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The Political Economy of EU-funds: Evidence from Poland

  • Monika Banaszewska and Ivo Bischoff EMAIL logo

Abstract

We provide an empirical study analysing the distribution of EU funds among 2478 Polish municipalities in the period 2007–2011. EU funds are found to be concentrated in smaller municipalities and economically weak sub-regions, and do not increase in the municipalities’ fiscal capacity. Our primary focus rests on the question whether regional governments follow their own political self-interest when allocating EU funds even though national parties only play a minor role in Polish local politics and thus the conventional logic of supporting aligned governments does not apply. Difference-in-difference estimations show that the answer is affirmative: Municipalities whose voters are aligned with the regional government receive more EU funds per capita than non-aligned municipalities. Furthermore, we find support for the swing-district hypothesis: EU funds per capita decrease in the vote-share differential between the two leading parties.

JEL Classification: D72; H77

Acknowledgements

We thank Igor Asanov, Thushyanthan Baskaran, Christian Bergholz, Kai Gehring, Małgorzata M. Hybka, the participants of ZEW 2016 Public Finance Conference, as well as the editors of the special issue and two anonymous reviewers for their helpful comments. We also thank Mirosław Lech Bogdanowicz from National Electoral Commission who made election data available for us.

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A Descriptive statistics and correlation matrix

B Background data on Polish municipalities

Box A.1

Tasks of Polish municipalities

1)Spatial order, real estate management, environmental protection, nature conservation, water management
2)Municipal roads, streets, bridges, squares and traffic organization
3)Water supply, sewerage, disposal and waste water treatment, maintenance of cleanliness, sanitary facilities and landfills, disposal of municipal waste, supply of electricity, heat and gas
4)Activities in the field of telecommunications
5)Local public transport
6)Health care
7)Social assistance, including welfare institutions
8)Support to families and foster care system
9)Municipal housing
10)Public education
11)Culture, including municipal libraries and other cultural institutions and the protection of monuments
12)Physical culture and tourism, including recreational areas and sports facilities
13)Marketplaces and market halls
14)Municipal greenery and shelterbelts
15)Municipal cemeteries
16)Public order and safety, fire and flood protection, including maintenance of flood storage
17)Maintenance of municipal buildings, public facilities and administrative buildings
18)Pro-family policy, including the provision of social, medical and legal assistance to pregnant women
19)Supporting and promoting the idea of self-government, including the creation of conditions for the operation and development of auxiliary units and implementation of programs to stimulate civic activity
20)Promotion of municipality
21)Co-operation with and activities in favor of non-governmental organizations

C Regressions to test the common-trend assumption

The regressions below are run to test whether municipalities with regional-municipal-alignment (hereafter aligned) are subject to a significantly different trend than those without this alignment. Column (1) and (3) compare the trend for 2007–2009 for aligned municipalities that became non-aligned in 2010 or 2011 to the trend for municipalities that are always aligned. The interaction term between (always aligned) and trend is far from significant. Column (2) and (4) compare the trend for initially unaligned municipalities that become aligned later to the trend of municipalities that are never aligned. Again, the interaction between (never aligned) and trend is far from significant. Finally, column (5) and (6) provide a comparison in trend for municipalities that were always aligned to those that were never aligned. The interaction between (always aligned) and trend is not significant. Given the short period of time of only three periods, we use a linear trend (except for column (6)). The dependent variable is the same as in Tables 4 and 5. It is important to note that Table 4 provides estimates with municipality-specific time trends that provide additional support for the notion that the results reported in Table 4 are not jeopardized by the violation of the common-trend assumption.

(1)(2)(3)(4)(5)(6)
YEARS2007–20092007–20092007–20092007–20092007–20112007–2011
Trend (linear)0.822***0.869***0.686***0.698***0.696***0.354***
(0.129)(0.132)(0.0602)(0.0601)(0.0222)(0.0506)
Trend (squared)0.0813***
(0.0113)
Never aligned−0.169−0.158
(0.422)(0.134)
Never aligned × Trend−0.128
(0.131)
Always aligned−0.07850.261***0.249**
(0.195)(0.101)(0.0991)
Always aligned ×Trend−0.0338−0.0324−0.0442−0.0393
(0.0639)(0.0640)(0.0321)(0.0319)
Constant2.527***2.337***2.691***2.614***2.353***2.559***
(0.417)(0.0488)(0.181)(0.0509)(0.0675)(0.0700)
Municipal FENoYesNoYesNoNo
Observations3,2063,2063,8513,8516,1386,138
R-squared0.4010.4010.3910.3910.3930.400
Number of code7587588538531,4031,403
  1. Robust standard errors in parentheses

  2. p<0.01, **p<0.05, *p<0.1


Article note

This article is part of the special issue “Fiscal Equalization in Europe” published in the Journal of Economics and Statistics. Access to further articles of this special issue can be obtained at https://www.degruyter.com/view/j/jbnst.2017.237.issue-3/issue-files/jbnst.2017.237.issue-3.xml.



Code and Datasets

The author(s) published code and data associated with this article in the ZBW Journal Data Archive, a storage platform for datasets. See: https://doi.org/10.15456/jbnst.2017255.184029.


Published Online: 2017-07-06
Published in Print: 2017-09-26

© 2017 Oldenbourg Wissenschaftsverlag GmbH, Published by De Gruyter Oldenbourg, Berlin/Boston

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