Measuring the spillover effects: Some Chinese evidence
By L. Ying. 2000
128 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/fb639f4dc35748cd6fc3cbb4203f3d8e4dd1bed8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- F. Liao
- Yehua Dennis Wei
- Sandy Dall'erba
- Anping Chen
- Fatih Celebioglu
- Mark D. Partridge
- L. Ying
- Xinyue Ye
Citations in the corpus
- When are Cities Engines of Growth in China? Spread and Backwash Effects across the Urban Hierarchy (2013, background): “One partial exception is Y ing (2000) , who applies ‘exploratory spatial data analysis’ and concludes that Guangdong province is the core of China's growth with significant spillover effects to other provinces.”
- Understanding China’s recent growth experience: A spatial econometric perspective (2003, background): “Based on decentralization and an explicit regional policy, this reform has brought about a spatial restructuring that has finally resulted in a highly differentiated pattern of regional development ( Ying 1999, 2000 ).”
- Spatial disparities across the regions of Turkey: an exploratory spatial data analysis (2010, background): “Ying (2000) investigates the case of China, Magalhaes et al. (2005) are interested in the Brazilian regions, Manfred et al. (2001) and Jensen et al. (2006) care about Austria and Chile, respectively, while van Oort and Atzema (2004) focus on the municipalities in the Netherlands.”
- Dynamics, Space, and Regional Inequality in Provincial China: A Case Study of Guangdong Province (2012, background): “Spatial dependence, scale and hierarchy are all important for a better understanding of the complexity of regional inequality in China (Ke, 2010; Li & Wei, 2010a; Ying, 2000; Yu & Wei, 2003).”
- Regional disparities in the European Union and the enlargement process: an exploratory spatial data analysis, 1995–2000 (2006, unknown): “Rey and Montouri(1999) applythese spatial tools to USState data on per capita income throughout the period 1929–1994, and Ying Long (2000) analyzes growth rates of production in the Chinese provinces since the late seventies using ESDA.”
- Distribution of regional income and regional funds in Europe 1989–1999: An exploratory spatial data analysis (2005, methodology): “These tools have been applied to regional convergence in the United-States (Rey and Montouri 1999; Rey 2001), in Europe (Fingleton 1999 2001; Baumont et al. 2002; Bivand and Brunstad 2002), in China ( Ying 2000 ), in Brazil (Magalha˜ es et al. 2000), in Chile (Aroca et al. 2000) and Turkey (Gezici a”