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基于脱钩指数和LMDI的青海省绿色低碳发展策略研究
引用本文:王敏,冯相昭,安祺,卓岳,赵梦雪,杜晓林,王鹏.基于脱钩指数和LMDI的青海省绿色低碳发展策略研究[J].气候变化研究进展,2021,17(5):598-607.
作者姓名:王敏  冯相昭  安祺  卓岳  赵梦雪  杜晓林  王鹏
作者单位:1.生态环境部环境与经济政策研究中心能源环境政策研究部,北京 1000292 北京中创碳投科技有限公司,北京 100041
基金项目:青海省应对气候变化研究项目(QHDY-2010-100);中国长江三峡集团有限公司项目《长江大保护环保产业可持续环境经济评估模型研究》(201903160);生态环境部“碳排放达峰行动”项目
摘    要:推动青海省绿色低碳转型发展,既是推进黄河流域生态保护和高质量发展的迫切需要,也有助于缓解我国应对气候变化和碳减排工作压力。采用Tapio脱钩指数和对数平均迪氏指数(LMDI)分解法,在分析能源消费及碳排放变化与经济总量增长脱钩关系的基础上,对影响能源消费及碳排放的因素进行了分解研究,提出了推动青海省绿色低碳发展转型的着力点。主要结论:能源消费及碳排放与经济总量增长实现脱钩,且“十三五”时期“喇叭口”现象日益明显;人口和经济增长是能源消费和碳排放增长的主要驱动力;能源强度下降总体上减缓了能源消费和碳排放的增长,与第二产业能源消费强度变化密切相关;能源结构调整有效抑制了碳排放增长,且抑制作用不断增强;产业结构调整缓解能源消费需求的作用全面显现,但还需进一步调整第二产业结构。建议:提高有色金属冶炼、化工以及非金属矿物制品业等传统工业用煤效率和燃煤发电效率;减少对有色金属冶炼、化工等传统工业的过度依赖;推动风、光、水、火、储多能集约高效利用。

关 键 词:能源消费  碳排放  脱钩指数  因素分解  对数平均迪氏指数(LMDI)  青海省  
收稿时间:2020-09-17
修稿时间:2020-10-19

Study on green and low-carbon development in Qinghai province based on decoupling index and LMDI
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].Advances in Climate Change,2021,17(5):598-607.
Authors:WANG Min  FENG Xiang-Zhao  AN Qi  ZHUO Yue  ZHAO Meng-Xue  DU Xiao-Lin  WANG Peng
Institution:1.Department of Energy and Environmental Policy Research, Policy Research Center for Environment and Economy, Ministry of Ecology and Environment, Beijing 100029, China2 Beijing Zhongchuang Carbon Investment Technology Co., LTD., Beijing 100041, China
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.
Keywords:Energy consumption  Carbon emission  Decoupling index  Factor decomposition  Log mean decompostion index (LMDI)  Qinghai province  
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