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Open AccessArticle

Spatial Pattern of a Comprehensive fE Index for Provincial Carbon Emissions in China

1
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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University of Chinese Academy of Sciences, Beijing 100049, China
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Council for Scientific and Industrial Research-Institute of Industrial Research, P.O. Box, Legon-Accra LG 576, Ghana
4
Research Institute of China National Offshore Oil Corporation, Beijing 100027, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(10), 2604; https://doi.org/10.3390/en13102604
Received: 24 March 2020 / Revised: 18 May 2020 / Accepted: 19 May 2020 / Published: 20 May 2020
China has committed to ambitious targets to reduce its carbon emissions in the next decades, in order to combat climate change and improve the environment. The realization of the targets depends on the fair and effective mitigation plans of all provinces. However, with varying ecological and environmental conditions and social-economic development, it is a critical issue to quantify the provinces’ efforts equally. This paper proposed a comprehensive fE index in coordinating ecology, equity and economy, by accounting for carbon emissions and sinks to characterize provincial carbon emission status in China, from 2000 to 2017, which shows a spatial pattern of “boundary high, central low”. The provinces with higher fE value (>1.5) in boundary areas can be seen as “relative equality” provinces with good ecology circulation, equity and economic efficiency. The provinces with lower fE value (<0.7) in central areas around Bohai Bay are regarded as “severe inequality” provinces, and are identified as the hot-spot provinces, which have emitted more CO2 than their equity share by occupying the carbon emission space of other provinces in recent decades. These results could provide a reference for a provincial guide for carbon reduction and sustainable development of the low-carbon economy. View Full-Text
Keywords: provincial carbon emission and sink; spatial pattern; ecology; equity; economy provincial carbon emission and sink; spatial pattern; ecology; equity; economy
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MDPI and ACS Style

Sun, L.; Cui, H.; Ge, Q.; Adenutsi, C.D.; Hao, X. Spatial Pattern of a Comprehensive fE Index for Provincial Carbon Emissions in China. Energies 2020, 13, 2604.

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