国际原油价格波动对我国宏观经济运行影响的计量研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
众所周知,石油在当今世界范围内,是促进人类社会不断进步,推动全球经济稳健、持续增长的极为重要的物质保障。随着科学技术的进步,石油在国民经济增长以及社会发展历程当中发挥着极其重要的作用。此外,随着中国对外开放的不断扩大以及宏观经济的持续稳健增长,中国对国际原油的需求量以及供给量的依存度在逐年增大,与此同时,国际石油价格的跌宕起伏和剧烈波动,也必然对我国宏观经济运行产生冲击影响。本论文就是在思考上述问题的前提下,特别依托于原油价格的特殊背景,详细讨论了国际原油价格波动的具体特征以及国际原油价格波动对我国宏观经济运行过程的影响问题。本论文具体分为如下6章:
     在第1章中,首先阐述了本论文的选题背景以及本研究的意义所在,进而列示出本论文的研究思路以及具体研究内容,随后基于本论文所要研究的几个问题进行了已有文献的梳理和归纳。主要从如下几方面进行了回顾:一是关于金融与经济时间序列多机制性动态变化效应检验的文献回顾;二是关于金融与经济时间序列长期记忆性检验的文献回顾;三是关于原油价格波动与重要宏观经济变量关系的文献回顾;四是关于我国原油价格定价机制研究的文献回顾。此外,还阐述了本文的主要创新之处。
     在第2章中,重点阐述了本文的核心理论部分,即考虑了能源要素的经济理论与模型。我们首先回顾了新古典经济增长的理论模型,随后探讨了基于新古典经济增长理论模型分析能源投入与宏观经济增长的关联性问题,最后介绍了原油价格序列及其对宏观经济增长影响的计量检验方法。
     在第3章中,本章基于2003年1月至2013年3月期间范围内的我国大庆、胜利和欧洲Brent原油现货价格月度数据,利用“两机制”马尔可夫区制转换模型,将我国大庆、胜利和欧洲Brent原油现货价格时间序列波动过程具体划分为两个不同的机制状态,我们将其称为“低价格机制”和“高价格机制”。同时,在具体考虑了“低价格机制”和“高价格机制”这两个不同机制状态后,运用马尔可夫区制转换模型计算国内外原油市场价格时间序列在不同机制之间相互转换的转换概率,对国内外原油市场价格序列的多机制性动态变化效应进行分析。
     在第4章中,本章选取2003年1月至2013年3月期间范围内的我国大庆、胜利和欧洲Brent原油现货价格月度数据来具体度量国内外原油价格,并进一步计算国内外原油市场对数收益率时间序列。在此基础上,本文首先介绍和描述了我国大庆、胜利和Brent原油现货价格时间序列以及我国大庆、胜利和Brent原油现货价格对数收益率时间序列的时间变化特征,并刻画了我国大庆、胜利和Brent原油现货价格对数收益率时间序列的时变波动性与分布特征。随后,我们试图基于Student-t分布取代正态分布来具体描述国内外原油市场收益率时间序列中所显著具有的“尖峰厚尾”分布性质,进而通过构建ARFIMA模型、FIGARCH模型以及ARFIMA-FIGARCH模型对我国大庆、胜利和Brent原油现货价格对数收益率时间序列的动态过程进行系统全面分析,旨在测度和识别国内外原油市场收益率时间序列及其波动率时间序列中是否具有长期记忆性效应特征。
     在第5章中,本章基于1998年第1季度至2013年第1季度区间范围内的Brent现货价格季度数据来具体度量国际原油价格,同时基于1998年第1季度至2013年第1季度区间范围内的我国实际GDP增长率季度数据来具体度量我国宏观经济增长,利用向量自回归(VAR)模型构建与估计、Granger因果关系检验、冲击响应函数估计以及方差分解方法来具体检验国际原油价格与我国GDP增长率之间的关联性问题。另外,我们基于H-P滤波技术获得Brent现货价格季度数据的周期成分时间序列以及我国GDP增长率季度数据的周期成分时间序列,运用向量自回归(VAR)模型构建与估计、Granger因果关系检验、冲击响应函数估计以及方差分解方法来具体检验国际原油价格波动与我国GDP增长率波动性之间的关联性问题。此外,本章基于1998年1月至2013年3月区间范围内的Brent现货价格月度数据具体度量国际原油价格,并基于1998年1月至2013年3月区间范围内的我国消费者价格指数月度数据、工业品出厂价格指数月度数据,运用多元向量自回归(VAR)模型构建与估计、Granger因果关系检验、冲击响应函数估计以及方差分解方法来具体检验国际原油价格对我国重要宏观经济变量的关联性问题。
     在第6章中,本章首先介绍了中国的现行石油定价机制,在此基础上,具体分析了中国现行石油定价机制的优势和弊端。进而,本章总结了我国现行石油定价机制当中存在的一些问题。最后,本章提出了一些完善中国石油定价机制的改革建议。
As we all know, the oil in the world today is to promote the continuous progress of humansociety, and to promote a healthy global economy, a very important matter to sustained growth.With the advancement of science and technology, oil economic growth and social development inthe course of which play a very important role. In addition, along with expanding China's openingup and sustained robust macroeconomic growth, China's dependence on the demand and supply inthe international crude oil increased every year, in addition, the ups and downs of international oilprices and volatility, are bound have an impact on China's macroeconomic performance. Underthe premise of this thesis is to think about these issues, particularly relying on special backgroundin crude oil prices, a detailed discussion of the specific characteristics of international crude oilprice fluctuations, as well as the impact of international crude oil price fluctuations on thecountry's macroeconomic performance in the process. This thesis is divided into the followingchapters specifically:
     In Chapter1, the first topic of this paper describes the background, and the significance ofthe study, and then lists out the thesis research ideas and the specific contents, then several issuesto be studied in this thesis has been carried out based on combing the literature and summarized,mainly from the following aspects were reviewed: First, the literature on financial and economictime series multi-institutional review of the dynamic changes in effect test; Second, the literatureon financial and economic time series of long-term memory test review; Third, the literature onthe relationship between crude oil price fluctuations review of key macroeconomic variables;Fourth review of the literature on the price of crude oil pricing mechanism research. In addition,this paper describes the main innovations.
