Funding Challenges of Small and Medium Enterprises in Transition Countries: Kosovo Case Study
SMEs play a very important role in the development of economies of different countries and they are now considered as a key factor of economic development. They affect unemployment, promote social welfare and can be treated as a promoter of economic growth. The paper addresses the role and importance of financing SMEs in transition countries including Kosovo. The study examines the key factors affecting the increase of SME financing from external sources, namely bank lending since other external sources of financing in Kosovo are scarce and almost non-existent. For the purposes of this paper, data from 215 SMEs surveyed in Kosovo were used, randomly distributed across manufacturing, services and commerce sectors. Data collection was done in the period January-April 2016, and their processing was carried out with SPSS (Social Package for Social Science). In order to have more consistent information during data processing, certain models were used in the paper: Paried-Samples T Test, which was used to investigate the difference between two sets of averages, which indicates that the business plan for the enterprise is relevant to bank loan access. The One Way Anova model was used to test the differences between two or more averages, and through this model is proved that high-profit enterprises have achieved easier access to bank loans. Also following the One Way Anova and Post Hoc LSD test, there were found differences between groups of enterprise by their types, activity and age. The research shows that enterprises with older ages have been able to obtain more easily bank loans. The One Way Anova and Welch-Brown-Forthyse test was used to deal with the level of education of business owners, whereby it was found that owners with a high level of education had easier access to bank loans. Through the Indepedent Samples T Test technique it was found that there is a significant difference between the age groups of the owners based on the mean and standard deviation.
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