Water supply systems, the unseen arteries of modern civilization, require constant maintenance to ensure reliability, safety, and efficiency. Traditionally, maintenance practices have focused narrowly on operational integrity and cost minimization. However, these systems represent significant embedded energy and carbon footprints across their lifecycles—from water extraction and treatment to distribution and end-use. Wang et al. highlight that neglecting the interdependencies between energy usage, carbon emissions, and water loss during system maintenance overlooks immense opportunities for optimization and sustainability.

This ground-breaking study introduces a holistic framework for analyzing and enhancing water supply system maintenance through an integrated energy-carbon-water (ECW) lens. By building sophisticated models that capture the dynamic interactions among the three domains, the researchers identify leverage points where coordinated interventions can drastically reduce overall system inefficiencies. For instance, strategic valve replacements or pipeline repairs not only curtail water wastage but also lead to meaningful energy savings in pumping operations and consequent reductions in greenhouse gas emissions.

The implications of adopting an ECW synergy perspective are profound. On a global scale, water supply infrastructures contribute substantially to municipal energy demands and carbon footprints. Improvements in maintenance protocols, informed by this research, can lead to a cascading effect—lower energy consumption results in fewer carbon emissions, which in turn mitigates the environmental impact of water services. Beyond environmental benefits, these enhancements also yield financial savings that make sustainable practices economically viable for utilities and governments worldwide.

One of the most compelling aspects of Wang et al.’s research lies in their methodology’s adaptability to diverse geographic and infrastructural contexts. Using data-driven simulations, the team calibrated their models to reflect regional variations in water demand patterns, energy sources, climate conditions, and infrastructure age. This contextual flexibility is crucial for practical implementation, as it allows stakeholders—from urban planners to policymakers—to tailor maintenance strategies that maximize ECW synergies based on local realities.

Moreover, the research underscores that maintenance is not merely a technical chore but a strategic opportunity to embed resilience into water supply networks. As climate change intensifies extreme weather events and population growth escalates water demand, maintaining system health while minimizing environmental trade-offs becomes vital. The integrated ECW approach offers pathways to future-proof infrastructures by anticipating and mitigating risks related to energy scarcity and carbon regulations, alongside safeguarding precious water resources.

Technical insights from the study reveal innovative maintenance scheduling algorithms and sensor integration strategies that facilitate real-time monitoring of energy use and water loss during repair activities. By leveraging Internet of Things (IoT) technologies and predictive analytics, utilities can optimize maintenance windows and resource allocation, reducing downtime and environmental footprint simultaneously. These advancements highlight the convergence of digital transformation with sustainability imperatives in critical infrastructure management.

In addition to immediate operational benefits, the research highlights the long-term climate implications of embracing ECW synergy principles in infrastructure lifecycle management. Energy-efficient maintenance reduces reliance on fossil fuel-based electricity, directly curtailing carbon dioxide emissions. Over time, these reductions contribute to national and international climate goals, affirming water system maintenance as a key lever in the broader fight against global warming.

Furthermore, the study advocates for policy frameworks that incentivize cross-sector collaboration and integrated resource management. Traditional siloed approaches in water, energy, and environmental regulation impede holistic optimization. Wang and colleagues argue for regulatory architectures that recognize and reward synergistic maintenance practices, fostering innovation and accelerating adoption at scale. Their recommendations include setting performance metrics explicitly linking energy savings and carbon reductions to water system maintenance benchmarks.

Social equity dimensions also emerge from this research. Ensuring affordable and sustainable water services in underserved communities often hinges on maximizing infrastructural efficiency and minimizing operational costs. By reducing energy expenses through smarter maintenance, utilities can potentially lower water tariffs, making essential services more accessible. This creates a virtuous circle where environmental sustainability underpins social inclusiveness and community well-being.

The exceptional interdisciplinary nature of this work combines expertise from civil engineering, environmental science, data analytics, and public policy, demonstrating the necessity of breaking down academic and practical silos to tackle global challenges. Wang et al. set a new standard for collaborative research that bridges theory and praxis, offering actionable insights for technologists, operators, and decision-makers alike.

While their contributions are transformative, the authors acknowledge ongoing challenges such as data availability, infrastructure heterogeneity, and varying institutional capacities. Future research avenues involve refining models with high-resolution data, exploring emerging energy sources like renewables within water system operations, and scaling pilot programs to diverse settings worldwide. These steps will be vital to fully realizing the potential of ECW synergy-informed maintenance worldwide.

In conclusion, the pioneering work by Wang, Huang, Shao, and colleagues encapsulates a visionary approach to one of humanity’s fundamental needs—water supply—by unveiling the intertwined prospects of energy efficiency, carbon mitigation, and water conservation in system maintenance. This research not only advances scientific understanding but also provides a clear pathway to sustainable infrastructure management aligned with global environmental and societal priorities. As cities grow and climate uncertainty looms, their insights resonate as both a beacon and a blueprint for the future of water stewardship.

Subject of Research:

Article Title:

Article References:
Wang, S., Huang, Y., Shao, Y. et al. Unlocking energy-carbon-water synergies in global water supply system maintenance. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72300-3

Image Credits: AI Generated

DOI: 10.1038/s41467-026-72300-3

Keywords: Energy efficiency, carbon emissions, water supply systems, infrastructure maintenance, environmental sustainability, integrated resource management, climate change mitigation

This comprehensive investigation involved an empirical study of 259 Chinese cities, focusing on the spatial interdependencies of carbon emission efficiency within and between urban regions. Traditional approaches often evaluate carbon reduction through isolated technological innovations in green industries; however, this paper redirects the focus toward systemic industrial optimization driven by digital integration. The findings, as counterintuitive as they are profound, reveal that the most significant carbon efficiency gains stem not from discrete eco-friendly technologies but from digitization’s ability to pivot economic activity away from polluting sectors toward more streamlined and digitally empowered services.

At the core of this study lies the spatial Durbin model, a sophisticated econometric tool designed to capture the complex spillover effects of environmental policies across neighboring jurisdictions. This model reveals that as one city’s digital economy expands, its positive environmental impact does not remain confined but ripples outward, influencing surrounding cities’ carbon emission efficiencies. Such spatial spillovers highlight the importance of coordinated regional policy frameworks rather than fragmented local interventions, emphasizing the interwoven nature of economic and ecological landscapes.

