The significance of natural resources in the global movement towards environmental sustainability has been thoroughly examined, with many discussions highlighting their detrimental impacts on the ecosystem. Starting from the most recent order, (Khan and Hassan, 2024), evaluate the roles of natural resource rents in a sample of 11 emerging economies from 2000 to 2021. The study extends its empirical probe to the effects of high-tech exports, renewable energy, economic growth, and corruption. To ascertain the economic relevance of each exogenous variable, the study relies on Westerlund cointegration test in validating the long-term cointegration relationship between the variables under study whereas Moment of Moment Quantiles Regression (MMQREG), Augmented Mean group, Canonical Cointegration regression, Fully Modified OLS, and Dynamic OLS are employed to assess the stated hypotheses. Findings indicate natural resources rent rive significant surge in CO2 emissions thereby hindering the attainment of environmental sustainability. Besides, high-tech exports and economic growth escalate the emissions surge. Conversely, corruption and renewable energy appear to be negative predictors of CO2 emissions surge implying they both support the drive toward environmental sustainability. (Wang et al., 2024) explore how the nexuses of natural resources consumption, globalization, globalization, renewable energy use, and agricultural practices impact the ecology in China from 1990 to 2020. The study uncovered that natural resources can decrease CO₂ emissions in certain economies. Conversely, globalization and agriculture have been found to simultaneously increase CO₂ emissions. Fortunately, the utilization of renewable energy sources has proven to be a positive factor in reducing CO₂ emissions.

Furthermore, (Sadiq et al., 2024), investigate how natural resources and green finance moderate the impact of fintech on environmental sustainability in China between 2013 and 2022. The study enhances the existing model and examines the practicality of environmental regulations and government measures. Several regression-based models indicate that China’s fintech development contributes to climate quality by facilitating the reduction of CO₂ emissions. However, the volatility of natural resources weakens climate sustainability, while green finance plays a positive role in mitigating this effect. Additionally, environmental laws and business structures have a negative impact on environmental quality. The improvement of climate quality largely depends on government actions. Moreover, the carbon intensity related to fintech is found to vary across different quartiles. Lastly, the impact of fintech on carbon emissions differs among various subsamples based on the COVID-19 pandemic. (Han et al., 2024). the extent to which natural resources drive zero-emissions amidst the interplay of government debt and political stability in a panel study comprising China, India, Pakistan, and Kazakhstan, utilizing cross-country data from 2001 to 2021. The study conducts longrun test by relying on Westerlund panel cointegration test which affirms the existence of a long-term equilibrium relationship between the variables. Besides, the main analyses reveal the existence of a statistically insignificant yet favorable correlation between economic growth and the transition to zero emissions. Furthermore, it was evident from the analyses that a significant and negative correlation between CO₂ emissions and political stability. The relationship between GDP and CO₂ emissions exhibits a non-linear pattern, with emissions increasing up to a certain threshold as GDP grows. More apparently, natural resources use negatively impacts the transition to zero emissions, as there exists a direct connection between natural resources and CO₂ emissions. The robustness of the empirical outcomes was confirmed through Iterated Generalized Least Squares (IGLS) analysis.

In a piece of separate evidence, Ashraf et al. (2024) investigate the correlation between natural resources and CO₂ emissions in the top ten producing countries from 2001 to 2021. The additional impacts of digital commerce, renewable energy consumption, environmental technology, and economic development are evaluated. The empirical results indicate that economic development and environmental technology have a significant impact on increasing the ecological footprint. Conversely, the utilization of renewable energy sources, digital commerce, and the availability of natural resources contribute to a reduction in the ecological footprint over time (Fan and Wang, 2024). probe the correlation between resource efficiency and green economic growth in the BRICS countries from 1990 to 2021. The results clearly demonstrate that adopting sustainable consumption and production methods encourages the formation of multi-stakeholder partnerships that promote a green economy. Furthermore, greenfield exhibits different risk and return profiles compared to traditional industries within the current private financial systems.

The assessment of the interplay of natural resources and government regulation in CO₂ emission mitigation constitutes the center of research interest for (Li et al., 2023) in China from 2008 to 2018. The key findings uncover that sturdy environmental regulation can diminish the reliance on natural resources and increase its contribution to CO₂ emissions. In addition, it is noted that in numerous regions, there exists a positive correlation between natural resources dependency and CO₂ emissions, while regions with high reliance on natural resources exhibit a negative correlation between environmental legislation and carbon dioxide emissions. Lastly, natural resources dependency may expedite certain factors. (Wang K. et al., 2023). utilizes advanced econometric statistical models to analyze the connections between natural resources, sustainable energy, human capital, and CBCE in the G7 economies from 1976 to 2020. TCSARDL estimator, the study finds that imports have a positive relationship with CBCE, while exports have a negative relationship in developed countries. To ensure the reliability of the findings, the results are further validated using the AMG and CCEMG methods (Zhou et al., 2023). analyze the impact of economic globalization, natural resources, economic growth, and distributed energy sources on CO₂ emissions in RCEP countries from 1990 to 2020 based on advanced estimators comprising Granger panel causality tests, quantile regression, and cointegration analysis. The empirical evidence demonstrates that the abundance of natural resources, economic growth, and the use of non-renewable energy sources contribute to increased CO₂ emissions, leading to environmental degradation in RCEP countries. However, these countries can mitigate their CO₂ emissions by adopting renewable energy sources and embracing economic globalization. The empirical findings from the study conducted by (Tanveer et al., 2024) reveal the deteriorating effects of fossil fuels on environmental sustainability in Pakistan.

