Journal of University of Chinese Academy of Sciences >
Empirical study on the influencing factors of coal consumption in Shanxi province
Received date: 2015-07-08
Revised date: 2016-04-11
Online published: 2016-09-15
In this study, the method of logarithmic mean Divisia index and vector autoregression model were used to analyze the influence factors of coal consumption in Shanxi province during 1988-2013. The results are as follows. 1) The wealth effect is the main driver of growth in total coal consumption. 2) In the short term technological progress suppresses coal consumption, but there exists "rebound effect" in the long run. 3) Population plays a weak role in promoting flow growth of coal consumption while the contribution rate of urbanization to coal consumption of the stock is up to 30.91%. 4) The impact of industrial structure adjustment on coal consumption in Shanxi is very weak, and variance decomposition shows that the average contribution rate is only 3.98%.
Key words： coal consumption; influence factor; LMDI; VAR Model; Shanxi province
DONG Jiefang , WANG Qiang , WANG Xingmin , ZHANG Xiaolei . Empirical study on the influencing factors of coal consumption in Shanxi province[J]. Journal of University of Chinese Academy of Sciences, 2016 , 33(5) : 641 -650 . DOI: 10.7523/j.issn.2095-6134.2016.05.010
[1] Carbon Dioxide Information Analysis Center. Global carbon budget 2014:USA[EB/DL].(2015-03-17)[2015-07-02].http://cdiac.ornl.gov/GCP/carbonbudget/2014/#.DOI:10.5194/essdd-7-521-2014.
[2] Xu S C,He Z X,Long R Y.Factors that influence carbon emissions due to energy consumption in China:decomposition analysis using LMDI[J].Applied Energy,2014, 127(6):182-193.
[3] Wang Q.China's citizens must act to save their environment[J].Nature,2013,497(7448):159-159.
[4] 刘先涛,石俊.中国能源消费与经济增长的向量自回归模型检验分析[J].统计与决策,2014(10):128-130.
[5] Wang Q,Li R R.Journey to burning half of global coal:trajectory and drivers of China's coal use[J].Renewable & Sustainable Energy Reviews,2016,58:341-346.
[6] Soytas U,Sari R.Energy consumption and GDP:causality relationship in G-7 countries and emerging markets[J].Energy Economics,2003,25(1):33-37.
[7] Yong U G,Aie-Rie L.Cointegration,error-correction,and the relationship between GDP and energy:the case of South Korea and Singapore[J].Resource & Energy Economics,1998,20(1):17-25.
[8] Lin B,Moubarak M.Renewable energy consumption:economic growth nexus for China[J]. Renewable & Sustainable Energy Reviews,2014,40(C):111-117.
[9] 梁经纬,刘金兰,柳洲.能源消费与经济增长非线性动态关系研究[J].干旱区资源与环境,2014,28(5):1-6.
[10] Yuan J H,Kang J G,Zhao C H,et al.Energy consumption and economic growth:evidence from China at both aggregated and disaggregated levels[J].Energy Economics,2008,30(6):3077-3094.
[11] Yoo S H.Causal relationship between coal consumption and economic growth in Korea[J]. Applied Energy,2006,83(11):1181-1189.
[12] Yang H Y.A note on the causal relationship between energy and GDP in Taiwan[J].Energy Economics,2000,22(3):309-317.
[13] Wolde-Rufael Y.Disaggregated industrial energy consumption and GDP:the case of Shanghai,1952-1999[J]. Energy Economics,2004,26(1):69-75.
[14] Wolde-Rufael Y. Coal consumption and economic growth revisited[J]. Applied Energy, 2010,87(1):160-167.
[15] Li F,Song Z,Liu W. China's energy consumption under the global economic crisis:decomposition and sectoral analysis[J]. Energy Policy,2014,64:193-202.
[16] Wang Q, Chen X, Jha A N, et al. Natural gas from shale formation:The evolution, evidences and challenges of shale gas revolution in United States[J]. Renewable & Sustainable Energy Reviews,2014,30(2):1-28.
[17] Govindaraju V G R C,Tang C F. The dynamic links between CO2 emissions, economic growth and coal consumption in China and India[J].Applied Energy,2013,104(2):310-318.
[18] Tiwari AK,Shahbaz M,Hye Q M A. The environmental Kuznets curve and the role of coal consumption in India:cointegration and causality analysis in an open economy[J]. Renewable and Sustainable Energy Reviews,2013,18(2):519-527.
[19] 张宏,李仲学.煤炭需求影响因素及情景分析[J].煤炭学报,2007,32(5):557-560.
