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2007-2009国际金融危机传染的时空机制研究
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摘要
随着经济全球化和金融自由化的不断发展,金融危机的易发性、传染性和破坏性日益明显。起源于美国次级抵押贷款的2007年金融危机,最终演变为波及全球金融市场乃至实体经济的全球性、系统性金融危机。尽管自爆发至今时间已近三年,本轮金融危机对世界经济的负面影响仍然深远且广泛。本次国际金融危机与以往危机相比具有明显不同的特征,如危机传染的全球性和系统性特征更为显著、与实体经济的交互作用更加明显、传染的空间依赖性和空间异质性更为突出,且在一些地理相隔甚远、相互间没有紧密的金融、实体经济依赖的国家之间也发生了传染。而这些牵涉到地域空间和国际关系的深层问题已经超越了传统计量经济学的研究范畴,需要引进新的分析方法和思路。本文试图采用时间序列分析和空间计量经济学相结合的方法对上述问题做出合理解释。
     本文以国际金融危机传染的非物理空间依赖为理论假设,采用理论分析和实证检验相结合的方法对国际金融危机传染的时空机制进行分析。在理论上,基于三代金融危机模型和Masson的金融危机国际传染机制理论以及本文设定的理论假设,构建了能够探测和分析国际金融危机传染的主要途径、空间依赖性和空间异质性的理论模型。在实证上,首先采用向量自回归模型探测国际金融危机传染的时间特征(强度、持续时间、反馈效应);然后根据世界经济自由度指数构建了金融危机传染的经济政治制度空间,并采用探索性空间数据分析对危机传染的物理空间依赖性和经济政治制度空间依赖性进行检验;最后,基于设定的金融危机传染的理论模型框架,采用空间面板数据分析的方法,将宏观经济基本面、金融贸易联系、国家间的相似性等有机地结合起来,对国际金融危机的主要传染机制、空间依赖性和异质性进行了实证检验与分析。本研究得出以下主要结论:
     (1)国际金融危机的传染过程表现出直线逆反馈机制和网状交叉传染机制。
     在金融危机的潜伏期,其他国家的金融市场主要受到美国金融市场单方面的波动影响;随着金融危机的爆发,美国和其他国家金融市场间的双向因果关系明显增加,受危机传染的国家越来越多,而这些国家又将危机进一步传染给了传染源——美国,表现出危机传染的逆反馈效应;在实体经济危机阶段,金融危机在美国以外的其他国家间交叉传染的程度明显加剧,这也正是国际金融危机的传染由局部走向全球、由线状走向网状的现实背景。脉冲响应分析结果表明,美国金融市场波动对其他国家金融市场的冲击在危机阶段超出了正常范围,冲击强度不断上升,冲击的持续时间也不断增加;随着金融危机向实体经济领域的扩散,这种冲击逐渐趋于平缓。
     (2)国际金融危机的空间传染路径表现出明显的经济制度空间依赖性。
     参照经典地图学绝对物理空间的构建思想,通过对世界经济自由度指标的分解和再合成,构建了金融危机四个传染阶段的四种经济政治制度空间。基于探索性空间数据分析的研究结果表明,国际金融危机的传染在危机潜伏阶段和危机局部爆发阶段,在物理空间和经济制度空间中均表现出了空间依赖性,而基于经济制度空间的依赖性比物理空间更为显著和强烈。由此,验证了本文提出的国际金融危机非物理空间传染的理论假设,即国家间经济、政治制度等的相似性较地理空间上的临近性更容易导致金融危机的传染。
     (3)国际金融危机传染路径的经济制度空间依赖性随着金融危机程度的加剧有明显增强的趋势。
     空间面板数据模型的实证结果表明,在国际金融危机的四个传染阶段,金融危机的传染路径在经济制度空间上均表现出了显著的空间依赖性,表明了国家间的经济制度趋同是金融危机在空间上蔓延的重要推动因素。而且,随着金融危机程度的加剧,传染的经济制度空间依赖性有明显增强的趋势。金融危机传染的经济制度空间依赖性正是Masson金融危机传染机制的净传染效应的表现,本文的这一研究发现也鲜有地实证了金融危机的净传染机制。此实证结果也给我们带来了很多启示,例如中国在此次国际金融危机中之所以相比其他国家没有受到较大冲击,正是中国现行的经济政治制度在一定程度上有效抵制了金融危机的传染。
     (4)国际金融危机的传染过程表现出季风效应、溢出效应和净传染效应三种机制。宏观经济基本面因素是四个阶段金融危机传染的共同影响因素,金融溢出对金融危机传染的影响在全球金融海啸阶段和实体经济危机阶段表现的更为明显,而贸易溢出在危机潜伏阶段和全球金融海啸阶段是危机传染的重要渠道。在全球金融海啸阶段,宏观经济基本面的脆弱性、金融和贸易联系均是金融危机传染的影响因素,三者的共同作用加剧了金融危机传染的强度,并推动危机在更为广泛的空间传染。亦即金融危机的三种传染机制在危机传染过程中是相互交织、同时发生作用的。
Financial crisis, a rare economic phenomenon once only contained within a nation, now has become easier to happen, internationally infectious, and more destructive along with the ever-going economic globalization and financial liberalization. The 2007 world financial crisis demonstrated such a power:it originated from U.S. sub-prime loans and eventually became a global, systemic financial crisis that had swept the world's financial markets as well as real economies. Despite the outbreak being behind us for more than two years, its negative impact on the world economy is still far-fetched. Compared to previous crises, this international financial crisis possesses some obviously different features, such as the global and systematic nature of contagion being even more significant, the interaction with the real economy being more obvious, and spatial dependence and spatial heterogeneity of financial contagion becoming more salient. Even among some countries that are far apart in distance and have no close relationship in finance or real economy, the contagion of financial crisis also took place. These issues deeply relate to profound regional economic structures and international relations of that time and apparently go beyond the research regime of traditional econometrics;there is an urgent need to introduce new methods of analysis and thinking. The paper presented here attempts to provide reasonable explanations of these issues through time series analysis and spatial econometric methods.
