Environmental Management Strategies Research Articles

Multivariate statistical analysis of bioavailability of heavy metals and mineral characterization in selected species of coastal flora.

This study presents a thorough investigation into the concentration of heavy metals and mineral composition within four distinct coastal flora species: Cyperus conglomeratus, Halopyrum mucronatum, Sericostem pauciflorum, and Salvadora persica. Employing rigorous statistical methodologies such as Pearson coefficient correlation, principal component analysis (PCA), analysis of variance (ANOVA), and interclass correlation (ICC), we aimed to elucidate the bioavailability of heavy metals, minerals, and relevant physical characteristics. The analysis focused on essential elements including copper (Cu), iron (Fe), manganese (Mn), zinc (Zn), magnesium (Mg2+), calcium (Ca2+), sodium (Na+), potassium (K+), and chloride (Cl-), all of which are known to play pivotal roles in the ecological dynamics of coastal ecosystems. Through PCA, we discerned distinctive patterns within PC1 to PC4, collectively explaining an impressive 99.65% of the variance observed in heavy metal composition across the studied flora species. These results underscore the profound influence of environmental factors on the mineral composition of coastal flora, offering critical insights into the ecological processes shaping these vital ecosystems. Furthermore, significant correlations among mineral contents in H. mucronatum; K+ with content of Na+ (r = 0.989) and Mg2+ (r = 0.984); as revealed by ICC analyses, contributed to a nuanced understanding of variations in electrical conductivity (EC), pH levels, and ash content among the diverse coastal flora species. By shedding light on heavy metal and mineral dynamics in coastal flora, this study not only advances our scientific understanding but also provides a foundation for the development of targeted environmental monitoring and management strategies aimed at promoting the ecological sustainability and resilience of coastal ecosystems in the face of ongoing environmental challenges.

Severe microplastic pollution risks in urban freshwater system post-landfill fire: A case study from Brahmapuram, India

To investigate the escalating issue of microplastic (MP), pollution in urban water bodies, this study focuses on the aftermath of the Brahmapuram landfill fire in Kochi, India, analyzing its impact on MP concentrations in nearby freshwater system. The study conducted sampling sessions at the landfill site immediately before and after the fire. Post-fire, findings demonstrated a substantial increase in MP concentrations in surface waters, with levels rising from an average 25793.33 to 44863.33 particles/m³, featuring a notable presence of larger, predominantly black MPs. Sediment samples showed no significant change in MP count, but there was a significant increase in mass concentration. SEM/EDS analysis revealed changes in surface morphology and elemental composition, suggesting thermal degradation. Risk assessment using the Microplastic Pollution Index (MPI) and Risk Quotient (RQ) methods indicated heightened MP pollution risk in surface water post-fire. Hierarchical cluster analysis revealed the landfill's proximity as a significant factor influencing MP characteristics in the aquatic system. The study highlights the escalated challenge of MP pollution in urban water bodies following environmental disasters like landfill fires, underscoring the urgent need for policy and environmental management strategies.

FireXplainNet: Optimizing Convolution Block Architecture for Enhanced Wildfire Detection and Interpretability

The early detection of wildfires is a crucial challenge in environmental monitoring, pivotal for effective disaster management and ecological conservation. Traditional detection methods often fail to detect fires accurately and in a timely manner, resulting in significant adverse consequences. This paper presents FireXplainNet, a Convolutional Neural Network (CNN) base model, designed specifically to address these limitations through enhanced efficiency and precision in wildfire detection. We optimized data input via specialized preprocessing techniques, significantly improving detection accuracy on both the Wildfire Image and FLAME datasets. A distinctive feature of our approach is the integration of Local Interpretable Model-agnostic Explanations (LIME), which facilitates a deeper understanding of and trust in the model’s predictive capabilities. Additionally, we have delved into optimizing pretrained models through transfer learning, enriching our analysis and offering insights into the comparative effectiveness of FireXplainNet. The model achieved an accuracy of 87.32% on the FLAME dataset and 98.70% on the Wildfire Image dataset, with inference times of 0.221 and 0.168 milliseconds, respectively. These performance metrics are critical for the application of real-time fire detection systems, underscoring the potential of FireXplainNet in environmental monitoring and disaster management strategies.

