Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach

Wang, Zhen; Wei, Liyuan; Niu, Beibei; Liu, Yong; Bin, Guoshu

doi:10.1016/j.apenergy.2017.09.108

Cited by 49 publications

(7 citation statements)

References 42 publications

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“…Generally, backward linkages are the case wherein a sector's final demand can pull other sectors' output (Zhao et al 2015). According to the classical input-output theory, the final demand is the driving force of economic growth, and backward linkage is important when determining CO 2 emissions driven by the final demand for goods and services (e.g., household consumption, government consumption, and capital accumulation) in the supply chain (Peters 2008;Wang et al 2017;Ma et al 2019). Meanwhile, forward linkages are the case wherein additional supply from a sector will push other sectors to use the additional output and produce more products.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of carbon emissions, economic growth, and employment from the perspective of industrial restructuring: a case study of China

Bai

Zhang

Ning

et al. 2021

Environ Sci Pollut Res

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Industrial restructuring is a significant measure for low-carbon transition. In principle, carbon emissions can be effectively reduced by limiting the output of high-emission sectors; however, the socio-economic effects of the sectors should also be considered. Moreover, owing to the limitations of the method or data, the interactions between households and production sectors have been neglected in the study of industrial restructuring, resulting in an incomplete and potentially biased understanding of the role of households. To fill this gap, we applied a semi-closed input–output model to identify key sectors by economic and emission linkages and measure the employment impacts (direct, indirect, and induced) of reduced carbon emissions. The empirical results for China in 2010–2018 showed that relatively small changes in key emission sectors would significantly affect the economic growth, and reduced carbon emissions reduction would generally lead to high job losses. Promoting labor-intensive sectors, particularly the service sector, is conducive to achieving a “multi-win” situation for economic development, carbon emission reductions, and stable employment. Furthermore, our results highlight the significance of households: expanding consumption and increasing household income can bring multiple benefits, such as economic growth, job creation, and low carbon emissions. These findings can provide useful information for identifying the optimized path of restructuring and helping achieve the sustainable development of the environment, economy, and society.

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Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of carbon emissions, economic growth, and employment from the perspective of industrial restructuring: a case study of China

Bai

Zhang

Ning

et al. 2021

Environ Sci Pollut Res

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show abstract

“…In this context, it is particularly important to study the change of China's carbon emissions. The carbon emissions from industry production activities are essential for carbon reduction targets, which account for more than 90% of total carbon emissions (Wang et al, 2017c). In addition to direct energy consumption, which generates direct carbon emissions, the input-output process of products among different sectors also emits huge amounts of carbon.…”

Section: Introductionmentioning

confidence: 99%

Critical Transmission Paths of Aggregate Embodied Carbon Emission Influencing Factors in China

Liu

et al. 2022

Front. Energy Res.

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Carbon emissions, being embedded in sectorial production chains, need to be reduced through targeted carbon emission reduction strategies. For such a reason, it is urgent to assess the contributions of different influencing factors among different sectors for different supply chains. Focused on China, being the world’s largest carbon emitter, this paper uses the latest 2018 China’s input-output table to assess different factors, at sectoral scale, related to embodied carbon emissions. The analysis proved that the total final use factor prompted the largest emission growth, while the input-output structure factor inhibited the emission increase significantly. The gross fixed capital formation category was the largest contributor to aggregate embodied carbon emission growth, followed by urban consumption and export categories. The construction was identified as a key sector for its embodied carbon emission, the most relevant intermediate inputs to construction sector are the manufacture of non-metallic mineral products, the smelting and rolling of metals, and the production and supply of electric power and heat power sectors. Results indicate that, in the case of China, low-carbon building materials should be favored in the future. Meanwhile, energy-saving should be promoted among urban residents to increase the effectiveness of carbon emissions reduction strategies.

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“…Among them, CEs from construction industry (CI) contribute significantly, for it can also drive considerable amount of CEs from associated industries. It is reported that more than 90% of the CEs from CI are generated indirectly, mainly from upstream industry in the production stage of building materials (Huang et al, 2018;Wang et al, 2017). Statistically, the CI consumes approximately 30% of global raw material usage, 25% of solid waste, and 25% of water resource , and it also consumes a lot of sand, wood, gravel (Kokoni and Skea, 2014).…”

Section: Introductionmentioning

confidence: 99%

Tracking the spatio-temporal distribution and regional differences of carbon footprint in grid scale of China's construction industry

Guo

Chuai

2022

Preprint

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China is undergoing rapidly urbanization process, enlarging the continuous optimization of infrastructure and increasing relevant construction activities sharply, releasing abundant carbon emissions (CEs) subsequently. Understanding the spatial-temporal patterns and changing characteristics is thus a fundamental prerequisite to assess and sustain energy saving and CEs reduction of construction industry (CI) level. Previous studies on carbon emission (CE) of CI however, are often limited to the quantitative level, provincial or local administrative unit scales, lacking relevant studies at the spatial raster resolution scale, due to data gaps. Here, using the energy consumption, social economic data and a series of remote sensing data from EU EDGAR, this study explored the spatial-temporal distribution and changing characteristics of CEs from CI in typical years of 2007, 2010, and 2012. This study found, from 2007 to 2010, then 2012, in addition to subtle differences, the direct, indirect, and total CEs of CI all showed an increasing trend overall. All provincial units except Tianjin and Guangdong, indirect CEs took up more than 50% of the total CEs, which can clearly indicate the “dominant low carbon, recessive high carbon” characteristics of CI. The direct, indirect, and total CEs of the CI in 2007, 2010, and 2012, all showed a positive spatial clustering. Specifically, hot spots were mainly distributed in Beijing-Tianjin-Hebei, Yangtze River Delta, and cold spots were mainly focused in the west and northeast of China, presenting a similar distribution pattern with population-economy characteristics.

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Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach

Cited by 49 publications

References 42 publications

Comprehensive analysis of carbon emissions, economic growth, and employment from the perspective of industrial restructuring: a case study of China

Comprehensive analysis of carbon emissions, economic growth, and employment from the perspective of industrial restructuring: a case study of China

Critical Transmission Paths of Aggregate Embodied Carbon Emission Influencing Factors in China

Tracking the spatio-temporal distribution and regional differences of carbon footprint in grid scale of China's construction industry

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