用户名: 密码: 验证码:
国际天然气市场及中国液化天然气供应安全策略研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
天然气作为清洁的化石能源,对于保障国家能源供应安全及应对气候变化问题具有不可替代的战略意义。随着世界天然气贸易活动的日益活跃以及北美页岩气革命带来的新挑战,国际天然气市场特征正在变得更加复杂,面临许多新的不确定性,需要进一步深入的研究。同时,我国作为世界主要的天然气消费和进口大国,为了实现低碳经济转型,未来对天然气的需求和对进口的依赖也将越来越大,如何保障我国天然气供应安全也是亟待解决的问题。因此,在此大背景下,对国际天然气市场的价格波动特征、影响机理、贸易演化规律以及对我国天然气供应安全进行系统的深入分析,有利于进一步认识国际天然气市场复杂多变的市场特征,准确把握国际天然气市场规律和未来的发展趋势,为我国制定合理的天然气发展战略,保障我国天然气供应安全提供理论依据和决策支持。
     本文主要从世界三大区域市场天然气价格的波动特征、天然气价格的宏观影响因素、世界天然气贸易演化规律及中国液化天然气进口安全策略等四个方面,综合运用计量经济学、复杂网络、图论及运筹学等理论与方法,对国际天然气市场及中国液化天然气供应安全策略等展开深入的研究。本文的主要研究工作和结论如下:
     (1)结合集成经验模态分解和交叉相关性分析模型,从多时间尺度视角分析了世界三大区域市场天然气价格的波动特征以及不同频度下天然气价格波动的主要影响因素。
     研究结果表明,北美天然气价格受市场供需影响较大,影响幅度高达5美元甚至更高;同时受到飓风及页岩气革命等突发重大事件的影响也非常大,影响幅度超过2.5美元。而欧洲和日本天然气价格则主要由其价格的趋势项所决定。此外,国际原油价格高频及低频波动对北美天然气价格高频波动有一定的影响,但其趋势项对北美天然气价格的趋势项影响较有限;同时,北美地区天然气的库存量还不足以影响北美天然气市场的供需变化;然而日本与欧洲天然气进口价格主要受到国际原油价格趋势项的影响,且响应时间较短,一般分别为1-3个月及1-6个月。
     (2)综合运用面板协整及向量自回归模型,分析了世界经济活动与国际原油价格对世界三大区域市场天然气进口价格的影响,采用VAR、脉冲响应函数及方差分解方法分析了国际原油价格波动、上涨和下跌对世界三大区域市场天然气进口价格的冲击作用。
     研究结果表明,世界经济与国际原油价格对世界三大区域市场的天然气进口价格存在显著的长期的正向影响。世界经济活动对北美市场的影响相对较大,而亚洲和欧洲天然气进口价格则主要受国际油价的影响。主要是因为在北美天然气市场已经形成由市场供需来决定天然气价格的定价机制,而欧洲和亚洲天然气定价机制是基于国际原油价格的,特别是日本,其天然气价格完全参照国际原油价格。国际原油价格波动对三大区域市场天然气进口价格均存在负向的冲击作用,但各区域天然气价格响应程度有所差异。其中,油价波动对北美天然气进口价格冲击作用很弱;对欧洲天然气价格的冲击存在滞后效应;对亚洲天然气进口价格的负向影响最为显著,影响幅度大,持续时间较长。此外,三大区域市场天然气进口价格对油价上涨和下跌冲击呈现不对称响应机制,油价下跌的冲击作用相对更强一些。
     (3)构建了世界液化天然气与管道运输天然气贸易复杂网络,分析了世界天然气贸易格局的特征和动态演化规律;构建了国际天然气市场最小生成树模型,分析了国际天然气市场融合程度与天然气贸易之间的关系。
     研究结果表明,天然气贸易的区域分布和贸易形式具有很大的差异性,北美市场以管道运输天然气贸易为主,亚洲市场以LNG贸易为主,在欧洲市场两种贸易方式并重;LNG贸易网络与管道运输天然气贸易进出口网络均为无标度网络,网络中的国家存在异质性;LNG贸易网络相对管道运输天然气贸易网络联系更加紧密,LNG贸易呈现出口市场垄断程度加深及进口市场竞争更加激烈的态势;世界天然气市场仍然处于分离状态,还没有形成统一的市场,但是欧洲与亚洲市场的融合程度在加强。世界天然气市场结构演化与世界区域间LNG贸易的关系密切,世界天然气市场融合程度与区域间的LNG贸易量具有相互促进作用。
     (4)构建了液化天然气海运运输风险指数,在此基础上主要考虑液化天然气进口成本、液化天然气进口来源国国家政治风险以及液化天然气海运运输风险三个风险因素,构建了中国液化天然气进口安全多目标规划模型,对我国液化天然气供应安全进行了综合分析。
     研究结果表明,在不考虑极端事件情景时,与实际进口策略相比,最优进口策略中减少了天然气价格或者海运运输风险相对较高的埃及、赤道几内亚、尼日利亚、卡塔尔、阿联酋及也门等国的进口量,增加了从运输距离较近且价格较低的特立尼达和多巴哥、俄罗斯及马来西亚的进口量;在考虑当印度尼西亚发生极端突发事件或者当从印度尼西亚进口LNG时发生极端海运运输风险事件情景,中国LNG进口将转向国家政治风险较低的阿联酋。实证分析表明所构建的中国LNG进口安全多目标规划模型是有效的。
Natural gas, as a kind of clean fossil energy, has irreplaceable strategic significance to protect national energy supply security and tackle climate change. With the increasingly activity of global natural gas trade and the new challenges that the shale gas revolution in North America has brought, the international natural gas market is becoming more complex and facing many new uncertainties, so the further in-depth research is need. Meanwhile, in order to achieve the low carbon economy, as the world's leading natural gas consumer and importer, China's future demand for natural gas and dependency on natural gas imports will also be growing, so how to protect China's natural gas supply security has become a serious problem. Therefore, under this background, the in-depth and systemic analysis on the volatility characteristics of international natural gas prices, the mechanism of the impact on regional natural gas prices, the evolution of global natural gas trade and China's natural gas supply security is conducive to understanding the complex and volatile characteristics of international natural gas market better, accurately grasping the market laws and future trends of the international natural gas market, and providing the theoretical basis and decision support for developing reasonable strategies of natural gas development and protecting China's natural gas supply security.
     From four aspects:the volatility characteristics of natural gas prices for the world's three regional markets, macroeconomic factors on regional natural gas prices, the evolution of global natural gas trade pattern and the safety strategies of China's LNG import, this paper systematically used the theory and methods of econometrics, statistics, complex networks, graph theory, operational research and other disciplines, and proposed a series comprehensive models to study the international natural gas market and the strategies of China's LNG supply security thoroughly. The main research and conclusions are as follows:
