Sustainable Resource Management Research Articles

Leveraging tokenization in blockchain-based circular economy: A paradigm shift towards sustainable resource management

Utilizing blockchain technology and circular supply chain management can bring about significant changes in achieving sustainability and enhancing resource utilization. This study highlights the significant role of tokenization in promoting sustainable resource management within blockchain-based circular supply chains. Tokenization provides a secure and efficient way to digitize assets, creating incentives, and facilitating efficient exchange within these supply chains. The paper explores in detail the benefits of tokenization, including faster transaction settlement, cost savings, democratization of access, transparency enhancement, and reduced infrastructure costs. It emphasizes that tokenization is a pivotal tool for promoting the transition towards a circular economy model. The study also acknowledges the challenges and limitations of tokenization, including regulatory issues, interoperability, and standardization challenges, among others, and provides recommendations for effective implementation. Overall, the paper highlights the potential of tokenization to revolutionize how we exchange ideas, information, and money through blockchain-based circular supply chains and emphasizes its significance in promoting sustainable resource management.

Research on Employee Green Behavior from the Perspective of Sustainable Human Resource Management: The Role of Diversity, Inclusion, and Well-being

Enterprises are increasingly prioritizing social and ecological issues, cultivating sustainable Human Resource Management (HRM), and focusing on the sustainability of both people and the environment to achieve overall Sustainable Development Goals (SDGs). This study primarily draws on green HRM, selecting four key variables, including organizational diversity and inclusion, employee well-being (EWB), work stress, and employee green behavior (EGB), focusing on Chinese enterprises. This study employs quantitative research and Structural Equation Modelling (SEM) analysis to explore the relationships among these variables, aiming to promote internal green behavior within organizations and achieve SDGs. Data were collected from a randomly selected sample, resulting in a valid sample size of 453 questionnaire responses after data cleaning. The research found that organizational diversity and inclusion have a positive impact on EWB and EGB. There is also a positive correlation between EWB and EGB. However, organizational diversity and inclusion are negatively related to work stress, and work stress is negatively related to EGB. EWB and work stress mediate the relationship between organizational diversity, inclusion, and EGB. This study deepens the understanding of the relationship between diversity, inclusion, well-being, and green behavior, providing new directions for future research, and offering pathways for organizations to improve their environment and EWB to promote social sustainability.

Do ICT and green technology matter in sustainable development goals?

AbstractThe desire for development in developed and developing countries has caused difficulties in realizing environmental goals. For this reason, initiatives such as Sustainable Development Goals have been taken to balance economic growth and environmental goals. Recent research from a sustainable development perspective has shown that skilled human capital, green technology, and ICT play an essential role in the sustainable management of natural resources. In this context, the present study aims to reveal the impact of natural resource rent, economic complexity, human development, green technological innovation, and ICT on ecological footprint. It also focuses on the moderating role of green technological innovation and ICT in the relationship between natural resource rent and ecological footprint. The findings show that natural resources and ICT are the causes of environmental degradation in G7 countries, whereas economic complexity, human development, and green technological innovation improve environmental quality. It has also been discovered that ICT and green technological innovation have a moderating role in the natural resources of G7 countries. In E7 countries, natural resource rent and economic complexity increase environmental degradation, whereas human development, ICT, and green technological innovation contribute to environmental quality. Causality findings are similar in both country groups. The findings show that synergies between SDG‐4 and SDG‐13 in G7 and E7 countries can help achieve climate action sustainably and effectively. Moreover, achieving SDG 13 in E7 countries requires interactive policies to achieve SDG‐12 and SDG‐17. Achieving SDG‐8 and SDG‐17 targets in G7 countries can contribute to combating climate change.

Participatory Environmental Governance and Payments for Environmental Services: the Strategic Role of Universities

Objective: The objective of this study is to investigate the integration of Participatory Environmental Governance into Payment for Environmental Services (PES) programs, with the aim of proposing a theoretical model that actively involves universities as facilitators in this process. Theoretical Framework: The theories of Participatory Environmental Governance and the Payment for Environmental Services model are highlighted, providing a solid foundation for understanding the research context. Method: A theoretical and qualitative approach is used. The study involves a review of existing literature on PES and Participatory Governance, followed by a discussion of the limitations of current models and the proposal of a new framework for the proposed integration. Results and Discussion: The results revealed the potential effectiveness of Participatory Environmental Governance in improving the equity and sustainability of PES programs. The relationships between community participation, universities, and the success of PES are highlighted. Research Implications: The implications of this research can be applied to public policies and environmental management practices. These implications may encompass areas such as environmental education, conservation policies, and the role of universities in sustainability. Originality/Value: This study contributes to the literature by proposing a novel integration between Participatory Environmental Governance and PES programs, highlighting the strategic role of universities. The relevance and value of this research are evidenced by its potential application in different contexts, promoting more participatory and sustainable natural resource management.

