Do natural gas, oil, and coal consumption ameliorate environmental quality? Empirical evidence from Russia

Repercussions of Pakistan's renewable and non-renewable energies to the environmental footprint: Applying the non-linear ARDL estimation

The energy consumption in Pakistan, both renewable and nonrenewable, is examined herein as an important factor in carbon emissions. Employing a nonlinear ARDL (auto-regressive distributed lag), the research examines data from 1980 to 2021. The results show that the use of renewable energy has a negligible effect when it comes to the nation's overall carbon emissions. This is mainly because the key pollutants in Pakistan's energy sector come from nonrenewable sources, such as coal and natural gas. However, the report observes that the carbon emissions within the nonrenewable energy sector are directly related to economic growth. A further theorem of the nonlinear analysis has brought the limited role of renewable energy in resolving environmental problems into sharper focus, perhaps due to its lower proportion of Pakistan's total energy mix. According to the study, improving the proportion of renewable energy is the only way to combat environmental problems.

Assessing the role of green investments and green innovation in ecological sustainability: From a climate action perspective on European countries

In recent years, economies have been increasingly focused on achieving the United Nations' Sustainable Development Goals, recognizing that their achievement is vital to ecological sustainability and green growth. In this context, this paper focuses on investigating the impact of green innovation, green investment, economic growth, and natural resources on ecological sustainability in the five best-performing European Union countries in terms of the Climate Change Performance Index. This study uses the load capacity factor as a comprehensive proxy of ecological sustainability and also assesses the load capacity curve hypothesis in sample nations. Continuously updated fully modified and continuously updated bias-corrected estimators are used to analyze the data from 1995 to 2020 in the context of climate action perspective. The econometric analysis revealed that the load capacity curve hypothesis is invalid in the sample countries. Natural resources decrease environmental sustainability. However, green investments and green innovations contribute to environmental quality and thereby, can be used for effective climate action. Based on these findings, the study recommends specific policies to achieve the Sustainable Development Goals, with a particular focus on target 13.

Impact of energy imports, renewable electricity production, alternative, and nuclear energy sources on natural gas resource rents

The world faces several problems related to natural gas resource rents and energy production from renewable sources. One of the main problems is the influence of energy imports, manufacturing exports, and alternative energy sources on natural gas and electricity production from renewable sources. Energy imports, manufacturing exports, and alternative energy sources can impact natural gas and electricity production. This paper examines natural gas resource rents and electricity production from renewable sources nexus from 1971 to 2021, using energy imports, manufacturer's exports, and alternative energy sources in China. Electricity production from renewable sources and manufacturing exports are negatively associated with natural gas resource rents. Energy imports and alternative energy sources positively relate to natural gas resource rents in China. These results suggest that the energy sector in China is highly interconnected and that policies that seek to promote renewable energy sources and other alternatives can positively affect natural gas resource rents. China needs to develop an energy policy considering the policy implications of energy imports and natural gas resource rents. Such a policy should focus on increasing domestic production, reducing energy imports, and ensuring adequate revenue from natural gas resource rents. Additionally, regulations could be implemented that support the development of alternative energy sources, such as requiring utilities to purchase a certain percentage of their power from renewable sources.

Dynamic nexus among fossil fuels utilization, economic growth, and urbanization: a tri-regional selected countries analysis

