scholarly journals Uncovering CO2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis

2019 ◽  
Vol 11 (10) ◽  
pp. 2826 ◽  
Author(s):  
Hualong Yang ◽  
Xuefei Ma
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Mitigation Strategies ◽  
Maritime Transport ◽  
Trade Volume ◽  
Maritime Industry ◽  
Logarithmic Mean ◽  
Factors Affecting ◽  
Decoupling Analysis ◽  
Growing Economy

Given that most commodity transportation depends on the maritime industry, the growing economy and increasing international trade volume are expected to accelerate the development of shipping activities and thus increase associated CO2 emissions. In order to identify the driving factors of CO2 emissions from China’s international shipping and find efficient mitigation strategies, this paper first estimates the CO2 emissions and presents the CO2 emissions features from 2000 to 2017. Second, the Logarithmic Mean Divisia Index (LMDI) method is applied to decompose the changes in CO2 emissions. Finally, the decoupling index is introduced to quantitatively examine the decoupling relationship between economic growth and CO2 emissions. The factors affecting the decoupling relationship are analyzed according to the LMDI results. The results indicate that CO2 emissions in maritime transport activities have experienced rapid growth during the study period. Economic growth appears to be the principal factor driving the CO2 emissions growth, whereas the overall effects of energy intensity and the commodity structure play a significant role in inhibiting CO2 emissions. The decoupling state over the study period has experienced four decoupling stages, with a distinct tendency towards weak decoupling. Economic activity has proven to be the most significant indicator influencing the decoupling relationship during the study period.

scholarly journals Crop Production and Agricultural Carbon Emissions: Relationship Diagnosis and Decomposition Analysis

2021 ◽  
Vol 18 (15) ◽  
pp. 8219
Author(s):  
Jianli Sui ◽  
Wenqiang Lv
Keyword(s):  
Economic Growth ◽  
Agricultural Economic ◽  
Carbon Emissions ◽  
Emission Intensity ◽  
Crop Production ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Lmdi Method ◽  
Carbon Emission Intensity ◽  
Decoupling Analysis

Modern agriculture contributes significantly to greenhouse gas emissions, and agriculture has become the second biggest source of carbon emissions in China. In this context, it is necessary for China to study the nexus of agricultural economic growth and carbon emissions. Taking Jilin province as an example, this paper applied the environmental Kuznets curve (EKC) hypothesis and a decoupling analysis to examine the relationship between crop production and agricultural carbon emissions during 2000–2018, and it further provided a decomposition analysis of the changes in agricultural carbon emissions using the log mean Divisia index (LMDI) method. The results were as follows: (1) Based on the results of CO2 EKC estimation, an N-shaped EKC was found; in particular, the upward trend in agricultural carbon emissions has not changed recently. (2) According to the results of the decoupling analysis, expansive coupling occurred for 9 years, which was followed by weak decoupling for 5 years, and strong decoupling and strong coupling occurred for 2 years each. There was no stable evolutionary path from coupling to decoupling, and this has remained true recently. (3) We used the LMDI method to decompose the driving factors of agricultural carbon emissions into four factors: the agricultural carbon emission intensity effect, structure effect, economic effect, and labor force effect. From a policymaking perspective, we integrated the results of both the EKC and the decoupling analysis and conducted a detailed decomposition analysis, focusing on several key time points. Agricultural economic growth was found to have played a significant role on many occasions in the increase in agricultural carbon emissions, while agricultural carbon emission intensity was important to the decline in agricultural carbon emissions. Specifically, the four factors’ driving direction in the context of agricultural carbon emissions was not stable. We also found that the change in agricultural carbon emissions was affected more by economic policy than by environmental policy. Finally, we put forward policy suggestions for low-carbon agricultural development in Jilin province.

Decoupling Analysis of Economic Growth and Total Primary Energy Supply for the BRICS: 1971-2008

2011 ◽  
Vol 84-85 ◽  
pp. 765-769
Author(s):  
He Ming Wang ◽  
Qiang Yue ◽  
Zhong Wu Lu
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Energy Supply ◽  
Primary Energy ◽  
Resource Consumption ◽  
Gdp Growth ◽  
Decoupling Analysis ◽  
Primary Energy Supply ◽  
Total Resource

The decoupling conditions of GDP and Total Primary Energy Supply (TPES) for the BRICS in the period 1971-2008 were analyzed. It is concluded that in the studied period, the decoupling indicators of China and Russia are relatively higher than that of Brazil, South Africa and India. The BRICS’s decoupling distribution is similar to China, because China accounts for most part of TPES and GDP of the BRICS. To restrain the total resource or energy consumption from increasing too fast, it is suggested to match the indicators of GDP growth and the decreasing rate of resource consumption per unit of GDP appropriately.

scholarly journals Decoupling Analysis of CO2 Emissions in Transportation Sector from Economic Growth during 1995–2015 for Six Cities in Hebei, China

2018 ◽  
Vol 10 (11) ◽  
pp. 4149 ◽  
Author(s):  
Lijun Zhang ◽  
Caiyun Kou ◽  
Ji Zheng ◽  
Yu Li
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Road Traffic ◽  
Hebei Province ◽  
Transport Sector ◽  
Low Carbon ◽  
Greenhouse Gas Inventory ◽  
Transportation Sector ◽  
Decoupling Analysis ◽  
High Level

The transport sector is one of the most important and potential sectors to achieve low-carbon development in China. As economic growth is desirable, but high-level traffic CO2 emissions are not. This paper estimated the on-road traffic CO2 emissions and investigated the decoupling states of traffic CO2 emissions from economic growth for six cities in Hebei province from 1995 to 2015. In 2015, the on-road traffic CO2 emissions were ranked, as follows: Tangshan (4.75 Mt) > Handan (3.38 Mt) > Baoding (1.38 Mt) > Zhangjiakou (1.05 Mt) > Langfang (1.01 Mt) > Chengde (0.46 Mt). Two turning points of traffic CO2 emissions during the study period were found. From 2008 to 2013, the traffic CO2 emissions increased more rapidly than before. After 2013, the traffic CO2 emissions of three cities (Baoding, Handan and Chengde) began to decrease, and the traffic CO2 emissions’ growth rates of the other three cities (Zhangjiakou, Langfang and Tangshan) became lower than before. The decoupling states during 1996–2015 can be divided into four phases: decoupling-coupling concurrence stage (1996–2000), decoupling dominant stage (2001–2008), coupling dominant stage (2009–2013), and improvement stage (2014–2015). Chengde and Baoding were identified due to their good local practice on decoupling CO2 emissions in transport sector from economic growth. These results will enrich the greenhouse gas inventory of China at city level and provide scientific support to achieve the mitigation of CO2 emissions in the transport sector.

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