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The purposes of the paper are as follows: (1) Analysing the effect of financial inclusion on financial stability. (2) Examining whether financial inclusion non-linearily impacts financial stability. (3) Analysing whether the effect of financial inclusion varies across quantiles of financial stability. (4) Investigating whether dimensions of financial inclusion affect financial stability differently. (5) Examining whether the effect of financial inclusion on financial stability depends on competitiveness of the banking industry.

Using panel data for 19 African countries for the period 2006–2022, we first developed multidimensional index of financial inclusion using two-stage indexing approach. Then employing panel semiparametric regression, we analyse the non-linear nexus between financial stability and financial inclusion. We further employ panel quantile regression to investigate the differential effect of financial inclusion at different quantiles of financial stability. We also employed two-stage least squires, and alternative measurement of financial stability as robustness checks.

Employing panel semiparametric regression, we demonstrate that the financial inclusion-stability nexus exhibits non-linearity: below (above) threshold level financial inclusion promotes (reduces) financial stability. Employing panel quantile regression, we find that the effect of financial inclusion increases at higher quantiles of financial stability. We further demonstrate that the effect of financial inclusion on financial stability is pronounced in a more competitive bank industry. The findings are robust to two-stage least squares estimation, and alternative measurement of financial stability. The results suggest that keeping a balance between achieving stable and inclusive financial system, and ensuring a competitive banking industry are essential to achieve bank soundness while promoting financial inclusion.

The study incrementally contributes to the literature related to the financial inclusion – stability nexus in four-fold. First, unlike studies that relied on some indicators of financial inclusion, we employed the effect of multidimensional financial inclusion on financial stability and further examined whether or not the effect varies across financial inclusion dimensions. Second, unlike studies that assumed a linear nexus between financial inclusion and stability, employing panel semiparametric regression, we investigated for non-linear relationship between the two. Employing a novel panel quantile estimation approach, we further scrutinised whether the effect of financial inclusion varies across quantiles of financial stability. Third, to our knowledge, our study is the first to examine the effect of multidimensional financial inclusion on bank soundness in Africa.

1. We find a non-linear nexus between financial inclusion and financial stability.

2. Financial inclusion below (above) threshold enhances (reduces) financial stability.

3. The effect of financial inclusion is pronounced at higher quantiles of financial stability.

4. The effect of financial inclusion on financial stability depends on bank competition.

5. The results hold across different dimensions of financial inclusion.

We find a non-linear nexus between financial inclusion and financial stability.

Financial inclusion below (above) threshold enhances (reduces) financial stability.

The effect of financial inclusion is pronounced at higher quantiles of financial stability.

The effect of financial inclusion on financial stability depends on bank competition.

The results hold across different dimensions of financial inclusion.

The purpose of this study is to assess the influence of institutional quality (IQ), fossil fuel efficiency, structural change and renewable energy (RE) consumption on carbon efficiency.

This research uses an econometric approach, more specifically the Autoregressive Distributed Lag model, to examine the relationship between structural change, RE consumption, IQ, fossil fuel efficiency and carbon efficiency in India from 1996 to 2019.

This study finds the positive contributions of variables like fossil fuel efficiency, technological advancement, structural transformation, IQ and increased RE consumption in fostering environmental development through enhanced carbon efficiency. Conversely, this study emphasises the negative contribution of trade openness on carbon efficiency. These findings provide concise insights into the dynamics of factors impacting carbon efficiency in India.

This study's exclusive focus on India limits the generalizability of findings. Future studies should include a broader range of variables impacting various nations' carbon efficiency. Furthermore, it is worth noting that this study examines renewable and fossil fuel efficiency aggregated. Future research endeavours could yield more specific policy insights by conducting analyses at a disaggregated level, considering individual energy sources such as wind, solar, coal and oil. Understanding how the efficiency of each energy source influences carbon efficiency could lead to more targeted and practical policy recommendations.

To the best of the authors’ knowledge, this study addresses a significant gap in the existing literature by being the first empirical investigation into the effects of IQ, fossil fuel efficiency, structural change and RE consumption on carbon efficiency. Unlike prior research, the authors consider a comprehensive IQ index, providing a more holistic perspective. The use of a comprehensive composite index for IQ, coupled with the focus on fossil fuel efficiency and structural change, distinguishes this study from previous research, contributing valuable insights into the intricate dynamics shaping India's path towards enhanced carbon efficiency, an area relatively underexplored in the existing literature.

