Energy consumption and CO2 emissions in Eastern and Central China: A temporal and a cross-regional decomposition analysis
Introduction
Due to rapid industrialization and urbanization, the increment of CO2 emissions in China had kept a continuously high speed for over 30 years, and such uptrend cannot be changed within mid-term. China has become the largest CO2 emission country in the world (Wikipedia, 2015). Besides, energy consumption has been recognized as the main contributor to the rise in CO2 emissions during the entire process of global industrialization. Fossil fuel combustion produces roughly 80% of global greenhouse gas emissions in the form of CO2, while it also contributes to the methane (CH4) and nitrous (N2O) emissions (IEA [Clean Coal Center] 2002). Even in the most environmentally ambitious interpretation of the Copenhagen Accord, energy-related CO2 emissions are forecasted to reach 31.9 Gt in 2020, and share about 70% of global greenhouse gas emissions (IEA, World Energy Outlook, 2010). In 2008, coal accounted for nearly 32% of global fossil fuel consumption and 38% of its related CO2 emissions (Abadie et al., 2011). Moreover, over 80% of CO2 emissions from China in 2008 are caused by coal combustion (CDIAC [Carbon Dioxide Information Analysis Center] 2011). It can be imagined that CO2 emission mitigation in China should be mainly depended on low-carbon coal utilization technology and developing non-fossil energy. As well known, CO2 emissions per unit of GDP should be reduced by 17%, while energy intensity should be reduced by 16% during the 12th five-year-plan period (i.e., from 2011 to 2015), and these statements clearly express a focus on the measures of energy-saving and CO2 emission mitigation. Moreover, the national planning target in China requires that CO2 emissions per unit of GDP should be reduced by 40–45% from 2005 to 2020. Undoubtedly, Chinese economy will still need to follow the road of low-carbon development from a long term view. Therefore, this carbon intensity will still appear a downward trend within long-term, whereas CO2 emissions will still go upward even after 2020. Under these circumstances, Chinese government should adopt effective measures and policies to mitigate CO2 emissions in order to cope with increasing pressure from international community.
On the other side, the regional disparities related energy consumption structure should be considered. Due to imbalances in the economic level and resource distribution, the regional characteristics of energy consumption in China also display distinct patterns. According to the situation of economy and geography, China has been officially divided into three dominant regions, namely eastern, central and western regions. Generally speaking, central region is considered as production base of agriculture, energy and raw materials in China. During the process of industrial structure migration, central region undertakes the responsibility for the linkage between eastern and western regions. Then what are the characteristics of the regional disparities involving energy consumption growth and energy-related CO2 emission increment? And what can we learn from such regional differences? In particular, with heavy industrial structure in eastern region moving westward, how will central region perform to overcome the “bottleneck” of energy and environment? A lot of studies have analyzed energy consumption and carbon emissions from China or some provinces in China, and decomposed them over the periods from the 1950s to the 2000s (Huang, 1993, Liu et al., 2007, Ma and Stern, 2008, Sinton and Levine, 1994, Wang et al., 2005, Wei and Zhou, 2009, Wu et al., 2006, Zhang, 2003). These time series decompositions are helpful for understanding why Chinese economy had become energy dependent and high carbonized, and what factors had reduced the ratio of carbon emissions to GDP. However, such time series studies cannot make out why differences in carbon emissions occur between different provincial regions in China. Then why carbon intensity was changed by region during several studied periods should be analyzed temporal decomposition approach. And what driving forces had caused such regional disparity should be analyzed by cross-regional decomposition approach.
According to the scale and speed of regional economic development, this paper selects nine typical provinces and cities in eastern and central China as object region. Then several energy economic indicators such as energy-related CO2 emissions and carbon intensity are compared among those regions from 1990 to 2010. Then the major factors governing CO2 emissions per unit of GDP and CO2 emissions per capita are analyzed by applying a temporal and a cross-regional Logarithmic Mean Divisia Index (i.e., LMDI) technique. And the driving forces that bring about differences in above two forms of carbon intensity between eastern and central China are comparatively analyzed. Finally, policy suggestions are given according to the result analyses. In this study, not only the changing processes of CO2 emissions by region in eastern and central China are decomposed and compared, the driving forces for the difference of CO2 emissions between eastern and central China are also decomposed and analyzed.
Section snippets
Methodology
Studies on the decomposition analysis of intensity indicators associated with CO2 emissions have become very popular in research on climate change. Two kinds of decomposition analysis methodologies (i.e., Index Decomposition Analysis and Structural Decomposition Analysis) are often used to depict changing in energy-related CO2 emissions. Many index decomposition methods such as the Laspeyres Index (LI), the Refined Laspeyres Index (RLI), the Arithmetic Mean Divisia Index (AMDI), and the
Comparison of main indicators
Firstly, main energy economic indicators associated with energy-related CO2 emissions by region are evaluated during the entire study period from 1990 to 2010. Then the interaction of economic growth, energy consumption and its related CO2 emissions in eastern and central China can generally be understood.
In terms of energy intensity, only primary energy consumption has been considered in this study in order to avoid double accounting. As shown in Fig. 2, primary energy consumption per unit of
Conclusions
In summary, two forms of energy-related CO2 emission intensity between eastern and central China are compared and decomposed. Firstly, CO2 emissions per capita in central China consistently kept at a relatively lower level compared with that in most eastern regions during the entire study period. The income effects remained the primary driving force to make this variation, and such role had worked on a steady increment in the level of this carbon intensity in central China. Due to lower lever
Acknowledgments
This study was supported by The Energy Foundation and The National Social Science Fund in China (10BJLO34).
Aijun Li The current research direction is energy economic analysis and regional planning. The main research achievements include the interregion analysis of energy, economics and environment in China, regional energy-saving potential assessment and energy technology assessment.
References (35)
- et al.
Factorizing changes in energy and environmental indicators through decomposition
Energy
(1998) - et al.
Inter-regional comparisons of energy-related CO2 emissions using the decomposition technique
Energy
(1999) - et al.
Handling zero values in the logarithmic mean Divisia index decomposition approach
Energy Policy
(2007) - et al.
Decomposition analysis of CO2 emission intensity between oil-producing and non-oil-producing Sub-Saharan African countries
Energy Policy
(2006) - et al.
CO2 emissions in Greece for 1990–2002: a decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques
Energy
(2008) Industry energy use and structural change: a case study of The People's Republic of China
Energy Econ.
(1993)- et al.
Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: an empirical analysis
Energy Policy
(2007) - et al.
The role of China in mitigating climate change
Energy Econ.
(2012) - et al.
International comparison of industrial CO2 emission trend and the energy efficiency paradox utilizing production based decomposition
Energy Econ.
(2012) - et al.
Methodological issues in cross-country/region decomposition of energy and environment indicators
Energy Econ.
(2001)
Analysis of CO2 emissions in APEC countries: a time-series and a cross-sectional decomposition using the log mean Divisia method
Energy Policy
China's changing energy intensity trend: a decomposition analysis
Energy Econ.
Changing energy intensity in Chinese industry
Energy Policy
Decomposition of energy-related CO2 emission in China: 1957–2000
Energy
Dynamics of energy-related CO2 emissions in China during 1980 to 2002: the relative importance of energy supply-side and demand-side effects
Energy Policy
Solar emergy evaluation for Chinese economy
Energy Policy
Optimal abandonment of EU coal-fired stations
Energy J.
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Mingming Hu The current research area is energy system analysis. The projects participated in mainly include water resource protection in Western China, and industrial energy-saving and carbon emissions in central China.
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