There are worldwide growing concerns about environmental issues such as global warming and climate change. Moreover, it is expected that there will be regional differences in environmental issues. Therefore, this study focuses on a tri-regional comparison: America, Europe, and Asia-Pacific. Previous literature has paid less attention to exploring regional comparisons while considering regional heterogeneity. Against this backdrop, this study delves into the dynamic relationship between fossil fuel utilization, economic growth, globalization, urbanization, and CO2 emissions to understand the environmental implications of these interconnected factors. The study period spans from 1990 to 2021. Additionally, it employed rigorous tests to confirm cross-sectional dependence and data heterogeneity, following methodologies proposed by Pesaran (2004, 2015) and Pesaran (2007), utilizing the CS-ARDL panel cointegration methodology by Chudik and Pesaran (2015). The results confirm long-term significant relationships among OC, NGC, FDI, and UR variables in both combined panels, with and without regional dummies. However, GDP and COC become insignificant in the long run in the dummy variables regression. Furthermore, the regional dummies were found to be negative but remain insignificant, possibly due to heterogeneous effects or unobserved factors influencing each region independently. Analysis by region reveals predominant coal consumption in Asia, higher oil consumption in America, and greater gas consumption in Europe. Economic growth and CO2 emissions are positive in Asia and America but negative in Europe, aligning with theories prioritizing growth over environmental concerns in Asia and America, and advocating for renewable energy adoption in Europe. Urbanization increases energy demand and emissions, supporting the environmental revolution theory, while FDI holds the potential to reduce CO2 emissions, as per the endogenous growth theory.

Impacts of renewable and disaggregated non-renewable energy consumption on CO2 emissions in GCC countries: A STIRPAT model analysis

This research investigates the effects of renewable (REC) and disaggregated non-renewable energy consumption (coal, oil, and natural gas) on CO2 emissions (CO2) in GCC countries, employing the STIRPAT model. The research also compares the impact of various non-renewable energy (NREC) sources to identify their contributions to CO2 emissions. Demographic factors like population and economic growth are considered main determinants of CO2. Panel data econometric methods are used, including diagnostic tests and unit root tests, to found long-run relationships among the variables. The study reveals significant positive associations between coal, natural gas, oil consumption and CO2, with oil having the highest impact. Conversely, REC shows a significant negative correlation with CO2. Economic growth and population are also linked to increased CO2. The findings emphasize the need for strategies promoting renewable energy usage, energy efficiency, public transportation, carbon pricing, and research in green technologies to alleviate CO2 and enhance sustainable development in the GCC countries.

Time-varying impact of income and fossil fuel consumption on CO2 emissions in India

This paper investigates the time-varying effects of fossil fuel consumption on CO2 emissions in India utilizing the time-varying cointegration test, allowing for multivariate long-run time-varying cointegration parameter developed by Bierens and Martins (2010) and the time-varying vector autoregressive (TVP-VAR) model developed by Primiceri (2005). The long-run time-varying coefficients reveal that GDP has a positive and increasing impact on CO2 emissions over time. Moreover, results confirm the polluting effects of all fossil fuels. Besides, the TVP-VAR model findings also demonstrate that changes in income and fossil fuel consumption have a positive and significant impact on environmental degradation. Coal is found to be the most polluting fuel, followed by oil consumption. Furthermore, the time-varying responses show that increased natural gas consumption has the least influence when compared to other fossil fuels on CO2 emissions.

Russia-Ukraine war impacts on climate initiatives and sustainable development objectives in top European gas importers

Russia holds the position of being the third largest global producer of oil and plays a significant role in the supply of oil and gas to Europe. The ongoing war conflict has the potential to impede the bilateral and multilateral relations between Russia and Europe. The ramifications of this event will have notable reverberations for environmental endeavors in Europe. The aforementioned premise forms the basis of our investigation, wherein we scrutinize the correlation among oil price, coal price, gas price, economic growth, and coal consumption, while taking into account the ramifications of the Russian-Ukrainian conflict. We adopted fully "modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), and canonical cointegration regression (CCR)" econometric techniques to gauge the nexus between factors of interest in the top 4 European Russian gas importer economies (Poland, Netherland, Hungry, and Germany). The empirical outcomes reveal substantial negative impact of economic growth and coal price elasticity on the coal consumption. On the contrary, oil and gas price elasticities depict significant positive influence on the coal consumption. Hence, this study concludes that a rise in oil and gas prices leads to an increase in coal consumption, which in turn negatively impacts environmental quality. Furthermore, the occurrence of war has the potential to impede the utilization of coal resources in Netherlands and Hungary. On the other hand, the impact of war is noteworthy and constructive in Poland and Germany. Thus, war results ecological imbalance in Poland and Germany in particular. Governments, decision-makers, stakeholders, and environmentalists must develop a long-term plan that calls for a paradigm shift away from gas, oil, and coal usage and toward more environmentally benign renewable energy sources.