     In Chapter2, focusing on the core of the theoretical part of this paper, that is, considering theenergy element of economic theory and model introduction. We first review the theoretical modelof neoclassical economic growth, then discusses the analysis of energy investment and economicgrowth in the neoclassical theory of economic growth model based on association issues.
     In Chapter3, on the basis of China's Daqing, Shengli and European Brent crude oil spotprices in the range of monthly data from January2003to March2013period, the use of "two mechanisms," Markov Regime Switching model, our Daqing, Victory Brent crude oil spot pricesand European volatility time series is divided into two distinct processes specific mechanismsstate, we call it "low price mechanism" and "high price mechanism," while, in specificconsideration of the "low-price mechanism" and "High price mechanism" status after these twodifferent mechanisms, the use of Markov switching model transition probabilities domestic crudeoil market price time series between different mechanisms conversion calculations, the price ofdomestic crude oil market mechanisms sequence of multi-analyze the effects of dynamicchanges.
     In Chapter4, the paper selected our Daqing, Shengli and European Brent crude oil spotprices in the range of monthly data from January2003to March2013period to measure specificdomestic crude oil prices, domestic oil market and further calculate the logarithm yield time series,on this basis, this paper introduces and describes the time-varying characteristics of China'sDaqing, Shengli and the spot price of Brent crude oil as well as the time series of Daqing, Shengliand the spot price of Brent crude oil yield logarithmic time sequence and characterization ofChina's Daqing, Shengli, and when the spot price of Brent crude oil on the number of time seriesof yield volatility and changes in distribution, then we try to replace based on Student-tdistribution to specifically describe the normal domestic and international crude oil market yieldtime series The significant "fat tail" distribution properties have, and then by building ARFIMAmodel, FIGARCH model and ARFIMA-FIGARCH model of Daqing, Shengli and Brent crude oilspot prices on the dynamic process of several yield time series of systematic and comprehensiveanalysis aimed In the measure and identify domestic and foreign crude oil market yields andvolatility time series time series are characterized by long-term memory effects.
     In Chapter5, on the one hand based on the first quarter1998to first quarter2013Brent spotprice range range of quarterly data to measure specific international crude oil prices, and based onthe first quarter1998to first quarter2013quarterly data within the range of the interval to realGDP growth of China's macro-economic growth of specific measure, the use of vectorautoregression (VAR) model building and estimation, Granger causality test, impulse responsefunctions and variance decomposition method to estimate the specific test of international crudeoil issue price cycle correlation between GDP growth and China, in addition, we have obtainedthe spot price of Brent quarterly data based on HP filtering technology cycle component of timeseries and a quarter of China's GDP growth rate component of time series data, using vectorautoregression (VAR) model building and estimation, Granger causality test, impulse response functions and variance decomposition method to estimate the specific inspection problemsassociated with the international crude oil price fluctuations in the volatility of GDP growthbetween. In addition, this chapter based on monthly data Brent spot price of the January1998-March2013period ranges specific measure in international crude oil prices and the monthlyconsumer price index in China based on the January1998-March2013period range data, themonthly producer price index data, the use of multi-vector autoregression model construction andestimation (VAR), Granger causality test, impulse response functions and variance decompositionmethod to estimate the specific test of international crude oil prices related to key macroeconomicvariables issues.
     In Chapter6, the paper first introduces the current oil pricing mechanism in China, on thisbasis, a detailed analysis of the advantages of China's current oil pricing mechanism and thedrawbacks of China's current oil pricing mechanism, and further, the paper summarizes our Someproblems of the existing pricing mechanism exists among the specific end, this paper also putsforward some improvement in China's oil pricing mechanism reform program.
引文
[1]陈达忠.国际高油价对我国经济影响的实证分析.国际石油经济,2005,(11):24-27.
    [2]陈惠芬,张安平.国际油价上涨对我国经济影响的实证分析.价格理论与实践,2006,(8):49-50.
    [3]陈颜玲.国际油价上涨对中美居民消费价格指数的影响.中国流通经济,2007,(9):50-52.
    [4]代娟,刘增明,楠玉.国际原油价格与中国经济增长互动效应.统计与决策,2012,(23):18-21.
    [5]单宝.石油定价机制存在的问题及对策.宏观经济管理,2006,(7):15-28.
    [6]范雪红,张意翔.基于计量经济模型的能源消费与经济增长关系实证研究.理论月刊,2005,(12):78-81.
    [7]付云鹏,马树才,王利香.国际原油价格波动对中国经济的冲击效应研究.经济与管理评论,2012,(3):47-53.
    [8]高铁梅等著.《计量经济分析方法与建模-EViews应用及实例》.北京:清华大学出版社,2006.
    [9]高振宇,王益.我国生产用能源消费变动的分解分析.统计研究,2007,(3):52-57.
    [10]郭晔.能源、技术与经济增长—基于中国与印度的比较研究.数量经济技术经济研究,2007,(6):35-42.
    [11]哈尔·瓦里安.《微观经济学(高级教程)》.北京:经济科学出版社,1997.
    [12]韩亮亮,周德群,李宏伟.石油价格波动与中国宏观经济运行关系的协整检验.价格理论与实践,2007,(8):57-58.
    [13]韩民春,樊琦.国际油价价格波动与我国工业制成品出口的相关关系研究.数量经济技术经济,2007,(2):64-72.
