The impact of urbanization and consumption patterns on China’s black carbon emissions based on input–output analysis and structural decomposition analysis

2020 ◽  
Vol 28 (3) ◽  
pp. 2914-2922
Author(s):  
Zhongci Deng ◽  
Ping Kang ◽  
Zhen Wang ◽  
Xiaoling Zhang ◽  
Weijie Li ◽  
...  
2019 ◽  
Vol 11 (24) ◽  
pp. 7157 ◽  
Author(s):  
Xiaoyu Liu ◽  
Xian’en Wang ◽  
Junnian Song ◽  
Haiyan Duan ◽  
Shuo Wang

A rise in China’s economy and urbanization has brought about obvious growth in the carbon footprints of urban households over the past years. In this study, input–output analysis was adopted to calculate the carbon footprints of urban households in China. Furthermore, a detailed analysis of the impact factors on indirect carbon footprints was carried out by using the structural decomposition analysis at both holistic and sectoral levels. The results showed that the carbon footprints of urban households were 941.37 MtCO2 in 2002, 1498.11 MtCO2 in 2007, and 2139.50 MtCO2 in 2012. Electricity was the main contributor to the direct urban household carbon footprints, accounting for over 40%. The category of “household facilities” contributed the most to indirect carbon footprints (306.00 MtCO2) in 2012, and the “transportation” had the fastest growth rate (395%) during 2002–2012. The industrial sector of “wearing apparel” had the largest increments (139.92 MtCO2) in carbon footprints during the past decade. Generally, consumption level and population size presented positive effects on the increments in indirect carbon footprints, while emission intensity decreased indirect carbon footprints. However, the impact of consumption structure and intermediate demand on indirect carbon footprints varied at holistic and sectoral levels. The mitigation efforts should focus on reducing emission intensity, shifting consumption structure and changing intermediate demand.


2015 ◽  
Vol 48 (16) ◽  
pp. 1515-1529 ◽  
Author(s):  
Yuhuan Zhao ◽  
Song Wang ◽  
Jiaqin Yang ◽  
Zhonghua Zhang ◽  
Ya Liu

2012 ◽  
Vol 11 (1) ◽  
pp. 152-164
Author(s):  
Jan T. Mizgajski

Abstract This study analyses the embodied carbon in the trade flows between Poland and Germany. The calculations are based on data from Eurostat and OECD for 2008. The study uses input-output analysis, which allows the assignment of responsibility to individual flows for generating specific amounts of emissions in the economy. It demonstrates that Polish exports to Germany contain significantly more embodied carbon than do imports from Germany, despite the fact that the value of imports is higher. Moreover, it is found that Polish-German trade flows were responsible for more CO2 emissions that Lithuania and Latvia emitted together in 2008.


2019 ◽  
Vol 25 (12) ◽  
pp. 2432-2450 ◽  
Author(s):  
Antoine Beylot ◽  
Sara Corrado ◽  
Serenella Sala

Abstract Purpose Trade is increasingly considered a significant contributor to environmental impacts. The assessment of the impacts of trade is usually performed via environmentally extended input–output analysis (EEIOA). However, process-based life cycle assessment (LCA) applied to traded goods allows increasing the granularity of the analysis and may be essential to unveil specific impacts due to traded products. Methods This study assesses the environmental impacts of the European trade, considering two modelling approaches: respectively EEIOA, using EXIOBASE 3 as supporting database, and process-based LCA. The interpretation of the results is pivotal to improve the robustness of the assessment and the identification of hotspots. The hotspot identification focuses on temporal trends and on the contribution of products and substances to the overall impacts. The inventories of elementary flows associated with EU trade, for the period 2000–2010, have been characterized considering 14 impact categories according to the Environmental Footprint (EF2017) Life Cycle Impact Assessment method. Results and discussion The two modelling approaches converge in highlighting that in the period 2000–2010: (i) EU was a net importer of environmental impacts; (ii) impacts of EU trade and EU trade balance (impacts of imports minus impacts of exports) were increasing over time, regarding most impact categories under study; and (iii) similar manufactured products were the main contributors to the impacts of exports from EU, regarding most impact categories. However, some results are discrepant: (i) larger impacts are obtained from IO analysis than from process-based LCA, regarding most impact categories, (ii) a different set of most contributing products is identified by the two approaches in the case of imports, and (iii) large differences in the contributions of substances are observed regarding resource use, toxicity, and ecotoxicity indicators. Conclusions The interpretation step is crucial to unveil the main hotspots, encompassing a comparison of the differences between the two methodologies, the assumptions, the data coverage and sources, the completeness of inventory as basis for impact assessment. The main driver for the observed divergences is identified to be the differences in the impact intensities of goods, both induced by inherent properties of the IO and life cycle inventory databases and by some of this study’s modelling choices. The combination of IO analysis and process-based LCA in a hybrid framework, as performed in other studies but generally not at the macro-scale of the full trade of a country or region, appears a potential important perspective to refine such an assessment in the future.


2000 ◽  
Vol 26 (1) ◽  
pp. 17-30 ◽  
Author(s):  
L.C. Stilwell ◽  
R.C.A. Minnitt ◽  
T.D. Monson ◽  
G. Kuhn

Energy Policy ◽  
2013 ◽  
Vol 57 ◽  
pp. 263-275 ◽  
Author(s):  
M. Markaki ◽  
A. Belegri-Roboli ◽  
P. Michaelides ◽  
S. Mirasgedis ◽  
D.P. Lalas

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