• Journal of Natural Resources
  • Vol. 35, Issue 11, 2783 (2020)
Min YANG, Peng-peng ZHANG, Li-xiao ZHANG*, and Yan HAO
Author Affiliations
  • State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
  • show less
    DOI: 10.31497/zrzyxb.20201117 Cite this Article
    Min YANG, Peng-peng ZHANG, Li-xiao ZHANG, Yan HAO. The de-coal process and its driving forces in Beijing[J]. Journal of Natural Resources, 2020, 35(11): 2783 Copy Citation Text show less
    References

    [1] 赵珊. 中国煤炭资源现状及建议. 广州化工, 2014,42(15):52-53. [ ZHAOS. The status and suggestions of coal resources in China. Guangzhou Chemical Industry, 2014,42(15):52-53.] [ZHAO S. The status and suggestions of coal resources in China. Guangzhou Chemical Industry, 2014, 42(15): 52-53.]

    [2] 冯博, 王雪青. 考虑雾霾效应的京津冀地区能源效率实证研究. 干旱区资源与环境, 2015,29(10):1-7. [ FENGB, WANG XQ. Research on energy efficiency considering the haze effect in Beijing-Tianjin-Hebei Metropolitan Region. Journal of Arid Land Resources and Environment, 2015,29(10):1-7.] [FENG B, WANG X Q. Research on energy efficiency considering the haze effect in Beijing-Tianjin-Hebei Metropolitan Region. Journal of Arid Land Resources and Environment, 2015, 29(10): 1-7.]

    [3] 章轲. 专家解读三年行动计划正研究制定全国运输结构调整方案. https://www.yicai.com/news/5436883.html, 2018-07-05. [ ZHANGK. Experts interpretation the three-year action plan study and formulate a plan for adjusting the national transport structure. https://www.yicai.com/news/5436883.html, 2018-07-05.] [ZHANG K. Experts interpretation the three-year action plan study and formulate a plan for adjusting the national transport structure. https://www.yicai.com/news/5436883.html, 2018-07-05.] https://www.yicai.com/news/5436883.html

    [4] SOLOMON BD, KRISHNAK. The coming sustainable energy transition: History, strategies, and outlook[J]. Energy Policy, 39, 7422-7431(2011).

    [5] HE JK, TENGF, QIY. Towards a new climate economics: Research areas and prospects[J]. Chinese Journal of Population, Resources and Environment, 13, 1-9(2015).

    [6] FOUQUETR. Historical energy transitions: Speed, prices and system transformation[J]. Energy Research & Social Science, 22, 7-12(2016).

    [7] 舟丹. 全球第三次能源转型的特征. 中外能源, 2017,22(9):89. [ ZHOUD. Characteristics of the third global energy transition. Sino-Global Energy, 2017,22(9):89.] [ZHOU D. Characteristics of the third global energy transition. Sino-Global Energy, 2017, 22(9): 89.]

    [8] FOUQUETR, PEARSONP J G. Past and prospective energy transitions: Insights from history[J]. Energy Policy, 50, 1-7(2012).

    [9] 世界能源理事会. 全球能源转型(2014). https://www.atkearney.com/documents/10192/5293225/Global+Energy+Transitions, 2018-08-01. [ World Energy Council. Global energy transition (2014). https://www.atkearney.com/documents/10192/5293225/Global+Energy+Transitions, 2018-08-01.] [World Energy Council. Global energy transition (2014). https://www.atkearney.com/documents/10192/5293225/Global+Energy+Transitions, 2018-08-01.] https://www.atkearney.com/documents/10192/5293225/Global+Energy+Transitions

    [10] 吴磊, 詹红兵. 国际能源转型与中国能源革命. 云南大学学报: 社会科学版, 2018,17(3):116-127. [ WUL, ZHAN HB. International energy transitions and energy revolution in China. Journal of Yunnan University: Social Sciences Edition, 2018,17(3):116-127.] [WU L, ZHAN H B. International energy transitions and energy revolution in China. Journal of Yunnan University: Social Sciences Edition, 2018, 17(3): 116-127.]

    [11] 刘坚, 任东明. 欧盟能源转型的路径及对我国的启示. 中国能源, 2013,35(12):8-11. [ LIUJ, REN DM. The path of European Union energy transformation and its enlightenment to China. Energy of China, 2013,35(12):8-11.] [LIU J, REN D M. The path of European Union energy transformation and its enlightenment to China. Energy of China, 2013, 35(12): 8-11.]

