The application of governance in recent years appears as a tool of entities that organize sport. Considering this aspect, it was observed that many sports entities present problems in following mechanisms to improve management, both in national and international contexts. Governance materializes with principles of transparency, accountability, equity, institutional integrity, and modernity, in order to aid sports entities. Thus, the development of sports entities could improve management, professionalization, and innovation. Based on the aforementioned, this article aims to demonstrate whether the principles of governance found in the literature are contemplated in Brazilian sports confederations, pointing to the possibility of finding distinct characteristics among the confederations, and the confederation with the highest index for Brazilian sports. The methodology is a longitudinal discursive analysis. The results use data from 2015 to 2022 from the Sou do Esporte Governance Awards and the analysis is based on five governance principles; transparency, equity, accountability, institutional integrity, and modernity. The confederations were found to have adopted the principles of governance to improve, professionalize, and optimize their sports management. The results suggest that the use of governance can enhance the confederations and improve the management, legitimacy, and development of sports in Brazil. The authors consider the nuances reported in the study as imperative to improve the progress of Brazilian sports, and the contribution made could generate other discussions in different contexts and countries.

The economic viability of a photovoltaic (PV) installation depends on regulations regarding administrative, technical and economic conditions associated with self-consumption and the sale of surplus production. Royal Decree (RD) 244/2019 is the Spanish legislation of reference for this case study, in which we analyse and compare PV installation offers by key suppliers. The proposals are not optimal in RD 244/2019 terms and appear not to fully contemplate power generation losses and seem to shift a representative percentage of consumption to the production period. In our case study of a residential dwelling, the best option corresponds to a 5 kWp installation with surplus sale to the market, with a payback period of 18 years and CO₂ emission reductions of 1026 kg/year. Demand-side management offers a potential improvement of 6%–21.8%. Based on the increase in electricity prices since 2020, the best option offers savings of up to €1507.74 and amortization in 4.24 years. Considering costs and savings, sale to the market could be considered as the only feasible regulatory mechanism for managing surpluses, accompanied by measures to facilitate administrative procedures and guarantees for end users.

Money laundering has become a vital issue all over the world especially in the emerging economy over the last two decades. Till now, the developing and emerging countries face challenges about the remedies and inceptions of anti-money laundering issues. The objective of the study is to provide a thorough picture of the diversified movements of academic research on money laundering and anti-money laundering activities all over the world. This study aims at exploring the contemporary issues in Anti-money laundering based on the academic points of view. Further, the study is explored to render a portrayal of anti-money laundering activities from an emergency country context. A review of publicly available reports, published documents, daily newspapers, case studies, and previous academic research comprised the main sources of data for the study. It is found that the contemporary money laundering and anti-money laundering academic research might be classified into four broad categories. An emerging country like Bangladesh has taken little initiative to inductee anti-money laundering initiatives. It implies that for the successful implementation of anti-money laundering activities, good governance along with a congenial regulatory framework is a prerequisite in an emerging country context. In addition, the machine learning may enhance the quality of money laundering detections in Bangladesh.

This study aims to analyze how public debt influences economic growth in Kosovo, using quarterly data from Q1 2008 to Q4 2022 and employing the generalized method of moments (GMM). The research reveals that there is a negative relationship between public debt and economic growth when other factors such as trade openness, total investment, current account balance, and primary balance are considered. Furthermore, the findings confirm an inverted “U-shaped” relationship between public debt and economic growth, indicating that the optimal debt level is between 27.75% and 36.2% of GDP.

To evaluate the efficiency of decision-making units, researchers continually develop models simulating the production process of organizations. This study formulates a network model integrating undesirable outputs to measure the efficiency of Vietnam’s banking industry. Employing methodologies from the data envelopment analysis (DEA) approach, the efficiency scores for these banks are subsequently computed and comparatively analyzed. The empirical results indicate that the incorporation of undesirable output variables in the efficiency evaluation model leads to significantly lower efficiency scores compared to the conventional DEA model. In practical terms, the study unveils a deterioration in the efficiency of banking operations in Vietnam during the post-Covid era, primarily attributed to deficiencies in credit risk management. These findings contribute to heightening awareness among bank managers regarding the pivotal importance of credit management activities.

The study investigates the impact of corporate gender diversity on dividend payouts in Asia-Pacific countries. The study used the data of 610 listed firms in the Asian Pacific region over eleven years, from 2006 to 2016, with 6710 observations. The regression results revealed that the representation of women on board and at least 30% on board positively relates to dividend payout. Board size and board independence have a significant negative relationship with dividend payouts. Overall, results suggest that gender diversity on corporate boards has a greater propensity to pay dividends in the mix of ownership structure, strong and weak corporate governance compliance, and horizontal agency conflict.

Infrastructure development policies have been criticised for lacking a deliberate pro-gender and pro-informal sector orientation. Since African economies are dual enclaves, with the traditional and informal sectors female-dominated, failure to have gendered infrastructure development planning and investment exacerbates gender inequality. The paper examines the effect of the infrastructure development index, the size of the informal economy, and the level of economic development on gender inequality. The paper applies the panel autoregressive distributed lag method to data on the gender inequality index, infrastructure development index, GDP per capita, and size of the informal sector for the period 2005–2018. The sample consists of 44 African countries. The research established that the infrastructure development index, its sub-indices, GDP per capita, and the size of the informal sector are crucial dynamics that governments need to consider carefully when formulating development policies to reduce gender inequality. The research found that investment in infrastructure in general, transport infrastructure, and energy infrastructure reduces gender inequality. infrastructure development has gender inequality increasing effects in some countries and gender inequality reducing effects in others. The pattern suggests that at the continental level a Kuznets-type patten in the relationship between gender inequality and infrastructure development, gender inequality and size of informal sector, and gender inequality and GDP per capita exists. Some countries are in the region where changes in these covariates positively correlate with gender inequality, while others are in the region where further increases in the covariates reduce gender inequality.

This article presents an analysis of Russia’s outward foreign direct investment based on the balance of payments. The country has been affected by the “Dutch disease,” characterized by a heavy reliance on the mining industry and revenues from oil and gas exports. The financial account reveals a consistent outflow of capital from Russia, surpassing inflows. A significant portion of domestic investment goes abroad, often to offshore destinations. This capital outflow has not been fully offset by foreign capital inflows. These findings underscore the challenges faced by Russia in managing its financial position, including the need to address capital outflows, diversify the economy, and reduce dependence on raw material exports. Furthermore, this article aims to identify the presence of Russian capital in OECD countries by comparing data from the Central Bank of Russia and the OECD. The analysis reveals significant discrepancies between the two datasets, primarily due to unavailable or confidential information in the OECD dataset. These variations can also be attributed to differences in methodology and the specific nature of Russian outward direct investments, particularly those involving offshore jurisdictions. As a result, accurately determining the extent of Russian capital in OECD countries based on the available data becomes a challenging task (including for the tourism industry as well).