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The effect of EU Structural Funds on regional performance
Název práce v češtině: Vliv strukturálních fondů Evropské unie na regionální rozvoj
Název v anglickém jazyce: The effect of EU Structural Funds on regional performance
Klíčová slova: Evropská unie, regionální politika, Cíl 1, regression discontinuity design
Klíčová slova anglicky: the European Union, regional policy, the Objective 1, regression discontinuity design
Akademický rok vypsání: 2016/2017
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Institut ekonomických studií (23-IES)
Vedoucí / školitel: prof. Petr Janský, Ph.D.
Řešitel: skrytý - zadáno vedoucím/školitelem
Datum přihlášení: 04.04.2017
Datum zadání: 15.07.2017
Datum a čas obhajoby: 19.06.2019 09:00
Místo konání obhajoby: Opletalova - Opletalova 26, O314, Opletalova - místn. č. 314
Datum odevzdání elektronické podoby:09.05.2019
Datum proběhlé obhajoby: 19.06.2019
Oponenti: prof. Ing. Oldřich Dědek, CSc.
 
 
 
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Seznam odborné literatury
BECKER, Sascha O.; EGGER, Peter H.; VON EHRLICH, Maximilian. 2010. Going NUTS: The effect of EU Structural Funds on regional performance. Journal of Public Economics, 94.9: 578-590.

BECKER, Sascha O.; EGGER, Peter H.; VON EHRLICH, Maximilian. 2012. Too much of a good thing? On the growth effects of the EU’s regional policy. European Economic Review, 56, 648668.

BECKER, Sascha O.; EGGER, Peter H.; VON EHRLICH, Maximilian. 2016. Effects of EU Regional Policy. Warwick Economics Research Paper Series, No. 1118.

CUARESMA, Jesús Crespo; DOPPELHOFER, Gernot; FELDKIRCHER, Martin. 2008. The determinants of economic growth in European regions. Regional Studies, 48.1: 44-67.

IMBENS, Guido W.; LEMIEUX, Thomas. 2008. The regression discontinuity design — theory and applications. Special Issue, Journal of Econometrics 142, no. 2: 611-614.

LEE, David S.; LEMIEUX, Thomas. 2010. Regression discontinuity designs in economics. Journal of economic literature, 48.2: 281-355.

MOHL, Philipp; HAGEN, Tobias. 2011. Do EU structural funds promote regional growth? Evidence from various panel data approaches.

PELLEGRINI, Guido, et al. 2013. Measuring the effects of European Regional Policy on economic growth: A regression discontinuity approach. Papers in Regional Science, 92.1: 217-233.
Předběžná náplň práce v anglickém jazyce
Regional policy of the EU is a policy focusing on the boost of the economic growth and on dealing with regional disparities. The Structural Funds and the Cohesion Fund, the main financial tools of the regional policy, support less developed regions using almost a third of the whole EU budget. The main objectives of the regional policy are Convergence, Regional Competitiveness and Employment, and European Territorial Cooperation. About 82% of the regional policy funding is concentrated on the Objective 1 (Convergence) to help regions whose GDP per capita is less than 75% of the EU average to revive.

Growing expenditures spent on narrowing of disparities between regions have attracted many researchers over last 20 years. Interestingly current surveys present different methods with different results. One possible explanation of these contradictions could be complicated separation of causal effect of Objective 1 treatment and other factors. Fortunately, modern approaches deal with this problem and present convincing results. Mohl and Hagen (2008) found positive but statistically insignificant impact on regional growth using a generalized propensity score estimator. Becker et al. (2012) also used the method of GPS but they came with a positive significant effect. A method of the Fuzzy Regression Discontinuity (FRD) design was used by Becker et. al (2010) resulting in higher GDP per capita growth of treated regions by about 1.6% while the employment effects have not been confirmed. Pellegrini et al. (2013) also found a positive impact on regional GDP per capita growth (0.6-0.9%) using a method of the Sharp Regression Discontinuity (SRD) design. The recent research published by Becker et al. (2016) contains also the last programming period 2007-2013 using only limited application of the method.

Most of aforementioned researches cover periods up to 2006. The aim of this thesis is to extend the analysis by another programming period 2007-2013 and to try to improve the analysis by parametric and non-parametric estimation with adjusting various characteristics of the model.

Hypothesis #1: The cohesion policy of the EU has a positive impact on the economic growth of regions.
Hypothesis #2: The cohesion policy of the EU has a positive impact on employment growth of regions (using an improved model).
 
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