     Assuming the existence of non-physical spatial dependence for the spread of the 2007-2009 international financial crisis, this paper analyzed the spatiotemporal mechanism of crisis transmission through a series of theoretical reasoning and empirical tests. A theoretical model for detecting and analyzing the major paths, spatial dependence and heterogeneity was constructed in accordance with the Three-Generation Financial Crisis Model, Masson's theory of international contagion mechanism of financial crisis, as well as the aforementioned assumption. Empirically, temporal characteristics (i.e. intensity, duration, feedback effects) of the contagion were first detected using a vector auto-regression model. Then an economic and political system space of financial crisis contagion was constructed with the economic freedom index, and the autocorrelation of the crisis contagion within both physical space and system space was examined respectively through exploratory spatial data analyses.Based on the established theoretical framework of financial crisis contagion, this paper eventually conducted a spatial panel data analysis by organically combining the macroeconomic fundamentals, financial and trade ties, and the similarity between countries to empirically test and analyze the crisis's main transmission mechanism, spatial dependence, and spatial heterogeneity. This study draws the following conclusions:
     (1)The contagion process of the international financial crisis exhibits an inverse linear feedback mechanism and a mesh cross-infection mechanism.
     During the incubation period of the financial crisis, major financial markets of other countries were affected unilaterally by the U.S.financial market volatilities. Starting from the outbreak of the financial crisis, a bilateral causal relationship between the financial markets of the United States and other countries became increasingly significant. As the number of infected countries increased, the crisis in these countries in turn further transmitted to the source of infection-the United States. This shows an inverse feedback contagion effect. In the phase of real economy crisis, on the other hand, the degree of cross-infection among the U.S.financial crisis and those taking places in other countries was significantly increased. This helped to forge a realistic background for the spread of the international financial crisis from local to global, from a linear pattern to a mesh pattern. Impulse response analysis shows that the impact of the U.S.financial market volatility on other countries'financial markets exceeded the normal range, and the strength of impact increased continuously, the duration of the impact also lengthened. As the financial crisis spread to the real economy, this kind of impact was gradually leveling off.
     (2) The spatial path of international financial crisis clearly shows the existence of a spatial dependence of the economic system.
     Referring to the ideological architecture of an absolute physical space in classic cartography, this paper constructed different kinds of economic and political spaces for the four infectious stages of the financial crisis through decomposition and re-synthesis of selected world economic freedom indices. Research results based on exploratory spatial data analysis indicated that in the latent and local outbreak stages, the contagion of the crisis presented signs of dependence in both physical space and economic system space, with the dependence in the latter much stronger and more significant than that in the former. As a result, the work confirmed the theoretical hypothesis proposed in this thesis about the contagion of international financial crises through a non-physical space, that is, the similarity of economic and political systems among different countries has heavier weight than the physical distance on the contagion of financial crisis between these countries.
     (3) The dependence of the financial crisis contagion on system-space is significantly enhanced along with the intensification of the crisis itself.
     Analytic results from the spatial panel data modeling in this study show that the contagion of the international financial crisis presented obvious spatial dependence within the constructed economic-political system space in each of the four contagion phases. This indicates that the convergence of the economic and political systems among different countries comprises an important driving factor in the spatial spread of the crisis. Moreover, as the financial crisis intensified, this trend of relying on the similarity space of economic systems to transmit crisis was significantly enhanced. Such dependence revealed in this study is exactly a manifestation of the net contagion effect of a financial crisis transmission mechanism, a concept proposed by Masson. Findings of this study also provided evidence of this net contagion, which has rarely been found in other studies. We can learn a few lessons from these empirical results, such as the fact that the reason why China suffered much less impact from this international financial crisis than any other country is because the currently-practiced economic and political system in China may to some extent effectively resist the contagion of financial crisis.
     (4) Three types of transmission mechanism were shown in the contagion process of the international financial crisis, including the monsoon effect, the spillover effect, and the net effect.
