Analyzing the Link Between Population Diversity, Population Growth, and Income: A Panel Data Study

With population and income growth, the need for energy has increased in developing and emerging economies, which has inevitably led to an increase in carbon dioxide emissions (CO2e). This paper investigates the impact of energy consumption on CO2e influenced by population growth, energy consumption per capita, and income. In particular, this paper investigates whether or not an increase in energy consumption, energy intensity, energy consumption per capita, population growth, and income impacts CO2e in China, India, and the USA. The study applied the non-linear Autoregressive distributed lag (NARDL) and machine learning techniques. We found a significant impact of energy consumption per capita on the CO2 emissions in China, India, and USA. Furthermore, the results revealed that, when income increased, CO2 emissions increased in India, but decreased in the USA. The results confirmed that population growth increases CO2 emissions only in India. The results revealed that a decrease in energy intensity significantly improves the environmental quality in China and India. Finally, we forecasted the CO2e trend from 2017 to 2025. The results revealed an upcoming increase in CO2e levels in China and India. Conversely, the forecasted results demonstrated a downward trend of CO2e emissions in the USA.

Abstract. Data describing the growth of the world population in the past 12,000 yearsare analysed. It is shown that,if unchecked, population does not increase exponentially but hyperbolically. This analysis reveals three approximately-determined episodes of hyperbolic growth: 10,000-500 BC, AD 500-1200 and AD 1400-1950, representing a total of about 89% of the past 12,000 years. It also reveals three demographic transitions: 500 BC-AD 500, AD 1200-1400 and AD 1950-present, representing the remaining 11% of the past 12,000 years. The first two transitions were between sustained hyperbolic trajectories. The current transition is to an unknown trajectory. There was never any form of dramatic transition from stagnation to growth, described often as a takeoff, because there was no stagnation in the growth of the world population. Correct understanding of the historical growth of human population is essential in the correct interpretation of the historical growth of income per capita. Keywords. Growth of human population, economic growth, growth of income per capita, stagnation, takeoffs, hyperbolic growth, demographic transitions JEL. A12, B22, B25, F01, N00, Y80

Cost of capital plays a critical role in shaping business growth, influencing firms' investment decisions, financing strategies and overall market performance. The study applied the capital asset pricing model (CAPM) theory to examine the influence of the cost of capital on business growth. This research used data from 227 nonfinancial entities listed on the Frankfurt Stock Exchange between 2005 and 2022 from Thomson Reuter Eikon DataStream. The study employed three estimation methods: the Common Shock Autoregressive Distributed Lag (CS‐ARDL), Common Correlated Effects Mean Group (CCEMG) and a two‐step difference generalized method of moments (GMM) to analyse the impact of the cost of capital on revenue, assets and income growth. The weighted average cost of capital (WACC) was found to have a positive and significant effect on income and asset growth in both short‐ and long‐run periods. In contrast, a positive and significant impact on sales growth was observed in both the short‐ and long‐run periods. The moderating relationship between WACC and market size had both a short‐ and long‐run positive and significant effect on income and revenue growth. In contrast, a negative and significant impact on asset growth was observed in both the short‐ and long‐run periods. The results suggest that financing costs and market size jointly influence firm growth, underscoring the importance of efficient capital management and strategic market expansion to enhance investor confidence and valuation.

Prior economic research emphasized land, labor and physical capital as the primary drivers of growth, but contemporary work highlights the pivotal role of human capital. Investments in education, health and governance are now regarded as central to sustainable development; yet important questions remain regarding their effectiveness and context-specific impact. This study investigates how human capital investment influences labor force participation and income growth within the ASEAN nine economies for the period from 2000 to 2022 which provides a rich example of contrast in economic and governance outcomes within a single geographic region. Impacted units of measurement of labor force participation and income growth are evaluated using the Bayesian Additive Regression Trees model to select the most important variables, the Bayesian Dynamic Nonlinear Multivariate panel model to estimate regional effects, and the Time-varying Seemingly Unrelated Regression Equations model to evaluate country-specific dynamics, which considers not just the influence of investments in health and education but also the context of rule, law, and governance. The findings indicate that human capital investments exhibit heterogenous effects across economic tiers and the need for strategies and future study of preconditions to improve returns particularly in low-tier economies. Accordingly, mid-tier, emerging economies exhibit the greatest benefit from human capital investments while top-tier exhibit the probable impact of the law of diminishing returns as their human capital development is already well underway. Despite the limited scope, this study still has the potential to draw constructive theoretical and practical implications.

The demographic transition that swept the world in the course of the last century has been identified as one of the prime forces in the transition from stagnation to growth. The unprecedented increase in population growth during the early stages of industrialization was ultimately reversed and the demographic transition brought about a significant reduction in fertility rates and population growth in various regions of the world, enabling economies to convert a larger share of the fruits of factor accumulation and technological progress into growth of income per capita. This paper examines various mechanisms that have been proposed as possible triggers for the demographic transition, assessing their empirical validity, and their potential role in the transition from stagnation to growth. (JEL: O11, O14, O33, O40, J11, J13)

The demographic transition that swept the world in the course of the last century has been identified as one of the prime forces in the transition from stagnation to growth. The unprecedented increase in population growth during the early stages of industrialization was ultimately reversed and the demographic transition brought about a significant reduction in fertility rates and population growth in various regions of the world, enabling economies to convert a larger share of the fruits of factor accumulation and technological progress into growth of income per capita. This Paper examines various mechanisms that have been proposed as possible triggers for the demographic transition, assessing their empirical validity, and their potential role in the transition from stagnation to growth.

