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It has been already established that the countries that have opened their economies in advance have reaped more benefits compared to those who have done it late. For example, the countries of the West are far away from the countries of the East in terms of the per capita incomes as because, besides others, the magnitudes of trade openness of the former are higher compared to that of the latter. Besides countries, there are some economic groups such as European Union, Organization of Economic Cooperation and Development (OECD), etc. who have proved the similar growth impacts of trade. There is another group of highly developing economies, with the acronym of BRICS (Brazil, Russia, India, China and South Africa), which has proved as being highly beneficiaries of the trade liberalisation. But the magnitudes of trade openness and their impacts in these countries are subject to further explorations using modern data. The present chapter aims to compute trade openness using two different methods for the BRICS countries and make association of it with growth and foreign currency reserves (FCRs) for the period 1991–2019. In addition, the study examines whether the FCR is sustainable. It observes positive and negative correlations between economic openness and gross domestic product (GDP) growth and FCR in the member nations leading to mean that trade openness has definitely contributed to the growth as well as accumulation of FCRs. But, the trends in the FCRs are unsustainable in the BRICS nations.

This paper aims to reexamine the relationship between financial openness and financial development in Ghana.

The study applied maximum likelihood estimation and autoregressive distributed lag approach and tested Granger causality using quarterly data from 1990:1 to 2020:4.

This study revealed a long-run equilibrium relationship between financial openness and development, indicating that financial openness is a critical factor in Ghana’s financial development. Therefore, the study recommends with caution that policies aimed at promoting financial openness could be an effective way to encourage sustainable financial development in Ghana, as financial openness alone may not bring the desired outcome.

The study contributes to the existing body of knowledge by providing empirical evidence of the link between financial openness and financial sector development in Ghana. Future research could delve deeper into the mechanisms through which financial openness affects financial development, exploring potential channels and transmission mechanisms.

The findings suggest that policymakers, particularly the Ministry of Finance and the Bank of Ghana, should prioritize policies aimed at promoting financial openness. This includes continued efforts toward financial liberalization and creating an environment conducive to domestic and international financial transactions. Moreover, policies aimed at increasing trade openness, boosting real GDP and maintaining moderate real interest rates are essential for fostering financial sector development.

Enhancing financial sector development can have significant implications for society, including increased access to financial services, improved economic opportunities and enhanced overall economic stability. By promoting financial openness and development, policymakers would contribute to poverty reduction, job creation and overall socio-economic development. The study bridges the gap between theory and practice by providing empirical evidence supporting the theoretical proposition that financial openness stimulates financial sector development.

This study fills a crucial gap in the literature on the effects of financial openness on Ghana’s financial sector development. It focuses on Ghana, which liberalized its financial sector in 1988 as part of the overall economic reforms in 1983, and this justifies the starting point of this paper in 1990, as there are no adequate data before 1990. The study uses principal component analysis to construct an index that measures financial development. The study considers the recent financial crises in Ghana in 2017 and underscores the importance of understanding the link between financial openness and financial development, which becomes useful for policymakers and researchers studying financial system development in sub-Saharan Africa which includes Ghana.

This study aims to shed light on the experience of the United Arab Emirates (UAE) in balancing three main pillars: the environmental criteria, the reduction of CO₂ emissions and the economic growth. Based on the environmental Kuznets curve (EKC) framework, it will assess the causal relationship between economic indicators such as gross domestic product (GDP) per capita, trade openness and energy use and environmental indicators such as CO₂ emissions.

The analysis relies on a period of 40 years (1981–2020) where data is extracted from the World Bank database. This study uses the unit root test for time series stationarity, the optimal lag length test, the “Johansen” test for co-integration and the vector error correction model.

The paper concludes to two major findings. On a short-term basis, CO₂ emissions and economic indicators are negatively correlated, whereas on a long-term basis, there is no association between CO₂ emissions and economic indicators in the UAE.

The research ends with important recommendations. It illustrates the importance of rationalizing the use of primary resources and the necessity to embrace successful and efficient policies in the energy production.

