Carbon emissions embodied in demand–supply chains in China

Liu, Hongguang; Liu, Weidong; Fan, Xiaomei; Zou, Wei

doi:10.1016/j.eneco.2015.06.006

Cited by 86 publications

(26 citation statements)

References 50 publications

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“…Research on carbon emissions has focused on carbon flows among regions (Liu et al. , ; Zhang et al. ; Zhong et al.…”

Section: Introductionmentioning

confidence: 99%

“…, ), carbon emissions embodied in commodities used for domestic final consumption (Liu et al. ; Meng et al. ), and driving forces analysis (Feng et al.…”

Section: Introductionmentioning

confidence: 99%

“…Research on carbon emissions has focused on carbon flows among regions (Liu et al , 2015Zhang et al 2014a;Zhong et al 2015), carbon footprint (CF) analysis (Tian et al 2014a(Tian et al , 2014b, carbon emissions embodied in commodities used for domestic final consumption (Liu et al 2015;Meng et al 2013), and driving forces analysis (Feng et al 2012). To combine the energy and carbon perspectives, Liang and colleagues (2007) used 1997 data for eight Chinese regions to predict energy consumption and carbon emission in 2010 and 2020 and analyzed the interactions among four sectors.…”

Section: Introductionmentioning

confidence: 99%

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An Urban Metabolism and Carbon Footprint Analysis of the Jing–Jin–Ji Regional Agglomeration

Zheng¹,

Fath²,

Zhang³

2016

J of Industrial Ecology

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Summary Urban energy metabolism includes processes for exploiting, transforming, and consuming energy, as well as processes for recycling by‐products and wastes. Embodied energy is the energy consumed during all of these activities, both directly and indirectly. Multiregional input‐output (MRIO) analysis can calculate the energy consumption embodied in flows among sectors for multiple cities or regions. Our goal was to address a problem apparent in previous research, which was insufficient attention to indirect energy flows. We combined MRIO analysis with ecological network analysis to calculate the embodied energy consumption and the energy‐related carbon footprints of five sectors in three regions that comprise the Jing‐Jin‐Ji agglomeration, using data from 2002 and 2007. Our analysis traced metabolic processes of sectors from the perspective of final consumption. Based on the embodied energy analysis, we quantified the indirect energy consumption implied in exchanges of sectors and its distribution and identified the relationships formed through the indirect consumption to analyze the roles of providers and receivers in the system. Results showed that the embodied energy consumption for the Jing‐Jin‐Ji region increased from 2002 to 2007 as a result of increased energy consumption in Tianjin and Hebei. Overall, consumption of Beijing decreased likely attributable to the fact that government policies relocated industries during this time in anticipation of the Olympic Games. The relationships among sectors changed: Beijing changed from a net exporter to an importer, whereas Hebei changed from a net importer of energy from Beijing to an exporter to Beijing, and Tianjin served as an importer in both years.

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“…Research on carbon emissions has focused on carbon flows among regions (Liu et al. , ; Zhang et al. ; Zhong et al.…”

Section: Introductionmentioning

confidence: 99%

“…, ), carbon emissions embodied in commodities used for domestic final consumption (Liu et al. ; Meng et al. ), and driving forces analysis (Feng et al.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Urban Metabolism and Carbon Footprint Analysis of the Jing–Jin–Ji Regional Agglomeration

Zheng¹,

Fath²,

Zhang³

2016

J of Industrial Ecology

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“…Therefore, the provincial IO model considering interprovincial trade is more suitable for EET studies in China [17, 18]. Actually, provincial emissions are significantly different in China[19], and production has been transferred from less developed regions to developed regions, leading emissions transitions from the base of the energy and heavy chemical industries to developing regions and undeveloped regions with incomplete industrial infrastructures[20–22], and as a result, the emissions embodied in consumption increased from 1997 to 2007[23]. Taking four municipalities as examples, almost 50% of the emissions in Chongqing were imported from other provinces in 2007, and the proportions were much higher (almost 70%) for Beijing and Shanghai .…”

Section: Introductionmentioning

confidence: 99%

Examining drivers of the emissions embodied in trade

Wang

2017

PLoS ONE

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Emissions embodied in provincial trade (EEPT) have important effects on provinces’ responsibilities for carbon emission reductions. Based on a multi-regional input-output model, we calculated EEPT for China’s 30 provinces in 2002, 2007 and 2010, and we attempted to determine the drivers of EEPT. The results showed that, during this period, the ratio of EEPT to production-based emissions increased over time, reaching 40.24% in 2010. In consideration of its important role in carbon emissions, we analyzed the factors attributable to EEPT through structure decomposition analysis. The decomposition results showed that final demand and carbon emission intensity were two major factors in EEPT, while the final demand in other provinces and the carbon emission intensity in the local province were major factors for Emissions embodied in provincial exports and the final demand in the local province and the carbon emission intensity in other provinces were major factors for Emissions embodied in provincial imports. Regarding the differences among the EEPT of different provinces, changes in the structure of trade were the primary reason.

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“…MRIO can track the impacts of international/interregional production and supply chains, spanning multiple sectors in multiple countries/regions, and covers all indirect impacts along the upstream supply chains [21,22]. Thus, MRIO is widely used to examine embodied emissions and materials in international/interregional trade, such as carbon/CO 2 emissions [23][24][25][26][27][28][29][30][31], energy flows [32][33][34], water consumption [35,36], PM 2.5 [37], SO 2 emissions [37][38][39], NO X emissions [37,38], CH 4 emissions [40], non-methane volatile organic compounds (NMVOC) [37].…”

Section: Introductionmentioning

confidence: 99%

Re-Examining Embodied SO2 and CO2 Emissions in China

et al. 2018

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CO 2 and SO 2, while having different environmental impacts, are both linked to the burning of fossil fuels. Research on joint patterns of CO 2 emissions and SO 2 emissions may provide useful information for decision-makers to reduce these emissions effectively. This study analyzes both CO 2 emissions and SO 2 emissions embodied in interprovincial trade in 2007 and 2010 using multi-regional input-output analysis. Backward and forward linkage analysis shows that Production and Supply of Electric Power and Steam, Non-metal Mineral Products, and Metal Smelting and Pressing are key sectors for mitigating SO 2 and CO 2 emissions along the national supply chain. The total SO 2 emissions and CO 2 emissions of these sectors accounted for 81% and 76% of the total national SO 2 emissions and CO 2 emissions, respectively.

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Carbon emissions embodied in demand–supply chains in China

Cited by 86 publications

References 50 publications

An Urban Metabolism and Carbon Footprint Analysis of the Jing–Jin–Ji Regional Agglomeration

An Urban Metabolism and Carbon Footprint Analysis of the Jing–Jin–Ji Regional Agglomeration

Examining drivers of the emissions embodied in trade

Re-Examining Embodied SO2 and CO2 Emissions in China

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