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The purpose of the paper is to examine macroeconomic and institutional factors that influence capital flows to low-income sub-Saharan African (SSAn) countries. It analyzes capital flows in a disaggregated manner: foreign divert investment, portfolio equity and portfolio debt. There is a gap in the empirical literature in examining the factors that are important for various types of capital flows to low-income SSAn countries. Low-income SSAn countries attract very low levels of foreign investment compared to other developing economies in the SSAn region and other developing economies and this paper attempts to make a contribution in this area.

This paper examines data on capital flows and that of various push and pull factors. Trends and dynamics of capital inflows and their macroeconomic and institutional drivers are analyzed for low-income sub-Saharan African countries. Such an analysis has not been fully explored for low-income SSAn countries.

Capital inflows to low-income sub-Saharan Africa (SSA) have increased sevenfold since the 1990s, dominated by foreign direct investment (FDI). They overtook official development assistance and aid in the 2010s. Mozambique and Ethiopia attract the largest size of FDI compared to other low-income SSAn economies, with natural resources as key factors in the former. The largest share of FDI to low-income SSAn countries comes from other SSAn countries, mostly South Africa and Mauritius. Among macroeconomic push factors, capital inflows are more closely related to commodity prices, while the volatility index and global liquidity are also important. Among macroeconomic pull factors, trade openness and economic growth appear more closely related to capital inflows. The surge in capital inflows in the 2000s also followed the implementation of several regional trade and investment agreements in the region. The improvement in internal conflict in the 1990s and mid-2000s seems to have helped support the increase in capital inflows during that period. This institutional quality variable appears to more closely track capital inflows compared to other institutional quality indicators. There were also improvements in the investment profile, law and order, and government stability in the 1990s to early 2000s when capital inflows picked up.

This study focuses on low-income SSAn countries, which are less studied in the empirical literature and that face immense developmental needs that require foreign and domestic capital.

Findings of this paper can shed light to policy makers on the factors that are most important to help the region attract capital inflows and areas where further improvement is needed in the macroeconomic and institutional environment.

There is a gap in the empirical literature in examining the factors that are important for attracting capital flows to low-income SSAn countries. To our knowledge, this study may be the first to explore dynamics of capital flows against institional quality for low-income SSAn countries at a disaggregated level.

The purpose of this study is to understand the factors that contribute to the number of reported coronavirus (COVID-19) deaths among low-income and high-income countries, and to understand the sources of differences between these two groups of countries.

Multiple linear regression models evaluate the socio-economic factors that determine COVID-19 deaths in the two groups of countries. The Oaxaca–Blinder decomposition is used to examine sources of differences between these two groups.

Low-income countries report a significantly lower average number of COVID-19 deaths compared to high-income countries. Community mobility and the easiness of carrying the virus from one place to another are significant factors affecting the number of deaths, while life expectancy is only significant in high-income countries. Higher health expenditure is associated with more reported deaths in both high- and low-income countries. Factors such as the transport infrastructure system, life expectancy and the percent of expenditure on health lead to the differences in the number of deaths between high- and low-income countries.

Our study shows that mobility measures taken by individuals to limit the spread of the virus are important to prevent deaths in both high- and low-income countries. Additionally, our results suggest that countries with weak health institutions underestimate the number of deaths from COVID-19, especially low-income countries. The underestimation of COVID-19 deaths could be affecting a great number of people in poverty in low-income economies.

This paper contributes to the emerging literature on COVID-19 and its relation to socio-economic factors by examining the differences in reported between deaths between rates in low-income and high-income countries.

A substantial number of researchers have investigated the global economic dynamics of this time to disprove unconditional convergence and refute its very idea, stating the phenomenon of conditional convergence instead. However, most respective papers limit their investigation period with the early or mid-2000s. In the authors’ opinion, some of the global trends which revealed themselves particularly clearly in the second half of the 2000s call for a revision of the convergence issue. The paper aims to discuss these issues.

Several methodologies for measuring the global convergence/divergence trends exist in the economic literature. This paper seeks to contribute to the existing literature on unconditional β-convergence of the per capita incomes at the global level.

In the recent years, the gap between high-income and middle-income countries is decreasing especially rapidly. The gap between high-income and low-income countries, meanwhile, is decreasing at a much slower pace. At the same time, the gap between middle-income and low-income countries is actually widening. Indeed, in the early 1980s GDP per capita in the low-income countries was on average three times lower than in the middle-income countries, and this gap was totally overshadowed by the more than ten-time abyss between the middle-income and the high-income countries. Now, however, the GDP per capita in low-income countries lags behind the middle-income ones by more than five times, which is largely the same as the gap (rapidly contracting in the recent years) between the high-income and the middle-income countries. This clearly suggests that the configuration of the world system has experienced a very significant transformation in the recent 30 years.

The research concentrates upon the dynamics of the gap in per capita income between the high-income, the middle-income, and the low-income countries.

This paper's originality/value lies in drawing attention to the specific changes in the structure of global convergence/divergence patterns and their implications for the low-income countries.

