Study on green and low-carbon development in Qinghai province based on decoupling index and LMDI

doi:10.12006/j.issn.1673-1719.2020.216

Abstract

Abstract:

Promoting green and low-carbon development of Qinghai province, is not only an urgent need for promoting ecological conservation and high-quality development of the Yellow River basin, but also the concrete embodiment of China’s efforts to address climate change. In the analysis of analyzing the relationship between energy consumption (energy consumption carbon emission) with GDP, this paper analyzed factor decomposition of changes in energy consumption and carbon emission from 2000 to 2019 in Qinghai province, based on decoupling index and log mean decomposition index (LMDI) decomposition model. Besides, some suggestions were put forward according to the above conclusions. The main conclusions are as follows. (1) Both the change of energy consumption and carbon emission were decoupled from economic growth, especially showing an increasingly bell-mouth phenomenon from the 13th five Year Plan, and the “bell-mouth” phenomenon is increasingly obvious; (2) Population and economic growth were the main drivers of energy consumption and carbon emission growth, among which the promoting effect of economic growth is gradually weakening; (3) The decline in energy intensity generally slowed down the growth of energy consumption and carbon emission, which was closely related to the change of energy intensity in the secondary industry; (4) The adjustment of energy structure, marked by a decrease in the share of coal consumption and a rise in the share of renewable energy consumption, had effectively curbed the growth of carbon emissions. After the problem of renewable energy consumption has been alleviated, the inhibiting effect has been continuously strengthened; (5) The effect of industrial restructuring on inhibiting energy consumption demand had been fully manifested, but it is necessary to further optimize the internal structure of the secondary industry, especially to reduce the energy consumption demand of traditional energy-intensive industries. Recommendations: (1) improve the efficiency of both coal and coal-fired power generation, especially in non-ferrous metal smelting, chemicals and non-metallic mineral products; (2) reduce the over-reliance on traditional energy-intensive industries such as non-ferrous metal smelting and chemical industry, and promote the integrated and coordinated development of traditional industries and strategic emerging industries; (3) make overall plans for local consumption of renewable energy and trans-provincial transmission, build a number of multi-energy complementary integrated optimization demonstration projects, and promote the intensive and efficient use of multi-energy storage of wind, light, water, fire and stored energy.

Key words: Energy consumption, Carbon emission, Decoupling index, Factor decomposition, Log mean decompostion index (LMDI), Qinghai province

WANG Min, FENG Xiang-Zhao, AN Qi, ZHUO Yue, ZHAO Meng-Xue, DU Xiao-Lin, WANG Peng. Study on green and low-carbon development in Qinghai province based on decoupling index and LMDI[J]. Climate Change Research, 2021, 17(5): 598-607.

Figures/Tables 10

Fig. 1 Energy consumption, carbon emission and GDP of Qinghai province from 2000 to 2019 (Values in 2000 are equal to 100)

Fig. 2 End energy consumption by sector and energy consumption intensity of Qinghai province from 2000 to 2019

Fig. 3 The decoupling state between energy consumption (energy consumption carbon emission) with GDP from 2000 to 2019

Fig. 4 Proportion of primary energy production by variety in Qinghai province during 2000-2019

Fig. 5 Energy consumption by variety in Qinghai province from 2000 to 2019

Fig. 6 Factors decomposition of energy consumption in Qinghai province from 2000 to 2019

Fig. 7 The proportion of traditional energy-intensive industries accounting for industrial GDP (a) and corresponding energy consumption (b) in Qinghai province from 2000 to 2019

Fig. 8 Energy flow both by industry and variety in Qinghai province in 2019

Fig. 9 Three kinds of fossil energy carbon emission and carbon emission intensity in Qinghai province from 2000 to 2019

Fig. 10 Factors decomposition of carbon emissions in Qinghai province from 2000 to 2019

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