Quantitatively, the relationship between digital economic growth and carbon efficiency emerged with remarkable clarity. Every 1% increase in a city’s digital economy correlates with an average 0.017% improvement in carbon emission efficiency. While this figure may seem modest at first glance, when aggregated over large populations and extended timeframes, it equates to a substantial step forward in climate mitigation efforts. The digital economy therefore emerges not only as an engine for economic vitality but as a pivotal climate action lever.

Delving deeper, the mediating role of industrial structure optimization was paramount. The analysis demonstrated a robust mediating effect value of 0.490, underscoring that the transformation of industrial composition—favoring less carbon-intensive sectors—is the primary mechanism by which digitalization advances carbon efficiency. In contrast, direct impacts resulting from green technological innovation were negligible and statistically insignificant at a measured 0.002. This challenges prevailing narratives that prioritize high-tech environmental solutions as the sole path to sustainability, instead advocating for a more holistic, macroeconomic lens.

This study’s longitudinal data spanning 2015 to 2022 further strengthens the argument. Metrics such as Moran’s I and Geary’s C, well-established indicators of spatial autocorrelation, documented increasing regional convergence in carbon emission efficiency. This spatial clustering suggests that cities are not only individually improving but are also learning from and adapting to neighboring urban policies and economic trends. Such intercity synergy fosters a more uniform environmental performance landscape, progressively eroding historical disparities in emission efficiencies across regions.

Strategically, the research presents an indispensable playbook for urban planners and policymakers. It elucidates how boosting digital economies can serve dual purposes: invigorating local economies and simultaneously navigating trajectories toward cleaner industrial profiles. By focusing on systemic industrial upgrading facilitated by digital transformation, policymakers can unlock extensive carbon-saving potentials without being overly reliant on the uncertain pace of green technology invention and adoption.

The implications extend beyond China’s borders, offering universally relevant insights for cities grappling with sustainability amidst economic modernization. The spatial Durbin model methodology serves as an exemplar for cross-regional environmental impact assessment, highlighting how systemic econometric approaches can guide regional cooperation and policy alignment. Embracing the digital economy as a lever for industrial restructuring rather than pure technological innovation could redefine global approaches to climate strategy.

Moreover, the finding that urban economies are evolving towards digitally integrated service sectors invites further inquiry into the nature of future employment, infrastructural needs, and governance models. This shift away from heavy industry can reduce carbon intensity significantly but also necessitates proactive planning to manage social and economic transitions, ensuring inclusivity and resilience.

As digital infrastructure expands, the feedback loop captured by the spatial Durbin model suggests an emergent network of knowledge and policy diffusion among cities. This heralds a new era where environmental gains are not isolated achievements but part of a collective metropolitan ecosystem. Countries around the world seeking to replicate China’s progress must, therefore, consider fostering regional digital collaborations alongside national policies.

Crucially, this research underscores that digital economy development must be purposefully aligned with environmental goals to maximize its carbon efficiency benefits. Without deliberate industrial policy and institutional frameworks oriented towards green transitions, digital growth risks reinforcing existing polluting industries or generating new environmental challenges.

In summary, the pioneering study by Gengquan Zhang and collaborators fundamentally reframes how we understand the environmental dividends of digital economies. By moving beyond the simplistic association of digital technologies with green innovation, it reveals a far richer, spatially intertwined economic transformation as the true catalyst for improved carbon emission efficiency. This insight equips policymakers, urban planners, and researchers with a powerful toolset to navigate the dual imperatives of economic dynamism and planetary health.

Subject of Research: Impact of digital economy development on urban carbon emission efficiency using spatial econometric modeling.

Article Title: The impact of digital economy development on carbon emission efficiency: an empirical analysis based on spatial Durbin model and mediating effect.

News Publication Date: 28-Feb-2026

Web References:

• DOI link: http://dx.doi.org/10.1007/s44246-025-00257-x
• Carbon Research journal homepage: https://link.springer.com/journal/44246

References: Zhang, G. The impact of digital economy development on carbon emission efficiency: an empirical analysis based on spatial Durbin model and mediating effect. Carbon Res. 5, 16 (2026).

Image Credits: Gengquan Zhang

Keywords: Digital economy, carbon emission efficiency, spatial Durbin model, industrial structure optimization, environmental economics, urban sustainability, regional spillover effects, economic transformation, green technology, spatial econometrics.

The urgency of this research is underscored by the challenges posed by climate change and environmental degradation. With Ethiopia’s economy growing, the demand for energy in various sectors—including hospitality and education—is on the rise. This subsequently leads to increased energy consumption, which has sparked a need to reevaluate existing practices and adopt more sustainable methods. The implications of this research extend beyond local environments; it serves as an important case study for countries facing similar challenges worldwide.

The methodology employed in this study integrates both qualitative and quantitative analyses to capture a comprehensive picture of energy usage and waste production. The researchers conducted surveys and interviews with key stakeholders, including hotel managers and university officials, as well as performing on-ground assessments of energy consumption and waste generation. This multifaceted approach ensures that the findings are not only robust but also representative of the actual conditions in these institutions.

The results of the study indicate notable variations in energy consumption among the hotels and universities surveyed. While some establishments have begun to adopt energy-efficient technologies, others still rely heavily on outdated systems that significantly contribute to unnecessary energy waste. The gaps identified highlight critical opportunities for intervention, especially in a country where the demand for energy is expected to continue rising in the coming years.

Particularly striking was the study’s finding regarding biowaste generation. Many hotels and universities produce a substantial amount of organic waste, which is often not managed effectively. Instead of being redirected back into the energy cycle, this waste is frequently disposed of in landfills, contributing to environmental harm. The research calls for a systematic approach to rethinking waste management, advocating for composting and biogas production as viable methods for harnessing energy from biowaste.

Energy consumption patterns in the hospitality sector reveal additional complexities. The research findings suggest that seasonal variations and the influx of tourists influence energy usage. Consequently, the peaks in demand challenge current energy infrastructure and policies. Recommendations point towards the implementation of demand-side management strategies that can alleviate strain during high-usage times and ensure more stable energy access throughout the year.

Moreover, the integration of renewable energy sources emerged as a pivotal theme within the study. The potential for solar energy harnessing in Ethiopia is vast, given the country’s geographical advantages and abundant sunlight. By investing in solar energy systems, hotels and universities can significantly reduce their reliance on fossil-fuel-based energy, thus aligning with global sustainability goals and local energy needs.

