Exploring the indirect household carbon emissions by source: Analysis on 49 Japanese cities

Long, Yin; Yoshida, Yoshikuni; Dong, Liang

doi:10.1016/j.jclepro.2017.08.159

Cited by 65 publications

(29 citation statements)

References 25 publications

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“…In order to reduce the error caused by crossing terms, the two-pole decomposition method is applied to obtain Equation (7).…”

Section: Global Mrio-sda Methodsmentioning

confidence: 99%

“…In the post-Paris era, urban emissions have received worldwide attention as cities are considered to be responsible for most of the world's environmental. Cities accommodate more than half of the world's population and are responsible for most of the global environmental footprints of carbon and resource consumption [7]. Based on the refined IOA approach, Mi et al [8] assessed the potential impacts of industrial structures on energy consumption and CO 2 emissions through a case study on Beijing, and suggested that cap-and intensity-based targets should be balanced in emissions reduction strategies.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions

Gao

Wang

et al. 2019

Energies

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The trends of consumption-based emissions in China have a major impact on global greenhouse gas (GHG) emissions. Previous studies have only focused on China's energy-related consumption-based emissions of CO 2 or specific non-CO 2 GHGs without taking overall consumptionbased non-CO 2 GHG emissions into account. Based on a constructed global non-CO 2 GHG emissions database, combined with CO 2 emissions data, this paper fills this gap through an examination and analysis of China's GHG emissions using a global multi-regional input-output (MRIO) model for 2004, 2007 and 2011, and identifies the major factors driving changes in consumption-based emissions through a structural decomposition analysis (SDA). The results show that compared with CO 2 emissions, CH 4 , N 2 O and F-gases emissions all increased more rapidly. Among consumption-based non-CO 2 GHG emissions, investment-based emissions experienced the fastest growth, but the net exports of non-CO 2 GHG emissions dropped drastically in recent years. While investment in total final consumption demand is the most influential factor for CO 2 emissions, household consumption most significantly affects the growth in consumption-based non-CO 2 GHG emissions.

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“…In order to reduce the error caused by crossing terms, the two-pole decomposition method is applied to obtain Equation (7).…”

Section: Global Mrio-sda Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions

Gao

Wang

et al. 2019

Energies

View full text Add to dashboard Cite

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“…Consumption habits at the household-level are highly behavior-driven, suggesting that an understanding of household consumption patterns can produce environmental benefits (Froemelt, Dürrenmatt, & Hellweg, 2018). Accordingly, analyses of household consumption and its corresponding environmental impact have proliferated in recent years, focused not just on the evaluation of household direct and indirect emissions (Büchs & Schnepf, 2013;Long, Yoshida, & Dong, 2017;Reinders, Vringer, & Blok, 2003;Zhu, Peng, & Wu, 2012), but also on the driving forces (Y. Shigetomi, Nansai, Kagawa, & Tohno, 2014;Wang, Liu, & Yin, 2014) as well as the potential impact factors (such as lifestyle) (Froemelt et al, 2018;H.…”

Section: Introductionmentioning

confidence: 99%

Unequal age-based household emission and its monthly variation embodied in energy consumption – A cases study of Tokyo, Japan

et al. 2019

Self Cite

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City is the main place to consume goods and services throughout the world. Among the various consumption terminals, household-level consumption is highly behavior driven, which can be affected by various factors such as household income level, age, living environment etc. However, city-level household emissions characteristics are still not fully understood due to the complexity of consumption behaviors and the lack of the supply chain's data. To include the environmental responsibility embodied in residential consumption and reveal the how it varies among household type and season, this study investigated city-level household consumption as it relates to energy demand using a cityscale input-output model and urban residential consumption inventories. Importantly, age-and monthbased emission are analyzed from different aspects such as emission type, source, fuel types and consumption items. Findings indicate that 1) household emissions differ substantially among the various household age groups; older households generally produce higher emissions levels on a per 1 The short version of the paper was presented at CUE2018, Jun 5-7, Shanghai, China. This paper is a substantial extension of the short version of the conference paper. 2 capita basis; 2) decreases in temperature are the main reason for the increased emissions in older households, while this is not a significant factor in younger households; 3) the high per capita household emissions in older households indicate inefficient energy usage among elder citizens, which strongly suggests that aging societies will face long-term emissions increases if appropriate measures are not taken.

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“…In this method, direct GHG emissions per monetary unit (Japanese yen) are calculated based on the fuel consumption and resource input for each industrial sector, and the indirect burden through the supply chain is also quantified by using the Leontief inverse matrix [7]. This method was applied in Japan to determine, for instance, the carbon footprints of principal cities [8] and medical services [9]. Relationship between scale of carbon footprint and calculation approach (adapted from [10]).…”

Section: Introductionmentioning

confidence: 99%

Projection of National Carbon Footprint in Japan with Integration of LCA and IAMs

et al. 2019

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In order to achieve target greenhouse gas (GHG) emissions, such as those proposed by each country by nationally determined contributions (NDCs), GHG emission projections are receiving attention around the world. Generally, integrated assessment models (IAMs) are used to estimate future GHG emissions considering both economic structure and final energy consumption. However, these models usually do not consider the entire supply chain, because of differences in the aims of application. In contrast, life cycle assessment (LCA) considers the entire supply chain but does not cover future environmental impacts. Therefore, this study aims to evaluate the national carbon footprint projection in Japan based on life cycle thinking and IAMs, using the advantages of each. A future input–output table was developed using the Asia-Pacific integrated model (AIM)/computable general equilibrium (CGE) model (Japan) developed by the National Institute for Environmental Studies (NIES). In this study, we collected the fundamental data using LCA databases and estimated future GHG emissions based on production-based and consumption-based approaches considering supply chains among industrial sectors. We targeted fiscal year (FY) 2030 because the Japanese government set a goal for GHG emissions in 2030 in its NDC report. Accordingly, we set three scenarios: FY2005 (business as usual (BAU)), FY2030 (BAU), and FY2030 (NDC). As a result, the carbon footprint (CFP) in FY2030 will be approximately 1097 megatons of carbon dioxide equivalent (MtCO₂eq), which is 28.5% lower than in FY2005. The main driver of this reduction is a shift in energy use, such as the introduction of renewable energy. According to the results, the CFP from the consumption side, fuel combustion in the use stage, transport and postal services, and electricity influence the total CFP, while results of the production side showed the CFP of the energy and material sectors, such as iron and steel and transport, will have an impact on the total CFP. Moreover, carbon productivity will gradually increase and FY2030 (NDC) carbon productivity will be higher than the other two cases.

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Exploring the indirect household carbon emissions by source: Analysis on 49 Japanese cities

Cited by 65 publications

References 25 publications

A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions

A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions

Unequal age-based household emission and its monthly variation embodied in energy consumption – A cases study of Tokyo, Japan

Projection of National Carbon Footprint in Japan with Integration of LCA and IAMs

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