     (1) Combined Ensemble Empirical Mode Decomposition with cross-correlation analysis models, the volatility characteristics of natural gas prices in the world's three regional markets and the main impact factors for natural gas price fluctuations at different frequencies are analyzed from the perspective of multiple time scales.
     The results show that the North American natural gas price was mainly influenced by the market supply and demand and the amount of fluctuation was as much as$5or higher; simultaneously it was affected by hurricanes, the shale gas revolution and other emergencies, the impact was also very large and the amount of fluctuation was more than$2.5. Natural gas prices in Europe and Japan were determined by the trends of natural gas prices, respectively. In addition, the high and low frequency fluctuations of the international crude oil prices have an impact on the high-frequency fluctuations of North American natural gas prices, but the impact that the trend term of international crude oil prices has on North American natural gas prices was limited; meanwhile, inventories of natural gas in North America was not enough to affect the changes of the supply and demand of North American natural gas markets; however, Japanese and European natural gas import prices were mainly affected by the trend term of international crude oil prices, the response time was shorter, and the time generally was1to3months and1to6months, respectively.
     (2) The panel cointegration model was used to analyze the impact of global economic activity and international crude oil prices on natural gas import prices in three major regional natural gas markets and further VAR, impulse response functions and variance decomposition analysis models were used to investigate the shock impacts of the volatility and the increase and decrease of crude oil prices on regional natural gas import prices.
     The results show that both global economic activity and international crude oil prices have significant long-term positive effects on natural gas import prices in the world's three regional gas markets. Global economic activity has a significant impact on the natural gas import prices in the North American market, while natural gas import prices in Asia and Europe were mainly affected by international crude oil prices. This is because natural gas prices have been mainly affected by the supply and demand of natural gas in North America, while natural gas prices in Asia and Europe are almost always based on the oil-index, and especially for Japan, its natural gas import prices are absolutely based on international crude oil prices. The volatility of international crude oil prices has a negative impact on regional natural gas import prices and the impact is different for each of the regions. The shock impact is weak in North America, lags in Europe and is most significant in Asia. In addition, the response of natural gas import prices to increases and decreases in international crude oil prices shows an asymmetrical mechanism, of which the decrease impact is relatively stronger.
     (3) The complex networks of the global liquefied natural gas and pipeline natural gas trade were constructed, repectively; the characteristics and the dynamic evolution of the global natural gas trade patterns were analyzed; the minimum spanning tree models of the international natural gas market were constructed to analyze the relationship between the international natural gas market structure and inter-regional LNG trade.