More specifically, UAE is urged to address the problem of CO₂ emissions in the electricity sector and increase awareness of the use of environmentally friendly processes in the transport and industrial sectors. While setting their economic agendas, UAE are encouraged to meet environmental criteria and invest in renewable energy projects such as “Shams 1”, the largest solar power plant outside of Spain and the USA.

The current study is significant in its research on the environmental impact of economic development, trade openness and energy use policies in the UAE. It uses CO₂ emissions as an environmental proxy and evaluates the environmental policies adopted in the UAE to reduce its impact.

This study aims to investigate the effect of total external debt stock on economic growth of the East African Community (EAC) bloc.

The study applies balanced panel data for seven of the eight EAC member states, spanning the period from 2013 to 2022, and uses panel data models, i.e. pooled ordinary least squares, random and fixed effects models.

The findings reveal a significant positive correlation between total external debt stock and economic growth, supporting the economic theory that reasonable levels of borrowing can stimulate economic growth, particularly when funds are channeled into productive activities. However, the relationship between foreign direct investment and economic growth lacks statistical significance, indicating challenges in attracting sufficient investment for substantial growth within the EAC bloc. Trade openness shows a negative and statistically insignificant correlation with economic growth. Additionally, the study finds a positive and significant correlation between the unemployment rate and economic growth, while the inflation rate demonstrates a positive but statistically insignificant relationship with economic growth.

The study recommends improvements in debt management practices, enhancements in the business environment, infrastructure investments, a reassessment of trade policies and initiatives to stimulate job creation and SME development. More importantly, governments should focus on expanding the tax base in ways that stimulate growth, thereby reducing reliance on external debt.

This study is unique as it revisits the effect of external debt stock on economic growth following Somalia’s recent membership in EAC bloc.

Prioritizing the shift from a traditional economy towards complex integrated economies has been the top priority among policymakers to achieve sustainable development goals (SDGs). Countries involved in economic integration must safeguard their labor markets. The Developing-8 (D-8) is an alliance of economic cooperation including Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan and Turkey, all of which are among the world’s largest labor-abundant countries but have insufficient attention toward labor market policies, especially in gender roles. This issue motivated this study, which aims to investigate the impact of economic complexity on trade through with the interaction of gender equality.

The annual data for the panel of D-8 countries from 1990 to 2020 were collected. The Driscoll and Kraay (D-K) regression was employed for empirical investigation after observing the presence of autocorrelation, heteroscedasticity and cross-sectional dependency (CSD) across the sample.

Findings show that the economic complexity index (ECI) and gender equality (GE) have a significant impact on trade openness (TO). Moreover, the interaction of GE and ECI strengthens the relationship between ECI and TO. Therefore, both factors worked together to enhance the trading system by supplying the nation with highly sophisticated and complex products.

Policymakers in D-8 countries should enable equal access to resources, investment and decision-making for both men and women. This leads toward stubble, innovative and complex products that enhance trade and goodwill in the international market.

This study incorporated GE as an interaction term in economic complexity and TO in D-8 countries for the first time, to the best of the authors' knowledge.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0908

This paper makes a novel attempt to estimate the potential impact of credit risk on foreign direct investment (FDI hereafter), thereby focusing on a completely unexplored area in the existing empirical literature.

To provide a comprehensive understanding of the relationship between credit risk and FDI inflows, the study incorporates all the eight-member economies of the South Asian Association of Regional Cooperation (SAARC hereafter) and analyzes a panel data set, over the period 2011 to 2019, extracted from the World Development Indicators, using the suitable econometric techniques for the efficient estimations of the specified models.

The results indicate a negative and statistically significant relationship between the credit risk of the banking sectors and FDI inflows. Similarly, market size and inflation rate appear to be the two other main factors behind the increasing FDI inflows in the SAARC member economies. Interestingly, the size of the market became irrelevant in attracting FDI inflows when the Indian economy is excluded from the sample due to its higher economic weight. On the other hand, FDI inflows are not dependent on the level of trade openness, with most of the specifications showing either an insignificant or negative coefficient of the variable.

The obtained results are unique and robust to alternative methodologies, and hence, the SAARC economies could consider them as the critical inputs in formulating the appropriate policies on FDI inflows.

The findings are unique and original. The authors have established a relationship between credit risk and FDI for the first time in the SAARC context.

