Using LMDI method to analyze transport sector CO2 emissions in China

Energy ◽  
2011 ◽  
Vol 36 (10) ◽  
pp. 5909-5915 ◽  
Author(s):  
W.W. Wang ◽  
M. Zhang ◽  
M. Zhou
2021 ◽  
Vol 13 (4) ◽  
pp. 2225
Author(s):  
Ralf Peters ◽  
Janos Lucian Breuer ◽  
Maximilian Decker ◽  
Thomas Grube ◽  
Martin Robinius ◽  
...  

Achieving the CO2 reduction targets for 2050 requires extensive measures being undertaken in all sectors. In contrast to energy generation, the transport sector has not yet been able to achieve a substantive reduction in CO2 emissions. Measures for the ever more pressing reduction in CO2 emissions from transportation include the increased use of electric vehicles powered by batteries or fuel cells. The use of fuel cells requires the production of hydrogen and the establishment of a corresponding hydrogen production system and associated infrastructure. Synthetic fuels made using carbon dioxide and sustainably-produced hydrogen can be used in the existing infrastructure and will reach the extant vehicle fleet in the medium term. All three options require a major expansion of the generation capacities for renewable electricity. Moreover, various options for road freight transport with light duty vehicles (LDVs) and heavy duty vehicles (HDVs) are analyzed and compared. In addition to efficiency throughout the entire value chain, well-to-wheel efficiency and also other aspects play an important role in this comparison. These include: (a) the possibility of large-scale energy storage in the sense of so-called ‘sector coupling’, which is offered only by hydrogen and synthetic energy sources; (b) the use of the existing fueling station infrastructure and the applicability of the new technology on the existing fleet; (c) fulfilling the power and range requirements of the long-distance road transport.


2021 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Souhir Abbes

In this paper, we use the Logarithmic Mean Divisia Index (LMDI) to apply decomposition analysis on Carbon Dioxide (CO2) emissions from transport systems in seven Eastern European countries over the period between 2005 and 2015. The results show that “economic activity” is the main factor responsible for CO2 emissions in all the countries in our sample. The second factor causing increase in CO2 emissions is the “fuel mix” by type and mode of transport. Modal share and energy intensity affect the growth of CO2 emissions but in a less significant way. Finally, only the “population” and “emission coefficient” variables slowed the growth of these emissions in all the countries, except for Slovenia, where the population variable was found to be responsible for the increase in CO2 emissions. These results not only contribute to advancing the existing literature but also provide important policy recommendations.


2019 ◽  
pp. 63-82
Author(s):  
Rafael Morales-Lage ◽  
Aurelia Bengochea-Morancho ◽  
Immaculada Martínez-Zarzoso

This paper focuses on the process of convergence in per capita CO2 emissions that would occur if the measures taken by the European Union to meet the Kyoto Protocol commitments had been effective. We apply a time series and cross-sectional analysis to test for the existence of convergence among countries and for different economic sectors. The sample covers data for the 28 member countries from 1960 to 2012. The results show weak absolute convergence across countries but clear evidence of conditional convergence, with GDP, the weight of industrial sector and the use of renewable energies being the main drivers of divergence. Concerning sectors, there is an increase of emissions in the agricultural sector, but a reduction in the industrial and energy sectors. Different patterns arise in the energy subsectors where manufacturing and electricity notably reduced their emissions while the transport sector increased them in all countries.


2015 ◽  
Vol 157 ◽  
pp. 905-917 ◽  
Author(s):  
Ajay Gambhir ◽  
Lawrence K.C. Tse ◽  
Danlu Tong ◽  
Ricardo Martinez-Botas

2019 ◽  
Vol 1167 ◽  
pp. 012008
Author(s):  
Indra Chandra Setiawan ◽  
Indarto ◽  
Deendarlianto

2018 ◽  
Vol 7 (4.35) ◽  
pp. 823 ◽  
Author(s):  
Mustapa S.I ◽  
Bekhet H.A

The rapid urbanisation and economic growth has led to unprecedented increase in CO2 emissions, which led to a vital global issue due partly to the rise in demand from the transport sector. In the years ahead, the transport services demand is likely to increase further, which lead to intensification in CO2 emissions as well. The transportation sector in Malaysia contributes for about 28% of total CO2 emissions, of which 85% of it goes to road transportation mode. This has led to a great interest in how the CO2 emissions in this sector can effectively be reduced. Using a multiple regression model and datasets from 1990 to 2015, this study aimed to examine factors that influence the CO2 emissions in Malaysia. Key factors of CO2 emissions, i.e., fuel consumption (FC), distance travel (DT), fuel efficiency (FE), and fuel price (FP) were investigated for the road transport sector. The findings demonstrated that the impact of factors on CO2 emissions were varies in each technology vehicles. These findings not only contributes to enhancing the current literature, but also provide insights for policy maker in Malaysia to design policy instruments for road transport sector.


2014 ◽  
Vol 29 ◽  
pp. 25-32 ◽  
Author(s):  
M. Teresa Sanz ◽  
José M. Cansino ◽  
José M. González-Limón ◽  
Marta Santamaría ◽  
Rocío Yñiguez

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 525 ◽  
Author(s):  
Edwin R. Grijalva ◽  
José María López Martínez

The emissions of CO2 gas caused by transport in urban areas are increasingly serious, and the public transport sector plays a vital role in society, especially when considering the increased demands for mobility. New energy technologies in urban mobility are being introduced, as evidenced by the electric vehicle. We evaluated the positive environmental effects in terms of CO2 emissions that would be produced by the replacement of conventional urban transport bus fleets by electric buses. The simulation of an electric urban bus conceptual model is presented as a case study. The model is validated using the speed and height profiles of the most representative route within the city of Madrid—the C1 line. We assumed that the vehicle fleet is charged using the electric grid at night, when energy demand is low, the cost of energy is low, and energy is produced with a large provision of renewable energy, principally wind power. For the results, we considered the percentage of fleet replacement and the Spanish electricity mix. The analysis shows that by gradually replacing the current fleet of buses by electric buses over 10 years (2020 to 2030), CO2 emissions would be reduced by up to 92.6% compared to 2018 levels.


Author(s):  
Abdulkadir BEKTAŞ

In this study, CO2 emissions of the Turkish economy are decomposed for the 1998–2017 period for four sectors; agriculture, forestry and fishery, manufacturing industries and construction, public electricity and heat production, transport, and residential. The analyses are conducted for five fuel types; liquid, solid, gaseous fuels, biomass, and other fuels. In decomposition analysis, Log Mean Divisia Index (LMDI) method is used. The analysis results point out that energy intensity is one of the determining factors behind the change in CO2 emissions, aside from economic activity. The fuel mix component, especially for the manufacturing industries and construction sector, lowers CO2 emissions during the crisis periods when the economic activity declines. Mainly, it is found that changes in total industrial activity and energy intensity are the primary factors determining the changes in CO2 emissions during the study period. Among GDP sectors, manufacturing industries and construction and public electricity and heat production are the two sectors that dominate the change in CO2 emissions. Additionally, the residential and transport sectors’ contributions have gained importance during recent years. Among the manufacturing industries and construction, the non-metallic minerals sector contributes to CO2 emissions, followed by the chemicals sector.


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