Spatially varying development mechanisms in the Greater Beijing Area: a geographically weighted regression investigation
By Danlin Yu. 2006
125 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/817100d6c0c719d4632bebd432046f6b93502942
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Citations in the corpus
- The spatial-temporal hierarchy of regional inequality of China (2010, methodology): “& Sun, 2008; Wei,1998, 2002; Yu & Wei, 2003) and attempted to develop new explanations for regional inequality by studying spatial autocorrelation (e.g., Wei & Ye, 2004; Yu, 2006; Yu & Wei, 2008).”
- Extreme Coefficients in Geographically Weighted Regression and Their Effects on Mapping (2009, unknown): “…McMillen, 1996; Fotheringham et al., 1998, 2002; Fotheringham and Brunsdon, 1999; Leung et al., 2000a, 2000b; Huang and Leung, 2002; Yu and Wu, 2004; Laffan et al., 2005; Cho et al., 2006, 2009a; Lambert et al., 2006; Yu, 2006, 2007; Deller and Lledo, 2007; Partridge and Rickman, 2007; Lo, 2008).”
- Spatial Data Analysis of Regional Development in Greater Beijing, China, in a GIS Environment (2008, background): “More recently, scholars have further improved the understanding of regional development in China by uncovering recent developments, further scaling down, and particularly, using more vigorous geographical methods (e.g., Ying 2003; Yu and Wei 2003; Ye and Wei 2005; Yu 2006).”
- BEYOND CONVERGENCE: SPACE, SCALE, AND REGIONAL INEQUALITY IN CHINA (2009, background): “…is also uneven within provinces, where new forms and clusters of regional development are emerging, from Greater Beijing in the North (e.g. Yu 2006), to Shanghai and Jiangsu and Zhejiang Provinces in the Southeast (Ma & Cui 2002; Wei & Ye 2004), to Guangdong Province in the South (Lin…”
- Regional Development in China: Transitional Institutions, Embedded Globalization, and Hybrid Economies (2007, unknown): “…spearhead the transformation and globalization of Beijing, with four emerging themes: attracting foreign investment, building a world-class central business district (CBD), constructing Zhongguancun as “China’s Silicon Valley,” and preparing for the 2008 Olympic Games (Wei and Yu, 2006).”
- Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010, methodology): “( 2002 ), and Yu ( 2006 ) have all applied the GWR or GWR-similar methodology to housing markets.”
- Modeling spatial variations of urban growth patterns in Chinese cities: The case of Nanjing (2009, unknown): “While reform and growth have pulled millions of people in the countryside out of poverty and made China a growth engine of the global economy, the rise of China and rapid urbanization are accompanied by the disappearance of rural agricultural land, spa- ∗ Corresponding author.”