     Macroeconomic fundamentals are the common factors across all four stages of the crisis contagion process. The impact of financial spillover on the crisis transmission impact is more obvious in the phases of the global financial tsunami and the crisis of real economies. The trade spillover is an important channel for contagion in the crisis-latent phase and the global financial tsunami.During the global financial tsunami, the vulnerability of macroeconomic fundamentals and links between finance and trade are the impact factors of the financial crisis contagion. The combined effects of the three contagion mechanisms exacerbated the strength and breadth of the financial crisis, i.e. they are intertwined to function simultaneously in the course of financial crisis contagion.Ⅶ
引文
1.Ahluwalia P. Discriminating contagion:an alternative explanation of contagious currency[R]. IMF Working paper,2000.
    2.Ali L. and Lebreton M. The ERM breakdown:a spatial econometric approach [J],Applied Economics Letters,2007,14(3):197-201.
    3.Anselin L. Spatial econometrics:methods and models [M].Dordrecht:Kluwer Academic Publishers,1988.
    4. Anselin L. What is special about spatial data? Alternative perspectives on spatial data analysis [A].In:Griffith D A, ed. Statistics, Past, Present and Future [C].Ann Arbor, MI: Institute of Mathematical Geography,1990.
    5.Anselin L. Local indicators of spatial association:LISA [J].Geographical Analysis,1995,27: 93-115.
    6.Anselin L. SpaceStat version 1.80 user's guide [M].Urbana, IL:University of Illinois, Urbana-Champaign,1995,
    7.Anselin L.The future of spatial analysis in the social sciences [J].Geographic Information Sciences,1999,5(2):67-76.
    8.Anselin L. The link between GIS and spatial analysis:GIS,spatial econometrics and social science research [J].Journal of Geographical Systems,2000,2:11-15.
    9.Anselin L. Spatial econometrics [A].In Baltagi, Badi, editor, A Companion to Theoretical Econometrics[C].Blackwell,Oxford,2001:310-330.
    10. Anselin L.,Le Gallo J. and Jayet H. Spatial panel econometrics [A].In:Matyas L, Sevestre P. (eds) The Econometrics of Panel Data, Fundamentals and Recent Developments in Theory and Practice,3rd edn[C].Kluwer, Dordrecht,2006:901-969.
    11.Arbia G,Basile R. and Piras G. Using spatial panel data in modeling regional growth and convergence [R].Working paper n.55.Institute for Studies and Economic Analyses,2005.
    12.Artis M.,Dreger C.and Kholodilin K. Common and spatial driver in regional business cycle [Z].CEPR Discussion Papers with number 7206,2009.
    13.Allen F. and Gale D.Financial contagion [J].Journal of Political Economy,2000,108:1-33.
    14.Avgouleas E. The global financial crisis, the disclosure paradigm, and European financial regulation: the case for reform [R].Research Notes,2009.
    15.Baltagi B.H.Econometric analysis of panel data [M](Second Edition), John Wiley & Sons, Chichester, United Kingdom,2001.
    16.Baltagi,B.H. Testing for serial correlation,spatial autocorrelation and random Effects using panel data [R].Working paper, Texas A & M University, College Station,TX,2003.
    17.Baltagi,B.H.Econometrics analysis of panel data (3rd edition) [M].Chichester:Wiley,2005
    18.Bayoumi T.,Fazio G.,Kumar M.and MacDonald R. Fatal attraction:using distance to measure contagion in good times as well as bad [J],Review of Financial Economics,2007,16:259-273.
    19.Blanchard O.,Watson M.and Bubbles.Rational expectations and financial markets [A].Paul Wachtel (ed).Crises in Economic and Financial Structure [C].Lexington Books,1982.
    20.Bodson P. and Peeters D.Estimation of the coefficients of a Linear Regression in the Presence of Spatial Autocorrelation:An application to a Belgian Labour-Demand Function [J].Environment and Planning A,1975,7:455-472.
    21.Boots B.,Getis A.Point pattern analysis[M].Newbury Park, CA:Sage Publications,1988.
    22.Boyer and Russell S.,Optimal foreign exchange market intervention [J],Journal of political economy, 1978,Vol.86,No.6,1045-1055.
    23.Brien O.R. and Keith A.The geography of finance:after the storm [J].Cambridge Journal of Regions, Economy and Society 2009,2:245-246.
    24.Burdekin,R.C.K. and Burkett. A Re-examination of the monetary model of exchange market pressure: Canada,1963-1988[J],Review of Economics and Statistics,1990,Vol.72,No.4:677-681.
    25.Burridge and Peter. On the Cliff-Ord test for spatial autocorrelation [J].Journal of the Royal Statistical Society B,1980,42:107-108
    26.Calvo S.and Reinhart C.M. Capital flows to Latin America:Is There Evidence of Contagion Effects? [R] World Bank Policy Research, Working Paper No.1619,1996.
    27.Calvo G. Balance of payments crises in emerging markets [R].University of Maryland.1998.
    28.Caramazza F.,Ricci L.A.and Salgado R.,Trade and finanical contagion in currency crises [R].IMF Working Paper 00/55,2000.
    29.Case A.C.Spatial patterns in household demand [J].Econometrica,1991,59(4):953-965.
    30.Case A.C.Neighborhood influence and technological change [J].Regional Science and Urban Economics,1992,22:491-508.
    31.Case A.C.,Harvey R. S.and James H.R. Budget spillovers and fiscal policy interdependence: Evidence from the states[J].Journal of Public Economics,1993,52:285-307.