Investigation on performance enhancement of micro-channel separated heat pipe in data center: A coupled heat-mass-flow characterization approach

As data center continues to expand in scale and complexity, the demand for efficient heat dissipation solutions becomes increasingly critical. The utilization of micro-channel separated heat pipe is prevalent in data center cooling due to their low energy consumption and efficient cooling. This study aims to investigate the effects of different refrigerant flow rates, different inclination angles and different inlet vapor phase fractions on the heat transfer and flow characteristics of micro-channel separated heat pipe evaporator. Firstly, a simulation model of the heat pipe evaporator was established considering the heat-mass-flow coupling characteristics, and the fins were modeled and simplified without neglecting the enhanced heat transfer. Then, the experimental data are used to verify the established simulation model, and the error is within the acceptable range. Finally, scheme design and performance optimization research are conducted. Research on the inlet flow rate of R134a shows that when the inlet flow rate is 0.005 m/s, the outlet is superheated vapor. The presence of an inclination angle (0°-20°) in the evaporator not only significantly reduces the pressure difference between the outlet and the inlet (more than 30 %), but also improves the heat transfer coefficient and the refrigerant velocity magnitude. In addition, increasing the inlet vapor volume fraction promotes vapor bubble nucleation and reduces the pressure drop, but leads to the presence of outlet overheating. The findings of this study contribute valuable insights for advancing thermal management strategies in data center environments.

Utility of decision tools for assessing plant health risks from management strategies in natural environments.

Increased imports of plants and timber through global trade networks provide frequent opportunities for the introduction of novel plant pathogens that can cross-over from commercial to natural environments, threatening native species and ecosystem functioning. Prevention or management of such outbreaks relies on a diversity of cross-sectoral stakeholders acting along the invasion pathway. Yet, guidelines are often only produced for a small number of stakeholders, missing opportunities to consider ways to control outbreaks in other parts of the pathway. We used the infection of common juniper with the invasive pathogen Phytophthora austrocedri as a case study to explore the utility of decision tools for managing outbreaks of plant pathogens in the wider environment. We invited stakeholders who manage or monitor juniper populations or supply plants or management advice to participate in a survey exploring their awareness of, and ability to use, an existing decision tree produced by a coalition of statutory agencies augmented with new distribution maps designed by the authors. Awareness of the decision tree was low across all stakeholder groups including those planting juniper for restoration purposes. Stakeholders requested that decision tools contain greater detail about environmental conditions that increase host vulnerability to the pathogen, and clearer examples of when management practices implicated in pathogen introduction or spread should not be adopted. The results demonstrate the need to set clear objectives for the purpose of decision tools and to frame and co-produce them with many different stakeholders, including overlooked groups, such as growers and advisory agents, to improve management of pathogens in the wider environment.

Effects of denitrification on speciation and redistribution of arsenic in estuarine sediments

Microbially-mediated redox processes involving arsenic (As) and its host minerals significantly contribute to the mobilization of As in estuarine sediments. Despite its significance, the coupling between As dynamics and denitrification processes in these sediments is not well understood. This study employed sequential sediment extractions and simultaneous monitoring of dissolved iron (Fe), nitrogen (N), and sulfur (S) to investigate the impact of nitrate (NO3−) on the speciation and redistribution of As, alongside changes in microbial community composition. Our results indicated that NO3− additions significantly enhance anaerobic arsenite (As(III)) oxidation, facilitating its immobilization by increased adsorption onto sediment matrices in As-contaminated estuarine settings. Furthermore, NO3− promoted the conversion of As bound to troilite (FeS) and pyrite (FeS2) into forms associated with Fe oxides, challenging the previously assumed stability of FeS/FeS2-bound As in such environments. Continuous NO3− additions ensured As and Fe oxidation, thereby preventing their reductive dissolution and stabilizing the process that reduces As mobility. Changes in the abundance of bacterial communities and correlation analyses revealed that uncultured Anaerolineaceae and Thioalkalispira may be the main genus involved in these transformations. This study underscores the critical role of NO3− availability in modulating the biogeochemical cycle of As in estuarine sediments, offering profound insights for enhancing As immobilization techniques and informing environmental management and remediation strategies in As-contaminated coastal regions.