Geological factors in the sustainable management of mine water heating, cooling and thermal storage resources in the UK

Re-use of the UK's coal mine water heating, cooling and thermal storage resource is increasing in scale and the number of schemes. The upward trajectory requires 3D planning, regulation and licensing to manage sustainable deployment. We review geological factors controlling thermal and flow processes in the anthropogenically-altered subsurface, critical for resource management with multiple users of the same space. Potential interactions of mine water geothermal schemes with the wider environment are also summarized, leading towards concepts of 3D mine water thermal blocks, protection zones, or management strategies integrating heating, cooling and storage demands. Factors such as the magnitude, extent and timescale of thermal processes to underpin management approaches are poorly quantified by data measured at-scale under varying pumping rates and thermal loads. We demonstrate early insights of how two infrastructures, the UK Geoenergy Observatory in Glasgow and the Coal Authority's Mine Water Heat Living Lab in Gateshead, can measure and monitor heat-flow processes in real world settings to provide an evidence base. For example, a thermal storage test at Glasgow showed rapid temperature changes in the rock and mine workings at the re-injection borehole and indicated an influence of lithologically-controlled transmissivity and thermal conductivity on temperature dissipation and recovery.

Large pelagic fish exploitation by longliners in the Atlantic Ocean and Mediterranean Sea: A contribution to spatial planning and sustainable fisheries

Understanding longline fisheries dynamics is crucial for sustainable resource management. This study aims to provide a panorama of the fishing effort of the principal nations that have exploited tuna and associated species in the Atlantic Ocean for the past decade, integrating vessel data from Global Fishing Watch (GFW) and catch data from the International Commission for the Conservation of Atlantic Tunas (ICAAT), with specific information on the production of these different fleets and resources. Twelve nations represented 94.6 % of all Apparent fishing hours (AFH) of the total effort in the Atlantic Ocean and 99.9 % of all catches in the last years. Our study revealed that regions proximate to the continental shelf break and oceanic islands exhibit notably higher fishing effort than other areas within the Atlantic Ocean. We also highlight a declining trend in fishing efforts in the last ten years, likely due to regulation and overfishing. The blue shark (Prionace glauca) was the most caught species in biomass, representing 38.1 %; bigeye tuna (Thunnus obesus) represented 20.5 %; swordfish (Xiphias gladius) 15.1 %; albacore tuna (Thunnus alalunga) 11.3 %, and yellowfin tuna (Thunnus albacares) 6.1 %. The alarming trends in pelagic shark catch emphasise the need for immediate conservation actions. Management strategies should target critical nations, addressing their significant contributions to shark catch. The lack of information on several species and periods highlights the need for comprehensive research and management initiatives.

Epoxy composite dust reinforced novel polypropylene composites: An eco‐friendly approach toward sustainable resource management

AbstractThis study presents an innovative technique for recycling leftover epoxy composites reinforced with natural fillers. The waste epoxy composites were successfully ground into a 75–150 μm fine powder. With the aid of extrusion injection molding, this powder was subsequently utilized to create polypropylene matrix‐based polymer composites with variable filler loadings ranging from 10% to 30%. The mechanical, thermal, thermomechanical, and morphological properties of the developed composites were assessed. The greatest tensile strength of the polypropylene composites produced with 10% filler loading was found to be 24.15 MPa. The addition of epoxy composite filler increased the thermal stability. During morphological investigations, it was discovered that pits, voids, and filler agglomerations predominated the fractured surface of the developed composites. Overall, it can be concluded that there is a lot of promise for value‐added recycling of thermosetting resin‐based composites using this low‐cost, high‐efficiency, and ecologically benign process, which would lessen the environmental impact of plastic.Highlights Novel polypropylene composites using epoxy composite dust was developed. Mechanical, thermal, thermomechanical, and morphological studies were performed. Toys, tableware, mementos, and furniture can be the potential applications. The developed composites can reduce plastic load on the environment.