In light of Bangladesh’s economy, the goal of this study is to examine the “Twin Deficit Hypothesis (TDH),” which refers to a link between the budget deficit and the current account deficit. This study used yearly time series data from 1980 to 2020 to investigate the phenomena.

A multivariate autoregressive distributive lag (ARDL) model has been presented for empirical investigation, with the ARDL bound test investigating the co-integration between the inadequacies. As some of the variables in the bound test lack co-integration, the study adds a multivariate vector autoregressive (VAR) model later on.

With evidence of the result, the study supports the validation of twin deficit hypothesis in Bangladesh economy since both current account deficit and fiscal deficit affects each other significantly whereas Granger causality test confirms that fiscal deficit causes current account deficit but not the other way around.

The government should maintain a restrictive monetary policy in order to stabilize the current account deficit.

The novelty of this study is the incorporation of inflation, real exchange rate and GDP per capital to TDH that together form the basis for a macroeconomic snapshot of the economy.

This study examines the impact of urbanization on growth and the role of international financial flows in the urbanization-growth nexus.

The study applies the panel least square estimation to examine the impact of urbanization on growth using panel data from 50 developing countries from 1980 to 2016. Further, addressing the endogeneity issues in panel estimations, the study applies the dynamic System-GMM approach to investigate the role of financial flows in urbanization and their impact on economic growth in developing countries.

Contrary to the conventional literature, we found a non-linear (U-shaped) relationship between urbanization and growth. Our findings demonstrate that growth is reduced at a lower level of urbanization due to less availability, concentration, and synchronization of production factors. The concentration of physical and human capital and technological advancement in urban areas help developing countries achieve economic growth at a higher level of urbanization. Robust estimations divulged that foreign aid spent on infrastructure development and expanding urban regions helps promote economic growth. Nevertheless, as a resilient factor, remittances buffer the rapid pace of urbanization and reduce growth by resisting the migration of labor and capital from rural to urban areas.

The paper's findings suggest policymakers promote urban infrastructure and development using local and international funds since its increased level spurs economic growth. Further, the results advise policymakers to reduce aid dependency, attract FDI, and facilitate the easy and low-cost transfer of money to promote remittance inflows since both FDI and remittances positively contribute to economic growth.

The paper contributes significantly to the literature by determining the U-shaped relationship between urbanization and growth and highlighting the role of international flows in the urbanization-growth nexus.

The prospect of Sub-Saharan Africa (SSA) as an apparel-sourcing base for US fashion companies has been a growing heated debate among academia, industry practitioners and policymakers. This study aims to evaluate SSA countries’ readiness to serve as an alternative sourcing destination to Asia for US fashion companies, focusing on comparing the similarities and differences of US apparel imports from these two regions at the product level.

This study was based on a statistical analysis of detailed product features and assortment information of thousands of apparel items at the stock-keeping unit level sold by US retailers between January 2021 and December 2023.

US fashion companies seemed to leverage SSA countries as suppliers of “niche products,” such as those relatively simple and basic apparel categories containing African cultural elements and targeting the luxury and premium market segment. However, the range of apparel products available for US fashion companies to source from the SSA region remained significantly more limited than those from Asia. Also, US apparel imports from SSA countries were primarily made of cotton and polyester, with less use of other fiber types, including nylon, rayon, viscose, wool and those made from recycled textile materials.

The study’s findings provided fresh insights into why US fashion companies sourced from SSA countries and the specific types of products they were sourcing, going beyond existing studies based on macro trade statistics. The results also deepened the understanding of SSA countries’ competitiveness as an apparel-sourcing destination and their potential to serve as an alternative to sourcing from Asia, particularly from a unique product perspective.

This study is carried out to investigate the effects of tourism expenditure, technological development and foreign direct investment on tourism development in the United States of America, a top international tourism destination in the world, from 1995 to 2021.

To this end we use the Autoregressive Distributive Lag method which captures short and long run effects. This method is also fundamental in presenting robust results when time series data with short time periods is used. The FMOLS and DOLS methods are used to ensure the robustness of the findings.

