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Over the last few decades, economic policy uncertainty (EPU) has surged across the globe. Furthermore, EPU affects economic activities, which may also generate strong CO 2 emissions. The goal of this study is to explore the impact of EPU (measured by the world uncertainty index) on CO 2 emissions in the case of the top ten carbon emitter countries, spanning the period 1990 to 2015. The findings from the PMG-ARDL modelling approach document that the world uncertainty index (WUI) affects CO 2 emissions in both the short and the long run. In the short run, a 1% increase in WUI mitigates CO 2 emissions by 0.11%, while a 1% rise in WUI escalates CO 2 emissions by 0.12% in the long run. The findings could have some substantial practical effects on economic policies through which policy makers try to shrink any uncertainty by organizing and participating in international summits and treaties. In addition, international organizations could also launch certain programs to shrink uncertainties associated with economic policy. Finally, these countries should introduce innovation, renewable energy, and enforce alternative technologies that are environment friendly. Overall, governments must provide strong tax exemptions on the use of clean energy, while R&D budgets should also expand.

Economic policy uncertainty generally tends to induce a pessimistic view of future market behaviour. Furthermore, instabilities in global oil prices have serious implications for the economies of oil exporters and importers, due to their over-dependence on crude oil for revenue and production activities, respectively, and thereby on stock market indices. Against limited empirical evidence, this study examines the spillover effects from global economic policy uncertainty (GEPU) and oil price volatility to the volatility of the stock market indices of oil exporters and importers in both developed and emerging economies. The results show that the spillover effect from GEPU to oil exporters is relatively smaller than to oil importers, for both developed and emerging countries. Conversely, the volatility spillovers from oil prices to oil exporters are relatively larger than to oil importers, for both developed and emerging countries. Specifically, the volatility spillovers from oil prices to oil exporters (importers) in emerging countries are relatively stronger compared to oil exporters (importers) in developed countries. The findings indicate that the volatility of the stock markets of emerging countries is more sensitive to global factors such as GEPU and oil price volatility, and that oil exporters and importers in emerging economies are more sensitive to oil price volatility than oil exporters and importers in developed economies, which is in line with previous studies .

In recent times, economic policy uncertainty (EPU) and geopolitical risk (GPR) are increasing significantly where the economy and environment are affected by these factors. Therefore, the goal of this paper is to investigate whether EPU and GPR impede CO 2 emissions in BRICST countries. We employ second-generation panel data methods, AMG and CCEMG estimator, and panel quantile regression model. The conclusions document that most of the variables are integrated at I (1), and there exists co-integration among considered variables of the study. Moreover, we note that EPU and GPR have a heterogeneous effect on CO 2 emissions across different quantiles. EPU adversely affects CO 2 emissions at lower and middle quantiles, while it surges the CO 2 emissions at higher quantiles. On the contrary, geopolitical risk surges CO 2 emissions at lower quartiles, and it plunges CO 2 emissions at middle and higher quantiles. Furthermore, GDP per capita, renewable energy, non-renewable energy, and urbanization also have a heterogeneous impact on CO 2 emissions in the conditional distribution of CO 2 emissions. Based on the results, we discuss the policy direction.

Understanding the aspects of renewable energy consumption is important because it contains low-carbon emissions, which could significantly reduce global greenhouse gas emissions. Little research is done on exploring the factors of renewable energy consumption. The primary objective of this study is to examine the impact of the green environmental policy on renewable energy consumption in the BRICST economies over data ranging from 1991 and 2019 by using panel quantile regression. The fixed-effects and quantile regressions confirm the positive effects of economic growth and non-renewable energy on renewable energy consumption. In contrast, the consumer price index and CO 2 hurt the renewable energy consumption in the BRICST economies. The estimate of the environmental policy stringency appears to be negative and insignificant in the fixed-effects model. On the other side, the estimates of the environmental stringency index appear to be positively significant from the 10th-40th quantiles and negatively significant from 50th-90th quantiles. Robust policy implications of our outcomes are also discussed.

High levels of CO 2 emissions are extensively cited as one of the main global concerns nowadays. Therefore, researchers have been investigating the factors that affect CO 2 emissions. In the prior literature, several social, economic, and political drivers of CO 2 emissions have been investigated; however, there is a dearth of the literature on the impact of geopolitical risks (GPR) on CO 2 emissions. Hence, the objective of this study is to explore the impact of GPR on CO 2 emissions in the case of the BRICS countries while controlling the effects of population, GDP, non-renewable energy, and renewable energy consumption. The study uses the recently developed GPR index, proposed by Caldara and Iacoviello ( 2018 ), and the AMG (augmented mean group) estimator method. The findings document that GPR escalates CO 2 emissions. That is, a 1% increase in GPR escalates CO 2 emissions by 13%. Moreover, it also reports that renewable energy consumption impedes CO 2 emissions. In contrast, GDP, population, and non-renewable energy consumption surge CO 2 emissions. The study also proposes a few policy implications based on the findings: (1) policymakers and government officials should try to limit GPR through peace treaties, agreements, and negotiations; (2) share of renewable energy in total energy consumption should be increased in order to plunge CO 2 emissions.