Natural gas supply cuts and searching alternatives in Germany: A disaggregated level energy consumption analysis for environmental quality by time series approaches

By considering the search for alternatives against Russia's natural gas supply cuts, this study explores the impact and causality of disaggregated level energy consumption indicators on environmental quality. Hence, the study investigates Germany, which is the leading economy in Europe and highly dependent on Russia's natural gas supply, by using carbon dioxide (CO2) emissions as the environment indicator, including annual data from 1970 to 2021, and applying novel time series approaches. In the empirical examination, Granger causality-in-quantiles (GCiQ), quantile-on-quantile regression (QoQR), and multivariate adaptive regression splines (MARS) are applied as base models while quantile regression (QR) and dynamic ordinary least squares (DOLS) are used for robustness. The empirical findings show that (i) there are causal impacts of disaggregated level energy consumption indicators on CO2 emissions; (ii) renewable energy and hydroelectricity consumption have a decreasing impact, whereas natural gas, coal, and oil energy consumption have an increasing impact on CO2 emissions; (iii) although nuclear energy has been discussed as a potential alternative, nuclear energy does not have a significant impact in decreasing CO2 emissions; (iv) natural gas consumption has an interaction with renewable energy, hydroelectricity, and coal energy consumption; (v) the power of disaggregated level energy consumption indicators on CO2 emissions vary according to quantiles, thresholds, and interactions between energy consumption indicators; (iv) alternative models validate robustness of the results obtained. Thus, the results imply that the most appropriate alternative is coal energy consumption in the short-term and renewable energy consumption in the long-term to compensate for Russia's natural gas supply cuts, whereas nuclear energy consumption is not a real alternative for Germany.

Green technologies, government stability, and green energy transition in a globalized world: evidence from E-7 nations

Unsustainable development and rising environmental degradation are major challenges for emerging nations that tend to promote human welfare by expanding economic development. Green energy transition (GETR) can help these nations to continue their development, reduce fossil fuel utilization, and achieve environmental sustainability. However, previous literature overlooks the importance of green technologies, government stability, and economic globalization in the GETR process. Accordingly, this research takes a step forward and assesses the impacts of green technologies (GT), government stability (GOV), and economic globalization (EGL) on green energy transition including population density (POP) and economic growth (GDP) in emerging seven (E-7) countries from 1992 to 2020. The research applied the "continuously updated fully modified (CuP-FM)" methodology to acquire the long-run findings robust to endogeneity stationary regressors, autocorrelation, and cross-sectional dependence (CD). The results highlighted that green technologies can be enhanced to accelerate the energy transition process since GETR and green technologies are positively connected. Also, government stability and economic globalization support the green energy transition. However, both population density and economic growth obstruct the energy transition process. The Emirmahmutoğlu and Kose test unveiled that green technologies, economic globalization, and government stability Granger cause the green energy transition. Based on these findings, policies are directed to promote the GETR by enhancing green technologies, economic globalization, and government stability for achieving ecological sustainability.

Insights from Poland on the long-run effect of energy productivity on environmental degradation: a Fourier ARDL-based approach

The globally increasing trend of fossil fuel consumption has culminated in a historical degradation of the environment and the rising threat of global warming. Researchers and policymakers aim at examining critical relationships between energy productivity and environmental degradation to make recommendations for global policy action. This paper aims to capture the effect of energy productivity on environmental degradation in Poland from 1990Q1 to 2019Q4, using novel Fourier-bases ADF unit root and Fourier-based ARDL approaches. First, outcomes of the Fourier ARDL bounds test indicate that variables are integrated; second, outcomes of the Fourier ARDL long-run estimates indicate that (i) energy productivity has long-run negative effects on CO₂ emissions; and (ii) economic growth, globalization, and primary energy consumption have positive effects on CO₂ emissions. Among the options available to Polish policymakers are (i) liberalizing domestic energy markets to offer an opportunity for electricity consumers to switch companies and (ii) continuing to pursue a policy of decarbonizing energy supply by investing heavily in renewable energy, nuclear power, e-mobility, and energy productivity.