It is essential to highlight the role of policy frameworks in facilitating these changes. Both national and local governments are encouraged to implement policies that support energy-efficient practices and the development of renewable energy projects. Incentives for institutions that demonstrate sustainable practices could serve as powerful motivators, leading to a wider adoption of environmentally friendly technologies and methods.

The researchers also emphasize the importance of education and training for stakeholders involved in energy management and waste handling. Enhancing awareness among hotel staff, university employees, and students about sustainable practices can drive collective action towards energy efficiency and responsible waste management. Educational initiatives can also foster innovative ideas for overcoming existing challenges, creating a more informed community regarding energy conservation.

This research cuts across multiple disciplines, including environmental science, engineering, and social sciences. By engaging with a variety of stakeholders, the study reinforces the notion that sustainable solutions require a collaborative effort. The interplay between energy use, waste generation, and community engagement forms a foundation from which more sustainable practices can emerge.

The impact of such a research study is significant not only for the immediate stakeholders but also for the broader context of sustainable development. The findings will likely inspire similar studies in other regions, contributing to a growing body of knowledge that aims to tackle the urgent issues of energy consumption and waste management globally.

As the world grapples with the implications of climate change and strives to achieve the Sustainable Development Goals, it is critical to underscore the urgency of timely and effective solutions. Research such as this highlights the importance of localized studies which can inform broader global strategies. By focusing on specific contexts like southern Ethiopian hotels and universities, the researchers provide a template that can be replicated in similar settings across diverse geographical regions.

In conclusion, the study presents a call to action for all stakeholders involved in the energy and waste sectors. By leveraging the insights gained from this research, stakeholders can collaboratively work towards enhancing energy efficiency and waste management practices, ultimately contributing to a more sustainable future. The study not only identifies the challenges but also opens avenues for innovative solutions that can benefit both the local economy and the environment in the long run.

Subject of Research: Energy consumption patterns and biowaste generation in southern Ethiopian hotels and universities

Article Title: Correction: Assessing energy consumption patterns and biowaste generation in southern Ethiopian hotels and universities: towards sustainable energy solutions.

Article References:

Seboka, A.D., Feng, L., Morken, J. et al. Correction: Assessing energy consumption patterns and biowaste generation in southern Ethiopian hotels and universities: towards sustainable energy solutions.
Discov Sustain 7, 161 (2026). https://doi.org/10.1007/s43621-025-02403-2

Image Credits: AI Generated

DOI: 10.1007/s43621-025-02403-2

Keywords: Energy consumption, biowaste, sustainable solutions, hospitality sector, renewable energy, waste management, Ethiopia.

The implications of digital twins in the context of climate change are profound. As cities across the globe grapple with rising temperatures, unpredictable weather patterns, and shifting environmental policies, the integration of technology like digital twins becomes crucial. This digital framework allows city planners and policymakers to visualize the impact of various climate strategies on urban environments. By simulating different scenarios, stakeholders can assess potential outcomes and make informed decisions. Enhanced by real-world data, these simulations can help cities reduce their carbon footprints, improve air quality, and create more sustainable urban landscapes.

Munich, known for its rich cultural history and commitment to innovative urban solutions, serves as an ideal case study for this research. The city has taken significant strides towards sustainability in recent years, implementing numerous green initiatives. By employing an adapted multiple streams framework, the study aims to uncover how digital twins can facilitate proactive agenda-setting among stakeholders, enhancing citizen engagement and participation in climate action. This method allows researchers to dissect the convergence of problems, policies, and politics that underpin successful climate-neutral agendas.

What makes the integration of digital twins particularly valuable is their ability to involve citizens in the policymaking process. Traditionally, major urban decisions have been made by a select group of policymakers and experts, often leaving community voices unheard. However, digital twins can democratize the planning process by providing citizens with access to data about their city’s environment. Engaging the public in discussions surrounding sustainability not only empowers individuals but also cultivates a sense of collective ownership over urban development issues.

The findings of this research will likely highlight the importance of transparency and accessibility in urban policy frameworks. Citizens armed with data from digital twins can hold policymakers accountable, ensuring that climate initiatives align with community interests. Moreover, digital twins facilitate interactive platforms where citizens can visualize proposed changes, offering feedback based on simulated outcomes and encouraging broader participation.

Communication is key when implementing new technologies in urban planning. The study will also explore the communication strategies necessary to effectively convey the benefits of digital twins to the general public. Without comprehensive outreach, even the most advanced technologies risk remaining underutilized. Engaging storytelling techniques, workshops, and public forums could be essential seeds for sparking interest and understanding of digital twins among citizens.

Moreover, the research is expected to assess the technological and institutional challenges cities face in adopting digital twins. From data collection and integration to ensuring data privacy and security, a wide array of technical hurdles must be navigated. Understanding these challenges is vital for the successful rollout of digital twins in urban environments. Strategies that prioritize collaboration among municipal departments, private tech firms, and academic institutions could facilitate smoother implementations.

The pursuit of climate-neutral cities is more than just an aspirational goal; it is becoming a necessary mandate. With predictions indicating a pressing need for drastic measures to combat climate change, the role of digital innovation in this fight cannot be overstated. By examining the interplay between urban digital twins, citizen engagement, and climate strategies, the authors of this study are contributing to a burgeoning field that intersects technology, sustainability, and social responsibility.

As cities like Munich set the stage for sustainable urban development, lessons learned could resonate globally. The interplay between technology and public engagement may pave the way for innovative practices that can be replicated in other urban settings. The results of the study are anticipated to inspire further research, leading to enhanced methodologies for integrating digital technologies into urban policy frameworks.

In conclusion, the forthcoming research on digital twins and their role in climate-neutral agenda-setting represents a significant stride towards realizing sustainable urban futures. By bridging the gap between technology and citizen participation, digital twins hold immense potential to transform how cities approach environmental challenges. Should the findings affirm the hypothesis that citizen engagement enhances policy effectiveness, we could witness a paradigm shift in urban planning methodologies worldwide.

As the world gears up for more robust measures against climate change, the emphasis on collaborative policy development may invigorate efforts towards sustainability. Digital twins are not merely tools; they symbolize a shift towards a more inclusive, transparent, and scientifically-informed approach to urban governance. The lessons learned from Munich might just light the way for cities around the globe as they strive to engage their citizens in building a sustainable future.

