The Relationship between Economic Growth and the Environmental Quality in the Huaihe River Basin
- DOI
- 10.2991/iccahe-16.2016.38How to use a DOI?
- Keywords
- the Huaihe River basin; EKC curve; Economic growth; Environmental quality
- Abstract
Based on the theory of EKC curve, industrial waste water, industrial waste gas emissions (take SO2 as a representative) and industrial solid waste are selected as the environmental indicators. GDP per capita is used as economic indicators. According to the Huaihe River in five provinces in 2004-2014 panel data of economy and environment, the Huaihe River in economic growth and the relationship between the ecological environment quality was established between per capita GDP and industrial "three wastes" model, and Eviews software system is used . The results showed that: The Huaihe River in the period of study, the five provinces of per capita GDP is the trend of increased year by year, basic industrial wastewater, industrial emissions, discharge of industrial solid waste and environmental pollution index were higher; Except for industrial waste gas pollution began to appear under the comprehensive control of partial improvement, the remaining basic rise. Therefore, in order to realize the Huaihe River basin of the coordinated development of economy and environment must follow the recycling economy, take a new road to industrialization.
- 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 - Xianze Peng AU - Zichen Zhou PY - 2016/10 DA - 2016/10 TI - The Relationship between Economic Growth and the Environmental Quality in the Huaihe River Basin BT - Proceedings of the 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016) PB - Atlantis Press SP - 219 EP - 224 SN - 2352-5401 UR - https://doi.org/10.2991/iccahe-16.2016.38 DO - 10.2991/iccahe-16.2016.38 ID - Peng2016/10 ER -