DETERMINANTS OF EXPORT ENTREPRENEURSHIP DEVELOPMENT: A COMPREHENSIVE ANALYSIS OF THEIR HETEROGENEOUS IMPACT

Abstract

The article aims to analyse current trends in the export entrepreneurship sphere. The main objective of the study is to identify a possible relationship between the attained level of export performance achieved in different countries and various institutional and other determinants. The article provides a concise theoretical overview and bibliometric analysis of publications, highlighting promising directions for the promotion of export entrepreneurship and identifying key factors influencing its effectiveness. To achieve the study՚s objective, data are used on the time to export a single cargo, the number of procedures to register a new business, the creditworthiness of countries, GDP per capita, the share of natural resource rents in GDP, the efficiency of government institutions, the share of urban population in the total population, and the average years of education. The specified parameters have been collected for the period from 2006 to 2020. To analyse the nature of the influence of the selected determinants, a sample of 135 countries with different levels of population income was compiled. Statistical data processing was carried out using the software tools EViews 13 and Stata/MP 14.2. Initially, a series of econometric tests were used to check the panel data for multicollinearity, variable stationarity, and their cointegration. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) methods were then used to estimate the statistically significant long-term relationship between the variables. As a result, a pool of significant factors of institutional and other factors has been identified that determine the effectiveness of export entrepreneurship in the country. The results obtained allow for a more comprehensive justification of measures to support the development of export business activities.

Keywords

• export
• entrepreneurship
• risk
• uncertainty
• institutional factors
• state regulation
• bibliometric analysis
• modelling