scholarly journals Examining embodied carbon emission flow relationships among different industrial sectors in China

2022 ◽  
Vol 29 ◽  
pp. 100-114
Author(s):  
Qing Xia ◽  
Guiliang Tian ◽  
Zheng Wu
Keyword(s):  
Carbon Emission ◽  
Industrial Sectors ◽  
Embodied Carbon

scholarly journals Assessing Embodied Carbon Emission and Its Intensities in the ICT Industry: The Global Case

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiucheng Dong ◽  
Qingzhe Jiang ◽  
Jianda Wang
Keyword(s):  
Information And Communication Technologies ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Developed Countries ◽  
Industrial Sectors ◽  
Embodied Carbon ◽  
Significant Downward Trend ◽  
Embodied Carbon Emissions ◽  
Emission Reduction Strategies ◽  
Ict Industry

With the intensification of globalization, the information and communication technologies (ICT) sector, as one of the emerging industrial sectors, has played an important role in reducing carbon emissions in regional trade and improving the energy efficiency of traded products. This article uses a multi-regional input-output (MRIO) model to explore the flow of embodied carbon emissions and embodied carbon emission intensities in the ICT sector triggered by trade in 15 major economies around the world from 2000 to 2014. The article further discusses the emission-reduction strategies of each ICT sector. The results show that: (1) The overall embodied carbon emissions of ICT have demonstrated a significant downward trend, but the proportion of embodied carbon emissions caused by trade is increasing; (2) The embodied carbon emissions in the ICT sector of most developed countries in 2014 are significantly lower than in 2000, but in developing countries such as China and India they show an upward trend during this period; (3) The ICT sector’s export embodied carbon emission intensity in Indonesia is much higher than that of other countries, and the embodied carbon emissions of ICT exported by Mexico have increased significantly; (4) The manufacture of computer, electronic and optical products (S1) is the main contributor to the ICT sector’s embodied carbon emissions, while import embodied carbon emission intensities among publishing activities (S2) are increasing significantly in most countries. The conclusion of this paper has important implications for how to reduce ICT’s embodied carbon emissions of major countries.

Interactions between households and industrial sectors in embodied carbon emission networks

2020 ◽  
Vol 275 ◽  
pp. 123809
Author(s):  
Zhen Wang ◽  
Xiao Wang ◽  
Sha Peng ◽  
Lei Ming ◽  
Can Cui ◽  
...  
Keyword(s):  
Carbon Emission ◽  
Industrial Sectors ◽  
Embodied Carbon

scholarly journals The Changes of Carbon Emission in China’s Industrial Sectors from 2002 to 2010: A Structural Decomposition Analysis and Input-Output Subsystem

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guoxing Zhang ◽  
Mingxing Liu
Keyword(s):  
Carbon Emissions ◽  
Emission Intensity ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Good Effect ◽  
Input Output ◽  
Carbon Emission Intensity ◽  
Industrial Sectors ◽  
Three Components

Based on 2002–2010 comparable price input-output tables, this paper first calculates the carbon emissions of China’s industrial sectors with three components by input-output subsystems; next, we decompose the three components into effect of carbon emission intensity, effect of social technology, and effect of final demand separately by structure decomposition analysis; at last, we analyze the contribution of every effect to the total emissions by sectors, thus finding the key sectors and key factors which induce the changes of carbon emissions in China’s industrial sectors. Our results show that in the latest 8 years five departments have gotten the greatest increase in the changes of carbon emissions compare with other departments and the effect of final demand is the key factor leading to the increase of industrial total carbon emissions. The decomposed effects show a decrease in carbon emission due to the changes of carbon emission intensity between 2002 and 2010 compensated by an increase in carbon emissions caused by the rise in final demand of industrial sectors. And social technological changes on the reduction of carbon emissions did not play a very good effect and need further improvement.

scholarly journals Analysis of Energy-Related Carbon Emissions in Inner Mongolia, China

2019 ◽  
Vol 11 (24) ◽  
pp. 7008
Author(s):  
Sheng-Wen Tseng
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Co2 Emissions ◽  
Emission Intensity ◽  
Inner Mongolia ◽  
Carbon Emission ◽  
Economic Structure ◽  
Renewable Energy Policy ◽  
Intensity Factors ◽  
Industrial Sectors

Inner Mongolia has shown both rapid economic growth and a large renewable energy base, this has come about by the introduction of the “Western Development” strategy and renewable energy policy of the Chinese Government. However, this has led to a contradictory situation where both high carbon emission and reduction exist together. The average economic growth of Inner Mongolia reached 15.76% between 2006 and 2016, which caused huge CO2 emissions. However, promotion of the renewable energy policy (since 2005) resulted in an energy self-sufficiency rate that reached 270.80% by 2016. In this study of the Inner Mongolia carbon emission situation, the logarithmic mean divisia index (LMDI) model was used to analyze the factors affecting carbon emission fluctuations from 2005 to 2016. The decoupling elasticity index was then used to measure the decoupling effect of the economic growth and carbon emissions. The results of this research show that: firstly, CO2 emissions increased rapidly from 651.03 million tons in 2006 to 1723.24 million tons in 2013. Despite a slight decline in CO2 emissions, a level above 1600 million tons was maintained between 2014 and 2016. Secondly, the industry sector was the main source of CO2 emissions in Inner Mongolia, and coal-based fuel played a determining role. Thirdly, in this study, two important contributions were made, including the discovery of two new drivers: labor and emission intensity factors. Further, findings about the effect of the six industrial sectors, economic structure, energy density, and emission intensity factors were also decomposed. It was found that during research period, the population factor, labor factor, and labor productivity factor all had a positive influence on CO2 emissions, whereas the economic structure factor and emission intensity factor had different impacts on the CO2 emissions depending on the particular industrial sector. Furthermore, the energy intensity of six industrial sectors contributed to the decrease in aggregate CO2 emissions. Finally, in this study, it was also found that economic growth and CO2 growth in Inner Mongolia presented a weak decoupling state. Policy recommendations based on these results have been presented.