    [14]韩智勇,魏一鸣.中国能源消费与经济增长的协整性与因果关系分析.系统工程,2004,(12):17-21.
    [15]何辉.影响我国石油市场供需的影响因素.中国能源,2003,(5):22-25.
    [16]何晓群,魏涛远.世界石油价格上涨对我国经济的影响.经济理论与经济管理,2002,(4):11-15.
    [17]何亚男,汪寿阳.世界经济与国际原油价格:基于Kilian经济指数的协整分析.系统工程理论与实践,2011,(2):221-228.
    [18]侯建朝,谭忠富,施泉生.国内外原油价格波动对我国宏观经济运行影响的实证检验.统计与决策,2011,(5):45-48.
    [19]黄赜琳.国际石油价格波动对我国经济的影响及对策.经济纵横,2006,(3):5-8.
    [20]金秀,姚瑾.用修正重标极差法对上证指数长期记忆性的研究.数量统计与管理,2006,(5):610-615.
    [21]李红权,马超群.股市收益率与波动性长期记忆性效应的实证研究.财经研究,2005,(8):29-27.
    [22]李洪凯,张佳菲,罗幼强.石油价格波动对我国物价水平的影响.统计与决策,2006,(3):21-25.
    [23]李少民,吴韧强.我国石油定价机制探讨.价格月刊,2007,(1):22-25.
    [24]李晓男.国际原油价格波动对中国经济的影响及对策分析.中国证券期货,2011,(12):110-111.
    [25]李新颜,王嘉,高丽亚.国内原油价格与国际原油价格的相互关系.统计与决策,2005,(10):25-28.
    [26]李治国,郭景刚.国际原油价格波动对我国宏观经济的传导与影响——基于SVAR模型的实证分析.经济经纬,2013,(7):54-59.
    [27]李治国,肖乾.国际原油价格与我国经济增长关系实证研究——基于2006-2009年的数据分析.价格理论与实践,2010,(4):61-62.
    [28]李卓,李林强.国际原油价格波动对中国宏观经济影响的重新考察.经济评论,2011,(5):77-87.
    [29]林伯强.《能源经济学理论与政策实践》.中国财政金融出版社,2008.
    [30]林伯强.《现代能源经济学》.中国财政金融出版社,2007.
    [31]林伯强.电力短缺、短期措施与长期战略.经济研究,2004,(3):28-36.
    [32]林伯强.电力消费与中国经济增长:基于生产函数的研究.管理世界,2003,(11):18-27.
    [33]林伯强.中国电力发展:提高电价和限电的经济影响.经济研究,2006,(5):22-32.
    [34]林鑫,安毅,王小宁.国际原油价格变动对我国宏观经济的影响——基于行业层面可计算一般均衡模型的研究.价格理论与实践,2010,(8):32-33.
    [35]刘强.石油价格变化对中国经济影响的模型研究.数量经济技术经济研究,2005,(3):16-27.
    [36]刘世锦.关于我国经济增长模式转型的若干问题.管理世界,2006,(2):25-36.
    [37]刘希宋.《石油价格研究》.经济科学出版社,2006.
    [38]罗登跃,王玉华.上海股市收益率和波动性长期记忆性特征实证研究.金融研究,2005,(11):109-116.
    [39]马晓栋.国际原油价格波动对能源地区经济的影响——以宁夏自治区为例.金融发展评论,2012,(5):125-131.
    [40]曼昆.《经济学原理》.北京大学出版社,1999.
    [41]倪铮,凌子未.中国石油需求量的协整计量分析.南开经济研究,2005,(6):3-7.
    [42]牛菊芳.国际原油价格波动对我国经济的影响与应对措施.西部论坛,2011,(11):15-19.
    [43]彭水军,包群.中国经济增长与环境污染.中国工业经济,2006,(5):15-23.
    [44]彭志龙,吴优等.能源消费与GDP增长关系研究.统计研究,2007,(7):6-10.
    [45]齐绍洲,罗威.中国地区经济增长与能源消费强度差异分析.经济研究,2007,(7):74-81.
    [46]齐志新,陈文颖,吴宗鑫.工业轻重结构变化对能源消费的影响.中国工业经济,2007,(2):25-35.
    [47]齐中英,梁琳琳.我国石油定价制度的路径选择.价格月刊,2007,(4):17-18.
    [48]任泽平,潘文卿,刘起运.原油价格波动对中国物价的影响—基于投入产出价格模型.统计研究,2007,(11):22-28.
    [49]盛婉瑜.原油价格变动对经济增长和通货膨胀的影响——基于美国1980~2008年季度数据的时间序列分析.中国外资,2012,(4):52-53.
    [50]石晓烽,王述英.中国石油消费与经济增长的实证研究:1960-2005.学术研究,2007,(6):46-50.
    [51]史丹.产业结构变动对能源消费的影响.经济理论与经济管理,2003,(8):30-32.
    [52]史丹.经济增长过程中能源利用效率的改进.经济研究,2002,(9):49-56.
    [53]宋金奇,舒晓惠.PPI与CPI的关系-基于误差修正模型的研究.价格理论与实践,2008,(10):18-20.
    [54]孙稳存.能源冲击对中国宏观经济的影响.经济理论与经济管理,2007,(2):31-36.
    [55]谭赤,刘潭秋.人民币实际汇率中的马尔科夫转换行为.统计研究,2003,(9):28-36.
    [56]唐衍伟,黄运城,杨婕.中国石油进口参与国际定价的现状、趋势及策略分析.资源科学,2007,(1):184-189.
    [57]涂正革.环境、资源与工业发展的协调性.经济研究,2008,(2):32-42.
    [58]汪寿阳,余乐安,房勇等.《国际油价波动分析与预测》.湖南大学出版社,2008.
    [59]王春峰,张庆翠,李刚.中国原油市场收益的长期记忆性研究.系统工程,2003,(l):22-28.
