1、 12CGL 059 11YJC 630130 2012 JDPY 02 1981 E-mail liujia_lemon 1 Moran s I LISA 31 F590 A LIUJia 1 2 ZHAOJin-jin 1 2 ZHANGGuang-hai 1 2 1 . Management College Ocean University of China Qingdao 266071 Shandong China 2. Ocean Development Research Institute Ocean University of China Qingdao 266071 Shan
2、dong China Based on the research perspective of spatial econometrics, The paper uses the global spatial autocorrelation Morans I index, and local indicators of spatial association, to investigate spatial correlation of tourism industry agglomeration and tourism economic growth about 31 provincial ar
3、eas in Chinese mainland, it constructs a spatial econometric model of tourism industry agglomeration and regional tourism economic growth, to analyze theoretically andtestempiricallytherelationshipbetweentourismindustryagglomerationandtourismeconomicgrowthofChina.The research shows that, the develop
4、ment of tourism industry in China has been accompanied by the process of spatial agglomeration; tourism economic growth has the significant and positive spatial correlation, and it forms a gathering area of tourism economic activities in the eastern region; Meanwhile, tourism industry agglomeration
5、has significant and positive impact on regional tourism economic growth, and it performs remarkable spatial spillover effects, so it causes spatialinequalityoftourismeconomicgrowth. tourismindustryagglomeration;tourismeconomicgrowth;spatialautocorrelation;spatialeconometricmodel 33 4 Vol. 33 No. 4 2
6、013 4 ECONOMIC GEOGRAP HY Apr. 2013 DOI:10.15957/ki.jjdl.2013.04.031 2 1990 Krugman 3 - 4 Philippe Martin 5 Baldwin Richard E. Philippe Mar tin 6 7 GeoDa 8 9 30 10 Moran s I LISA 1 19 . 85% Gini 2000 2010 31 | | 1 G n G 0 1 G 1 31 0 0.1 0.2 0.3 0.4 0.5 0.6 2000 2001 2002 2003 2004 2005 2006 2007 200
7、8 2009 2010 年份 Gini 2000 2005 2010 2 2 Moran s I W= w ij n m i j i j w = 1 w = 0 0 Moran s I ( ) ( ) ( ) 2 x s 0 1 % Moran s I - 1 1 I 0 1 0 - 1 0 Moran s I Z ( I ) Z ( I ) 3 E ( I ) SD( I ) 5% - 1. 96 Z ( I ) 1. 96 31 Moran s I 2010 Moran s I 0. 4543 permutation: 999 E ( I ) =- 0. 0333 SD ( I ) = 0
8、. 1184 Mean=- 0 . 0303 Z ( I ) 4 . 1182 0. 05 1 . 96 2000 2010 Moran s I 0. 34 0. 46 5% 0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 年份 全局空间自相关系数 Local Indica tors of Spatial Association LISA Moran s I Moran 2. 2. 1 Local Moran I i i Global Morans I 4 x i i 2. 2. 2 Moran i z i i
