摘要
以EKC模型的相关理论为基础,结合广东省2000-2014年数据,构建了工业废水排放量以及城镇生活污水排放量与人均GDP的回归模型。结果显示:工业废水排放量与人均GDP之间呈现出"N"型的EKC曲线,而城镇生活污水排放量与人均GDP之间则呈现为正"U"型的EKC曲线,并且未来几年广东省的工业废水排放量以及城镇生活污水排放量将会随着经济增长而持续上升。面对广东省水环境污染的严峻形势,主张从源头控制、治理技术、运行管理、环保意识4个方面提出水环境污染的治理路径。
On the basis of the relevant theories of EKC model, combined with the data from 2000 to 2014 in Guangdong province, the regres- sion model between GDP per capita and industrial waste emissions, urban sewage emissions is constrdcted in this paper.The result shows that there is a ＂N＂ curve relation between the industrial waste emissions and GDP per capita and a ＂U＂ curve relation between urban sewage e- missions and GDP per capita. In the coming years, the industrial waste emissions and urban sewage emissions will escalate with the continu- ous growth of economy. Facing the severe situation of water environment pollution in Guangdong province, this paper puts forward the govern- ance path from four aspects, including source control, management technology, operation management, environmental consciousness.
出处
《节水灌溉》
北大核心
2016年第12期68-71,75,共5页
Water Saving Irrigation
关键词
广东省
水环境污染
经济增长
回归分析
Guangdong province
water environment pollution
economic growth
regression analysis
