Abstract
Understanding of the influencing factors of industrial sector carbon dioxide emissions is essential to reduce natural and anthropogenic greenhouse gas emissions. In this paper, we applied the Logarithmic Mean Divisia Index (LMDI) decomposition method based on the extended Kaya identity to analyze the changes in industrial carbon dioxide emissions resulting from 39 industrial sectors in Inner Mongolia northeast of China over the period 2003–2012. The factors were divided into five types of effects i.e., industrial growth effect, industrial structure effect, energy effect, energy intensity effect, population effect and comparative analysis of differential influences of various factors on industrial sector. Our results clearly show that (1) Industrial sector carbon dioxide emissions have increased from 134.00 million ton in 2003 to 513.46 million ton in 2012, with an annual average growth rate of 16.097%. The industrial carbon dioxide emissions intensity has decreased from 0.99 million ton/billion yuan to 0.28 million ton/billion yuan. Also, the energy structure has been dominated by coal; (2) Production and supply of electric power, steam and hot water, coal mining and dressing, smelting and pressing of ferrous metals, petroleum processing, coking and nuclear fuel processing, and raw chemical materials and chemical products account for 89.74% of total increased industrial carbon dioxide emissions; (3) The industrial growth effect and population effect are found to be a critical driving force for increasing industrial sector carbon dioxide emissions over the research period. The energy intensity effect is the crucial drivers of the decrease of carbon dioxide emissions. However, the energy structure effect and industrial structure effect have considerably varied over the study years without displaying any clear trend.
Highlights
Global warming which is caused by emissions of greenhouse gases has become one of the world’s major environmental problems and draws much attention [1]
Using the Logarithmic Mean Divisia Index (LMDI) decomposition method, we can investigate what factors will have a major effect on the changes resulting from industrial carbon dioxide emissions over the research period 2003–2012
The carbon dioxide emissions are influenced by the different factors at different times, and the effects are different for different industries
Summary
Global warming which is caused by emissions of greenhouse gases has become one of the world’s major environmental problems and draws much attention [1]. Many politicians and academics have made efforts to adopt effective policies that determine the carbon dioxide reductions targets and reduce whole energy consumption, which mostly depends on fossil fuels, as well as ensuring environmental and economic sustainability. With the development of industrial production and the gradual improvement of people’s living standards, energy consumption of economic activity is gradually increasing and carbon dioxide emissions caused by energy consumption are increasing as well. The energy reduction problem is more and more obvious, and has hindered the industrialization of the province significantly. It is very necessary for a deeper understanding of the change of energy related carbon dioxide emissions in the industrial sector as one of the most important carbon dioxide emissions contributors in Inner Mongolia. In order to accomplish this, a possible method is to decompose the influencing factors which are effect the change in industrial carbon dioxide emissions into proper parts
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