Our paper examines the potential effect of different types of entrepreneurship (in particular, early-stage entrepreneurship, opportunity-driven entrepreneurship, and necessity-driven entrepreneurship) on economic growth at a national level and aims to identify whether the contribution of entrepreneurship to economic growth differs according to the stage of economic development of a country. Our empirical analysis is based on the panel data, which covers 17 years (2002–2018) and 22 European countries, classified into two groups. The results suggest that all three types of entrepreneurship have a greater impact on economic growth for the entire sample of European countries, and some types of entrepreneurship are more important than others. We find that opportunity-driven entrepreneurship and early-stage entrepreneurship would be key factors in stimulating economic growth across the sample of European countries. Our estimations also show that opportunity-driven entrepreneurship would have a greater impact in transition countries, while necessity-driven entrepreneurship would have a stronger influence in the innovation-driven countries. The results of our research could be of interest to policymakers, as it can help in identifying and implementing the most appropriate measures to eliminate the obstacles in the macroeconomic environment that entrepreneurs face, and measures to support innovative entrepreneurial activities.
Entrepreneurship plays a major role in national economies, being considered one of the main engines of economic growth, and an important contributor to creating new jobs and innovations. Identifying the main determinants of entrepreneurial activity is important for helping the decision makers in adopting adequate measures to support the creation and development of new businesses. The turbulent economic environment in recent years dominated by economic and financial crises, resulting in a reduction in economic growth but also in an increase in unemployment, has led decision makers to turn their attention again to the determinant factors of entrepreneurship. Starting from those stated above, through this paper we aim to investigate the impact of some macroeconomic, individual and business environment-related factors on the dynamics of entrepreneurial activity in 18 European Union (EU) countries for a period of 14 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015). We use three regression models and we apply panel data fixed effect model approach. The results of our study highlight that inflation rate, foreign direct investments, access to finance and total tax rate are the main macroeconomic determinants of entrepreneurship. Also, we find that all individual business-related factors considered in the analysis have a significant impact on total entrepreneurship rate.
This paper analyses the main economic factors that are influencing the competitiveness of Central and Eastern European (C.E.E.) countries. The research was carried out on a sample of ten countries (Bulgaria,
To increase competitiveness, a country has to outperform its competitors in terms of research and innovation, entrepreneurship, competition, and education. In this paper, we aim to test the relationship between the quality of entrepreneurial activity and the economic competitiveness for the European Union countries by using panel data estimation techniques. Our research considers a sample of 28 EU countries over the period 2011–2017. For the empirical investigation we apply panel data regression models. The results obtained show that business, macroeconomic environment and the quality of entrepreneurship are significant determinants of economic competitiveness of EU countries. Thus, we identify significant positive relations between innovation rate, inflation rate, FDI and economic competitiveness, and significant negative relations between expectations regarding job creation, tax rate, costs and competitiveness. Our study completes the literature by analyzing the relationship between the quality of entrepreneurship and the competitiveness of countries, for an extensive sample formed by all the 28 countries members of the European Union for a period of seven recent years.
This study aims to highlight the role of access to finance as one of the determinants on the decision to enter into entrepreneurship of students regarded as potential entrepreneurs. For achieving our main objective, we created a questionnaire. As a method of analysis, we run the least square logistic regression, with entrepreneurial intentions as a dependent variable and knowledge, education and availability of financial resources as predictors. We also included gender, university and locality as control variables. The sample is formed of 181 students from two universities from the North-Eastern region of Romania. The results reveal that access to finance is a significant determinant of the decision to enter into entreprenenruship for young people. Moreover, we show that the relation between access to finance and entrepreneurial intentions changes according to gender, university and locality of origin. Female students’ entrepreneurial intentions are influenced by the availability of bank loans and personal savings, while in case of male students - only by the availability of funds coming from family and friends. The funds coming from family and friends also determine students' entrepreneurial intentions coming from rural or urban areas. Entrepreneurial intentions are negatively related to education for male students and those coming from an economic profile university, and positively related to business knowledge only for students from rural areas. The results obtained could be important for financial resources providers (because they offer insight into how easy access to finance stimulates the entrepreneurial intentions of youth), for education providers (who can adapt their training programs and extracurricular activities to strengthen entrepreneurial intentions), and for decision makers (which may adopt appropriate policies to stimulate the economic development of an area).