The role of economic production, energy consumption, and trade openness in urbanization-environment nexus: a heterogeneous analysis on developing economies along the Belt and Road route

In today's world, where urbanization is at its pinnacle, has created a significant economic gap between rural and urban populations in developing economies and substantially influenced environmental degradation. This study investigates the relationship between urbanization and environmental degradation via carbon emissions among developing countries along the Belt and Road route from 1990 to 2019 while using economic production, energy consumption, and trade openness as control variables. The study engages current econometric methodologies to uncover accurate and reliable findings, and the outcomes reveal that the panel under investigation is cross-sectionally dependent and heterogeneous. Therefore, the AMG, CCEMG, and DCCEMG estimators are employed to examine the effect connection between the variables. The outcomes unveil that urbanization, economic production, and energy consumption escalate environmental degradation, but trade openness is confirmed as a trivial determinant of environmental degradation. Furthermore, the causal connections between the variables disclose bi-directional causalities between urbanization and environmental degradation and between energy consumption and environmental degradation. Nevertheless, uni-directional causalities are affirmed, spanning from economic production to environmental degradation and from trade openness to environmental degradation. Finally, policy implications are discussed.

How do energy prices and climate shocks affect human health? Insights from BRICS

The presented work analyzes the energy prices, climate shock, and health deprivation nexus in the BRICS economies for the period 1995-2020. Panel ARDL-PMG technique is used to reveal the underexplored linkages. The long-run estimates of energy prices are observed to be negatively significant to the health expenditure and life expectancy model, whereas, positively significant to the climate change model. These findings suggest that energy prices significantly reduce health expenditures and life expectancy and, thus, increase the death rate in the BRICS economies. The long-run country-wise estimate of energy prices is found negatively significant in case of Brazil, India, China, and South Africa. Alongside, the group-wise significance of CO2 emissions is discovered to be negatively, positively, and insignificant in the cases of life expectancy, death rate, and health expenditure models, respectively. Besides, country-wise long-run estimate of CO2 emissions witnesses negative significance for Russia, India, China, and South Africa.

Analyzing the co-movement between CO2 emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: evidence through the lens of wavelet coherence

This study investigates the time-frequency nexus of carbon dioxide (CO₂) emissions with economic growth, nonrenewable (i.e., coal, natural gas, and oil), and renewable (i.e., hydro and geothermal) energy consumption. In this context, BRICS countries (namely, Brazil, Russian Federation, India, China, and South Africa), which are leading emerging countries, are included, and quarterly data from 1990/Q1 to 2019/Q4 is used. The study employs the wavelet coherence (WC) approach to explore the co-movement between the variables at different frequencies. The empirical results show that (i) there is a strong and positive co-movement between CO₂ emission and economic growth; however, it is weak for Russia and South Africa in the medium and long-term; (ii) coal energy consumption is strongly and positively co-moved with CO₂ emission for all BRICS countries; (iii) natural gas energy consumption is strongly and positively co-moved with CO₂ emissions in Brazil, India, and China; however, it is weakly and positively co-moved in Russia and South Africa; (iv) oil energy consumption is strongly and positively co-moved with CO₂ emissions in Brazil, India, and China; however, it changes a bit for Russia and South Africa; (v) hydro energy consumption is weakly and positively co-moved with CO₂ emissions in general, whereas country-based results vary; (vi) geothermal energy consumption is also similar to hydro energy consumption. Thus, the WC results highlight the strong co-movement of economic growth and nonrenewable energy consumption with CO₂ emissions, whereas renewable energy consumption has a relatively lower co-movement. Based on the results, policy implications are also discussed for BRICS countries.