     The results show that the great differences exist in the regional distribution and the natural gas trade forms. The natural gas trade is mainly by pipeline in the North American market, the LNG trade in Asian markets, and both of two trade forms in the European market. Both the LNG trade network and pipeline gas trade network have the characteristics of scale-free networks. This shows that national heterogeneity exists in the natural gas trade networks and that the impact that each country has on the overall trade network and the position that each country has in the overall trade network are different. The tightness of the LNG trade network is relatively higher than that of the pipeline gas trade network. The level of monopoly in the LNG export and import market is increasing. The natural gas markets in North America, Europe and Asia are not integrated into a unified global natural gas market. However, the degree of integration between the European and Asian markets is high. The evolution of the international gas market structure and the inter-regional LNG trade is closely related, and the improvement of the integration degree in the international natural gas market and the increase of inter-regional LNG trade have mutually reinforcing effects.
     (4) The marine transportation risk index of liquefied natural gas was constructed, and on this basis, the multi-objective programming model on China's LNG imports was constructed to study China's LNG supply security comprehensively, which mainly considered the LNG import cost, the exporting countries'political risk as well as the marine transportation risk of LNG imports.
     The results show that in situations that extreme events were not considered, comparing with the actual import strategy, the optimal strategy reduced the import volume from Egypt, Equatorial Guinea, Nigeria, Qatar, the United Arab Emirates and Yemen whose natural gas prices or maritime transport risks were relatively higher and increased the import volume from Trinidad and Tobago, Russia and Malaysia whose maritime transport risks or natural gas prices were relatively lower; in situations that extreme events for Indonesia's maritime transport risk or national political risk, China's LNG import will shift from Indonesia to UAE whose maritime transport risk or national political risk were relatively lower. The empirical analysis shows that the multi-objective programming model of China's LNG supply security that this paper constructed was valid.
引文
Abada, I., Massol, O.,2011. Security of supply and retail competition in the European gas market: Some model-based insights[J]. Energy Policy,39:4077-4088.
    Aguilera, R.F., Inchauspe, J., Ripple, R.,2014. The Asia Pacific natural gas market:Large enough for all? [J]. Energy Policy,65:1-6.
    Aguilera, R.F.,2014. The role of natural gas in a low carbon Asia Pacific[J]. Applied Energy,113: 1795-1800.
    Alterman, S.,2012. Natural gas price volatility in the UK and North America. Oxford Institute for Energy Studies. Working paper.
    Arora, V., Lieskovsky, J.,2012. Natural gas and U.S. economic activity. Energy Information Administration. Working paper.
    Asche, F., Misund, B., Sikveland, M.,2013. The relationship between spot and contract gas prices in Europe[J]. Energy Economics,38:212-217.
    Asche, F., Osmundsen, P., Sandsmark, M.,2006. The UK market for natural gas, oil and electricity: Are prices decoupled? [J]. The Energy Journal,27(2):27-40.
    Ates, A., Huang, J.C.,2011. The evolving relationship between crude oil and natural gas prices: evidence from a dynamic cointegration analysis[J]. Pennsylvania Economic Review,1(18):1-9.
    Atil, A., Lahiani, A., Nguyen, D.K.,2014. Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices[J]. Energy Policy,65:567-573.
    Bai, J., Perron, P.,2003. Computation and analysis of multiple structural change models[J]. Journal of Applied Econometrics,18(1):1-22.
    Bakhtiari, A.M.S.,2002. The price of natural gas[J]. OPEC Review,25(4):357-368.
    Balestro, B., Nerlove, M.,1966. Pooling cross section and time series data in the estimation of a dynamic model:the demand for natural gas[J]. Econometrica,34(3):585-612.
    Beltramo, M.A., Manne, A.S., Weyant, J.P.,1986. A North American gas trade model (GTM) [J]. The Energy Journal,7(3):15-32.
    Biresselioglu, M.E., Demir, M.H., Kandemir, C.,2012. Modeling Turkey future LNG supply security strategy[J]. Energy Policy,46:144-152.
    Boots, M.G., Rijkers, F.A.M., Hobbs, B.F.,2004. Trading in the downstream European gas market: A successive oligopoly approach[J]. The Energy Journal,25(3):73-102.
    Box, GE.P., Jenkins, GM., Reinsel, G.C.,2011. Time series analysis:forecasting and control[M]. John Wiley & Sons.
    Breitung, J.,2000. The local power of some unit root tests for panel data[J]. Nonstationary panels, panel cointegration, and dynamic panels. Advances in Econometrics,15:161-178.
    British Petroleum Company (BP),2001. Statistical review of world energy. London.
    British Petroleum Company (BP),2002. Statistical review of world energy. London.
