Decomposition analysis of CO2 emission intensity between oil-producing and non-oil-producing sub-Saharan African countries

A coupled structural decomposition analysis (SDA) and sensitivity analysis approach is developed to explore the drivers of China’s CO2 emission intensity at both general and sectoral levels and from both ex-post and ex-ante perspectives. Two steps are involved—structural decomposition and sensitivity analysis. First, the popular factor decomposition method, SDA, is implemented to identify which drivers “have” made the largest contribution to emission intensity changes. Second, an emerging ex-ante approach, sensitivity analysis, is introduced to answer how and to what extent such drivers “will” influence future emission intensity at a sectoral level. Based on China’s input-output tables for 1997–2012, the empirical study provides a hotspot map of China’s energy system. (1) Direct-emission coefficient and technology coefficient are observed as the top two overall drivers. (2) For the former, reducing direct-emission coefficient in an emission-intensity sector (e.g., electricity and heat sectors) by 1% will mitigate China’s total emission intensity by at least 0.05%. (3) For the latter, future emission intensity is super-sensitive to direct transactions in emission-intensity sectors (particularly the chemical industry with elasticities up to 0.82%).

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Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis

Environmental and Resource Economics ◽

10.1007/s10640-019-00351-w ◽

2019 ◽

Vol 74 (2) ◽

pp. 865-890 ◽

Cited By ~ 4

Author(s):

H. Wang ◽

Chen Pan ◽

P. Zhou

Keyword(s):

Emission Intensity ◽

Co2 Emission ◽

Decomposition Analysis ◽

Value Chains ◽

Structural Decomposition Analysis ◽

Structural Decomposition ◽

Co2 Emission Intensity

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Decomposition Analysis of the Carbon Emissions of the Manufacturing and Industrial Sector in Thailand

Energies ◽

10.3390/en13040798 ◽

2020 ◽

Vol 13 (4) ◽

pp. 798

Author(s):

Jaruwan Chontanawat ◽

Paitoon Wiboonchutikula ◽

Atinat Buddhivanich

Keyword(s):

Co2 Emissions ◽

Emission Intensity ◽

Co2 Emission ◽

Energy Intensity ◽

Manufacturing Sector ◽

Decomposition Analysis ◽

Intensity Change ◽

Positive Contribution ◽

Intensity Effect ◽

Co2 Emission Intensity

Since the 1990s, CO2 emissions have increased steadily in line with the growth of production and the use of energy in the manufacturing sector in Thailand. The Logarithmic Mean Divisia Index Method is used for analysing the sources of changes in CO2 emissions as well as the CO2 emission intensity of the sector in 2000–2018. On average throughout the period, both the amount of CO2 emissions and the CO2 emission intensity increased each year relative to the baseline. The structural change effect (effect of changes of manufacturing production composition) reduced, but the intensity effect (effect of changes of CO2 emissions of individual industries) increased the amount of CO2 emissions and the CO2 emission intensity. The unfavourable CO2 emission intensity change came from the increased energy intensity of individual industries. The increased use of coal and electricity raised the CO2 emissions, whereas the insignificant change in emission factors showed little impact. Therefore, the study calls for policies that decrease the energy intensity of each industry by limiting the use of coal and reducing the electricity used by the manufacturing sector so that Thailand can make a positive contribution to the international community’s effort to achieve the goal of CO2 emissions reduction.

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