A Quantitative Particle-Based Approach for the Geometallurgical Assessment of Tailings Deposits

Tailings generated during ore processing may host significant residual contents of valuable commodities, including critical metals. The particle properties of the tailings, such as mineralogy, particle size, and the surface liberation of ore minerals, strongly control processing behaviour. This study explores a novel combination of methods for incorporating particle data, derived from automated mineralogy, into geometallurgical models of tailings deposits to better understand their reprocessing potential and the economic feasibility of re-mining. This was achieved through binning of different particle types, geostatistical modelling of particle bin frequencies, and bootstrap resampling to reconstruct particle populations. The spatial distributions of processing-relevant particle properties throughout the tailings deposit were predicted with corresponding uncertainties. There are clear systematic trends in the spatial distributions of different particle types, resulting from the sedimentary-style deposition of the tailings. For instance, the tailings nearer the dam walls comprise coarser, silicate-rich particles, while fine-grained and well-liberated sulphide mineral particles are more abundant in the centre of the tailings deposit. As a result, robust models could be developed for the spatial distributions of particle size and mineralogy, which strongly control the sorting of particles during deposition, and other related properties, such as sulphide mineral grain sizes. Finally, a bulk sulphide flotation process was simulated and acid mine drainage potential estimated using the interpolated particle data. Around 58% of the sulphide minerals present could be recoverable by flotation, with the recoverable sulphide portion decreasing towards the centre of the TSF due to the fine-grained nature of the sulphide minerals. The acid mine drainage potential of the tailings is estimated to be moderate to high, indicating that the carbonate minerals present are not sufficient to neutralise the high acid-generating potential of the sulphide minerals. Overall, this study demonstrates how particle-based geometallurgical models can be developed and utilised for practical applications, with the aim of improving the accuracy of resource and reserve estimations of tailings deposits and the sustainable and responsible management of anthropogenic resources. The methodology proposed here can be easily transferred to other tailings deposits.

Unraveling Complexity: Exploring Agricultural Systems as Complex Adaptive System with a Focus on the Konya Closed Basin

The study of complex adaptive systems (CAS) has garnered significant attention across interdisciplinary research, particularly within the realms of social and natural sciences. This paper delves into the multifaceted nature of CAS, exploring its definitions, components, and properties, drawing from various scholarly perspectives. It examines the agricultural sector as a prime example of a CAS, highlighting the interactions, adaptations, and emergent behaviors within farming communities. Using the Konya Closed Basin in Türkiye as a case study, the paper elucidates how agricultural landscapes exemplify the complexities inherent in CAS, underscoring the intricate interplay between human activities, environmental dynamics, and socio-economic factors. By recognizing these interactions, decision-makers can create more efficient and resilient strategies for managing water resources, enhancing crop production, and reducing the effects of climate variability. This comprehensive approach emphasizes the role of adaptation, self-organization, and emergent behaviors in promoting sustainable farming practices and maintaining ecological balance over the long term. Through this analysis, the paper contributes to a deeper understanding of CAS and its implications for sustainable agricultural development and resource management.

Hydraulic and Hydrogeochemical Characterization of Carbonate Aquifers in Arid Regions: A Case from the Western Desert, Egypt

Using geochemical and pumping test data from 80 groundwater wells, the chemical, hydrologic, and hydraulic properties of the fractured Eocene carbonate aquifer located west of the Al-Minya district, the Western Desert, Egypt, have been characterized and determined to guarantee sustainable management of groundwater resources under large-scale desert reclamation projects. The hydrochemical data show that groundwater from the fractured Eocene carbonate aquifer has a high concentration of Na+ and Cl− and varies in salinity from 2176 to 2912 mg/L (brackish water). Water–rock interaction and ion exchange processes are the most dominant processes controlling groundwater composition. The carbonate aquifer exists under confined to semi-confined conditions, and the depth to groundwater increases eastward. From the potentiometric head data, deep-seated faults are the suggested pathways for gas-rich water ascending from the deep Nubian aquifer system into the overlying shallow carbonate aquifer. This mechanism enhances the dissolution and karstification of carbonate rocks, especially in the vicinity of faulted sites, and is supported by the significant loss of mud circulation during well drilling operations. The average estimated hydraulic parameters, based on the analysis of step-drawdown, long-duration pumping and recovery tests, indicate that the Eocene carbonate aquifer has a wide range of transmissivity (T) that is between 336.39 and 389,309.28 m2/d (average: 18,405.21 m2/d), hydraulic conductivity (K) between 1.31 and 1420.84 m/d (average: 70.29 m/d), and specific capacity (Sc) between 44.4 and 17,376.24 m2/d (average: 45.24 m2/d). On the other hand, the performance characteristics of drilled wells show that well efficiency ranges between 0.47 and 97.08%, and well losses range between 2.92 and 99.53%. In addition to variations in carbonate aquifer thickness and clay/shale content, the existence of strong karstification features, i.e., fissures, fractures or caverns, and solution cavities, in the Eocene carbonate aquifer are responsible for variability in the K and T values. The observed high well losses might be related to turbulent flow within and adjacent to the wells drilled in conductive fracture zones. The current approach can be further used to enhance local aquifer models and improve strategies for identifying the most productive zones in similar aquifer systems.

