Carbon neutrality potential of the ASEAN-5 countries: Implications from asymmetric effects of income inequality on renewable energy consumption

Revisiting the relationship between natural resources and environmental quality- can ICT break the "resource curse" in the environment?

Despite the prevalence of discussions on the "resource curse", the impact of natural resources on environmental quality for better or for worse has not been clearly answered, this study aims to answer the question by introducing the role of Information and Communication Technologies (ICT). To that end, by using the Instrumental Variable Generalized Method of Moments (IV GMM) estimator and a sample of 102 developing and emerging economies from 2006 to 2016, this paper studies the impact of ICT on the relationship between natural resources and environmental quality. Specially, the Environmental Performance Index (EPI) captures the environmental quality. The results show that natural resources have a significant negative effect on EPI, specially, EPI decreases by one unit with a 1% increase in natural resource rents. ICT significantly mitigates this adverse effect, and marginal effects analysis further confirms its positive moderate effects. The results proved to be robust by Lewbel 2SLS and Driscoll-Kraay techniques or other robust tests. It is noteworthy that the adverse effect of natural resources on EPI is greater and the mitigating effect of ICT is more pronounced in low-income countries and lower-middle income countries. Overall, these results remind resource-based countries to vigorously develop ICT, and apply intelligent exploration, digital monitoring, or other digital technologies to realize the high-efficiency use of natural resources, reducing environmental pollution and ecological damage.

Renewable energy, inequality and environmental degradation

The connection between income inequality and environmental degradation remains a topic of persistent debate, marked by inconsistencies in both theoretical and empirical studies. This study offers a novel contribution to this discourse by investigating the simultaneous influences of renewable energy and income inequality on environmental degradation. Utilizing data from 158 nations from 2000 to 2017, our research reveals a crucial moderating role of renewable energy in the nexus between income inequality and environmental degradation. The study's key finding is that the impact of income inequality on environmental degradation is contingent on the level of renewable energy development. In scenarios with limited renewable energy, income equality leads to increased environmental degradation. However, when renewable energy is more developed, income equality contributes to reducing environmental degradation. This novel insight suggests that renewable energy development can mitigate the trade-off between pursuing income equality and environmental sustainability, thereby enabling their simultaneous achievement. The research also highlights that a more equitable income distribution enhances the environmental benefits of renewable energy. Further analysis demonstrates the significant role played by household consumption behavior and social norms in shaping this phenomenon. By adding these new dimensions to the existing literature, the study significantly enriches the understanding of the complex interplay among economic factors, renewable energy, and environmental sustainability.

A focus on Ghana's sustainable development: Examining the interplay of income inequality and energy poverty

This study investigates how income inequality influences energy poverty alleviation in Ghana as it seeks to achieve a sustainable economy. Employing the Granger causality test on a dataset from 1990 to 2021, the results show that both Gini post-tax and post-transfer (Income inequality-l l 1 ) and Gini pre-tax and pre-transfer (Income inequality-l l 2 ) Granger-cause access to electricity and rural area access to electricity. Urban area access to electricity Granger-causes Gini post-tax and post-transfer. Similarly, an FMOLS test was carried out to introduce some controlling variables and results showed that GDP, trade liberation, urbanization, population growth, and financial development increase income inequality and access to clean fuels and technology, as well as access to urban energy, have a substantial impact on economic disparity. In addition, GDP, financial development, energy intensity, industrialization, trade liberalization, urbanization, population rise, and FDI all have varying implications on energy poverty. These results imply the need to include energy poverty reduction measures within income inequality reduction policies to enhance not just access to today's cutting-edge energy but also affordability to the minimal income receivers. Other reforms and levies on electricity consumption options in renewable energy support can contribute to addressing income inequality and energy poverty issues in Ghana.

The nexus between natural resources, renewable energy consumption, economic growth, and carbon dioxide emission in BRI countries

This study investigates the nexus between natural resources, renewable energy consumption, economic growth, and carbon emission in 35 belt and road initiative (BRI) countries from 1985 to 2019. By employing OLS, fixed effect, generalized method of moments, and seemingly unrelated regression models, the results show that carbon dioxide and renewable energy are the driver factors of economic growth while natural resources reduce economic growth. The effect of economic growth and natural resources on carbon dioxide is positive; however, renewable energy consumption significantly reduces carbon emission. Economic growth rise renewable energy consumption while carbon dioxide and natural resources reduce it. The findings of this study have considerable policy implications for the belt and road countries that how natural resources and income inequality influence the interlinkage of renewable energy consumption, economic growth, and carbon dioxide emission.