    32.Cashin P.A.and McDermott J.C.International Integration of equity markets and contagion effects [R]. IMF Working Paper No.95/110,1995.
    33.Cerra V.and Saxena S.C.Contagion, monsoons and domestic turmoil in Indonesia:a case study in the Asian currency crisis [R].IMF working paper WP/00/60,2000.
    34.Chang R. and Velasco A. The Asian liquidity crisis [R].NBER Working Papers 6796, National Bureau of Economic Research, Inc.1998.
    35.Cheung L.,Tam C.and Szeto J. Contagion of financial crises:a literature review of theoretical and empirical frameworks [R],Hong Kong Monetary Authority, Research Note 02/2009.
    36.Chui M. Leading indicators of balance-of-payments crises:A partial review. Bank of England [R].Working Paper No.171.Bank of England,2002.
    37.Cliff A.D. and Ord. J.K. Spatial autocorrelation [M].Pion Ltd, London,1973.
    38.Cliff A.D and Ord.J.K. Spatial processes:models and applications [M].London:Pion,1981.
    39.Conley T.G. and Ethan L. Economic distance, spillovers and cross country comparisons [J].Journal of Economic Growth,2002,7:157-187.
    40.Conley T.G and Giorgio T. Socio-economic distance and spatial patterns in unemployment [J].Journal of Applied Econometrics,2002,17:303-327.
    41.Corsetti G., Pesenti P.A. and N.Roubini. Paper Tigers? A model of Asian crisis[R].NBER Working Paper No. W6783,1998.
    42.Dacey M. A review of measures of contiguity for two and K-Color Maps[C].,In Spatial Analysis:A Reader in Statistical Geography, edited by B.Berry and D.Marble.Englewood Cliffs, N.J.,Prentice Hall,1968:479-495.
    43.Daniel S.Comparative analysis of the exchange market pressure in central European countries with the Eurozone membership perspective [R].MPRA Paper No.3906,2007.
    44.De Gregorio J. and Valdes R.O.Crisis transmission:evidence from the Debt, Tequila, and Asian Flu crises [J].Journal of The World Bank Economic Review,2000,15(2):289-314.
    45.Dermirguc-Kunt A. and Deragiache E. Monitoring banking sector fragility:a multivariate logit approach [J],World Bank Economics Review,2000,14(2):287-307.
    46.Diamond D. and Dybvig P. Bank Runs, Deposit insurance, and liquidity [J],Journal of Political Economy,1983,91:401-419.
    47. Doyran M. U.S Subprime financial crisis, contagion and containment in the world economy:a macro-organizational perspective.8th Global Conference on Business & Economics,2008.10
    48.Drazen A.and Masson P.R. Credibility of policies versus credibility of policymaker [J].Quarterly Journal of Economics,1994,109:735-754.
    49.Edwards S.Real Exchange Rates, Devaluation and adjustment:exchange rate policy in developing countries [M].Cambridge, Masschusetts:MIT Press,1989.
    50. Edwards S.and Savastano M.The morning after:the Mexican Peso in the aftermath of the 1994 currency crisis [R].NBER Working Paper No.W6516,1998.
    51.Elhorst J.P. Dynamic models in space and time [J].Geographical Analysis,2001,33(2):119-140
    52.Elhorst J.P. Panel data models extended to spatial error autocorrelation or a spatially lagged dependent variable[R],Research Report, University of Groningen,Research Institute SOM(Systems, Organizations and Management),2001.
    53.Elhorst J.P. A spatial panel approach to the East German wage curve[C].Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa02p444,2002.08.
    54.Elhorst J.P. Specification and estimation of spatial panel data models [J].International Regional Science Review,2003,26(3):244-268.
    55.Elhorst J.P. Models for dynamic panels in space and time-an application to regional unemployment in the EU [C].Paper prepared for 45th meetings of the European Regional Science Association in Amsterdam,2005.
    56.Elhorst J.P. A Spatiotemporal analysis of aggregate labour force behaviour by sex and age across the European Union [J].Journal of Geographical Systems,2008,10:167-190.
    57.Elhorst J.P. Spatial panel data Models [A].In:M.M.Fischer and A.Getis (eds.),Handbook of Applied Spatial Analysis [M].Berlin, Springer, Forthcoming,2009.
    58.Elhorst J.P.,Blien U.and Wolf K.New evidence on the wage curve:A spatial panel approach [J]. International Regional Science Review,2007,30(2):173-191.
    59.Elhorst J.P.,Piras G. and Aribia G. Growth and convergence in a multi-regional model with space-time dynamics [C].Paper presented at the Spatial Econometrics Workshop, May 25-27,2006.
    60.Eichengreen B.,Rose K.A. and Wyplosz C.Speculative attacks on pegged exchange rates:an empirical exploration with special reference to the European Monetary System [A],in Matthew Canzoneri,Paul Masson and Vittorio Grilli (eds), Transatlantic Economic Issues[M],Cambridge: Cambridge University Press,1994.
    61.Eichengreen B.,Rose K.A. and Wyplosz C.,Exchange market maythem [J],Economic Policy, 1995,Vol.21:249-312.