The role of key variables such as renewable energy in the group of green energies has been empirically established in the literature. For instance, (Qamruzzaman and Karim, 2024) investigate the essential function of green policies in achieving carbon neutrality by analyzing the synergistic effects of green finance, green technology innovation, and the adoption of green energy. The emanating findings underscore the importance of green finance mechanisms in mobilizing resources for sustainable initiatives, such as energy-efficient technologies and renewable energy projects. Furthermore, the study reechoes the criticality of green technology innovation in expediting technological advancement, reducing emissions, and fostering economic growth (Qing et al., 2024). estimate the extent to which financing green initiatives and renewable energy sources promote the drive toward carbon neutrality goals and ensure sustainable economic growth in 12 provinces in China from 2000 to 2019. The study employs dynamic and fully modified ordinary least squares methodologies for analysis. Results indicate that green financing and renewable energy play significant roles in addressing challenges such as climate change and environmental degradation, thereby establishing a foundation for economic sustainability (Yang et al., 2024). examine the ecological energy transition (fossil fuels, nuclear, and renewable energy) amidst the intervening roles of urbanization, structural change, and environmental technology within the BRICS nations from 1996 to 2019. The primary findings indicate that urbanization and reliance on fossil fuels impede the BRICS’ initiatives toward achieving a environmental sustainability by exacerbating carbon emissions. Conversely, nuclear energy, renewable energy, environmental technology, and structural changes contribute significantly to enhancing environmental sustainability by facilitating reductions in CO₂ emissions.

Furthermore (Han et al., 2024), employ the advanced STIRPAT model to examine the symmetrical effects of eco-digitalization, green technology, green finance, and renewable energy on environmental sustainability in China. Utilizing quarterly data spanning from the first quarter of 1995 to the fourth quarter of 2019, the research applies the ARDL model to evaluate the proposed hypotheses. The findings indicate that eco-digitalization, green technology, green finance, and renewable energy contribute to environmental sustainability in China by mitigating CO₂ emissions and reducing the ecological footprint. Conversely, the factors of wealth and urbanization are associated with an increase in pollutant levels (Wang et al., 2023a). evaluate the impact of green policies vectoring green energy, green finance, and green innovation on environmental sustainability, specifically as it relates to CO₂ emissions, ecological footprint, and PM2.5 air pollutants within the BRICS nations from 1995 to 2019, in the context of eco-digitalization and urbanization. The empirical evidence relies on second-generation estimators alongside the STIRPAT framework. The study finds that green energy, green finance, green innovation, and eco-digitalization contribute positively to environmental sustainability Conversely, urbanization and increased wealth are detrimental to environmental sustainability, as they exacerbate the identified pollutants (Abdul et al., 2022). examine how China’s carbon intensity is affected by renewable energy, foreign remittances, globalization, financial development, and economic growth. The study used multiple diagnostic tests and the linear Autoregressive Distributed Lag (ARDL) approach on data spanning from 1990 to 2020. The linear ARDL methodology’s results show that renewable energy contributes to lessening environmental damage. On the other hand, the decline in China’s environmental conditions is a result of globalization, financial development, economic expansion, and foreign remittances. Furthermore, the results imply that renewable energy has a detrimental short- and long-term impact on environmental deterioration.

The appraisal of the existing body of studies reveals some lacunas that remain unfilled and perhaps could be held responsible for the apparent inconclusiveness in the literature. For instance, despite the overwhelming interest in the study of the nexus between natural resources and environmental sustainability, the consideration of the consumption and production arguments remains largely neglected. Besides, the consideration of the roles of green policies together with environmental tax and financial development is a novel idea that is scarce in the extant literature. These among others are eminent gaps that the current study fills.