In this fast-evolving landscape, the role of interdisciplinary research cannot be overlooked. Collaboration among technologists, sociologists, environmental scientists, and policy experts can unlock innovative solutions that address the diverse challenges posed by climate change. The journey toward climate-neutral cities is complex and multifaceted, but with the right tools—like digital twins—and the active participation of citizens, we can chart a path toward a resilient and sustainable urban future.

Subject of Research: The role of urban digital twins in climate-neutral agenda-setting and citizen participation.

Article Title: Examining the role of urban digital twins for climate-neutral agenda-setting and citizen participation in Munich using an adapted multiple streams framework.

Article References:

Adade, D., de Vries, W.T. Examining the role of urban digital twins for climate-neutral agenda-setting and citizen participation in Munich using an adapted multiple streams framework.
Discov Sustain (2026). https://doi.org/10.1007/s43621-026-02696-x

Image Credits: AI Generated

DOI:

Keywords: Digital twins, Climate-neutral, Urban planning, Citizen participation, Sustainable cities, Munich, Technology integration, Environmental management.

The significance of solar water pumping systems cannot be overstated. These systems offer a sustainable alternative to traditional diesel-powered pumps, allowing for reduced carbon footprints while providing reliable agricultural irrigation in many regions around the world. The accuracy in predicting the performance and availability of these systems is crucial for optimizing their deployment and ensuring that they meet the energy demands of agricultural activities, particularly in areas that suffer from unreliable electricity access.

Chundawat and colleagues emphasize that the variability of solar energy poses a significant challenge for the reliability of solar water pumping systems. Day-to-day fluctuations in sunlight can lead to uncertainty in the volume of water pumped, directly impacting irrigation schedules and consequently crop yields. This study tackles these challenges head-on by developing a robust predictive framework that leverages both stochastic modeling techniques and insights drawn from nature-inspired algorithms.

The authors have proposed a novel approach that incorporates historical weather data to model the availability of solar irradiance, which is fundamental for the operation of solar water pumps. By utilizing a stochastic modeling framework, the researchers can account for the inherent uncertainties associated with solar energy generation. This model facilitates a more accurate prediction of the pumping availability over set periods, which is crucial for farmers relying on these systems.

Nature-inspired algorithms have gained considerable traction in recent years due to their effectiveness in solving complex optimization problems. Chundawat and his team employ these algorithms to refine their predictive model further, demonstrating their capability to adapt to changing environmental conditions. The integration of these algorithms allows for the optimization of system parameters, enhancing the overall efficiency of solar water pumping systems.

One of the study’s key findings is that the combination of stochastic modeling and nature-inspired algorithms significantly improves the accuracy of availability predictions when compared to traditional methods. This advancement paves the way for more reliable planning and management of agricultural water resources. Farmers can utilize these predictions to make informed decisions about irrigation schedules, thereby improving water conservation and crop resilience against drought conditions.

The implications of this research extend beyond individual farms, as the findings contribute to a broader understanding of how solar water pumping systems can be integrated into sustainable agricultural practices globally. In regions where water scarcity is a pressing issue, these findings can help governments and agricultural organizations to formulate policies that promote the adoption of solar-powered irrigation solutions.

Furthermore, the study highlights the importance of data collection and weather forecasting in enhancing the performance of solar water pumping systems. By establishing a comprehensive dataset of solar irradiance patterns and correlating this data with water pumping effectiveness, stakeholders can continuously monitor and adjust their systems according to real-time conditions. This proactive approach ensures that the irrigation process is both efficient and sustainable.

The potential for scalability is another facet of Chundawat and his team’s findings. The predictive model can be adapted and implemented in various regions, given that it is constructed upon data that could be collected in local contexts. This flexibility makes it a valuable tool for farmers around the world, as it provides the ability to tailor solar water pumping solutions to specific climatic and environmental conditions.

Moreover, the integration of technology such as artificial intelligence and machine learning into the prediction models represents a forward-thinking approach to addressing agricultural challenges. As these technologies evolve, they can be further refined to accommodate additional variables, enhancing the overall ability to forecast and manage resources within agricultural systems.

In a world increasingly aware of the need for sustainable practices, this research fuels the dialogue on how we can innovate to meet our food and water needs without compromising environmental integrity. By showcasing the potential of renewable energy sources like solar power in agricultural applications, the work of Chundawat and his team offers a glimpse into a greener future.

In conclusion, the availability prediction of solar water pumping systems represents a pivotal advancement in the integration of renewable energy into modern farming practices. Through their innovative use of stochastic modeling and nature-inspired algorithms, Chundawat, Kumar, and Saini are not only addressing the challenges of water scarcity but also paving the way for sustainable agricultural practices worldwide. Their work exemplifies how technology can harmonize with nature to create solutions for some of the most pressing challenges faced by humanity.

With the ongoing research and developments in this field, it will be exciting to see how these findings are applied in real-world scenarios and the potential enhancements in crop productivity and sustainability that can result from improved solar water pumping systems.

Subject of Research: Prediction of solar water pumping system availability using stochastic modeling and nature-inspired algorithms.

Article Title: Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms.

Article References:

Chundawat, J.S., Kumar, A. & Saini, M. Availability prediction of solar water pumping system through stochastic modeling and nature-inspired algorithms.
Discov Artif Intell (2026). https://doi.org/10.1007/s44163-025-00700-3

Image Credits: AI Generated

DOI: 10.1007/s44163-025-00700-3

Keywords: solar water pumping systems, stochastic modeling, nature-inspired algorithms, agricultural irrigation, renewable energy, predictive modeling, solar energy, water management, sustainability, crop yields, water scarcity.

The aviation sector, notorious for its carbon footprint, faces unprecedented scrutiny as global temperatures rise and public awareness on environmental issues escalates. This growing concern is pushing airlines and stakeholders to rethink their operations, prompting a shift towards sustainability. The authors assert that green leadership is not merely a trend but a necessity that drives the implementation of practices capable of reducing environmental impact across the entire spectrum of aviation.

Central to this discussion is the concept of green human resources management (GHRM), an innovative approach aimed at aligning HR practices with environmental sustainability. GHRM encompasses various strategies, from recruitment to training and employee engagement, all designed to foster an eco-conscious culture within organizations. The authors argue that for these practices to take root, they need a strong foundation of green leadership that espouses a vision of long-term environmental stewardship.

