Development Aid, Economic Growth Volatility and Poverty Volatility in Developing Countries

This article has analysed the effect of development aid flows on poverty volatility in developing countries, including through the economic growth volatility channel. Using a sample of 106 countries over the period 1980-2017, and the two-step system Generalized Methods of Moment (GMM) technique, the analysis has shown that development aid flows dampen the positive poverty volatility effect of economic growth volatility: the magnitude of the negative effect of development aid on poverty volatility rises as the degree of economic growth volatility increases. Additionally, development aid exerts a higher negative effect on poverty volatility as countries face higher poverty rates. These findings highlight the importance of development aid for stabilizing poverty rates.

New Concepts about DOL-DFL Nexus: The Relationships with Market Sensitivities, Firm-Specific Risk and Other Issues

This paper investigates several issues related to the Degree of Operating Leverage (DOL) and the Degree of Financial Leverage (DFL) in the light of advanced concepts on the matter proposed by recent studies. In particular, the paper treats mainly the relationships between DOL and market sensitivities and the impact of the uncertainty on DOL and DFL volatility together with minor issues. We used the DOL function already developed to analyse what market conditions facilitate or hinder, with or without economies of scale, Revenue development or a profit-maximising policy. DOL records the reaction coming from the factor and product markets together with the management decision process. DOL highlights whether the current economic strategy is, or not, successful and why, so that management can perceive clues to evaluate both the policy and its implementation. The uncertainty related to six fundamental economic variables determining EBIT and Net Profit growth volatility eventually contaminates DOL and DFL. Not all such variables impact DOL and DFL volatility, but when it happens, the firm’s risk is representable through the asymptotes of the DOL and DFL curves generated by each specific variable. Such a risk rate is independent of the chosen uncertainty range and is firm unique in any financial period. In normal economic conditions, DOL undervalues firm-specific risk while DFL carries out a containment function. The higher risk rate comes from the unit price change, that coupled with a sturdy quantity/mix growth, could induce negative economic and financial results.

Productive Capacities, Economic Growth and Economic Growth Volatility in Developing Countries: Does Structural Economic Vulnerability Matter?

Recent years’ global shocks (e.g., the 2008 financial crisis and the COVID-19 pandemic) and environmental shocks — such as natural disasters — have heightened the vulnerability of developing countries to future shocks, and can compromise their development prospects. International institutions and researchers have advocated that the strengthening of productive capacities in these countries would help enhance the resilience of their economies to shocks, and promote sustainable development. This paper has examined the effect of productive capacities on economic growth and economic growth volatility in developing countries, in particular when they face a high level of structural economic vulnerability. The analysis covers 117 developing countries over the period of 2000–2018. It shows that productive capacities not only promote economic growth, but also reduce economic growth volatility. On the other hand, structural economic vulnerability reduces economic growth (in particular when it exceeds a certain level), and induces greater volatility of economic growth. Interestingly, productive capacities promote economic growth and reduce economic growth volatility in countries that face a high degree of structural economic vulnerability. These findings support the recommendation by international institutions and researchers that if they were to enhance the resilience of their economies to shocks, and promote sustainable economic growth, developing countries (in particular the poorest ones) should strengthen their productive capacities.

Foreign Direct Investment and Output Volatility Nexus: A Global Analysis

Volatility in output growth remains a genuine concern around the globe because of its detrimental effects on growth, poverty and welfare. In the realm of output volatility, the role of FDI and its consistency is particularly important and worth considering. This article examines the role of FDI inflows and specifically the instability in it on output growth volatility using a panel dataset of 141 world economies for the period 1971–2017. The study employs a variety of estimation techniques like pooled ordinary least squares (POLS), LS fixed effects (FE), LS random effects (RE), two stage least squares (2SLS) and generalised methods of moments (GMM). Findings of the study suggest that FDI acts as the volatility reducing factor, whereas uncertainty in it increases output volatility. On the policy front, this study recommends policies that not only encourage FDI inflows but also ensure the inflows to be more consistent and stable. Our results are robust corresponding to various above-mentioned estimation techniques and sensitivity analysis. JEL Codes: C23, E32, F21

Causality between Energy Consumption and Economic Growth in the Presence of Growth Volatility: Multi-Country Evidence

Falling energy intensity (increasing efficiency) is believed to be a result of more efficient production methods that have evolved over time, indicating overall sustainability in the production process. The objective of this study is to investigate the diminishing trend of energy intensity and the related volatilities in growth of energy consumption and income growth through the energy–growth nexus. The country specific long-run and short-run causal relationships among real energy consumption per capita, real GDP per capita, and the volatilities of growth in income and the growth in energy consumption are established using the method proposed by Yamamoto–Kurozumi within a cointegration framework in 48 countries. The overall findings suggest that energy intensity is falling, in conjunction with the existing evidence on the energy–growth nexus in most of the countries studied; hence, implicitly this confirms sustainability. The results based on volatility analysis show a significant decrease in energy use in response to increasing income growth volatility. The negative effects of income growth volatility on energy consumption are usually countered through compensation measures, with subsidies provided to households and producers in order to smooth the energy consumption behaviours in those economies.

Tax revenue instability and tax revenue in developed and developing countries

Purpose This paper aims to explore the effect of non-resource tax revenue instability on non-resource tax revenue in developed and developing countries. Design/methodology/approach The analysis has used an unbalanced panel data set of 146 countries over the period 1981–2016, as well as the two-step system generalized methods of moment approach. Findings The empirical analysis has suggested that non-resource tax revenue instability influences negatively non-resource tax revenue share of gross domestic product. The magnitude of this negative effect is higher in less developed countries than in relatively advanced countries. This negative effect materializes through public expenditure instability: non-resource tax revenue instability exerts a higher effect on non-resource tax revenue share as the degree of public expenditure instability increases. Finally, non-resource tax revenue instability exerts a higher negative effect on non-resource tax revenue share as economic growth volatility rises, inflation volatility increases and terms of trade instability increases. Research limitations/implications The main policy implication of this analysis is that policies that help ensure the stability of non-resource tax revenue also contribute to improving countries’ non-resource tax revenue share. For example, governments’ measures that help cope with or prevent the severe adverse effects of shocks on economies (shocks that could translate into higher tax revenue instability) would ultimately help enhance countries’ tax revenue performance. Practical implications The severity of the current COVID-19 pandemic shock (which is a supply and demand shock) and the macroeconomic uncertainty that it has generated – inter alia, in terms of economic growth instability, terms of trade instability, inflation volatility and public expenditure instability – are likely to result in severe tax revenue losses. Governments in both developed and developing countries would surely learn from the management of this crisis so as to prepare for possible future economic, financial and health crises with a view to dampening their adverse macroeconomic effects, including here their negative tax revenue effects. Originality/value To the best of the author’s knowledge, this topic is being addressed in the empirical literature for the first time.

Wealth Rheology

We study wealth rank correlations in a simple model of macroeconomy. To quantify rank correlations between wealth rankings at different times, we use Kendall’s τ and Spearman’s ρ, Goodman–Kruskal’s γ, and the lists’ overlap ratio. We show that the dynamics of wealth flow and the speed of reshuffling in the ranking list depend on parameters of the model controlling the wealth exchange rate and the wealth growth volatility. As an example of the rheology of wealth in real data, we analyze the lists of the richest people in Poland, Germany, the USA and the world.