O16 - Economic Development: Financial Markets; Saving and Capital Investment; Corporate Finance and GovernanceReturn

Reducing income inequality is one of the goals under the Sustainable Development Goals. This study examines the intricate relationship between financial development, policy uncertainty, inflation, and income inequality. Panel data for African countries covering the period 2000-2022 were used in the analysis. The study used the economic policy uncertainty (EPU) index to examine its effects on income distribution. Previous studies indicated the possibility of asymmetric effects of inflation and EPU on income inequality. Hence, a dynamic non-linear Panel ARDL was employed to examine the asymmetric nature of the relationship between these variables. The study found that in the long run a symmetric EPU reduces income inequality for the countries in the study and this is confirmed by the asymmetric negative EPU that had a negative and significant impact on inequality. Income equality was found to deteriorate with an increase in inflation. Moreover, inequality was found to be more sensitive to negative changes in inflation relative to a positive change as inequality's elasticity to positive change was much lower as compared to negative changes. Under certain conditions and economic context, redistributive policies can alleviate inequality during a period of heightened EPU. By examining the theoretical frameworks and empirical evidence, the study highlights that for the countries in this study, policy uncertainty reduces inequality. Also, countries should continue with inflation targeting policies and if possible, aim for a lower rate relative to the previous period.

There is no consensus on the key drivers of financial inclusion due to variation in the socioeconomic features of countries, use of indicators and research methods. The main objective of this study is, therefore, to empirically examine the key drivers of financial inclusion across 26 selected Sub-Saharan African (SSA) economies for the period between 2000 and 2019, using a system generalized method of moments (GMM). A principal component analysis (PCA) is applied to construct a composite index of financial inclusion to address the multi-dimensional nature of the variable. The findings of the study indicate that both the macroeconomic and microeconomic factors influence the level of financial inclusion of the SSA countries. Specifically, the lag effect, economic growth, financial stability, inflation, financial deepening, liquidity, profitability, and bank efficiency are important drivers of financial inclusion in the SSA region. It is therefore important for policy makers and regulators to consider these factors while developing policies and strategies that foster access to financial products and services and ensure financial inclusion in the region.

This paper examines the relationship between financial stability and income inequality in 35 developing countries from 2004 to 2020 using system generalized method of mo- ments (GMM) estimation. Four dimensions of the financial sector, namely financial stability, depth, access and efficiency were included as regressors. The results for the relationship of each of the financial dimensions with income inequality are mixed. In this study, inequality increases with an increase in the stability of the financial sector; on the contrary, the depth of the financial sector reduces inequality. Furthermore, not only does the dimension of the financial sector matter in addressing income inequality issues, but the quality of institutions is important. It is important for policy makers to understand linkages between financial dimensions and inequality so as to come up with appropriate prudential regulatory mechanisms.

European emerging and transition economies are in immense need of investments and renewal of capital, yet they produce a considerable amount of unutilized resources. In particular, banks hold excess liquidity in the face of seemingly profitable lending opportunities. Is it a demand-side or supply-side problem or is this region entirely different and have we been working under the wrong paradigm? This study creates a new estimate of excess liquidity by taking into account banks' overall liquidity position. Breaking down precautionary from involuntary excess liquidity, a significant presence of the latter is evident. A part of the story deals with insensitivity of deposits to interest rates. Based on our standard understanding of how banks work, this is puzzling and this study creates a new way to look at this. Using new measures is the way to launch the investigation of causes and policy implications for involuntary excess liquidity.

The aim of this paper is to analyse and evaluate the directions of changes in the development of entrepreneurship in the regions of the Visegrad Group countries, i.e., the Czech Republic, Poland, Slovakia and Hungary, in the period 2004-2018. We carried out research using an entrepreneurship model based on the Global Entrepreneurship Monitor (GEM) methodology. The literature analysis made it possible to formulate the main research hypothesis, which states that the factors of entrepreneurship development in this period had a different impact on the establishment of enterprises at the level of regions in the Visegrad Group countries. Assigning individual regions of these countries to entrepreneurship classes in the investigated years showed significant differences, which means that the NUTS 2 regions of the Visegrad Group countries differ significantly in terms of entrepreneurship development conditions.

This study aims to enhance the empirical evidence on the determinants of collateralized borrowing by small and medium-sized enterprises (SMEs) by presenting new empirical evidence on emerging market countries. Using the data from World Bank Enterprise Surveys from nine emerging markets, we find that older SMEs are less likely to provide collateral for bank loans. The results also reveal that loans received by firms whose top managers are more experienced in the industry and firms with a higher percentage of material inputs and services purchased on account are less likely to be secured. SMEs in the manufacturing industry are more likely to provide collateral for bank loans than service industry firms. The likelihood that the loan is secured is higher for firms with larger loan sizes. Furthermore, our results indicate that the probability of pledging collateral is higher for SMEs that operate in countries with higher borrower-bank proximity.

This paper seeks to investigate the effect of financial development on growth in OECD countries during 1999–2014. The aim of the analysis is to study the dependence of growth on given financial development indicators along quantiles of the conditional growth distribution, taking into account the effect played by each country over time. For the purpose of the empirical analysis, it performed the instrumental variable quantile regression panel data (IV-QRPD) model suggested by Powell (2016). The findings of IV-QRPD model indicated that the effect of finance on growth is changing along quantiles of the conditional growth distribution. That is to say, we provide some evidence that high-growth OECD countries react to the changes in financial development less than low-growth countries.

The purpose of this study is to determine the validity of the triplet deficit hypothesis, which means the savings gap and budget deficit effect on the current account deficit. The empirical model is estimated for the G7 countries during the period between 1994 and 2011. The findings show that budget deficit and savings gap have important role in current account deficit in terms of estimator results. Moreover, bi-directional causality between the current account deficit and the savings gap and between the budget deficit and the savings gap are determined. So, especially the savings gap has an important effect on the current account deficit and the budget deficit. That is, triplet deficit hypothesis is valid in G7. Moreover, traditional approach is also valid since the causality is found between the current account deficit and budget deficit. Thereby, the authors conclude that the choice of statistical tools in analysing the nature of relationship among the current account deficit, the budget deficit, and the savings gap may play a key role for policy makers.

Real convergence is the key economic challenge for the new EU Member Countries. The main growth area today is the "new" entrepreneurial economy of creativity and innovation. But such an economy needs a financial structure capable of coping with the higher risk inherent in the "new" economy. To provide such a financial structure, the financial markets must be broad, deep and liquid, i.e. financial markets must be large enough to provide this financial structure. Hence, the financial integration became an imperative for the new Member Countries. But this integration process possesses both economic and political challenges and dilemmas. Answers to those challenges and dilemmas will then determine the degree of real convergence - and hence the degree of economic success - for each new Member State.