Leadership is one of the most significant determinants in the success of any organizational initiative, including GHRM. The role of leaders goes beyond merely setting policies; they must inspire and mobilize their teams towards a shared vision of sustainability. In their analysis, Widana and colleagues depict green leaders as those who embody the values of environmental responsibility and who actively instigate change within their organizations.

Moreover, these leaders must also engage with their employees to weave sustainability into the organizational fabric. By encouraging participatory decision-making processes, leaders can foster a culture of innovation where employees are empowered to contribute ideas nurturing environmental practices. Such a collaborative approach not only enhances employee morale but also leads to more creative and effective sustainability solutions.

Training and development are critical facets of GHRM that require particular attention. Employees need to be equipped with the knowledge and skills necessary to support sustainability initiatives. The authors emphasize that ongoing education concerning environmental issues, alongside training on sustainable practices, is essential for cultivating a workforce that is not only aware but also passionate about environmental stewardship.

In tandem with training and development, performance management systems must align with sustainability goals. Widana et al. highlight the importance of integrating sustainability metrics into employee performance evaluations to ensure that contributions to environmental goals are recognized and rewarded. This alignment encourages a sense of accountability and motivates employees to actively engage in sustainability efforts.

Communication also plays a pivotal role in the relationship between green leadership and GHRM. Leaders must prioritize transparent dialogue regarding environmental goals, challenges, and progress. By fostering an open environment where ideas and feedback are exchanged freely, organizations can build trust among employees, reinforcing their commitment to sustainability.

The behavior of leaders serves as a model for employees. When leaders actively participate in eco-friendly initiatives, convey their personal commitment to sustainability, and communicate the importance of these efforts, it fosters a culture where green practices are valued and prioritized. Leaders who can effectively communicate the tangible benefits of sustainability to both employees and stakeholders are more likely to foster an organization committed to environmental responsibility.

Interestingly, the challenges confronting green leadership in aviation are manifold, from resistance to change within established corporate cultures to the complexities of regulatory compliance. However, the research observed that overcoming these hurdles requires strategic vision and firm resolve. The authors suggest that leaders must adopt a change-oriented mindset, viewing challenges as opportunities to innovate and improve practices, rather than as obstacles.

Another vital aspect the authors dissect is the multi-layered impact of community involvement on green leadership. Engaging local communities and stakeholders can intertwine corporate sustainability initiatives with regional environmental efforts, enhancing both organizational and community resilience. By encompassing broader community support, airlines can improve public relations, thus creating a more favorable view of their commitment to sustainability.

The piece also underscores the importance of partnerships in driving sustainability forward. Collaborating with other organizations, including non-profits and governmental bodies, can amplify the impacts of green initiatives, pooling resources and expertise to address shared challenges. Such collaborations can manifest in many forms, from joint sustainability programs to knowledge sharing about best practices, thereby enhancing the collective journey towards eco-friendliness.

As we delve deeper into the future of sustainable aviation, it becomes increasingly apparent that the road ahead will not be without its obstacles. However, the proactive adoption of GHRM practices under strong green leadership can transform these challenges into powerful catalysts for change. The aviation industry stands at a critical juncture, and those who embrace sustainable practices will likely lead the pack in an ever-competitive market.

The authors conclude that the integration of green leadership within GHRM practices is not just beneficial but essential for the aviation industry’s sustainability journey. As the topic gains traction globally, the hope is that airlines will increasingly recognize the value of sustainability—not just as a regulatory obligation but as a profound opportunity for growth and innovation. The future of sustainable aviation is filled with potential, and it is driven by the visionary leaders who commit to the earth and its resources.

In summation, Widana, Faeni, and Basrowi’s research underscores a crucial call to action for the aviation industry. Embracing green leadership and GHRM practices can ensure that the growth of aviation aligns harmoniously with environmental stewardship. It is a relationship that promises not just enhanced reputation or compliance; it is one that secures the planet for future generations while revolutionizing the industry.

Subject of Research: The Role of Green Leadership in Green Human Resources Management Practices in Sustainable Aviation

Article Title: Correction: Sustainable aviation: the role of green leadership in green human resources management practices.

Article References:

Widana, I.D.K.K., Faeni, D.P. & Basrowi Correction: Sustainable aviation: the role of green leadership in green human resources management practices.
Discov Sustain 6, 1394 (2025). https://doi.org/10.1007/s43621-025-02456-3

Image Credits: AI Generated

DOI: 10.1007/s43621-025-02456-3

Keywords: Sustainable aviation, Green leadership, Green human resources management, Environmental sustainability, Corporate responsibility.

This innovative model operates on three essential steps: catchment delineation, reservoir delineation, and the computation of environmental parameters. At the heart of its methodology lies the integration of different geospatial layers that inform critical decision-making regarding water management and resource allocation. This process begins with the identification of the geometric footprints of reservoirs and their contributing catchments, yielding valuable data that can influence future infrastructural planning and climate strategy.

Specifically, catchment delineation relies upon detailed hydrological mapping, which incorporates global datasets like Hydrobasins, Hydrorivers, and the Hydrosheds Flow Accumulation datasets. These data sources offer critical insight into river networks and the flow characteristics necessary to optimize water resource management. Moreover, the integration of multiple datasets allows for robust analysis, providing clearer delineation of sub-basins involved in water flow—essential for accurate greenhouse gas emission estimations linked to dam constructions.

On the other hand, reservoir delineation methodologies differ based on the status of the infrastructure, providing a nuanced analysis of both planned and existing reservoirs. Planned reservoirs use hydrologically conditioned digital elevation models to predict inundation areas, while existing reservoirs depend on historical land cover maps. Such distinctions are vital, as they allow for more accurate assessments of environmental impacts based on the unique characteristics and operational phases of each reservoir.

The computational workflow further enhances the efficiency of this analysis, as it facilitates the quantifiable assessment of hydromorphological and climatic data, enabling researchers to analyze the emissions landscape influenced by these water bodies. By systematically intersecting geospatial layers, researchers can calculate essential metrics regarding the flux of greenhouse gases resulting from both the operational and ecological aspects of reservoirs.

A focal point of this research is the deployment of the RE-Emission model, which facilitates the estimation of greenhouse gas emissions derived from reservoirs. This tool stands out for its comprehensive design, incorporating variables that characterize reservoir properties and local environmental conditions. Structured around the G-res methodology, RE-Emission strengthens the analytical framework needed to address the multifaceted implications of hydropower development on regional ecosystems.

