Sensitivity analysis of technology and supply change for CO 2 emission intensity of energy-intensive industries based on input–output model

2016 ◽  
Vol 171 ◽  
pp. 456-467 ◽  
Author(s):  
Junna Yan ◽  
Tao Zhao ◽  
Jidong Kang
2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guoxing Zhang ◽  
Mingxing Liu

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.


2020 ◽  
Vol 12 (5) ◽  
pp. 2148 ◽  
Author(s):  
Jingyao Peng ◽  
Yidi Sun ◽  
Junnian Song ◽  
Wei Yang

It is a very urgent issue to reduce energy-related carbon emissions in China. The three northeastern provinces (Heilongjiang (HLJ), Jilin (JL), and Liaoning (LN)) are typical heavy industrial regions in China, playing an important role in the national carbon emission reduction target. In this study, we analyzed the energy consumption, carbon dioxide (CO2) emissions, and CO2 emission intensity of each sector in the three regions, and we compared them with the national level and those of China’s most developed province Guangdong (GD). Then, based on an input–output (I–O) framework, linkage analysis of production and CO2 emission from sector–system and sector–sector dimensions was conducted. The results showed that the three regions accounted for about 1/10 of China’s energy consumption and 1/6 of China’s CO2 emissions in 2012. In addition, the level of energy structure, CO2 emission intensity, and sectoral structure lagged behind China’s average level, much lower than those for GD. According to the sectoral characteristics of each region and unified backward/forward linkages of production and CO2 emissions, we divided sectoral clusters into those whose development was to be encouraged and those whose development was to be restricted. The results of this paper could provide policy–makers with reference to exploring potential pathways toward energy-related carbon emission reduction in heavy industrial regions.


2002 ◽  
Vol 72 (3-4) ◽  
pp. 689-704 ◽  
Author(s):  
Hiroki Hondo ◽  
Shinsuke Sakai ◽  
Shiro Tanno

2010 ◽  
Vol 121-122 ◽  
pp. 756-759
Author(s):  
Tao Ye

The development of photovoltaic industry can produce great socio-economic implications in terms of induced production and job creation. The world photovoltaic market has been growing and will be strongly influenced by photovoltaic costs and available technologies.. The overall cost to implement a facility for module production having a capacity per year that may be regarded as the minimum profitable size for module production in China is considered. An input–output analysis is used for assessing the relative economic impact on production and employment. A sensitivity analysis shows that the results are reasonably robust.


1988 ◽  
Vol 70 (4) ◽  
pp. 708 ◽  
Author(s):  
Clark W. Bullard ◽  
Anthony V. Sebald

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