Post-COP26: can energy consumption, resource dependence, and trade openness promote carbon neutrality? Homogeneous and heterogeneous analyses for G20 countries

Mitigating environmental pollution in China: Unlocking the potential for high-quality innovation

The nexus between environmental pollution (EP) and technological innovation is crucial for achieving sustainable development. However, existing literature has paid less attention to the new form of high-quality innovation (HI) in environmental management. This paper uses panel data from 31 Chinese provinces from 2008 to 2020, employing the two-stage least squares method to investigate the relationship between HI and EP. The empirical results reveal that HI can effectively reduce the EP, which holds after multiple robustness tests, and this effect is more obvious in southern China. Meanwhile, HI drives clean and efficient energy transition and decreases EP. Moreover, increased environmental regulation weakens the influence of HI on EP. The major contributions of this study are constructing an HI index including innovation, human capital, and government support and examining its influence on EP in China. The findings encourage government to implement policies of innovation-driven transformation, energy conservation and emissions reduction.

Revisiting the EKC framework concerning COP-28 carbon neutrality management: Evidence from Top-5 carbon embittering countries

In the aftermath of the 28th Conference of the Parties (CoP) climate summit in the UAE, the majority of developing countries encounter challenges in attaining their objectives of carbon neutrality for a sustainable economy. The association of economic factors such as economic growth, governance structures, forest area, renewable energy consumption, technological innovation, and urbanization with environmental elements (carbon footprint) is vital for sustainable economic development and environmental management strategies. Therefore, this research reveals this association in five selected high-emitting countries spanning from 1990 to 2022. This research utilizes the Environmental Kuznets Curve (EKC) framework to investigate the interrelationship between these variables. To do so, this study employs the cross-sectional autoregressive distributed lags (CS-ARDL) statistical technique to determine the short- and long-term impacts of the variables under investigation on carbon footprint. In contrast, the mean group (MG) and common correlated effect mean group (CCEMG) have been applied for robustness. The findings revealed that GDP, urbanization, and forest area have positive associations with carbon footprints, whereas GDP square, renewable energy consumption, technological innovation, and governance effectiveness have inverse relationships with carbon footprints. These findings provide all stakeholders with valuable policy recommendations and management advice for accelerating the transition of renewable energy to low-carbon and green growth.

Comprehensive review on recent trends and perspectives of natural exo-polysaccharides: Pioneering nano-biotechnological tools

Exopolysaccharides (EPSs), originating from various microbes, and mushrooms, excel in their conventional role in bioremediation to showcase diverse applications emphasizing nanobiotechnology including nano-drug carriers, nano-excipients, medication and/or cell encapsulation, gene delivery, tissue engineering, diagnostics, and associated treatments. Acknowledged for contributions to adsorption, nutrition, and biomedicine, EPSs are emerging as appealing alternatives to traditional polymers, for biodegradability and biocompatibility. This article shifts away from the conventional utility to delve deeply into the expansive landscape of EPS applications, particularly highlighting their integration into cutting-edge nanobiotechnological methods. Exploring EPS synthesis, extraction, composition, and properties, the discussion emphasizes their structural diversity with molecular weight and heteropolymer compositions. Their role as raw materials for value-added products takes center stage, with critical insights into recent applications in nanobiotechnology. The multifaceted potential, biological relevance, and commercial applicability of EPSs in contemporary research and industry align with the nanotechnological advancements coupled with biotechnological nano-cleansing agents are highlighted. EPS-based nanostructures for biological applications have a bright future ahead of them. Providing crucial information for present and future practices, this review sheds light on how eco-friendly EPSs derived from microbial biomass of terrestrial and aquatic environments can be used to better understand contemporary nanobiotechnology for the benefit of society.

The prospect of green hydrogen in Saudi Arabia: an overview of theoretical and empirical approach

Saudi Arabia is in a great position to create low-cost green hydrogen to diversify the economy and assist other nations in meeting carbon emission reduction targets due to the abundance of renewable energy sources, including solar and wind. The country may achieve this by becoming a leader in green hydrogen exports. The current research explores the prospects of green hydrogen production in the Saudi Arabia to demonstrate the current stage of hydrogen production in these countries. Previous studies checked renewable energy and carbon emissions nexus; however, in this study, hydrogen-based energy indicators are used for the first time. Also, contrary to the secondary data, forecasted data is used in this study. Through autoregressive distributive lag model is applied on Saudi Arabian data from 2020 to 2050. Results show that blue natural gas is significantly and positively related to carbon emission in the long run. Also, the relationship between green renewable energy and carbon emission is significant and negative and long and short run.

Synthesizing the role of urbanization and oil prices in achieving carbon neutrality in Africa: do financial crisis and renewable energy play a role?