Exploring the role of coal consumption, solar, and wind power generation on ecological footprint: evidence from India using Fourier ADL cointegration test

The transition to renewable energy sources has been identified as crucial to combating climate change on a global scale. India's future energy vision is becoming increasingly focused on renewable markets, particularly solar and wind power, which would improve energy efficiency and allow the country to shift from a coal-based economy to a renewable-based economy by 2030. In this context, the present study intends to investigate the impact of India's considerable investments in solar and wind power plants on mitigating environmental degradation by reducing reliance on coal-fired power. To this end, this study adopts the Fourier Autoregressive Distributive Lag (ADL) cointegration test and Fully Modified Ordinary Least Square (FMOLS) to assess the relationship between coal consumption, solar power, wind power, and ecological footprint in India using data from 1995 to 2018. The empirical results show that solar and wind power are significant and negatively related to ecological footprint, indicating that they lessen the environmental degradation. However, coal consumption is significant and positively related to ecological footprint. The study findings confirm the constructive role of solar and wind power in mitigating environmental degradation that is caused by the domination of coal-fired power generation in India, and solar and wind power are cleaner alternatives to replace coal-fired power.

The roles of energy, natural resources, agriculture and regional integration on CO2 emissions in selected countries of ASEAN: does political constraint matter?

This paper empirically examines the effects of energy, natural resources, agriculture, political constraint and regional integration on CO₂ emissions in four ASEAN (Association of Southeast Asian Nations) countries of Cambodia, Malaysia, Indonesia and Thailand. We distinguish between renewable and fossil fuel energy consumption to see their individual impacts on CO₂ emissions. The study employed a panel data from 1990 to 2019 derived from sources such as World Development Indicators, which were then analysed using Common-Correlated Effect Mean Group (CCEMG) and Augmented Mean Group (AMG) estimates. The findings show that renewable energy consumption has a negative impact on CO₂ emissions while fossil fuel energy degrades the environment. The role of natural resources was found to be favourable for environmental quality with the impact of agriculture being found to be detrimental. For regional trade integration, its influence was not significant enough to offset CO₂ emission. Furthermore, we discovered that political constraint induces CO₂ emission. Based on the result, it is recommended that the selected ASEAN countries promote the use of renewable energy and clean technologies in their manufacturing processes, conserve natural resources, adopt eco-friendly political policies and intensify regional integration to accelerate the achievement of the SDGs.

Environmental degradation, renewable energy, and economic growth nexus: Assessing the role of financial and political risks?

Sustainable development goal (SDG), which focuses on affordable and sustainable energy, provides a practical solution to realize sustainable growth. In addition, this target can encourage the realization of SDG 13 (climate action). However, factors like political and financial risk can impact climate actions and renewable energy. Therefore, this research extends the debate on the ecological footprint (EF) mitigation and achievement of SDGs by evaluating the renewable energy, political risk, financial risk, and EF nexus in an Environment Kuznets Curve (EKC) framework from 1986 to 2018. Panel data for the Association of Southeast Asian Nations (ASEAN) is estimated using second-generation approaches. The CuP-FM test results indicated that the EKC is present in ASEAN in the context of renewable energy, financial risk, and political risk. Furthermore, the findings revealed that controlling political and financial risks is a useful mitigation strategy because EF decreases as these risks are reduced. Notably, a decrease in EF has been linked to the use of renewable energy. These results are verified by using CO2 emissions as an alternative proxy for environmental degradation. Moreover, both financial and political risk Granger cause renewable energy and economic growth indicating that controlling financial and political risk is necessary for sustainable development.