The present study aimed to provide an understanding of the roles of community-based financial service organizations (i.e. rotating savings and credit associations [ROSCAs] as institutional pillars in facilitating low-income, unbanked consumers’ access to informal financial services).

Semi-structured interviews were conducted with 39 low-income, unbanked consumers participating in ROSCAs in Pakistan, where only 21% of adults have a bank account and almost four out of five individuals live on a low income. The obtained data were analyzed using the thematic analysis technique.

ROSCAs’ regulatory, sociocultural and cognitive aspects facilitate low-income, unbanked consumers’ utilization of informal financial services owing to their approachability by, suitability for, and fairness to such consumers. Thus, they promote such consumers’ financial inclusion.

Low-income consumers are mostly unable to access formal financial services due to the existing supply- and demand-side impediments. Understanding ROSCAs’ institutional functioning can help formal financial service providers create more transformative financial services based on the positive institutional aspects of ROSCAs to enhance poor consumers’ financial inclusion and well-being.

The inclusion of low-income, unbanked consumers in formal banking services will help them better control their finances.

Many low-income, unbanked consumers in developing countries utilize informal financial services to meet their basic financial needs, but service researchers have rarely investigated how informal financial institutions function. The present study showed that ROSCAs, as informal institutions, meet low-income, unbanked consumers’ personal, social and financial needs in a befitting manner, which encourages such consumers to use the financial services offered by ROSCAs.

This study aims to contribute to the existing literature by empirically investigating the impact of digital competitiveness and technology on corruption under the moderating effect of some cultural and economic control variables and providing evidence on the links between corruption and various cultural dimensions at the country level.

The cross-sectional sample covers 61 countries (41 high-income and 20 lower-income countries) during the 2016–2020 period, and the analysis was carried out for both the full sample and the subsamples.

The results provide clear evidence supporting the hypothesis that digitalisation and technology significantly affect the perceived level of corruption under the moderating role of cultural framework and economic development. Furthermore, the most significant cultural dimensions of corruption are individualism versus collectivism, uncertainty avoidance, long-term orientation and indulgence versus restraint, even if, in some cases, its influence might be felt differently when the results are estimated on subsamples. Thus, in the case of indulgence versus restraint, high-income countries with higher indulgence scores would register higher scores for the corruption perception index and thus a better control of corruption, while for lower-income countries, the more indulgent these countries are, the weaker the corruption control will be. Furthermore, our results validate a powerful and significant correlation between the index of economic freedom and corruption in both digitalisation and technology.

This study may have relevant implications for policymakers who need to recognise the role of digitalisation and technology in the fight against corruption but considering the cultural and economic characteristics specific to each country.

To the authors' knowledge, the relationship between digital competitiveness, technology and corruption within an economic and cultural framework, while highlighting the differences between high-income and lower-income countries, has not been previously documented in the literature. Thus, this article argues that the level of digital competitiveness and the adoption of technology would significantly impact the level of perceived corruption, although this impact could be felt differently by countries in the high-income category compared to countries in the lower-level income category.

This research aims to explain the effect of financial indicators and economic growth on human capital in low-income countries.

We gathered balanced panel data from 1980 to 2016 over a sample of 12 low-income countries categorized by World Development Indicators. The data stationary properties were analyzed by unit root test while the existence of a long-run relationship among the variables was confirmed by cointegration test. We performed Hausman test to differentiate between the fixed effect and random effect model. The sensitivity analysis confirmed the robustness of the results.

Our findings indicated that broad money supply and private sector credit has a positive and significant impact on human capital. Interestingly, bank credit showed a negative and significant effect on human capital. We also found a significant positive relationship between human capital and economic growth in the study sample.

This is a preliminary study using financial development and human capital in low-income countries with panel econometric techniques as an analysis tool. Overall, we suggest a policy to focus on the financial sector development and economic growth to produce sustainable human capital.

This study examines the causal relationship between exports and economic growth in sub-Saharan African (SSA) countries during the period 1980 to 2017. The study also examines whether the causality between these two macroeconomic variables depends on the countries' stage of development as proxied by their per capita income.

The study uses a panel cointegration test and panel Granger-causality model to examine the link between exports and growth. The study also incorporates external debt as an intermittent variable in a bivariate setting between exports and economic growth, thereby creating a dynamic multivariate panel Granger-causality model.

Although the study found the existence of a long-run relationship between exports and economic growth, the study failed to find any export-led growth response in both low-income and middle-income countries. Instead, the study found evidence of a bidirectional causality and a neutrality response in middle-income and low-income countries, respectively. The study, therefore, concludes that the benefits of an export-led growth hypothesis may have been oversold, and that the strategy may not be desirable to some low-income developing countries.

These findings have important policy implications as they indicate that the causality between exports and economic growth in SSA countries varies with the countries' stage of development. Consistent with the contemporary literature, the study cautions low-income SSA countries against over-relying on an export-led growth strategy to achieve a sustained growth path as no causality between exports and economic growth has been found to exist in those countries. Instead, such countries should consider pursuing new growth strategies by building the domestic demand side of their economies alongside their export promotion strategies in order to expand the real sector of their economies. For middle-income countries, the study recommends that both export promotion strategies and pro-growth policies should be intensified as economic growth and exports have been found to reinforce each other in those countries.

