2011
DOI: 10.1080/13501763.2011.599972
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The cash divide: the allocation of European Union regional grants

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Cited by 39 publications
(60 citation statements)
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“…First, our county-level analysis reflects vote-buying patterns more accurately than previous studies that have focused on the determinants of SIF allocations across more aggregated NUTS 1 or 2 regions. Second, in contrast to the existing literature on SIF appropriations across NUTS 1 and 2 regions (e.g., Kemmerling and Bodenstein, 2006;Bouvet and Dall'erba, 2010;Bodenstein and Kemmerling, 2011;Dellmuth, 2011;Chalmers, 2013), we examine actual cash flows. This is a central contribution since budgetary commitments to regions and actual payments in regions may vary considerably (Dellmuth, 2011).…”
Section: Introductionmentioning
confidence: 99%
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“…First, our county-level analysis reflects vote-buying patterns more accurately than previous studies that have focused on the determinants of SIF allocations across more aggregated NUTS 1 or 2 regions. Second, in contrast to the existing literature on SIF appropriations across NUTS 1 and 2 regions (e.g., Kemmerling and Bodenstein, 2006;Bouvet and Dall'erba, 2010;Bodenstein and Kemmerling, 2011;Dellmuth, 2011;Chalmers, 2013), we examine actual cash flows. This is a central contribution since budgetary commitments to regions and actual payments in regions may vary considerably (Dellmuth, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Second, in contrast to the existing literature on SIF appropriations across NUTS 1 and 2 regions (e.g., Kemmerling and Bodenstein, 2006;Bouvet and Dall'erba, 2010;Bodenstein and Kemmerling, 2011;Dellmuth, 2011;Chalmers, 2013), we examine actual cash flows. This is a central contribution since budgetary commitments to regions and actual payments in regions may vary considerably (Dellmuth, 2011). Third, while existing contributions on county-level SIF allocations are single-country studies (Dellmuth and Stoffel, 2012;Schraff, 2014), our comparative cross-national design enables us to analyze, for the first time, the roles of political institutions in shaping the distribution of SIF across counties.…”
Section: Introductionmentioning
confidence: 99%
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