Methane emissions of major economies in 2014: A household-consumption-based perspective

Yao, Zhilei; Wu, Xudong; Guan, ChengHe; Zhang, Bo

doi:10.1016/j.scitotenv.2020.144523

Cited by 8 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quantifying the emissions of a country or region is the first step towards reducing greenhouse gas emissions [90]. This study selects regional final energy consumption data to measure regional carbon emissions, with data from the "China Energy Statistics Yearbook".…”

Section: Measurement Of the Regional Emission Peakmentioning

confidence: 99%

Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China

Wang

Zhou

et al. 2022

IJERPH

View full text Add to dashboard Cite

Owing to the surge in greenhouse gas emissions, climate change is attracting increasing attention worldwide. As the world’s largest carbon emitter, the achievement of emission peak and carbon neutrality by China is seen as a milestone in the global response to the threat. By setting different “emission peak” and “carbon neutrality” paths, this study compares the different pathways taken by China towards regional emission reduction to illustrate China’s possible contribution to global emission reduction, and analyzes the role that China’s economy, population, and technology need to play in this process through the Stochastic Impacts by Regression on Population, Affluence, and Technology model. In terms of path setting, based on actual carbon emissions in various regions from 2000 to 2019 and grid data on land use from 2000 to 2020, the model simulates three emission peak paths to 2030 and two carbon neutrality paths to 2060, thus setting six possible carbon emission trends from 2000 to 2060 in different regions. It is found that the higher the unity of policy objectives at the emission peak stage, the lower the heterogeneity of the inter-regional carbon emission trends. In the carbon neutrality stage, the carbon emissions in the unconstrained symmetrical extension decline state scenario causes the greatest environmental harm. Certain regions must shoulder heavier responsibilities in the realization of carbon neutrality. The economic development level can lead to a rise in carbon emissions at the emission peak stage and inhibit it at the carbon neutrality stage. Furthermore, the dual effects of population scale and its quality level will increase carbon emissions at the emission peak stage and decrease it at the carbon neutrality stage. There will be a time lag between the output of science and technology innovation and its industrialization, while green innovation is a key factor in carbon neutrality. Based on the results, this study puts forward policy suggestions from a macro perspective to better realize China’s carbon emission goals.

show abstract

Section: Measurement Of the Regional Emission Peakmentioning

confidence: 99%

Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China

Wang

Zhou

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…14 A large number of studies attributed the resources and emissions from production to consumption. 15 However, the mechanisms through which consumption activities induce CH4 emissions via intermediate steps and track back to production activities in the supply chain remain unclear. As a supplement, environmental extended input-output analysis (EEIOA) is considered the most widely accepted macroeconomic method to analyse the connection between industry sectors and environmental flows in terms of environmental emissions.…”

Section: Introductionmentioning

confidence: 99%

The temporal variation of CH 4 emissions embodied in Chinese supply chains, 2000-2020

Wu,

Chen,

Sun

et al. 2024

Preprint

View full text Add to dashboard Cite

Although the issue of embodied pollutants in China's supply chains has garnered increasing attention, the dynamic changes occurring within them are unclear. Several existing studies analyse one-year or short-term data in supply chain; however, conducting long-term analyses can yield a deeper understanding of the dynamic changes across the entire supply chain—from production to consumption. This study uses the environmentally extended input–output analysis (EEIOA) and structural path analysis (SPA) methods to investigate the dynamic variation of China’s embodied CH4 emissions in 20 economic sectors from 2000 to 2020, aiming to determine the key supply chain and key sectors. The results reveal that from the final demand perspective, the sector with the highest embodied CH4 emissions has changed from “Agriculture” in 2000 to “Construction” in 2010 to “Other service and activities’ in 2020. The top listed supply chain path of embodied CH4 emissions has also evolved (starting from production to consumption) from “Agriculture→Rural consumption” in 2000 to “Agriculture→Food and tobacco→Urban consumption” in 2010 to “Agriculture→ Urban consumption” in 2020. Notably, the high ranked path, “Agriculture→Food and tobacco→Rural consumption”, shows that the embodied CH4 emission flowing between agriculture and the food industry cannot be ignored. The supply chain path “Coal Mining→Nonmetal Mineral Products→Construction→Capital Formation” has risen from the 17th position in 2000 to the 3rd position in 2020. Thus, it is necessary to control CH4 emissions from sectors upstream, which are predominantly influenced by the construction industry, and a coordinated effort between sectors is also required to effectively reduce emissions. This study provides a comprehensive analysis of China's supply chain over the past two decades. In particular, it suggests policy interventions by controlling critical supply chain paths and key sectors associated with embodied CH4 emission, thereby facilitating the coordinated reduction of anthropogenic CH4 emissions.

show abstract

Global trade networks bring targeted opportunity for energy-related CH4 emission mitigation

Yan

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

Methane emissions of major economies in 2014: A household-consumption-based perspective

Cited by 8 publications

References 41 publications

Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China

Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China

The temporal variation of CH 4 emissions embodied in Chinese supply chains, 2000-2020

Global trade networks bring targeted opportunity for energy-related CH4 emission mitigation

Contact Info

Product

Resources

About