In evaluating the net anthropogenic greenhouse gas emissions associated with reservoirs, the G-res model focuses on several critical emission pathways, including both diffusive and bubbling emissions. The model estimates not just the emissions produced directly by reservoirs, but also considers the broader ecological footprint resulting from land use changes and nutrient inflows from surrounding human activities. Such strategic modeling ensures that stakeholders have access to the necessary information to make informed decisions aimed at reducing the carbon footprint of new infrastructures.

Additionally, the study presents critical insights into country-specific emission factors derived from a detailed regression analysis, which fine-tunes existing global data to meet local conditions. By applying this localized approach, the researchers can effectively calibrate emission factors to reflect the unique climatic zones characteristic of Myanmar and enhance the accuracy of emissions reporting.

The implications of these methodologies extend beyond data collection; they herald a new era of responsible planning in hydropower development. By prioritizing emissions modeling, policymakers and environmentalists can better evaluate the sustainability of proposed dam constructions, helping guide investments toward lower-emission alternatives. Thus, the research calls for a concerted effort to integrate environmental considerations into hydropower planning, advocating for the utilization of advanced emission models as standard practice.

The authors highlight the pressing need for a holistic vision that recognizes emissions management as integral to the design and operation of hydropower projects. Utilizing these datasets, including socio-economic and ecological considerations, allows for a multiobjective optimization approach that balances hydropower production with environmental stewardship. Such a framework will ultimately lead to more sustainable hydropower practices.

Furthermore, the research emphasizes the importance of incorporating explanatory artificial intelligence (xAI) tools into the decision-making process. By offering insights into how various factors influence greenhouse gas emissions, stakeholders can better understand the complexity of these interactions and make data-driven decisions that benefit both development and conservation efforts.

The promising findings from this research necessitate further collaboration between scientists, policymakers, and the public to foster an environmentally conscious approach to hydropower. As global energy needs rise, the insights gained from these innovative modeling endeavors will undoubtedly play a pivotal role in shaping future infrastructure projects, ensuring they align with sustainable practices that address climate change.

In conclusion, the ongoing analysis of reservoir and catchment dynamics underscores the vital importance of adopting advanced methodologies in planning hydropower development. By integrating high-resolution geospatial data with innovative emission modeling, researchers are paving the way for a more sustainable energy future, balancing the dual imperatives of development and environmental protection. The momentum generated by these advancements is likely to resonate throughout the industry, encouraging a reevaluation of how water resources are harnessed in a changing climate.

Subject of Research: Environmental impact of reservoir constructions

Article Title: Planning with emission models reduces the carbon footprint of new reservoirs

Article References:

Janus, T., Barry, C., Win, S. et al. Planning with emission models reduces the carbon footprint of new reservoirs.
Commun Earth Environ 6, 953 (2025). https://doi.org/10.1038/s43247-025-02899-6

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s43247-025-02899-6

Keywords: Reservoir emissions, greenhouse gas emissions, hydropower, sustainability, GeoCARET, RE-Emission, G-res model, environmental impact, hydrology, catchment analysis.

The significance of this research lies in its exploration of micro-grid systems, which are an intelligent response to the growing concerns over climate change and the increasing demand for reliable energy. Traditional energy systems are often plagued by inefficiencies and a heavy reliance on fossil fuels, leading to high carbon emissions. By utilizing a hybrid micro-grid, which integrates renewable energy sources with hydrogen production, we can significantly reduce our carbon footprint. This research not only underscores the technical feasibility of such systems but also highlights their potential to transform energy usage habits worldwide.

The study employs a comprehensive life cycle assessment (LCA) to evaluate the environmental impacts of the proposed hybrid micro-grid. LCA is a systematic methodology used to assess the environmental aspects and potential impacts associated with a product or service by compiling an inventory of relevant energy and material flows. Essentially, this research is a fascinating foray into determining how much energy is consumed at each stage of the micro-grid’s life cycle—from production through to eventual disposal. This granular evaluation allows researchers and policymakers to pinpoint critical areas where sustainability can be enhanced.

Hydrogen plays a pivotal role in this hybrid system. As a clean fuel, its ability to store energy efficiently makes it an excellent candidate for balancing supply and demand, especially in scenarios involving intermittent renewable sources like solar and wind. The production of hydrogen via electrolysis, using excess energy generated from renewables, transforms this isolated micro-grid into a robust energy storage solution. Thus, excess energy generated during peak productions can be stored as hydrogen, which can be converted back to electricity when renewable sources are insufficient.

One of the standout features of the research is its holistic approach to assessing both immediate and long-term environmental impacts. It doesn’t merely focus on operational emissions during the grid’s functioning but also considers emissions associated with the manufacturing and disposal of components, the environmental costs of land use, and water consumption associated with hydrogen production. This level of scrutiny is necessary to identify the most sustainable strategies for energy generation and distribution, especially in isolated regions where traditional infrastructures may be lacking.

A key takeaway from the assessment is the importance of local context when implementing hybrid micro-grids. Each geographical region presents unique environmental concerns, resource availability, and energy demands. As such, the study emphasizes the need for tailored energy solutions that consider local conditions and community needs. This nuance is vital for ensuring that the hybrid micro-grid model does not merely serve as a one-size-fits-all solution, but rather as adaptable frameworks for diverse environments.

The authors also advocate for further research into improving the efficiency of hydrogen production methods. Innovations such as advanced electrolysis technologies and renewable energy integration strategies could be game-changers in enhancing the overall performance of hybrid micro-grids. By investing in such technologies, there exists an opportunity to revolutionize our approach to renewable energy, making it more accessible and efficient for broader applications.

Economically, transitioning to hybrid micro-grids could lead to substantial cost benefits. The initial capital investment may be offset by long-term savings realized through decreased reliance on external, often volatile energy supplies. Furthermore, with the integration of local energy resources, communities can bolster their energy sovereignty, becoming less susceptible to price fluctuations and energy shortages. The potential for creating local jobs through the installation and maintenance of these systems presents a social benefit that must not be overlooked.

As the global population continues to grow, the pressures on existing energy infrastructures are mounting. The urgency for innovative and sustainable energy solutions has never been greater. The hybrid micro-grid model provides a compelling answer to these challenges, offering pathways to cleaner energy use while empowering communities. This research is not just about constructing a more sustainable energy system; it is about reimagining how society can interact with energy production and consumption.

