Temporal And Spatial Decomposition Analysis Of Factors Driving Industrial Pollutant Emissions:A Whole Process Treatment Perspective

Effectively controlling induatrial pollutant emissons has become an important issue for international society.China is also facing the critical induatrial pollution problem in the process of industrialization and urbanization.It is of great pratical significance to explore social-economic driving factors of industrial pollutant emissions for establishing targeted pollution treatment policies both in temporal variation and spatial difference persprctives.From the perspective of whole process treatment(WPT),this paper uses Kaya identity to decompose the industrial pollutanets emissions into three stages(i.e.source prevention,process control and end-of-pipe treatment)and economic scale,including nine driving factors.Combining the temporal index decomposition analysis(Temporal-IDA),attribution analysis(AA)and spatial index decomposition analysis(Spatial-IDA)methods,this paper explores the temporal variation trend and spatial development characteristics of each stage in the WPT.Using the 2010-2015 datasets of China’s induatrial SO2 emissioms,the empirical analysis is conducted and the main results are as follows.(1)End-of-pipe treatment palys a dominant role in reducing industrial SO2 emissions.Process control is the second largest contributor to the decrease of industrial SO2 emissions,while the change in source prevention has less effect on industrial SO2 emissions reduction.This indicates that the pattern of ‘‘pollute first,govern later” has not yet been fundamentally reversed,and the emissions reduction potential of source and process stages should be further explored;(2)End-of-pipe treatment strength and energy intensity significantly promote induatrial SO2 emissions reduction.Conversely,investment intensity and coal pollution intensity are the main factors hindering decreases in industrial SO2 emissions.The contributions of different provinces are various among these four key driving factors;(3)Based on the temporal and spatial decomposition results of each province’s industrial SO2 emissions,all the provinces can be divided into different types,where targeted WPT improvement measures shoud be different among various types.Finally,this paper proposes several policy implications for promoting industrial SO2 emiossions in terms of further strengthening the WPT model,making up the shortcomings of the driving factors from WPT,implementing regional differential WPT improvement strategy,and establishing a dynamic monitoring system for WPT performance.