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The aim of this article is to investigate how the use of financial instruments influences the development of Regional Development Funds (RFR) in Poland and to assess the maturity and coherence of the regional development financing system in this country.

The methodology is based on the multilevel governance literature and on data collected during 26 in-depth interviews in regional, national and international institutions.

The authors demonstrate that the use of financial instruments stimulates new kinds of cooperation between several institutions and contributes to the establishment of RFR. The authors also show that the Polish regional financing system is still developing and formulate recommendations about necessary improvements.

The main contribution of this article, in addition to taking up a new, relevant topic for the regional development policy in countries benefiting from European Union (EU) cohesion policy, is the application of the multilevel governance (MLG) concept to explain the development of the Polish regional development financing system. Moreover, the significant added value of this study comes from the use of data collected during 26 in-depth interviews (IDI) in regional, national and international institutions on the use of repayable instruments in regional development policy.

This paper aims to focus on the need for an enhanced anti-money laundering (AML) regulation for decentralised finance (DeFi) to protect the integrity of global financial systems against illicit activities. Research highlights the requirement for a robust regulatory strategy for the fast-paced DeFi evolvement.

This study used doctrinal legal research by analysing legislation, which involved creating use cases to illustrate different aspects of potential illicit activities via the DeFi ecosystem. Various DeFi applications were assessed for the potential regulatory responses and outcomes.

This paper offers valuable insight into the regulatory challenges presented by DeFi. This study addresses the blind spots leveraged by criminals afforded by the DeFi’s decentralised nature. This paper offers a comprehensive examination of DeFi regulatory challenges based on use-case scenarios and provides recommendations for regulators on how to address them effectively.

This paper proposes measures for regulatory authorities to minimise money laundering risks through new channels such as decentralised exchanges, non-custodial wallets and cross-chain bridges. This study concludes with the future directions for DeFi regulation and AML compliance.

Shadow banks or non-bank financial intermediaries (NBFIs) are facilitators of credit, especially in emerging market economies (EMEs). However, there are certain risks associated with them, such as their unchecked leverage and interconnectedness with the rest of the financial system. In light of this, the present study analyses the impact of the growth of shadow banks on the stability of the banking sector and the overall stability of the financial system. The authors further examine the effect of the growth of finance companies (a type of NBFIs) on financial stability.

The study employs data of 11 EMEs (monitored by the Financial Stability Board (FSB)) for the period 2002–2020 to examine the above relationships. Panel-corrected standard errors method and Driscoll–Kray standard error estimation are deployed to conduct the analysis.

The results signify that the growth of the shadow banking sector and the growth of lending to the shadow banking sector are negatively associated with the stability of the banking sector and increases the vulnerability of the financial system (overall instability). This implies that the higher the growth of the shadow banks, the higher the financial fragility. Finance companies are also found to negatively affect financial stability. These findings are validated by different estimation methods and point out the risks posed by the NBFI sector.

The extant study builds a composite index (Financial Vulnerability Index (FVI)) to measure financial stability; thus, the findings contribute to the evolving literature on shadow banks.

Using bank-level data over the 1994–2015 period, the authors aim to investigate the role of bank-specific factors on credit risk in Italy by considering two different groups of banks, namely, cooperative and non-cooperative (commercial and popular), in different local markets.

Relying on highly territorially disaggregated data at labour market areas’ level, the authors estimate the impact of the role of bank-specific factors on credit risk in Italy from the estimation of a fixed-effect estimator. Non-performing loans to total loans has been used as a proxy of credit risk; the bank-specific factors are as follows: growth of loans, reflecting credit policy; log of total assets, controlling for banks’ size; loans to total assets, reflecting the volume of credit market; equity to total assets, capturing the solvency of banks and reflecting their capital strength; return on assets, reflecting the profitability of banks; deposits to loans, reflecting the intermediation cost; cost of total assets, reflecting the banks’ efficiency or volume of intermediation cost.

The empirical findings suggest that regulatory credit policy, capitalisation, volume of credit and volume of intermediation costs are the main bank-specific factors affecting non-performing loans. Nevertheless, the present analysis suggests that the behaviour of cooperative banks’ behaviour seems to be in line with that of commercial rather than popular banks, casting doubts about the feasibility of their credit policies. It turns out that recent reforms involving popular and cooperative banks represent the first step toward the enhancement of the stability and efficiency of the Italian banking system. While the present study’s benchmark results are not particularly affected by the degree of competition in the banking sector and by banks’ size, it shows that both cooperative and non-cooperative banks have undertaken more prudent credit policies after the advent of the financial crisis and the introduction of the Basel regulation.

The relationship between bank-specific factors and credit risk has been analysed using a rich sample of cooperative, commercial and popular banks in Italy over the 1994–2015 period. The authors rely on labour market areas being sub-regional geographical areas where the bulk of the labour force lives and works. The contribution is motivated by the financial distress experienced after the 2008 financial crisis, which has significantly hit the Italian banking system and cooperative banks in particular.

