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DIVISIA INDEX (2) answer(s).
 
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ID:   116922


Changes in CO2 emission intensities in the Mexican industry / Gonzalez, Domingo; Martinez, Manuel   Journal Article
Gonzalez, Domingo Journal Article
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Publication 2012.
Summary/Abstract A CO2 emission intensity analysis in the Mexican industry from 1965 to 2010 is carried out by taking into consideration four stages: 1965-1982, 1982-1994, 1994-2003, and 2004-2010. Based on the LMDI decomposition methodology, three influencing factors are analyzed: energy intensity, CO2 coefficient, and structure in terms of their contributions of each individual attributes to the overall percent change of them as it was proposed in Choi and Ang (2011). The energy intensity effect was the driving factor behind the main decreases of CO2 intensity, the CO2 coefficient effect contributed to less extent to mitigate it, and the structure effect tended to increased it. It is observed that CO2 intensity declined by 26.2% from 1965 to 2003, but it increased by 10.1% from 2004 to 2010. In addition, the move of Mexico from an economic model based on import-substitution to an export-oriented economy brought more importance to the Mexican industry intended to export, thus maintaining high levels of activity of industries such as cement, iron and steel, chemical, and petrochemical, while industries such as automotive, and 'other' industries grown significantly not only as far their energy consumptions and related CO2 emissions but they also increased their contributions to the national economy.
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2
ID:   121345


Trends in road freight transportation carbon dioxide emissions / Hongqi Li; Yue Lu; Zhang, Jun; Wang, Tianyi   Journal Article
Zhang, Jun Journal Article
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Publication 2013.
Summary/Abstract We adopted the simple average Divisia index approach to explore the impacts of factors on the carbon dioxide (CO2) emissions from road freight transportation in China from 1985 to 2007. CO2 emissions were investigated using the following as influencing factors: the emission coefficient, vehicle fuel intensity, working vehicle stock per freight transport operator, market concentration level, freight transportation distance, market share of road freight transportation, ton-kilometer per value added of industry, industrialization level and economic growth. Building on the results, we suggest that economic growth is the most important factor in increasing CO2 emissions, whereas the ton-kilometer per value added of industry and the market concentration level contribute significantly to decreasing CO2 emissions. We also discussed some recent important policies concerning factors contained in the decomposition model.
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