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This study aims to test the Malthusian and Kremer theories by exploring the relationship between population and economic growth in a low middle-income economy of India.

The autoregressive distributed lag approach is employed based on the nature of time-series data to achieve the study objectives. In this study, regressand is economic growth measured by real GDP, and the regressors are population growth rate, investment, life expectancy and inflation rate from 1980 to 2018.

Empirical results confirm the applicability of Kremer’s theory. In this theory, population growth has a significant and positive impact on economic growth in the short and long run. Moreover, investment and life expectancy variables have a positive and significant impact on economic growth, whereas inflation rate has a negative association with economic growth. Empirical results support the population-growth-driven economic growth hypothesis, which indicates that population growth stimulates economic growth and development.

Empirical findings in this study provide guides for management authorities in formulating the right and relatable policies on population growth whilst promoting economic growth and social welfare.

Achieving a desirable level of economic growth is the prime objective of every country. The role of the population in the process of economic growth and development cannot be overlooked. Malthus' and Kremer's views are opposite. Extant literature exhibits that scant research has been carried out on this significant topic in developing countries. Therefore, empirically investigating the effect of population on the growth performance of India as a developing country is necessary and will significantly contribute to the literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2019-0496

This study investigates the impact of demographic structural changes on economic growth using data for Asian economies covering the period 1960–2020. Other factors affecting economic growth, such as human capital, are also considered.

A fixed-effects model and a fixed-effects model with endogenous covariates are used to examine a dynamic demographic model covering different age cohorts (i.e. youth-age, working-age and old-age populations) and other factors impacting economic growth.

The working-age population share, the labour force relative to the working-age population and growth of the actively employed population have significant and positive impacts on economic growth. Population growth and the youth-age population share exert a significant and negative impact on economic growth. A second and silver demographic dividend is found arising from a significant and positive association between the old-age population and economic growth. Human capital has an inverted U-shaped association with economic growth. Environmental degradation is significantly and negatively related to economic growth. No evidence is found for the importance of migration.

The positive association between the old-age population and economic growth indicates the policy significance of retirement-income systems with high coverage to enhance economic growth in Asia. Lifelong learning and preventative health measures can also be supportive policies to strengthen the third (silver) demographic dividend via the extension of retirement for productive and healthy elders.

This study is the first to examine the impacts of demographic structure, human capital, migration and environmental degradation on economic growth in Asia, using the most up-to-date longitudinal data from 1960 to 2020. Unlike previous empirical studies, this study discovers empirically based evidence to support Asia's second and silver demographic dividends.

In a letter written on 24 January, 1865 to Schewitzer, Marx, commenting on the work of Proudhon, observed: “Take, for instance, Malthus's book on population. In its first edition it was nothing but a sensational pamphlet … and yet what a stimulus was produced by this libel on the human race.”

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.

The purpose of this study was to investigate the relationship between electricity access, population growth and economic growth in Pakistan.

Phillips–Perron unit root test was applied to check the stationarity of the variables and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was used to investigate the causality link between the study variables. Finally, a projection method was applied to check the future trend of the variables.

The study results show the long-term connections among the variables; further, the results illustrate that the electricity access to the urban population and the urban population growth has a significant impact on the economic growth, while the electricity access to the rural population and the rural population growth has a negative impact on the economic growth in Pakistan.

The electricity sector needs further attention from the Government of Pakistan to boost the production from different energy sources, such as oil, gas, solar, nuclear and hydropower to be able to fulfill the country’s growing demand.

By using the ARDL bounds testing approach to co-integration, this study addressed the literature gap regarding electricity access, population growth and economic growth in Pakistan.

Population growth has remained a key issue facing developing economies in the world. While developed countries are experiencing diminished or negative population growth, many countries in sub-Saharan Africa including Nigeria are having population growth above the economic growth rate. With the deadline for the sustainable development goals approaching, attention is increasingly being focused on population growth and human capital development. Extant literature focused on population growth, human resource utilization and economic growth but this study aims to examine the effect of population growth on human resource utilization.

Using secondary data for the period 1990-2018, the study conducted unit root test and co-integration analyses to determine the stationarity and correlation in the long-run in the variables. The study used the error correction model to ascertain the speed at which shocks can be corrected in the long-run. Granger causality test was also carried out to ascertain the direction of causality among the variables.