Microplastic contamination in urban aquatic environments: Occurrence characteristics in urban streams and stormwater runoff from urban surfaces

This study investigates microplastics in urban environments, focusing on their abundance, types, and relationships with hydrological parameters. Microplastic analyses encompassed two steps: (1) examining urban streams including discharges from a wastewater treatment plant (WWTP) during non-rainy seasons, and (2) analyzing stormwater runoff from urban surfaces for microplastic content during rainy seasons. In urban streams, WWTP discharge exhibited higher microplastic concentrations compared to other streams, indicating WWTP discharge is a dominant source of microplastic pollution. The most prevalent microplastics detected were polypropylene, polyethylene, and their copolymer, although a variety of other types were also found. Concentrations of microplastics were notably influenced by specific urban land uses, as evidenced by a strong correlation (0.95) between microplastic concentrations and areas characterized by industrial and transportation activities. During rainy seasons, microplastics followed the pattern of stormwater runoff, but the highest concentrations, significantly exceeding those in urban streams, were observed before the peak runoff. These maximum concentrations and their timing of occurrence were linked to antecedent dry days, rain intensity, and runoff rate, showing significant statistical correlations. Regardless of their sizes, a diverse range of microplastic types was identified in these conditions, with no consistent pattern across different rain events. This highlights the complex nature of urban microplastic pollution. This study reveals that aquatic ecosystems are significantly affected by two primary factors: (1) the consistent contribution of microplastics from WWTP discharges, and (2) the short-term, but severe, impacts of microplastic pollution associated with stormwater runoff. Furthermore, it suggests the development of alternative strategies to mitigate microplastic pollution in aquatic ecosystems, informed by the findings on the characteristics of microplastics in urban environments. This research underscores the urgent need for integrated urban environmental management strategies, paving the way for future studies to further explore and address the multifaceted challenges posed by microplastic pollution in aquatic ecosystems.

Green credit policy and default risk of the heavy polluting corporations

This paper uses a double-difference model to test the impact of green credit policy on the default risk of heavy polluters based on the data of China listed companies from 2008 to 2021. It is found that green credit policy can significantly reduce the default risk of heavy polluters, and the reduction effect is more significant in state-owned enterprises. Further mechanism tests show that green credit policy reduces default risk by guiding heavily polluting firms to reduce financial leverage. Government environmental regulation and corporate green innovation capacity affect the role of green credit policy on corporate default risk. With the strengthening of regional environmental regulations and the enhancement of corporate green innovation capabilities, the effect of green credit policies in diminishing the default risk for companies with high pollution levels is increasingly evident. This study not only enriches the literature on green credit but also demonstrates the effectiveness of directing banks and various financial entities to allocate resources reasonably, guiding heavily polluting enterprises to control risks, and steadily achieving green transformation. These findings hold significant implications for decision-making in designing environmental policy and management strategies.

Exploring the Ecological Implications, Gastronomic Applications, and Nutritional and Therapeutic Potential of Juglans regia L. (Green Walnut): A Comprehensive Review.

The green walnut, which is frequently overlooked in favor of its more mature sibling, is becoming a topic of great significance because of its unique ecological role, culinary flexibility, and therapeutic richness. The investigation of the bioactive substances found in green walnuts and their possible effects on human health has therapeutic potential. Juglans regia L. is an important ecological component that affects soil health, biodiversity, and the overall ecological dynamic in habitats. Comprehending and recording these consequences are essential for environmental management and sustainable land-use strategies. Regarding cuisine, while black walnuts are frequently the main attraction, green walnuts have distinct tastes and textures that are used in a variety of dishes. Culinary innovation and the preservation of cultural food heritage depend on the understanding and exploration of these gastronomic characteristics. Omega-3 fatty acids, antioxidants, vitamins, and minerals are abundant in green walnuts, which have a comprehensive nutritional profile. Walnuts possess a wide range of pharmacological properties, including antioxidant, antibacterial, antiviral, anticancer, anti-inflammatory, and cognitive-function-enhancing properties. Consuming green walnuts as part of one's diet helps with antioxidant defense, cardiovascular health, and general well-being. Juglans regia L., with its distinctive flavor and texture combination, is not only a delicious food but also supports sustainable nutrition practices. This review explores the nutritional and pharmacological properties of green walnuts, which can be further used for studies in various food and pharmaceutical applications.

