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The paper aims to investigate factors that drive the total factor productivity (TFP) and its growth in the Czech food industry over 2003–2017. The authors’ analysis focuses on firm-level characteristics such as location choice, sub-sector affiliation, use of debt, liquidity, asset turnover, firm size and firm age.

The determinants of productivity were tested econometrically by estimation of multivariate regression models. The firm-level panel data set consisted of 14,488 observations (data of 980 firms spanning 15 years). TFP was estimated by three regression-based techniques – ordinary least squares (OLS) regression, instrumental variables (IV) approach and two-way generalized method of moments (GMM) regression. All three measures of TFP were used as outcome variables to estimate the impact of firm-level determinants on both TFP level and growth.

The results have shown statistically significant and reversed U-shaped relationship between the firm age and the TFP level (with a turning point in the age of 12.5 years). However, the dynamic models investigating the TFP growth have found that younger firms achieve higher productivity growth in comparison with older ones. Higher market share and assets turnover were positively associated with both TFP level and its growth.

This study brings several relevant propositions for future research. First, the authors recommend future researchers to study not only differences in the levels of productivity but also determinants of its growth. Second, the authors believe that adding a non-linear component to age as a factor explaining changes in the levels of productivity might be a very relevant contribution to the literature.

Although it is generally accepted that successful and sustainable growth of firms, regions and economies can be achieved particularly through viable companies with high productivity, there is still a limited number of firm-level studies explaining the determinants of productivity levels and growth in agribusiness sectors in transition economies. Therefore, this study is expected to contribute to a better understanding of this important topic.

This research extends the knowledge on the less-frequently explored outcomes of entrepreneurial endeavour. The study provides unique insights into the overall satisfaction of entrepreneurs with their life, job and financial situation, as well as perceived economic self-sufficiency and income. The obtained findings represent a specific group of Czech self-employed individuals who started their businesses while unemployed, with the help of public financial assistance.

The presented contribution is based on a primary survey among those individuals (N = 128), conducted in 2022 and triangulated by insights from informal interviews with the respondents and earlier empirical evidence.

The main findings document that most of the surveyed entrepreneurs are overall satisfied with their lives and jobs, their incomes are above the minimum wage and, despite the challenges faced, they mainly benefit from autonomy associated with this career choice. The multivariate ordered logistic regression results highlight the significance of several previously identified variables, such as gender, health status, formal education, entrepreneurial self-efficacy and family situation, that influence the studied outcomes and provide opportunities and challenges for ongoing research.

The conducted study acknowledges the need to consider the whole picture of entrepreneurship success. Therefore, it provided insights into the monetary and non-monetary outcomes of the specific type of entrepreneurship.

Since introducing the UK start-up loan (SUL) Scheme in 2012, 82,809 new start-ups have been supported with loans totalling £759m. Even during the Covid-19 crisis, new business start-ups supported by SUL did not abate. The authors ask whether the entrepreneurs starting businesses during the Covid-19 crisis were different from those becoming entrepreneurs before the pandemic. This paper aims to discuss the aforementioned question.

The authors model the differences between pre-Covid-19 business start-ups and Covid-19 start-ups. The administrative data obtained from the UK Government Department for Business, Energy and Industrial Strategy (BEIS) represent information about individual loan records for 82,798 individuals and total lending of £759m between 2012 and 2021. The probit regression model with dependent variable coded one if the start occurred after February 2020 and zero between 2012 and February 2020, was estimated.

The study’s findings show that both groups of entrepreneurs differ in many facets. The new Covid-19 entrepreneurs are older, more likely to have a graduate-level education and are significantly more likely to make this transition from full-time waged employment or inactivity. Furthermore, they are more likely to set up in manufacturing industries at the business level than their pre-Covid-19 counterparts who favoured service sectors. Finally, their initial lending to support the start-up is much higher.

This study provides value for the policymakers responsible for the administration of the SUL scheme, and it also contributes to the body of knowledge on the effects of the global Covid-19 pandemic.

The objective of the study is to identify and explore factors affecting the productivity of companies in the Czech Republic with a focus on the role of firm size, firm age, indebtedness and long-term negative equity, efficiency of assets usage, liquidity, legal form, location and sector affiliation.