    62.Eichengreen B.,Rose K.A. and Wyplosz C.Contagious currency crises:First tests [J],The Scandinavian Journal of Economics,1996,Vol.98,No.4:463-484.
    63.Fingleton B.Regional economic in growth and convergence:insight from spatial econometric perspective [A],In:Anselin, L.,Florax, R. and Rey, S.,(Eds) Advances in Spatial Econometrics [M], Berlin:Springer-Verlag,2004:397-432.
    64. Fisher I. The Debt-Deflation Theory of greate depressions [J].Econometrica,1993.
    65.Flood R.P. and Garber P.M. Real aspects of exchange rate regime choice with collapsing fixed rates [J].Journal of International Economics,1986,21:215-232.
    66.Flood R.P.,Garber P.M.and Kramer C.Collapsing exchange rate regimes:another linear example [J]. Journal of International Economics,1996,41(10):223-234.
    67.Francesco M., Martin K. and Tosetti E. Mental health expenditure in England:a spatial panel approach [J].Journal of Health Economics,2007,26:842-864.
    68.Frankel J. and Rose A.Currency crashes in emerging markets:an empircal treatment [J].Journal of International Economics,1996(41):351-368.
    69.FrexedasV.,Yvata O.and Esher. Financial contagion between economies:an exploratory spatial analysis [J],Estudios De Economia Aplicada,2005,Vol.23-1:151-165.
    70.Gallo J.L.and Ertur C.Exploratory spatial data analysis of the distribution of regional per capital GDP in Europe:1985-1995 [J],Journal of Economics,2003,82(2),175-201.
    71.Geary R. The contiguity ratio and statistical mapping [J].The Incorporated Statistician,1954,5:115-145.
    72.Gebremeskel H.,Gebremariam T.G., Gebremedhin, Schaeffer and Jackson, W.R. A simultaneous spatial sanel data model of regional growth variation:an empirical analysis of employment, income, migration and local public services [R].Working paper from Virginia Polytechnic Institute and State University, Department of Economics,2007.
    73.George H., Kelejian H. H. and Tavlas G. Spatial aspects of contagion among emerging economies [J]. Spatial Economic Analysis,2009,4(2):191-211.
    74.Getis A. and Boots B.Models of spatial process [M].London:Cambridge University Press,1978.
    75.Giancarlo,Pesenti and Roubini.What caused the Asian currency and financial crisis [R].NBER working paper, No.6834,1998.
    76.Girtion L.and Roper D.A monetary model of exchange market pressure applied to the postwar Canadian experience [J].American Economic Review,1977,67(4):537-548.
    77.Giuseppe A.,Roberto B.and Gianfranco P. Using spatial panel data in modeling regional growth and convergence [R].Working paper n.55.Institute for Studies and Economic Analyses,2005.
    78.Glick R. and Rose A.K. Contagion and Trade:Why are currency crises regional?[J].Journal of International Money and Finance, Elsevier,1999,18:603-617.
    79.Goodchild M.Spatial Autocorrelation [M].Norwich,UK:Geobooks,1986.
    80.Goodchild M.,Anselin L, Appelbaum R, and Harthorn B.Toward spatially integrated social science. International [J] Regional Science Review,2000,23(2):139-159.
    81.Goodchild M.and Janelle D.Spatially integrated social science [M].New York:Oxford University Press,2003.
    82.Gould P. Letting the data speak for themselves [J].Annals of the Association of American Geographers,1981,71:166-176.
    83.Granger C.J.Investigating causal relations by econometric models and cross-sectional methods [J]. Econometrica.1969,37:424-438.
    84.Griton L.and Roper. A Monetary model of exchange market pressure applied to the post-war Canadian Experience [J],American Economic Review,1997,.67(4):537-548.
    85.Haining R. Spatial models and regional science:A comment on Anselin's paper and research directions [J].Journal of Regional Science,1986,26:793-798.
    86.Hausman J.A.,Specification tests in econometrics [J].Econometrica,1978,46:1251-1272.
    87. Hsiao C.Benefits and limitations of panel data [J].Econometrics Reviews,1985,(4):121-174.
    88.Hsiao C.Analysis of panel data (2rd Edition) [M].Cambridge University Press,2003:43-44.
    89.Hubbard P.,Kitchin R.,Bartley B.,et al.Thinking geographically:space, theory and contemporary human geography [M].London:Continuum,2002.
    90.Isard W. General theory:social,political,economic and regional [M].Cambridge, Massachusetts:The MIT Press,1969.
    91.Islam N.Growth empirics:a panel data approach [J].Quarterly Journal of Economics,1995,110(4): 1127-1170.
    92.Jason P. B.,Florax and Kevin T. M.Evolution of investment flows in U.S.manufacturing:a spatial panel approach [R].Working Papers from Purdue University, College of Agriculture, Department of Agricultural Economics,2008.
    93.Kaminsky,Lizondo and Reinhart. Leading indicators of currency crisis [R].IMF working paper, WP/97/79,1997.
    94.Kaminsky R.L. and Reinhart C.M. On Crises, Contagion and confusion [J].Journal of Internaitonal Economics,2000,51(1):145-168.
