• Journal of Resources and Ecology
  • Vol. 11, Issue 5, 05000483 (2020)
LIU Xianzhao**
Author Affiliations
  • School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China
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    Abstract

    An accurate understanding of the real situation of energy-related carbon emissions and the main factors driving the carbon emissions increments are crucial for China to realize its emission mitigation targets. Adopting the comparative decomposition of an extended LMDI (Log-Mean Divisia Index) approach, this study decomposed the changes in carbon emissions of Jiangsu, Henan, and Inner Mongolia, which are located in the eastern, central and western parts of China. This analysis led to three main findings. 1) During the period of 1996-2017, the energy-related carbon emissions in the examined provinces exhibited upward trends, but with some differences among the provinces. 2) The influences of driving factors on carbon emissions varied distinctly in different provinces and economic stages. Economic growth had the largest positive effect on provincial carbon emissions increases. From 1996 to 2017, the contribution rates of economic development to emissions growth in Henan, Jiangsu and Inner Mongolia were 307.19%, 205.08% and 161.26%, respectively. This influence was followed by urbanization and population size. 3) Energy intensity played a leading role in facilitating emissions-reduction in the examined provinces, except for during the tenth Five-Year Plan, followed by the energy structure. The effect of rural population proportion was the weakest among all the curbing factors. Furthermore, urban and rural resident°s energy consumption per capita demonstrated relatively minor impacts and disparate directions of influence in the different provinces and economic periods, but began to play increasing roles in driving up provincial emissions changes. For example, residential energy consumption in Jiangsu contributed over 7.9% to the total carbon emission growth in 1996-2017, among which urban residents’ per-capita energy consumption contributed more than 3.8%. In view of these findings, policy makers should formulate targeted emission reduction measures that are based on the distinct situations and key factors which affect carbon emissions in each province.

    1 Introduction

    With the rapid development of the social economy, CO2 emission from energy consumption has become one of the main factors driving climate change. Reducing carbon emissions and developing a low-carbon economy are attracting increasing attention from the international community. According to statistics from the International Energy Agency (IEA), China’s carbon emissions in 2017 accounted for 27.3% of total global CO2 emissions and exceeded the sum of those of the US and EU (Liu et al., 2020). As a responsible country, the Chinese government promised a target of reducing the per unit gross domestic product (GDP) carbon emissions by 60%-65% in 2030 compared with the 2005 levels (Wen and Shao, 2019). The realization of this goal depends not only on the low-carbon transformation of economic development, industrial restructuring and technological progress at the national level, but also to a large extent on the coordinated emission reduction actions at the provincial level. However, across China’s different provinces there are great gaps in social-economic development levels, industrial structure, resource endowment, and residents’ energy consumption and demographic structure, resulting in significant differences in carbon emissions. On the other hand, with the accelerated process of industrialization, the difficulty and the cost of emission reduction are also increasing. Besides, the rapid transformation of population structure, the rapid decline of the rural population proportion and the rise of energy consumption by residents have all brought great pressure to China’s emission mitigation. Accordingly, from the premise of maintaining healthy and stable economic growth, controlling the total carbon emissions of China’s provinces, scientifically allocating emission reduction tasks in each province, and ultimately achieving the overall national emission reduction goals, are the issues that the government must consider when formulating differentiated emission reduction measures. Thus, it is necessary to deeply explore the factors driving regional or provincial carbon emissions growth during the process of China’s economic development, and their relative contributions.

    Copy Citation Text
    Xianzhao* LIU. A Comparative Decomposition Analysis of the Factors Driving Energy-related Carbon Emissions from Three Typical Provinces in China: Jiangsu, Henan and Inner Mongolia[J]. Journal of Resources and Ecology, 2020, 11(5): 483
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    Category: Resource Economy
    Received: Mar. 16, 2020
    Accepted: Apr. 22, 2020
    Published Online: Oct. 17, 2020
    The Author Email: LIU Xianzhao* (1100095@hnust.edu.cn)