    British Petroleum Company (BP),2003. Statistical review of world energy. London.
    British Petroleum Company (BP),2004. Statistical review of world energy. London.
    British Petroleum Company (BP),2005. Statistical review of world energy. London.
    British Petroleum Company (BP),2006. Statistical review of world energy. London.
    British Petroleum Company (BP),2007. Statistical review of world energy. London.
    British Petroleum Company (BP),2008. Statistical review of world energy. London.
    British Petroleum Company (BP),2009. Statistical review of world energy. London.
    British Petroleum Company (BP),2010. Statistical review of world energy. London.
    British Petroleum Company (BP),2011. Statistical review of world energy. London.
    British Petroleum Company (BP),2012. Statistical review of world energy. London.
    British Petroleum Company (BP),2013. Statistical review of world energy. London.
    British Petroleum Company (BP),2012. Energy Outlook 2030. London.
    Brito, D.L., Hartley P.R.,2007. Expectations and the evolving world gas market[J]. The Energy Journal,28(1):1-24.
    Brown, S.P.A., Y(u|")cel, M.K.,2008. What drives natural gas prices?[J]. The Energy Journal,29: 43-58.
    Cabalu, H.,2010. Indicators of security of natural gas supply in Asia[J]. Energy Policy,38(1): 218-225.
    Carteaa, A., Williams, T.,2008. UK gas markets:The market price of risk and applications to multiple interruptible supply contracts[J]. Energy Economics,30(3):829-846.
    Chen, S.S., Hsu, K.W.,2012. Reverse globalization:Does high oil price volatility discourage international trade? [J]. Energy Economics,34:1634-1643.
    Chevallier, J., Sevi, B.,2012. On the volatility-volume relationship in energy futures markets using intraday data[J]. Energy Economics,34:1896-1909.
    Chiou-Wei, S., Linn, S.C., Zhu, Z.,2014.The response of U.S. natural gas futures and spot prices to storage change surprises:Fundamental information and the effect of escalating physical gas production[J]. Journal of International Money and Finance,42:156-173.
    Christian, G., Marcus, S., Rabindra, N.,2012. Price convergence and information efficiency in German natural gas markets. Working paper.
    Cong, R.G., Wei, Y.M., Jiao, J.L., Fan, Y.,2008. Relationships between oil price shocks and stock market:An empirical analysis from China[J]. Energy Policy,36:3544-3553.
    Cuddington, J.T., Wang, Z.M.,2006. Assessing the degree of spot market integration for U.S. natural gas:evidence from daily price data[J]. Journal of Regulatory Economics,29:195-210.
    Cummings, D.A.T., Irizarry, R.A., Huang, N.E., Endy, T. P., Nisalak, A., Ungchusak, K., Burke, D. S.,2004. Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand[J]. Nature,427(6972):344-347.
    Das, A., McFarlane, A.A., Chowdhury, M.,2013. The dynamics of natural gas consumption and GDP in Bangladesh[J]. Renewable and Sustainable Energy Reviews,22:269-274.
    Doane, M.J., Spulber, D.F.,1994. Open access and the evolution of the U. S. spot market for natural gas[J]. Journal of Law and Economics,37(2):477-517.
    Egging, R., Gabriel S.A., Holz F., Zhuang, J.,2008. A complementarity model for the European natural gas market[J]. Energy Policy,36(7):2385-2414.
    Egging, R., Holz, F., Gabriel, S.A.,2010. The World Gas Model:A multi-period mixed complementarity model for the global natural gas market[J]. Energy,35:4016-4029.
    Erd6s, P.,2012. Have oil and gas prices got separated?[J]. Energy Policy,49:707-718.
    Erd6s, P., Ormos, M.,2012. Natural Gas Prices on Three Continents[J]. Energies,5:4040-4056.
    Fan, Y., Zhu, L.,2010. A real options based model and its application to China's overseas oil investment decisions[J]. Energy Economics,32(3):627-637.
    Fan, Y., Xu, J.H.,2011. What has driven oil prices since 2000? A structural change perspective[J]. Energy Economics,33 (6):1082-1094.
    Farhani, S., Shahbaz, M., Arouri, M., Teulon, F.,2014. The role of natural gas consumption and trade in Tunisia's output[J]. Energy Policy,66:677-684.
    Fisher, R.A.,1932. Statistical methods for research workers[M].4th Edition, Edinburgh:Oilver & Boyd.
    Foss, M.M.,2007. United States natural gas prices to 2015. Oxford Institute for Energy Studies. Working paper.
    Freeman, L.C.,1979. Centrality in social networks:conceptual clarification[J]. Social networks,1 (3):215-239.
    Gabriel, S.A., Zhuang, J.F., Kiet, S.,2005. A large-scale linear complementarity model of the North American natural gas market[J]. Energy Economics,27(4):639-665.
