江西省经济增长与工业“三废”排放关系及其驱动因素分析——基于EKC和LMDI模型  

作　　者：赵蕾 胡绵好 

机构地区：[1]江西财经大学旅游与城市管理学院,江西南昌330032 [2]江西财经大学生态经济研究院,江西南昌330032

出　　处：《环境保护与循环经济》2019年第2期15-21,共7页environmental protection and circular economy

基　　金：国家自然科学基金项目(21367013);江西省自然科学基金项目(20151BAB203034)

摘　　要：通过EKC理论、LMDI模型,研究江西省1998—2017年工业"三废"排放与经济增长的关系,分析工业"三废"排放量与经济增长之间的拟合曲线特征,并对工业"三废"排放的驱动因素进行了研究。研究结果表明,工业废水与人均GDP的演变轨迹呈N型,而工业废气和工业固废与人均GDP的拟合曲线均符合典型的EKC曲线特征,呈现倒U型;经济水平效应是促进工业"三废"排放的主要推动力;清洁技术效应是抑制工业废水和工业固废排放的主要因素,而清洁技术效应对工业废气的排放有正向驱动作用;能源效率效应减缓了工业"三废"的排放;工业人口的扩大也使得工业"三废"排放增加,据此提出相应建议。Through EKC theory and LMDI model,this paper studies the relationship between industrial "three wastes" emission and economic growth in Jiangxi Province in 1998-2017,analyzes the characteristics of fitting curve between industrial "three wastes" emissions and economic growth,and studies the driving factors of industrial "three wastes" emission. The results show that:The evolution trajectory of industrial waste water and GDP per capita is N type,while the fitting curves of industrial waste gas and industrial waste solid and GDP per capita conform to typical EKC curve features,presenting classic inverted U type;economic level effect is the main impetus to promote industrial "three wastes" emissions,the effect of cleaning technology is the main factor to restrain the emission of industrial waste water and industrial solid waste,while the clean technology effect has a positive effect on the emission of industrial waste gas,the energy efficiency effect slows down the emission of industrial three wastes,and the expansion of industrial population also makes industrial "three wastes"emissions increase.Accordingly,the corresponding suggestion is made.

关 键 词：EKC LMDI 工业“三废” 排放 经济增长 

分 类 号：X22[环境科学与工程—环境科学]