DOES THE POPULATION SIZE HAVE AN IMPACT Sample Clauses

DOES THE POPULATION SIZE HAVE AN IMPACT. ON THE CONDITIONAL GRANTS PER CAPITA? The third hypothesis concerned the impact of the population size on the conditional grants per capita since literature has shown that bigger cities tend to receive more conditional grants. First, a closer look was taken on the correlation between the two metric variables and the correlation appeared to be positive and significant. Subsequently, the linear regression from section 4.2.1 was repeated but in this case only the municipalities with 30000 inhabitants or more were included. The results were quite remarkable, since the model appeared to be a lot stronger than when applied on all 308 Flemish municipalities. Model 1 with only the home town variables, managed to explain 26,2% of the total variance and was a good fit for the data, while Model 2, with the addition of the control variables, explained 38,9% of the total variance. Even stronger results were noticed in 2013 (53,9%). Based on the R² Change value, Model 1, unlike in section 4.2.1, seemed to explain more than Model 2. The independent variables do thus explain more than the control variables when it comes to the conditional grants of municipalities with 30000 or more inhabitants. When a closer look was taken at the estimated model coefficients, the home town variable for sp.a. remained significant in both Model 1 and Model 2, thus the conclusion can be made that the effect of a minister is present in larger cities. Furthermore, also the political control variables appeared to be significant contributors to the regression model. In 2012, the variables sp.a. in the local government and VLD in the local government appeared to be significant while in 2013 CD&V in the local government appeared to be significant. Concerning the socio-demographic control variables, the tariff additional personal income tax and unemployment rate appeared to be significant contributors once again. To conclude, the master’s thesis does seem to notice different outcomes when the model is applied on all 308 Flemish municipalities compared to the larger cities (more than 30000 inhabitants). This is also confirmed by the fact that solely in the analysis for the larger cities the home bias variables appeared to be significant contributors to the model, even after the adding the various control variables.
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