    Gebre-Mariam, Y.K.,2011. Testing for unit roots, causality, cointegration, and efficiency:The case of the northwest US natural gas market[J]. Energy,36:3489-3500.
    Ge, F.L., Fan, Y.,2013. Quantifying the Risk to Crude Oil Imports in China:An Improved Portfolio Approach[J]. Energy Economics,40(11):72-80.
    Geng, J.B., Ji, Q.,2014. Multi-perspective analysis of China's energy supply security[J]. Energy, 64:541-550.
    Golombek, R., Gjelsvik, E., Rosendahl, K.E.,1995. Effects of liberalizing the natural gas markets in western Europe[J]. The Energy Journal,16(1):85-112.
    Golombek, R., Gjelsvik, E., Rosendahl, K.E.,1998. Increased competition on the supply side of the western European natural gas market[J]. The Energy Journal,19(3):1-18.
    Gower, J.,1966. Some distance properties of latent root and vector methods used in multivariate analysis[J]. Biometrika,53(3/4):325-338.
    Grais, W., Zheng, K.,1996. Strategic interdependence in European east-west gas trade:A hierarchical stackelberg game approach[J]. The Energy Journal,17(3):61-84.
    Hamilton, J.D., Herrera, A.M.,2004. Oil shocks and aggregate macroeconomic behavior:the role of monetary policy[J]. Journal of Money, Credit, and Banking,36 (2):265-286.
    Hartley, P., Medlock, K.B.,1970. The Baker Institute world gas trade model[J]. Natural gas and geopolitics,357-406.
    Hartley, P.R., Medlock, K.B. Ⅲ, Rosthal, J.E.,2008. The relationship of natural gas to oil prices[J]. The Energy Journal,29:47-65.
    Heidari, H., Katircioglu, S.T., Saeidpour, L.,2013. Natural gas consumption and economic growth: Are we ready to natural gas price liberalization in Iran?[J]. Energy Policy,63:638-645.
    Henning, B., Sloan, M., de Leon, M.,2003. Natural gas and energy price volatility. American Gas Foundation, Arlington, VA.
    Herbert,1993. The relation of monthly spot to futures prices for natural gas[J]. Energy,18(11): 1119-1124.
    Herbert, J.H.,1995. Trading volume, maturity and natural gas futures price volatility [J]. Energy Economics,17(4):293-299.
    Higashi, N.,2009. Natural gas in China market evolution and strategy. Working paper.
    Holz, F., von Hirschhausen, C., Kemfert, C.,2008. A strategic model of European gas supply (GASMOD) [J]. Energy Economics,30:766-788.
    Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C.C., Liu, H. H.,1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences,454(1971):903-995.
    Huang, N.E., Wu, M.L., Qu, W.D., Long, S. R., Shen, S.S.P.,2003. Applications of Hilbert-Huang transform to non-stationary financial time series analysis[J]. Applied stochastic models in business and industry,19(3):245-268.
    ICC Commercial Crime Services (2011) available at http://www.icc-ccs.org/.
    Im, K., Pesaran, M.H., Shin, Y.,2003. Testing for unit roots in heterogeneous panels[J]. Journal of Econometrics,115(1):53-74.
    International Country Risk Guide,2011. International Country Risk Guide 2010. The PRS Group, New York.
    International Energy Agency (IEA),2008. Natural Gas Market Review. IEA/OECD, Paris.
    International Energy Agency (IEA),2011. Coal and natural gas import costs and export prices: OECD-Natural gas import costs by importing country and by origin, IEA Energy Prices and Taxes Statistics (database), doi:10.1787/data-00438-en.
    International Energy Agency (IEA),2011. World Energy Outlook. IEA/OECD, Paris.
    International Energy Agency (IEA),2011. Natural Gas Information 2010. IEA/OECD, Paris.
    International Energy Agency (IEA),2012. Natural Gas Information 2011. IEA/OECD, Paris.
    International Energy Agency (IEA),2013. Developing a natural gas trading hub in Asia. IEA/OECD, Paris.
    Ji, Q., Fan, Y,2011. How does oil price volatility affect non-energy commodity markets?[J] Applied Energy,89(1):273-280.
    Ji, Q., Geng, J.B., Fan, Y,2014a. Separated influence of crude oil prices on regional natural gas import prices[J]. Energy Policy,70:96-105.
    Ji, Q., Zhang, H.Y., Fan, Y,2014b. Identification of global oil trade patterns:An empirical research based on complex network theory [J]. Energy Conversion and Management.