Unlike the previous studies, the current study disaggregated the full sample of SSA countries into two subsets – one comprising of low-income countries and the other consisting of middle-income countries. In addition, the study uses a multivariate Granger-causality model in order to address the emission-of-variable bias. To our knowledge, this may be the first study of its kind in recent years to examine in detail the causal relationship between exports and economic growth in SSA countries using an ECM-based multivariate panel Granger-causality model.

本研究旨在探討在1980年至2017年期間撒哈拉以南非洲國家的出口、與其經濟增長之間的因果關係，亦探討這兩個宏觀經濟變量之間的因果關係、會否取決於有關國家所處以人均收入來衡量的發展階段。

本研究雖然發現出口與經濟增長存有一個長期性關係，唯未能於低收入國家或中等收入國家、找到任何出口帶動的增長反應。研究反而找到證據，證實中等收入國家為一雙向性因果關係反應，而低收入國家則為一中立性反應。因此，研究的結論是：出口必能帶動經濟增長這假設被過度吹噓，而且，對部份低收入發展中國家而言，實施以出口帶動經濟增長的策略或許是沒有用的。

本研究的結果在政策方面有其重要意義。這是因為研究結果顯示、於撒哈拉以南非洲國家、出口與經濟增長之間的因果關係，會因有關國家所處的發展階段而有所變更。與當代文獻一樣，本研究提醒低收入的撒哈拉以南非洲國家，不要過度依賴以出口帶動增長的策略來謀求踏上持續增長之路，這是因為在這些國家，出口與經濟增長之間的因果關係仍未確立。他們反而應考慮推行新增長經濟策略，方法是在實施推動出口的策略的同時，也要建立其經濟的國內需求面，以擴大其經濟實業部門。就中等收入國家而言，本研究建議他們應增強推動出口的策略及強化促進增長的政策，這是因為在這些國家裏，經濟增長及出口已被證實會互為增強。

有別於過去的研究，本研究把撒哈拉以南非洲國家的整體樣本分解為兩個子集：一個包括低收入國家，另一個則包括中等收入國家。而且、研究使用了多變量面板格蘭傑因果關係模型、以處理遺漏變數偏差的問題。據我們了解，這大概是近年首個同類研究、以基於歐洲共同市場多變量面板格蘭傑因果關係模型、來詳細探討於撒哈拉以南非洲國家、出口與經濟增長之間的因果關係。

This research investigates the threshold effects of the interplay between finance, development and carbon emissions across 97 countries, including 50 low-income and 47 high-income countries, during the period from 1991 to 2019.

Employing various econometric modeling techniques such as dynamic linear regression, dynamic panel threshold regression and in/out of sample splitting, this study analyzes the data obtained from the World Bank's world development indicators.

The results indicate that low-income countries require a minimum financial development threshold of 0.354 to effectively reduce carbon emissions. Conversely, high-income countries require a higher financial development threshold of 0.662 to mitigate finance-induced carbon emissions. These findings validate the presence of a finance-led Environmental Kuznet Curve (EKC). Furthermore, the study highlights those high-income countries exhibit greater environmental concern compared to their low-income counterparts. Additionally, a minimum GDP per capita of US$ 10,067 is necessary to facilitate economic development and subsequently reduce carbon emissions. Once GDP per capita surpasses this threshold, a rise in economic development by a certain percentage could lead to a 0.96% reduction in carbon emissions across all income levels.

This study provides a novel contribution by estimating practical financial and economic thresholds essential for reducing carbon emissions within countries at varying levels of development.

The purpose of this paper is to simulate the indirect and direct effects of remittances in developing countries.

The paper estimates a dynamic macroeconomic model and estimates the short‐run and long‐run dynamic multiplier effects of hypothetical temporary changes in remittances, as well as simulates the permanent effects of observed remittances.

The results indicate positive multiplier effects in general, and they also reveal a substantial variability across income categories and regions. The results indicate that low‐income economies are more inclined to spend their incomes on consumption and investments than middle‐income economies and, therefore, have a higher short‐run potential gain from receiving remittances. Low‐income economies typically reside in Sub‐Saharan Africa, whereas middle‐income economies are mainly found in East Europe, Latin America and North Africa and the Middle East. However, actual gains from remittances are highest in lower middle‐income economies because these countries receive more remittances. Generally, the short‐run effects are higher than the long‐run effects due to a sustained dependence of imported goods and services.

The paper analyzes the effects of remittances on components in aggregate demand.

The results support the World Bank's current policy recommendation that remittances should be promoted.

The paper corrects the algebraic solution for dynamic multiplier effects in Glytsos's work, written in 2005, and estimates the model for a macroeconomic panel containing 115 developing countries. The paper considers the effects of the net flows of remittances rather than of inflows only.