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- W2024656587 abstract "More than 40% of China's total CO2 emissions originate from the power industry. The realization of energy saving and emission reduction within China's power industry is therefore crucial in order to achieve CO2 emissions reduction in this country. This paper applies the autoregressive-distributed lag (ARDL) co-integration model to study the major factors which have influenced CO2 emissions within China's power industry from 1980 to 2010. Results have shown that CO2 emissions from China's power industry have been increasing rapidly. From 1980 to 2010, the average annual growth rate was 8.5%, and the average growth rate since 2002 has amounted to 10.5%. Secondly, the equipment utilization hour (as an indicator of the power demand) has the greatest influence on CO2 emissions within China's power industry. In addition, the impact of the industrial added value of the power sector on CO2 emissions is also positive from a short-term perspective. Thirdly, the Granger causality results imply that one of the important motivators behind China's technological progress, within the power industry, originates from the pressures created by a desire for CO2 emissions reduction. Finally, this paper provides policy recommendations for energy saving and emission reduction for China's power industry." @default.
- W2024656587 created "2016-06-24" @default.
- W2024656587 creator A5013779064 @default.
- W2024656587 creator A5054681016 @default.
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- W2024656587 date "2013-06-01" @default.
- W2024656587 modified "2023-10-02" @default.
- W2024656587 title "Factors influencing CO2 emissions in China's power industry: Co-integration analysis" @default.
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- W2024656587 doi "https://doi.org/10.1016/j.enpol.2012.11.037" @default.
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