The effects of COVID-19 on agriculture supply chain, food security, and environment: a review.

COVID-19 has a deep impact on the economic, environmental, and social life of the global population. Particularly, it disturbed the entire agriculture supply chain due to a shortage of labor, travel restrictions, and changes in demand during lockdowns. Consequently, the world population faced food insecurity due to a reduction in food production and booming food prices. Low-income households face food security challenges because of limited income generation during the pandemic. Thus, there is a need to understand comprehensive strategies to meet the complex challenges faced by the food industry and marginalized people in developing countries. This research is intended to review the agricultural supply chain, global food security, and environmental dynamics of COVID-19 by exploring the most significant literature in this domain. Due to lockdowns and reduced industrial production, positive environmental effects are achieved through improved air and water quality and reduced noise pollution globally. However, negative environmental effects emerged due to increasing medical waste, packaging waste, and plastic pollution due to disruptions in recycling operations. There is extensive literature on the effects of COVID-19 on the environment and food security. This study is an effort to review the existing literature to understand the net effects of the pandemic on the environment and food security. The literature suggested adopting innovative policies and strategies to protect the global food supply chain and achieve economic recovery with environmental sustainability. For instance, food productivity should be increased by using modern agriculture technologies to ensure food security. The government should provide food to vulnerable populations during the pandemic. Trade restrictions should be removed for food trade to improve international collaboration for food security. On the environmental side, the government should increase recycling plants during the pandemic to control waste and plastic pollution.

Fractal feature selection model for enhancing high-dimensional biological problems.

The integration of biology, computer science, and statistics has given rise to the interdisciplinary field of bioinformatics, which aims to decode biological intricacies. It produces extensive and diverse features, presenting an enormous challenge in classifying bioinformatic problems. Therefore, an intelligent bioinformatics classification system must select the most relevant features to enhance machine learning performance. This paper proposes a feature selection model based on the fractal concept to improve the performance of intelligent systems in classifying high-dimensional biological problems. The proposed fractal feature selection (FFS) model divides features into blocks, measures the similarity between blocks using root mean square error (RMSE), and determines the importance of features based on low RMSE. The proposed FFS is tested and evaluated over ten high-dimensional bioinformatics datasets. The experiment results showed that the model significantly improved machine learning accuracy. The average accuracy rate was 79% with full features in machine learning algorithms, while FFS delivered promising results with an accuracy rate of 94%.

Spatial effects of trade, foreign direct investment (FDI), and natural resource rents on carbon productivity in the GCC region.

Background: Natural resource rents (NRRs) may determine the environment and economic growth of the GCC countries due to their over-reliance on the natural resource sector. NRRs are the source of income in resource-abundant GCC countries. So, increasing income of these countries could pollute the environment by increasing overall economic activities. Consequently, NRRs could determine carbon productivity in the GCC region through increasing income and carbon emissions. Methods: The effects of trade openness (TO), foreign direct investment (FDI), urbanization, and oil and natural gas rents on carbon productivity (CP) are examined in the GCC region from 1980-2021 using the spatial Durbin model. Results: The CP of the GCC countries has spillovers in their neighboring countries. Oil rent reduces carbon productivity in domestic economies and the entire GCC region. Natural gas rent, TO, and FDI increase, and urbanization reduces carbon productivity in neighboring economies and the entire GCC region. Moreover, urbanization reduces carbon productivity in domestic economies as well. The study recommends the GCC countries to reduce reliance on oil rent and increase globalization in terms of TO and FDI in the region to promote carbon productivity. Moreover, GCC countries should also focus more on natural gas rent instead of oil rent to raise carbon productivity.

Harnessing digital solutions for sustainable development: a quantile-based framework for designing an SDG framework for green transition.

