A spatial autocorrelation study on the international tourism (foreign exchange) earnings of the provincial domain region in China
ZHANG Junmou1,2, ZHOU Xiaowei1*, LI Beibei1,3, JIAO Beibei1
(1 School of International Business, Shaanxi Normal University, Xi′an 710119, Shaanxi, China; 2 School of Tourism, Lanzhou University of Arts and Science, Lanzhou 730000, Gansu, China；3 School of Economics, Xi′an University of Finance and Economics, Xi′an 710061, Shaanxi, China)
Abstract:
Taking the international tourism(foreign exchange) earnings of 31 provincial domain region in China from 2004 to 2013 as the study object, the time serious international tourism(foreign exchange) earnings′s spatial autocorrelation relationship between Moran′s I and local Moran′s I of provincial domain were analyzed. The results indicate that the average association degree for the Moran′s I appears lower-level positive correlation, it means the homogeneous characteristics in the different provincial domain international tourism(foreign exchange) earnings are not significant.In the local spatial, the low-low spatial autocorrelation agglomeration pattern is distributed in northeast, northwest,north China and southwest. High-high spatial autocorrelation agglomeration pattern is mainly distributed in southeast coast of China. Low-high spatial autocorrelation agglomeration pattern is mainly distributed in central China.Beijing, Tianjin, Liaoning, Yunnan are the high-low spatial autocorrelation agglomeration regions, and they have negative spatial correlation with the surrounding provincial domain regions.
KeyWords:
tourism; international tourism (foreign exchange) earnings; spatial autocorrelation; Moran′s I