The aim of this study is to emphasize the link between the foreign direct investments (FDIs) and the sustainable environment in EU countries. We also focus on investigating the influence of other factors related to business environment on FDIs, considering the investors’ sustainable choice for the host countries, grouped according to FTSE Russell criteria. Using panel methodology and applying Ordinary Least Squares (OLS) method of data analysis, the authors reached the conclusion that a better-rated business environment, with concern for sustainability, has more of a chance to attract larger sums of FDIs, mostly in the case of developed economies. This fact proves that the main advantage considered by a foreign investor in developed EU countries is represented by CO2 emissions (sustainable environment) and a good ease of doing business environment. The study highlights the factors that influence the decision of investing in developed countries, rather than in emerging and frontier ones. This paper contributes to the existing literature by identifying the group of countries which need a more sustainable approach to attract a large amount of FDIs, given that the inflow of FDIs is a crucial factor of economic growth, a possible source of innovation and technology, and a way to reduce poverty.
Some of the constructs in the field of performance management are intuitive or not empirically validated. This study provides a data-driven framework for measuring and improving the performance through synchronized strategies. The ultimate goal was to provide support for increasing business performance. Empirical research materializes in an exploratory case study and a statistical analysis with econometric models. The case study revealed that a company can improve its performance, even in periods of growth, being characterized by consistent investments. The statistical analysis, performed on a restricted sample of companies, confirmed the results that were provided by the case study. The measurement of performance was made by capitalizing on financial and non-financial data precisely to intensify the interest for corporate sustainability. The obtained results, contrary to previous research that showed that economic value added (EVA) is negatively influenced by the increase in invested capital, open up new research perspectives to find out whether, at the industry level, performance appraisal that is based on EVA stimulates the development of a business’s economic capital. The research has a double utility: scientific (by providing an overview of the state of the art in the field of performance management) and practical (by providing a reference model for measuring and monitoring performance).
Purpose – the study has a dual purpose. First, to assess the impact of the most important determinants of financial performance, which have been measured through four generations of indicators. In addition, the study provides the first quantification of interdependencies between different financial performance measures: profit margin (PM), profit growth rate (PGR), return on assets (ROA), return on equity (ROE), and economic value added (EVA). Research methodology – the primary data was collected from the AMADEUS database. Empirical research was conducted on a relatively homogeneous sample from the automotive industry, using the panel data method for the period 2010–2019. Two models were tested. The first model highlights the relationships between performance measures and selected determinants. The second model highlights the relationship between the different performance measures and the determinants used in the first model. Findings – the determinants analysed have different influences on the selected performance measures. For example, in the first model, the results statistically significant indicated the following. The current ratio has a positive influence on ROA, but a negative one on ROE and EVA. Gearing has a negative influence on PM and ROA, but a positive one on EVA. The growth rate of sales has a positive influence on PM, but a negative one on ROA and EVA. The size of the company has a positive influence on three performance measures (PM, ROA, and EVA). Regarding the relationships between the different performance measures (second model), the research indicates that EVA is negatively influenced by PGR and ROA. In this model, the determinants analysed maintain their meaning and intensity of influences. Research limitations – the article has several limitations. The representativeness of the results is valuable only at the level of the researched industry. In addition, it should be noted that the analyses are focused only on financial performance, assessed by accounting measures. The authors are considering conducting comparative analyses at the level of fields/branches of activity to capture not only the impact of determinants on financial performance but also to assess organizational resilience. Practical implications – The research provides clues to managers and financial decision-makers to increase the financial performance of the companies they lead. Originality/value – the originality of the study lies in the presented methodological approach. Unlike previous research, which usually evaluated performance on only one indicator, this paper aims to assess the impact of the most important determinants on five performance measures. In addition, the analysis of the interdependencies between the different performance measures is another novelty of this research.
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