Application of cold-adapted microbial agents in soil contaminate remediation: biodegradation mechanisms, case studies, and safety assessments.

The microbial agent technology has made significant progress in remediating nitro-aromatic compounds (NACs), such as p-nitrophenol, 2,4-dinitrophenol, and 2,4,6-Trinitrotoluene, in farmland soil over the past decade. However, there are still gaps in our understanding of the bioavailability and degradation mechanisms of these compounds in low-temperature environments. In this review, we provide a comprehensive summary of the strategies employed by cold-adapted microorganisms and elucidate the degradation pathways of NACs pollutants. To further analyze their metabolic mechanisms, we propose using mass balance to improve our understanding of biochemical processes and refine the degradation pathways through stoichiometry analysis. Additionally, we suggest employing 13C-metabolic flux analysis to track enzyme activity and intermediate products during bio-degradation processes with the aim of accelerating the remediation of nitro-aromatic compounds, particularly in cold regions. Through a comprehensive analysis of pollutant metabolic activities and a commitment to the 'One Health' approach, with an emphasis on selecting non-pathogenic strains, the environmental management strategies for soil remediation could be positioned to develop and implement safe and effective measure.

Development of a Rapid Detection Method to Prorocentrum lima by Loop-Mediated Isothermal Amplification with Hydroxy Naphthol Blue.

Prorocentrum lima, a widely distributed dinoflagellate known for its production of harmful biotoxins, poses a significant threat to humans, aquaculture, and marine ecosystems. As a result, the detection of this toxic alga in coastal waters has become an urgent research focus. In this study, a rapid, sensitive, and cost-effective detection method based on loop-mediated isothermal amplification (LAMP) was developed to identify P. lima. In this method, cell extracts of P. lima were diluted and used directly as templates for amplification, eliminating the need for nucleic acid purification and simplifying the detection process. Hydroxy naphthol blue (HNB) was incorporated into the reaction mix to facilitate result interpretation, enabling visual determination of the amplification outcome with the naked eye. The entire detection process, from DNA extraction to template amplification and product detection, could be completed within 80min using a simple constant temperature-control device. This LAMP-based detection method demonstrated excellent reliability, specificity, and a low detection limit of 5.87 cells/mL for DNA crude extract. The assay offered an efficient alternative to PCR for rapid detection of P. lima. By streamlining the detection process and offering a visual readout, this technique holds promise for efficient and routine monitoring of harmful algal species, benefitting both research efforts and environmental management strategies.

A realistic combined exposure scenario: effect of microplastics and atrazine on Piaractus mesopotamicus.

Microplastics, considered emerging environmental contaminants resulting from plastic degradation, are discovered in diverse aquatic ecosystems and can be unintentionally ingested by fish. Therefore, it is essential to characterize their interaction with other contaminants, such as agrochemicals, in aquatic environments. This study aimed to assess histological, enzymatic, and genotoxic biomarkers in juvenile pacú (Piaractus mesopotamicus) exposed to polyethylene (PE) microplastic particles and the herbicide atrazine, individually or combined, for 15 days. Four treatments were used: a negative control (CON), PE in the fish diet (0.1% w/w, FPE), atrazine through water (100 μg L-1, ATZ), and the mixture (ATZ+FPE). Results confirmed histological alterations in gills (edema and lamellar fusion) and liver (necrotic areas and congestion) of fish exposed to ATZ and ATZ+FPE. The number of goblet cells increased in the posterior intestine of fish under ATZ+FPE compared to CON and FPE. Enzyme activities (CAT, GST, AChE, and BChE) significantly increased in ATZ+FPE compared to CON. However, no genotoxic effect was demonstrated. These findings provide insights into the complex impacts of simultaneous exposure to atrazine and microplastics, emphasizing the need for continued research to guide effective environmental management strategies against these contaminants that represent a risk to aquatic organisms.

Conservation features of the terrestrial Antarctic Peninsula.

