The COVID-19 pandemic has affected different sectors of the economy, including insurance, and has become a problem and a clear catalyst for innovation. The pandemic has highlighted some inefficiencies of the traditional model of interaction between insurers and their customers and focused on insurance companies’ efforts on innovations and investments in the digital future. That is why the article aims to generalize the transformations of the institutional environment in the InsurTech ecosystem in the context of the COVID-19 pandemic and identify prospects for its development in the post-pandemic period.The analysis of the functioning of InsurTech as an ecosystem necessitated the identification of challenges for the insurance market in the context of COVID-19. The peculiarities of the insurance market development have been identified: the blurring of boundaries between insurers, BigTech firms, and technological partners; expanding interaction with policyholders based on the principle of support and the use of social networks; changes in the structure of the implemented insurance services; an increase in insurance fraud cases; the growing demand for parametric insurance products; introduction of a digital approach to the interaction with customers and employees, modernization of technological infrastructure and expansion of data processing capabilities; remote risk identification; acceleration in the use of financial technologies by insurance market participants. There is a transformation of the insurance market under the influence of business processes digitalization because insurers are aware of the importance of InsurTech in the formation of competitive advantages. For many companies, the crisis has strengthened their innovative development strategies and accelerated the implementation of financial technology tools in their business processes against the background of modernization of technological infrastructure. Chatbots, telematics, the Internet of Things, machine learning, artificial intelligence, predictive analytics, etc., are widely used. In the future, InsurTech will also play an important role in introducing digital innovations in the insurance market.

The European Union’s climate policy and the energy transition associated with it force individual countries, their economies and their industrial sectors to carry out thorough changes, often of a deep, high-cost and restructuring nature. The aim of the article is to provide a multidimensional assessment of the forms and effects of the restructuring of coal mining companies in Poland in light of the current energy transition process. The research problem is encapsulated within the following two interdependent questions: Has the restructuring process allowed the coal mining industry to achieve sufficient efficiency to sustainably compete in the open market, and to what extent, if at all, have the objectives of restructuring been achieved from the perspective of changes in the energy mix? The research covers all coal mining companies included in the official statistics. It adopts a long-term perspective (1990–2020), dating from the beginning of the systemic transformation in Poland. The research involved the use of multivariate financial analysis methods, including the logit model for predicting the degree of financial threat, as well as taxonomic methods for assessing the dissimilarity of structures and their concentration. The general conclusion of the research is that there has been a lack of consistency (follow-up) between the forms and effects of restructuring in coal mining companies in Poland on the one hand and changes in the composition of the country’s energy mix as a result of the energy transition on the other. In particular, this means that such restructuring, being neither effective nor efficient, has failed to accelerate change in the energy mix.

Financial inclusion, which consists of having a financial system that is easily accessible to citizens, is identified by various international organizations such as the new UN Agenda 2030, as a priority objective. This objective is particularly relevant in rural areas, where access to these services is more difficult, as citizens have to travel several kilometers to access them. In this study, we analyze the current situation of the Polish financial sector in terms of its accessibility, in order to measure the degree of financial inclusion. For this purpose, we use three combined methodologies. Initially, a data extraction from the Central Bank of Poland was carried out. Subsequently, three methodologies are applied to calculate financial inclusion. First, we apply the criteria of the Financial Access Survey (FAS) of the International Monetary Fund. Secondly, the Access to Cash Index (ACI) methodology by calculating a score that describes the access to banking services according to certain items. Finally, we applied the nearest neighbor methodology to detect in each voivodship those points where it is most difficult (measured in km distance) to access banking services. Some areas, especially in rural areas of the different voivodeships, present certain problems when it comes to accessing banking services. Therefore, the fulfillment of SDG 8.10 will be more difficult to achieve in these areas. The public authorities must pay attention to this, in order to reach the commitments acquired with the 2030 agenda, in terms of financial inclusion.

of the relationship between quantities was done with correlation analysis. Linear regression analysis was used to simultaneously determine the level of interdependence of variables R 2 and the Pearson coefficient. Findings: The results confirmed significant variation in the development over time of the two quantities, as well as their mutual relations divided into size classes of enterprises. The correlation analysis showed a low degree of interdependence in small and medium-sized enterprises and a high level in large ones. However, the negative direction of this interdependence in large enterprises was a surprise. Implications / Recommendations: The research results indicate that the high investment intensity in the energy sector results in an increase in the automation of manufacturing activities but does not necessarily involve changes in human resources. However, these relations may be differentiated by enterprise size classes. Contribution: The article contributes to the knowledge base on measures of enterprise development and the relationships between them. It could provide a methodological basis for conducting similar research in other industrial sectors.Article type: original article.