摘要
氮氧化物减排作为经济转型发展中的重要环节,需要探索促进区域均衡发展的差异化协调减排政策。文章首先利用对数平均Divisia指数分解模型(LMDI法)将氮氧化物排放分解为排放因子、能源强度、经济结构、能源结构和经济发展5个因素得出2005-2015年中国30个省市氮氧化物排放与经济增长脱钩系数;然后,按照全国氮氧化物排放脱钩系数的平均水平,将其离散化为低、中低、中高和高4种类型构建其马尔可夫转移概率矩阵,考察其排放脱钩是否存在趋同现象;最后,引入空间滞后因素,构造其空间马尔可夫转移概率矩阵,分析在不同周围背景影响下氮氧化物排放脱钩的动态演化规律。结果表明,中国氮氧化物排放与经济增长脱钩系数呈现逐年上升趋势,且存在低脱钩、中低脱钩、中高脱钩及高脱钩4个趋同俱乐部;中国氮氧化物排放脱钩类型转移受周围背景的影响明显,在不同区域背景下同一类型的转移概率有所变化,同一区域背景下不同区域类型的转移概率不尽相同,且周围背景强化了区域氮氧化物排放脱钩的俱乐部趋同现象。通过对氮氧化物排放脱钩系数量化的减排绩效的时空动态变化进行分析可为氮氧化物区域协调减排提供参考建议。
As an important part of economic development,it is essential to explore coordinated and different regional NO x emission reduction emission policies to promote the balanced development in China.First,the log-mean Divisia index(LMDI)technique was used to decompose the changes in NO x emission into 5 effects that were NO x intensity effect,energy structure effect,energy intensity effect,economic structure effect and economic development effect,then 30 provincial decoupling indexes between NO x emissions and economic grown were implemented in 2005-2015.Next,all the decoupling indexes data were classified into 4 different classes(low,middle-low,middle-high and high)and Markov transition probability matrix was estimated to explore whether the convergence of decoupling indexes between NO x emissions and economic grown exists during the study period.Finally,spatial Markov matrices were constructed to investigate decoupling indexes transition probability of different regions and their neighbors,and spatial Markov-chain transition matrix was accordingly made in order to visualize the dynamic evolution law.The decomposition result showed that NO x emission decoupling index in China showed a rising trend year by year,and there were four convergence clubs such as low decoupling,middle low decoupling,middle high decoupling and high decoupling.The improvement of one region's NO x emission decoupling was influenced by its neighbors:different regional backgrounds made different transition probabilities for the same class;different classes had different transition probabilities with the same regional background.The neighbors strengthened the convergence of decoupling indexes between NO x emissions and economic grown.Based on NO x emission reduction performance dynamic evolution,the paper puts forward reasonable references for the regional harmonization of NO x emission reduction.
作者
王丽琼
WANG Liqiong(School of Resources & Environmental Science, Quanzhou Normal University, Quanzhou 362000, China)
出处
《生态环境学报》
CSCD
北大核心
2019年第1期90-96,共7页
Ecology and Environmental Sciences
基金
福建省科技厅科技计划项目(2016J01694)
泉州市科技局科技项目(2018Z023)
关键词
氮氧化物
脱钩
减排绩效
空间马尔科夫链
NO x emissions
decoupling
emission reduction performance
spatial Markov chains
作者简介
王丽琼(1979年生),女,副教授,硕士,研究方向为环境经济学。E-mail:linqianshu@126.com