Conserving landscapes used by multiple stakeholder groups requires understanding of what each stakeholder values. Here we employed a semi-structured, participatory approach to identify features of value in the terrestrial Antarctic Peninsula related to biodiversity, science and tourism. Stakeholders identified 115 features, ranging from Adélie penguin colonies to sites suitable for snowshoeing tourists. We split the features into seven broad categories: science, tourism, historic, biodiversity, geographic, habitat, and intrinsic features, finding that the biodiversity category contained the most features of any one category, while science stakeholders identified the most features of any stakeholder group. Stakeholders have overlapping interests in some features, particularly for seals and seabirds, indicating that thoughtful consideration of their inclusion in future management is required. Acknowledging the importance of tourism and other social features in Antarctica and ensuring their integration into conservation planning and assessment will increase the likelihood of implementing successful environmental management strategies into the future.

Underlying mechanisms governing on distribution and stratification of DOM during seasonal freeze-thaw cycles

During the freeze-thaw cycles of ice-covered lakes, DOM undergoes a series of transformations including enrichment, dispersion, and filtration. However, the mechanisms and influence factors on lake pollution processes remain unclear. Therefore, this study investigates the distribution of DOM components and elucidate the role of ice-layer sieving its mechanisms within ice-water-sediments. Study identifies significant variations in the characteristics of DOM, protein-like substances tend to migrate towards the ice layer, while humic-like substances predominantly remain in water. This selective distribution is primarily influenced by the physical and chemical properties of DOM during the freezing process. The ice layer acts as a sieve, allowing smaller molecules such as protein-like substances to pass through more easily, while larger molecules like humic-like substances are retained in the water. Additionally, Temperature plays a pivotal role in affecting the contents of DOM. As the temperature decreases, the solubility of DOM decreases, leading to its precipitation and enrichment in sediments. Conversely, an increase in temperature can facilitate the release of DOM from sediments into the water. Furthermore, high content of total dissolved solids can affect the solubility and stability of DOM, potentially leading to changes in its composition and distribution. These insights provide a deeper understanding of the complex interplay between thermal processes and chemical dynamics within ice-covered aquatic environments. They offered valuable insights into the behavior of organic pollutants in frozen lake systems. The findings have potential implications for environmental management strategies aimed at mitigating the effects of climate.

Impact of Environmental Regulation on Corporate Green Technological Innovation: The Moderating Role of Corporate Governance and Environmental Information Disclosure

Environmental degradation is an important issue facing the world today. Microcosmically, green technical innovation is needed to decrease environmental pollution. Therefore, exploring the relationship between the two is of great significance for promoting environmental protection and sustainable development. Thus, this research elucidates the interaction between green innovation (GI) and environmental regulations (ERs). This study utilizes the fixed effects model to examine how government environmental protection subsidies (EPSs) in market-incentive ER and environmental management system certification (EMSC) in voluntary participatory ER affect GI among listed companies in China. The sample observation period is from 2012 to 2021. Additionally, the impact of corporate governance (CGL) and environmental information disclosure (EID) on the relationship between ERs and GI within businesses is investigated. The empirical results show that both government environmental protection subsidies and environmental management system certification positively affect green innovation, and both corporate governance and environmental information disclosure positively moderate the impact of government environmental protection subsidies and environmental management system certification on green innovation. The above empirical results are still valid after a robustness test and can guide the formulation of government ERs, as well as corporate strategies for environmental management and GI.

The UK’s 25 Year Plan for the Environment and the Convention on Biological Diversity: Gaps, Synergies and Opportunities

The UK government’s 25 Year Plan to Improve the Environment (25YEP), published in 2018, together with annual progress reports and subsequent periodic revisions, represent the most comprehensive and forward-looking single body of environmental legislation for the United Kingdom. The forthcoming update of the UK National Biodiversity Strategy and Action Plan (NBSAP) addressing targets for the Convention on Biological Diversity’s Global Biodiversity Framework to 2030 is also an opportunity to revisit the monitoring framework developed for the 25YEP. Here, we present an evaluation of the goals, targets and indicators of the 25YEP in light of gaps, synergies and opportunities for aligning with the CBD 2030 Framework. We make a number of recommendations for adopting indicators already developed in the context of CBD targets that can also measure progress towards environmental targets within the UK, with a view to more holistic monitoring of biodiversity status and trends. Landscape-scale interventions and, in particular, improvements to farming—exemplified by the new Environmental Land Management Schemes—and fishing policies have the potential for the greatest enhancement to the state of the UK environment and the plants and wildlife within it.

