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This study examines the long-run and short-run impact of demographic factors, i.e. life expectancy, fertility rate and young dependency ratio in determining the economic growth of South Asian countries.

The theoretical foundation of the study relies on demographic transition theory and incorporates life expectancy, fertility rate and young dependency ratio into the production function by means of human capital component. The study uses annual panel data of four South Asian courtiers, i.e. Bangladesh, India, Pakistan and Sri Lanka from 1980 to 2018 and utilizes panel ARDL model to analyze the long run and short run impact of demographic factors on economic growth.

Results show that real stock of capital, fertility rate and life expectancy are positively related with economic growth, while an increase in young dependency ratio reduces economic growth in South Asian countries in the long run. Short-run dynamics show that real stock of capital and life expectancy have insignificant impact on economic growth, while young dependency ratio has negative and significant as well as life expectancy has positive and significant impact on economic growth in South Asian countries. Unidirectional causality exists from young dependency ratio and fertility rate to GDP per capita in the short run.

Government has to design policies for better health and education facilities to yield high economic growth as well as better infrastructure and macroeconomic stability to facilitate capital accumulation in the region to foster economic growth.

This study considerably adds into the existing literature by providing better understanding of various demographic aspects and their economic inference by highlighting the demographic changes that South Asia has endured. This study is also beneficial for policymakers and growth analysts in generating effective and sustainable policies regarding population dynamics and economic development of the region.

The objective of the study is to explore the determinants of savings and their relative importance in Saudi Arabia.

The stationarity of the data has been tested using augmented Dickey–Fuller (ADF) tests. Autoregressive distributed lag (ARDL) technique has been applied to establish the long run and short run relationships. Stability of savings function has been tested by applying CUSUM and CUSUMSQ techniques.

Results of ARDL identify the important factors affecting savings behaviour in Saudi Arabia. According to the results, the growth rate of GDP, the interest rate, foreign direct investment (FDI) and budget surplus positively affect savings with the last two having the most influence on domestic savings. The coefficient of the dependency ratio is negative in conformity with the theory. Similarly, the coefficient of the inflation rate is also negative.

There is limited availability of data since only 41 years’ annual data are available.

In the light of the results, it is recommended that in order to increase savings, the government should adopt policies to attract FDI, increase the GDP growth rate and decrease the dependency ratio and inflation.

Government needs to discourage larger family sizes to encourage savings in the light of the result of negative impact of the dependency ratio on savings. In order to decrease the dependency ratio, more family members especially women should be encouraged to participate in the labour market.

There is a scarcity of research for Saudi Arabia on the critical issue of determinants of domestic savings. This is a pioneering study exploring important determinants of savings in Saudi data.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-08-2021-0493.

The purpose of this paper is to analyse the effects of a declining birth rate and an increasing old age‐population ratio on Ireland's economic output.

This paper utilises data on the birth rate, old‐age population ratio, economic output and labour effort of the Irish economy to estimate a vector‐autoregressive model. The results of this model are then analysed to test for the presence of Granger causality among these variables. In doing so it is possible to assess whether there are statistically significant causal relationships existing among these factors. Subsequently, impulse response functions are derived from this model in order to assess the magnitude of the causal relationships.

The results suggest that declining fertility rates and increases in the old‐age dependency ratio have a significant impact on labour effort and economic output. Labour effort is also found to explain variation in the fertility rate and economic output. Economic output is found to effect labour effort and the fertility rate.

The results derived in this paper raise interesting policy implications. It is evident that Ireland's declining birth rate and increasing old‐age population ratio are creating a demographic situation which will have implications for future economic growth. Policies need to be put in place to mitigate the negative effects these factors will have on Irish growth.

This paper adopts modern econometric techniques to assess the causal relationships which exist between the demographic and economic factors considered. These have not previously been applied to the Irish situation. In doing this, this paper provides an important insight into the changing dynamics of the Irish economy.

The purpose of this paper is to investigate the driving forces (economics and socio-demographic) that influence family Takaful demand in the Middle East and North Africa (MENA) region, using a sample of 15 countries from the MENA.

