G2TT
来源类型Discussion paper
规范类型论文
来源IDDP4125
DP4125 Information Variables for Monetary Policy in a Small Structural Model of the Euro Area
Francesco Lippi; Stefano Neri
发表日期2003-12-23
出版年2003
语种英语
摘要Geography shapes economic outcomes in a major way. This Paper uses spatial empirical methods to detect and analyse trade patterns in a historical dataset 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.
主题International Trade and Regional Economics
关键词Geography Spatial autocorrelation Spatial econometrics 18th century china Trade Transport costs River transport Coastal transport R40
URLhttps://cepr.org/publications/dp4125
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/533100
推荐引用方式
GB/T 7714
Francesco Lippi,Stefano Neri. DP4125 Information Variables for Monetary Policy in a Small Structural Model of the Euro Area. 2003.
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