Predicting Achievement of Selected Sustainable Development Goals
|Author:||Bc. Léon Kamenický|
|Year:||2019 - winter|
|Leaders:|| doc. Ing. Tomáš Cahlík CSc.
|Work type:|| Bachelors
|Awards and prizes:|
|Abstract:||The aim of this thesis is through using the appropriate tools of econometric
analysis to identify some of the variables having impact on the development,
whether positively or negatively, on selected Sustainable Development Goals.
They became part of the agenda in United Nations back in 2015. As the
sample used for the analysis contains observations on around 170 countries
in a time period from 2000 till 2016, the panel data approach for econometric modeling is the most suitable to rely on. There are plenty econometric
studies focused on analyzing the SGDs through cross-sectional examples,
however only few of them are looking at them from a global perspective.
The main findings of the analysis do not include only statistically significant
explanatory variables identified. Supported by a concrete example, there is
an evidence that some of the goals require more focus on proper data collecting on their corresponding indicator. This turns some of them to be hardly
measurable and the simple tools of econometric analysis become inapplicable. Finally, Slovakia, a country in the European Union, which does not
fulfill any of the selected targets is part of the last section before conclusion.
It includes a discussion about whether the significant explanatory variables
identified in the core analysis are also behind the non-attainment of these
targets in the cross-sectional example.