Investigating the moderating role of economic policy uncertainty in environmental Kuznets curve for South Africa: Evidence from the novel dynamic ARDL simulations approach

South Africa, one of the emerging markets and fast-developing economies in Sub-Saharan Africa recognised for varying world's natural assets on the international market, has recorded significant economic growth in the previous several years. However, aside from the ecological repercussions of energy generation, how economic uncertainties moderate the effects of energy intensity, renewable and non-renewable energy usage, and economic complexity on the environment has largely gone unnoticed. As a result, this paper addresses an important empirical vacuum by exploring the moderating influence of economic policy uncertainty in the environmental Kuznets curve for South Africa from 1960 to 2020. Results from the novel dynamic autoregressive distributed lag simulations framework reveal the following key findings: (i) economic policy uncertainty accelerates environmental degradation in both the short and long run; (ii) economic growth (as measured by the scale effect) increases environmental degradation, whereas the square of economic growth (as measured by the technique effect) slows it down, confirming the presence of the environmental Kuznets curve (EKC) hypothesis; (iii) environmental quality is deteriorated by energy intensity, economic complexity, non-renewable energy usage, and trade openness; (iv) the use of renewable energy and technological innovation increase environmental quality; (v) whereas the moderating effects of economic policy uncertainty on the environmental impacts of energy intensity, renewable and non-renewable energy consumption result in an increase in environmental destruction, its moderating effect on environmental implication of economic complexity plays an important role in improving environmental quality. These findings permit us to draw important policy recommendations for South Africa for improving environmental quality.

Economic complexity, ICT, biomass energy consumption, and environmental degradation: evidence from Iran

Economic complexity, biomass energy consumption, and information communication technology (ICT) have diverse impacts on energy consumption and carbon dioxide (CO₂) emissions. Nevertheless, analysis of these variable effects is not addressed in the previous literature; the antiqueness of this article is stuffing this gap. This study assessed the relationship between gross domestic product (GDP) per capita, biomass consumption, economic complexity index (ECI), ICT, and CO₂ emissions in Iran in 1994-2018. The autoregressive distributed lag (ARDL) model and the quantile regression (QR) econometric technique were used to investigate the factors affecting CO₂ emissions in the tails of the conditional distribution. The share of each influential factor was predicted through the variance decomposition analysis (VD) for the next 10 years. The empirical results showed a long-run relationship between the variables. So, the variables of biomass consumption, ECI, and ICT improve the quality of the environment in Iran by reducing CO₂ emissions, and the per capita GDP variable increases CO₂ emissions. Results suggest no evidence indicating the presence of environmental Kuznets curve (EKC); however, QR demonstrated the existence of EKCs in the lower quantiles of the conditional distribution. The ECI will have the most share to change the CO₂ emissions in the future. The income threshold should be determined at the turning point of the EKC to increase economic development. Moreover, investing in increasing biomass consumption is vital. Policymakers also need to consider strict added value for the export of products.

A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case

Pakistan is developing South Asian country which is currently considering alternative energy sources including coal, solar, compressed natural gas, and wind energy to cope with the worst energy crisis in its history. Moreover, the policy promotion of compressed natural gas especially in the transport sector has raised concerns about the demand management of natural gas to avoid future shortages and ensure sustainable use of this precious non-renewable source of energy. Against this background, this study aimed to forecast natural gas demand in Pakistan for the 2016-2030 period by applying relevant univariate time series econometric methods. Apart from forecasting the overall natural gas demand, the forecasting analysis is also conducted for natural gas demand in Pakistan's total natural gas consumption and also for natural gas consumption across the household, industrial, commercial, transport, fertilizer production, power generation, and cement production sectors. Overall, the findings revealed that ARIMA is the appropriate model for forecasting gas consumption in Pakistan. Further, the growth of increase in the level of compressed natural gas consumption in the household sector is more as compared to all other sectors of the economy up to the year 2030. The key findings show that (a) natural gas consumption is likely to grow with time, (b) mixed projection trends are observed for the overall natural gas consumption and other sector-based natural gas consumption trends, and (c) the difference between natural gas consumption and production in Pakistan is likely to grow leading to 2030. As part of the policy recommendation in line with the findings, policymakers in Pakistan should increase the availability of natural gas, particularly in sectors where its consumption is likely to be declining. In addition, more proactive measures should be undertaken to explore the existing natural gas reserves in the long run while also importing natural gas from the neighboring nations in the short run. Furthermore, the government of Pakistan should seriously consider strategizing the development of the nation's compressed natural gas sector.

