Coordination In Hubei Province's Economic Development And Environment
- DOI
- 10.2991/emcs-16.2016.285How to use a DOI?
- Keywords
- Economic development; Resources and environment; Gray relational analysis; Kuznets curve; Hubei Province
- Abstract
Based on the "Hubei Provincial Statistical Yearbook" in 1990 - in 2013 the relevant data to do statistical analysis, using DPS software gray correlation analysis and Kuznets curve (Kuznets curve) in support of SPSS software analysis to Hubei Hubei Province, in recent years, economic development and resources and the environment in Hubei Province into the relevance and coordination of research. Studies show that: (1) environmental pollution in Hubei Province showed significant decline, in 1990 the highest integrated pollution index, reached 1.39 in 1990 - between 1998, the pollution index volatility declined from 1998 until today, pollution index continues to decline, and decline significantly, namely resources and environment quality showed signs of improvement. (2) The correlation between resources and the environment and GDP per capita in Hubei Province show that: the greatest contribution to the solid waste, followed by the dust, once again it is waste water, followed by SO2, influence is the lightest gas. (3) Kuznets curve analysis showed Zi Nieci curve inverted "U" type there is the right part, that standardization pollution index as per capita GDP growth gradually reduced, in other words, Hubei standardized CPI should in the right half of the U-shaped curve.
- 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 - Rui Guo AU - Hanzhou Hao PY - 2016/01 DA - 2016/01 TI - Coordination In Hubei Province's Economic Development And Environment BT - Proceedings of the 2016 International Conference on Education, Management, Computer and Society PB - Atlantis Press SP - 1156 EP - 1159 SN - 2352-538X UR - https://doi.org/10.2991/emcs-16.2016.285 DO - 10.2991/emcs-16.2016.285 ID - Guo2016/01 ER -