The impact of energy consumption on environmental quality: empirical evidence from the MINT countries

Trade openness, human capital, natural resource, and carbon emission nexus: a CS-ARDL assessment for Central Asian economies

There is a call for global efforts to preserve the ecological systems that can sustain economies and people's lives. However, carbon emission (CEM) threatens the sustainability of humanity and ecological systems. This analysis looked into the influence of energy use (ERU), human capital (HCI), trade openness (TOP), natural resource (NRR), population, and economic growth (ENG) on CEM. The paper gathered panel data from the Central Asia region from 1990 to 2020. The CS-ARDL was applied to establish the long-term interaction among the indicators. The paper's findings indicated the presence of the environmental Kuznets curve (EKC) in the Central Asia regions. Also, the empirical evidence highlighted that energy use, natural resources, and trade openness cause higher levels of CEM. However, the research verified that CEM can be improved through human capital and urban population growth. The study also found that HCI moderates the interaction between NRR and CEM. The causality assessment indicated a one-way interplay between ENG, ERU, NRR, and CEM. The study proposes that to support ecological stability in these regions, policy-makers should concentrate on developing human capital, investing in renewable energy sources, and utilizing contemporary technologies to harness natural resources in the economies of Central Asia.

Impact of belt and road initiative policy and interacting effect of renewable energy toward carbon neutrality

The Belt and Road Initiative (BRI) represents a comprehensive developmental blueprint that has been deployed across numerous Asian, European, and African nations, aimed at fostering economic growth and enhanced regional connectivity. However, concerns have been raised about its potential impact on the environment, specifically in the context of carbon dioxide (CO2) emissions. Employing non-parametric analytical techniques, this research undertakes an empirical investigation into the relationship between economic growth (GDP), renewable energy consumption (REC), and CO2 emissions within the context of BRI participant countries, spanning the years from 2000 to 2018. The findings of this study reveal that REC exerts a pronounced and statistically significant mitigating effect on CO2 emissions, implying that an increase in REC corresponds to a reduction in CO2 emissions. In contrast, trade openness (TRADE) exhibits a positive and statistically significant influence on CO2 emissions, signifying that greater trade openness is associated with heightened CO2 emissions. However, the observed effects of GDP, fixed telephone subscriptions (FTS), and mobile cellular subscriptions (MCS) on CO2 emissions remain inconclusive, as their impact lacks statistical significance. The effect estimates of covariates on CO2 emissions using various models reveal that REC and TRADE significantly affect CO2 emissions, while GDP, FTS, and MCS still yield uncertain results. The outcomes draw attention to the necessity of implementing policies that encourage the use of REC and reducing trade openness as an efficient way of neutralizing CO2 emissions. This research provides valuable insights into the impact of the BRI on CO2 emissions and emphasizes the importance of addressing the environmental implications of this initiative. Policymakers should carefully consider these findings and develop effective strategies to foster sustainable development.

Towards environmental degradation mitigation: The role of regulatory quality, technological innovation and government effectiveness in the CEMAC countries

The study explores the interaction between regulatory quality, economic growth, technological innovation, energy consumption, government spending on research and development, and environmental degradation (EVD) in the Economic and Monetary Community of Central Africa (CEMAC) region. The study applied the econometric approach CS-ARDL to estimate the short and long-term interaction between the regressors and the explanatory variable. The study period covers from 1990 to 2020. To summarize the findings of this research, (1) the study discovered a positive relationship between energy consumption, government effectiveness, regulatory quality, and environmental degradation. (2) Economic growth, government spending on research and development, and technological innovation, on the other hand, extensively dissipates EVD in the CEMAC economies. (3) The causality analysis espoused a bidirectional connection between energy consumption, technological innovation, and EVD. (4) Lastly, a unidirectional interplay exists between economic growth, government effectiveness, regulatory quality, and EVD. This study also serves as a reference point for policymakers and governmental institutions to invest in cleaner technologies and increase government research and development spending to mitigate environmental degradation in these areas.

The impact of democracy and income on CO2 emissions in MINT countries: evidence from quantile regression model

This study analyses the relationship between democracy and environmental pollution in the MINT countries using a panel data spanning 1971-2016. It also investigates the interactive effect of income and democracy on CO2 emissions. We used various estimation techniques for the analysis, ranging from the quantile regression, OLS-fixed effect and GLS-random effect regressions with Driscoll-Kraay standard errors to control for cross-sectional dependence while a panel threshold regression is used for robustness check. The results showed existence of long-run relationship between CO2 emissions and the explanatory variables. The quantile regression results for interaction model indicate that economic growth, democracy and trade openness promote environmental pollution via their positive effects on CO2 emissions. Primary energy however reduces pollution across the lower and middle quantiles but enhances it in higher quantiles. The interaction effect is negative and statistically significant across all quantiles. This implies that democracy has a significant role in moderating the impact of income on CO2 emission in the MINT countries. It thus follows that if the MINT countries radically strengthen democracy and enhance income, it would be possible for them to achieve greater economic development and reduce CO2. In addition, a single threshold model is used to identify the asymmetry in response to CO2 emissions at lower and upper levels of democratic regimes. The results showed that once the degree of democracy is above the threshold level, an increase in income would reduce CO2 emissions but once it is below the threshold level, the effect of income becomes insignificant. Based on these results, the MINT countries need to strengthen democracy, enhance income level and relax trade barriers.