    [60]王春峰,张庆翠.中国股市长期记忆效应的实证研究.系统工程,2004,(l):78-83.
    [61]王风云.国际油价波动对我国通货膨胀影响的实证分析.价格月刊,2007,(7):16-17.
    [62]王桂荣,赵桂玉.我国经济发展对油价波动的敏感性测度.价格理论与实践,2006,(2):24-25.
    [63]魏彩云.石油供求关系回顾与展望.中国能源,2006,(1):35-37.
    [64]魏世林.国际原油价格波动对我国宏观经济影响的实证分析.特区经济,2011,(10):29-31.
    [65]魏巍贤,林伯强.国内外石油价格波动性及其相互关系.经济研究,2007,(12):12-24.
    [66]魏一鸣,范英,韩智勇,吴刚.《中国能源报2006:战略与政策研究》.科学出版社,2006.
    [67]翁非.石油价格冲击与中国经济增长:基于三变量VAR模型的研究.统计与决策,2006,(11):84-86.
    [68]吴丽丽,孙天琦.原油价格变动对中国与西方发达国家经济增长影响的比较研究.未来与发展,2012,(3):34-39.
    [69]吴丽丽,肖兴志.原油价格对中国经济增长影响研究——基于西方七国的媒介作用分析.未来与发展,2013,(4):50-55.
    [70]吴巧生,陈亮等.中国石油消费与GDP关系的再检验.数量经济技术经济研究,2008,(6):32-40.
    [71]吴巧生,成金华,王华.中国工业化进程中的能源消费变动—基于计量模型的实证分析.中国工业经济,2005,(4):30-37.
    [72]肖明智,谢锐.国际原油价格上涨对中国经济影响的一般均衡研究.世界经济与政治论坛,2012,(1):38-52.
    [73]杨冠琼.经济增长与能源消费:来自山东的经验证据.经济管理,2006,(22):26-32.
    [74]杨柳,李力.能源价格变动对经济增长与通货膨胀的影响—基于我国1996~2005年间的数据分析.中南财经政法大学学报,2006,(4):51-55.
    [75]于渤,迟春洁,苏国福.石油价格对国民经济影响测度模型.数量经济技术经济研究,2002,(5):74-76.
    [76]于峰,齐建国.开放经济条件下环境污染的分解分析.统计研究,2007,(1):32-42.
    [77]詹姆·D·汉密尔顿.《时间序列分析》,刘明志译.北京:中国社会科学出版社,1999.
    [78]张彬.左晖.能源持续利用、环境治理与内生经济增长.中国人口.资源与环境,2007,(5):28-33.
    [79]张高明.推进成品油价格形成机制改革的几点思考.价格理论与实践,2007,(8):15-17.
    [80]张华、周淑慧.新世纪我国石油的消费和经济发展.经营管理,2002,(12):10-13.
    [81]张俊.试论原油价格波动对我国经济的影响及对策.经营管理者,2011,(8):176-177.
    [82]张卫国,胡彦梅,陈建忠.中国股市收益及波动的ARFIMA-FIGARCH模型研究.南方经济,2006,(3):32-44.
    [83]张骁峒著.《EViews应用及实例》.清华大学出版社,2006.
    [84]张晓琳,马爽.经济转折时期原油价格与黄金价格、美元汇率的联动关系.当代经济,2010,(7):10-11.
    [85]张跃军,范英,魏一鸣.基于GED—GARCH模型的中国原油价格波动特征研究.数理统计与管理,2007,(3):398-406.
    [86]张政伟,吕子安.能源与中国经济增长.工业技术经济,2006,(1):4-8.
    [87]赵进文,范继涛.经济增长与能源消费内在依从关系的实证研究.经济研究,2007,(8):31-42.
    [88]赵丽霞,魏巍贤.能源与经济增长模型研究.预测,1998,(6):15-18.
    [89]赵留彦,王一鸣.中国通胀水平与通胀不确定行:马尔可夫域变分析.经济研究,2005,(8):32-44.
    [90]赵笑宇.石油价格变动对价格总水平的影响分析.中央财经大学学报,2006,(2):92-96.
    [91]郑新立.未来15年中国能源供求态势与对策.经济前沿,2006,(16):9-11.
    [92]中国经济增长与宏观稳定课题组.外部冲击与中国的通货膨胀.经济研究,2008,(5):4-18.
    [93]钟晓青,吴浩梅.广州市能源消费与GDP及能源结构关系的实证研究.中国人口、资源与环境,2007年,(1):135-138.
    [94]周凤起.中国石油供需展望及对策建议.国际石油经济,2001,(5):5-8.
    [95]祝金荣,朱东华.浅析石油期货价格的形成机制.商业时代,2006,(4):19-20.
    [1] Adjaye, A.J. The relationship between energy consumption,energy prices andeconomic growth: time series evidence from Asian developing countries. EnergyEconomics,2000,22:615–625.
    [2] Akarca, A.T., Long, T.V. On the relationship between energy and GNP: areexamination. Journal of Energy and Development,1985:326–331.
    [3] Akinlo, A.E. Energy consumption and economic growth: evidence from11African countries. Energy Economics,2008,30:2391–2400.
    [4] Alessandro Cologni, Matteo Manera. Oil prices, inflation and interest ratesin a structural cointegrated VAR model for the G-7countries. Energy Economics,2008,30:856–888.
    [5] Al-Iriani, M.A. Energy–GDP relationship revisited: an example from GCCcountries using panel causality. Energy Policy,2006,34(17):3342–3350.
    [6] Altinay, G., Karagol, E. Structural break, unit root, and the causalitybetween energy consumption and GDP in Turkey. Energy Economics,2004,26:985–994.
    [7] Asafu-Adjaye, J. The relationship between energy consumption, energyprices and economic growth: time series evidence from Asian developing countries.Energy Economics,2000,22:615–625.