    Jiang, B.B., Chen W.Y., Yu Y.F., Zeng L.M., Victor, D.,2008. The future of natural gas consumption in Beijing, Guangdong and Shanghai:An assessment utilizing MARKAL[J]. Energy Policy,36:3286-3299.
    Kalashnikov, V.V., Matis, T.I., Perez-Valdes, G.A.,2010. Time series analysis applied to construct US natural gas price functions for groups of states[J]. Energy Economics,32:887-900.
    Kao, C.,1999. Spurious regression and residual-based tests for cointegration in panel data[J]. Journal of Econometrics,90(1):1-44.
    Kao, C.W., Wan, J.Y,2009. Information transmission and market interactions across the Atlantic-an empirical study on the natural gas market[J]. Energy Economics,31:152-161.
    King, M., Cuc, M.,1996. Price convergence in North American natural gas spot markets[J]. The Energy Journal,17(2):17-42.
    Kliesen, K.L.,2006. Rising natural gas prices and real economic activity[J]. Federal Reserve Bank of St. Louis Review,88(6):511-526.
    Kruskal, J.B.,1956. On the shortest spanning subtree of a graph and the travelling salesman problem. Proceedings of the American Mathematical Society,7:48-50.
    Kuwahara, N., Bajay, S.V., Castro, L.N.,2000. Liquefied natural gas supply optimisation[J]. Energy Conversion & Management,41(2):153-161.
    Kydland F.E., Prescott E.C.,1990. Business cycles:real facts and a monetary myth[J]. Federal Reserve Bank of Minneapolis Quarterly Review,14(2):3-18.
    Lautier, D., Raynaud, F.,2012. Systemic risk in energy derivative markets:a graph-theory analysis[J]. The Energy Journal,33:215-239.
    Levin, A., Lin, C.F., Chu, C.S.,2002. Unit root tests in panel data:asymptotic and finite-sample properties[J]. Journal of Econometrics,108(1):1-24.
    Lin, W.S., Zhang, N., Gu, A.Z.,2010. LNG (liquefied natural gas):A necessary part in China's future energy[J]. Energy,35(11):4383-4391.
    Lin, B.Q., Jr., P.K.W.,2013. What causes price volatility and regime shifts in the natural gas market[J]. Energy,55:553-563.
    Lin, B.Q., Wang, T.,2012. Forecasting natural gas supply in China:Production peak and import trends[J]. Energy Policy,49:225-233.
    Linn, S.C., Zhu, Z.,2004. Natural gas prices and the gas storage report:Public news and volatility in energy futures markets[J]. Journal of Futures Markets,24(3):283-313.
    Lise, W., Hobbs, B.F.,2009. A dynamic simulation of market power in the liberalised European natural gas market[J]. The Energy Journal,30:119-136.
    Logan, J., Lopez, A., Mai, T, Davidson, C, Bazilian, M., Arent, D.,2013. Natural gas scenarios in the U.S. power sector[J]. Energy Economics,40:183-195.
    Loungani, P., Matsumoto, A.,2012. Oil and natural gas prices:together again? Working paper.
    Lund, S.E., Marina, T.,2006. Russian natural gas exports to Europe:Effects of Russian gas market reforms and the rising market power of Gazprom. Working paper.
    Ma, L.W., Geng, J., Li, W.Q., Liu, P., Li, Z.,2013. The development of natural gas as an automotive fuel in China[J]. Energy Policy,62:531-539.
    Maddala, G.S., Wu, S.,1999. A comparative study of unit root tests with panel data and a new simple test[J]. Oxford Bulletin of Economics and Statistics,61(0):631-652.
    Maguire, K.,2012. Prices or politics? The influence of markets and political party changes on oil and gas development in the United States[J]. Energy Economics,34:2013-2020.
    Mantegna, R.N.,1999. Hierarchical structure in financial markets[J]. The European Physical Journal B,11:193-197.
    Massol, O., Tchung-Ming, S.,2010. Cooperation among liquefied natural gas suppliers:Is rationalization the sole objective? [J]. Energy Economics,32:933-947.
    Mastrangelo, E.,2007. An analysis of price volatility in natural gas markets. Working paper.
    Maxwell, D., Zhu, Z.,2011. Natural gas prices, LNG transport costs, and the dynamics of LNG imports[J]. Energy Economics,33:217-226.
    Mazighi, A.E.H.,2003. An examination of the international natural gas trade[J]. OPEC Review, 27(4):313-329.
    Mazighi, A.E.H.,2005. Henry Hub and national balancing point prices:what will be the international gas price reference? [J]. OPEC Review,29(3):219-230.
    Mazighi, A.E.H.,2006. The drivers behind the globalization of natural gas markets[J]. OPEC Review,30(2):71-84.
    Medlock III, K.B.,2009. The future of liquefied natural gas trade[M]. Handbook Utility Management. Springer Berlin Heidelberg,361-384.
