Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980–1995
By J. Le Gallo, Cem Ertur. 2003
198 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/5f5fc9cea37eafa024401ee92105314bcd3c00ce
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In Economics and Econometrics
- Yehua Dennis Wei
- Sandy Dall'erba
- Xinyue Ye
- J. Le Gallo
- Kevin K. F. Wong
- Yang Yang
- Tobias Hagen
- P. Mohl
Citations in the corpus
- Do EU structural funds promote regional growth? New evidence from various panel data approaches☆ (2010, methodology): “We follow the approach by Le Gallo and Ertur (2003) and Ertur and Koch (2006) and use a weight matrix consisting of the k-nearest neighbours computed from the distance between the centroids of the NUTS regions.6 This weight matrix is purely based on geographical distance, which has the big…”
- The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter? (2006, background): “Second, the geographical distribution of European economic disparities, studied by López-Bazo et al. (1999) and Le Gallo and Ertur (2003), shows a permanent polarization pattern between rich regions in the North and poor regions in the South.”
- Regional disparities in the European Union and the enlargement process: an exploratory spatial data analysis, 1995–2000 (2006, unknown): “Armstrong (1995), López-Bazo et al. (1999, 2004) and Le Gallo and Ertur (2003) also apply these spatial tools to European regional data on per capita GDP and growth rates and reach analogous conclusions.”
- Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999 (2004, background): “Inference in this case is further complicated by the problem of multiple comparisons since the neighborhood sets of two spatial units contain common elements (Le Gallo and Ertur 2003; Anselin 1995; Ord and Getis 1995).”
- BEYOND CONVERGENCE: SPACE, SCALE, AND REGIONAL INEQUALITY IN CHINA (2009, methodology): “The development of GIS and spatial analysis has provided powerful tools to uncover the impact of spatial association and spatial heterogeneity on regional inequality (e.g. Rey & Montouri 1999; Le Gallo & Ertur 2003; Yu & Wei 2003; Ertur et al. 2006).”
- Spatial Data Analysis of Regional Development in Greater Beijing, China, in a GIS Environment (2008, methodology): “As argued by Le Gallo and Ertur (2003), spatial effects become salient on finer scales.”
- Regional Convergence And The Impact Of European Structural Funds Over 1989-1999: A Spatial Econometric Analysis (2008, background): “Whereas spatial concentration of economic activities in European regions has already been documented (Lopez-Bazo et al., 1999, Le Gallo and Ertur, 2003; Dall’erba, 2003b), few β-convergence studies take into account spatial interdependence between regions7.”
- Distribution of regional income and regional funds in Europe 1989–1999: An exploratory spatial data analysis (2005, methodology): “Le Gallo and Ertur (2003) reached the same conclusions for 138 European regions over 1980–1995.”
- Regional Development in China: Transitional Institutions, Embedded Globalization, and Hybrid Economies (2007, unknown): “Third, recent development in spatial analysis techniques has advanced methodological rigor, and enabled researchers to reveal complex spatial phenomena and mechanisms (e.g., Rey and Montouri, 1999; Le Gallo and Ertur, 2003).”
- Spatial Distribution of Tourist Flows to China's Cities (2013, methodology): “The results are considered to be robust if a city with the significant LISA statistic remains in the same LISA category, no matter which spatial weighting matrix is selected (Le Gallo & Ertur 2003).”
- A spatially filtered mixture of β-convergence regressions for EU regions, 1980–2002 (2008, background): “, 1999, Le Gallo and Ertur, 2003). Ertur et al. (2006) treated spatial problems in the context of club convergence.”