Hybrid input-output analysis for life-cycle energy consumption and carbon emissions of China’s building sector

2016 ◽  
Vol 104 ◽  
pp. 188-197 ◽  
Author(s):  
Xiaocun Zhang ◽  
Fenglai Wang
2021 ◽  
Author(s):  
Csilla Demeter ◽  
Pei-Chun Lin ◽  
Ya-Yen Sun ◽  
Sara Dolnicar

The tourism industry contributes eight percent to global carbon emissions, directly and indirectly. Indirect carbon emissions are often neglected because they are difficult to calculate. The traditional approach to calculating indirect emissions – Life Cycle Assessment – is expensive and requires an expert data analyst. We introduce an alternative approach, the Environmentally Extended Input-Output Analysis. We show how this approach – currently used at macro-level to estimate carbon emissions at national or regional level – can be applied to the business level using carbon emissions generated by one hotel room clean as an example. Our comparative analysis shows that Environmentally Extended Input-Output Analysis leads to similar results as Life Cycle Assessment, while being substantially cheaper and more user-friendly. Environmentally Extended Input-Output Analysis, we conclude, enables tourism businesses to estimate the indirect carbon emissions of their operations, which is the key to identifying target areas for improvement.


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

2017 ◽  
Vol 29 ◽  
pp. 75-81 ◽  
Author(s):  
Alexandra Marques ◽  
Francesca Verones ◽  
Marcel TJ Kok ◽  
Mark AJ Huijbregts ◽  
Henrique M Pereira

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.


2013 ◽  
Vol 357-360 ◽  
pp. 869-875
Author(s):  
Gi Wook Cha ◽  
Won Hwa Hong ◽  
Sung Woo Shin

In recent year, Korea relies on imports for most of the iron ore, the main raw material of rebar, resulting in CO2 pollution with lots of energy consumption. Hereupon, this study carried out the research on the energy consumption and CO2 emissions of the recycled rebar using the wasted steel from building demolition. For that, this study worked out the energy consumption and CO2 emissions in the process of generation, transportation and production of wasted steel and, on the basis of which, it conducted the comparative study with virgin materials. The major research results are as follows: First, the energy consumption and CO2 emissions of the recycled rebar were found to be highest in the process of its production at 89.2% and 85%, respectively. In addition, in the comparison between recycled rebar and virgin material, the former was found to be most advantageous in energy consumption. On the contrary, as for CO2 emissions, the recycled rebar showed a 88.3% reduction possibility of greenhouse gas (GHG) emissions comparing to statistics of input-output analysis based on competition inducement coefficient, but it was found to be more disadvantageous from the perspective of GHG reduction than the statistics of input-output analysis based on non-competition inducement coefficient.


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