Regional embodied carbon emissions and their transfer characteristics in China

Zhou, Dequn; Zhou, Xiaoyong; Xu, Qing; Wu, Fei; Wang, Qunwei; Zha, Donglan

doi:10.1016/j.strueco.2018.05.008

Cited by 95 publications

(52 citation statements)

References 48 publications

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“…Additionally, the provinces with large volumes of per capita embodied carbon footprint are located mainly in northern China. In addition, our results are different from previous studies that adopt a regional classification method (Meng et al, 2013;Su and Ang, 2014;Zhou et al, 2018). The bias in databases can contribute to the diversities in calculation results.…”

Section: The Provincial Per Capita Embodied Carbon Footprintscontrasting

confidence: 99%

“…found that, from 1997-2007, embodied carbon emissions in China tended to flow out of less developed regions with abundant fossil fuels. Zhou et al (2018) found that embodied carbon emissions mainly transfer from less developed regions such as the northwest to developed regions such as the east coast through carbon-intensive manufacturing industries. However, these studies have not reached a unanimous conclusion regarding the direction of regional carbon transfer in China.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, given the network structure of the data and the resulting nonindependence of observations, the permutation and regression process repeats a large number of times; therefore, it can generate a distribution that provides a reference for comparison with 'real' observed values. Furthermore, the MRIO approach can ensure the validity of the embodied carbon calculation by relaxing the technical assumptions inherent in SRIO and BTIO (Su and Ang, 2014;Li et al, 2016;Zhang et al, 2017;Zhou et al, 2018).…”

Section: Qap (Quadratic Assignment Procedure) Analysismentioning

confidence: 99%

“…The bias in databases can contribute to the diversities in calculation results. For example, Zhou et al (2018) find that the embodied carbon emissions in China's…”

Section: The Provincial Per Capita Embodied Carbon Footprintsmentioning

confidence: 99%

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A study on embodied carbon transfer at the provincial level of China from a social network perspective

Kelly

et al. 2019

Journal of Cleaner Production

117

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This paper incorporates the multiregional input-output (MRIO) and social network analysis (SNA) methods to investigate China's embodied carbon transfer across provinces. We estimate the amount of interprovincial embodied carbon transfer from 2002 to 2012, analyse the spatial correlation network structure of carbon transfer and its determinants. Our work can clarify the spatial distribution and different roles of provinces in the carbon transfer network. The empirical results show the spatio-temporal evolution of embodied carbon transfer; in 2002, embodied carbon transfer occurred from the energy-rich northern provinces to the developed eastern and central provinces, but in 2012, it transferred to developing southwestern and southern provinces. Moreover, the northwestern provinces act as "bridges" between the central and eastern provinces; eastern provinces play a "bidirectional spillover" role that transfers

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Section: The Provincial Per Capita Embodied Carbon Footprintscontrasting

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Qap (Quadratic Assignment Procedure) Analysismentioning

confidence: 99%

“…The bias in databases can contribute to the diversities in calculation results. For example, Zhou et al (2018) find that the embodied carbon emissions in China's…”

Section: The Provincial Per Capita Embodied Carbon Footprintsmentioning

confidence: 99%

See 2 more Smart Citations

A study on embodied carbon transfer at the provincial level of China from a social network perspective

Kelly

et al. 2019

Journal of Cleaner Production

117

View full text Add to dashboard Cite

show abstract

“…Also, developing circular economy has been recommended based on the reality of this area (Cheng et al, 2019). But it is also noted that, driven by the growing interregional trade, Northwest China has been the major contributor to embodied CO 2 transfers (Zhou et al, 2018). In this sense, to reduce CO 2 emissions, the final demand perspective (or a consumption-based perspective) will be highlighted when contributions of energy producers and users to emissions are clarified (Zhang et al, 2016).…”

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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China's carbon emissions from the electricity sector: Spatial characteristics and interregional transfer

Fan

Wang

Liu

2021

Integr Envir Assess & Manag

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As a major carbon emitter, the electricity sector is crucial to the realization of China's emission reduction objectives. Existing studies focus mostly on the influencing factors, emission efficiency and low carbon development of carbon emissions in the electricity sector. Missing from the literature is an analysis of spatial characteristics of carbon emissions and the embodied carbon emission transfer caused by the separation of electricity production and consumption, which is the basis for assigning the responsibility for emission reduction. Thirty provinces in China were taken as research objects, and Moran's I index was adopted to analyze the spatial characteristics of the electricity sector's carbon emissions and carbon emission intensity. Based on multiregional input-output tables, we compared the transfer situation of China's provincial electricity carbon emissions in 2010 and 2015. The results demonstrate that, from 2010 to 2015, the electricity carbon emissions in 20 provinces increased, whereas the carbon emission intensity in 21 provinces decreased. Carbon emissions and carbon emission intensity of electricity in most provinces demonstrate positive spatial clustering characteristics. The total amount of carbon emission transfer in the electricity sector increased from 421.22 million tons in 2010 to 581.369 million tons in 2015, the number of net transfers out of areas increased from 13 to 15, and the number of net transfers into areas decreased from 16 to 15. The active degree of carbon emission transfer reveals the eastern region > the central region > the western region. Different emission reduction policies should be formulated based on the difference in resource endowment between the north and south. Provinces that transferred out large amounts of electricity carbon emissions should take greater responsibility for emission reduction.

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Regional embodied carbon emissions and their transfer characteristics in China

Cited by 95 publications

References 48 publications

A study on embodied carbon transfer at the provincial level of China from a social network perspective

A study on embodied carbon transfer at the provincial level of China from a social network perspective

Structural patterns of city-level CO2 emissions in Northwest China

China's carbon emissions from the electricity sector: Spatial characteristics and interregional transfer

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