The analysis of this study focuses on production and consumption effects of natural resources including coal, gas, and oil on environmental sustainability in G20 economies. The empirical evidence, based on panel data from 1995 to 2019, extrapolates to the role of green policies comprising (green energy, green technology, and green finance), environmental tax, population, and economic growth. The endogenous variable which is environmental sustainability is measured by two indicators such as CO₂ emissions and ecological footprint. The scope of the analysis from 1995 to 2019 is based on three criteria. First, the year 1995 was chosen because several important variables such as green technology, green finance, and environmental tax were not observed in the previous year. Second, 2019 is strongly selected because most explanatory variables are not available beyond 2020. Third, the estimates used in this study require the panel data to be highly balanced, which seems reasonable for the period 1995–2019. The study focuses on the G20 due to their considerable impact on three critical environmental challenges: increasing pollution and waste, the deterioration of nature and biodiversity, and the intensifying effects of climate change. These issues arise from the unsustainable production and consumption practices of G20 nations, which pose significant threats to global economies (Andersen, 2023). Besides, in 2021, global carbon dioxide emissions reached 38.0 billion tons, with around 81% originating from G20 nations. Among these, China, the United States, and the European Union were the leading contributors to CO₂ emissions (United Nations Environment Programme, 2021). Furthermore, the G20 countries have acknowledged the critical need to enhance productivity growth and improve the efficiency of natural resources utilization, particularly in response to the accelerating depletion of these resources worldwide. In this context, they have undertaken several important initiatives. A primary focus for G20 economies has been the adoption of advanced technologies and methodologies aimed at optimizing the extraction, processing, and consumption of resources (Shah et al., 2024). Considering the high level of economic development occasioned by advancement in technological innovation and advocacy for the transition to 100% renewable energy (Ibrahim, 2022), the roles of G20 in the drive for green policy initiatives cannot be overemphasized. Table 1 provides detailed information about the dataset, including variable names, units of measurement, and data sources.

The present study examines the impact of natural resources on the environment of G20 economies, drawing upon the theoretical framework of Dietz and Rosa’s (1997) STIRPAT model. This model takes into account the influence of multiple environmental factors, allowing for non-monotonic or uncorrelated outcomes (Qi et al., 2023). The basic model of this framework is commonly employed to analyze various aspects of environmental quality as thus: I = β P i ϑ 1 × A i ϑ 2 × T i ϑ 3 × π i (1)

In accordance with Equation 1, the variable I denotes the aggregate carbon dioxide emission and remains constant, while the index coefficients P, A, and T are expressed as follows σ 1 , σ 2 , σ 3 . The error is denoted as π . A linear representation of this model can be expressed in Equation 2. ln ⁡ I i t = β 0 + σ 1 ln ⁡ P i t + σ 2 ln ⁡ A i t + σ 2 ln ⁡ T i t + π i (2)

In accordance with the objectives of the present study, we adhere to the works of (Wang A., et al., 2023; Xing et al., 2023; Zhu et al., 2022) to explicate the STIRPAT model. The fundamental model posits: S U S E N V i t = σ 0 + σ 1 N a t r e s i t + σ 2 G r e p o l i t + σ 3 A f f l u e i t + σ 4 P o p i t + α i t (3)

Based on Equation 3, SUSENV denotes CO₂ emissions, Natres stands for natural resources encompassing two variations such production and consumption. Grepol denotes green policies vectoring green technology (GTECH), green finance (GFINANCE), and green energy (GENERGY). Afflue denotes affluence and Pop represents population.

Equation 4 can be expanded to incorporate the full set of the indicators including other covariates such as environmental tax (EnvTax), and financial development (FDV) as thus: S U S E N V i t = σ 0 + σ 1 c o a l p r i t + σ 2 g a s p r i t + σ 3 o i l p r i t + σ 4 g t e c h i t +   σ 5 g f i n a n c e i t +   σ 6 g e n e g y i t + σ 3 G D P P C i t + σ 4 P o p i t + σ 5 E n v T a x i t +   σ 6 F D V i t + α i t (4)

Equation 5 depicts the production channel model. To estimate the consumption channel effects of natural resources, we restate the model for the consumption indicators as thus: S U S E N V i t = σ 0 + σ 1 c o a l c o i t + σ 2 g a s c o i t + σ 3 o i l c o i t + σ 4 g t e c h i t + σ 5 g f i n a n c e i t + σ 6 g e n e g y i t + σ 3 G D P P C i t + σ 4 P o p i t + σ 5 E n v T a x i t + σ 6 F D V i t + α i t (5)

Both pr and co are suffixes denoting production and consumption channels respectively.

In the context of a specific model that encompasses a particular relationship; economic intuition typically offers a crucial elucidation of the feedback mechanism between exogenous and endogenous variables. In order to comprehend this relationship within the realm of environmental sustainability in G20 economies, it becomes imperative to grasp the reasons and mechanisms through which natural resources instigate variations in CO₂ emissions and ecological footprint. To achieve this objective, we draw upon insights derived from prior empirical studies. Beginning with natural resources, it is imperative to clarify that the depletion of available resources provides negative externalities to the environment in the form of pollution that degrades the quality of the ecosystem (Xu and Hu, 2024). For instance, the processes involved in the production of coal, oil, and natural gas emit substantial quantities of CO₂ emissions all of which do not exit the atmospheric system. This is especially true considering the fact that these economies are fossil fuel dependent (Balsalobre-Lorente et al., 2023; Ibrahim and Ajide, 2021a). The resultant effects of these emissions hinder the ecological system. Notable strands of empirical studies allude to the deteriorating effects of natural resources on the ecosystem (Akram et al., 2023; Saud et al., 2023; Xiaoman et al., 2021). Consequently, a direct nexus is anticipated thus δ C O 2 δ N A T R E S < 0 .