Uncovering the impact of income inequality and population aging on carbon emission efficiency: An empirical analysis of 139 countries

Income inequality and carbon emission efficiency are the primary issues that need to be addressed to achieve UN sustainable development goals. However, research on the relationship between income inequality and carbon emission efficiency has not received enough attention. To more comprehensively understand how income inequality affects carbon emission efficiency, and how aging and economic growth affect the relationship between income inequality and carbon emissions efficiency, fixed effect regression estimation and threshold effect regression estimation approaches are developed based on panel data of 139 countries from 1998 to 2018. The results show that: (i) there is an inhibitory effect of income inequality on the improvement of carbon emission efficiency; (ii) under the influence of aging, there is a U-shaped relationship between income inequality and carbon emission efficiency, that is, income inequality has an inhibitory effect on the improvement of carbon emission efficiency before promoting it; (iii) along with the rapid economic growth, the inhibitory effect of income inequality on carbon emission efficiency increases, that is, there is an inverted U-shaped relationship between income inequality and carbon emission efficiency. Finally, we combine the changes in spatial and temporal distributions to propose corresponding policy recommendations.

Analyzing the nexus between energy transition, environment and ICT: A step towards COP26 targets

In line with the Sustainable Development Goals and the recent COP26 summit, energy transition, low carbon emissions and technology have become extremely important subjects in the agenda of governments and policymakers. The present study thus discusses the nexus between energy transition, economic growth, CO₂ emissions and information and communications technology (ICT) in BRICS countries applying the novel GMM-PVAR method proposed on the annual data for the period 2000-2017. This method is strong to the issue of endogeneity which is commonly faced in the context of panel data analysis but mostly ignored in the literature. The findings of this research demonstrate that carbon emissions have a positive and significant effect on energy transition; similarly, raising economic growth augments the consumption of energy transition. Furthermore, ICT is found to be a significant choice in the development of energy transition and the solution of environmental challenges. Overall, technological factors in addition to economic and environmental factors also have great roles in the development of renewable energy and energy transition. Thus, results from this study call for government supports to develop ICT across the BRICS countries.

Financial integration and renewable energy consumption in China: do education and digital economy development matter?

Renewable energy is considered vital to addressing the issue of climate change and energy poverty. In recent times, empirics have tried to find the determinants of renewable energy consumption. Hence, the primary focus of the analysis is to estimate the impact of financial integration, education, and ICT on renewable energy consumption in China. In order to get the estimate of the variables, the analysis has applied the quantile ARDL model. The long-run estimates of the financial integration are positively significant at most quantiles, confirming the positive impact of financial integration on renewable energy consumption. Similarly, the long-run estimates of ICT are positively significant in almost all quantiles, confirming that digitalization helps increase renewable energy consumption in China. The long-term effect of education is significant at the higher quantiles. In the short run, the estimated coefficients of financial integration are positively significant at almost all quantiles; however, the estimated coefficients of ICT are positively significant in half quantiles. The short-run results of education are insignificant at most quantiles. In line with these results, several appropriate financial integration, digitalization, and education policies are recommended.

The impact of income inequity on energy consumption: The moderating role of digitalization

Income inequity and energy consumption have become important issues for sustainable development, and digitalization offers unlimited potential for bridging the income gap and decreasing energy consumption. Based on an international perspective, we confirm the impact of income inequality on energy consumption in 108 countries from 2000 to 2019 and then explore the moderating and threshold effects of digitalization on the impact of income inequality on energy consumption. The empirical results indicate that income inequality causes a surge in energy consumption, and the dynamic SYS-GMM results suggest that for every 1 unit increase in income inequality, energy consumption increases by 0.003 unit. The moderating effect suggests that digitalization helps mitigate the impact of a 3.654% surge in energy consumption caused by income inequality. In comparison, digitalization has a significant moderating effect on energy consumption in middle- and high-income countries (Europe, the Americas, and the Asia-Pacific region), and the moderating effect of digitalization is effective in both free and non-free economies. The dynamic SYS-GMM threshold panel models reveal a non-linear relationship between income inequality and energy consumption affected by digitalization. This provides international evidence that reveals the underlying mechanisms of digitalization, income inequality, and energy consumption. It will better guide countries in harnessing digital dividends to overcome the twin dilemmas of the income gap and energy poverty.

Do drivers of renewable energy consumption matter for BRICS economies? Nexus among technological innovation, environmental degradation, economic growth, and income inequality

In light of increasing concerns about climate change and energy security, renewable energy has been seen as the most promising solution to fulfil future energy needs. This study examines the drivers of renewable energy consumption (REC) and the nexus between GDP growth, technological innovation, gross fixed capital formation, CO2 emissions, income inequality, and renewable energy consumption (REC) using annual data from BRICS countries. To this end, the study uses the augmented mean group (AMG) estimator, a second-generation estimator that takes slope homogeneity and cross-sectional dependence into consideration. For robustness, the pooled mean group (PMG) estimator has also been utilized. The findings of both estimators indicate that carbon emissions, technological innovation, and gross fixed capital formation exert adverse and significant impacts on REC. The findings also show that the use of renewable energy will rise as income inequality declines. We also employ the Dumitrescu and Hurlin (DH) granger causality test. The results of the analysis demonstrate a one-way causal association between income inequality and REC. This finding confirms that a reduction in income inequality will have a major impact on the adoption of renewable energy sources.

