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Spatial Pattern of Subsidies from the Structural Funds: The Case of Czech Municipalities
Pumprlová, Magda ; Šťastná, Lenka (advisor) ; Švarcová, Natálie (referee)
The thesis aims to uncover spatial patterns of subsidies from the European Union funds while focusing on the 2007-2013 programming period in the Czech Republic. We take into account demographic, economic and political charac- teristics of municipalities with the extended power to determine their relevance on the size of the obtained subsidy. Furthermore, subsidies may be clustered in the space due to some common regional characteristics that cannot be easily measured, or due to cooperation/competitiveness of the municipalities. Our results from the models estimated by the Ordinary Least Squares sug- gest that municipality's population, the number of businesses, the debt of pre- vious periods, and the mayor's affiliation to the political party are significant in explaining the size of the subsidy. Based on following tests, Moran's I and Lagrange Multiplier test, we incorporate the spatial models estimated by the Maximum Likelihood Estimator. We find that the subsidies managed by the regional council disperse across the given region, indicating a hidden common characteristic or regional council's endogenous interventions. JEL Classification C21, H54, H77, R11, R58 Keywords spatial allocation, European Funds, Cohesion, local government, Czech Republic Author's e-mail pumprlovamagda@gmail.com Supervisor's...
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Spatial Pattern of Subsidies from the Structural Funds: The Case of Czech Municipalities
Pumprlová, Magda ; Šťastná, Lenka (advisor) ; Švarcová, Natálie (referee)
The thesis aims to uncover spatial patterns of subsidies from the European Union funds while focusing on the 2007-2013 programming period in the Czech Republic. We take into account demographic, economic and political charac- teristics of municipalities with the extended power to determine their relevance on the size of the obtained subsidy. Furthermore, subsidies may be clustered in the space due to some common regional characteristics that cannot be easily measured, or due to cooperation/competitiveness of the municipalities. Our results from the models estimated by the Ordinary Least Squares sug- gest that municipality's population, the number of businesses, the debt of pre- vious periods, and the mayor's affiliation to the political party are significant in explaining the size of the subsidy. Based on following tests, Moran's I and Lagrange Multiplier test, we incorporate the spatial models estimated by the Maximum Likelihood Estimator. We find that the subsidies managed by the regional council disperse across the given region, indicating a hidden common characteristic or regional council's endogenous interventions. JEL Classification C21, H54, H77, R11, R58 Keywords spatial allocation, European Funds, Cohesion, local government, Czech Republic Author's e-mail pumprlovamagda@gmail.com Supervisor's...
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Impact of Structural Funds on municipalities: Empirical study on wastewater treatment and collection
Pumprlová, Magda ; Soudek, Jan (advisor) ; Skuhrovec, Jiří (referee)
This thesis analyzes the effect of Structural Funds from European Union on municipalities' financial results. It focuses on grants concerning waste water treatment's projects in the Czech Republic and the size of municipalities co-financing these grants. The aim is to determine the difference in financial results of municipalities using the grant and the others, followed by numeration of the difference by municipalities' own resources. To compare the municipalities, we use difference in differences approach. The OLS regression is used for estimate the effect of own resources. The results show that size of municipalities' co-financing, usually mentioned as 10%, is in fact in average 35%. There exists a large significant difference in financial results comparing pre- treatment and post-treatment period in municipalities building waste water treatment project financed from Structural Funds. It is also significantly determined by the amount of own resources. JEL Classification C21, H76, R51 Keywords Structural Funds, Operational Program Environment, waste water treatment, municipalities, deficit Author's e-mail pumprlova@centrum.cz Supervisor's e-mail honza.soudek@gmail.com
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