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Bayesian Estimation of Spatial Externalities Using Regional Production Function: The Case of China and Japan

机译:基于区域生产函数的空间外部性贝叶斯估计 - 以中日两国为例

摘要

This paper used regional panel data for Chinese provinces from 1979 to 2003, and for Japanese prefectures from 1955 to 1998, to estimate the spatial externalities (or spatial multiplier effects) using a production function and Bayesian methodology, and to investigate the long-run behavior of the spatial externalities of each country. According to the estimation results, China's spatial externalities increased its domestic production significantly after 1994, which tended to increase until 2003. Before 1993, however, its spatial externalities were not significant. Japan's spatial externalities showed fluctuating values throughout the sample period. Furthermore, the movement of the spatial externalities was correlated with Japan's business conditions: the externalities showed a high value in the economic boom, and a low value in the economic depression. This could mean that spatial externalities depend mainly on business conditions.
机译:本文使用了1979年至2003年中国各省和1955年至1998年日本各省的区域面板数据,通过生产函数和贝叶斯方法估算了空间外部性(或空间乘数效应),并研究了长期行为每个国家的空间外部性。根据估算结果,中国的空间外部性在1994年之后显着增加了国内生产,直到2003年才有增加的趋势。但是,在1993年之前,其空间外部性并不显着。日本的空间外部性在整个样本期内显示出波动的值。此外,空间外部性的变化与日本的商业状况有关:外部性在经济繁荣中显示出较高的价值,而在经济萧条中显示出较低的价值。这可能意味着空间外部性主要取决于业务条件。

著录项

  • 作者

    Hashiguchi Yoshihiro;

  • 作者单位
  • 年度 2009
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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