The paper investigates how financial technology might help countries promote renewable energy and reach the Sustainable Development Goals (SDGs). It is generally agreed that FinTech (financial technology) has the ability to help achieve the SDGs by 2030 and promote a sustainable society through technology-driven solutions. The financial sector has launched greener investment options in order to mobilize substantial financial resources towards climate neutrality in the coming decade. To achieve the Sustainable Development Goals and the goals set forth in the Paris Climate Agreement, however, this procedure must be accelerated. With the use of the innovative "quantile-on-quantile (QQ)" technique, this study uses the data of top FinTech economies for the period 1990-2020 and provides country-specific insights into the relationship between FinTech and renewable energy. Using quantile causality analysis, we may identify the direction of causality between these variables at the observed extremes. An extensive long-term relationship between FinTech and renewable energy was found in all countries. The leading FinTech economies show a positive association between the two at most quantiles, and a bidirectional causality relationship is seen across significant quantiles. This highlights the considerable yet variable impact FinTech policies have on renewable energy and vice versa in these innovative economies. These results highlight the connection between growing FinTech and promoting a green transition to further Sustainable Development Goals and provide useful insight for policy formulation.

Inquiring asymmetric effects of oil prices, money supply, and domestic debt on consumer prices: an empirical evidence from Pakistan.

Oil prices (OP) may play a significant role in determining inflation in any oil-importing economy and could have an asymmetrical effect as well. Thus, this paper aims to explore the asymmetric influence of OP, broad money supply (BMS), and domestic debt (DD) on the Consumer Price Index (CPI) in the oil-importing economy of Pakistan using the nonlinear autoregressive distributive lag (NARDL) methodology on an annual sample from 1980 to 2021. The long-run results show that increasing OP and BMS have a positive effect on CPI. Similarly, decreasing OP and BMS have a positive effect on CPI. So, increasing OP and BMS is raising price levels, and decreasing OP and BMS is reducing price levels. OP has a positive and symmetrical effect on CPI. However, the BMS has a positive but asymmetrical effect on CPI. Furthermore, the effect of decreasing BMS is found greater than increasing BMS. Moreover, the effect of DD on CPI is also found asymmetrical. The increasing DD has a positive effect, and decreasing DD has a negative effect on CPI. The most of short-run results follow the long-run results. However, energy usage shows a negative effect on CPI in the short run, which is insignificant in the long-run results. This study recommends controlling the money supply and oil prices to reduce consumer prices.

Reinvigorating the environmental Kuznets curve hypothesis in the context of highly polluted nations: evidence using advanced panel estimation techniques.

China, United States, India, Russia, and Japan are regarded as the top five carbon dioxide-emitting nations in the world. These countries altogether account for more than half of the global annual discharges of carbon dioxide. Consequently, impeding the carbon emission-led environmental adversities in these countries is of critical emphasis for establishing environmental sustainability worldwide. In this regard, this study checks how economic progress, energy use intensification, and renewable energy use affect the annual growth rates of per capita carbon dioxide emission in these highly-polluted economies considering the study period from 1990 to 2021. Besides, for analytical purposes, advanced panel data estimation techniques have been utilized for detecting and neutralizing the impacts of cross-sectional dependency and slope heterogeneity-related problems in the data. Overall, the findings endorse that economic progress deteriorates environmental quality both in the short and long run. However, since the long-run unfavorable environmental impacts of economic growth are relatively lower compared with the short-run impacts, the environmental Kuznets curve hypothesis can be deemed valid. Besides, more intensive use of energy resources is witnessed to impose negative long-run environmental consequences while the adoption of renewable energy instead of fossil fuels is found to improve environmental well-being, both in the short and long run. Furthermore, the results affirm that economic progress and energy use intensification jointly degrade environmental conditions. By contrast, economic progress alongside greater adoption of renewable energy is observed to inflict an environmental quality-improving effect. Considering these findings, a couple of carbon dioxide mitigating policies are suggested to the concerned highly polluted developed and developing nations.

Oil and natural gas rents and CO2 emissions nexus in MENA: spatial analysis.

