Perception of Commercial Risk at Exporting to China
Keywords:China, Commercial Risk, Export, Exporting Companies, Kruskal-Wallis Test
AbstractPurpose of the article: The general conception of risk associated with the international trade and risk classification bear the same patterns, however, as far as the commercial risk is involved, the particular definition of commercial risk is lacking. This paper aims to provide the results of primary research on the commercial risks for export to the People’s Republic of China (China). China and its mutual trade balance with the Czech Republic confirm its position not only in the Czech exporting strategy, but also globally, on the world market. Methodology/methods: Data from the primary research were obtained by questionnaire survey and by semistructured interview. Data were statistically analyzed using the Kruskal-Wallis test and the Wilcoxon test. Furthermore, the content analysis was used to evaluate the interview. Scientific aim: The scientific aim of the article was to present statistical data analysis of primary research focused on perception of commercial risk at exporting to China. Statistically validated data are important in order to determine the probability distribution of commercial risk, which will be the basis for a statistical model evaluation of commercial risks for the Czech exporting companies to China. The results of this research article will be used for future creating a model commercial risk evaluation. Findings: The obtained data were divided into groups according to the sizes of subjects. These groups were statistically tested and evaluated. It can be stated that only in the group of medium-sized enterprises have been identified substantial differences in the perception of commercial risk according these results. Conclusions: Statistical analysis demonstrated that the data obtained from a group of large and all companies show the same distribution function for all selections. Therefore, these data can draw conclusions and use them to build a statistical model of commercial risks evaluation.
ORIGINAL SCIENTIFIC ARTICLE