    [8] Asafu-Adjaye. J. Asafu-Adjaye. The relationship between electricityconsumption, electricity prices and economic growth: time series evidence fromAsian developing countries. Energy Economics,2000,22:615–625.
    [9] Baillie, R.T., Bollerslev, T., Mikkelson, H.O. Fractionally integratedgeneralized autoregressive conditional heteroskedasticity. Journal ofEconometrics,1996,74:3-30.
    [10] Baillie, R.T., Han, Y. W., Kwon, T.G. Further long memory properties ofinflationary shocks. Southern Economic Journal,2002,68:496-510.
    [11] Balaguer L, Cantavella-Jorda M. Tourism as a long-run economic growthfactor: The Spanish case [J]. Applied Economics,2002,34(7):877-884.
    [12] Banerjee, A. Panel data unit roots and cointegration: an overview. OxfordBulletin of Economics and Statistics S1,1999,61:607–629.
    [13] Barkoulas, J.T., Baum, C.F., Travlos, N. Long Memory in the Greek StockMarket. Applied Financial Economics,2000,10:177-184.
    [14] Beenstock, M., Willcocks, P. Energy consumption and economic activity inindustrialized countries: the dynamic aggregate time series relationship. EnergyEconomics,1981,3(4):225–232.
    [15] Bernanke, B.S., Gertler, M., Watson, M. Systematic monetary policy and theeffects of oil price shocks[J], Brookings Papers on Economic Activity,1997:91–157.
    [16] Bollerslev, T. Generalized Autoregressive Conditional Heteroscedasticity.Journal of Econometrics,1986,31:307-327.
    [17] Bollerslev, T. A Conditionally Heteroskedastic Time Series Model forSpeculative Prices and Rates of Return. Review of Economics and Statistics,1987,69:542-47.
    [18] Brown, S. P. A. and M. K. Yücel. Oil prices and U.S. aggregate economicactivity: Federal Reserve Bank of Dallas.[J]. Economic Review,1999:16–53.
    [19] Carrion-i-Silvestre, J.L. Health care expenditure and GDP: are they brokenstationary? Journal of Health Economics,2005,24:839–854.
    [20] Carrion-i-Silvestre, J.L., Del Barrio-Castro, T., Lopez-Bazo, E. Breakingthe panels: an application to GDP per capita. Econometrics Journal,2005,8:159–175.
    [21] Chang T, Fang W, Wen LF. Energy consumption, employment, output, andtemporal causality: evidence from Taiwan based on cointegration anderror-correction modeling techniques. Appl Econ,2001,33:1045–56.
    [22] Chen C F, Chio-Wei S Z. Tourism expansion, tourism uncertainty and economicgrowth: New evidence from Taiwan and Korea [J]. Tourism Management,2009,30:812-818.
    [23] Chen, S.T., Kuo, H.I., Chen, C.C. The relationship between GDP andelectricity consumption in10Asian countries. Energy Policy,2007,35:2611–2621.
    [24] Cheng and Lai. B.S. Cheng and T.W. Lai. An investigation of co-integrationand causality between electricity consumption and economic activity in taiwan.Energy Economics,1997,19:435–444.
    [25] Chien-Chiang Lee, Chun-Ping Chang. Energy consumption and GDP revisited:A panel analysis of developed and developing countries. Energy Economics,2007,29:1206–1223.
    [26] Chien-Chiang Lee, Chun-Ping Chang. Energy consumption and economic growthin Asian economies: A more comprehensive analysis using panel data. Resource andEnergy Economics,2008,30:50–65.
    [27] Chien-Chiang Lee, Chun-Ping Chang. The impact of energy consumption oneconomic growth: Evidence from linear and nonlinear models in Taiwan. Energy,2007,32:2282–2294.
    [28] Chien-Chiang Lee.The causality relationship between energy consumption andGDP in G-11countries revisited. Energy Policy,2006,34:1086-1093.
    [29] Chontanawat, J., Hunt, L.C., Pierse, R. Does energy consumption causeeconomic growth? Evidence from a systematic study of over100countries. Journalof Policy Modeling,2008,30:209-220.
    [30] Dotsey, M., Reid, M. Oil shocks, monetary policy, and economic activity.Economic Review of the Federal Reserve Bank of Richmond,1992,78(4):14–27.
    [31] Enders, W., Dibooglu, D. Long-run purchasing power parity with asymmetricadjustment[J]. Southern Economic Journal,2001,68(2):433–445.
    [32] Engle, R. Autoregssive conditional Heterskedasticity with Estimate of TheVariance of United Kingdom Inflation. Econometrica,1982,50:1987-1007.
    [33] Engle, R.F., Bollerslev, T. Modeling the persistence of conditionalvariances. Econometric Reviews,1986,5:1-50.
    [34] Engle, R.F., Granger, C.W.J. Co-integration and error correction:representation, estimation, and testing. Econometrica,1987,55:251–276.
    [35] Erol and Yu. U. Erol and E.S.H. Yu. On the relationship between electricityand income for industrialized countries. Journal of Electricity and Employment,1987,13:113–122.
    [36] Ferderer, J.P. Oil price volatility and the macroeconomy: a solution tothe asymmetry puzzle [J]. Journal of Macroeconomics,1996,18:1–16.
    [37] Ferguson, R., Wilkinson, W., Hill, R. Electricity use and economicdevelopment. Energy Policy,2000,28:923–934.
    [38] Friedman, M. and Schwartz, A. J. A Monetary History of the United States,1867-1960. Princeton University Press,1963.
    [39] Galindo, L.M. Short-and long-run demand for energy in Mexico: acointegration approach. Energy Policy,2005,33:1179–1185.
    [40] Galli, R. The relationship between energy intensity and income levels:forecasting long term energy demand in Asian emerging countries. The energy Journal,1998,19(4):85-105.
