Evaluating the Influences of Natural Resources and Ageing People on CO2 Emissions in G-11 Nations: Application of CS-ARDL Approach

Abstract

Globalization as well as the ratio of ageing people in the group of 11 (G-11) countries has seen a rapid increase in recent years. Therefore, this study aims to provide effective policy recommendations for sustainable development goals 13, 8, and 7, for the G-11 countries. This work estimates the impact of natural resources and the ageing population on the emission of carbon dioxide (CO2) in G-11 countries using panel data from 1990–2020. For empirical results, second-generation methods were applied. The Westerlund co-integration test that assesses co-integration confirms the firm association among the parameters, and the values of coefficient of the cross-sectional autoregressive distributed lag (CS-ARDL) approach show that a 1% increase in the ageing population will lower the emissions of CO2 by 13.41% among G-11 countries. Moreover, the findings show that there exists an environmental Kuznets curve (EKC) among natural resources, globalization, economic growth, ageing people, and the emission of CO2. Based on the findings, this work presents some important policy implications for achieving sustainable growth in the G-11 countries. These countries need to lower the amount of energy obtained from fossil fuels to improve air quality.

Exploring the roles of natural resources on sustainability blueprint in G7 countries amidst green energy, technological innovation, and carbon‐tax intervention

“…Similarly, traditional estimators postulate CSD, and adoption in the presence of CSD would lead to skewed results. Consequently, we follow (Mehmood et al, 2022; Shan et al, 2021; Usman, Balsalobre‐Lorente, et al, 2022) and employ the CS‐ARDL credited (Chudik & Pesaran, 2015). More importantly, the CS‐ARDL addresses the joint econometric issues arising from heterogeneous slope coefficients, CSD, simultaneity, non‐stationarity, common unobserved variables, and endogeneity.…”

“…This estimator's strength lies in its robustness to suppress slope heterogeneity and CSD issues in the data. The efficacy of this robust method for examining cointegration (long-run connections) between endogenous and exogenous variables is welldocumented empirically (Hussain et al, 2022;Ibrahim, 2022a;Mehmood et al, 2022). It is instructive to clarify that failure to accept the null hypothesis would imply that carbon neutrality has long-run nexuses with biofuels, natural resource rents, eco-innovation, carbon tax, environmental policy, renewable energy, and financial development in G7…”

“…Consequently, we follow (Mehmood et al, 2022;Shan et al, 2021; and employ the CS-ARDL credited (Chudik & Pesaran, 2015). More importantly, the CS-ARDL addresses the joint econometric issues arising from heterogeneous slope coefficients, CSD, simultaneity, non-stationarity, common unobserved variables, and endogeneity.…”

Prediction and Trend Analysis of Regional Industrial Carbon Emission in China: A Study of Nanjing City

“…The total population of the whole city is selected as the population index predicted by the model [ 28 ]. Industrial development brings more employment opportunities, resulting in a higher population and the increase in the energy consumption and carbon emissions.…”

Tracking environmental sustainability pathways in Africa: Do natural resource dependence, renewable energy, and technological innovations amplify or reduce the pollution noises?

“…Within the net-zero emissions advocacy, the need to exert conscientious efforts to explore natural resources and technically manage the rising influx of people in the urban areas has recently gained appreciable attention. In this line of view, Mehmood et al 28 examine the joint impacts of natural resources and aging population on carbon emissions in a panel of the group of eleven economies utilizing annual data from 1990 to 2020. The empirical model is estimated based on the CS-ARDL method after subjecting the model to longrun test through the Westerlund cointegration test.…”