The effects of natural gas and oil consumption on CO2 emissions in GCC countries: asymmetry analysis

Oil and gas are key energy sources in the Gulf Cooperation Council (GCC) region. The present study examines the asymmetrical environmental effects of these energy sources and also tests the environmental Kuznets curve (EKC) from 1975 to 2019. In the long run, the EKC is corroborated in Kuwait and Saudi Arabia. But the EKC is not validated in the GCC Panel. Increasing oil consumption raises carbon dioxide (CO₂) emissions in all investigated GCC countries, and decreasing oil consumption reduces CO₂ emissions in Kuwait, Oman, Saudi Arabia, and the United Arab Emirates (UAE). The effect of oil consumption is found asymmetrical in Qatar and symmetrical in the rest of GCC countries. Increasing natural gas consumption (NGC) carries a positive effect in all investigated GCC countries, and decreasing NGC reduces emissions in Oman, Qatar, and the UAE. Moreover, NGC's effects are asymmetrically in all GCC countries except Qatar. In the panel estimates, both increasing and decreasing oil and NGC have positive effects on CO₂ emissions. The long-run effect of oil consumption on CO₂ emissions is larger than the effect of NGC in most GCC economies and panel results. In the short run, increasing and decreasing oil consumption and NGC have a positive effect on emissions in all investigated economies except Saudi Arabia. In the long run, coefficients of decreasing oil consumption are found significantly greater than coefficients of increasing NGC in Kuwait, Oman, Saudi Arabia, the UAE, and the whole GCC. This finding corroborates that increasing CO₂ emissions with increasing NGC is lower than decreasing CO₂ emissions with decreasing oil consumption. Hence, we recommend these countries switch from oil consumption to NGC to reduce overall CO₂ emissions.

Pathways to securing environmentally sustainable economic growth through efficient use of energy: a bootstrapped ARDL analysis

Oman has traditionally relied upon natural gas and oil for meeting its domestic energy demand. As a result, despite growing economically, the level of carbon dioxide emissions in Oman has persistently surged; consequently, the nation has failed to ensure environmentally sustainable economic growth. Against this background, this current study aims to explore the impacts of energy consumption, energy efficiency, and financial development on Oman's prospects of attaining environmentally sustainable growth over the 1972-2019 period. The estimation strategy is designed to take into account the structural break issues in the data. Using the carbon productivity level as an indicator of environmentally sustainable economic growth, we find long-run associations amid the study variables. Besides, higher energy consumption and greater financial development are found to impede carbon productivity while improving energy efficiency is observed to boost carbon productivity in Oman. Therefore, it is pertinent for Oman to consume low-carbon and energy-efficient fossil fuels, improve energy efficiency levels, and green its financial sector to achieve environmentally sustainable growth.

Pathways towards environmental sustainability: exploring the influence of aggregate domestic consumption spending on carbon dioxide emissions in Pakistan

The traditional literature has explored various factors including, but not limited to, trade openness, financial development, energy consumption, foreign direct investment, globalization, and per capita income that significantly contribute to carbon emissions. However, the current study identifies aggregate domestic consumption spending as a novel driver of carbon dioxide, employing the data for the period of 1973-2018 in Pakistan. To this end, we develop the theoretical framework to illustrate the link between aggregate domestic consumption spending and carbon dioxide emissions and deploy autoregressive distributed lag (ARDL), asymmetric ARDL, and the threshold non-linear ARDL (NARDL) techniques. The results of the ARDL method suggest that only in the short run, aggregate domestic consumption spending significantly affects carbon dioxide emissions. Furthermore, the findings of the NARDL approach reveal that the positive and negative shocks significantly deteriorate and ameliorate the environmental quality by increasing and decreasing the pollution, respectively, in the short and long run. Even though the outcome of the threshold NARDL technique supports the results of the aforementioned approaches, the novelty of the current study is to find out the threshold in aggregate domestic consumption spending, which carries a significant role in determining the carbon emissions in both periods. Besides, we infer that fossil fuels energy and trade openness also degrade the Pakistani climate by boosting atmospheric pollution. Additionally, the application of the asymmetric Granger causality test validates the results by asserting the casual relationship between aggregate domestic consumption spending and carbon dioxide emissions. Based on the results, we suggest the authorities to start to promote the deployment of green products publicly to obtain green and sustainable development.