Economic literature highlights both positive and negative impact of FDI on economic growth. The purpose of this study is to confirm the relationship between various economic factors and FDI equity inflows and find out deviations, if any. This is investigated using standard time-series econometric models. The long and short run relationship is inquired with respect to market size, inflation rate, level of infrastructure, domestic investment and openness to trade. The choice of variables for Indian economy is purely based on empirical observations obtained from scientific literature review.

The study involves application of autoregressive distributive lag (ARDL) model to investigate the relationship. The long run co-integration between FDI and economic growth is tested by Pesaran ARDL model. The stationarity of data is tested by augmented Dickey Fuller test and Phillip–Perron unit root test. Error correction model is applied to study the short run relationship using Johansen’s vector error correction model method besides other tests.

The results show that the domestic investment, inflation rate, level of infrastructure and trade openness influence inward FDI flows. These factors have both long and short-term relationship with FDI inflows. However, market size is insignificant in influencing the foreign investments inflows. There lies an inverse relation between FDI and inflation rate.

To the best of the authors’ knowledge, the study is original. The methodology and interpretation of results are distinct and different from other similar studies.

Using different trade indices spanning 2018–2021, this chapter investigates Afghanistan's current patterns, prospects and barriers for intra- and inter-regional trade perspectives, emphasising the different pathways by which Afghanistan trades with Central Asian economies. The empirical findings demonstrate that the anticipated significance of trade between Afghanistan and Central Asia is double compared to the existing levels of trade. Furthermore, the analysis encompasses the categorisation of sectors based on the intensity of usage of production factors like resource, labour and technology. The analysis further elaborates on Afghanistan's trade potential with Central Asia and vice versa by highlighting the comparative advantage, diversification, complementarity and similarity in trade. The findings suggest that larger economies are rated higher than smaller ones as size and development level are essential factors in regional trade development. The most effective channels of regional trade development are price competitiveness measures, intra-industry trade and trade complementarities. These findings have a substantial influence on the development of different trade policy efforts to stimulate investment and trade within and among the two regions.

This paper aims to investigate the heterogeneous effects of macroeconomic and financial factors across various distributions of financial deepening in 22 African countries over the past two decades (2000–2019).

The paper uses a recent method of moments quantile regression, which accounts for the often overlooked heterogeneity effects. The analysis focuses on the banking sector, which is predominant in Africa, using a broad range of macroeconomic and financial indicators.

The findings show that gross domestic product per capita positively and significantly impacts financing deepening with an increasing marginal benefit as depth increases. Trade openness positively and substantially affects only high financial deepening. Real interest rate, real exchange rate and inflations negatively and significantly affect financial deepening, especially at higher than lower levels. Financial stability positively and substantially influences financial deepening with an increasing marginal benefit as the depth increases. Bank lending interest rate, bank lending–deposit rate spread, bank concentration and return on equity negatively and substantially impact higher levels of financial deepening than lower levels.

These findings are crucial to policymakers and development partners, as promoting a favourable financial environment and stable macroeconomic policies based on the heterogeneity of financial depths can increase debt financing in Africa.

To the best of the authors’ knowledge, this paper is one of the first attempts to analyse the heterogeneous effects of macroeconomic and financial determinants on varying levels of financial depth in Africa.

International business, environmental issues along with economic growth are the three of the most important aspects of development economics. One cannot deny the fact that a nation, in modern globalized world, cannot achieve high growth without getting into trade with rest of the world as well as without hurting the environment. Nations should not forget the fact that we are in the process of achieving Sustainable Development Goals which we have imposed upon ourselves for the sake of a safe world. BRICS nations are five such nations which not only account for more than 30% of the world's output but also have around 41% population. These features coupled with high growth rates of these nations make them the emerging economies with high chances to dominate the world economy in nearing decades. In this study, by the help of simultaneous equation model and panel data analysis, we have seen how far these three important issues are influenced by one another and related variables in these five nations. We have found that both gross domestic product (GDP) and trade-related variables have been influential upon one another. But these variables getting influenced by emission as well as influencing emission are areas of worries. Good economic growth coupled with safe environment in a globalized world is what we desire for which BRICS economies need to implement certain policies that would ensure their dominance in the world economy and save the environment.