The quantity of research substantiating the significance of environmentally friendly policies for the preservation of the environment has witnessed a substantial surge in the past few decades. The majority of these studies center their attention on the potential of green policy indicators, such as green technology, green finance, and green energy, to foster economic expansion. This correlation signifies progress in mitigating environmental issues stemming from economic activities. It has been demonstrated that the adoption of green policies effectively curtails CO₂ emissions and other associated pollutants (Nassani et al., 2021; Niu et al., 2023; Wang A., et al., 2023). Consequently, the aforementioned relationship presents the prospect of a connection between CO₂ emissions and the implementation of green initiatives δ C O 2 δ G R E P O L < 0 .

Population growth is an inherent occurrence that poses a significant obstacle to sustainable development due to the increasing demands of the population for finite resources. Furthermore, population pressure is deemed particularly detrimental to the environment as it perpetuates the ongoing depletion of existing natural resources, consequently impacting the emission of greenhouse gases in an adverse manner. Consequently, population has been empirically acknowledged as the catalyst for CO₂ emissions (Alnour et al., 2022; Chen et al., 2022; Zhang et al., 2021). Consequently, a direct relationship is expected with CO₂ emissions as thus δ C O 2 δ P O P > 0 .

The environmental effects of tax revenues have been noted to be effective in moderating the surge in ecological pollutants. Precisely, the societal expenses associated with coal are manifested in the form of environmental taxes, which are regarded as the primary policy instrument for regulating carbon emissions. The escalation in prices of carbon-emitting commodities leads to a reduction in their demand. Notable strands of empirical studies affirm the carbon-mitigating impacts of environmental tax revenue (Bigerna et al., 2023; Safi et al., 2021; Wolde-Rufael and Mulat-Weldemeskel, 2022). Consequently, we anticipate a negative association between carbon emissions and environmental tax revenue as follow δ C O 2 δ E n v T a x < 0 s. The impact of affluence through economic growth on the environment has garnered the interest of scholars in the field of environmental studies. Notably, studies have indicated that economic growth can effectively escalate the rise in CO₂ emissions (Ahmed et al., 2022; Qi et al., 2023; Xing et al., 2023). This association is articulated as follows δ C O 2 δ G D P P C < 0 .

The correlation between financial development and CO₂ emissions has been extensively examined, with two notable findings. The first empirical observation posits that financial development fosters higher carbon emissions by providing financial resources to organizations and government agencies, thereby stimulating increased economic activity. This heightened economic activity results in greater energy resource consumption, predominantly derived from fossil fuels, consequently exacerbating CO₂ emissions growth. Hence, a direct relationship is inferred. Conversely, financial development may enhance the accessibility of financial services for individual households to acquire energy-efficient appliances, while also motivating companies to modify their business practices. On the basis of the two arguments, two directions of effects are anticipated comprising direct and indirect as thus δ C O 2 δ F D V < 0 and δ C O 2 δ F D V > 0 .

Conventional evaluation methods are employed to assess the extent to which natural resources, green policies, environmental tax, and other covariates contribute to environmental sustainability, particularly in G20 countries, with the aim of deriving the most pertinent and precise empirical findings. This examination encompasses various aspects, including the level of consistency in the slope coefficient, the presence or absence of cross-sectional dependence in the slope coefficients, the stationarity and long-term behavior of the series, the assessment of the long-term impact of external indicators on the resultant variable, and the causality of the estimated model. Recent empirical studies, such as those conducted by Akram et al. (2023), Lanre Ibrahim et al. (2022), and Shen et al. (2023), are carefully scrutinized to uncover these aspects. Figure 3 provides a visual representation of the aforementioned steps.

The criteria for selecting each method are methodical and adhere to established guidelines found in the literature. For example, assessing the nature of dependency and heterogeneity within the model via cross-sectional dependence (CSD) and slope heterogeneity tests (SHT) is essential for determining whether to employ first-generation or second-generation techniques. When both CSD and SHT are identified in the model, second-generation methods are considered the most suitable. Conversely, if these conditions are not met, first-generation techniques are regarded as appropriate. The appropriateness of second-generation methods for instance, will lead to the choice of Westerlund cointegration technique due to its robustness to handle the potential disruption that could arise from CSD and SHT. The assessment of long-term impacts is affected by prior conditions, with the cross-sectional autoregressive distributed lag (CS-ARDL), common correlated effects mean group (CCEMG), and augmented mean group (AMG) identified as the most suitable approaches. The selection methods for additional robustness analyses are similarly influenced.

When determining the suitability of data sets and estimates for regression analysis, the empirical process depicted in Figure 3 recommends the consideration of two factors. Specifically, it is advisable to conduct cross-sectional dependence tests and homogenous slope tests to ascertain whether the data is influenced by an unknown common component. The presence of the two tests necessitates the use of the second-generation estimator, which is more effective in identifying spurious series through unit root tests such as cross-sectionally augmented ADF (CADF) and cross-sectionally augmented IPS (CIPS) unit root tests. In the absence of either test, first-generation estimators such as the standard ADF and IPS unit root tests may be deemed acceptable for unit root analysis. The choice of approach (first or second order) determines the estimator to be employed in subsequent analyses. On the other hand, the existence of cross-sectional dependence and slope heterogeneity leads to the adoption of second-generation methods. In such a situation, cross-sectional autoregressive distributed lag (CSARDL) is adopted to estimate the short and long-run estimates. Among many other reasons, CSARDL estimator is capable of controlling for the econometric issues arising from cross-sectional dependence and slope heterogeneity. The ability of the estimator to simultaneously estimate the short-run and longrun estimates without losing track of the efficiency further accentuates the reason for adopting it. Furthermore, common correlated effects mean group (CCEMG), augmented mean group (AMG), and method of moment quantile regression (MMQR) are employed as robustness checks for the main estimator. These estimators efficiently subdue the inconsistency in the estimated results that could be attributed to cross-section dependence and slope heterogeneity.