The role of liquefied petroleum gas in decarbonizing India: fresh evidence from wavelet-partial wavelet coherence approach

India is predominantly a fossil fuel-intensive South Asian country that has traditionally settled for higher economic gains at the expense of lower environmental quality. However, in the contemporary era, it has become essential for India to come up with viable solutions that can enable the nation to transform its economy into a low-carbon one. Although replacing fossil fuel use with renewable energy sources is assumed to be the ideal pathway to decarbonizing the Indian economy, achieving this clean energy transition involves a long-term process. Thus, the Indian government should rather consider adoption of interim solutions to the environmental pollution problems faced by the nation. Against this backdrop, this study looks at whether enhancing the consumption level of liquefied petroleum gas, a relatively cleaner fossil fuel, can help India reduce its carbon dioxide emissions figures and attain environmentally sustainable economic growth. The econometric analysis is designed as per the theoretical framework of the environmental Kuznets curve hypothesis whereby the effects of economic growth on carbon dioxide emissions are examined controlling for liquefied petroleum gas consumption in the context of India between 1990 and 2018. Based on the findings from the autoregressive distributed lag model bounds test analysis, it is witnessed that there are long-run cointegrating relationships among per capita levels of carbon dioxide emissions, real gross domestic product, and liquefied petroleum gas consumption of India. Besides, the environmental Kuznets curve hypothesis is found to be valid only in the short run; however, it does not sustain in the long run since the economic growth-carbon dioxide emissions nexus is observed to follow a U-shaped relationship in the long run. Moreover, higher liquefied petroleum gas consumption is found to boost carbon dioxide emissions in the short run while reducing it in the long run. Furthermore, the findings from the wavelet and partial wavelet coherence and causality analyses also advocate in favor of promoting the use of liquefied petroleum gas in India in order to significantly curb the energy use-related carbon dioxide emission figures of the nation. Hence, considering these important findings, this study recommends that the Indian government should design policies for augmenting liquefied petroleum gas into the national energy mix and also adopt relevant green economic growth strategies in order to facilitate environmentally-sustainable growth of its economy.

The trade-off between energy consumption, economic growth, militarization, and CO2 emissions: does the treadmill of destruction exist in the modern world?

Militarization is crucial for the sovereignty of a nation; however, there are many environmental hazards associated with increased military spending. Previous panel studies mainly captured the short-run effects of militarization on the environment. Limited scholars determined the long-run environmental impacts of militarization but they mostly ignored possible cross-sectional dependence and heterogeneity problems in panel data. Our research highlights this deeply neglected area and examines the impact of militarization on the environment in 22 OECD countries by controlling economic growth, renewable energy, and fossil fuel consumption. Drawing on an extensive dataset from 1971 to 2020, we employed advanced econometric approaches robust against endogeneity, heterogeneity, and cross-sectional dependence. The results of the cross-sectional augmented autoregressive distribute lag (CS-ARDL) analysis indicate a positive contribution of militarization to CO₂ emissions implying that militarization is adding to the environmental degradation in OECD nations. This evidence proves the treadmill of destruction theory for OECD nations in the modern world. Economic growth and fossil fuels consumption increase CO₂ emissions, while renewable energy mitigates emissions. Moreover, economic growth Granger causes militarization. Our results suggest that reduction in militarization level and energy conservation strategies will not hamper the economic progress of selected OECD countries.

Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.