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Women's autonomy remains under pressure from male dominancy in corporate business and household affairs. Women possess natural, analytical, social, political, and economic autonomy that acknowledges the United Nations' sustainable development goals (SDG-5) to empower women and girls in inclusive business. The study analyzes different aspects of women's autonomy in corporate business and the natural environment, leading to sustainable business outcomes in China between 1975 and 2019. In practice, Chinese women's political power in the decision-making process is minimal. It needs to restructure its socio-political autonomy to move toward the SDG-5 agenda. The results show that women have the political wisdom to handle corporate sustainability affairs, manage matters of corporate environmental responsibility, and increase their participation in the workforce, enabling them to sustain their lives as knowledge workers. Corporate women hold more stewardship values than men, enabling them to handle corporate sustainability matters. [ABSTRACT FROM AUTHOR]

Background: Logistics operations are considered essential for transporting commodities from one location to another, helping to promote global economic activity. On the other hand, its negative impact eclipses its positive impact, namely the rise in healthcare expenditures due to its ecological footprint. Globally, rising out-of-pocket health expenses result from logistic-induced carbon emissions, posing a danger to the long-term viability of healthcare. Methods: Based on this critical fact, this study examined the impact of logistics operations on healthcare costs by controlling for carbon emissions, fuel imports, and economic development across a large cross-section of 131 nations by using the Robust Least Squares Regression. Results: The findings demonstrate a U-shaped association between logistical operations and healthcare expenditures, i.e., if there is a 1% increase in logistics operations, healthcare expenditures decrease by 2.421% initially, while at later stages, healthcare costs would increase by 0.139%. On the other hand, increased fuel imports and economic growth due to logistics activities are increasing healthcare expenditures with an elasticity estimate of 0.087% and 0.147%, respectively. According to the forecasting predictions, logistics-induced carbon emissions, fuel imports, and economic expansion will increase healthcare expenses. Conclusions: A sustainable logistics operation is critical for strengthening healthcare infrastructure and meeting the global carbon neutrality goal. [ABSTRACT FROM AUTHOR]

The study's objective is to examine the relationship between COVID-19 cases, environmental sustainability ratings, and mineral resource rents in a large cross section of 97 countries. The emergence of novel coronavirus 2019 (COVID-19) enlarges its magnitude across the international borders and damages social, economic, and environmental infrastructure with a high rate of human death tolls. The mineral resources are also devastated, which served as a primary raw input into the production system. The adverse effects of the COVID-19 pandemic on the environment and mineral resources are studied in a large panel of countries and found that mineral resource rents and population growth improve environmental sustainability rating (ESR). In contrast, an increase in coronavirus cases decreases the rating scale across countries. Further, mineral resources first decrease along with increased COVID-19 cases due to strict government policies, including the mandatory shutdown of economic institutions. Further, mineral resource rents increase later because of resuming economic activities in many parts of the world. The high rate of population growth is another important factor that negatively affects mineral resources across countries. Through impulse response and variance decomposition estimates, an exacerbated coronavirus cases and population growth would likely negatively affect ESR and mineral resources. In contrast, COVID-19 recovered cases will likely play a more significant role in securing mineral resources over time. Therefore, the global mineral resource conservation policies and improving ESR are highly needed during the COVID-19 to keep the significant economic gains in unprecedented times. [ABSTRACT FROM AUTHOR]

This study applied a panel data of 37 African countries in examining the impact of trade openness and foreign direct investment on sustainable agriculture towards the attainment of the United Nation (UN) Sustainable Development Goals (SDGs), especially, SDG-2, with the aim of ending extreme hunger, achieve food security and improve nutrition and promote sustainable agriculture. Data for the study was sourced from the Country Policy and Institutional Assessment (CPIA) and World Development Indicators (WDI) of the World Bank, for the period 2005 - 2019. To control for endogeneity, the study engaged the system Generalised Method of Moments (GMM). The result shows that FDI and trade openness have significant negative impact on agricultural sustainability in Africa. This result implies that, increase in FDI may decrease agricultural sustainability by 0.00294%, while increase in trade openness may lower agricultural sustainability by 0.430066 %. Therefore, the study concludes that while trade openness is negative, policy to raise local production towards export promotion should be encouraged. In addition, FDI should be encouraged to augment local employment and investment towards increasing output and productivity in the Africa region. [ABSTRACT FROM AUTHOR]