    Melikoglu, M.,2013. Vision 2023:Forecasting Turkey's natural gas demand between 2013 and 2030[J]. Renewable and Sustainable Energy Reviews,22:393-400.
    Messner, S.,1986. Natural gas trade in Europe and interactive decision analysis[J]. Large-Scale Modelling and Interactive Decision Analysis Lecture Notes in Economics and Mathematical Systems,273:291-302.
    MIT,2011. The future of natural gas:an interdisciplinary mit study. Interim report.
    Mork, K.A.,1989. Oil and the macroeconomy when prices go up and down:an extension of Hamilton's results[J]. Journal of Political Economy,97:740-744.
    Mu, X.Y.,2007. Weather, storage, and natural gas price dynamics:Fundamentals and volatility [J]. Energy Economics,29:46-63.
    Murry, D., Zhu, Z.2004. EnronOnline and Informational Efficiency in the U.S. Natural Gas Market[J]. The Energy Journal,25(2):57-74.
    Murry, D., Zhu, Z.,2008. Asymmetric price responses, market integration and market power:A study of the U.S. natural gas market[J]. Energy Economics,30:748-765.
    Neumann, A.,2009. Linking natural gas markets:is LNG doing its job?[J]. The Energy Journal, 30:187-200.
    Neumann, A., Siliverstovs, B., von Hirschhausen, C.,2006. Convergence of European spot market prices for natural gas? A real-time analysis of market integration using the Kalman Filter[J]. Applied Economics Letters,13:727-732.
    Oladosu, G.,2009. Identifying the oil price-macroeconomy relationship:An empirical mode decomposition analysis of US data[J]. Energy Policy,37(12):5417-5426.
    Ozelkan, E.C., D'Ambrosio, A., Teng, S.G.,2008. Optimizing liquefied natural gas terminal design for effective supply-chain operations[J]. International Journal of Production Economis, 111(2):529-542.
    Panagiotidis, T., Rutledge, E.,2007. Oil and gas markets in the UK:Evidence from a cointegrating approach[J]. Energy Economics,29:329-347.
    Park, H., Mjelde, J.W., Bessler, D.A.,2008. Price interactions and discovery among natural gas spot markets in North America[J]. Energy policy,36(1):290-302.
    Park, J., Ratti, R.A.,2008. Oil price shocks and stock markets in the U.S. and 13 European countries[J]. Energy Economics,30:2587-2608.
    Pedroni, P.,2004. Panel cointegration:asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis [J]. Econometric Theory,20(3):597-625.
    Radetzki, M.,1999. European natural gas:market forces will bring about competition in any case[J]. Energy Policy,27(1):17-24.
    Ramberg, D.J., Parsons, J.E.,2012. The weak tie between natural gas and oil prices. The Energy Journal,33(2):13-35.
    Renou-Maissant, P.,2012. Toward the integration of European natural gas markets:A time-varying approach[J]. Energy Policy,51:779-790.
    Robinson, T.,2007. Have European gas prices converged?[J]. Energy Policy,35(4):2347-2351.
    Rodriguez, R. Y.,2008. Real option valuation of free destination in long-term liquefied natural gas supplies[J]. Energy Economics,30 (4):1909-1932.
    Roesser, R.,2009. Natural gas price volatility. California Energy Commission. Working paper.
    Rowse, J.,1987. Canadian natural gas exports, domestic gas prices, and future gas supply costs[J]. The Energy Journal,8(2):43-62.
    Sagen, E.L., Tsygankova, M.,2008. Russian natural gas exports-Will Russian gas price reforms improve the European security of supply?[J]. Energy Policy,36:867-880.
    Schultz, E., Swieringa, J.,2013. Price discovery in European natural gas markets[J]. Energy Policy, 61:628-634.
    Serletis, A., Shahmoradi, A.,2006. Retures and volatility in the NYMEX Henry Hub natural gas futures market[J]. OPEC Review,30(3):171-186.
    Shaffer, B.,2013. Natural gas supply stability and foreign policy[J]. Energy Policy,56:114-125.
    Shi, G.H., Jing, Y.Y., Wang, S.L., Zhang, X.T.,2010. Development status of liquefied natural gas industry in China[J]. Energy Policy,38 (11):7457-7465.
    Siliverstovs, B., L'Hegaret, G, Neumann, A., von Hirschhasusen, C.,2005. International market integration for natural gas? A cointegration analysis of prices in Europe, North America and Japan[J]. Energy Economics,27 (4):603-615.
    Slaba, M., Gapko, P., Klimesova, A.,2013. Main drivers of natural gas prices in the Czech Republic after the market liberalisation[J]. Energy Policy,52 (2013):199-212.