The authors use multivariate analysis, bootstrapping and generalised method of moments techniques. They first examine a full model that combines all variables; second, a model that controls for product market factors; and finally, a model that controls for socio-demographic factors. They further separate all models into linear and log-linear demand functions.

The authors demonstrate that the relationship between the demand for family Takaful in MENA and Islamic banking deposits, education, dependency rate, female life expectancy and Muslim population is significantly positive. On the other hand, the significant factors that are inversely related to the demand for family Takaful in MENA are inflation, financial development and male life expectancy.

The crucial limitation of this study is the amount of data available in regards to the dependent variable, family Takaful contributions. Consequently, to improve the understanding in explaining the family Takaful demand in MENA, further research can take advantage of expanding the variables that were omitted in this research as a consequence of the unavailability of data. Some of the possible influential variables can include government social security expenditure, legal system and government policies, price of Takaful and level of competition within the Takaful and insurance industry.

It is obvious that there are very few studies that focus on the MENA market, and indeed, none of them gives attention to the factors that influence demand for family Takaful. While this study is expected to provide more understanding and awareness on the concept of Takaful and the factors that influence its demand, the authors hope that it would encourage more studies on various issues on the Takaful industry so as to help researchers to understand more aspects of this new emerging business.

This article examines the impact of population age structure on the real exchange rate. Data on a panel of 22 OECD (Organization of Economic Cooperation and Development) countries over 1980–2015 period are used to estimate the empirical model. Using fixed effect model the paper finds that different age cohorts have a significant influence on the real exchange rates in the sample countries. The results are mostly consistent with the theoretical framework discussed in the paper and also with the findings of previous studies in this area. These results have important policy implications given the fact that the population is ageing in almost all the OECD economies these days.

In recent years, short-term sharing accommodation platforms such as Airbnb have made rapid forays in populous cities worldwide, impacting neighborhoods profoundly. Emerging work has focused on demand-side motivations to engage in the sharing economy. The purpose of this paper is to analyze rarely examined supply-side motivations of providers.

To address this gap and to illuminate understanding of how Airbnb supply is configured and influenced, this study examines spatial patterns and socioeconomic influences on participation in the sharing accommodation economy by Airbnb hosts in New York City (NYC). An exploratory conceptual model of host participation is induced, which posits associations of demographic, economic, employment, social capital attributes, and attitudes toward trust and sustainability with host participation, measured by Airbnb property density in neighborhoods. Methods employed include ordinary least squares (OLS) regression, k-means cluster analysis and spatial analytics.

Spatially, clusters of high host densities are in Manhattan and northern Brooklyn and there is little proportionate change longitudinally. OLS regression findings reveal that gender ratio, black race/ethnicity, median household income, and professional, scientific, and technical occupation, and attitudes toward sustainability for property types are dominant correlates of property density, while host trust in customers is not supported.

These results along with differences between Queens and Manhattan boroughs have implications for hosts sharing their homes and for city managers to formulate policies and regulate short-term rental markets in impacted neighborhoods.

The study is novel in conceptualizing and analyzing the supply-side provider motivations of the sharing accommodation economy. Geostatistical analysis of property densities to gauge host participation is novel. Value stems from new insights on NYC’s short-term homesharing market.

Knowledge about current size and structure of a country's population is needed for the formulation and implementation of policies and programs in almost all sectors of public life. The purpose of this paper is to provide population projection for Oman, using population census and family health survey data.

Component method is used for projecting future population of Oman. Population Census data of 2003 by sex and by five‐year age groups were used. The base life expectancy of Oman is assumed to be 73 years and the base total fertility considered as 5.1 children per woman.

Depending upon the achievement of replacement fertility by the year 2025 or 2030 or 2035 the population of Oman in 2050 will vary from 4.5 million to 5.0 million. The different scenarios of population projection indicate that the population of Oman will not be stabilized before 2100.

Population projection depends on assumptions about mortality, fertility, base life expectancy and migration. If these assumptions change then the projections will also change.

Because of high fertility in the past, women in the reproductive ages will increase for up to several decades. Thus, population growth will continue because of momentum effect, even if Oman achieves replacement fertility say in 2030. The age at marriage will increase.

