Explore the vast range of titles available.

The influence of VAT applied to financial services on the size of the financial sector is analyzed empirically. The authors use data from 36 European Union and OECD countries for the period from 1961 to 2012. Dynamic panel data techniques are used, concretely the GMM System. An unbalanced panel is handled. The results allow the authors to support the theoretical analysis that financial VAT has no significant effect on financial sector development. Results are robust to the specifications of the dependent and target variables and to the econometric method applied.

There is a link between economic progress and Financial Development. In order to analyze the potential for influencing Economic Growth, this study will look at the underlying elements that drive the development of Syria’s Financial Sector. The research team is also speculating on how much Economic Growth these effects will bring. A Dynamic Linear Model that takes into account Financial Reforms and changes on the Legal System was used to analyze the Impact of Financial Development on Economic Growth between 1980 and 2018. We were able to measure many dimensions of Financial Development with the use of a new IMF Financial Development Indicator, overcoming the limits of single traditional variables that have been widely used. The ARDL Bounds Test approach, which is based on unit root tests, was used. The Error Correction Model was also applied. The country’s Financial Development had a favorable and statistically significant effect on Economic Growth in Syria in the short and long terms. A lot of factors influence Economic Growth, including the Legal System, overall Government Expenditure, and the Exchange Rate. The Supply Leading Hypothesis of Patrick (1966) was realized in Syria,hence Financial Development leads to Economic Growth, consistent with the proposal of “more Finance, more Growth” (Levine, 2003). Financial Development is a necessary condition and prerequisite for Economic Growth in Syria, which is consistent with the (Finance Lead Growth Theory). The model could be very useful in decision-making, especially those related to reform policies to promote the SDGs or to modify current policies in response to a possible global financial crisis or shock.

This study analyzes the influence of information and communication technology (ICT) and financial developments on the economic growth in high-income countries. This research uses the panel data regression method with a random effects model (REM) approach. The data were sourced from the World Bank and the International Telecommunication Union publications from 2001–2020. The results show that ICT (fixed telephone subscriptions, mobile/cellular telephone subscriptions, internet users and fixed broadband subscriptions) had no significant effect on economic growth. On the other hand, financial development (domestic credit to the private sector and stock market capitalization) had a significant effect on economic growth. Thus, indicators of financial development are better at promoting economic growth in high-income countries. Domestic credit to the private sector has a greater influence on economic growth compared to stock market capitalization. The research implications show that it is necessary to increase the contribution of financial development, such as facilitating access to credit to the real sector and increasing access to the capital market for economic actors to increase economic growth.  

The purpose of the paper is to identify the factors of financial development that have the greatest impact on open innovation in 7 emerging countries. The analysis was performed featuring the MF-X-DMA method, as well as its further verification for autocorrelation and heteroscedasticity. The time period covers years from 2002 to 2020. The article states that the main indicators to improve financial development should enhance the process of bank lending and equity market development. An important area is the development of competition by providing equal access to information to all market participants in a continuously refining technical infrastructure. Regression analysis with the MF-X-DMA method confirms the statistical significance of this influence. The article fills the knowledge gap into the link between open innovations and the relatively low capitalization of the modern emerging countries’ financial market, low liquidity in small cap stocks at the financial market and concentration of the banking sector, as well as risks arising in the process of globalization. Another analysis has also been conducted by generating a novel fuzzy decision-making model. In the first stage, the determinants of open innovation-based fintech potential are weighted for the emerging economies. For this purpose, M-SWARA methodology is taken into consideration based on bipolar q-ROFSs and golden cut. The second stage of the analysis includes evaluating the emerging economies with the determinants of open innovation-based fintech potential. In this context, emerging seven countries are examined with ELECTRE methodology. It found the most significant factor is the open innovation-based fintech potential.

An increase in energy crises and environmental degradation has pushed countries to adopt more sustainable practices. In this situation, financial technology has played an important role to lower carbon emissions by integrating renewable energy resources that can help increase renewable energy resource consumption (REC) and lower carbon emissions (CE). To better understand this transmission mechanism, this study has collected a panel dataset of 26 Morgan Stanley Capital International (MSCI) developing countries for the 2011–2021 period. Furthermore, a proxy indicator for financial technology (FinTech) was developed by extracting relevant data from CrunchBase. Pooled ordinary least square and robust fixed effects technique was adopted to analyse the influence of FinTech on renewable energy and carbon emissions for robustness. Results of the study show that FinTech development promotes renewable energy resource consumption (REC) and discourages carbon emissions (CE), moreover, economic growth positively impacts, and carbon emissions (CE). This research emphasizes the importance of adopting financial technology as an important deterrent of further environmental damage. Additionally, in line with the results of this study, policymakers should design and implement an industrial policy which promotes sustainable economic growth which can pave the path for a circular economy model in the future.

PurposeThe purpose of this paper is to examine the effect of digital financial innovation on financial depth and economic growth in Kenya.Design/methodology/approachThe study utilized autoregressive distributed lag (ARDL) model, which is preferable over other time series methods as the model allows application of co-integration tests to time series with different integration orders and is flexible to the sample size including small and finite.FindingsThe main findings of this paper are as follows: first, there is evidence of a positive relationship between digital financial innovation and financial depth with the strongest impact emanating from Internet usage and mobile financial services and the lowest impact from bank branches; second, the results reveal a significant positive impact of financial depth on economic growth consistent with the supply-leading finance theory.Practical implicationsThe results of the study imply a need for investment in technology-enabling infrastructure for digital financial services (DFS) and a redesign of strategies to avoid further financial exclusion of low-income earners due to the unaffordability of digital devices and financial and digital illiteracy.Originality/valueThe study is original and important for policymakers as the study provides insights on the components of financial innovation that are growth-enhancing in Kenya, considering that some aspects of innovation can be growth-retarding as was demonstrated during the global financial crisis.

