Inter-provincial sectoral embodied CO2 net-transfer analysis in China based on hypothetical extraction method and complex network analysis

Wang, Yuying; Lei, Yalin; Fan, Fengyan; Li, Li; Liu, Lingna; Wang, Hongtao

doi:10.1016/j.scitotenv.2021.147211

Cited by 32 publications

(15 citation statements)

References 38 publications

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“…On the foundation of HEM, Duarte et al [59] pointed out that modified hypothetical extraction method (MHEM) calculates the vertically integrated consumption and divide linkage effect into four components which aims to analyze the linkage of water use in Spain. In addition to the studies of linkage of water use [60], MEHM is also involved in researches of CO 2 emission [61][62][63][64][65]. Although an increasingly number of scholars have used MHEM, there are few studies that focus on the linkage of energy consumption between a single sector and the rest of the Chinese economic system.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Linkages of the Chinese Construction Sector

Song

2022

Energies

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The purpose of this paper is to explore the relationships between the construction sector and the rest of the Chinese economy in the energy consumption as it is crucial in energy consumption of the whole economy. Therefore, this paper uses the Modified Hypothetical Extraction Method (MHEM) to quantify the linkages of energy consumption in 2002, 2005, 2007, 2010, 2012, 2015, 2017 and 2018, providing a new perspective for energy consumption linkage studies in China. In this paper we discover the volumes and paths of energy consumption net flows from other blocks to the construction sector and identify the key energy suppliers of the construction sector. The empirical findings show that the indirect energy consumption exceeded the direct energy consumption between 2002 and 2018, representing more than 90% of total (direct plus indirect) energy consumption of the construction sector. Between 2002 and 2018, the indirect energy consumption of the construction sector increased from 27,579 to 111,760 × 104 tons of coal equivalent (tce). We further find that the construction sector has the largest inflows of energy consumption to obtain its own demand than other sectors from 2002 to 2018. The average annual energy consumption net flows from other seven sectors to the construction sector were 1477, 687, 47,998, 6067, 1483, 7362 and 1923 × 104 tce in 2002–2018, respectively. Moreover, we find that the Manufacturing sector is the largest energy supplier of the construction sector between 2002 and 2018.

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Section: Introductionmentioning

confidence: 99%

Energy Consumption Linkages of the Chinese Construction Sector

Song

2022

Energies

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“…As an effective analytical tool, complex network theory has been applied to the structural analysis of complex giant systems [21][22][23][24] and has been widely used in many scientific fields, including social networks [25,26], energy networks [27,28], climate networks [29,30] and other aspects [31,32]. Recently, many research scholars have combined the MRIO analysis with a complex network approach to reveal the structural characteristics of embodied water, energy, metals, and other resource flows networks at national, regional, and sectoral levels [33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Natural Gas Scarcity Risk in the Belt and Road Economies Based on Complex Network and Multi-Regional Input-Output Analysis

Nan

et al. 2022

Mathematics

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Natural gas scarcity poses a significant risk to the global economy. The risk of production loss due to natural gas scarcity can be transferred to downstream economies through globalized supply chains. Therefore, it is important to quantify and analyze how natural gas scarcity in some regions affects the Belt and Road (B&R) economies. The embodied natural gas scarcity risks (EGSRs) of B&R economies are assessed and the EGSR transmission network is constructed. The built network shows a small-world nature. This illustrates that any interruption in key countries will quickly spread to neighboring countries, potentially affecting the global economy. The top countries, including Turkey, China, Ukraine, and India are identified in EGSR exports, which also have relatively high values of closeness centrality. The findings illustrate that the shortage of natural gas supply in these countries may have a significant impact on downstream countries or sectors and the resulting economic losses spread rapidly. These countries are critical to the resilience of the B&R economies to natural gas scarcity. The top nations, including Turkmenistan, Macedonia, and Georgia are also identified in EGSR imports, highlighting their vulnerability to natural gas scarcity. Further, the community analysis of the network provides a fresh perspective for formulating fair and reasonable allocation policies of natural gas resources and minimizing the large-scale spread of economic losses caused by natural gas scarcity.

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“…The hypothetical extraction method (HEM) is a useful method to estimate intermediate carbon linkages (Zhou et al, 2016, Wang et al, 2021a. Using the HEM, the carbon linkages can be decomposed into the net forward, net backward, internal and mixed intermediate carbon linkages (Guerra and Sancho, 2010, Sajid et al, 2019a, Sajid et al, 2021a.…”

Section: Introductionmentioning

confidence: 99%

Decomposition and scenario analysis of manufacturing consumption embedded emissions: Insights from the province-level data

Yuan

Liao

2022

Preprint

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In order to support the emissions reduction options in manufacturing industry effectively, it is necessary to quantify the final demand embedded manufacturing consumption (DEMC) emissions which can be estimated by converting intermediate manufacturing consumption into all final demand categories. Here, we quantify the DEMC emissions in China’s 30 provinces during 2007–2017 using a multi-regional input-output (MRIO) model and the modified Hypothetical Extraction Method (HEM). Then, we analyze impacts of four factors (including emissions multipliers, consumption structure, investment efficiency and investment scale) on the DEMC emissions. Finally, considering a large driving effect of investment scale on manufacturing emissions, we conduct four scenarios to quantify the mitigation potential of DEMC emissions during 2020–2035. We find that from 2007 to 2012, the DMEC emissions increased doubled, while during 2012–2017, it decreased from 1217 Mt to 634 Mt. The capital-intensive manufacturing and the labor-intensive manufacturing industries were main sources of intra- and inter-sectoral emissions, respectively. Investment scale was the main driver of the growth in DEMC emissions during 2007–2015, while it led to a reduction of DEMC emissions during 2015–2017. Emission multipliers was the largest inhibiting factor for DEMC emissions during the whole period. Consumption structure had the positive effect on DEMC emissions during 2007–2012, while with the consumption structure shift towards knowledge-intensive manufacturing industry, it induced a reduction of DEMC emissions during 2012–2017. Moreover, implementing an integrated mitigation measures (including reducing emissions multipliers, decreasing investment efficiency, and adjusting consumption structure) could help China to realize the emissions peaking target. However, there are still 8 provinces whose DEMC emissions are unlikely to peak before 2030.

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Inter-provincial sectoral embodied CO2 net-transfer analysis in China based on hypothetical extraction method and complex network analysis

Cited by 32 publications

References 38 publications

Energy Consumption Linkages of the Chinese Construction Sector

Energy Consumption Linkages of the Chinese Construction Sector

Natural Gas Scarcity Risk in the Belt and Road Economies Based on Complex Network and Multi-Regional Input-Output Analysis

Decomposition and scenario analysis of manufacturing consumption embedded emissions: Insights from the province-level data

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