The implications of the study extend beyond academia and into actionable policy-making. Governments worldwide are unveiling ambitious climate policies aimed at transitioning to greener energy systems. This research indicates that hybrid micro-grids could be instrumental in achieving these goals. Policymakers are encouraged to consider the findings in their strategic planning and investment decisions, as well as in engineering standards for energy generation technologies.

Moreover, the potential for hybrid micro-grids to contribute to energy resilience in the face of natural disasters cannot be overstated. Areas that are frequently impacted by environmental disruptions or those where conventional electrical grids are in poor condition can particularly benefit from localized energy solutions. The capability to generate and store energy independently ensures communities can maintain essential services even during challenging circumstances.

As we look to the future, the role of hybrid micro-grids will likely continue to expand. The study conducted by Tiwari, Schneider, and Azzaro-Pantel marks a significant step forward in understanding how these systems can be effectively developed and implemented. There is no doubt that ongoing research and innovation will be critical drivers in perfecting these technologies.

To sustain our planet and promote a habitable environment for future generations, collaborative efforts among researchers, governments, and private sectors are paramount. As the conversation around sustainable energy intensifies, we must remain committed to holistic and innovative approaches, such as those put forth in this research about hybrid micro-grids, paving the way toward a cleaner, more resilient energy future for all.

Furthermore, the emerging data on environmental impacts obtained through this study could inform educational campaigns and community engagement initiatives aimed at raising awareness about renewable energy’s benefits. By sharing these vital insights with the public, we can foster a broader understanding and acceptance of hybrid micro-grid technologies, ultimately driving their adoption and integration into everyday life.

As climate challenges press on, it is evident that sustainable energy practices are no longer a mere option but a necessity. The promise of hybrid micro-grids offers hope for a scenario where our energy demands are met while honoring the ecological limits of our world. The conscientious evaluation provided through life cycle assessments is essential in ensuring that we transition towards a future that respects both our communities and our planet.

In summary, the research on hybrid micro-grids by Tiwari, Schneider, and Azzaro-Pantel is a clarion call and a scientific guide for communities, policymakers, and researchers alike. It underscores the urgency of pursuing cleaner energy solutions, harnessing the potential of hydrogen, and adapting to local contexts while focusing on long-term sustainability outcomes. Together, these elements could reshape our energy landscape for generations to come.

Subject of Research: Life cycle assessment of an isolated hybrid micro-grid with hydrogen production and storage.

Article Title: Life cycle assessment of an isolated hybrid micro-grid with hydrogen production and storage.

Article References: Tiwari, R.N., Schneider, H., Azzaro-Pantel, C. et al. Life cycle assessment of an isolated hybrid micro-grid with hydrogen production and storage. Environ Sci Pollut Res (2025). https://doi.org/10.1007/s11356-025-36924-0

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s11356-025-36924-0

Keywords: hybrid micro-grid, life cycle assessment, hydrogen production, renewable energy, sustainable energy solutions.

Thermal energy storage (TES) systems can be generally classified into three categories: sensible heat storage, latent heat storage, and thermochemical storage. Sensible heat storage systems, the most prevalent type, utilize materials that absorb thermal energy resulting in a temperature increase; water and concrete are common examples due to their high thermal mass. In contrast, latent heat storage systems leverage phase change materials (PCMs) that absorb or release heat during phase transitions, allowing for more efficient energy storage with relatively smaller temperature fluctuations. The innovative use of such materials can play a crucial role in integrating renewable energy sources, particularly solar and wind, with the grids that serve urban areas.

One of the remarkable advancements in TES systems highlighted in the recent study is the increasing use of nanomaterials, which exhibit enhanced thermal conductivity. By incorporating nanoparticles into traditional storage mediums, researchers can significantly improve the rate at which energy is absorbed and released. This innovation does not merely increase efficiency; it also extends the operational range of these systems, allowing them to function effectively even under variable climatic conditions. With the potential to store energy for prolonged periods without significant losses, these systems can fundamentally change how we approach energy management.

Moreover, the research argues that advanced thermal energy storage systems can significantly bolster the viability of intermittent renewable energy sources. For instance, solar energy production peaks during midday, while electricity demand often rises in the evening. By employing thermal storage solutions, excess energy generated during sunny periods can be stored and utilized later when demand is high. This capability can mitigate the often-criticized intermittency associated with solar and wind energy, leading to a more reliable and consistent energy supply.

Simultaneously, the authors explore hybrid thermal energy storage systems that combine various storage technologies to optimize performance. By integrating sensible heat storage with latent heat and even thermochemical storage, these hybrid systems can achieve superior energy storage densities and efficiencies. This multi-faceted approach is an exemplary model of resourcefulness, allowing for enhanced customization based on specific usage requirements and local climatic conditions.

Furthermore, the research delves into the implications of these advanced systems in large-scale applications, such as district heating and cooling networks. By deploying centralized TES systems that utilize waste heat from industrial processes or communal power plants, cities can transform the way they distribute thermal energy. Such implementations not only improve energy efficiency at a macro level but also catalyze a transition towards more resilient and sustainable urban energy frameworks.

The study highlights that policy and regulatory frameworks play a crucial role in promoting the adoption of advanced thermal energy storage solutions. Governments worldwide are beginning to recognize the significance of supportive policies that encourage research and investments in thermal energy storage technologies. Initiatives such as grants, tax incentives, and subsidies for implementing sustainable technologies could dramatically enhance the economic feasibility of these systems, further accelerating their integration into existing energy infrastructures.

In addition to addressing climate change and enhancing energy reliability, advanced thermal energy storage systems also offer significant economic opportunities. As the world increasingly shifts towards renewable energy, industries involved in the production of thermal storage materials and technologies stand to benefit immensely. Not only does this represent a pathway for economic growth, but it also underscores the necessity for workforce development initiatives designed to equip individuals with the skills necessary for high-demand jobs in renewable energy sectors.

In conclusion, the ongoing research into advanced thermal energy storage systems underscores their critical role in achieving a sustainable energy future. These systems not only enhance the viability of renewable energy sources but also offer significant benefits related to energy efficiency, reliability, and economic growth. As society continues to grapple with rising temperatures and energy demands, the innovations proposed by Selvam, Cheralathan, and Suresh will undoubtedly be instrumental in shaping the energy landscape of tomorrow.