    95.Kakamu K. and Wago H. Bayesian Spatial panel probit model with an application to business cycle in Japan [C],Proceedings of International Congress on Modeling and Simulations,2005:856-863.
    96.Kapoor M. Theory and empirical investigation of the US wholesale gasoline industry [D].University of Maryland,2003.
    97. Kapoor M, Kelejian H.H and Prucha R.I. Panel data models with spatially correlated error components [J].Journal of Economics,2007,140:97-130.
    98.Kim I. Exchange Market pressure in Korea:an application of the Girton-Roper monetary model [J]. Journal of Money, Credit and Banking,1985,17(2):258-263.
    99.Kindleberger, Charlers P.M. Economic response:comparative studies in trade, finance and growth [M], Cambridge:Harvard University Press,1978.
    100.Kindleberger, Charlers P.M., Panics and Crashes:A history of financial crises [M],3rd edition, John Wiley,1996.
    101.Kohlscheen and Werner. E.Estimating exchange market pressure and intervention activity [R],Banco Central do Brasil Information Bureau, Working Paper, No.9,2000.
    102.Krugman P. A Model of balance payment crises [J].Journal of Money, Credit, and Banking.1979, 11(4):311-325.
    103.Krugman P. and Rotemberg J. Target zones with limited reserves [R].NBER Working Papers 3418, National Bureau of Economic Research, Inc.1990.
    104.Krugman P. What happened to Asian? mimeo, MIT, The Official Paul Krugman Web Page, Available at http://web.mit.edu/krugman/www/,1998
    105.Lee, Lung-Fei.Consistency and efficiency of least squares estimation for mixed regressive, spatial autoregressive models [J].Econometric Theory,2002,18(2):252-277.
    106.Lestano, Jacobs J.and Kuper G.H. Indicators of financial crises do work! An early-warning system for six Asian coutries [R],CCSO Working Papers 200313,University of Gronigen, CCSO Center for Economic Research,2003.
    107.Li D. Essays on panel data and spatial models [D].Texas A & M University,2000.
    108.Ying L.G.From physical to general spaces:A spatial econometric analysis of cross-country economic growth [J].The Annals of Regional Science,2005,39:393-418.
    109.Lu W.C.,Chen J.R. and Wang C.L. R&D Spatial spillovers and productivity growth:evidence from dynamic panel[R],Working Paper,2005.
    110.Madaraga N.,Montout S.and Ollivaud, P. Regional convergence and agglomeration in Argentina:a spatial panel data approach [C].Paper provided by Universite Pantheon-Sorbonne(Paris 1)in its series Cahiers de la Maison des Sciences Economiques with number bla05006,2005.06.
    111.Manski C.F. Identification of endogenous social effects:The reflection problem [J].Review of Economic Studies,1993,60(204):531-542.
    112.Masson P. Gaining and losing ERM credibility:the case of United Kingdom [J].The Economic Journal 1995,105:571-582.
    113.Masson P. Contagion:monsoonal effects, spillovers and jumps between multiple equilibria[R].IMF Working Paper No.98/142.,1998.
    114.McKinnon R.I.and H.Pill.International overborrowing:a decomposition of credit and currency risks, Working Papers 98004, Stanford University, Department of Economics,1998.
    115.Michael,Connolly and Dean T. The exact timing of the collapse of an exchange rate regime and its impact on the relative price of traded goods [J].Journal of Money, Credit and Banking.1984,16:194-207.
    116.Michael A.,Dreger C.and Kholodilin K.Common and spatial driver in regional business cycle [Z]. Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 7206, 2009.2
    117.Minsky H.P. Reconstituting the United States's financial structure:some fundamental issues.Levy Economics Institute, Economics Working Paper No.69,1991.
    118.Moran P. The interpretation of statistical maps [J].Journal of the Royal Statistical Society,1948,10: 243-251.
    119.Morris S.and Shin H. Unique equilibrium in a model of self-fulfilling currency attacks [J].American Economic Review,1998,88:587-597.
    120.Moscone F.,Knpp M.and Tosetti E.Mental health rxpenditure in England:s spatial panel approach [J].Journal of Health Economics,2007,26:842-864.
    121.Mucahit Y., Nadir O.and Mahmut E.Economic hrowth in Turkey:a spatial effect analysis.Joint Congress of the European Regional Science Association and ASRDLF,2007.
    122.Mundlak Y. On the pooling of time series and cross section data [J].Econometrica,1978,46(1):69-85.
    123.Mutl J.and Pfaffermayr M. The spatial random effects and the spatial fxed effects model:the Hausman test in a Cliff and Ord panel model [C].Paper provided by Institute for Advanced Studies in its series Economic Series with number 229,2008.10.
    124. Novo A. A. Contagious currency crises:a spatial probit approach [R]. Banco de Portugal, 2004.
    125.Obstfeld M. The logic of currency crises. NBER Working Paper No.4640,1994.
    126.Obstfeld M. Models of currency crises with self-fulfilling features.NBER Working Paper No.5282, 1996.
    127.Ord J.K. and Getis A. Local spatial autocorrelation statistics:distributional issues and application [J]. Geographical Analysis,1995,27:286-306.