The rapid socio‐economic development and increased women empowerment will create a new outlook and ideas about lifestyles, leading to a decline in fertility. The decline in fertility is strongly related to social, health, education, employment opportunities of women and economic development, which through a variety of mechanisms, reduces the fertility desired and increases the fertility regulation through contraception, birth spacing and increased age at marriage of females. Because of increase in life expectancy and falling birth rate, the absolute number of the elderly population will have enormous impact on health care needs and hospitalization.

This paper deals with the population projection of Oman. Timely and accurate information about population trends is crucial for the socio‐economic development of a country. Knowledge about current size and structure of a country's population is needed for the formulation and implementation of policies and programs in almost all sectors of public life such as health, education and employment.

It is of great importance for economy policy makers to comprehend the relationship between macroeconomic indicators and domestic savings, and to find out which indicator is more determinative on the dynamics of domestic savings. The purpose of this paper is to analyze the degree of relationship between Turkey’s domestic savings and selected macroeconomic indicators.

To examine the relationship, grey relational analysis (GRA) is applied together with the entropy method to determine the weight of the indicators according to the information level they provide. The analysis covers the data of the period from 1990 to 2014. In practice, however, the data set is used by dividing into two separate periods including before and after the 2001 crisis.

The results indicate that the unemployment rate and the gross domestic product (GDP) per capita growth stand out with a relatively high degree of relationship for the period before 2001. When examining the post-2001 period, current balance ratio and GDP growth are ascertained as indicators which have a high degree of relationship with domestic savings.

These indicators have different aspects affecting both public and private savings. Therefore, it may be beneficial to concentrate on these indicators when designing a policy in order to increase the domestic saving rate.

There are many econometric models used for investigating Turkey’s macroeconomic indicators and domestic savings causality. But before now, any study which investigates relationship between macroeconomic indicators and domestic savings by GRA could not be encountered. Using one of the newest developed theories (the grey systems theory) for this subject is the significance of this research.

Solvency and market conduct regulations play a crucial role in supporting life insurance development by boosting consumer confidence and securing a stable environment for insurers to write business. The regulation encapsulates not only the legal framework but also its enforcement. This study aims to focus on the latter and investigate the impact of solvency and market conduct examinations on life insurance development within a homogenous legal environment in the USA.

To test the relationship between the regulatory examinations and life insurance development, this study uses annual data for 51 US states over the period 2013–2018 and uses fixed and random effects panel regressions controlling for the possible omitted variables bias and serial correlation. This study constructs two groups of indicators to measure the robustness and ability of regulators to prevent insolvencies and opportunistic market practices and estimate their effects on market development.

The results show that more stringent regulators with respect to solvency examinations deter life insurers from their markets and channel to those markets with lenient examiners, hurting the development of life insurance in the stringent states. Additionally, regulators boost consumer confidence by providing robust market conduct practices, which results in higher life insurance demand.

This study contributes to the debates about the pros and cons of the current state-led regulation in the USA and the general benefits/costs of regulation for insurance market development.

Life insurance is bought with a prior belief that promise stipulated in policy will be honored when due. Discernibly, this belief is backed by the confidence that financial markets and economy will demonstrate satisfactory performance. However, individuals' confidence levels may get shaken through naïve reinforcement learning if they witness negative market or economic condition. Considering this the authors investigate the relationship between investor confidence and life insurance demand.

The authors used bias corrected bootstrapped sample of OECD economies to examine the link between investor confidence and life insurance demand when two possible economic conditions were witnessed: 1) normal/economic expansion and 2) economic/debt impairment. The findings are robust to alternate estimation techniques and endogeneity.

The authors found that lower investor confidence, sovereign debt impairment and negative market condition will have negative repercussion on life insurance demand. On the other hand, investor confidence-life insurance demand nexus is merely influenced by market and economic condition.

This is a premier research explaining the nexus between investor confidence and life insurance demand in the context of life-cycle hypothesis, sovereign ratings channel and experience-confidence-belief framework. The finding will help economic policy-makers in developing pre-emptive measures to protect life insurance businesses from negative repercussions of lower confidence and negative market conditions.