    [41] Galsure, Y.U. Energy and national income in Korea: further evidence on therole of omitted variables. Energy Economics,2002,24:355–365.
    [42] Garbaccio, R., Ho, M., Jorgenson, D. Why has the energy-output ratio fallenin China? Energy Journal,2003,(3):63-91.
    [43] Ghali, K.H., El-Sakka, M.I.T. Energy use and output growth in Canada: amultivariate cointegration analysis. Energy Economics,2004,26(2):225–238.
    [44] Ghosh. S. Ghosh. Electricity consumption and economic growth in India.Energy Policy,2002,30:125–129.
    [45] Gisser, M., Goodwin, T.H. Crude oil and the macroeconomy: tests of somepopular notions[J]. Journal of Money, Credit and Banking,1986,18:95–103.
    [46] Glasure, Y.U., Lee, A.R. Cointegration, error-correction, and therelationship between GDP and electricity: the case of South Korea and Singapore.Resource and Energy Economics,1997,20:17–25.
    [47] Glosten, L., Jagannathan, R., and Runkle, D. On the relations between theexpected value and the volatility on the nominal excess returns on stocks. Journalof Finance,1993,48:1779-1801.
    [48] Goetzmann, W.N. Patterns in Three Centuries of Stock Market Prices. Journalof Business,1993,66:249-270.
    [49] Granger, C.W.J., Joyeux, R. An introduction to long-memory time seriesmodels and fractional differencing. Journa1of Time Series Analysis,1980,1:15-29.
    [50] Gunduz L, Hatemi-J A. Is the tourism-led growth hypothesis valid for Turkey[J]. Applied Economics Letters,2005,(12):499-504.
    [51] Hadri, K. Testing for stationarity in heterogeneous panel data. EconometricJournal,2000,3:148–161.
    [52] Hamilton J D. A new approach to the economic analysis of nonstationarytime series and the business cycle [J]. Econometrica,1989,57(2):357-384.
    [53] Hamilton, J. D. What is an oil shock? Journal of Econometrics,2003,113:363-398.
    [54] Hamilton, J. D. Time Series Analysis. Princenton University Press,1994.
    [55] Hamilton, J.D. Oil and the macroeconomy since World War II. Journal ofPolitical Economy,1983,91:228–248.
    [56] Hamilton, J.D. This is what happened to the oil price macroeconomyrelationship. Journal of Monetary Economics,1996,38:215–220.
    [57] Hamilton, J.D., Herrera, A.M. Oil shocks and aggregate macroeconomicbehavior: the role of monetary policy. Journal of Money, Credit and Banking,2004,36:265–286.
    [58] Han, Z.Y., Wei, Y.M., Jiao, J.L., Fan, Y., Zhang, J.T. On the cointegrationand causality between Chinese GDP and energy consumption. System Engineering,2004,22:17–21.
    [59] He, W.Y. Forecasts for China’s crude oil supply and demand in the coming20years and counter-measures. China Energy,2003,25(8):24–27.
    [60] Hosking, J.R.M. Fractional differencing. Biometrika,1981,68:165-176.
    [61] Huang, B.N., Hwang, M.J., Yang, C.W. Causal relationship between energyconsumption and GDP growth revisited: a dynamic panel data approach. EcologicalEconomics,2008,67:41–54.
    [62] Hunt, Lester C., Ninomiya, Yasushi. Primary energy demand in Japan: anempirical analysis of long-term trends and future CO2emissions. Energy Policy,2005,33:1409–1424.
    [63] Hwang and Gum. D.B.K. Hwang and B. Gum. The causal relationship betweenenergy and GNP: the case of Taiwan. The Journal of Energy and Development,1992,12:219–226.
    [64] James D. Hamilton. What is an oil shock? Journal of Econometrics,2003,113:363-398.
    [65] Jiménez-Rodríguez. The impact of oil price shocks: Evidence from theindustries of six OECD countries. Energy Economics,2008,(30):3095–3108.
    [66] Joyeux, R., Ripple, R.D. Household energy consumption versus income andrelative standard of living: a panel approach. Energy Policy,2007,35(1):50–60.
    [67] Keiko Yamaguchi. Estimating energy elasticity with structural changes inJapan. Energy Economics,2007,29:1254–1259.
    [68] Kim H J, Chen M H, Jang S C. Tourism expansion and economic development:The case of Taiwan [J]. Tourism Management,2006,27:925-933.
    [69] Kim, C., and Nelson, C., Stata-Space. Models with Regime Switching. MITPress,1999.
    [70] Kraft, J., Kraft, A. On the relationship between energy and GNP. Journalof Energy and Development,1978,3:401–403.
    [71] Krolzig, H. M. Markov-Switching Vector Autoregressions: Modelling,Statistical Inference and Application to Business Cycle Analysis. Springer,1997.
    [72] Lahhiri, K. and Moore, G. H. Leading Economic Indicators: New Approachesand Forecasting Records. Cambridge University Press,1991.
    [73] Leamer, E., and Potter, S. A Nonlinear Model of the Business Cycle [M].Manuscript, Federal Reserve Bank of New York,2003.
    [74] Lee CC, Chang CP. Structural breaks, energy consumption, and economicgrowth revisited: evidence from Taiwan. Energy Econ,2005,27(6):857–72.
    [75] Lee, C.C., Chang, C.P. The impact of energy consumption on economic growth:evidence from linear and nonlinear models in Taiwan. Energy, forthcoming,2007.
    [76] Lee, C.C., Chang, C.P. Energy consumption and economic growth in Asianeconomies: a more comprehensive analysis using panel data. Resource and EnergyEconomics,2008,30:50–65.
    [77] Lee, C.C., Chang, C.P., Chen, P.F. Energy-income causality in OECDcountries revisited: the key role of capital stock. Energy Economics,2008,30:2359–2373.