The Demographic Transition and the Emergence of Sustained Economic Growth

Does the Local Government Structure Affect Population and Income Growth? An Empirical Analysis of the 1952 Municipal Reform in Sweden

Growth in a Cross-Section of Cities: Location, Increasing Returns or Random Growth?

The energy–growth–environment nexus has long been central to debates on sustainable development, yet empirical evidence for Sub-Saharan Africa (SSA) remains fragmented and inconclusive. While earlier studies have explored the impact of energy consumption on growth, limited attention has been given to the drivers of disparities in the nexus across SSA. This gap is particularly significant given the region heterogeneous economic structures, resource endowments, and demographic dynamics. This study investigates the structural and macroeconomic determinants of disparities in the energy–growth relationship across 41 SSA countries between 1990 and 2024. Specifically, it examines how factors such as human development, labour force participation, unemployment, population growth, and foreign direct investment (FDI) interact with energy use to influence economic growth. A dynamic linear growth model is estimated using the Sequential Two-Stage Generalized Method of Moments (GMM). The results show weak evidence of growth persistence, as lagged GDP coefficients were positive but statistically insignificant. Total energy consumption also proved insignificant, suggesting that energy expansion alone does not directly drive growth in SSA. By contrast, the human development index exhibited a strong and significant positive effect, underscoring the centrality of human capital to long-run growth. Labor force participation contributed positively with marginal significance, while unemployment had a slight but negative impact, reflecting structural labour market inefficiencies. Population growth and FDI were both insignificant, pointing to demographic pressures and limited absorptive capacity. These findings highlight the need for integrated policy frameworks that prioritize human capital investment, labour market reforms, expansion in renewable energy access, institutional strengthening, and demographic management. A key limitation of the study is the exclusion of some country-specific structural factors, such as governance, geography and natural endowments. Future research should incorporate these variables and explore country-level asymmetries to better inform targeted policy formulation.

This article examines the relationship between Population Growth (PG) and Economic Growth (EG) in the framework of simultaneous structural equation models. Based on Lewbel (2012), the structural parameters can be estimated using the Generalized Method of Moments (GMM). Identification requires a heteroscedastic covariance restriction that appears in some models of endogeneity, measurement errors and panel data. This study obtains several findings. First, the current and lagged variables of PG negatively and positively affect EG in the short run. Second, PG does not significantly influence EG in the long run. Third, the reverse relations running from EG to PG are weak in both the short and long run, regardless of economic development conditions.

The authors measured the positive and negative contributions of population and labor force growth to the growth of per capita income and sectoral output in Japan in the 1880-1970 period. A 2-sector growth accounting model that treats population and labor growth as separate variables was used. 3 alternative methods were used: the Residual method, the Verdoorn method, and the factor augmenting rate method. The total contribution of population cum labor growth to per capita income growth tended to be negative in the 1880-1930 period and positive in the 1930-40 and 1950-70. Over the 1880-1970 period as a whole, population cum labor growth made a positive contribution to per capita income growth under the Residual method (0.35%/year), the factor augmenting rate method (0.29%/year), and the Verdoorn method (0.01%/year). In addition, population cum labor growth contributed positively to sectoral output growth. The average contribution to agricultural output growth ranged from 1.03% (Verdoorn) - 1.46%/year (factor augmenting rate), while the average contribution to nonagricultural output growth ranged from 1.22% (Verdoorn) - 1.60%/year (Residual). Although these results are dependent on the model used, the fact that all 3 methods yielded consistent results suggests that population cum labor growth did make a positive contribution to per capita income and sectoral output growth in Japan. These findings imply that in economies where the rate of technical change in agricultural and nonagricultural sectors exceeds population growth, policies that reduce agricultural elasticities may be preferable; on the other hand, policies that reduce agricultural elasticities are to be avoided in economies with low rates of technical change. Moreover, in the early stages of economic development, policies that increase agricultural income and price elasticities should be considered.

The changing demographics of Australia over the last 30 years.

This paper develops a unified growth model that captures the historical evolution of population, technology, and output. It encompasses the endogenous transition between three regimes that have characterized economic development. The economy evolves from a Malthusian regime, where technological progress is slow and population growth prevents any sustained rise in income per capita, into a Post-Malthusian regime, where technological progress rises and population growth absorbs only part of output growth. Ultimately, a demographic transition reverses the positive relationship between income and population growth, and the economy enters a Modern Growth regime with reduced population growth and sustained income growth. (JEL J13, O11, O33, O40)

The outlook for Asian dairy markets: The role of demographics, income, and prices