Environmental concerns have become one of the top inevitable issues the world has been facing nowadays. Human-induced carbon emissions are the main reasons behind these environmental issues and to reduce them and mitigate their consequences, policymakers globally explore their drivers and determinants continuously. Although several socio-economic factors have been explored that affect the level of emissions, relatively less attention has been paid to geopolitical risk (GPR). Over the past few decades, the world has witnessed a significant rise in GPR with economic and environmental impacts. However, the existing body of literature on the GPR-environment nexus documents the contrasting conclusion, which might cause inconvenience while proposing environmental protection policies. Therefore, the present study reinvestigates the impact of GPR on carbon emissions at the global level. The findings document that, in the short run, a 1% rise in GPR impedes emissions by 3.50% globally. On the contrary, a 13.24% rise in emissions is fostered by a 1% increase in GPR in the long run. Also as was expected, we report that energy consumption leads to higher global emissions in both the short and long run. Next, this study also validates the existence of the environmental Kuznets curve (EKC) hypothesis at the global level. Based on these aforementioned outcomes, we propose several policy recommendations to curb global carbon emissions via GPR accomplish, thus, a few sustainable development goals.

Considering that the rigor of economic activities has widely been linked with the turbulent nature of the increasing global atmospheric and environmental hazards thus hampering environmental sustainability, it then presented a suggestive dilemma realizing that increasing unemployment, i.e., de-economizing human activities posit a desirable environmental quality effect. Given this backdrop, and employing the more recent estimation techniques, the current study probes the validity of the novel environmental Phillips curve (i.e., negative relationship between unemployment and environmental degradation) opined by Kashem and Rahman (Environ Sci Pollut Res 1–18, 2020). In this case, the panel of BRICST (Brazil, Russia, India, China, South Africa, and Turkey) economies for the selected data set over the experimental period 1992-2016 is analyzed. After using related approaches that are designed to account for probable country-specific factors, i.e., the cross-sectional dependence concern, the findings from the PMG-ARDL model affirmed the validity of the environmental Phillips curve for the BRICST countries. Thus, there is a significant trade-off between unemployment and environmental degradation. Moreover, this study concludes that renewable energy consumption improves the environmental quality, while conventional energy sources remained detrimental factors to environmental quality in the panel of the examined countries. Therefore, the study identified that the share of renewable energy in the energy mix should be escalated to improve environmental quality and maintain or improve the employment level, thus advancing the sustainable development goals (SDGs) of the BRICST countries.

Since the turn of twenty first century, economic policy uncertainty (EPU) and geopolitical risk (GPR) have escalated across the globe. These two factors have both economic and environmental impacts. However, there exists dearth of literature that expounds the impact of EPU and GPR on environmental degradation. This study, therefore, probes the impact of EPU and GPR on ecological footprint (proxy for environmental degradation) in selected emerging economies. Cross-sectional dependence test, slope heterogeneity test, Westerlund co-integration test, fully modified least ordinary least square estimator, dynamic OLS estimator, and augmented mean group estimator are employed to conduct the robust analyses. The findings reveal that EPU and non-renewable energy consumption escalate ecological footprint, whereas GPR and renewable energy plunge ecological footprint. In addition, findings from the causality test reveal both uni-directional and bi-directional causality between a few variables. Based on the findings, we deduce several policy implications to accomplish the sustainable development goals in emerging economies.

This study was planned to investigate the effect of replacing milk fat with aloe vera gel addition on yogurt quality. Purposely, yogurt was prepared with different concentration of aloe vera gel and coded as AGY0, = Control (3.5% fat and no AG), AGY1 = (1% fat and 1% AG), AGY2 = (1% fat and 2% AG), AGY3 = (1% fat and 3% AG), AGY4 = (2% fat and 1% AG), AGY5 = (2% fat and 2% AG), and AGY6 = (2% fat and 3% AG). Aloe vera gel yogurt was analyzed for physicochemical, microbial, and sensory characteristics with defined interval (0, 7th, 14th, and 21st) days. All attributes of the yogurt were significantly (0.05) affected by the addition of aloe vera gel. Results showed that the pH (4.6–4.05), viscosity (46.4–4.3), WHC (32.8%–26.1%), fat (0.9%–3.48%), protein (3.14%–3.36%), lactose (4.07%–4.23%), ash (0.48%–0.63%), total solids (11.08%–17.18%), SNF (7.69‐l5.21%), and TPC (2.36 × 107 to 1.02 × 107 CFU/ml) values of yogurt samples decreased with storage time. However, acidity and syneresis of yogurt increased with the passage of time ranging from 1.12%–1.67% and 0.9–5 ml, respectively. In conclusion, aloe vera improved the texture of the yogurt which leads to higher consumer acceptability. Addition of 3% aloe vera to 1% fat (AGY3) containing buffalo milk yogurt was found to best for physicochemical as well as organoleptic characteristics as well as organoleptic characteristics. The current research is helpful in broaden the spectrum of aloe vera gel application for the development of fermented product. Aloe vera gel is useful to improve the physicochemical and organoleptic attributes of the yogurt. The experimental work is scientific basis for the stakeholders to utilize for product development at commercial level. The study has wide application for the development of various functional foods.

It is well known that unemployment and environmental degradation are two critical issues across the globe. However, there is an extended dearth of literature that explores the nexus between unemployment and environmental degradation. Kashem and Rahman (Environ. Sci. Pollut. Res. 27(101): 31153–31170, 2020) put forward the Environmental Phillips Curve (EPC) hypothesis, which depicts a negative relationship between unemployment and environmental degradation. This study further explores the validity of the EPC hypothesis in the case of the USA. It also investigates the impact of monetary policy uncertainty (MU), fiscal policy uncertainty (FU), and trade policy uncertainty (TU) on carbon dioxide emissions. To this end, the analysis employs the novel methodology of the dynamic ARDL model. The results document that EPC does not hold in the short run, but it does in the long run. Furthermore, both in the short and long run, MU escalates CO 2 emissions, while FU plunges emissions in both the short and long run. Finally, TU does not alter the level of CO 2 emissions.