    [78] Lee, J., Strazicich, M.C. Minimum LM unit root test with two structuralbreaks. Review of Economics and Statistics,2003,85:1082–1089.
    [79] Lee, K., Ni, S., Ratti, R.A. Oil shocks and the macroeconomy: the role ofprice variability. Energy Journal,1996,16(4):39–56.
    [80] Lo, A.W. Long-Term Memory in Stock Market Prices. Econometrica,1991,59:1279-1313.
    [81] Mahadevan, R., Asafu-Adjaye, J. Energy consumption, economic growth andprices: a reassessment using panel VECM for developed and developing countries.Energy Policy,2007,35:2481–2490.
    [82] Mandelbrot, B. When can Price Be Arbitraged Efficiently? A Limit to theValidity of the Random Walk and Martingale Models. Review of Economics andStatistics,1971,53:225-236.
    [83] Masih, A.M., Masih, R. Electricity consumption, real income and temporalcausality: results from a multi-country study based on cointegration and errorcorrection modeling techniques. EnergyEconomics,1996,18:165–183.
    [84] Masih, A.M.M., Masih, R. Energy consumption, real income and temporalcausality: results from a multi-country study based on cointegration anderror-correction modeling techniques. Energy Economics,1996,18:165–183.
    [85] Masih, A.M.M., Masih, R. On the temporal causal relationship between energyconsumption, real income, and prices: some new evidence from Asian-energy dependentNICs based on a multivariate cointegration/vector errorcorrection approach.Journal of Policy Modeling,1997,19:417–440.
    [86] Masih, A.M.M., Masih, R. A multivariate cointegrated modeling approach intesting temporal causality between energy consumption, real income and prices withan application to two Asian LDCs. Applied Economics,1998,30:1287–1298.
    [87] Minsky, H. Stabilizing an Unstable Economy. New Haven, Yale UniversityPress,1986.
    [88] Mork, K.A. Business cycles and the oil market[J]. The Energy Journal,1994,15:15–38.
    [89] Mork, K.A., Olson, O., Mysen, H.T. Macroeconomic responses to oil priceincreases and decreases in seven OECD countries. Energy Journal,1994,15:19–35.
    [90] Mory, J.F. Oil prices and economic activity: is the relationship symmetric?[J]. The Energy Journal,1993,14:151–161.
    [91] Mozumder, P., Marathe, A. Causality relationship between electricityconsumption and GDP in Bangladesh. Energy Policy2007,35:395–402.
    [92] Nachane, D.M., Nadkarni, R.M., Karnik, A.V. Cointegration and causalitytesting of the energy–GDP relationship: a cross-country study. Applied Economics,1988,20:1511–1531.
    [93] Narayan, P.K. The saving and investment nexus for China: evidence fromcointegration tests. Applied Economics,2005,37:1979–1990.
    [94] Narayan, P.K., Smyth, R. Are shocks to energy consumption permanent ortemporary? Evidence from182countries. Energy Policy,2007,35:333–341.
    [95] Narayan, Paresh Kumar, Smyth, Russell. The residential demand forelectricity in Australia: an application of the bounds testing approach tocointegration. Energy policy,2005,33:467-474.
    [96] Neftci, S. Are economic time series asymmetric over the business cycle?[J]. Journal of Political Economy,1984,92:307-328.
    [97] Nicholas Apergis,James E. Payne. Energy consumption and economic growthin Central America: Evidence from a panel cointegration and error correction model.Energy Economics,2009,31:211–216.
    [98] Ogulata, R.T. Sectoral energy consumption in Turkey. Renewable andSustainable Energy Reviews,2002,6:471–480.
    [99] Oh C O. The contribution of tourism development to economic growth in theKorean economy [J]. Tourism Management,2005,26:39-44.
    [100]Paul Crompton,Yanrui Wu. Energy consumption in China: past trends andfuture directions. Energy Economics,2005,27:195-208.
    [101]Pedroni, P. Critical values for cointegration tests in heterogeneouspanels with multiple regressors. Oxford Bulletin of Economics and Statistics,1999,61:653–670.
    [102]Pedroni, P. Fully modified OLS for heterogeneous cointegrated panels.Advanced in Econometrics,2000,15:93-130.
    [103]Pedroni, P. Panel cointegration: asymptotic and finite sample propertiesofpooled time series tests with an application to the PPP hypothesis: new results.Econometric Theory,2004,20:597–627.
    [104]Pei-Fen Chen, Chien-Chiang Lee. Is energy consumption per capita brokenstationary? New evidence from regional-based panels. Energy Policy,2007,35:3526–3540.
    [105]Perron, P. The great crash, the oil price shock and the unit root hypothesis.Econometrica,1989,57:1361–1401.
    [106]Persson, T. and Tabellini, G. Macroeconomic Policy, Credibility andPolitics. Harwood Academic Publishers, Chur, Switzerland,1990.
    [107]Peters, E. Fractal Market Analysis: Applying Chaos Theory to Investmentand Economics. John Wiley and Sons, Inc,1994.
    [108]Po W C, Huang B N. Tourism development and economic growth: A nonlinearapproach [J]. Physica A,2008,387:5535-5542.
    [109]Rebeca Jiménez-Rodríguez. The impact of oil price shocks: Evidence fromthe industries of six OECD countries. Energy Economics,2008,30:3095–3108.
    [110]Rence, G., and Pieerre, P. An Analysis of the Real Interest Rate underRegime Shifts[J]. The Review of Economics and Statistics,1996,(78).
    [111]Rong-Gang Cong, Yi-Ming Wei, Jian-Lin Jiao, Ying Fan. Relationshipsbetween oil price shocks and stock market: An empirical analysis from China. EnergyPolicy,2008,36:3544-3553.