scholarly journals How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?

2019 ◽  
Vol 11 (3) ◽  
pp. 914 ◽  
Author(s):  
Jianguo Zhou ◽  
Yushuo Li ◽  
Xuejing Huo ◽  
Xiaolei Xu
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Abatement Cost ◽  
Carbon Intensity ◽  
Carbon Trading ◽  
Emission Permits ◽  
Carbon Abatement ◽  
Industrial Sectors ◽  
Ferrous Metals

With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon emissions permits. Since the industry emits the largest amount of carbon dioxide in China, a study on the allocation of carbon emission permits among China’s industrial sectors is necessary to promote industry carbon abatement efficiency. In this study, industrial carbon emissions permits are allocated to 37 sub-sectors of China to reach the emission reduction target of 2030 considering the carbon marginal abatement cost, carbon abatement responsibility, carbon abatement potential, and carbon abatement capacity. A hybrid approach that integrates data envelop analysis (DEA), the analytic hierarchy process (AHP), and principal component analysis (PCA) is proposed to allocate carbon emission permits. The results of this study are as follows: First, under the constraint of carbon intensity, the carbon emission permits of the total industry in 2030 will be 8792 Mt with an average growth rate of 3.27%, which is 1.57 times higher than that in 2016. Second, the results of the carbon marginal abatement costs show that light industrial sectors and high-tech industrial sectors have a higher abatement cost, while energy-intensive heavy chemical industries have a lower abatement cost. Third, based on the allocation results, there are six industrial sub-sectors that have obtained major carbon emission permits, including the smelting and pressing of ferrous metals (S24), manufacturing of raw chemical materials and chemical products (S18), manufacturing of non-metallic mineral products (S23), smelting and pressing of non-ferrous metals (S25), production and supply of electric power and heat power (S35), and the processing of petroleum, coking, and processing of nuclear fuel (S19), accounting for 69.23% of the total carbon emissions permits. Furthermore, the study also classifies 37 industrial sectors to explore the emission reduction paths, and proposes corresponding policy recommendations for different categories.

Statistical analysis of embodied carbon emission for building construction

2015 ◽  
Vol 105 ◽  
pp. 326-333 ◽  
Author(s):  
Goune Kang ◽  
Taehoon Kim ◽  
Yong-Woo Kim ◽  
Hunhee Cho ◽  
Kyung-In Kang
Keyword(s):  
Statistical Analysis ◽  
Carbon Emission ◽  
Building Construction ◽  
Embodied Carbon

Decomposition analysis of the decoupling process between economic growth and carbon emission in Beijing city, China: A sectoral perspective

2019 ◽  
Vol 31 (6) ◽  
pp. 961-982 ◽  
Author(s):  
Min Su ◽  
Shasha Wang ◽  
Rongrong Li ◽  
Ningning Guo
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Level ◽  
Decomposition Analysis ◽  
Transport Sector ◽  
Beijing City ◽  
Emission Mitigation ◽  
Economic Output ◽  
Industrial Sectors

Cities play a major role in decoupling economic growth from carbon emission for their significant role in climate change mitigation from national level. This paper selects Beijing (economic center and leader of emission reduction in China) as a case to examine the decoupling process during the period 2000–2015 through a sectoral decomposition analysis. This paper proposes the decoupling of carbon emission from economic growth or sectoral output by defining the Tapio decoupling elasticity, and combined the decoupling elasticity with decomposition technique such as Logarithmic Mean Divisia Index approach. The results indicate that agriculture and industrial sectors presented strong decoupling state, and weak decoupling is detected in construction and other industrial sectors. Meanwhile, transport sector is in expansive negative decoupling while trade industry shows expansive coupling during the study period. Per-capita gross domestic product, industrial structure, and energy intensity are the most significant effects influencing the decoupling process. Agriculture and industry are conducive to decoupling of carbon emissions from economic output, while transport and trade are detrimental to the realization of strong decoupling target between 2000 and 2015. However, construction and other industrial sectors exerted relatively little minor impact on the whole decoupling process. Improving and promoting energy-saving technologies in transport sector and trade sector should be the key strategy adjustments for Beijing to reduce carbon emissions in the future. The study aims to provide effective policy adjustments for policy makers to accelerate the decoupling process in Beijing, which, furthermore, can lay a theoretical foundation for other cities to develop carbon emission mitigation polices more efficiently.

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