2011
DOI: 10.2139/ssrn.1763267
|View full text |Cite
|
Sign up to set email alerts
|

Can Regional Transfers Buy Public Support? Evidence from EU Structural Policy

Abstract: Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar.Dis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

7
33
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 19 publications
(40 citation statements)
references
References 33 publications
7
33
0
Order By: Relevance
“…Hence, we need to control for regions' wealth when assessing the role of Cohesion Policy. This is measured by the per capita amount of Structural Fund expenditures in the period 2007–2013 that is mostly allocated to less developed regions and could reinforce the idea of solidarity and care for others within Europe, and the citizen's support to the EU (Capello & Perucca, ; Osterloh, ). However, its effect can be influenced by the local context of implementation of Cohesion Policy at regional level (Capello & Perucca, ).…”
Section: Data Descriptionmentioning
confidence: 99%
“…Hence, we need to control for regions' wealth when assessing the role of Cohesion Policy. This is measured by the per capita amount of Structural Fund expenditures in the period 2007–2013 that is mostly allocated to less developed regions and could reinforce the idea of solidarity and care for others within Europe, and the citizen's support to the EU (Capello & Perucca, ; Osterloh, ). However, its effect can be influenced by the local context of implementation of Cohesion Policy at regional level (Capello & Perucca, ).…”
Section: Data Descriptionmentioning
confidence: 99%
“…However, the impact of Cohesion Policy on the citizens' views of the EU remains unclear and contested. Duch and Taylor () argued that regional funding did not translate into increased support for European integration, with the poorer regions receiving more funding staying less “euro‐enthusiastic.” That said, other studies pointed to positive effects of Cohesion Policy spending funds on public support for the EU, however, these were mediated by the degree of awareness of the EU funding, which in turn was related to the level of education (Osterloh, ). Whereas others found no direct link between the size of European Regional Development Fund allocation and EU support, and that the effect of this funding was at best conditional upon pre‐existing views on the EU and education levels (Chalmers & Dellmuth, ).…”
Section: Introductionmentioning
confidence: 98%
“…The fact that the distribution of the CP funds among the EU regions for the period 2007–2013 was decided several years before the PERCEIVE survey was carried out and, therefore, well before the perception of the policy and support for the EU were measured, works in favour of the exogeneity of log ( SFpc ) r . For this assumption to hold, it is also crucial that the criteria used to allocate the funds in the different countries and regions were based on objective rules (the relative level of per capita GDP in the region) that did not include the degree of support for the EU of their citizens and/or their perception of the CP (see Osterloh, and Dellmuth & Chalmers, for similar arguments). Likewise, the evidence in Bouvet and Dall'Erba () confirms that Euroscepticism and the citizens' attitudes towards the EU do not exert a significant effect on the distribution of structural funds across countries and regions.…”
Section: Empirical Modelmentioning
confidence: 99%
“…A mixed‐effect model that accounts for this type of correlation in the errors has been considered in previous studies (e.g., Verhaegen et al, ). Alternatively, the robust region‐clustered standard errors of the estimated coefficients can be computed to account for this correlation, in the context of the bivariate probit model (e.g., Osterloh, ; Serricchio et al, ). In this study we have opted for the latter option.…”
Section: Empirical Modelmentioning
confidence: 99%