Indirect carbon emissions from household consumption of middle-income groups: Evidence from Yangtze River Economic Belt in China

Pang, Qinghua; Xiang, Min; Zhang, Lina; Chiu, Yung‐ho

doi:10.1016/j.esd.2023.101280

Cited by 5 publications

(3 citation statements)

References 52 publications

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“…The CO 2 emission composition of the surveyed families during 2021-2022 is shown in According to Figure 4, within the scope of HCE defined in this study, the proportion of HCE caused by electricity is higher than 70% in most households. Pang et al (2023) also reported that the Production and Supply of Electric Power, Steam, and Hot Water sector is responsible for 70% of the carbon emissions of middle-income households. HCE caused by gas are relatively consistent in most families, and this value is significantly higher than the general level in a few families.…”

Section: Hce Accountingmentioning

confidence: 99%

Analysis of factors influencing carbon emissions of urban households: A case study of old urban community in northern China

Xu,

Wang,

Tian

et al. 2023

Sustainable Development

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CO2 emissions reduction of urban residents is one of the main ways to mitigate climate change. Clarifying the key factors of carbon emissions can provide a reference basis for the government to formulate carbon reduction policies. The old urban community that widely exist in most cities in northern China is taken as the research object. Based on the fuzzy interpretive structural model and structural equation model, a new method is proposed to explore the influencing factors of household carbon emissions (HCEs). It is found that behavior change attitude and low‐carbon personal cognition are the two most important factors affecting HCE. Elderly families, high‐income families, and low‐education families are the groups with higher per capita HCE. Different suggestions were proposed to promote HCE reduction for the high‐income young tenants and low‐income elderly local residents in the community. In addition, by introducing multi‐agent judgment, the coupling model proposed in this study reduces the subjectivity caused by excessive reliance on single agent judgment in previous studies. It enhances the credibility of research conclusions and provides a good methodological reference for research in similar fields.

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Section: Hce Accountingmentioning

confidence: 99%

Analysis of factors influencing carbon emissions of urban households: A case study of old urban community in northern China

Xu,

Wang,

Tian

et al. 2023

Sustainable Development

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“…MRIO can reflect cross-system industry linkages (Zheng et al, 2022). The SDA has been commonly applied to analyze driving factors of CBCE combined with MRIO (Liu et al, 2015;Mi et al, 2017;Pan et al, 2018;Radwan et al, 2022;Pang et al, 2023). Previous studies mainly investigated the impact of three influencing factors, including CO2 intensity effect, intermediate commodity IO effect (ICIOE), and final demand effect Zheng et al, 2020;Su et al, 2022;Liu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Carbon Emission Drivers and Critical Paths in the Interaction of the "Local-Domestic-International" Economic Cycle - A case study of Beijing

Li,

Wei,

et al. 2024

Advances in Management and Applied Economics

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It is crucial to study the carbon emissions worldwide induced by urban consumption activities. Taking consumption-oriented city Beijing as an example, we constructed a nested multi-regional input-output model (MRIO), and measured carbon emissions and value-added in local, domestic, and international systems. Furthermore, the structural decomposition analysis (SDA) and structural path analysis (SPA) was applied to analyze cross-system driving forces and key paths of carbon emission changes. The conclusions show: (1) Beijing's consumption leads to the highest carbon emissions in the domestic system but the highest value-added in the local system. There is spatial inconsistency in carbon emissions and value-added. (2) The intermediate commodity input-output effect (ICIOE) of intra-domestic provinces is the main driving factors contributing to the reduction of carbon emissions. In contrast, the ICIOE of inter-domestic provinces is the main factor leading to the rise. (3) In the top 10 types of key paths for Beijing’s consumption-based carbon emissions (CBCE) growth, electric power and construction sectors in domestic systems are key sectors. Chemical products and transport equipment in foreign systems are key sectors for Beijing’s CBCE decrease. Our findings suggest Beijing enhancing cross-system cooperation to achieve carbon reduction targets. JEL classification numbers: R15. Keywords: Consumption-based carbon emissions, Multi-regional input-output, Structural decomposition analysis, Structural path analysis.

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“…Urban areas are the hotspots of human energy consumption, accounting for over 70% of global carbon emissions. For developing countries, residential energy consumption serves as a main engine for economic growth and a major source of regional carbon emissions [2,3]. For the rapidly urbanizing China, the direct and indirect carbon emissions caused by household consumption have driven the growth of carbon emissions over recent decades [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Carbon Emission Characteristics and Influencing Factors of Herder Households: A County-Scale Investigation of the Sanjiangyuan Region on the Qinghai–Tibet Plateau

Song,

Liu,

Xian

et al. 2023

Atmosphere

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With further urbanization, household consumption firmly plays a key role in China’s national carbon emissions. However, current research concerning carbon issues has mainly focused on urban household consumption, and few studies have paid attention to herder households, leading to a research gap in the field of low-carbon shifting related to nomadic economies. In this study, we interviewed more than one-thousand herder households in the Sanjiangyuan region of the Qinghai–Tibet Plateau in China. The household carbon emissions and their influencing factors were investigated across the herder households of 15 counties. Our findings revealed the following: (1) There exist differences in the amounts of household carbon emissions and their compositions in the Sanjiangyuan region. From the perspective of spatial distribution, the emission hotspots are mainly concentrated in the eastern part of the Sanjiangyuan region. (2) At the prefecture level, average personal emissions were larger in the Hainan Prefecture (3.26 t ce/year), while they were approximately 1.36 times that of the Huangnan Prefecture (2.4 t ce/year), though with smaller personal emissions. The indirect carbon emissions of the four prefectures all occupied larger percentages of household carbon emissions that were mainly contributed by food consumption and housing. (3) Family type was the main diver influencing personal carbon emissions in the Huangnan Prefecture, Guoluo Prefecture, and Yushu Prefecture. The more people living in the household, the lower the per capita carbon emissions. However, the effect size of potential carbon reductions was weakened when the number of family members rose to over three. (4) We propose that grazing prohibitions and low-carbon dietary shifts would contribute to low-carbon herder livelihoods, especially for small-sized households that should be peer-to-peer targeted by regional government propaganda, which may help to strengthen the implementation of in-depth low-carbon promotions across the Sanjiangyuan region and even the overall Qinghai–Tibet Plateau.

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Indirect carbon emissions from household consumption of middle-income groups: Evidence from Yangtze River Economic Belt in China

Cited by 5 publications

References 52 publications

Analysis of factors influencing carbon emissions of urban households: A case study of old urban community in northern China

Analysis of factors influencing carbon emissions of urban households: A case study of old urban community in northern China

Carbon Emission Drivers and Critical Paths in the Interaction of the "Local-Domestic-International" Economic Cycle - A case study of Beijing

Analysis of Carbon Emission Characteristics and Influencing Factors of Herder Households: A County-Scale Investigation of the Sanjiangyuan Region on the Qinghai–Tibet Plateau

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