Suchergebnisse

AbstractEmpirical evidence related to the effectivity and outcomes of the self-employment programmes in the Central and Eastern Europe is still very rare, despite the important role of entrepreneurship in the economic development of post-communist economies. The main purpose of this study was to empirically investigate the impact of self-employment subsidy for unemployed in the Czech NUTS 3 regions for the period of years 2012–2015 to provide policy makers supportive material useful for policy adjustments. The study applies quantitative research framework, which is based on the construction of econometric models. Estimated regression models with region fixed effects supported the negative association between the amount of supported self-employed and unemployment rates in the Czech regions. This finding is theoretically framed by the theory of necessity entrepreneurship. Positive spillover of the programme ('a double dividend'), was econometrically tested on the regional employment rates. Obtained estimates found that there is a positive contemporaneous relationship (weakly significant) between the number of supported self-employed and the employment rates but not in the lag. Analysis of the costs revealed that the costs of self-employment programme are not that high, if one takes into account the alternative costs of unemployment benefits paid to the unemployed and social insurance paid back to the state by the newly established self-employed. Therefore, this tool of active labour market policy has a potential of wider usage. Nevertheless, the applied empirical strategy was based on the regional level and has its limitations. Provided results need to be interpreted cautiously, without any causal inference, because the true outcomes of the programme could be analysed only on the level of supported individuals. Future research should therefore challenge the effectiveness of the start-up subsidy programmes in the Czech Republic on the level of individuals, with focus on the survival rates of subsidized businesses and incomes of their formerly unemployed owners.

PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThe 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 issue of the size of public administration is commonly researched. Most of the times this topic is tackled from a macroeconomic perspective, considering local and central administration together. That is why this paper uniquely takes on the local perspective only, analysing the size of local government (i.e. size of public administration at the local level) in Polish regions during the period of 2009–2013. Based on the existing literature, we chose five variables of the size of local administration at the commune level connected with employment and reflecting costs related to the functioning of local administration structures. All indicators were expressed per capita. With the usage of ANOVA, we proved significant differences in the size of public administration across regions for all variables. To compare the size of local governments across regions, we ranked all variables individually, and then we calculated the average ranking for all variables. Our findings have clear implications for policy makers, providing information about the regions with the biggest/smallest size of public administration at the local level. Our study suggests simple and accessible tool for continuous reporting on the size of public administration in order to monitor costs also in the upcoming years. The results of the monitoring could also be used for the establishment of an incentive program for regional policy representatives.

1. Beyond coworking: from flexible to hybrid spaces -- 2. The coworking phenomenon - an organisational revolution or a continuous evolution? -- 3. Coworking Spaces for Public Administration -- 4. The evolution of coworking spaces in Milan and Prague: spatial patterns, diffusion and urban change -- 5. Corporate Coworking - A Catalyst for Collaboration, Creativity and Innovation -- 6. Coworking vs corpoworking: a realistic perspective -- 7. Coworking Spaces in Small Cities and Rural Areas. A Qualitative Study from an Operator and User Perspective -- 8. Coworking's Cooperation Paradox. On the Role of Stigmergic Curation -- 9. Mediation matters: the role of staff in coworking constitution -- 10. Experiencing collaborative spaces: Evidence from social media -- 11. The Emergence of the Digital Nomad. A Review and Analysis of the Opportunities and Risks of Digital Nomadism -- 12. Workations and their impact on the local area in Japan -- 13. Digital Nomadism as a New Flexible Working Approach: Making Tirana the Next European Hotspot for Digital Nomads.

AbstractThe Trivers–Willard Hypothesis (TWH) states that parents in good conditions bias the sex ratio towards sons and parents in poor conditions bias the sex ratio towards daughters. This study used data from a large nationwide population dataset (N=1,401,851) from the Czech Republic – a modern contemporary society. The study included air pollution and property prices in the TWH estimation, and had a more detailed focus on stillbirths than previous studies. Using official natality microdata from the Czech Statistical Office for years between 1992 and 2010 and data on levels of air pollution in the country over the same period, the study assessed whether the biological and socioeconomic status of mothers and environmental factors affected the sex of children. The results were largely insignificant and not robust across specifications. The presented epidemiological evidence suggests that stillbirths are randomly distributed in the Czech Republic and that the sex ratio is not affected by the socioeconomic status of mothers or by environmental characteristics.

Abstract
The study contributes to underdeveloped knowledge on effects of SME policies in Central and Eastern Europe. We evaluate two Czech credit guarantee schemes funded from EU funds during years 2007–2013. We conduct micro-econometric firm-level impact evaluation based on propensity score matching approach. We estimate average treatment effect on the treated (ATET) for six financial outcome variables (total assets, tangible fixed assets, personnel costs, sales, price-cost-margin and return on assets) measuring firm´s competitiveness. Two years after the programme, no statistically conclusive results were obtained for the most of the outcome variables. We found only a positive change in tangible fixed assets for the programme participants. However, we cannot say, that the supported firms would be better off, compared to those non-supported in a short-term. Our analysis shows that without reliable data gathered by public sector authorities, no rigorous evaluations can be made and thus no evidence driven policies can be formed.

The banking sector must confront challenges arising from globalization, the demand for new business models (BMs), increasing regulation, and ever-advancing digitalization. In this context, innovative competitors, namely FinTechs, are challenging banks and forcing them to rethink existing strategies and structures. In particular, the digital transformation of BMs that have been in place for decades represents a major challenge for companies and their executives. In this article, 407 German bank representatives were surveyed to identify, quantify, and analyze implementation barriers in the context of bank digitalization from a decision-maker's perspective. By applying structural equation modeling, the authors quantified a variety of barriers and tested their influence on the degree of digitalization at banks. The study uncovered structural relationships between barriers expressed as observed variables— personal involvement, strategic corporate management, technology and regulation, and employees—and the degree of digitalization as a latent variable of banks. The findings increase bank practitioners' understanding and awareness of barriers to digitalization and contribute to the field of bank digitalization. JEL Classification: G21, M1, O33