    [112]Sadorsky, P. Oil price shocks and stock market activity. Energy Economics,1999,21(5):449–469.
    [113]Sandrine Lardic, Valerie Mignon. Oil price and economic activity: Anasymmetric cointegration approach[J]. Energy Economics,2008,30:847–855.
    [114]Sari, R., Soytas, U. Disaggregate energy consumption, employment, andincome in Turkey. Energy Economics,2004,26:335–344.
    [115]Scha¨ fer, A. Structural change in energy use. Energy Policy,2005,33:429–437.
    [116]Shiu, A., Lam, P.L. Electricity consumption and economic growth in China.Energy Policy,2004,32:47–54.
    [117]Shiu-Sheng Chen. Oil price pass-through into inflation. Energy Economics,2009,31:126–133.
    [118]Sibbertsen, P. Long memory in the volatilities of German stock returns.Empirical Economics,2004,3:477-488.
    [119]Sims, C. A. New Methods in Business Cycle Research: Proceeding from aConference. Minneapolis,1977.
    [120]Sinton,J., Fridly, D. What goes up: recent trends in china’s energyconsumption. Energy Policy,2000,28:671-687.
    [121]Skalin J, Terasvirta T. Another look at Swedish business cycle,1861-1988[J]. Journal of Applied Econometrics,1999,(14):359-378.
    [122]So, M. Long-term memory in stock market volatility. Applied FinancialEconomics,2000,10:519-524.
    [123]Sourial, M. S. Long Memory Process in the Egyptian Stock Market. SSRNworking paper,2002.
    [124]Soytas, U., Sari, R. Energy consumption and GDP: causality relationshipin G-7countries and emerging markets. Energy Economics,2003,25:33–37.
    [125]Soytas, U., Sari, R. The relationship between energy and production:evidence from the Turkish manufacturing industry. Energy Economics, forthcoming,2006.
    [126]Soytas, U., Sari, R. Energy consumption, economic growth, and carbon emissions:challenges faced by an EU candidate member, Ecological Economics,2009,68:1667-1675.
    [127]Sprout, A.M. Energy and economic growth in Central America. Annual Reviewof Energy,1977,2:291–305.
    [128]Stern, D.I. Energy use and economic growth in the USA, a multivariateapproach. Energy Economics,1993,15:137–150.
    [129]Stern, D.I. A multivariate cointegration analysis of the role of energyin the US macroeconomy. Energy Economics,2000,22:267–283.
    [130]Stern, D.I., Cleveland, C.J. Energy and economic growth. RensselaerWorking Papers in Economics,2004,0410.
    [131]Sylvain Leduc, Keith Sill. A quantitative analysis of oil-price shocks,systematic monetary policy, and economic downturns. Journal of Monetary Economics,2004,51:781–808.
    [132]Taylor, S. Modeling Financial Time Series. John Wiley and Sons, Inc. NewYork,1986.
    [133]Teyssiere, G. Double Long-Memory Financial Time Series. Paper Presentedat the ESEM, Toulouse,1997.
    [134]Thoma, M. Electrical energy usage over the business cycle. Energy Economics,2004,26:463–485.
    [135]Tiao G C, Tsay R S. Some advances in nonlinear and adaptive modeling intime series [J]. Journal of Forecasting,1994,(13):109-131.
    [136]Tolvi, J. Long memory and outliers in stock market returns. AppliedFinancial Economics,2003,13:495-502.
    [137]Toman, T., Jemelkova, B. Energy and economic development: an assessmentof the state of knowledge. Energy Journal,2003,24:93–112.
    [138]Tong, H. Non-linear Time Series: A Dynamical System Approach. Oxford:Oxford University Press,1990.
    [139]Wei, W.X. Study on the determinants of energy demand in China. Journal ofSystems Engineering and Electronics,2002,13(3):17–23.
    [140]Yang, H.Y. A note on the causal relationship between energy and GDP inTaiwan. Energy Economics,2000,22:309–317.
    [141]Yang, H.Y. Coal consumption and economic growth in Taiwan, Energy Sources,2000,22(2):109–115.
    [142]Ying Fan,Yue-Jun Zhang,Hsien-Tang Tsai,Yi-Ming Wei. Estimating ‘Value atRisk’ of crude oil price and its spillover effect using the GED-GARCH approach.Energy Economics,2008,(30):3156-3171.
    [143]Yoo, S.H. The causal relationship between electricity consumption andeconomic growth in the ASEAN countries. Energy Policy,2006,34(18):3573–3582.
    [144]Yu and Choi E.S.H. Yu and J.Y. Choi. The causal relationship betweenelectricity and GNP: an international comparison. Journal of Energy and Development,1985,10:249–272.
    [145]Yu, E.S.H., Choi, J.Y. The causal relationship between energy and GNP: aninternational comparison. Journal of Energy and Development,1985,10:249–272.
    [146]Yu, E.S.H., Hwang, B.K. The relationship between energy and GNP: furtherresults. Energy Economics,2007,29:1151–1165.
    [147]Zachariadis, T., Pashourtidou, N. An empirical analysis of electricityconsumption in Cyprus. Energy Economics, forthcoming,2006.
    [148]Zakoian, J. M. Threshold heteroskedastic models, Journal of EconomicDynamics and Control,1994,18:931-955.
    [149]Zeynel, A. and Mahir, F. On the inflation-uncertainty hypothesis in Jordan,Philippines and Turkey: A long memory approach. International Review of Economicsand Finance,2008,17:1-12.
    [150]Zhu, K.F. Rethinking of oil proportion in China’s energy consumption andstructure in2020. Oil&Petrochemical Today,2003,11(6):15–17.
    [151]Zivot, E., Andrews, D. Further evidence on the Great Crash, the oil priceshock, and the unit root hypothesis. Journal of Business and Economic Statistics,1992,10:251–270.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700