The empirical results revealed that population growth has a negative and significant effect on human resource utilization. The study also revealed that unidirectional causality runs from employment rate to population growth rate and a unidirectional causality runs from employment growth rate to expected years of schooling. The Nigerian Government needs to not only control population growth but also focus on the quality of education.

The paper provides insights into the relationship between population growth and human capital utilization in Nigeria focusing on the 1986-2018 period.

Climate change will have a significant impact on China’s potential agricultural production and change the distribution of the population in various regions of China, thus producing population migration. This paper aims to analyze China’s population migration in response to climate change and its socio-economic impact.

In this paper, the Potential Agriculture Production Index is introduced as an analytical tool with which to estimate the scale of the population migration induced by climate change. Also, this paper constructs a multi-regional computable general equilibrium (CGE) model and analyzes the effect of change in the population distribution pattern on regional economies, regional disparity and resident welfare.

The key finding of this paper is that, as a result of changes in potential agricultural production induced by climate change, the Circum-Bohai-Sea region, the industrialized region and the industrializing region, which are the main destination regions of the migrating population, will face a severe labor shortage. In response to population migration, the economic growth rate of the immigrating population regions has accelerated. Correspondingly, the economic growth rate of the emigrating population regions has decreased. In addition, the larger the scale of population migration is, the larger the economic impact is. Migration increases inner-regional disparity and decreases inter-regional disparity. However, overall regional disparity is only somewhat decreased.

This paper introduces a Potential Agriculture Production Index to estimate the scale of the population migration and introduce a multi-regional CGE model to analyze the correlated social-economic impacts.

In this Industry 4.0 era, third-party logistics (3PL) industries face huge cost pressure to deliver their service. With increase in competition among the players, constant mergers and acquisitions (M&A) have been taking place to sustain competitive advantage. Therefore, this study aims to investigate the growth dynamics among the 3PL service providers.

In this research, the system dynamics methodology was applied to the study of the growth of 3PL industry in Singapore. A population growth model incorporating the predator–prey interaction is developed to account for growth through M&As among 3PLs and their interaction phenomenon are modeled through modified Lotka–Volterra method. The two-species system model consisting of small and medium logistics service providers (SMLSPs as the prey) and the lead logistics providers (LLPs as the predator) are gauged according to the firm size.

Results from the baseline model indicates that Singapore’s logistics industry looks very optimistic for SMLSPs for another 6 years from 2018, while the LLP population will achieve a peak at about 12 years from 2018. Further sensitivity analysis through macroeconomic and microeconomic changes reveals increase in trend of M&As. By varying competitive pressures between firms, results indicate that the LLP population experiences a decreasing rate of increasing SMLSP population falls.

The research provides guidance for logistics and supply chain managers to better understand the critical factors that impact and determine competitive dynamics. The paper further recommends managers to build sustainable logistics strategies to retain competitive advantages.

The research contributes to both economic and social dimensions of logistics sustainability of how resilient the industries are during uncertain conditions. Some of the limitations of this research include the geographic coverage of the study region and other methodological aspects. The research value thus helps policymakers for developing strategic policies for sustainable industrial growth.

The purpose of this paper is to determine how population ageing is related to economic growth as measured by real GDP per capita in Japan. This study is to address the following questions: first, how is population composition by age group related to economic change? Second, how is the dependency ratio related to economic change? And finally, what are the predictions for economic growth in the future? This study answers these questions in relation to Japan.

Regression methods were applied to single-country data for the period 1975-2011.

This study finds that an increase in the 70-74 population age group is associated with a decrease in economic growth, while an increase in the 75 and over population age group is associated with an increase in economic growth in Japan.

The relationships that were found in this study do not imply causation from demographic change to economic change.

One potential way of promoting sustainable economic growth under conditions of population ageing is to devise a comprehensive policy that focuses on demographic factors.

This study analyses population ageing and economic growth in Japan using single-country data by applying regression methods.

Economists are divided about population growth: the pessimism of neo‐Malthusians contrasts strongly with the optimism of cornucopians. Despite their differences, however, both schools of thought reject economic orthodoxy and prefer evolutionary forms of theory. Their interpretations of evolution are different: the neo‐Malthusians appeal to the entropy law, whereas the cornucopians emphasize human creativity expressed through markets. Argues that both schools are right to adopt an evolutionary outlook, but that they are too restrictive in their conception of evolution. A more complete evolutionary view, which allows properly for social institutions, could give a more balanced account of population growth.