The Origins of Spatial Interaction

Geography shapes economic outcomes in a major way. This paper uses spatial empirical methods to detect and analyze trade patterns in a historical data set on Chinese rice prices. Our results suggest that spatial features were important for the expansion of interregional trade. Geography dictates, first, over what distances trade was possible in different regions, because the costs of ship transport were considerably below those for land transport. Spatial features also influence the direction in which a trading network is expanding. Moreover, our analysis captures the impact of new trade routes both within and outside the trading areas. We also discuss the long-run implications this might have.

[1]  Douglass C. North,et al.  The rise of the western world , 1976 .

[2]  H. Simpson,et al.  Spatial cluster empirics , 2003 .

[3]  Harry H. Kelejian,et al.  Spatial autocorrelation: A new computationally simple test with an application to per capita county police expenditures , 1992 .

[4]  W. Keller,et al.  Market Integration and Economic Development: A Long-Run Comparison , 2004 .

[5]  Luc Anselin,et al.  Spatial Dependence in Linear Regression Models with an Introduction to Spatial Econometrics , 1995 .

[6]  W. Newey,et al.  A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelationconsistent Covariance Matrix , 1986 .

[7]  R. Haining.  Spatial Data Analysis in the Social and Environmental Sciences , 1990 .

[8]  Luc Anselin,et al.  Under the hood , 2002 .

[9]  Paul Krugman,et al.  History versus Expectations , 1991 .

[10]  Anil K. Bera,et al.  Simple diagnostic tests for spatial dependence , 1996 .

[11]  Harry H. Kelejian,et al.  On the asymptotic distribution of the Moran I test statistic with applications , 2001 .

[12]  H. L. Le Roy,et al.  Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV , 1969 .

[13]  Joel Mokyr,et al.  The Lever of Riches: Technological Creativity and Economic Progress , 1991 .

[14]  Timothy G. Conley.  GMM estimation with cross sectional dependence , 1999 .

[15]  Attila Varga,et al.  Local Geographic Spillovers between University Research and High Technology Innovations , 1997 .

[16]  J. Keith Ord,et al.  Spatial Processes Models and Applications , 1981 .

[17]  C. Engel,et al.  How Wide is the Border? , 1994 .

[18]  Badi H. Baltagi,et al.  DOUBLE LENGTH ARTIFICIAL REGRESSIONS FOR TESTING SPATIAL DEPENDENCE , 2001 .

[19]  A. Greif.  Reputation and Coalitions in Medieval Trade: Evidence on the Maghribi Traders , 1989, The Journal of Economic History.

[20]  Han-sheng Chʿüan,et al.  Mid-Ch'ing Rice Markets and Trade: An Essay in Price History , 1975 .

[21]  James E. Rauch.  Business and Social Networks in International Trade , 2001 .

[22]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[23]  Carol H. Shiue.  Transport Costs and the Geography of Arbitrage in Eighteenth-Century China , 2002 .

[24]  P. Moran.  Notes on continuous stochastic phenomena. , 1950, Biometrika.

[25]  L. Anselin.  Spatial Econometrics: Methods and Models , 1988 .

[26]  Carl W. Condit,et al.  Nature's Metropolis: Chicago and the Great West , 1991 .

[27]  James E. Anderson,et al.  Trade Costs , 2004 .

[28]  M. Slaughter.  Does trade liberalization converge factor prices? Evidence from the antebellum transportation revolution , 2001 .

[29]  H. White.  A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[30]  Robert Haining,et al.  Statistics for spatial data: by Noel Cressie, 1991, John Wiley & Sons, New York, 900 p., ISBN 0-471-84336-9, US $89.95 , 1993 .

[31]  R. Perlman.  Theory of trade , 1972 .

[32]  Jeffrey G. Williamson,et al.  Globalization and history : the evolution of anineteenth-century Atlantic economy , 2000 .

[33]  Carol H. Shiue.  Local Granaries and Central Government Disaster Relief: Moral Hazard and Intergovernmental Finance in Eighteenth- and Nineteenth-Century China , 2004 .

[34]  N. Oden,et al.  Adjusting Moran's I for population density. , 1995, Statistics in medicine.

[35]  Danny Quah,et al.  Spatial Agglomeration Dynamics , 2002 .

[36]  P. J. Huber.  The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .

[37]  O. Williamson.  The New Institutional Economics: Taking Stock, Looking Ahead , 2000 .

[38]  Christopher Miller,et al.  Guns, Germs, and Steel. The Fate of Human Societies , 2002 .

[39]  J. Durbin,et al.  Testing for serial correlation in least squares regression. II. , 1950, Biometrika.

[40]  A. Case.  Spatial Patterns in Household Demand , 1991 .

[41]  R. Geary,et al.  The Contiguity Ratio and Statistical Mapping , 1954 .

[42]  J. Diamond.  Guns, Germs, and Steel: The Fates of Human Societies , 1999 .

[43]  Dwight H. Perkins,et al.  Agricultural development in China, 1368-1968 , 1969 .

[44]  S. Shapiro,et al.  An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[45]  Víctor Gómez,et al.  Program TRAMO 'Time Series Regression with Arima Noise, Missing Observations, and Outliers'. Instructions for the User , 1994 .

[46]  B. Ohlin,et al.  Heckscher-Ohlin Trade Theory , 1991 .

[47]  Gordon H. Hanson.  Scale Economies and the Geographic Concentration of Industry , 2000 .

[48]  J. Richardson,et al.  Income Inequality and Trade: How to Think, What to Conclude , 1995 .

[49]  Alan M. Taylor,et al.  Factor Price Convergence in the Late Nineteenth Century , 1996 .