This study investigates three channels that delineate the types and features of data employed to empirically assess established objectives. Initially, the summary statistics depict the mean values of each indicator during the study period. Furthermore, normality tests are furnished to indicate whether the variables’ distribution is normal or non-normal. To gain a comprehensive comprehension of the numerous environmental indicators chosen in GG20, we commence with their preliminary analyses in Table 2. The descriptive analysis reveals the mean value of 10.08 for carbon emissions in G20 economies. Regarding the indicators of natural resources, it is evident that consumption pattern in oil resources averaging 9.69 is the highest among the classes of natural resources followed by natural gas and coal with mean values of 6.15 and 4.38 respectively. The mean values in production pattern of natural resources reveal that oil with the highest value 5.07 followed by natural gas production averaging 4.65 and oil production with a mean value of 3.64. The mean values of the conduction and production patterns suggest that the G20 economies are more reliant on nonrenewable sources of energy than renewable resources. Evidence abounds justifying the fossil-dependent nature of the G20 on fossil fuels energy resources for production and other economic (Balsalobre-Lorente et al., 2023). The mean values of green policies vectoring green energy, green finance, and green technology are provided thus 166.20, 2,149.9, and 2,735 respectively with the general depiction of thriving moments of these macroeconomic indicators in G20 economies. Environmental tax averaging 1.97 suggests an evolving policy era of the environment indicators. Population, economic growth, and financial development average 1,010, 38,722, and 123 respectively. The dataset is observed to be abnormally distributed considering the values of the skewness, kurtosis, and Jarque-Bera in Table 2.

Table 3 presents the outcomes of the preliminary tests conducted with a specific focus on the dependency of the series based on Pesaran (2015) and Pesaran (2004). Based on these results, it can be inferred that the probability values are statistically significant, indicating a strong interdependence among the cross sections. The conformity of the findings to rule of thumb is further reinforced by the 1% level of significance, and this conclusion is supported by correlation coefficients ranging from 67% to 98%. This suggests that macroeconomic shocks in one of the G20 economies can have both positive and negative impacts on others. The active engagement of the G20 countries in regional and global intergovernmental organizations adds credibility to these findings. Moreover, these countries engage in trade with each other and collaborate to adopt a unified stance on certain economic matters. Interactions between countries can lead to either positive or negative effects when one country experiences macroeconomic shocks. By analyzing the delta significance and corrected delta-tilde statistics, it is evident that the result of slope homogeneity contradicts the null hypothesis of a unity slope. The fact that the political systems and ethnic composition of the G20 countries are highly diverse supports the conclusion. It is worth noting that the heterogeneity of the slope and cross-sectional CSD demonstrates that the first-generation unit root test is not appropriate for estimating the unit-roots of a series. On the other hand, empirical evidence has indicated that second-generation unit root testing is sufficient and dependable.

This work employs second-generation approaches to ascertain the stable state of the series, taking into account the dependence of the cross-section and the variability of the slope. The obtained results, presented in Table 4, utilize the cross-sectionally augmented IPS (CIPS) and cross-sectionally augmented ADF (CADF) tests. Upon applying the first difference, the data reveals that all variables exhibit stationarity, indicating an I (1) order of integration. To address the two econometric inquiries raised earlier, this study conducts a panel cointegration test based on cross-sectional dependence and feedback of the slope heterogeneity test (Westerlund, 2007), offering a resolution. The group (Ga) and panel (Pa) statistics are employed to assess the likelihood of a lasting association under the assumption that no long-term relationship exists. The outcomes from Table 5 demonstrate that despite the alternative hypothesis proposing the presence of a long-term relationship, the null hypothesis is refuted. This discovery implies that a long-term relationship does indeed exist among natural resources, green policies, environmental tax, economic growth, and population in G20 economies.

Examining the impact of regressors on outcome variables in long-term relationships is more advantageous due to the existence of long-term relationships among the measures. This research employs a cross-sectional dependent technique (CS-ARDL) to assess both short-term and long-term associations among the dependent and independent indicators. Additionally, two supplementary estimators, CCEMG and AMG, are employed to provide further evidence for the long-term effects of CS-ARDL. As evident from the empirical outcomes provided in Table 6. It is pertinent to mention that our analysis focuses on two angles through which natural resources impact the environment which are the consumption and production angles.

