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A spatial-temporal decomposition analysis of China's carbon intensity from the economic perspective

机译：经济学视角下中国碳强度的时空分解分析

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To reduce carbon intensity efficiently, it is important to identify regional differences of China's carbon intensity considering the decoupling relationship between economic output and carbon emissions. This paper divided China's 30 provinces into 4 regions based on the relationship between the average annual growth rates of CO2 emissions and GDP, and explored the driving forces of carbon intensity in 2000 and 2015 for China's 30 provinces and 4 regions This decomposition method can provide the rankings and specific drivers of carbon intensity, including energy intensity, industrial structure and energy structure. The results show that during 2000-2015, all provinces' carbon intensity decreased except for Hainan. Ningxia, Shanxi, Guizhou, Qinghai and Xinjiang were the five top provincial drivers of the carbon intensity growth in China. Energy intensity was the most important driving factor influencing the change of carbon intensity. Industrial structure and energy structure had small effects on the change of carbon intensity. Moreover, the region III with a high CO2 emission growth rate and a low GDP growth rate had a poor performance of carbon intensity, due to the large impact of energy intensity. Based on the results of this study, the reduction in carbon intensity could be achieved by further reducing energy intensity, optimizing energy and industrial structure, especially in the provinces with fast CO2 growth rates and slow GDP growth rates. (C) 2019 Elsevier Ltd. All rights reserved.
机译：为了有效降低碳强度，考虑经济产出与碳排放之间的脱钩关系，确定中国碳强度的区域差异非常重要。本文根据CO2排放的年均增长率与GDP的关系将中国的30个省分为4个区域，并探索了2000年和2015年中国30个省和4个区域的碳强度驱动力。碳强度的排名和具体驱动因素，包括能源强度，产业结构和能源结构。结果表明，在2000-2015年期间，除海南外，所有省份的碳强度均下降。宁夏，山西，贵州，青海和新疆是中国碳强度增长的五个主要省份。能量强度是影响碳强度变化的最重要驱动因素。产业结构和能源结构对碳强度的变化影响很小。此外，由于能源强度的巨大影响，二氧化碳排放增长率高，GDP增长率低的III区的碳强度表现较差。根据这项研究的结果，碳强度的降低可以通过进一步降低能源强度，优化能源和产业结构来实现，特别是在二氧化碳增速快而GDP增速慢的省份。 （C）2019 Elsevier Ltd.保留所有权利。

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