The study's objective is to evaluate the impact of environmental sustainability rating, financial development, changes in the price level and carbon damages on the new COVID-19 cases in a cross-sectional panel of 17 countries. The study developed two broad models to analyse the relationship between the stated factors at the current level and forecast level. The results show that improvement in the environmental sustainability rating and financial efficiency reduces the COVID-19 cases, while continued economic growth and changes in price level likely to exacerbate the COVID-19 cases across countries. The forecast results suggest the U-shaped relationship between COVID-19 cases and carbon damages controlling financial development, price level and environmental sustainability rating. The variance decomposition analysis shows that carbon damages, environmental sustainability rating and price level changes will largely influence COVID-19 cases over the next year. The soundness of economic and ecological regulated policies would be helpful to contain coronavirus cases globally. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Covering 3168 annual observations of 132 countries for 1995-2018, the study investigated the role of knowledge spillover (KNOW), renewable energy (RE) demand, and food production (FP) in mitigation of CO2 emissions to achieve global environmental sustainability (ES) agenda. The study used Arellano-Bond (A-R) differenced GMM estimator to handle endogeneity and serial correlation issues for robust inferences. The results confirmed the hump-shaped relationship between KNOW and CO2 emissions to support 'Knowledge Kuznets curve (KKC)' across countries. The results further reveal that FDI inflows and trade openness (TOP) both increases CO2 emissions that substantiate the 'pollution haven hypothesis (PHH)'. The positive relationship between FP and CO2 emissions exhibits 'food footprints (FFP)' across countries. The negative relationship between RE demand and CO2 emissions imply that increased use of RE helps to reduce emissions, which is a positive sign to precede towards cleaner production technologies for achieving global ES agenda. [ABSTRACT FROM AUTHOR]

The Paris agreement (COP21) emphasized the need to progress toward using low-carbon energy technologies, including nuclear power, that is favorably looked for to meet the challenges to reduce an enormous increase in global temperature to below 2 °C. The cost of carbon pollution is highly induced by the energy sector that damages the global environmental sustainability plan. The alternative and nuclear energy demand is an optimized solution to decrease carbon damages, which can be better work under the imposition of carbon taxes on polluting industries. This study works in a given direction to analyze the role of alternative and nuclear energy, carbon pricing, FDI inflows, fossil fuel combustion, economic growth, and population density on the cost of carbon pollution in a panel of 90 selected countries for a period of 1995–2018. The results confirmed a "nuclear energy-augmented environmental Kuznets curve" with a turning point of 39.974% of total energy demand across countries. The result implies that alternative and nuclear energy initially increases carbon damages. Simultaneously, it decreases at the later stages of atomic energy expansion; thus, nuclear power growth is imperative for long-term sustainable development. A positive relationship is found between carbon pricing and carbon damage, while a negative relationship is between fossil fuel combustion and carbon damage across countries. The results conclude that expansion in nuclear energy would help reduce the cost of carbon pollution to achieve environmental sustainability agenda across countries. [ABSTRACT FROM AUTHOR]

Technological innovation in the energy sector is highly needed to reduce carbon emission costs, which requires knowledge spillovers, financial development, and carbon pricing to achieve a green developmental agenda. The current study examines the role of knowledge innovations in achieving the environmental sustainability agenda under financial development and carbon pricing in a panel of 21 selected R&D economies from 1990 to 2018. The study constructed a composite index of financial development and knowledge innovation in the carbon pricing model. The results show that carbon pricing, a financial development index, innovation index, and energy demand fail to achieve stringent carbon reduction targets. A U-shaped relationship is found between carbon emissions and per capita income in the absence of a financial development index and trade openness. At the same time, this study shows the monotonic decreasing function in the presence of all factors. The causality estimates confirmed the feedback relationship between carbon pricing and carbon emissions, carbon pricing and the financial index, and the financial development index and innovation index. Further, the causality results established the carbon-led financial development and innovation, growth-led carbon emissions, and trade-led emissions, pricing, and financial development in a panel of selected countries. The estimates of the innovation accounting matrix (forecasting mechanism) confirmed the viability of the environmental sustainability agenda through carbon pricing, knowledge innovation, and financial development over a time horizon. However, these factors are not achievable carbon reduction targets in a given period. The study concludes that carbon pricing may provide a basis for achieving an environmental sustainability agenda through market-based innovations, green financing options, and improved energy resources. This would ultimately help desensitize carbon emissions across countries. [ABSTRACT FROM AUTHOR]

In the modern era, surging economic activities heighten energy demand, depleting traditional reserves and harming the environment. Renewable energy emerges as a vital alternative but faces technical, economic, and policy challenges. This study explores the impact of factors like energy grid, government incentives, CO2 emissions, economic growth, and electricity prices on renewable energy adoption in Pakistan from 1990Q1 to 2022Q4. Results reveal a U-shaped relationship between the energy grid and renewable energy penetration in the short and long terms. National support initially boosts green energy but diminishes over time. Economic incentives initially hinder adoption (i.e., 7.445, p < 0.000) but increase in the long run (i.e., −2.881, p < 0.000). Energy prices suppress adoption in the short term (i.e., −0.084, p < 0.050). Income correlates positively in the short term (i.e., 0.006, p < 0.000) but negatively in the long term (i.e., 0.019, p < 0.000). Policy-induced incentives and energy prices drive adoption, with impacts on income observed. Causal relationships and variance decomposition analysis highlight key factors influencing renewable energy integration in Pakistan, thereby informing policy and strategic decisions to foster sustainable energy practices. [Display omitted] [ABSTRACT FROM AUTHOR]