Based on the outcomes presented in Table 6, it is apparent that two of the three measures of natural resources consisting of coal and oil have both short-term and long-term positive effects on CO₂ emissions. The reported carbon-inducing effects are apparent from the consumption and production channels. The AMG and CCEMG estimators provide complementing outcomes fortifying the CS-ARDL feedback. Consequently, it can be inferred that the continued growth in both coal and oil in the G20 economies will further endanger the sustainability of the environment for the present and future generations. A result of this nature indicates that a continuous dependence on oil poses substantial threats to the Group’s commitment to achieving net zero emissions by 2050. Furthermore, it is quite interesting to mention that the impacts of gas on carbon emissions from both consumption and production display some significant level divergences in terms of facilitating and hindering environmental sustainability in the G20 economies. For instance, the production channel advances positive effects on CO₂ emissions implying that a rise in natural gas production leads to a corresponding increase in CO₂ emissions. Conversely, the consumption channel provides substantial support for environmental sustainability as apparent from the significantly negative coefficient of natural gas on CO₂ emissions.

The feedback on the effects of green policies shows significant support for achieving sustainability targets in the G20 countries. This is obvious from the various impacts exerted by each of the green policy indicators. For instance, green technology (GTECH) is observed to significantly reduce carbon in the short and long run, and from both angles of consumption and production. Analogously, green finance (GFINANCE) and green energy (GENERGY) prove to be substantial in mitigating the surge in CO₂ emissions across the various levels of assessments as depicted earlier. In essence, the totality of green policies appears as driving factor of environmental sustainability in the G20 economies. The role of environmental tax in moderating the rise in CO₂ emissions is empirically supported by the significant and negative coefficient values in the short run and long run from both angles of consumption and production. The moderating roles of financial development are evident in the longrun suggesting that advancements in the financial sectors of the G20 economies will provide substantial support for green environment projects. The provision of financial support for the growth of renewable energy will result in significant reduction in fossil fuel consumption.

The twist of the foregoing effects is evident in the way population growth and economic growth hinder sustainability targets in the economies. Both indicators are noted to exacerbate environmental degradation by inducing significant surge in CO₂ emissions. In conclusion, all the models indicate temporary disparities, with a correction rate of 61% for the consumption model and 57% for the production model. The noteworthy adaptation rates of these two models underscore the significant adverse environmental effects caused by natural resources, particularly their rigid reliance on and incapability to adjust to policy alterations aimed at mitigating resource exhaustion.

A summary of the empirical outcomes as explicated above is presented in Figure 4. Going by the diagram, it is evident that the inducing effects of coal, petroleum oil, population, and economic growth are explicated with positive signs. The moderating impacts of natural gas, green technology, green finance, green energy, environmental tax, and financial development are exposited with negative signs.

The current study provides empirical evidence to substantiate the environmental effects of natural resources from consumption and production angles in G20 countries. The empirical model allows for examining the additional roles of green policies, environmental tax, and financial development estimated within the STIRPAT theoretical framework. The outcomes of the Table 6 hypotheses test show that coal and oil exert positive impacts on CO₂ emissions in the short and long run. The observed carbon-generating effects are reflected in consumption and production patterns. Consequently, the continuous growth of coal and oil by the G20 economies poses an additional threat to the environmental sustainability of current and future generations. This outcome demonstrates that despite the commitment of the G20 economies to zero emissions by 2050, continuous reliance on coal and particularly petroleum products will serve as a deterrent to achieving the set goals. The escalating impacts of coal and oil on environmental pollutants hinder the strides toward sustaining the G20 environments and this has triggered renewed attention and commitments by the group of economies to phasing out these two pollution drivers. For instance, on 16 April 2023, the climate and environment ministers of the G20 nations issued a statement emphasizing the global reduction of emissions from fossil fuels, particularly coal power. They reiterated their commitment to fully or predominantly decarbonize their energy sectors by 2035, aiming to achieve zero energy systems by that time. Additionally, they vowed to accelerate the elimination of all remaining burning fossil fuels to prevent global temperatures from surpassing a 1.5-degree increase (Powering Past Coal Alliance PPCA, 2023).

Moreover, it is worth mentioning that the influence of natural gas from production angle hinders the attainment of environmental sustainability which could be exposited from two angles. First, transmission pipeline drilling is employed for the extraction of natural gas, with routine inspections conducted on wellheads and motor-driven lines to ensure efficient gas production. Compressors are utilized to regulate the pressure of the gaseous gasoline as it traverses through the transportation pipeline. The processes involved in the drilling emit some significant volumes of pollution into the atmosphere. Second, methane, which is the primary constituent of natural gas, escapes during the process of drilling wells, mining, and transporting gas via pipelines. In terms of heat retention over a hundred years, methane is three times more effective than CO₂ emissions.

On the flip side, the channel of natural gas effects on CO₂ emissions indicates it drives environmental sustainability by mitigating CO₂ emissions. The moderating effects of natural gas are evident in the roles it plays in emitting minimal pollutants in comparison to petroleum oil. The moderating impacts of natural gas consumption are evident from the notably negative coefficient of gaseous CO₂ emissions from both perspectives. A substantial strand of empirical evidence affirms the exacerbating roles of natural resources on the environment (Luo et al., 2024; Ahmad et al., 2023; Wang et al., 2023b; Xiaoman et al., 2021). Besides, studies such as (Ibrahim and Ajide, 2021b; Wang Z. et al., 2023) specifically accentuate the roles of natural gas in the promotion of environmental sustainability.