    [12] 孙宁鸿, THOMAS SD. 德国实现能源转型的措施与挑战. 中国能源, 2012,34(3):11-14. [ SUN NH, THOMAS SD. Measures and challenges of Germany's energy transformation. Energy of China, 2012,34(3):11-14.] [SUN N H, THOMAS S D. Measures and challenges of Germany's energy transformation. Energy of China, 2012, 34(3): 11-14.]

    [13] 朱彤. 德国与美国当前能源转型进程比较分析. 国际石油经济, 2016,24(5):9-16. [ ZHUT. Comparison analysis on current energy transition in Germany and the United States. International Petroleum Economics, 2016,24(5):9-16.] [ZHU T. Comparison analysis on current energy transition in Germany and the United States. International Petroleum Economics, 2016, 24(5): 9-16.]

    [14] ANGB W, ZHANGF Q. A survey of index decomposition analysis in energy and environmental studies[J]. Energy, 25, 1149-1176(2000).

    [15] CANSINO JM, ROCIOR, MANUELO. Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis[J]. Energy Policy, 89, 150-159(2016).

    [16] 李新运, 吴学锰, 马俏俏. 我国行业碳排放量测算及影响因素的结构分解分析. 统计研究, 2014,31(1):56-62. [ LI XY, WU XM, MA QQ. The measure of China's industry carbon emissions and the structural decomposition analysis of influencing factors. Statistical Research, 2014,31(1):56-62.] [LI X Y, WU X M, MA Q Q. The measure of China's industry carbon emissions and the structural decomposition analysis of influencing factors. Statistical Research, 2014, 31(1): 56-62.]

    [17] 关军, 蒋立红, 张智慧. 我国建筑业物化能增长的结构分解分析. 环境科学研究, 2016,29(11):1718-1724. [ GUANJ, JIANG LH, ZHANG ZH. Structural decomposition analysis of the growth in the Chinese construction sector's embodied energy. Research of Environmental Sciences, 2016,29(11):1718-1724.] [GUAN J, JIANG L H, ZHANG Z H. Structural decomposition analysis of the growth in the Chinese construction sector's embodied energy. Research of Environmental Sciences, 2016, 29(11): 1718-1724.]

    [18] XIE SC. The driving forces of China's energy use from 1992 to 2010: An empirical study of input-output and structural decomposition analysis[J]. Energy Policy, 73, 401-415(2014).

    [19] ZHANG PP, ZHANG LX, TIANX et al. Urban energy transition in China: Insights from trends, socioeconomic drivers, and environmental impacts of Beijing[J]. Energy Policy, 117, 173-183(2018).

    [20] OLANREWAJU OA, JIMOH AA, KHOLOPANE PA. Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model[J]. Energy, 63, 225-232(2013).

    [21] ZHA DL, ZHOU DQ, ZHOUP. Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis[J]. Energy Policy, 38, 3377-3383(2010).

    [22] XU XY, ANG BW. Index decomposition analysis applied to CO2 emission studies[J]. Ecological Economics, 93, 313-329(2013).

    [23] ANG BW, XU XY, SUB. Multi-country comparisons of energy performance: The index decomposition analysis approach[J]. Energy Economics, 47, 68-76(2015).

    [24] 崔盼盼, 张艳平, 张丽君, 等. 中国省域隐含碳排放及其驱动机理时空演变分析. 自然资源学报, 2018,33(5):879-892. [ CUI PP, ZHANG YP, ZHANG LJ, et al. Analysis on the spatial and temporal evolution of indirect carbon emissions and its driving mechanism in China. Journal of Natural Resources, 2018,33(5):879-892.] [CUI P P, ZHANG Y P, ZHANG L J, et al. Analysis on the spatial and temporal evolution of indirect carbon emissions and its driving mechanism in China. Journal of Natural Resources, 2018, 33(5): 879-892.]

    [25] 李兰兰, 徐婷婷, 李方一, 等. 中国居民天然气消费重心迁移路径及增长动因分解. 自然资源学报, 2017,32(4):606-619. [ LI LL, XU TT, LI FY, et al. Gravity center evolution paths and growth factor decomposition of residential natural gas consumption in China. Journal of Natural Resources, 2017,32(4):606-619.] [LI L L, XU T T, LI F Y, et al. Gravity center evolution paths and growth factor decomposition of residential natural gas consumption in China. Journal of Natural Resources, 2017, 32(4): 606-619.]