Background: Oil rents (OR) and natural gas rents (NGR) have significant contributions to the income of the Middle East and North Africa (MENA) economies and may increase emissions. Moreover, spatial autocorrelation is expected in carbon dioxide (CO2) emissions due to the geographically closed economies in the MENA region. Thus, we examine the impact of OR and NGR on CO2 emissions caring spatial dimensions and analyze the environmental Kuznets curve (EKC). Methods: We apply the spatial Durbin model technique on the effects of OR, NGR, and economic growth on CO2 emissions in 17 MENA nations from 2000-2019, i.e., Algeria, Bahrain, Egypt, Iran, Iraq, Israel, Jordan, Kuwait, Libya, Morocco, Oman, Qatar, Saudi Arabia, Syria, Tunisia, the United Arab Emirates (UAE), and Yemen. Moreover, diagnostic tests are applied to reach the most appropriate spatial specification and to have the most robust results. Results: The results disclose that CO2 emissions have spillovers and emissions of any country can damage the environment of neighboring countries. The EKC is corroborated with a turning point of 38,698 constant 2015 US dollars. Israel and Qatar are in 2nd phase of the EKC, and 15 MENA economies are in 1st stage. Thus, the economic expansion of most economies has ecological concerns. The effect of natural gas rents is found statistically insignificant. Oil rents have minute negative effects on emissions of local economies with an elasticity coefficient of -0.2117. Nevertheless, these have a positive indirect effect with an elasticity coefficient of 0.5328. Thus, the net effect of oil rents is positive. One percent increase in oil rents could accelerate 0.3211% of emissions. Thus, we suggest the MENA countries reduce reliance on oil rents in their income to avoid the negative environmental effects of the oil sector.

Heterogeneity, sunk cost, and export performance: A firm level study of Pakistan's textile sector.

The textile sector is a significant exporting sector of Pakistan. This study examines the determinants of the export performance of Pakistani textile firms using firm-level panel data from 2008 to 2018. Under the framework of the dynamic System Generalized Method of Moment (SGMM) methodology, our findings suggest that both sunk costs and firm-specific characteristics like productivity, age, and size are important determinants of textile exports. Further, the study also observes that firms with a high number of export destinations and greater product diversification tend to export more. The year-specific dummies reveal that textile export performance is adversely affected by the energy crisis in 2012. We recommend that Pakistan should support large, experienced, and productive textile exporter firms to boost textile exports. Besides, more assistance should be provided regarding potential overseas markets to the existing and new export firms.

FDI, exports, imports, and consumption-based CO2 emissions in the MENA region: spatial analysis.

MENA region is full of natural resources and has a huge mineral sector in their economies. CO2 emissions are increasing global warming and foreign trade and investments can play their roles in determining CO2 emissions in the resource-rich MENA countries. Moreover, spatial linkages are expected in the emissions and trade relationship, which could catch less attention in the environmental literature of the MENA region. Thus, the present research is motivated to capture the contributions of exports, imports, and Foreign Direct Investments (FDI) in consumption-based CO2 (CBC) emissions in twelve MENA economies from 1995 to 2020 by applying Spatial Autoregressive (SAR) Model. Our results exhibit the existence of the Environmental Kuznets Curve (EKC). Moreover, the impact of exports is found negative in direct and total estimates. Thus, exports of the MENA region are reducing CBC emissions in the MENA region and transferring emissions to their importing partners. Moreover, the spillovers of exports are found positive and exports of one MENA country are also responsible for the transfer of CBC emissions to other MENA neighboring countries, which corroborates the trade linkages of the MENA region. Imports have a positive effect on CBC emissions in direct and total effects. This result confirms the fact of energy-intensive imports of the MENA region, which have environmental consequences in the domestic economies and the whole MENA region. FDI increases CBC emissions in direct and total estimates. This result substantiates the pollution Haven hypothesis in the MENA region and is in line with the fact that FDI is mostly coming in the mineral, construction, and chemical sectors. The study suggests that MENA countries should promote exports to reduce CBC emissions and to reduce energy-intensive imports in the region to save the environment from CBC emissions. Moreover, FDI should be attracted to the clean production process and environmental standards should be raised to avoid the environmental problems of FDI in the MENA region.

Repercussions of Hydroelectricity use on Carbon Emissions in Bangladesh: Evidence using Novel Fourier-Bootstrapped ARDL and Fourier-Gradual Shift Causality analyses.

