Estimation and decomposition analysis of carbon emissions from the entire production cycle for Chinese household consumption

Cao, Qingren; Kang, Wei; Xu, Shichun; Sajid, Muhammad Jawad; Cao, Ming

doi:10.1016/j.jenvman.2019.06.044

Cited by 88 publications

(32 citation statements)

References 43 publications

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“…There was a huge gap concerning the China's urban and rural household embodied emissions from inter and intra-sectoral carbon consumption. This is a well-established fact now, that the carbon footprint from the Chinese urban household consumption is far superior than that from its rural household consumption 1,9,11,28,29 . Urban household embodied inter-sectoral carbon consumption with a compound annual growth rate (CAGR) of approximately 18% increased sharply over time, while rural household embedded inter-sectoral CO 2 consumption witness only a 2% growth rate.…”

Section: Results Carbon Emissions From the Total And Household Inducementioning

confidence: 99%

“…The household consumption related indirect carbon emissions can be 'redefined' and 'recalculated' by employing the input-output model 8 . Recently, some studies 1,9 used the input-output model considering the capital formation as a productive industry, estimated the direct and embodied emissions of the Chinese urban and rural household consumption; these works state that it's very important to correctly guide Chinese household consumption behaviour in order to achieve a cost-efficient reduction of industrial carbon emissions. There are also various other studies which have employed the usual input-output model (treating capital formation as a final demand category) to establish various facts about Chinese household embodied industrial carbon emissions.…”

Section: And Wei Kangmentioning

confidence: 99%

See 1 more Smart Citation

Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions

Sajid

Qiao

Cao

et al. 2020

Sci Rep

Self Cite

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Section: Results Carbon Emissions From the Total And Household Inducementioning

confidence: 99%

Section: And Wei Kangmentioning

confidence: 99%

Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions

Sajid

Qiao

Cao

et al. 2020

Sci Rep

Self Cite

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show abstract

“…Direct CO 2 emissions are produced by direct energy consumption (various fossil fuels used directly by households), and indirect CO 2 emissions are related to services and products in supply chains (such as the production of televisions and houses) used by households 12 . As per the previous studies, indirect CO 2 emissions and energy consumption are much higher than direct emissions 13–17 . Indirect household energy needs are more than 60% and higher than direct needs, 18 and both indirect energy consumption and CO 2 emissions induced by household expenditure were well over half the total, 14 which could not be ignored when energy‐saving and emission‐reduction strategies are implemented.…”

Section: Introductionmentioning

confidence: 88%

Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective

Xi-yu

et al. 2020

Greenhouse Gases

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China is actively taking measures to guide the household energy-saving consumption pattern because the total household indirect energy consumption and CO 2 emissions have rapidly multiplied from 2002 to 2017 with an annual growth rate of 5.95%, and 5.56%, respectively. This paper calculates indirect energy consumption and CO 2 emissions by four energy sources (raw coal, crude oil, natural gas, and electricity), analyzes the energy structure, and conducts a structural decomposition analysis in urban and rural areas in China from 2002 to 2017. The results reveal that the indirect energy consumption and CO 2 emissions of urban households was 3.84 and 3.80 times, respectively, that of rural households in 2017 with most contributions from the 'Agriculture, Forestry, Animal Husbandry, and Fishery', 'Foods and Tobacco', and 'OTHERS' sectors. The energy consumption structure has changed. The percentage of coal consumption falls from 66.87% to 57.62%. Electricity consumption, ranked second, increased substantially from 10.77% to 22.90%. The key sectors of the energy mix have been found to help energy conservation. The high indirect energy consumption sectors with higher indirect energy intensity are the key sectors, especially the 'Processing of Petroleum, Coking and Processing of Nuclear Fuel' and 'Production and Supply of Electric Power and Heat Power'. The consumption structure effect is more obvious in urban areas than in rural areas. In the process of urbanization, its effect has little impact on urban indirect energy consumption. It implies that the focus is on optimizing consumption structure rather than reducing consumption scale.

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“…In relevant studies, some scholars have tracked the contribution of different household carbon emission sources by measuring household carbon emissions. For example, Cao et al [ 22 ] argued that household appliances and transportation had the highest carbon emission intensity, and that consumption structure and income levels were the two main factors promoting the growth of carbon emissions from households. Ma et al [ 23 ] believed that the air conditioning system, lighting density, and building envelope were the most important factors affecting building energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households

Sun

Qiao

et al. 2021

IJERPH

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Household energy conservation is an important contributor to achieve the carbon emission reduction target. However, the actual energy-saving effect of Chinese households is under expectation. One reason for this is because household energy consumption is locked in at a certain level, which has become an obstacle to household carbon emission reduction. In order to reduce this obstacle, this study explored the cause of household carbon lock-in based on grounded theory, targeting newly furnished households. A theoretical model was developed to reveal the formation mechanism of carbon lock-in effect in the purchasing process of household energy-using appliances. NVivo 12 software was used to analyze the decoration diaries of 616 sample households, and the results showed that (1) the direct antecedent of the household carbon lock-in effect was the lock-in of purchasing behavior, and the household carbon lock-in effect was mainly exhibited in the consumption path dependence (of energy-using appliances) and the solidification of energy structure; (2) the willingness to purchase household appliances was the direct antecedent of purchasing behavioral lock-in, and the cost had a moderating effect on the transformation from purchase willingness to behavioral lock-in; and (3) in the process of purchasing household appliances, reference groups, value perception, and ecological awareness can promote purchasing behavioral lock-in by affecting willingness of purchase. Suggestions to promote unlocking of household carbon were also proposed.

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Estimation and decomposition analysis of carbon emissions from the entire production cycle for Chinese household consumption

Cited by 88 publications

References 43 publications

Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions

Prospects of industrial consumption embedded final emissions: a revision on Chinese household embodied industrial emissions

Exploring the characteristics and drivers of indirect energy consumption of urban and rural households from a sectoral perspective

Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households

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