ABSTRACT
The complementary currency Zielony (PLZ) is an example of an economic experiment, operating in Poland since 2015. It is also a new type of economic tool that supports the local economy and influences the creation of sustainable local developments. However, this impact is not direct, as it is realised through a network of micro, small and medium-sized enterprises operating in the local economy, which, among other things, create jobs relevant to the economic prosperity of the region and the life of the local community. The main objective of this article is to demonstrate the relationship between the use of the complementary currency Zielony in Poland by the entities that create the system of this currency and its impact on the economy, in particular on the local sustainable development in the pre-pandemic and pandemic period of Covid-19. The main research problem is formulated in the form of a question: "What are the benefits and opportunities for the economic entities of the local economy as a result of their accession to the complementary currency Zielony system?” The article adopts the following thesis: "The complementary currency Zielony in Poland positively influences the functioning of the local economy and the economic entities that belong to the system and promotes the creation of conditions that are important for sustainable local development. However, it works best when it is not disrupted by administrative barriers and lockdowns, like those that appeared in Poland during the Covid-19 pandemic.” The analysis carried out proved the validity of the thesis and allowed to solve the main problem. The study used the method of critical literature analysis and analysis of statistical data from 2015–2021. [ABSTRACT FROM AUTHOR] Copyright of Technological and Economic Development of Economy is the property of Vilnius Gediminas Technical University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
ABSTRACT
Intense and frequent changes increase uncertainty and complexity in decision-making. The COVID-19 pandemic exacerbates this situation. Therefore, the decision-maker seeks to reduce risks and meet these challenges. The manuscript aims to identify cause-effect relationships between variables affecting countries and changes caused by the COVID-19 pandemic and propose an algorithm to facilitate decision-making by identifying forgotten effects. The authors use thematic analysis to synthesize the semi-systematic literature review findings. The applied research uses a quantitative approach through modeling and simulation. The results highlight that the pandemic effects are associated with causes such as health care, political and economic stability, social justice, and the level of corruption. Decision-makers must prioritize the management of these variables guided by science. The main contribution is to show an algorithm that identifies forgotten effects in pandemics' socio-economic and health management, preventing future crises. In addition, the study advances the frontier of knowledge by addressing identified gaps and contributes to academia and policy makers. The most critical limitation is the number of variables included in this research. Future investigations could include analyses on the impact of climate change and sustainable development of nations and country-specific studies on the forgotten effects of the COVID-19 pandemic. © 2022 Taylor & Francis Group, LLC.