Bangladesh has recently pledged at the 26th Conference of Parties (COP26) to reduce its carbon dioxide emission figures by 22% at the end of 2030. However, since this South Asian country has always turned to fossil fuels for electricity generation purposes, achieving this emission reduction goal is a challenging task for the Bangladesh government. Nevertheless, considering the negative environmental implications associated with the generation and consumption of unclean energy, particularly electricity, it is critically important for Bangladesh to expedite the process of clean transformation of its traditional pollution-intensive power system. Hence, the objective of this study is to dissect the repercussions of hydroelectricity use on Bangladesh's fossil fuel consumption-related carbon dioxide As opposed to the traditional method of quantifying environmental quality using total carbon dioxide emissions, this study considers Bangladesh's annual carbon dioxide emissions generated from the combustion of gas, oil, and coal. Besides, novel Fourier-based econometric methods that effectively handle structural break problems in data are utilized in this study. Based on the results, it is found that up-scaling hydroelectricity consumption levels exert emission-inhibiting effects while greater economic globalization activities are witnessed to boost the emissions. More importantly, hydroelectricity consumption and economic globalization are observed to jointly curb fossil fuel consumption-based emissions of carbon dioxide. Additionally, the results verify the environmental Kuznets curve hypothesis for Bangladesh. Furthermore, financial sector development is found to be effective in reducing the natural gas consumption-related carbon dioxide emissions while urbanization is held responsible for amplifying emissions generated from all three types of fossil fuels. Therefore, considering these findings, the Bangladesh government needs to particularly emphasize scaling up production and consumption of hydroelectricity to decarbonize its economy.

Drivers of green growth in the Kingdom of Saudi Arabia: can financial development promote environmentally sustainable economic growth?

The Kingdom of Saudi Arabia has recently declared its vision of turning carbon neutral by 2060. This declaration has motivated policymakers in this Arab nation to design policies that can green economic activities in Saudi Arabia so that environmentally sustainable growth can be ensured. Against this backdrop, this study models the independent and joint effects of financial development, globalization, and energy efficiency rates on green growth of the Saudi Arabian economy. In this regard, green growth in the Kingdom of Saudi Arabia is proxied by the difference between the nation's annual per capita growth rates of gross domestic product and carbon dioxide emission. Utilizing data from 1972 to 2018 and controlling for structural break-induced problems found in the data, the findings from the regression and causality analyses confirm the green growth-inhibiting impacts of financial development and trade globalization. In contrast, greater financial globalization is evidenced to drive green growth in the Kingdom of Saudi Arabia. Furthermore, more efficient uses of energy resources are found to not only directly boost green growth but also partially neutralize the long-run green growth-dampening impacts associated with the development of the financial sector. In addition, financial development and trade globalization are observed to jointly inhibit green growth attainment both in the short and long run. In line with these important findings, it is recommended that the government of Saudi Arabia conceptualizes new green growth policies so that the nation's annual per capita economic growth rate outpaces its annual per capita growth rate of carbon dioxide emissions.

Realizing the Sustainable Development Goals through technological innovation: juxtaposing the economic and environmental effects of financial development and energy use.

The BRICS comprise of group of emerging market economies which are committed to achieving the Sustainable Development Goals agenda of the United Nations by the end of the year 2030. In this regard, it is critically important for these nations to sustain their annual rise in their economic growth rates while simultaneously declining the rate of discharge of carbon dioxide emissions. Against this backdrop, this study aims to investigate how financial development, greater primary energy consumption, and technological innovation affect the prospects of the BRICS nations in achieving economic and environmental sustainability. Considering the period from 1990 to 2020 and utilizing methods that are robust to working with cross-sectionally dependent, heterogeneous, and endogenous panel data, the key analytical findings derived in this study reveal that higher levels of financial development, primary energy consumption, and technological innovation boost the per capita economic growth rates of the BRICS nations. Besides, technological innovation also moderates the financial development-economic growth and the primary energy consumption-economic growth nexuses by jointly boosting economic growth rates with these two macroeconomic variables. On the other hand, financial development and higher primary energy consumption are seen to boost the annual per capita carbon dioxide emission growth in these emerging nations, while technological innovation is observed to do the opposite. Furthermore, technological innovation is witnessed to moderate the nexus between energy use and economic growth to further reduce the emission growth rate in the BRICS nations. Accordingly, a set of policies are recommended to the concerned governments in order to enable the BRICS nations to attain the Sustainable Development Goals agenda.