The study utilizes a large unbalanced panel dataset of 91,257 firms (548,998 observations in total) covering the period 2000–2019. The dependent variable, i.e. total factor productivity (TFP), reflecting the overall firm productivity, was estimated by ordinary least squares (OLS) regression. The main findings were obtained through the estimation of two econometric models explaining the effects of factors on firm-level TFP. First, the OLS regressions together with Nomenclature of Territorial Units for Statistics (NUTS) 3 regions, year dummies and robust standard errors were estimated. Second, as a robustness check, the very same model was estimated with the random effects (RE) generalized least squares (GLS) method.

The analysis has shown a statistically significant U-shaped relationship (with the turning point of 38, resp. 36 years) between firm age and the overall TFP among the Czech enterprises. The authors provide two key findings in terms of a firm size-productivity relationship. Firms with fewer employees, often officially registered as self-employed individuals/freelancers, report higher levels of productivity. Nevertheless, when it comes to firm property (assets), the authors find a positive relationship between firm size and TFP. A high proportion of debts in the capital structure of analysed companies, or even negative equity, has been negatively associated with TFP levels.

More research is needed in the deeper exploration of sectoral and regional determinants of firm TFP, as both regional and sectoral heterogeneity were observed in the study. The authors propose the employment of a multi-level modelling approach, including a range of continuous variables and investigation of their role in shaping firm-level productivity.

Concerning the results, managers should be mindful of optimal capital structure principles due to the negative impact of a high level of debts on the productivity level. High indebtedness means high-interest payments drawing earnings off, which may be, especially in the long term, a hindrance to investments. The entrepreneurship and small- and medium-sized enterprise policies may be targeted at the soft policy actions, including advisory services and counselling on business development or risk and on the provision of financial capital allowing firms to strive for growth-oriented projects.

To the best of the authors' knowledge, this is the first attempt to provide insight into the firm-level productivity determinants, based on the large dataset covering enterprises across the whole economy over the long term, representing the structure of the country's entrepreneurial activity.

This study focusses on dependent self-employment, which covers a situation where a person works for the same employer as a typical worker whilst on a self-employment contractual basis, i.e. without a traditional employment contract and without certain rights granted to “regular” employees.

The research exploits the individual-level dataset of 35 European countries extracted from the 2017 edition of the European Labour Force Survey (EU LFS) and compares the characteristics of employees and dependent self-employed individuals. Methodologically, the study relies on the estimation of a multivariate logistic regression model.

The main hypothesis assuming that dependent self-employed work most often in low-skilled occupations was empirically supported. There was also a non-linear (u-shaped) relationship between the years of accumulated experience (with a turning point at 35 years) and the likelihood of being dependent self-employed. Other results showed that dependent self-employed are less likely to be women and the dependent self-employed are more likely born outside of the countries where the dependent self-employed participate in the labour markets.

The study contributes to the field by adopting a comparable definition of dependent self-employment and exploiting the recent theoretical support of The Work Precarity Framework. The phenomenon should still be addressed by policymakers and labour office representatives, aiming to protect, primarily, vulnerable lower-skilled workers. The ongoing research should study the longitudinal dimension of dependent self-employment with a focus on motivational aspects.

The purpose of the present study is to empirically investigate the impact of the newly established entrepreneurial activity on economic development of the Czech NUTS 3 regions during the period of years 2003-2015.

An econometric approach was used to validate the stated hypotheses assuming a positive relationship between the new entrepreneurial activity and regional economic growth and a negative relationship between the new entrepreneurial activity and unemployment rate. For the methods, regression models with fixed effects were estimated on the panel that included 13 Czech regions, covering the period of years 2003-2015. The new entrepreneurial activity was classified into two forms – rate of newly established self-employed set-ups per capita and rate of newly established business companies and partnership set-ups per capita.

Different impacts of newly established business companies and the self-employed were found on real gross domestic product (GDP) per capita. Only the higher rates of newly established business companies and partnership were associated with higher levels of GDP per capita in the Czech regions, and no impact was found for the rate of new self-employed set-ups. Nevertheless, both forms of newly established entrepreneurial activity were associated with lower unemployment rates in the Czech regions; however, the impact of newly established business companies was significantly higher. The obtained results have several policy implications, which are discussed in the present paper.