Within the G20 nations, there is unanimous backing for the attainment of sustainability objectives when discussing the effects of eco-friendly measures. The distinct influence of each green policy indicator is readily apparent. To illustrate, the empirical findings from this study demonstrated that green technology significantly diminishes CO₂ emissions both in the short and long run, encompassing aspects of production and consumption. As previously mentioned, green energy and green finance hold crucial roles in curbing peak CO₂ emissions across all levels of assessment. On the whole, it appears that the environmental sustainability of G20 economies is primarily propelled by their initiatives in the realm of green practices. Considering the aforementioned factors, available facts unveil that the G20 economies have committed to guiding the global energy market towards achieving zero emissions by 2050. This commitment aims to facilitate a technology-driven shift towards achieving net zero emissions, which will be supported by relevant policies of which green policies are not negligible (International Energy Agency, 2021). The extant studies have documented the efficacy of green policies from the varying components in promoting environmental sustainability through the mitigation of carbon emission surge particularly as it relates to green technology (Xu and Hu, 2024; Radmehr et al., 2023; Sharif et al., 2023); green finance (Qi et al., 2023; Shen et al., 2023), and green energy (Akram et al., 2023; Sharif et al., 2023).

Furthermore, the estimated models reveal that there is empirical evidence confirming the effectiveness of environmental taxes in reducing CO₂ emissions. The coefficients for both short-term and long-term effects are significant and negative when it comes to consumption and production. The implication is that an increase in carbon prices occasioned by high rates of taxes on carbon-related products will inversely result in decrease in demand for such products. The eventual result will be a significant decline in carbon emissions. Hence, we can infer that environmental taxes inversely relate to carbon emission surge. Specifically, empirical evidence from the work of Shi et al. (2022) reveals that environmental taxes exert a statistically notable impact on conventional energy usage, resource rents, and renewable energy consumption. Furthermore, they propose that environmental taxes serve as an efficacious approach for G20 nations to curtail emissions. Regarding the roles of financial development in facilitating environmental quality, results from the current study show that long-term financial developments and dampening effects play a crucial role, indicating that the financial sectors of G20 countries have a significant impact on environmental projects. Furthermore, providing financial support for the expansion of renewable energy leads to a substantial decrease in the reliance on fossil fuels. Appreciable strands of empirical studies confirm the significance of financial development to the achievement of environmental quality (Acheampong, 2019; Baloch et al., 2021; Li et al., 2022).

The inducing roles of population on carbon emissions are empirically accentuated from the estimated model for the G20 economies. This is evident from the coefficient of population that is positive and statistically significant across models. The ecological implications of population can be justified from the viewpoint of the fact that the growing population results in increased demand for basic needs of humans of which food is not negligible. This is because food is a fundamental requirement for the survival of human beings, and as the world and population continue to expand, the demand for it also rises. To meet this growing need, extensive deforestation takes place as a consequence of agricultural development. The inability of forests to counterbalance the effects of heightened CO₂ emissions leads to a rise in temperatures. A burgeoning strands of studies attested to the aggravating effects of population on the environment (Alnour et al., 2022; Chen et al., 2022; Zhang et al., 2021). The results on economic growth-carbon emissions nexus show that the former is a positive predictor of the former suggesting that a significant rise in the rate of economic expansion leads to a corresponding increase in the level of CO₂ emissions in G20 economies. Although the G20 economies are basically categorized as developed nations, the continuous dependence on fossil fuels in the majority of the economic activities contributes to the direct relationship between economic growth and environmental pollution in these countries. The majority of empirical findings have established the existence of positive nexus between economic growth and environmental pollution (Ahmad et al., 2023; Ahmed et al., 2022; Wang A. et al., 2023).

The present study extends its contributions to the extant studies by considering robustness analyses from two different angles. First, a different outcome variable is considered with a specific focus on ecological footprint. The second robustness focuses on estimating the distributional effects of the exogenous variables on environmental sustainability based on quantile regression.

To ascertain the extent of causality between the dependent and independent indicators in an empirical study, it is imperative to conduct a causality test, as the presence of substantial effects of regressors on the outcome variables does not necessarily indicate a causal relationship between them. This research employs Dumitrescu Hurlin panel causality tests, which are adaptable to account for variations in slopes and cross-sectional dependence. Based on the results in Table 9, it is evident that the three indicators of natural resources have bidirectional causality with CO₂ emissions. The implication of the two-way causal nexuses is that policy measures that are directed toward halting the depletion of natural resources (coal, oil, and natural gas) will have significant impacts in reducing CO₂ emissions. For instance, attempts toward phasing out coal in recent times have seen appreciable reductions in the surging CO₂ emissions. Conversely, policy initiatives implemented with the aim of reducing CO₂ emissions may have significant impacts on minimizing the depletion rates of natural resources. In case, policy measures favor depletion of natural resources, it is most likely that CO₂ emissions will escalate.

