%0 Journal Article
%T The Crowding out Effect of China¡¯s Real Estate Price Rise on Processing Trade
%A Yan Xiao
%A Xinyi Yuan
%J Open Journal of Business and Management
%P 2594-2613
%@ 2329-3292
%D 2022
%I Scientific Research Publishing
%R 10.4236/ojbm.2022.105129
%X In view of the central government¡¯s proposal that ¡°The
house is used for living, not for speculation¡±, the rising market of China¡¯s
real estate market has been flattened. However, the reflection on the impact of
China¡¯s real estate investment on the real economy cannot be ignored. Through
the econometric regression model, this paper analyzes the impact of China¡¯s
real estate prices on processing trade by using random and double fixed
effects. The results show that: there is a
strong correlation between housing prices and processing trade; there is
a significant inverted U-shaped relationship between house prices and
processing trade, and the corresponding inflection point prices of the negative
impact of house prices on processing trade are calculated; and the impact of
house prices on processing trade in the east, the middle and the west is
significant. The crowding out effect of housing prices on processing trade in
the east is the most significant, followed by the west, and finally in the
central region. Therefore, the central region has formed a good low-lying land effect of processing trade transfer. The high quality destination of processing trade should be the
central region. A deep understanding of the impact of housing prices on
processing trade and employment driven by processing trade is of great
significance for maintaining and consolidating the traditional advantages of
China¡¯s processing trade and promoting the development of the central and
Western sub regions.
%K Real Estate
%K Crowding out Effect
%K Wealth Effect
%K Inverted U-Shaped Distribution
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=119973