Inter-regional and sectoral linkage analysis of air pollution in Beijing-Tianjin-Hebei (Jing-Jin-Ji) urban agglomeration of China

被引:89
作者
Wang, Yuan [1 ]
Liu, Huiwen [1 ]
Mao, Guozhu [1 ]
Zuo, Jian [2 ]
Ma, Junling [1 ]
机构
[1] Tianjin Univ, Sch Environm Sci & Engn, Tianjin, Peoples R China
[2] Univ Adelaide, ECIC, Sch Architecture & Built Environm, Adelaide, SA 5005, Australia
关键词
Multi-region input-output model (MRIO); Jing-Jin-Ji; SO2; Soot; Dust; NOx; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; INTERNATIONAL-TRADE; CONSUMPTION; ENERGY; IMPACTS; MODEL; LEVEL; SO2;
D O I
10.1016/j.jclepro.2017.07.210
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Air pollution presents one of most significant environmental issues in China, especially in the Beijing Tianjin -Hebei (Jing-Jin-Ji) urban agglomeration. With the release of "The Outline of Coordinated Development for Beijing-Tianjin-Hebei region", air quality in the Jing-Jin-Ji urban agglomeration has drawn wide concern. This study aims to provide a better understanding of inter-regional and sectoral linkages of air pollutants emissions and to identify key sectors that contribute to the transfer of embodied emissions in Beijing-Tianjin-Hebei region of China. A modified inter-regional and sectoral model was developed in this study for embodied emission flows based on the Multi-region input-output table. According to this model, transfer patterns of embodied air pollutant emissions (SO2, Soot, Dust and NOR) flows in Jing-Jin-Ji urban agglomeration were analyzed. Similarly, the driving forces of the flows were examined. Results show that the transfer pattern of the most significant NTE flow was the same for SO2 (18.8 kt), Soot (26.3 kt), Dust (12.8 kt) and NOx (29.9 kt), i.e. from the Nonmetal Products sector of Hebei province to the Construction sector of Beijing. This flow accounted for 35.7%, 45.5%, 36.7%, 42.0% of the total embodied emissions of SO2, Soot, Dust, NOx from Hebei province to Beijing respectively. Similarly, this study revealed that the contribution of Scale effect, Intensity effect and Structure effect was about 40%, 40% and 20% for the NTE from Hebei province to Beijing, respectively. Policy interventions were proposed accordingly. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1436 / 1444
页数:9
相关论文
共 43 条
[1]   The LMDI approach to decomposition analysis: a practical guide [J].
Ang, BW .
ENERGY POLICY, 2005, 33 (07) :867-871
[2]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[3]   Tracking Inter-Regional Carbon Flows: A Hybrid Network Model [J].
Chen, Shaoqing ;
Chen, Bin .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2016, 50 (09) :4731-4741
[4]   The carbon footprint of UK households 1990-2004: A socio-economically disaggregated, quasi-multi-regional input-output model [J].
Druckman, Angela ;
Jackson, Tim .
ECOLOGICAL ECONOMICS, 2009, 68 (07) :2066-2077
[5]   Model based analysis of future land-use development in China [J].
Fischer, G ;
Sun, LX .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2001, 85 (1-3) :163-176
[6]   Mineral dust and NOx promote the conversion of SO2 to sulfate in heavy pollution days [J].
He, Hong ;
Wang, Yuesi ;
Ma, Qingxin ;
Ma, Jinzhu ;
Chu, Biwu ;
Ji, Dongsheng ;
Tang, Guiqian ;
Liu, Chang ;
Zhang, Hongxing ;
Hao, Jiming .
SCIENTIFIC REPORTS, 2014, 4
[7]   Examining Air Pollution in China Using Production- And Consumption-Based Emissions Accounting Approaches [J].
Huo, Hong ;
Zhang, Qiang ;
Guan, Dabo ;
Su, Xin ;
Zhao, Hongyan ;
He, Kebin .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (24) :14139-14147
[8]   Linking national food production to global supply chain impacts for the energy-climate challenge: the cases of the EU-27 and Turkey [J].
Kucukvar, Murat ;
Samadi, Hamidreza .
JOURNAL OF CLEANER PRODUCTION, 2015, 108 :395-408
[10]  
[李方一 Li Fangyi], 2013, [地理学报, Acta Geographica Sinica], V68, P791