There is a consensus among researchers that one of the most important effects of the recent economic downturn that started in 2009—also known as the Great Recession—in Spain has been rising income inequality. In this context, researchers are concerned about the effects of inequality on the economy, and this concern is even more marked now, when the world is facing a new crisis that seems the equal of, or even more devastating than the last Great Recession as a consequence of Covid-19. Nevertheless, there is a lack of studies which consider the effects of inequality on entrepreneurship. This paper aims to contribute to a deeper understanding of the relationship between inequality and entrepreneurship in the context of an economic downturn. We focus on the 17 autonomous communities in Spain during the Great Recession (2007–2013). Using unbalanced panel data, we study the effect on entrepreneurial activity, differentiating between total, necessity- and opportunity-driven entrepreneurship. The contribution of this paper is twofold. First, our results offer new empirical evidence concerning the relationship between growing inequality and entrepreneurial activity, showing significant differences from results in the existing literature. Second, we explain how, in a recessionary context of highly restricted financial resources, inequality can negatively affect total, necessity- and opportunity-based entrepreneurship, preventing a large part of the population from engaging in this activity.
The objective of this article is to determine, as conclusively as possible, if the implementation of a Universal Basic Income (UBI) would lead to a significant reduction in the working age population labour supply. If this were true, implementation of a UBI may not be sustainable. To do this, we will compile empirical evidence from studies over the last few decades on the effects of implementation of a UBI on employment. We apply the PRISMA methodology to better judge their validity, which ensures maximum reliability of the results by avoiding biases and making the work reproducible. Given that the methodologies used in these studies are diverse, they are reviewed to contextualize the results taking into account the possible limitations detected in these methodologies. While many authors have been writing about this issue citing experiences or experiments, the added value of this article is that it performs a systematic review following a widely tested scientific methodology. Over 1200 documents that discuss the UBI/employment relationship have been reviewed. We found a total of 50 empirical cases, of which 18 were selected, and 38 studies with contrasted empirical evidence on this relationship. The results speak for themselves: Despite a detailed search, we have not found any evidence of a significant reduction in labour supply. Instead, we found evidence that labour supply increases globally among adults, men and women, young and old, and the existence of some insignificant and functional reductions to the system such as a decrease in workers from the following categories: Children, the elderly, the sick, those with disabilities, women with young children to look after, or young people who continued studying. These reductions do not reduce the overall supply since it is largely offset by increased supply from other members of the community.
No abstract
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.