Bayesian estimation of spatial externalities using regional production function: the case of China and Japan
AbstractThis 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 correlate mainly with business conditions.
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Bibliographic InfoArticle provided by AccessEcon in its journal Economics Bulletin.
Volume (Year): 30 (2010)
Issue (Month): 1 ()
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Spatial externalities; Bayesian estimation; Production function;
Other versions of this item:
- Hashiguchi, Yoshihiro, 2009. "Bayesian Estimation of Spatial Externalities Using Regional Production Function: The Case of China and Japan," MPRA Paper 17902, University Library of Munich, Germany.
- R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
- O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
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