    128.Ozkan F.G. and Sutherland A. Policy measures to avoid a currency crisis [J].The Economic Journal, 1995,105(429):510-519.
    129.Pace P.K. and LeSage J.P. A spatial Hausman test [J],Economics Letters,008,101:282-284.
    130.Pericoli M. and Sbracia M. A primer on financial contagion[R].Economic Rresearch Department of the Bank of Italy, Number 401,2001
    131.Pontinesa V. and Siregar R. Fundamental pitfalls of exchange market pressure-based approaches to identification of currency crises [J].International Review of Economic and Finance,2008,17(3):345-365.
    132.Radelets and Sachs.The onset of the East Asian financial crisis, NBER Working Paper No.6680, 1998.
    133.Rijckeghem V.C.and Weder B.Spillovers through banking centers:a panel data analysis of bank flows, Journal of International Money and Finance,2003,22:483-509.
    134.Roper D. and Turnovsky S.J. Optimal exchange market intervention in a simple stochastic Macro model [J],Canadian Journal of Economics,1980,13(2):296-309.
    135.Sachs J., Tornell, A. and Velasco A. Financial crises in emerging markets:the lessons from 1995, NBER Working Paper 5576,1996.
    136. Sarafidis V.Yamagata T. and Robertson D.A test of cross section dependence for a linear dynamic panel data with regressors [J].Journal of Econometrics,2009,148:149-161.
    137.Sims C.A. Macroeconomics and Reality, Econometrica,1980,48(1):1-48.
    138.Sun T. and Zhang X. Spillovers of the U.S.Subprime financial turmoil to mainland China and Hong Kong SAR:evidence from stock markets, IMF Working Paper, WP/09/166,2009.
    139.Tjahjawandita A.,Pradono D.T. and Rinaldi R. Spatial contagion of hlobal financial crisis, Working Paper in Economics and Development Studies, Department of Economics Padjadjaran University,2009.
    140.Tobin J.Asset accumulation and economic activity [M].Basil Blackwell,Oxford,1980.
    141.Tobler W. Cellular geography [A],In Philosophy in Geography [M] edited by S Gale and G. Olsson, Dordrecht:Reidel,1979:379-86.
    142.Verbeek, M.A guide to modern econometrics [M].Chichester:Wiley,2000.
    143.Wartenberg D.Multivariate spatial correlation:A method for exploratory geographical analysis [J]. Geographical Analysis,1985,17:263-283.
    144.Weymark D.N.Estimating exchange market pressure and the Degree of exchange market intervention for Canada[J],Journal of International Economics,1995,39:273-295.
    145.Weymark D.N.Measuring the degree of exchange market intervention in a small open economy [J], Journal of international money and finance,1997a,16(1):55-79.
    146.Weymark D.N.Measuring exchange market pressure and intervention in interdependent economies:a two-country model[J],Review of international economics,1997b,5(1):72-82.
    147.Weymark D.N.A general approach to measuring exchange market pressure [J],Oxford Economic Papers,1998,50:106-121.
    148.Wolfson M.H.,Irving Fisher's Debt-Deflation theory:its relevance to current conditions [J]. Cambridge Journal of Economic,1996,20:315-333.
    149.Wooldridge J.M.Econometric analysis of cross section and panel data [M].The MIT Press, Carbridge, Massachusettes, London, England,2000:252-254.
    150.Yildirim J.,Ocal N.and Erdogan M.Financial development and economic growth in Turkey:a spaital effect analysis [R],Research Notes, Department of Econometrics, Gazi University,2008.
    151.Zheng Y.B.,Zhu J.and Li D.Analyzing spatial panel data of cigarette demand:a Bayesian hierarchical modeling spproach [J].Journal of Data Science,2008 (6):467-489.
    152.Zhu L.L.and Yang J.W. The tole of psychic fisance in vontagion gravity model for contagious financial crises,2004.
    153.安辉.现代金融危机生成的机理与国际传导机制研究[D].东北财经大学博士学位论文,2003.
    154.安忱.开放经济条件下金融传染微观机理研究[D].复旦大学博士学位论文,2003.
    155.安刚.现代货币危机的传导机制[J].经济科学,1999(3):110-115.
    156.巴曙松.从金融危机看中国金融市场的发展.http://www.forex.com.cn/html/c580/2009-09/1166972.htm,2009
    157.操巍.金融危机背景下股票市场分割与一体化研究[D].华中科技大学博士学位论文,2009.
    158.陈道富.美国次贷危机的根源、影响及我国的启示[R].国务院发展研究中心金融研究所综合研究室,2009.
    159.陈晓玲,李国平.我国地区经济收敛的空间面板数据模型分析[J].经济科学,2006,5:5-17.
    160.杜晓蓉.1997年和2008年金融危机对东亚的传染性比较研究[J].经济经纬,2009,3:34-38.
    161.冯芸,吴冲锋.基于引导和互动性的传染效应[J].世界经济,2002,2:34-42.
    162.符淼.省域专利面板数据的空间计量分析[J].研究与发展管理,2008,20(3):106-112.
    163.何江,张馨之.中国区域经济增长及其收敛性:空间面板数据分析[J].南方经济,2006,5:44-52.