Higher oil prices can incentivize urban planners to adopt energy-saving behaviors, such as using public transportation or investing in energy-efficient appliances, which can help achieve carbon neutrality. Notwithstanding this, empirical studies ignored the role played by oil prices in the urbanization-carbon emissions nexus. Therefore, this study aims to examine the moderating role of oil prices on the urbanization-CO2 emission relationship, along with renewable energy consumption and the global financial crisis. Using Driscoll-Kraay and IV-GMM techniques on panel data from 35 African countries, the results confirmed an inverted U-shaped relationship between urbanization and CO2 emissions in Africa, which is consistent with the ecological modernization theory. The results also show that oil prices, financial crisis, and renewable energy contribute to reducing carbon emissions, while the EKC hypothesis curve between GDP and CO2 emissions is validated. Additionally, urbanization has a favorable oil price effect on carbon emissions in Africa. The heterogeneity analysis validates the EKC curve between urbanization and CO2 emissions in low- and high-emission countries, while oil prices and financial crisis mitigate CO2 emissions only in low-emission countries. Further, oil prices moderate urbanization to reduce carbon emissions in low- and high-emission countries. The findings also indicated that renewable energy mitigates carbon emissions and that the inverted U-shape is confirmed in low- and high-emission countries. These results suggest that policymakers should put more effort into the adoption of renewable energy and the use of energy-saving technologies in urban development to achieve carbon neutrality.

Neutralizing the surging emissions amidst natural resource dependence, eco-innovation, and green energy in G7 countries: Insights for global environmental sustainability

The unrelenting surge in global warming in the current era suggests the inevitable need for governments across the globe to embark on policy measures that will help flatten the curve of the surging emissions. Consequently, the concept of carbon neutrality has become a vital policy approach for countries to achieve sustainable development. The present study extends the debates on carbon neutrality by examining the extent to which prominent factors such as natural resource dependence, eco-innovation, and green energy (biofuel and renewable energy) facilitate or hinder strides toward achieving carbon neutral environment in G7 economies. The study considers the additional roles of carbon tax, environmental policy stringency, and financial development in longitudinal data ranging from 1997 to 2019. The verification of the stated hypotheses hinges on a battery of estimators comprising cross-sectional ARDL, common correlated effects mean group, augmented mean group, and panel quantile regression. The empirical findings show that green energy, carbon tax, and environmental policy support the drive towards carbon neutrality by reducing the stock of CO2 emissions. On the other hand, natural resource dependence and financial development hinder the carbon neutrality agenda by escalating the surge in CO2 emissions. Robustness analyses are conducted from the angle of an additional outcome variable and estimation technique of which the results corroborate the empirical regularity of the main findings. Policy implications are derived from the empirical findings.

Environmental sustainability through aggregate demand and knowledge economy interaction-a case of very high-HDI countries

The magnitude of the economic activities is immense in very high-Human Development Index (HDI) countries, leading to environmental degradation, a crucial problem. This study is aimed at testing aggregate demand's role in the environmental Kuznets curve (EKC) perspective and explores the role of four pillars of the knowledge economy, viz., technology, innovations, education, and institutions, as proposed by World Bank, in maintaining sustainable development of environmental quality in these countries. The analysis covers the period ranging from 1995 to 2022. The departure of normality of the variables provides a solid base for panel quantile regression (PQR). Unlike ordinary least squares (OLS) regression, which estimates the conditional mean of the dependent variable, PQR estimates the conditional quantiles. The estimated results using PQR confirm both U and inverted U-shaped aggregate demand-based EKC. In fact, these knowledge pillars in the model determine the shape of EKC. Results also reveal that two knowledge pillars, i.e., technology and innovations, are responsible for significantly reducing carbon emissions. In comparison, education and institutions are responsible for expanding carbon emissions. As a moderator, all knowledge pillars except institutions are shifting the EKC downward. The key lessons from these findings are that technology and innovation can reduce carbon emissions, while education and institutions may have a mixed impact. The relationship between knowledge pillars and emissions may be moderated by other factors, underscoring the need for further research. Moreover, urbanization, energy intensity, financial development, and trade openness significantly contribute to environmental deterioration.

