Grey Relational Analysis of Carbon Emission and Energy Consumption from the Perspective of Economic Growth in Guangdong Province
Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v2i5.496
Abstract
The relationship among economy, energy and carbon emission in Guangdong province is analyzed by using grey relational analysis method. Studies show that coal consumption is the main reason for the increase in carbon dioxide emissions in Guangdong province after its rapid economic growth. Therefore, to slow down the carbon dioxide emissions in Guangdong province, the first step is to improve the energy consumption structure.
Keywords
Guangdong Province, carbon emission, grey relational analysis
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[2] Xiong Pingping, Cao Shuren, Yang Zhuo. Grey relational analysis of carbon emissions in East China [J]. Journal of Dalian University of Technology (Social Science Edition), 2021, 4201: 36-44.
[3] Hu Xiaofei, Wang Xiuhui, Wu Shuang. Ecological Economy, 2019, 3507: 49-55.
[4] Li Zongtao. Analysis of the relationship between rural economy and agricultural carbon emissions in Qinghai Province based on grey relational degree. Southern agriculture, 2019, 1332: 106-108.
[5] Bian Lihua, Calculation and grey correlation analysis of carbon emission of Qinghai transportation system. China buslnEss theory, 2018, 25: 142-143.
[6] Guo Jingtao. Empirical analysis and research on energy price and energy market under carbon and sulfur emissions. Jiangsu University, 2017.
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