Does income inequality reshape the environmental Kuznets curve (EKC) hypothesis? A nonlinear panel data analysis

The COVID-19 pandemic has further increased income inequality. This work is aimed to explore the impact of income inequality on the environmental Kuznets curve (EKC) hypothesis. To this end, income inequality is set as the threshold variable, economic growth is set as the explanatory variable, while carbon emission is set as the explained variable, and the threshold panel model is developed using the data of 56 countries. The empirical results show that income inequality has changed the relationship between economic growth and carbon emissions from an inverted U-shaped to an N-shaped, which means that income inequality redefines the environmental Kuznets curve and increases the complexity of the decoupling of economic growth and carbon emissions. Specifically, economic growth significantly increases carbon emissions during periods of low income inequality, however, as income inequality increases, economic growth in turn suppresses carbon emissions. In the period of high income inequality, economic growth inhibits the increase of carbon emissions. However, with the increase of income inequality, the impact of economic growth on carbon emission changes from inhibiting to promoting. Panel regressions for robustness tests show that this phenomenon is more pronounced in high-income countries. We therefore contend that the excessive income inequality is bad for the win-win goal of economic growth without carbon emission growth, and the income distribution policy should be included in the carbon neutral strategy.

Post-COP26: can energy consumption, resource dependence, and trade openness promote carbon neutrality? Homogeneous and heterogeneous analyses for G20 countries

The need to halt the pervasive issue of global warming has triggered commitments from policymakers, international organizations, and research pundits with an ambitious goal of neutralizing carbon emissions, forming the core of COP26 in November 2021. Consequently, the carbon neutrality agenda is globally debated in the environment and economic growth literature. Given the preceding narratives, this study examines the tripartite effects of energy consumption, resource dependence, and trade openness on carbon neutrality in G20 economies from 2001 to 2019. The empirical evidence relies on homogenous and heterogeneous dynamic models based on a system generalized method of moments (GMM), fully modified ordinary least squares (FM-OLS), and quantile regression estimators. The following results are evident from the empirical analyses. Among the heterogeneous indicators, nonrenewable energy, oil rents, coal rents, and imports contribute to the surge in carbon emissions, while renewable energy, gas rents, and exports moderate carbon emissions. The homogenous impacts show that total energy consumption, total natural resource rents, and trade openness promote significant carbon emissions. Further, the long-run results from FM-OLS and the disintegrated mean effects from quantile regression are robust for the main short-run results based on the two-step system GMM. Based on the empirical fallout, investing in renewable energy and diversifying from natural resource exploration are among the emanating policy that can enhance the sustainability of the G20 environment.

Shared prosperity, energy-saving, and emission-reduction: Can ICT capital achieve a "win-win-win" situation?

The continuous innovation of information and communication technology (ICT) provides new opportunities for the synergistic development of shared prosperity, energy-saving, and emission-reduction. Based on Chinese provincial data from 2000 to 2019, we analyzed the impact of income inequality on energy consumption and carbon emissions from both theoretical and empirical perspectives, focusing on the impact mechanism, moderating effect, and threshold effect of ICT capital on the relationship between income inequality and energy consumption and carbon emissions. The study finds that income inequality increases energy consumption and carbon emissions, whereas regardless of whether it is hardware, software, or communication capital, ICT capital effectively mitigates the growth of energy consumption and carbon emissions caused by income inequality, with a significant inhibitory effect. Furthermore, ICT capital has a stronger moderating effect on energy consumption and carbon emissions in urban and developed eastern region. Notably, the effect of income inequality on the growth of energy consumption and carbon emissions diminishes non-linearly with increasing ICT capital. This study confirms that an increase in ICT capital contributes to the "win-win-win" situation of shared prosperity, energy-saving, and emission-reduction, providing useful empirical guidance for China and similar countries to fully utilize ICT capital in the digital economy.

Club Convergence of Economies’ Per Capita Carbon Emissions: Evidence from Countries That Proposed Carbon Neutrality

To achieve the long-term goals outlined in the Paris Agreement that address climate change, many countries have committed to carbon neutrality targets. The study of the characteristics and emissions trends of these economies is essential for the realistic formulation of accurate corresponding carbon neutral policies. In this study, we investigate the convergence characteristics of per capita carbon emissions (PCCEs) in 121 countries with carbon neutrality targets from 1990 to 2019 using a nonlinear time-varying factor model-based club convergence analysis, followed by an ordered logit model to explore the mechanism of convergence club formation. The results reveal three relevant findings. (1) Three convergence clubs for the PCCEs of countries with proposed carbon neutrality targets were evident, and the PCCEs of different convergence clubs converged in multiple steady-state levels along differing transition paths. (2) After the Kyoto Protocol came into effect, some developed countries were moved to the club with lower emissions levels, whereas some developing countries displayed elevated emissions, converging with the higher-level club. (3) It was shown that countries with higher initial emissions, energy intensity, industrial structure, and economic development levels are more likely to converge with higher-PCCEs clubs, whereas countries with higher urbanization levels are more likely to converge in clubs with lower PCCEs.