The interaction between nutrients and heavy metals in lakes and rivers entering lakes

This study investigated the conditions and modes of interaction between nutrients and heavy metals within river and lake environments under multivariate conditions. Nitrogen and phosphorus nutrients were categorized into dissolved phosphorus, inorganic phosphorus, dissolved nitrogen, ammonium nitrogen, and nitrate nitrogen based on their chemical composition. Their correlations with heavy metal elements were scrutinized utilizing Bayesian models. The results revealed the following: (1) A robust interrelationship was observed between sediment metals and soluble metals within lake sediments and water bodies. (2) In lake environments, the competition between metals was relatively weak, and the influence of environmental factors was variable, without discernible patterns. This phenomenon may be attributed to the low concentration of soluble metals in the overlying water in the absence of external inputs. (3) Competition between metals in river sediment was weaker than that in lakes. This may be attributed to the flow dynamics and velocity of rivers, coupled with their strong self-purification ability. (4) Dissolved phosphorus (DP) exhibited greater control over the direction of metal adsorption and desorption compared to inorganic phosphorus (IP). (5) Similarly, dissolved total nitrogen (DTN) exhibited greater control over the direction of metal adsorption and desorption in river sediments compared to total nitrogen (TN). (6) Nitrate (NO3–-N) and ammonium (NH4+-N) simultaneously controlled the adsorption and desorption directions of metals such as Cr, Mn, Ni, Zn, and Pb in river sediment, with the direction of metal action dependent on soil adsorption capacity. These findings provide valuable insights into the complex interactions shaping nutrient-metal dynamics in aquatic systems, offering potential avenues for enhanced environmental management and remediation strategies.

Assessment of aluminium toxicity on Dugesia tigrina: implications for reproduction, behaviour, and enzymatic metabolism

ABSTRACT Aluminium (Al) is the eighth most prevalent metallic contaminant in global aquatic environments. This study explores the toxicity of Al and the acidity generated in the aquatic environment, using Dugesia tigrina, elucidating its environmental repercussions. The research uniquely highlights reproductive, behaviours and enzymatic effects pertinent to Al toxicity. The paper evaluated median lethal concentration [LC50 (96 h)], planarian mobility (pLmV), reproductive effects, glycogen content, and enzymes activities. The LC50 (96 h) was 348.08 µM. The aqueous extract produced a 74.6% reduction in mobility after acute exposition, and a 34.3% decrease in glycogen content after 14 days at 100 µM Al. Fertility and fecundity decreased by 47.8% and 67.8%, respectively, after 30 days at 50 µM Al (pH 7.0), with a complete absence of cocoons at pH 5.9. Hatching time increased by 24.8% at 50 µM Al (pH 7.0). Exposure to 100 µM Al for 24 h increase enzyme activities: catalase (49%), superoxide dismutase (89.7%), and acetylcholinesterase (46%). The observed changes in enzyme activity underscore Al's adverse effects on reproduction, behaviour, and enzymatic metabolism in planarians, urging the implementation of effective environmental management strategies to mitigate potential implications for various species and ecosystems.

Trends in Sustainable Banking Practices: A Bibliometric Review of Green Financial Services and Risk Management Strategies

Sustainable banking practices and environmentally friendly financial services are becoming an increasing research focus in the modern financial era. This article performs a bibliometric review of trends and strategies in this domain. It was found that green finance concepts, such as green bonds and environmentally friendly banking practices, as well as the integration of financial technology (fintech), were in the main spotlight. However, the COVID-19 pandemic has also influenced green investment trends and environmental risk management strategies. In conclusion, this article highlights future challenges and opportunities, including the integration of fintech in green finance, green banking practices in various countries, and the contribution of the financial sector to achieving the Sustainable Development Goals (SDGs).

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.