Energy-growth hypothesis: testing non-linearity by considering production function approach for Spanish economy.

Targeting output growth is among one of the prime concerns of any economy in both the developing and developed world. Energy utilization and exports are important drivers that would help in boosting production activities in any economy. Therefore, beyond labor force and capital formation, exports and energy utilization can be among the important inputs for accelerating economic growth in any economy. This research is conducted to investigate the linear impact of exports and the non-linear effect of energy consumption on economic growth considering the production function approach in the Spanish economy. After considering the bounds test for a period from 1980 to 2019, the study provides evidence of the inverted-U-shaped effect of energy consumption on economic growth. The findings also expose that exports, labor force and capital formation significantly accelerate economic growth in Spain. These findings are consistent with the diagnostics applied in the study. This research proposes that energy consumption should not be increased beyond a certain threshold for reaping the positive fruits of economic growth. Beyond that cutoff, it will become harmful to economic growth. Policy advisors may consider exports to target economic growth in Spain as it helps in expanding production activities in the Spanish economy.

Trade, FDI, and CO2 emissions nexus in Latin America: the spatial analysis in testing the pollution haven and the EKC hypotheses.

Americas have a mix of developing and developed economies. Thus, the pollution haven hypothesis (PHH) is expected in the developing countries of Latin America. Using the spatial Durbin model, the present study investigates the effects of foreign direct investment (FDI), exports, and imports on emissions in 18 Latin American countries from 1970 to 2019, including economic growth and the financial market development (FMD) in the model. The environmental Kuznets curve (EKC) is validated, and the region is found in the first stage of the EKC. Hence, Latin American economic growth has environmental consequences. Exports have a positive impact on home and neighboring countries' CO2 emissions and pollute the whole region, which validates the PHH. Imports could not affect the home economies but have positive environmental effects on neighboring economies and the entire Latin American region. The negative coefficient of imports is larger than the positive coefficient of exports. Therefore, the net effect of trade is environmentally pleasant in Latin America. Moreover, FDI has a statistically insignificant effect and the impact of FMD is positive on CO2 emissions. The study recommends caring the exporting, financial, and economic activities for a sustainable environment in Latin America.

Gender equality, education, economic growth and religious tensions nexus in developing countries: A spatial analysis approach.

Gender inequality is a more pronounced phenomenon in developing countries, which may be rooted in poor governance, and inadequate social and religious institutions. Therefore, this research tests the effects of religious tensions, governance, economic growth, and education on gender equality in a panel of 59 developing countries from 1995-2015. Moreover, religious tensions may have spillovers in neighboring countries in this modern age of media and globalization. Therefore, we apply Spatial Durbin and Autoregressive models to consider spatial autocorrelation in the religious tensions model. We find that both gender equality and religious tensions have spillovers in neighboring countries. Moreover, reducing religious tensions and increasing economic growth promote gender equality and have positive spillovers in neighboring countries as well. Bureaucratic quality has a positive effect on gender equality in home countries and has insignificant spillovers on gender equality in the neighboring countries. However, education could not affect gender equality in developing countries.

Adopting net-zero in emerging economies.

In recent years, rapid reduction in natural resources alongside climate change has prompted industries to adopt sustainable operational practices. Globalization is arguably a boon for people and societies worldwide but has also led to significant disruptions to our natural ecosystem. Consequently, it has caused environmental concerns and issues around public health. The net-zero economy has recently emerged as a pivotal way to conserve the environment, mitigate health issues and address sustainable development goals (SDGs). The extant literature and relevant industrial reports have shown that automobiles significantly contribute to greenhouse gas emissions. Therefore, the current study is conducted to identify the critical success factors (CSFs) of net-zero adoption with respect to the automobile industry. The fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique is applied to establish a dyadic relationship (cause-effect) among the identified CSFs. The top three CSFs are found to be focus on research and development activities, International Collaborations and Strategic Planning and Effective Roadmap. Finally, this study provides theoretical and practical implications for relevant industries to implement net-zero effectively.