The United Nation Sustainable Development Goals emphasized to meet the global food security challenges by mechanized farming; access of clean water challenges by renewable freshwater withdrawals; clean energy issues determined by clean fuel and cleaner technologies; and combat climate change by limiting anthropogenic emissions of carbon, fossil fuel, and Greenhouse Gas emissions in the air. This study examined the aforementioned United Nation Sustainable Development Goals in the context of Pakistan by using a time series data from 1970 to 2016. The study employed Tapio's elasticity of decoupling state to analyze the relationship between water-energy-food resources and carbon-fossil-greenhouse gas emissions in a given country context. The results of Tapio elasticity found that carbon-fossil-greenhouse gas emissions' contamination in water-energy-food's resources are quite visible that exhibit weak decoupling state, expensive negative decoupling state, and strong decoupling state in the different decade's data, which substantiate the ecological cost in water-energy-food's resources. The results emphasized the need to adopt different sustainable instruments in a way to limit carbon-fossil-greenhouse gas emissions in water-energy-food resources through cleaner production technologies, renewable energy mix, environmental certification, anti-dumping tariff duty, strict environmental regulations, etc. These instruments would be helpful to achieve environmental sustainability agenda for mutual exclusive global gains. • To evaluate sustainability in the water, energy, and food (WEF) resources in Pakistan. • Tapio's elasticity is used to analyze the ecological costs pertaining to the stated factors in a country. • Strong, expansive, negative, and weak decoupling state found during different sample time periods. • Last three decades data confirmed 'expansive decoupling' in a country. • Environmental sustainability is achieved by efficient management of WEF resources. [ABSTRACT FROM AUTHOR]

This research was conducted by systematic literature review (SLR) analysis using PRISMA assistance in Watase. The purpose of this study is to answer questions related to the trend of hiding knowledge in the last five years. To find out this, this study uses grounded theory which helps in the development of SLR content analysis. The results obtained are that it can be seen that the concealment of knowledge is a topic that is of great interest to researchers for further research. This can also be seen from the increase in knowledge hiding articles every year. This study also shows some recommendations obtained from the limitations of previous studies that can help future researchers in exploring and developing research related to knowledge hiding. [ABSTRACT FROM AUTHOR]

Green technology innovation has gained incessant recognition due to rising concerns about environmental sustainability. It has the potential to improve energy efficiency by increasing total factor carbon productivity through mitigating effects. This research probes the asymmetric nexus between green technology innovation and energy efficiency in the top ten green innovator economies (Switzerland, Sweden, Germany, USA, Denmark, Finland, UK, Netherlands, Japan, and Norway). Prior investigations applied panel data approaches to acquire persistent outcomes on the green technology innovation-energy efficiency nexus, even though some countries did not individually demonstrate such a link. Comparatively, this study employs a distinctive 'Quantile-on-Quantile' technique that enables investigators to examine time-series dependence in each country by furnishing an international yet economy-specified understanding of the conjunction between the variables. Estimations disclose that green technology innovation improves energy efficiency in the majority of our selected economies at particular quantiles. It is also demonstrated that the asymmetries between our variables fluctuate among countries, highlighting the need for special care when adopting green innovation, energy efficiency, and sustainable environment policies. • The study analyzes the asymmetric green innovation-energy efficiency nexus. • A novel methodology, 'Quantile-on-Quantile (QQ)', is used. • The data for top-10 green innovator countries is used. • It is found that green innovations improve energy efficiency. [ABSTRACT FROM AUTHOR]

Trade uncertainty reverberates through financial markets and leaves an indelible mark on environmental quality, compelling us to address the intricate interaction between trade policies and ecological sustainability. The priority purpose of our research is to analyze how trade uncertainty affects the environmental quality in the top ten polluted nations (Indonesia, Russia, Japan, Brazil, China, Germany, USA, France, India, and Mexico). While previous analyses have primarily trusted panel data procedures to assess the attachment between trade uncertainty and environmental quality, they have often failed to consider how this relationship varies across different countries. In contrast, the current study takes a novel approach by employing the 'Quantile-on-Quantile' method to evaluate this correlation separately for each country. This innovative method allows for a more accurate analysis, providing a comprehensive worldwide view and tailored insights for each nation. The results reveal a significant improvement in environmental quality resulting from trade uncertainty across different quantile intervals. Additionally, the findings of this study underscore the diversity in the connections between these factors among various nations. These outcomes underscore the need for policymakers to conduct comprehensive evaluations and implement effective strategies addressing trade uncertainty and environmental quality. [Display omitted] • The study analyzes the asymmetric trade uncertainty-environmental quality nexus. • A novel methodology 'Quantile-on-Quantile' is used. • It is found that trade uncertainty improves environmental quality. [ABSTRACT FROM AUTHOR]