Korruption utmålas av biståndsorgan som ett av de största hoten mot ett lands utveckling. Detär inte endast ett problem i sig självt, utan korruption genererar även andra samhällsproblem.Detta gör att anti-korruptionsarbete är på agendan för många biståndsgivare, då ett lyckatresultat kan leda till förbättringar inom många områden. I teorin låter det som att länder medhög korruption bör få hjälp att stävja denna, men är det så i praktiken? Denna studieundersöker hur mottagarländernas korruptionsnivå påverkar biståndet de mottar, genom enfixed effects-regression av paneldata över 79 länder för åren 2005 till 2016. Resultaten visaringen statistisk signifikant effekt av mottagarländernas korruptionsnivå på dess bistånd.Däremot går det att säkerställa att korruptionsnivån påverkar Sveriges bilaterala bistånd.

Economic growth in a country can be explained by numerous variables, both positive and negative. Increasing levels of education, investment and openness are examples of factors generally believed to have positive effects on the economic progress, while corruption is one of the factors often regarded as detrimental to economic growth. The purpose of this thesis is to measure and analyze if the levels of perceived corruption in a cross-section of countries have affected their economic growth rates over the years 2004-2008. The study is carried out with four regressions on a sample of 123 countries and eight variables for the time period in question. The models are constructed on the basis of both the neoclassical growth theory and the endogenous growth theory. The found result contradicts the expected outcome; it shows that the perceived levels of corruption are significantly and positively correlated with economic growth. It is however found that countries with widespread corruption, in general developing countries, have experienced high economic growth over these years. A correlation the authors argue can explain the unexpected sign of the corruption variable.

This master thesis is dealing with development and application of a model that employs fuzzy logic. The model is used to support a decision of a selected Czech company that plans to invest abroad and establish a subsidiary. Selected indicators determine an investment risk in all countries considered for the investment. The model was implemented in parallel in two systems: MS Excel and MATLAB®.