    [26] 孙倩, 汪鹏, 蔡国田, 等. 基于LMDI的城市能源消费总量指标评价模型研究. 生态经济, 2019,35(6):98-105. [ SUNQ, WANGP, CAI GT, et al. Research on evaluation model of urban energy consumption total indicators based on LMDI. Ecological Economy, 2019,35(6):98-105.] [SUN Q, WANG P, CAI G T, et al. Research on evaluation model of urban energy consumption total indicators based on LMDI. Ecological Economy, 2019, 35(6): 98-105.]

    [27] 李慧芳, 聂锐. 中国能耗变动影响因素的LMDI分解. 统计与决策, 2018,34(13):135-138. [ LI HF, NEIR. LMDI decomposition of influencing factors of energy consumption changes in China. Statistics and Decision, 2018,34(13):135-138.] [LI H F, NEI R. LMDI decomposition of influencing factors of energy consumption changes in China. Statistics and Decision, 2018, 34(13): 135-138.]

    [28] 北京市人民政府. 北京市人民政府关于印发北京市2013—2017年清洁空气行动计划的通知. http://www.beijing.gov.cn/zhengce/zfwj/zfwj/szfwj/201905/t20190523_72673.html, 2013-09-12. [ The People's Government of Beijing Municipality. Notice of the Beijing municipal people's government on the issuance of the clean air action plan for Beijing from 2013 to 2017. http://www.beijing.gov.cn/zhengce/zfwj/zfwj/szfwj/201905/t20190523_72673.html, 2013-09-12.] [The People's Government of Beijing Municipality. Notice of the Beijing municipal people's government on the issuance of the clean air action plan for Beijing from 2013 to 2017. http://www.beijing.gov.cn/zhengce/zfwj/zfwj/szfwj/201905/t20190523_72673.html, 2013-09-12.] http://www.beijing.gov.cn/zhengce/zfwj/zfwj/szfwj/201905/t20190523_72673.html

    [29] CULLEN JM, ALLWOOD JM. The efficient use of energy: Tracing the global flow of energy from fuel to service[J]. Energy Policy, 38, 75-81(2010).

    [30] MAL, ALLWOOD JM, CULLEN JM et al. The use of energy in China: Tracing the flow of energy from primary source to demand drivers[J]. Energy, 40, 174-188(2012).

    [31] ZHANGM, WANGW. Using an energy flow chart to analyze Jiangsu province's energy balance[J]. Renewable Energy, 39, 307-312(2012).

    [32] CHONG CH, MAL, LIZ et al. Logarithmic mean divisia index (LMDI) decomposition of coal consumption in China based on the energy allocation diagram of coal flows[J]. Energy, 85, 366-378(2015).

    [33] ANG BW. The LMDI approach to decomposition analysis: A practical guide[J]. Energy Policy, 33, 867-871(2005).

    [34] 张伟, 张金锁, 孙再罗. 基于LMDI指数分析的中国煤炭消费增长分解研究. 中国矿业, 2014,23(8):42-45. [ ZHANGW, ZHANG JS, SUN ZL. Decomposition research of the coal consumption increment of China based on LMDI. China Mining Magazine, 2014,23(8):52-45.] [ZHANG W, ZHANG J S, SUN Z L. Decomposition research of the coal consumption increment of China based on LMDI. China Mining Magazine, 2014, 23(8): 52-45.]

    [35] 章景皓. 基于能流图和LMDI的区域能源消费分解方法及案例研究. 北京: 清华大学, 2015. [ ZHANG JH. Research on decomposition method and case studies of regional energy consumption growth based on energy flow diagram and LMDI. Beijing: Tsinghua University, 2015.] [ZHANG J H. Research on decomposition method and case studies of regional energy consumption growth based on energy flow diagram and LMDI. Beijing: Tsinghua University, 2015.]

    Min YANG, Peng-peng ZHANG, Li-xiao ZHANG, Yan HAO. The de-coal process and its driving forces in Beijing[J]. Journal of Natural Resources, 2020, 35(11): 2783
    Download Citation