Empirical analysis into the nexus between energy consumption, economic growth, and natural resources in D-8 bloc: evidence from panel causality analysis

THe importance of the impact of natural resources on economic growth is an important issue with a long history in the energy and environment literature. It is seen that the studies conducted in this field are generally shaped by the "resource curse hypothesis," a hypothesis that highlights the trade-off between economic growth and resource abundance in the growth literature. However, the extant literature have presented inconclusive results. This study aims to examine the direction of causality between capital, energy use, energy imports, exchange rate, natural resources, and per capita income in countries that are rich in natural resources and consist of developing countries (D-8). In this context, first of all, the existence of CD test was determined, and then the stationarity of the variables was determined with the CADF unit root test. Then, whether the slope coefficients of the variables were homogeneous or not, it was decided that they were heterogeneous. Finally, the direction of causality between the variables was examined with the Dumitrescu-Hurlin panel causality test applied to heterogeneous panels. The empirical analysis results show a unidirectional causal relationship from capital to GDP per capita and from GDP per capita to energy use. In addition, while a two-way causality relationship was determined between the exchange rate and GDP per capita, no causal relationship was found between energy imports, natural resources, and per capita income. These results have macroeconomic implications and spillover effects on the energy mix of D-8 economies. In addition, no causal relationship was found between natural resources and GDP per capita in this country group and within the scope of the analysis period. Policy recommendations are highlighted in the conclusion.

On energy transition-led sustainable environment in COP26 era: policy implications from tourism, transportation services, and technological innovations for Gulf countries

The present generation is witnessing the most devastating effects of global warming far beyond what was evident in the pre-industrial era. To forestall further ecosystem destruction, nations are working assiduously toward achieving sustainable global environment in decades to come, specifically by 2050. This ambitious goal prompts the convergence of countries in the last climate conference tagged COP26 which provides the roadmap to global sustainability. The resolutions of COP26 motivate the present study to assess the energy transition-led sustainable environment in Gulf countries, considering tourism, transport services, and technological innovation. The study employs annual data from 2005 to 2019 by relying on advanced second-generation estimators comprising cross-sectional ARDL (CS-ARDL), common correlated effects mean group (CCEMG), and augmented mean group (AMG). The study conducts robustness checks using quantile regression (QR) and quantile plots (QP). The results reveal that nonrenewable energy, tourism, and transport services hinder sustainable environment due to their inducing impacts on carbon emissions. Renewable energy and technological innovations promote sustainable environment by moderating the surge in carbon emissions. The QR results reveal that the regressors' effects are not one-off. For instance, the moderating effects of renewable energy correspond to increasing levels of the quantiles. In contrast, nonrenewable energy posits the opposite, thus confirming the energy transition-led sustainable environment hypothesis in the Gulf countries. Policy implications that drive sustainable environment are suggested based on the findings.

Are the impacts of renewable energy use on load capacity factors homogeneous for developed and developing nations? Evidence from the G7 and E7 nations

Both developed and underdeveloped economies worldwide are now more concerned than ever in respect of achieving environmental sustainability. Accordingly, the majority of the global economies have ratified several environment-related pacts to facilitate the tackling of global environment-related problems. Although these problems are assumed to be addressed using diverse mechanisms, limiting the use of fossil fuels has often been recognized as the ultimate enabler of environmental sustainability. Against this backdrop, this study aims to assess the environmental impacts associated with higher renewable energy use, controlling for economic growth and population size, in the context of the G7 and E7 countries using data from 1997 to 2018. Moreover, instead of using the traditional environmental quality proxies, this study tries to proxy environmental degradation with the load capacity factor levels of the countries of concern. The long-run associations among the study's variables are confirmed by outcomes generated from the cointegration analysis. Besides, regression analysis highlighted that integrating renewable energy into the energy systems while withdrawing from the use of fossil fuels can help to improve environmental quality by increasing the load capacity factor levels. In contrast, economic growth and population size expansion are evidenced to impose environmental quality-dampening impacts by reducing the load capacity factor levels. However, the findings, in the majority of the cases, are seen to differ across the groups of the G7 and E7 countries, especially in terms of the variations in the magnitudes of marginal environmental effects over the short and long run. Lastly, the causality analysis confirms the directions of the causal relationships among the variables of concern. Based on these results, a couple of policy interventions are recommended for improving environmental quality in the G7 and E7 countries.

Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?

In the context of environmental sustainability and accelerated digital technology development, China attaches great importance to the prominent role of digital economy in addressing environmental degradation. Utilizing Chinese provincial panel data from 2011 to 2019, this study investigates whether the digital economy can improve China's environmental sustainability proxy by reducing carbon emission intensity. Based on the fixed effects model, the findings reveal that the digital economy has a significant negative effect on carbon emission intensity and the conclusion remains robust after conducting several robustness checks. However, this impact shows regional heterogeneity, which is more effective in resource-based eastern regions and the Belt and Road provinces. Moreover, mediating effect analyses indicate that the transmission mechanisms are energy consumption structure, total factor energy productivity, and green technology innovation. Furthermore, the results based on the spatial Durbin model (SDM) demonstrate that digital economy development has a significant spatial spillover effect. Finally, on the basis of results analysis and discussion, policy recommendations are provided for achieving environmental sustainability.