Nuclear energy transition and CO2 emissions nexus in 28 nuclear electricity-producing countries with different income levels.

Background: Nuclear energy carries the least environmental effects compared to fossil fuels and most other renewable energy sources. Therefore, nuclear energy transition (NET) would reduce pollution emissions. The present study investigates the role of the NET on CO2 emissions and tests the environmental Kuznets curve (EKC) in the 28 nuclear electricity-producing countries from 1996-2019. Methods: Along with a focus on the whole panel, countries are divided into three income groups using the World Bank classification, i.e., three Lower-Middle-Income (LMI), eight Upper-Middle-Income (UMI), and 17 High-Income (HI) countries. The cross-sectional dependence panel data estimation techniques are applied for the long and short run analyses. Results: In the long run, the EKC is corroborated in HI countries' panel with estimated positive and negative coefficients of economic growth and its square variable. The Netherlands, Sweden, Switzerland, and the USA are found in the 2nd stage of the EKC. However, the remaining HI economies are facing 1st phase of the EKC. Moreover, economic growth has a monotonic positive effect on CO2 emissions in LMI and UMI economies. NET reduces CO2 emissions in UMI and HI economies. On the other hand, NET has an insignificant effect on CO2 emissions in LMI economies. In the short run, the EKC is validated and NET has a negative effect on CO2 emissions in HI countries and the whole panel. However, NET could not affect CO2 emissions in LMI and UMI countries. Based on the long-run results, we recommend enhancing nuclear energy transition in UMI and HI economies to reduce CO2 emissions. In addition, the rest of the world should also build capacity for the nuclear energy transition to save the world from global warming.

An analysis of the environmental impacts of ethnic diversity, financial development, economic growth, urbanization, and energy consumption: fresh evidence from less-developed countries.

Improving the quality of environmental indicators has become a global concern that necessitates the identification of possible channels through which environmental welfare can be enhanced worldwide. Against this backdrop, this current study aims to elucidate the environmental effects of ethnic diversity, controlling for financial development, urbanization, economic growth, and energy consumption in the context of 51 less-developed countries during the period from 1996 to 2016. For measuring the environmental impacts, we use both the ecological footprint and carbon dioxide emission figures of these countries. Overall, the cointegration analysis confirms the existence of long-run relationships among the study variables. Besides, the regression analysis reveals that ethnic diversity deteriorates environmental quality by surging the ecological footprint and carbon dioxide emission levels of the selected nations. Similarly, financial development and energy consumption are found to impose identical adversities on the environment while urbanization is evidenced to ensure environmental welfare. Lastly, for both the environmental indicators considered in this study, the environmental Kuznets curve hypothesis is verified from the findings. Hence, considering these key outcomes, a set of relevant environmental welfare-related policy interventions are recommended in the context of less-developed countries.

The marginal effects of economic growth, financial development, and low-carbon energy use on carbon footprints in Oman: fresh evidence from autoregressive distributed lag model analysis.

Oman is committed to turning carbon neutral by 2040 whereby identifying the environmental sustainability-stimulating factors has become a critically important agenda for the nation. Against this backdrop, this study attempts to evaluate the marginal effects of economic growth, financial development, and low-carbon energy use on Oman's carbon footprint levels using quarterly frequency data spanning from 1984Q1 to 2018Q4. Controlling for structural break concerns in the data, the results from the empirical analysis verify the carbon footprint-related environmental Kuznets curve hypothesis for Oman in the long-run. In this regard, the threshold level of per capita real GDP level of Oman is predicted at around US $23,500 which is below the average and maximum per capita real GDP level of Oman during the period considered in this study. Besides, the development of the financial sector and scaling up consumption of low-carbon energy resources are evidenced to boost and curb Oman's short- and long-run carbon footprint figures, respectively. More importantly, the joint carbon footprint-mitigating impact of financial development and low-carbon energy use is also unearthed from the findings. In line with these major findings, a couple of relevant policy interventions are suggested to help Oman accomplish its 2040 carbon-neutrality agenda.

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.