    Suenaga, H., Smith, A., Williams, J.,2008. Volatility dynamics of NYMEX natural gas future prices[J]. Journal of Futures Markets,28(5):438-463.
    Szikszai, A., Monforti, F.,2011. GEMFLOW:A time dependent model to assess responses to natural gas supply crises[J]. Energy Policy,39:5129-5136.
    Thomas, S., Dawe, R.A.,2003. Review of ways to transport natural gas energy from countries which do not need the gas for domestic use[J]. Energy,28:1461-1477.
    Tonn, V.L., Li, H.C., McCarthy, J.,2010. Wavelet domain correlation between the futures prices of natural gas and oil[J]. The Quarterly Review of Economics and Finance,50:408-414.
    Villada, J., Olaya, Y.,2013. A simulation approach for analysis of short-term security of natural gas supply in Colombia[J]. Energy Policy,53:11-26.
    Villar, J.A., Joutz, F.L.,2006. The relationship between crude oil and natural gas prices. Working paper.
    Wagbara, O.N.,2007. How would the gas exporting countries forum influence gas trade?[J]. Energy Policy,35:1224-1237.
    Wakamatsu, H., Aruga, K.,2013. The impact of the shale gas revolution on the U.S. and Japanese natural gas markets[J]. Energy Policy,62:1002-1009.
    Walls, W.D.,1994. Price convergence across natural gas fields and city markets[J]. The Energy Journal,15(4):37-48.
    Walls, W.D.,1995. An econometric analysis of the market for natural gas futures[J]. The Energy Journal,16(1):71-84.
    Wang, Q., Chen, X., Jha, A.N., Rogers, H.,2014. Natural gas from shale formation-The evolution, evidences and challenges of shale gas revolution in United States[J]. Renewable and Sustainable Energy Reviews,30:1-28.
    Wang, T., Lin, B. Q.,2014. China's natural gas consumption and subsidies-From a sector perspective. Energy Policy,65:541-551.
    Watts, D.J., Strogatz, S.H.,1998. Collective dynamics of 'small-world' networks[J]. Nature,393: 440-442.
    Weber, J. G.,2013. A decade of natural gas development:The makings of a resource curse? [J]. Resource and Energy Economics, http://dx.doi.org/10.1016/j.reseneeco.2013.11.013
    Whistance, J., Thompson, W.,2010. How does increased corn-ethanol production affect US natural gas prices? [J]. Energy Policy,38:2315-2325.
    Whistance, J., Thompson, W.W., Meyer, S.D.,2010. Ethanol policy effects on US natural Gas prices and quantities[J]. The American Economic Review,100(2):178-182.
    Wiser, R., Bolinger, M.,2007. Can deployment of renewable energy put downward pressure on natural gas prices? [J]. Energy Policy,35:295-306.
    Wood, D.A.,2012. A review and outlook for the global LNG trade[J]. Journal of Natural Gas Science and Engineering,9:16-27.
    Wu, Z., Huang, N.E.,2009. Ensemble empirical mode decomposition:a noise-assisted data analysis method[J]. Advances in Adaptive Data Analysis,1(1):1-41.
    Yu, L., Wang, S., Lai, K.K.,2008. Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm[J]. Energy Economics,30(5):2623-2635.
    Zhang, H.Y., Ji, Q., Fan, Y.,2013. An evaluation framework for oil import security based on the supply chain with a case study focused on China[J]. Energy Economics,38:87-95.
    Zhang, X., Lai, K.K., Wang, S.Y.,2008. A new approach for crude oil price analysis based on empirical mode decomposition[J]. Energy Economics,30(3):905-918.
    Zhang, X., Yu, L., Wang, S.Y., Lai K.K.,2009. Estimating the impact of extreme events on crude oil price:An EMD-based event analysis method[J]. Energy Economics,31(5):768-778.
    Zwart, G., Mulder, M.,2006. NATGAS:a model of the European natural gas market. Working paper.
    范英,姬强,朱磊,李建平,2013.中国能源安全研究—基于管理科学的视角[M].北京:科学出版社.
    冯玉军,2010.国际天然气市场变化与中俄天然气合作前景[J].国际石油经济,10:46-50.
    单卫国,2011.全球天然气市场发展及趋势[J].中国能源,33(1):13-16.
    商务部.2006.中国商务统计年鉴[M].北京:中国商务出版社.
    杨玉峰,2009.美国页岩气发展对全球天然气市场的影响[J].国际石油经济,12:35-38.
    中国海关总署.2011.中国海关统计年鉴[M].北京:中华人民共和国海关总署发行部.
    中国石油天然气集团公司经济技术研究院.2014.2013年国内外油气行业发展报告.

© 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