On a broader scale, the integration of advanced thermal energy storage systems into existing infrastructures signifies a monumental shift in energy management strategies. Organizations that embrace these innovations will likely not only rise to the challenges posed by climate change but will also achieve long-term energy security. In light of this research, it is clear that thermal energy storage is not merely a technical solution but a strategic imperative for sustainable development.

As further advancements in this field emerge, the global community will need to remain vigilant and proactive in embracing sustainable energy solutions. The promise of advanced thermal energy storage systems extends far beyond environmental benefits; it encompasses a vision for holistic energy systems that support economic vitality, technological innovation, and social equity, crucial components for a resilient future.

In summary, the journey towards sustainable thermal energy storage systems is characterized by rapid innovation and increasing relevance in the contemporary energy landscape. Understanding and harnessing these technologies will not only aid in addressing urgent climate challenges but also fortify the foundations for future energy strategies.

Subject of Research: Advanced Thermal Energy Storage Systems
Article Title: Advanced thermal energy storage systems for sustainable development
Article References: Selvam, C., Cheralathan, M. & Suresh, S. Advanced thermal energy storage systems for sustainable development. Environ Sci Pollut Res (2025). https://doi.org/10.1007/s11356-025-37216-3
Image Credits: AI Generated
DOI:
Keywords: Thermal energy storage, Renewable energy, Climate change, Energy efficiency, Sustainable development

As traditional industries in emerging economies grapple with outdated practices and significant waste production, the adoption of digital technologies offers a pathway towards improved efficiency and reduced environmental impact. By optimizing resource use through digital solutions, businesses can not only lower their carbon footprint but also enhance operational productivity. This dual benefit is crucial for economies where industrial expansion often occurs at the expense of environmental health.

One of the core arguments of the research is that digital platforms facilitate better data collection and analysis, which are essential for informed decision-making regarding environmental policies. In many emerging markets, a lack of reliable data has hindered effective governance and sustainable practices. Digital tools, such as big data analytics and IoT (Internet of Things) devices, can provide real-time information on resource use, emissions, and waste generation. This capability empowers policymakers and businesses to make more sustainable choices, aligning economic growth with environmental preservation.

The role of ICT in enhancing supply chain transparency is another critical focus of the study. In industries prone to environmental mishaps, such as textiles and agriculture, the ability to track and trace the origin of materials can lead to more sustainable sourcing practices. For instance, textile companies utilizing blockchain technology can ensure that their materials are sourced from environmentally friendly suppliers, thereby reducing the sector’s overall ecological footprint.

Moreover, the researchers emphasize the importance of digital literacy in enabling sustainable practices. As emerging economies become more integrated into the global digital economy, the need for a skilled workforce trained in digital skills becomes evident. Education systems must evolve to prioritize ICT training that encompasses sustainability principles. By doing so, the next generation of workers will be equipped to implement innovative solutions that address environmental issues.

The synergy between digital trade and sustainability initiatives extends to consumer behavior as well. The research highlights how e-commerce platforms can promote sustainable products and practices among consumers. By making eco-friendly options more accessible, digital marketplaces can drive demand for sustainable goods, prompting businesses to adapt their offerings. This shift in consumer preference not only benefits the environment but also encourages companies to innovate in their production processes.

In terms of policy implications, the authors suggest that governments in emerging economies must embrace a supportive regulatory framework that fosters digital innovation while prioritizing sustainability. Incentives for businesses that adopt environmentally friendly technologies can spur investment in green solutions. Furthermore, international cooperation is necessary to share best practices and technologies that can lead to a more sustainable future across borders.

The authors also stress the potential drawbacks and challenges associated with the digital transformation of industries. While technology offers numerous benefits, it also raises concerns about digital divides, where certain populations may lack access to the necessary tools and resources. Addressing this disparity is crucial to ensure that all segments of society can participate in the digital economy and benefit from sustainable practices. Failure to do so could exacerbate existing inequalities and hinder the overall effectiveness of sustainability initiatives.

Feedback loops between digital trade and sustainability create a dynamic where progress in one area influences the other. As emerging economies embrace digital solutions, they can foster innovative practices that reduce environmental impact, leading to a more sustainable economic model. This interdependence serves as a call to action for stakeholders, including governments, businesses, and civil society, to collaborate in creating a sustainable digital economy.

As the world grapples with climate change and resource depletion, the findings of Manglani, Kumar, and Sharma provide a glimmer of hope. By effectively harnessing digital and ICT trade, emerging economies can forge a new path that balances economic growth with environmental stewardship. The transition towards sustainability is not just a possibility but a necessity, one that hinges upon the collective efforts of every stakeholder involved in this intricate web of digital innovation and ecological consciousness.

Technological advancements alone cannot solve the complex environmental challenges faced by emerging economies. The research argues that a holistic approach that includes community engagement, robust governance, and innovative partnerships is essential. Local communities must be involved in the conversation around sustainability, ensuring that their voices and needs are heard as new technologies are implemented. This grassroots involvement is critical for fostering a culture of sustainability that resonates with the community’s values and aspirations.

Moreover, the authors call for increased investment in research and development to explore new technologies that can drive sustainability further. Governmental and private sector funding should be directed towards projects that leverage ICT for environmental benefits. As more resources are allocated to innovation, the potential for breakthroughs increases, leading to solutions that can address the pressing ecological crisis.

In conclusion, harnessing digital technologies and the ICT landscape presents a viable pathway for emerging economies to achieve environmental sustainability. The research by Manglani, Kumar, and Sharma emphasizes the critical role that these technologies play in transforming economic practices, while also addressing environmental concerns. By fostering an environment that prioritizes digital innovation and sustainability, emerging economies can create a future where economic growth does not come at the expense of the planet.

The journey ahead requires a multifaceted approach, blending economic, environmental, and social dimensions to unlock the full potential of digital and ICT trade. The opportunity is ripe, and the onus now lies on various stakeholders to act decisively in promoting a sustainable digital economy for future generations.

Subject of Research: Environmental sustainability through digital and ICT trade in emerging economies.

Article Title: Harnessing digital and ICT trade for environmental sustainability in emerging economies.

Article References:

Manglani, H., Kumar, M. & Sharma, A. Harnessing digital and ICT trade for environmental sustainability in emerging economies.
Discov Sustain 6, 1153 (2025). https://doi.org/10.1007/s43621-025-02029-4

Image Credits: AI Generated

DOI: 10.1007/s43621-025-02029-4

Keywords: environmental sustainability, digital trade, ICT, emerging economies, technological innovation.