Support of entrepreneurship in the Czech regions may improve the situation on the local labour markets and may deliver new job opportunities through the newly established enterprises. The Czech entrepreneurship policies focused on the growth of GDP and economic boom should be oriented more on the support of high-growth enterprises (unicorns).

The empirical analysis was conducted on the basis of the research gap in the studies related to the impact of the newly established entrepreneurial activity on the economic development of the Czech regions. Obtained results have several policy implications, which are discussed in the present paper.

Even in established economies, empirical studies on the relationship between business incubation and firm performance do not show unequivocally positive results. The purpose of this paper is to contribute to this debate based on the empirical evidence from the under-researched Central and Eastern European region in which no similar study has been conducted before. Due to the shorter experience with the management of business incubators and less developed institutions, business incubators may not be so effective in supporting their tenants in this region.

The authors utilise firm-level data from incubated Czech enterprises (n=205) founded after 2003 and compare them with those that have not received support from incubators. The authors implement three matching techniques to pair incubated and non-incubated companies. The outcome variables measured sales, price-cost margin, assets turnover, value added, size of total assets and size of personnel costs.

Compared to the control group, incubated firms reported on average lower values of the above-mentioned indicators. Presented study shows that Czech incubators have not been successful in supporting growth of incubated firms.

The study suggests that there is a clear room for improvements. Incubators should improve in attracting and selecting high potentials and in providing more effective support focussed on tenants’ growth, whereas policymakers should exercise stricter control regarding the money spent and effectiveness of incubators.

The empirical analysis was conducted based on the research gap in the studies related to the impact of business incubation in the under-researched Central and Eastern European region. It also shows that positive results from similar studies done in established economies cannot be taken for granted as they depend on the quality of institutions in a particular country.

The purpose of this paper is to analyse the determinants of entrepreneurial activity in the Nordic countries over the period of years 2004-2013 to provide supportive material for the Nordic entrepreneurial policy makers with specific focus on the role of necessity/opportunity-driven entrepreneurship, administrative barriers and the research and development (R&D) sector.

Quantitative study employed panel regression analysis with fixed effects estimator to test the impact of determinants on entrepreneurial activity operationalized as a rate of registered business activity and as an established business ownership rate.

The results obtained for the both dependent variables did not substantially differ from each other or the supported hypothesis stating a positive relationship between unemployment rate, GDP per capita and entrepreneurial activity. Also a negative impact of administrative barriers was found. However, no statistically significant positive impact of the R&D sector was observed.

Nordic entrepreneurial policy makers should put more effort into the reduction of administrative barriers towards founding enterprises and support entrepreneurship during the times of higher unemployment rates. Further evaluation of Nordic R&D policies is strongly needed, since no positive impacts towards entrepreneurship were found.

The empirical analysis was conducted based on the research gap in the studies related to the Nordic entrepreneurial policies and perceived need for the policy recommendations that are provided.

This study aims to extend the existing body of literature on the individual-level determinants of self-employed persons with (employer entrepreneurs) and without employees (solo self-employed individuals) from the perspective of four post-communist economies (i.e. Czech Republic, Hungary, Poland and Slovakia).

The methodological approach is based on the three harmonised waves (2005, 2010 and 2015) of the European Survey on Working Conditions (EWCS). Multi-variate logistic regression models are used to determine the individual-level differences among employees, solo self-employed individuals and job creators in the selected group of countries.

The results show significant differences among employees, solo self-employed individuals and job creators, especially when it comes to the role of age, gender, education, previous experience, number of working hours and their determination. Job creators in Visegrád countries have, on average, more years of experience, and higher levels of education (tertiary), than wage-employees.

This study provides a series of recommendations for future research on the role of family- and household-related characteristics, entrepreneurship-specific education and migration background.

The previous research on individual determinants of entrepreneurial engagement in Visegrád region was mainly based on the data from the Global Entrepreneurship Monitor. This study offers a novel perspective based on the EWCS data.