    164.胡星.从次贷危机到全球金融危机:警示与反思[J].社会纵横,2009,24(1):33-38.
    165.黄苹.中国省域R&D溢出与地区经济增长空间面板数据模型[J].科学学研究,2008,26(4):749753.
    166.李成,王建军.国际金融危机:直向性传染到交叉性传染的动态效应分析[J],财经科学,2009,6:33-39.
    167.李刚,潘浩敏,贾威.金融危机传染路径的空间统计分析[J],统计研究,2009,26(12):81-87.
    168.李国平,陈晓玲.我国外商直接投资地区分布影响因素研究—基于空间面板数据模型[J].当代经济科学,2007,29(3):43-48.
    169.李凤云.金融危机深度解读[M].北京:人民邮电出版社,2009.
    170.李恒光.金融危机的形成、传染与实证研究[J].辽东学院学报,2009,6(11):39-48.
    171.李子奈,潘文卿.计量经济学[M].北京:高等教育出版社,2005.
    172.林光平,龙志和,吴梅.我国地区经济收敛的空间计量实证分析:1978-2002[J].经济学季刊,2005,4:67-81.
    173.刘树成,王松奇,曹红辉等.美国次贷危机考察报告[R].中国社会科学院经济学部,2008.
    174.刘旸.新兴市场金融危机传染效应的实证研究[D].大连理工大学硕士学位论文,2006.
    175.刘毅.具有空间相依误差的面板数据自回归模型及参数估计的统计计算实现[D].四川大学硕士学位论文,2007.
    176.罗娟.资本账户开放与金融危机[D],湖南大学博士学位论文,2008.
    177.骆永民.政府分权对地方政府效率影响的空间面板数据分析[J].商业经济与管理,2008,204(10):75-80.
    178.骆永民,袁春瑛.我国公共安全与经济增长点空间计量实证分析[J].商业经济与管理,2007,194(12):46-51.
    179.史建平,高宇.KLR金融危机预警模型研究:对现阶段新兴市场国家金融危机的实证检验[J]. 数量经济技术经济研究,2009,3:107-117.
    180.沈丹英.1997-1999国际金融危机传播的空间计量经济学分析[D].华东师范大学硕士学位论文,2007.
    181.宋清华,陈全伟.论金融危机的国际传递机制[J].江汉论坛,2000(3):10-14.
    182.苏桔芳,胡日东.中国FDI区域分布决定因素的动态演变与地理溢出程度-基于空间面板数据的实证研究[J].经济地理,2008,28(1):16-20.
    183.孙晶晶.金融危机的国际传染性研究[D].青岛大学硕士学位论文,2007.
    184.王火根,沈利生.中国经济增长与能源消费空间面板分析[J].数量经济技术经济研究,2007,12:98-107.
    185.吴拥政.动态面板数据模型和空间滞后面板数据模型的比较——基于被解释变量时空依赖特征的“孪生性”分析[J].统计教育,2008,10:24-27.
    186.吴玉鸣.中国区域研发、知识溢出与创新的空间计量经济研究.[D].北京:人民出版社,2007.
    187.夏帆.国际直接投资在中国地区分布影响的实证研究[D].厦门大学博士学位论文,2006.
    188.夏帆.基于中国FDI的空间计量分析.商业经济与管理[J].2007,191(9):75-79.
    189.项云帆,王少平.基于空间panel data的中国区域人均GDP收敛分析[J].中国地质大学学报(社会科学版),2007,7(5):77-82.
    190.邢继军.世界金融危机[M].山东:山东大学出版社,2009.
    191.杨海生,周永章,王夕子.我国城市环境库兹涅茨曲线的空间计量检验[J].决策与统计,2008(10):43-46.
    192.杨星,金融创新[M].广州:广东经济出版社,2000.
    193.杨绪彪.美元本位制下美国金融危机的形成与国际传染机制研究[D].华东师范大学博士学位论文,2009.
    194.叶五一,缪柏其.基于Copula变点检测的美国次级债金融危机传染分析[J],中国管理科学,2009,17(3):2-7.
    195.应龙根.从自然空间到一般空间——理论方法与实践,中国GIS协会理论与方法研讨会.北京:2004.
    196.应龙根,宁越敏.空间数据:性质、影响和分析方法[J].地球科学进展,2004,20(1):49-56.
    197.张华,蒋难.国际金融监管的新变化与我国金融监管体制改革[J].财经问题研究,2008,10:24-28.
    198.张丽.金融危机传染机制及其对中国的启示[D],中国农业大学硕士学位论文,2005.
    199.詹向阳,樊志刚等.次贷风波启示录[M].北京:中国金融出版社,2008.
    200.张宇麟,柳锐.我国省级财政政策收敛研究:基于空间面板数据模型的分析[J].中央财经大学 学报.2008,4:19-23.
    201.张志波.金融危机传染与国家经济安全[M],上海社会科学院出版社,2007.
    202.张志波,齐中英.基于VAR模型的金融危机传染效应检验方法与实证分析[J].管理工程学报,2005,19(3):115-120.
    203.朱杰.中国外汇市场压力和中央银行的干预程度:一个经验分析[J].世界经济,2003,(6):14-23.

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