Are impacts of renewable energy and globalization on carbon neutrality targets asymmetric in South Africa? A reconsideration using nonlinear ARDL approach

In this paper, we deviate from the existing literature by disentangling the independent variables into their positive and negative changes to capture asymmetric and dynamic multiplier effects of renewable energy and globalization on carbon neutrality targets within the framework of the autoregressive distributed lag (ARDL) model. In doing this, the paper uses South African data for the period 1990 to 2018 and the results show that CO₂ emissions respond differently to the positive and negative shocks in renewable energy, globalization, and economic growth. The effect of a positive shock in economic growth is inelastic and positively related to CO₂ emissions while a negative shock in economic growth has an elastic and negative effect on CO₂ emissions. These results hold for both long-run and short-run periods. In the case of globalization, the positive shock increases CO₂ emissions while the negative shock decreases CO₂ emissions; although the long-run effect of a negative shock is elastic and insignificant while the short-run negative shock exerts an inelastic and significant effect on CO₂ emissions. Furthermore, both the upward and downward shocks in renewable energy consumption transmit a negative effect on CO₂ emissions in the long-run and short-run periods. Therefore, the paper suggests among others that to effectively decarbonize the South African economy, the use of subsidies, tax credits, tax holidays, and a host of others on green energy activities need to be enhanced as incentives for promoting cleaner energy production and consumption.

The role of green finance and energy innovation in neutralizing environmental pollution: Empirical evidence from the MINT economies

Pursuing ecological sustainability while mitigating the effects of environmental pollution has become a global pursuit. Moreover, the issue of how emerging economies like Mexico, Indonesia, Turkey, and Nigeria (MINT) economies can significantly reduce environmental pollution (EVP) remains elusive. This study sought to investigate the interplay between economic growth, green finance, renewable energy use, natural resource rent, energy innovation, urbanization and environmental pollution by analyzing panel data from 1990 to 2020. This research employed the novel econometrics approach CS-ARDL to examine the short and long-term relationships among the series. The research outcome disclosed that economic growth, natural resource rent and urbanization increase environmental pollution. In contrast, the empirical findings of this study revealed that environmental pollution could be neutralized through effective mechanisms such as green finance, renewable energy consumption, and the promotion of energy innovation. This research provides a fresh insight from the MINT economies and contributes to the existing literature by examining factors contributing to environmental pollution. This research also provides a benchmark for policy-makers and governments to invest in environmentally-friendly technologies to exploit the natural resources in these countries to mitigate the effect of environmental pollution.

China's 2060 carbon-neutrality agenda: the nexus between energy consumption and environmental quality

This study examined the nexus between energy consumption and environmental quality in light of China's 2060 carbon-neutrality agenda utilizing annual frequency data from 1971 to 2018. In order to obtain valid and reliable outcomes, more robust econometric techniques were employed for the analysis. From the results, all the variables were first differenced stationary and cointegrated in the long-run. The elastic effects of the predictors on the explained variable were explored through the ARDL, FMOLS, and the DOLS techniques, and from the discoveries, energy utilization worsened environmental quality in the country via more CO2 emissions. Also, industrialization and urbanization deteriorated the country's environmental quality; however, technological innovations improved ecological quality in the nation. On the causal connections between the variables, a unidirectional causality from energy consumption to CO2 effluents was discovered. Also, feedback causalities between industrialization and CO2 secretions, and between urbanization and CO2 exudates were disclosed. However, there was no causality between technological innovations and CO2 emanations. Based on the findings, the study recommended among others that, since energy consumption pollutes the environment, the country should transition to the utilization of renewable energies. Also, the government should allocate more resources to the renewable energy sector. This will help increase the portion of clean energy in the country's total energy mix. Furthermore, research and development that are linked to the utilization of green energies should be supported by the government. Data constraints were the main limitation of this exploration. Therefore, in the future, if more data become available, similar explorations could be conducted to check the robustness of our study's outcomes.

Renewable and Non-Renewable Energy Consumption and Trade Policy: Do They Matter for Environmental Sustainability?