The results of the Autoregressive Distributive Lag indicate that spending on tourism contributes to the growth of the tourist industry in the country. The study reveals that economic growth has a detrimental impact on the development of tourism. Furthermore, carbon emissions are exclusively impeding the long-term progress of tourism development. The country's prioritization of economic growth has led to a rise in carbon emissions, disregarding the desire of tourists to experience a pollution-free and natural environment. Moreover, foreign direct investment exerts a beneficial impact on the advancement of tourism.

Although there has been numerous research on the factors that influence tourism, there is less documentation on the specific factors affecting tourism development. The research examines the effect of carbon emission of tourism development of United States, the World's top tourism destinations. Few studies have attempted to unlock this association in the United States; hence, the research originality.

The purpose of this study is to explore the impact of cost transparency introduced by the Remittance Prices Worldwide (RPW) online transaction cost comparison tool on remittance inflows of remittance recipient countries in emerging economies.

Panel fixed-effect model was employed to test the hypothesis focussing on the period five years before and five years after the adoption of the RPW tool. Macroeconomic determinants of international remittances were also included in the model, and the study focused on 115 emerging economies.

The econometric results reveal that financial development, gross domestic product (GDP) and inflation encourage remittance inflows, whereas interest rate and age dependency ratio discourage remittances. Political stability and migrant stock seem not to influence remittances flowing into emerging markets.

Empirical evidence corroborates the hypothesis that an increase in cost transparency boosts remittance flows. The findings suggest cost transparency is another lever for policymakers to target in boosting remittance flows.

COVID-19 has alerted all stakeholders to the serious challenges of biothreats to humanity and its progress. Tourism as a business has been one of the worst sufferers from the COVID-19 impacts and has been held responsible to an extent for the spread of the virus. The ‘containment, isolation, and restrictions’ of biosafety and biosecurity measures exposed the vulnerability of the tourism industry. The densely populated urban areas in India can always be hot spots for the spread of biovectors from similar biothreats in the future, with a more significant threat to employment from mitigation measures. This theoretical paper combines research from medical science, biology, tourism, and other related areas to develop a thesis that social scientists can add value in designing socially acceptable measures for scientific solutions recommended by experts from medical and other related fields. The general environment of health and hygiene in India needs to be made safer for its population and tourists as a first-level strategy to reduce the risks of biothreats. The next level strategy shall be dominated by science to suggest mitigation measures with parallel action by tourism stakeholders for a socially acceptable face of safety measures.

This study forecasts the government expenditure components in Nigeria, including recurrent and capital expenditures for 2021 and 2022, based on data from 1981 to 2020.

The study employs statistical/econometric problems using the Feasible Quasi Generalized Least Squares approach. Expenditure forecasts involve three simulation scenarios: (1) do nothing where the economy follows its natural path; (2) an optimistic scenario, where the economy grows by specific percentages and (3) a pessimistic scenario that defines specific economic contractions.

The estimation model is informed by Wagner's law specifying a positive link between economic activities and public spending. Model estimation affirms the expected positive relationship and is relevant for generating forecasts. The out-of-sample results show that a higher proportion of the total government expenditure (7.6% in 2021 and 15.6% in 2022) is required to achieve a predefined growth target (5%).

This study offers empirical evidence that specifically requires Nigeria to invest a ratio of 3 to 1 or more in capital expenditure to recurrent expenditure for the economy to be guided on growth.

The chapter highlights the role of cooperation as a conduit through which diverse territorial identities can harmoniously contribute to realizing the SDGs. By embracing the principles of meaningful engagement, shared purpose, equality, and formalization, cooperative initiatives metamorphose into catalysts for fostering sustainable transformation. In this context, cooperation assumes a focal role in bridging gaps, nurturing comprehension, and establishing a fertile ground where collective aspirations converge. This convergence results in outcomes that not only propel developmental objectives forward but also pay homage to and elevate the distinctive identities that render each territory a crucial participant in the global quest for a sustainable future. Territorial identities encompass the cultural, social, and historical facets that delineate and distinguish specific regions or communities. These facets exert potent influence in shaping viewpoints, values, and conduct, deeply embedded in the shared consciousness. When interwoven with collaborative undertakings, territorial identities not only enrich the cooperative process but also imbue it with genuineness and significance.