[20] 孔宪丽.中国煤炭消费与影响因素动态关系的实证分析:兼论煤炭消费的非对称价格效应[J].资源科学,2010,32(10):1830-1838.
[21] 刘满芝,王锐,周梅华,等.中国区域煤炭消费影响效应的比较分析:基于面板数据模型的实证经验[J].资源科学,2011,33(9):1641-1649.
[22] 陈闻君,佘开勇.中国省域煤炭消费空间格局演化特征[J].地理与地理信息科学,2014,30(2):56-60.
[23] 林伯强,毛东昕.煤炭消费终端部门对煤炭需求的动态影响分析[J].中国地质大学学报:社会科学版,2014,14(6):1-12.
[24] 王保忠,黄解宇,王保庆.山西省经济增长与煤炭生产量、消费量的相关性分析[J].技术经济,2008,27(12):60-64.
[25] 张运.山西经济增长与能源消费的关系分析[D].太原:山西财经大学,2012.
[26] 李连光,景普秋.煤炭资源开发与山西经济增长之间关系的实证研究[J].中北大学学报:社会科学版,2010,26(2):47-54.
[27] 赵国浩,凌涛.可持续发展视角下的山西煤炭工业发展研究[J].煤炭经济研究, 2010,30(5):4-7.
[28] 张晓.基于山西省煤炭资源可持续发展的研究[J].首都师范大学学报:自然科学版,2016,37(1):72-76.
[29] 赵国浩,车康模,卢晓庆.基于产业集中度视角的山西煤炭资源整合分析[J].煤炭经济研究,2010,30(2):15-18.
[30] 王保忠,李忠民,王保庆.基于代际公平视角的煤炭资源跨期配置机制研究:以晋陕蒙为例[J].资源科学,2012,34(4):704-710.
[31] 吴青龙,郭丕斌,王云.资源型区域转型视角的山西煤炭市场地位演变分析[J]. 干旱区资源与环境,2016,30(1):7-13.
[32] 薛曜祖.山西煤炭市场价格指数体系建设研究[J].价格理论与实践,2013(7):66-67.
[33] 《山西省煤炭价格形成机制研究》课题组.山西省煤炭价格形成机制研究[J].价格理论与实践,2013(7):43-48.
[34] Davis S J,Ken C.Consumption-based accounting of CO2 emissions[J].Proceedings of the National Academy of Sciences,2010,107(12):5687-5692.
[35] Ang B W,LIU F L.A new energy decomposition method:perfect in decomposition and consistent in aggregation[J].Energy,2001,26(6):537-548.
[36] Ang B W.Decomposition analysis for policymaking in energy:Which is the preferred method?[J].Energy Policy,2004,22(9):1131-1139.
[37] Ang B W.The LMDI approach to decomposition analysis:a practical guide[J].Energy Policy,2005,33(7):867-871.
[38] Sims C A.Macroeconomics and Reality[J]. Econometrica,1980, 48(1):1-48.
[39] Nyberg H,Saikkonen P.Forecasting with a noncausal VAR model[J].Computational Statistics & Data Analysis,2014,76:536-555.
[40] Xu B,Lin B.Carbon dioxide emissions reduction in China's transport sector:a dynamic VAR (vector autoregression) approach[J].Energy,2015,83:486-495.
[41] 高铁梅.计量经济分析方法与建模[M].北京:清华大学出版社,2012:320-349.
[42] York R, Rosa E A,Dietz T.STIRPAT, IPAT and ImPACT:analytic tools for unpacking the driving forces of environmental impacts[J]. Ecological Economics,2003,46(3):351-365.
[43] Zhao C,Chen B, Hayat T,et al.Driving force analysis of water footprint change based on extended STIRPAT model:evidence from the Chinese agricultural sector[J].Ecological Indicators,2014,47:43-49.
[44] 张晓峒.计量经济学软件EViews使用指南[M].天津:南开大学出版社,2004:303-310.
[45] Pereira A M,Rui M M P. Is fuel-switching a no-regrets environmental policy? VAR evidence on carbon dioxide emissions,energy consumption and economic performance in Portugal[J]. Energy Economics,2010,32(1):227-242.
[46] Pradhan R P,Arvin M B,Ghoshray A.The dynamics of economic growth,oil prices,stock market depth, and other macroeconomic variables:evidence from the G-20 countries[J].International Review of Financial Analysis,2015,39:84-95.
[47] Ozdemir S,Akgul I.Inflationary effects of oil prices and domestic gasoline prices:Markov-switching-VAR analysis[J]. Pattern Recognition Letters,2011,22(12):1337-1345.
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