The purpose of this paper is to examine the financial factors across multiple levels of analysis that influence the performance effects of the unrelated diversification strategy, including institutional-, industry- and firm-levels.

Using a unique panel dataset of Italian firms from 1980 to 2010, the paper tests hypotheses on how industry external financial dependence and the firm's financial constraints both separately and jointly alter the performance benefits of unrelated diversification in contexts with financial market inefficiencies.

Unrelated diversification increases performance in weak financial contexts and such positive effect is enhanced by greater industry external financial dependence and greater firm financial constraints. However, as financial markets develop, the moderating effects of firm financial constraints shrink.

The study highlights the importance of recognizing the multiple financial contingencies that may alter the benefits of the unrelated diversification strategy, suggesting caution in its pursuit to boost firm performance.

The authors develop a theoretical framework that explains the performance outcomes of unrelated diversification, linking the benefits of an internal capital market (ICM) with the financial context of the firm and offering a fine-grained analysis that moves beyond the advanced/emerging economy dichotomy. Furthermore, leveraging on the unprecedented time frame of the empirical analysis, the paper highlights the crucial role of industry- and firm-level financial contingencies and demonstrates that their effects change at varying levels of development of the financial context.

This study aims to examine the role of Australian casinos in facilitating money laundering and Chinese capital flight.

The reports and transcripts of evidence from government inquiries into money laundering in Australian casinos are integrated with analyses of Asian transnational crime.

Money laundering in Australian casinos is linked to transnational crime and Chinese capital flight. A central finding is that junket operators play a key role in facilitating money laundering. The casinos are particularly exposed to criminal influences in the Chinese very important person gambling market, since they have used junket operators and underground banks, many of whom are closely linked to major Chinese criminal groups from Hong Kong and Macau.

Very little information is available on money laundering in Australian casinos and this research has relied on the government inquiries that have been conducted over the past two years on the subject.

The author’s focus on money laundering in Australian casinos in the context of Asia-Pacific transnational crime is important for Federal and state government regulators grappling with the rapidly changing money laundering issues. The government inquiries recognised that the money laundering was related to transnational crime, but did not have the time and resources to explore the topic. The paper provides state government casino regulators and financial crime regulators with a broader international perspective to anticipate future money laundering and crime pressures facing Australia’s casinos.

Money laundering in Australian casinos has had devastating social implications on the community. My research helps to focus attention on the problems of transnational crime and money laundering.

Little research has examined the linkages between casinos and transnational crime. This study has found that Australian casinos were used to launder the proceeds of illegal drug trafficking and to facilitate Chinese capital flight. While casinos have been forced by damming government inquiries to tighten anti-money laundering controls, it is likely that there will be pressure to relax these controls in the future because of competitive pressure from other casinos in the Asia-Pacific region.

This study aims to analyze the impact of Shariah supervision and corporate governance (CG) variables on the performance of Islamic banks (IBs) in Gulf Cooperation Council (GCC) countries.

A dynamic panel regression model is used to analyze bank performance’s persistence and the results are estimated using the generalized method of moments estimator. The sample includes 27 full-fledged IBs in 6 GCC countries from 2005 to 2020.

The results reveal that Shariah supervision and CG-related variables are significant in determining IBs' performance. Furthermore, the results show that bank size, capital adequacy ratio, economic growth and inflation are significant and positive determinants of IBs’ financial performance.

This study is conducted to fill a gap in the literature regarding the effect of Shariah supervision on IBs’ performance, recommending the implementation of CG guidelines in IBs to improve their current practices.

Despite existing studies on the relationship between Shariah governance and performance, this study contributes to the Shariah governance and Islamic banking literature in GCC, which is the most important region of the Islamic financial industry. In addition, it provides additional insight into the fundamental role of Shariah supervision in IBs.

Besides the extensive research on managerial efficiency in the financial sector worldwide, emerging economies in Europe remain untapped. This research scrutinises the impact of managerial performance and competitive structures on their financial industry growth in terms of services they offer and ability to liquefy stock in capital markets.

This study contains data from selected emerging European countries' during the period of 2010–2020. This study uses data from the Heritage Foundation's Index of Economic Freedom to control for firm-level indicators. The fixed-effects (FE) method was used to explore the nexus between financial sector growth and management performance as well as competitive firm structure.

The findings provide evidence of the existing impact of firm indicators on the financial sector's growth. Two-step system the generalized method of moments (GMM) estimations are used for the robustness check of the authors' model. Whilst on a scavenger hunt through existing literature, the authors realise that there is an overwhelming lack of enthusiasm in this field.

With the intention of better assessment, the authors use regulatory contextual variables to look for any possible impacts and surprisingly discover a pattern in the financial growth nexus.