Carbon emissions of cities from a consumption-based perspective

Mi, Zhifu; Zheng, Jiantao; Meng, Jing; Zheng, Heran; Coffman, D’Maris; Woltjer, Johan; Wang, Shouyang; Guan, Dabo

doi:10.1016/j.apenergy.2018.10.137

Cited by 221 publications

(89 citation statements)

References 78 publications

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“…69,70 Carbon Emission Inventories In this study, administrative territorial scopes as defined by the Intergovernmental Panel on Climate Change (IPCC) are applied to calculate China's CO 2 emissions. 9,71,72 Emissions include both emissions from fossil fuel combustion and from cement industry processes. The former energy-related emissions are calculated as: 73,74…”

Section: Structural Decomposition Analysis (Sda)mentioning

confidence: 99%

The Slowdown in China’s Carbon Emissions Growth in the New Phase of Economic Development

et al. 2019

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Section: Structural Decomposition Analysis (Sda)mentioning

confidence: 99%

The Slowdown in China’s Carbon Emissions Growth in the New Phase of Economic Development

et al. 2019

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“…We have followed the most widely used emission factors from IPCC, while it has been argued that the IPCC default values overestimated China's CO 2 emissions, emission factors from different sources can differ by up to 40% . China's carbon emissions are on a turning point now and in the next decade; further studies compiling greenhouse gas emission inventories at the industry and the city level and considering more realistic emission factors are needed …”

Section: Discussionmentioning

confidence: 99%

“…78 China's carbon emissions are on a turning point now and in the next decade; further studies compiling greenhouse gas emission inventories at the industry and the city level and considering more realistic emission factors are needed. 79,80 Analysis of influence factors of carbon emission is usually based on index decomposition analysis or structural decomposition analysis, which obtains the contribution rate of each factor adopting data from two periods. But the results are not statistically reliable for lacking the support of longer time series data.…”

Section: Discussionmentioning

confidence: 99%

China's provincial energy‐related carbon emissions‐economy nexus: A two‐stage framework based on decoupling analysis and panel vector autoregression

Pan

Liu

Tsai

et al. 2019

Energy Science & Engineering

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China is transforming the growth model and speeding up industrial structural improvement and upgrading now and in the coming years, which means the slowdown of economic growth and more serious environmental costs in economic and social development would be the “New Normal.” As the world's largest energy consumer and carbon‐emitting country, China's emissions reduction commitments are crucial to global greenhouse gas emissions mitigation, so there is a profusion of research focused on China's economy‐environment nexus. Among which, the dynamic relationship of carbon emission and economic growth and its evolution combined the national, regional, provincial data have not been discussed thoroughly. This paper analyses the elasticity of economic performance of carbon emissions based on 30 Chinese provincial data from 2000 to 2016; furthermore, a panel vector autoregressive model is constructed to discuss the interactions of variables within environmental economic system. It is concluded that China is experiencing a turning point from weak decoupling to strong decoupling in recent years, and its economic performance of carbon emissions has been gradually improved with larger disparities among provinces though. Regression result confirms the role of the energy mix on carbon emissions, and it also indicates that the impact of most factors influencing that have been discussed in previous studies may not be direct, prominent, and for long term.

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“…For Yan'an, although there were some fluctuations in sectoral shares of total emissions, EP and HM require further decarbonization based on the latest results in 2013 and 2014. However, other considerations concerning sectoral CO 2 responsibilities could be rethought (Mi et al, 2019;Zhang, 2013), partly because sectoral CO 2 accounting from multiple perspectives could promote efficient low-carbon policies (Li et al, 2018).…”

Section: Emissions By Sectors and Energy Typesmentioning

confidence: 99%

Structural patterns of city-level CO2 emissions in Northwest China

Tian

Shan

Zheng

et al. 2019

Journal of Cleaner Production

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In Northwest China, quantifying city-level CO 2 emissions is fundamental to CO 2 alleviation but encounters difficulties in data availability and quality. Further, structuring citylevel emissions could be conductive to CO 2 reduction. This study applies a practical methodology to 16 northwestern Chinese cities to grasp their historical trajectories of CO 2 emissions. Then, structuring CO 2 emissions is explored in terms of industrial structure, energy mix and urban-rural disparities for 8 northwestern Chinese cities. Results show that: (1) for 16 cities (2010-2015), capital and industrial cities generated most emissions. Meanwhile, CO 2 emissions were mostly incompatible with CO 2 intensity, but consistent with CO 2 per capita; (2) for 8 cities (2006~2015), energy producing sectors, heavy manufacturing sectors, and coal remained major drivers of emissions. Then, the interconnection between industrial structure and energy mix exerted temporally varying impacts on emissions from energy producing sectors and heavy manufacturing sectors. Besides, urban gas consumption and rural coal use continued affecting most of household consumption emissions and household consumption emissions per capita. Moreover, the interplay between emissions and population was changed when emissions by energy type were decomposed among urban and rural households; and (3) uncertainty results averagely fall in the range of-39% to 6%. Finally, implications for CO 2 reduction and future work are proposed. Highlights • CO 2 intensity differs from CO 2 emissions and CO 2 per capita across most cities • Structural changes in CO 2 emissions are city-specific in Northwest China (2006~2015) • Energy producing sectors and coal are still main drivers of emissions • Rural coal use remains a vital concern to curb rural household consumption emissions • The interplay between emissions and household population changes with energy types

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Carbon emissions of cities from a consumption-based perspective

Cited by 221 publications

References 78 publications

The Slowdown in China’s Carbon Emissions Growth in the New Phase of Economic Development

The Slowdown in China’s Carbon Emissions Growth in the New Phase of Economic Development

China's provincial energy‐related carbon emissions‐economy nexus: A two‐stage framework based on decoupling analysis and panel vector autoregression

Structural patterns of city-level CO2 emissions in Northwest China

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