广东省工业“三废”EKC曲线检验及影响因素研究——基于Kaya恒等式与LMDI分解法

发布时间：2018-05-08 02:37

本文选题：环境库兹涅茨曲线 + Kaya恒等式　；参考：《生态经济》2017年06期

【摘要】：在对广东省工业"三废"EKC曲线进行验证的基础上,运用Kaya恒等式把工业"三废"排放的影响因素分解为清洁生产技术水平、工业GDP单位能耗、工业经济发展水平和工业人口规模四个维度,并用LMDI分解法分析各因素的作用机制。研究结果显示:工业废水与废固符合三次多项式的EKC曲线拟合特征,工业废气与经济发展水平之间呈单调递增关系;清洁生产技术水平和工业GDP单位能耗对污染物排放具有负向抑制作用,工业经济发展水平和工业人口规模则对污染物排放具有正向促进作用。
[Abstract]:Based on the verification of the EKC curve of the industrial "three wastes" in Guangdong Province, the influencing factors of industrial "three wastes" emissions are decomposed into the level of cleaner production technology and the unit energy consumption of industrial GDP by using the Kaya identity. The development level of industrial economy and the scale of industrial population are four dimensions, and the mechanism of each factor is analyzed by LMDI decomposition method. The results show that industrial waste water and solid waste accord with the EKC curve fitting characteristic of cubic polynomial, and the relationship between industrial waste gas and economic development level is monotone increasing. The level of cleaner production technology and the energy consumption per unit of industrial GDP have a negative effect on pollutant emission, while the level of industrial economic development and the scale of industrial population have a positive effect on pollutant emission.
【作者单位】：华南农业大学数学与信息学院;
【基金】：广东省自然科学基金项目“基于智能集成建模技术的农产品市场预测预警研究”(2016A030313402) 广东省哲学社会科学规划项目“我国惠农政策的成效评价研究:基于公共品供给效率视角”(GD15CGL16) 广东省哲学社会科学“十二五”规划共建项目“城市化进程中广东省生态竞争力现状评价及提升路径研究”(GD14XGL27)
【分类号】：F427;X70

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