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The purpose of this study is to examine empirically the impacts of gender differences, telecommunication technology (ICT) and other determinants on private savings in 28 selected Asia–Pacific countries.

This study employs the panel data from 2010 to 2017 across 28 selected Asia–Pacific countries. To enhance robustness and address the possibility of endogeneity issue, the present study utilises the fixed effect instrumental variable (IV) estimator to estimate the private savings model for Asia–Pacific region.

The present study finds that private savings is positively related to disposable income and ICT, but it is negatively associated with the degree of dependency. However, the association between interest rates and private savings are inconclusive as both positive substitution and negative income effects on private savings were observed. Moreover, the results also indicate that working females tend to save less than working males and that of the educated female, despite their impacts are varied across educational attainment levels.

This study provides a novel insight into private savings patterns by focussing upon the gender differences and ICT aspects. In stark contrast to previous literature on the issue, the authors find that working and educated females negatively impact private savings in Asia–Pacific economies due to income inequality and consumption habits. However, the results show that ICT accelerates private savings as it provides easy access to financial services and the requisite frameworks, such as e-business platforms, for generating passive income as well as provide the modalities for more cost-efficient shopping such as price and product comparison frames that yield costs savings which can then be potentially channelled into private savings.

The study investigates the impact of inflation on the variability of relative prices in the context of Lebanon.

Unlike the traditional method, which relies on the variance of cross-sectional price changes measured at specific points in time to gauge the variability in relative prices, we employ a more appropriate approach. Under this approach, we capture the dispersion in relative prices by estimating how widely (or closely) a set of commodity prices drift apart over a span of time, offering a more comprehensive assessment. Firstly, we employ Johansen’s cointegration test on rolling subsamples to determine the number of statistically significant cointegrating vectors among the prices of 12 major commodity groups. Under this approach, an increase in the number of significant cointegrating vectors indicates a reduction in relative price variability, while a decrease suggests the opposite. Subsequently, we employ ordinary least squares regression to analyze how the fluctuations in inflation affect the variability in relative prices. The sample period ranges from December 2007 to April 2021.

The empirical results indicate that there exists a certain threshold inflation rate corresponding to which the variability in relative prices is minimized. More importantly, consistent with the theoretical predictions, the results suggest that it is not inflation per se, but the deviation of inflation from the 3% threshold level in either direction that causes higher dispersion in relative prices.

The empirical findings from this study have crucial implications for the operation of monetary and fiscal policy. In particular, these findings suggest that stabilizing long-term inflation around a certain threshold rate will not only help to anchor inflation expectations effectively but will also minimize the welfare costs associated with inflation.

Given the rising inflationary pressure in the recent past and its welfare costs, the study assumes crucial importance in understating how fluctuations in inflation distort the relative price structure and eventually cause resource misallocations and economic inefficiency.

This paper investigates the relationship between climate conditions and money-metric poverty in Egypt at a sub-national level, aiming to understand the nuanced impacts of environmental factors on household well-being.

Employing a geographically weighted regression, the study analyzes data on climate conditions, socioeconomic indicators and poverty rates across different regions of Egypt.

The analysis reveals complex relationships between climate conditions, socioeconomic factors, and poverty rates in Egypt. Higher education, asset ownership and urban residence are associated with lower poverty rates, while larger household size correlates with increased poverty. Temperature and precipitation show varied impacts on poverty between extreme and average climate conditions and across different regions, highlighting the need for localized strategies.

The findings underscore the importance of tailored interventions to address the localized impacts of climate change on poverty. Policymakers can use the insights from this research to prioritize vulnerable areas and implement targeted measures to alleviate poverty and enhance climate resilience.

By identifying areas most susceptible to climate change, this research informs policies aimed at protecting marginalized communities from its adverse effects. It contributes to broader efforts to promote social equity and environmental sustainability in Egypt.

This paper provides a comprehensive analysis of the climate–poverty nexus in Egypt, offering insights into the localized impacts of climate change on household well-being. The findings contribute to both academic discourse and policy development, guiding efforts to address poverty and climate vulnerability at the regional level.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2024-0317

In spite of the drive toward environmental sustainability and the attainment of sustainable development goals (SDGs), coal, oil and natural gas energy utilization has remained the Turkey's largest energy mix. In view of this concern, this study examined the role of coal and oil energy utilization in environmental sustainability drive of Turkey from the framework of sustainable development vis-à-vis income expansion over an extended period of 1965–2017.

In this regard, the authors employ carbon emission as an environmental and dependent variable while the Gross Domestic Product per capita (GDPC), coal and oil energy consumption are the explanatory variables employed in the study.

The study found that both energy mixes (coal and oil) have a detrimental impact on the environment in both the short and long run, but oil consumption exerts a less severe impact as compared to coal energy. In addition, sustainable development via income growth is not feasible because the income–environmental degradation relationship follows a U-shaped pattern (invalidating the Environmental Kuznets curve, EKC hypothesis) especially when coal and oil remained the major source of lubrication to the economy. At least the EKC hypothesis is unattainable in Turkey as long as the country's major energy mix or primary energy (coal and oil) is in use, thus the application of other socioeconomic, macroeconomic policies might be essential.

Considering the lingering energy challenge associated with Turkey, this novel insight further presented useful policy perspectives to the government and stakeholders in the country's energy sector.

This evidence (the U-shaped relationship) is further ascertained when the aggregate primary energy is employed. Thus, this study provides a novel insight that attaining a sustainable economic growth in Turkey remained a herculean task as long as a more aggressive energy transition approach is not encouraged.

This study examines whether international tourism demand in the Visegrád countries is influenced by countries' risk rating on environmental, social and governance (ESG) factors, as non-economic factors relating to ESG risks have been ignored by previous researches on determinants of international tourism demand.

The study investigates panel data for the Visegrád countries comprising the Czech Republic, Hungary, Poland and Slovakia over the period 1995–2019. Recently developed techniques of augmented mean group (AMG) and common correlated effects mean group (CCEMG) estimators are employed so as to take care of cross-sectional dependence, nonstationary residuals and possible heterogeneous slope coefficients.

The regression estimates suggest that besides economic factors, the perception of international tourists regarding ESG risk is another important determinant of international tourism demand in the Visegrád countries. The study also established that income levels in the tourists' originating countries are the most critical determinant of international tourism demand to the Visegrád countries.

The research outcomes of the study include the need for the Visegrád countries to direct policies towards further mitigating their ESG risks in order to improve future international tourism demand in the area. They also need to ensure exchange rate stability to prevent volatility and sudden spikes in the relative price of tourism in their countries.