Spatially varying development mechanisms in the Greater Beijing Area: a geographically weighted regression investigation

被引:83
作者
Yu, DL [1 ]
机构
[1] Montclair State Univ, Dept Earth & Environm Studies, Montclair, NJ 07043 USA
关键词
D O I
10.1007/s00168-005-0038-2
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study aims to extend the understanding of regional development mechanisms in China. This study investigates spatial non-stationarity in China's regional development mechanisms by applying geographically weighted techniques on spatial datasets in the Greater Beijing Area, China. The analyses reveal two results: first, regional development mechanisms in the Greater Beijing Area show significant spatial non-stationarity; and second, development mechanisms have strong local characteristics; this study hence complements the current literature in China's regional development studies. The study demonstrates the importance of local spatial modeling techniques in regional development research.
引用
收藏
页码:173 / 190
页数:18
相关论文
共 47 条
[1]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[2]  
[Anonymous], 1997, Red capitalism in South China: growth and development of the Pearl River Delta
[3]  
Anselin L., 2001, A Companion to Theoretical Econometrics, P310
[4]  
Bailey TC., 1995, Interactive spatial data analysis, V413
[5]  
Barro R., 2003, EC GROWTH
[6]  
BARRO RJ, 1991, BROOKINGS PAP ECO AC, P107
[7]   CONVERGENCE [J].
BARRO, RJ ;
SALAIMARTIN, X .
JOURNAL OF POLITICAL ECONOMY, 1992, 100 (02) :223-251
[8]  
Brent RP., 1973, ALGORITHMS MINIMIZAT
[9]   Some notes on parametric significance tests for geographically weighted regression [J].
Brunsdon, C ;
Fotheringham, AS ;
Charlton, M .
JOURNAL OF REGIONAL SCIENCE, 1999, 39 (03) :497-524
[10]   Geographically weighted regression: A method for exploring spatial nonstationarity [J].
Brunsdon, C ;
Fotheringham, AS ;
Charlton, ME .
GEOGRAPHICAL ANALYSIS, 1996, 28 (04) :281-298