In the extant literature, there are numerous discussions on China’s environmental sustainability. However, few scholars have considered renewable energy consumption and trade policy simultaneously to debate environmental sustainability. Therefore, this paper attempts to examine how renewable and non-renewable energy consumption, bio-capacity, economic growth, and trade policy dynamically affect the ecological footprint (a proxy for environmental sustainability). Using the data from 1971 to 2017 and employing the auto-regressive distributed lag model to perform an empirical analysis, the results demonstrate that renewable energy consumption and trade policy are conducive to environmental sustainability because of their negative impacts on the ecological footprint. However, the results also indicate that bio-capacity, non-renewable energy consumption, and economic growth are putting increasing pressure on environmental sustainability due to their positive impacts on the ecological footprint. Moreover, to determine the direction of causality between the highlighted variables, the Yoda-Yamamoto causality test was conducted. The results suggest a two-way causal relationship between renewable energy consumption and ecological footprint, non-renewable energy consumption and ecological footprint, and economic growth and ecological footprint. Conversely, the results also suggest a one-way causal relationship running from bio-capacity and trade policy to the ecological footprint.

Green investments, financial development, and environmental quality in Ghana: evidence from the novel dynamic ARDL simulations approach

Numerous studies have examined the influence of macroeconomic factors on environmental quality in Ghana. However, to the best of our knowledge, there has been no study on the connection between green investments, financial development, and environmental quality in the context of this Sub-Saharan African country. This study was therefore conducted to help fill this gap using annual frequency time series data ranging from 1970 to 2018. In attaining the objectives of this study, robust econometric techniques were employed. From the results, all the variables were first differenced stationary and cointegrated in the long run. The dynamic ARDL simulations technique with the support of the ARDL estimator was employed to examine the elastic effects of the predictors on the response variable, and from the discoveries, green investments improved environmental quality in Ghana both in the long and the short run via carbon dioxide mitigations. However, in both the long and the short run, financial development and energy utilization had a detrimental influence on environmental quality due to their positive influence on carbon dioxide emissions. Moreover, the N-shaped association between national income and environmental pollution was validated for Ghana. On the causal directions amidst the variables, there was no causality between green investments and environmental degradation was evidenced; however, a bidirectional causality between financial development and environmental pollution was also discovered. Also, unidirectional causalities running from national income and energy consumption to environmental degradation were discovered. Based on the findings, the study recommend that investments in green sources should be intensified to help improve environmental quality in Ghana. Furthermore, improving developments in the financial sector is a vital means through which the country could attain its sustainable development goals.

City- and county-level spatio-temporal energy consumption and efficiency datasets for China from 1997 to 2017

Understanding the evolution of energy consumption and efficiency in China would contribute to assessing the effectiveness of the government's energy policies and the feasibility of meeting its international commitments. However, sub-national energy consumption and efficiency data have not been published for China, hindering the identification of drivers of differences in energy consumption and efficiency, and implementation of differentiated energy policies between cities and counties. This study estimated the energy consumption of 336 cities and 2,735 counties in China by combining Defense Meteorological Satellite Program/Operational Line-scan System (DMSP/OLS) and Suomi National Polar-Orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) satellite nighttime light data using particle swarm optimization-back propagation (PSO-BP). The energy efficiency of these cities and counties was measured using energy consumption per unit GDP and data envelopment analysis (DEA). These data can facilitate further research on energy consumption and efficiency issues at the city and county levels in China. The developed estimation methods can also be used in other developing countries and regions where official energy statistics are limited.

Impact of the Energy Sector on the Quality of the Environment in the Opinion of Energy Consumers from Southeastern Poland

Limiting CO2 emissions has been adopted as a contemporary challenge and introduced into numerous global and regional policies. The measures taken to reduce greenhouse gas emissions largely relate to the decarbonization of the economy. Changes in the Polish energy sector are a huge challenge because the energy mix is dominated by the energy derived from coal combustion. Decarbonizing the energy sector will require significant financial resources. Therefore, several questions arise: What is the social attitude to the planned changes? How do residents treat the issue of greenhouse gases? Do they perceive the relationship between energy production and the quality of the natural environment? What are their expectations regarding the transformation of the energy sector? The aim of this study was to identify the opinion of the inhabitants of southeastern Poland on changes in the energy sector and its impact on the quality of the natural environment. The study was conducted at the turn of 2020 and 2021. The survey was partial and carried out using the CAWI (Computer Assisted Web Interview) method; 1539 questionnaire forms were filled in and the sample was randomly selected. The study confirms the following research hypotheses: 1. There is social support for the view that climate change is currently one of the greatest threats to modern civilization. 2. There is a social belief that the quality of the natural environment in southeastern Poland is good compared to other regions of Poland and Europe. 3. Increasing the share of energy based on renewable energy sources is socially expected. 4. There is a social expectation of nuclear energy. It can therefore be concluded that the surveyed community accepts the direction of changes in the energy sector.