.2991/isss-15.2015.25How to use a DOI?
- Keywords
- PCA; GDP; CO2.
- Abstract
This paper offers a method about how to judge countries’ sustainability based on principal component analysis (PCA). Considering the present situation that there only exists unilateral methods that judge the sustainability of a country according to one indicator, I put forward the method of quantitative and comprehensive analysis. Collect the necessary data and build the index set which is composed of life expectancy at birth, food production index, improved water source, unemployment(of total labor), GDP per capita, poverty headcount ratio, electric power consumption(kwh per capita), CO2 emissions (metric tons per capita) and forest area (% of land area). The indicator that belongs to the index set is chosen according to whether it can reflect the sustainability of a country. And the indicators I choose cover four aspects: economy, environment, resource and society, which can approximately represent the sustainability of a country. Then use PCA to get principal components that can represent the chosen nine indexes. And we can get the principal component scores of the selected eight countries’ sustainability by programming, after comparing which we can get their rankings. I use PCA to construct an evaluation system of countries’ sustainability. The model in the paper also helps us to compare the sustainability of different countries, which will help the less sustainable ones find the gap and improve their sustainability.
- Copyright
- © 2015, 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 - Guojin Zhao PY - 2015/08 DA - 2015/08 TI - A sustainability classification for a country based on PCA BT - Proceedings of the 1st International Symposium on Social Science (isss-15) PB - Atlantis Press SP - 100 EP - 103 SN - 2352-5398 UR - https://doi.org/10.2991/isss-15.2015.25 DO - 10.2991/isss-15.2015.25 ID - Zhao2015/08 ER -