Purpose – This paper aims to analyze the effect of financial depth in Islamic banks on income inequality in 33 provinces in Indonesia. Methodology – We use data for the period 2010-2018 from 33 provinces in Indonesia which are estimated using panel data to develop spatial panel data model. The dependent variable is income inequality, while the variable independent are Islamic regional financial depth, economic growth, human capital, and government expenditure. Findings – This research finds that Islamic Regional Financial Depth (FDS) has a positive and statistically significant direct effect on income inequality represented by Gini index. It means that an increase in the FDS will also cause an increase in the level of Gini index. In addition, the indirect effect of FDS on income inequality is also positive and significant, indicating that the ratio of financing to GRDP has a spillover effect on connected regions. Implications – This research recommends policymaker to expand the business of Islamic banking by financing the small medium enterprises and concern on the promotion of Islamic banking in the regional level. Originality – This study is potentially to contribute and be the early work which employs spatial analysis in the area of Islamic economics and finance. In addition, this study examines the impact of financial depth in Islamic bank on income inequality which is rarely discussed. Hence, this study presents relatively new information for policy makers, practitioners and researchers.

Purpose – This paper aims to analyze the effect of financial depth in Islamic banks on income inequality in 33 provinces in Indonesia. Methodology – We use data for the period 2010-2018 from 33 provinces in Indonesia which are estimated using panel data to develop spatial panel data model. The dependent variable is income inequality, while the variable independent are Islamic regional financial depth, economic growth, human capital, and government expenditure.Findings – This research finds that Islamic Regional Financial Depth (FDS) has a positive and statistically significant direct effect on income inequality represented by Gini index. It means that an increase in the FDS will also cause an increase in the level of Gini index. In addition, the indirect effect of FDS on income inequality is also positive and significant, indicating that the ratio of financing to GRDP has a spillover effect on connected regions. Implications – This research recommends policymaker to expand the business of Islamic banking by financing the small medium enterprises and concern on the promotion of Islamic banking in the regional level. Originality – This study is potentially to contribute and be the early work which employs spatial analysis in the area of Islamic economics and finance. In addition, this study examines the impact of financial depth in Islamic bank on income inequality which is rarely discussed. Hence, this study presents relatively new information for policy makers, practitioners and researchers.

Research background: Financial stability is one of the key tasks in the functioning of the country’s financial system. National financial systems have significant differences in the level of their development, structure and approaches to regulation. There are no uniform world standards for methods and indicators of assessing financial stability. International financial institutions, including the International Monetary Fund, only outline certain areas and offer an indicative list of indicators that should be taken into account. Purpose of the article: Taking into account the peculiarities of the subject and object structure of Ukraine’s financial system, this study formed groups of indicators that reflect the state of financial depth, level of access and efficiency of the financial system, systematized by subject (financial institutions) and object financial markets) characteristics. Methods: The basis for the formation of a set of indicators is a matrix of characteristics of the financial system’s stability, which is formed according to the principle of 4x2 proposed by experts of the International Monetary Fund. The list of indicators to calculate the integrated indicator that characterizes the stability of the financial system of Ukraine, covers the period 2007–2019 and includes 29 indicators that take into account the peculiarities of its formation and development. Harrington’s desirability function is used to determine the integrated indicator that characterizes the state of financial stability. Findings value added: The intermediate calculations obtained by modeling groups of indicators showed that the level of access to the financial system and the state of its depth are balanced during the study period (the range of variation of integrated indicators for these groups is minimal — from 0.1 to 0.18), is at a satisfactory level and the basis for ensuring the financial system’s stability. Conversely, the efficiency of the financial system is low, and characterized by a high degree of volatility (range of variation — 0.51). The obtained integrated indicator, which is in the range from 0.41 to 0.54 on the Harrington desirability scale, makes it possible to assess the state of the financial system’s stability in Ukraine as satisfactory, but with a high level of sensitivity to both external and internal shocks.

This article analyses the relationship among interest rate reforms, financial development and economic growth by using annual dataset for the period covering 1980–2014 for Bangladesh. The effect of interest rate reforms on financial development is examined using a financial deepening model, and the causal relationship between financial development and economic growth is examined, by including deposit interest rate as a third variable, thereby forming a simple trivariate causality model. The empirical results of cointegration and error correction models show that there is a positive effect of deposit rate of interest rate on financial depth in Bangladesh. Besides, multivariate Granger causality tests reveal that there is only one-way causality between financial depth and economic growth—the flow running from financial depth to economic growth. In addition, the study finds there is bidirectional causality between deposit rate of interest rate and economic growth, which is also confirmed by the pairwise Granger causality test. The inference of this study is that a deregulated deposit rate of interest will raise financial depth and eventually enhance the economic growth of Bangladesh. Therefore, the financial reforms should be directed towards accomplishing a more deregulated deposit rate of interest for progressive growth in the economy of Bangladesh.