No abstract

The article contains the analysis of the prospects for its further development and the involvement of social resources of the volunteering into the problem-solving process that modern Ukrainian society is currently experiencing.

Objective. The objective of the article is to establish the features of the policy of the European Central Bank in the field of climate change. Methods. In the research process, the following general scientific methods and methods of cognition are applied: methods of scientific abstraction, analysis and synthesis (to study the impact of climate change on the economy and the financial sector), systemic generalization (to systematize risks associated with climate change, determine the measures of central banks regarding minimization of the negative effects of climate change, determination of features of the policy of the European Central Bank in the field of climate change). Results. Based on the results of the conducted research, the impact of climate change on the economy and the financial sector is considered, and climate risks affecting the financial sector are identified (physical risks arising from climate-related hazards that can reduce the value of financial assets and/or increase liabilities), risks of the transition to "green" energy (due to policy changes regarding mitigation and adaptation to climate change, as well as market sentiment and technology changes that may affect the value of financial assets and liabilities), liability risks (due to liability entities for damages related to environmental damage that they may cause); measures to minimize the negative effects of climate change are defined (preliminary determination of climate risks in financial contracts, effective distribution of risks through insurance and reinsurance, assessment of the impact of a natural disaster on inflationary pressure, adjustment of monetary policy if necessary; use of more reliable quantitative assessments based on detailed impact analysis climate risks at the individual sector level; governments announcing a clear and predictable plan for future tightening of carbon policy; central banks incorporating climate variables into their macroeconomic models); the specifics of the European Central Bank's policy in the field of climate change are established (the presence of a strong normative and legal support of the policy in the field of climate change, which covers the monetary policy strategy, the action plan on climate change, the climate agenda with defined strategic priorities and measures; the presence of strategic goals and priorities in the field of climate change, which consist in managing and mitigating financial risks associated with climate change and assessing its economic impact, promoting stable financing to support an orderly transition to a low-carbon economy, sharing the experience of the ECB).

Objective. The objective of the article is the analysis of the state and features of the development of special economic zones in the world.. Methods. The following methods and techniques of cognition are applied in the research process: theoretical generalization and comparison, analysis and synthesis, induction and deduction, grouping, correlation-regression analysis, clustering. Results. It is determined that among the wide list of indicators of investment attractiveness, the following indicators are most often used and are the most authoritative ones: Doing business Index, The Global Competitiveness Index, Global Innovation Index, Fragile States Index, Legatum Prosperity Index, Index of Economic Freedom, as well as credit ratings international rating agencies, including Moody's, Fitch, etc. Based on the analysis of the relationship between indicators of investment attractiveness and the actual volumes of FDI attraction of 101 countries of the world in 2015-2020, it is established that this relationship can be described as direct (Doing business Index, The Global Competitiveness Index, Global Innovation Index , Index of Economic Freedom) or the reverse (Fragile States index, Legatum Prosperity index); weak (Doing Business Index, Index of Economic Freedom, Fragile States Index) or moderate (Global Competitiveness Index, Legatum Prosperity (economy) Index).It is substantiated that despite the fact that the most representative indicators of investment attractiveness, according to the calculated values ​​of the correlation coefficients, are the Global Competitiveness Index and the Global Innovation Index, however, they do not have a significant impact on the actual volumes of FDI attraction of countries (the correlation coefficient varies within 0, 15-0.39), cannot be used as a dominant determinant for forecasting FDI volumes. It is substantiated that for forecasting the volume of FDI, it is advisable to use not one, but a set of indicators of investment attractiveness. It is established that the composite four-factor regression model based on individual regression equations of countries on indicators of investment attractiveness according to their cluster affiliation has the greatest predictive power.