There is a two-way causality observed between green technology (GTECH) and CO₂ emissions suggesting both have the tendency to cause each other inversely. By implication, policy measures implemented to promote green technology will see substantial decline in CO₂ emissions. For instance, the promotion of research and development (R&D) may lead to the discovery of production techniques that reduce CO₂ emissions significantly. On the other hand, the drive toward reducing could result in the adoption of green technology as a tool to achieve such ecological target. There is a unidirectional causality reported in the relationship between green finance, green energy, environmental tax, financial development, economic growth, and population. This implies that policy measures directed to promote green finance, green energy, and environmental tax will have ensuing impacts in reducing CO₂ emissions. The causality in the case of population implies that any policy that triggers a rise in population growth will exacerbate the level of CO₂ emissions. The one-way causality in the nexus of economic growth with CO₂ emissions suggests that policy measures that enhance expansion in the general level of production will lead to a rise in the level of CO₂ emissions.

This research investigates the two main channels (comprising consumption and production) through which natural resources (decomposed into coal, oil, and natural gas) impact environmental sustainability vectoring CO₂ emissions and ecological footprint in G20 countries from 1995 to 2019. To position the relevance of the study at the center of the extant literature, the roles of green policies, environmental tax, financial development, population, and economic growth are carefully examined. The empirical analyses encompass series of validations specifically with the consideration of second-generation tests such as cross-sectional dependence test and slope homogeneity test to ascertain the status of the dataset in undergoing first-generation or second-generation evaluation. Upon the confirmation of cross-sectional dependence and slope heterogeneity, second-generation unit rot tests such as CIPS and CADF are adopted to assess the stationarity status of the series. The empirical results of the tests support the utilization of quantile regression, augmented group mean (AMG), common correlation effect mean (CCEMG), and cross-sectional ARDL (CS-ARDL). Given the variability of the slope and the interconnectedness of the models, panel causality tests, as proposed by Dumitrescu and Hurlin (2012), must be employed. The outcomes from the estimated consumption and production models reveal that natural resources from coal and oil sources both deter environmental sustainability by positively driving an increase CO₂ emissions and ecological footprint. The effects of natural gas are divergent depending on the angle from which the impacts are evaluated. It was evident the production channel of natural gas deteriorates the environment by driving both pollutants whereas the consumption channel improves the environment by significantly mitigating both pollutants. The components of green policies comprising green technology, green finance, and green energy significantly moderate the surge in CO₂ emissions. The pertinent roles of environmental tax in moderating the surge in CO₂ emission are never without notice following the inverse relationship between environmental tax and the two environmental pollutants. It becomes clear that increasing carbon tax discourages further consumption of carbon-related products leading to eventual reduction in the overall carbon levels. Financial development proves substantial in supporting environmental sustainability with the mitigation of CO₂ emissions and ecological footprint in G20 countries. The empirical outcomes unveil the inducing effects of population and economic growth in escalating the surge in CO₂ emissions and ecological footprint. It should be noted that the feedbacks from CS-ARDL are largely supported by the outcomes from CCEMG and AMG.

The policy implications enlisted below are believed to be highly fundamental in supporting the sincere endeavors to tackle environmental concerns in the G20 countries.

1. The reduction of negative environmental impacts caused by coal and oil can be achieved in the G20 nations through the elimination of substantial subsidies for fossil fuels and the implementation of higher prices and taxes on products and services related to both indicators. By adopting these strategies, there will be a substantial decrease in the consumption of coal and oil and a greater encouragement towards adopting clean and eco-friendly energy sources.

The findings of the present study, while concentrating on the G20 economies, carry substantial global implications for both developed and developing nations. The issue of natural resources depletion, a significant contributor to the increasing global warming, is observable in countries around the world. The insights derived from this research serve as valuable reference points for nations globally to comprehend the differing impacts of each natural resources component. Furthermore, in light of the growing significance of green policies, this study has successfully enhanced the empirical understanding of each green component’s role in addressing the persistent rise in greenhouse gas (GHG) emissions. Notably, the statistical significance attributed to green energy further supports the notion that a transition to 100% renewable energy will mitigate the escalating GHG emission rates. Additionally, it is important to highlight the empirical evidence demonstrating the effectiveness and critical role of green finance in fostering environmental sustainability within the G20, which serves as a clear reference for broader global applications.

The current study primarily examines the ways in which natural resources influence environmental sustainability in G20 countries. However, it is important to acknowledge certain limitations. For example, while the analysis considers the effects of natural resources from both consumption and production perspectives, it is restricted to specific components, namely, coal, natural gas, and petroleum oil. The overall impact of natural resources as a whole is not addressed in this research. The empirical evidence presented in this study is confined to the G20 economies. While it is possible to generalize findings to other economies, conducting a replication of this research for those regions would be advantageous. For instance, intergovernmental organizations such as the G7, E7, and N11 could derive substantial benefits from studies of this kind. Moreover, this research does not encompass important policy indicators, such as institutional quality and various metrics related to environmental pollutants. Future investigations could gain from addressing these gaps.