Where has hydrogeologic science been, and where is it going? Research trends in hydrogeology publishing over the past 60 years

AbstractQuantifying historical research trends in the field of hydrogeology is not only generally informative for hydrogeologists but is essential for fostering interdisciplinary collaboration and assessing the relationship between academic study and societal interests in hydrogeologic issues. To address this, a topic model was applied to over 37,000 academic abstracts published in over 20 journals between 1963–2022 in the field of hydrogeology to study the evolution of topic trends through time. Model results were fed into the popular large-language model ChatGPT to assign topic names, representing an unsupervised method. The results indicate that, historically, popular topics related to methodological development and analytical and numerical models analytical and numerical methods in groundwater flow modeling and well hydraulics have given way to topics related to more increasingly complex models (groundwater monitoring and uncertainty estimation and groundwater modeling calibration and simulation) as data and computational capability becomes increasingly available. An insight into the period of boom-and-bust in contaminant hydrogeology is reflected by a shift in focus from topics related to assessment and characterization of contaminant sources toward topics related to degradation and remediation methods. Topics of emerging prevalence (sustainable groundwater resource management, catchment hydrology and runoff processes) in the current period reflect an increasing focus on treating the surface-water/groundwater system as a single system. In addition, results suggest that topic distribution within the field of hydrogeology has become more varied as time has progressed.

Systems Modeling of the Water-Energy-Food-Ecosystems Nexus: Insights from a Region Facing Structural Water Scarcity in Southern Spain.

The complex relationship between water, energy, food, and ecological systems, known as the WEFE nexus, has emerged as a major topic in the debate about sustainable economic development and resource management. This subject is of special interest in Mediterranean coastal areas as rapid economic expansion driven by population growth, higher influx of tourists, and intensification of agriculture is leading to structural water scarcity conditions. However, addressing the diverse range of issues associated with the nexus is a difficult task due to the existence of intricate interconnections, interdependencies, and nonlinearities within and across its various components. Accordingly, this case study applies a combination of participatory systems modeling and network analysis tools to yield insights into the complexity of this nexus in Axarquia, a region with features that make it an example of water-stressed jurisdictions in the Mediterranean. Overall, our results provide a strong foundation to understand the dynamics that govern this nexus in regions where the availability of freshwater resources is a significant concern. Furthermore, they lay the groundwork for the development of models and scenarios to simulate the impact of various policies and interventions on the overall system.

A Fully Connected Neural Network (FCNN) Model to Simulate Karst Spring Flowrates in the Umbria Region (Central Italy)

In the last decades, climate change has led to increasingly frequent drought events within the Mediterranean area, creating an urgent need of a more sustainable management of groundwater resources exploited for drinking and agricultural purposes. One of the most challenging issues is to provide reliable simulations and forecasts of karst spring discharges, whose reduced information, as well as the hydrological processes involving their feeding aquifers, is often a big issue for water service managers and researchers. In order to plan a sustainable water resource exploitation that could face future shortages, the groundwater availability should be assessed by continuously monitoring spring discharge during the hydrological year, using collected data to better understand the past behaviour and, possibly, forecast the future one in case of severe droughts. The aim of this paper is to understand the factors that govern different spring discharge patterns according to rainfall inputs and to present a model, based on artificial neural network (ANN) data training and cross-correlation analyses, to evaluate the discharge of some karst spring in the Umbria region (Central Italy). The model used is a fully connected neural network (FCNN) and has been used both for filling gaps in the spring discharge time series and for simulating the response of six springs to rainfall seasonal patterns from a 20-year continuous daily record, collected and provided by the Regional Environmental Protection Agency (ARPA) of the Umbria region.

High-resolution mapping of grassland canopy cover in China through the integration of extensive drone imagery and satellite data

Canopy cover is a crucial indicator for assessing grassland health and ecosystem services. However, achieving accurate high-resolution estimates of grassland canopy cover at a large spatial scale remains challenging due to the limited spatial coverage of field measurements and the scale mismatch between field measurements and satellite imagery. In this study, we addressed these challenges by proposing a regression-based approach to estimate large-scale grassland canopy cover, leveraging the integration of drone imagery and multisource remote sensing data. Specifically, over 90,000 10 × 10 m drone image tiles were collected at 1,255 sites across China. All drone image tiles were classified into grass and non-grass pixels to generate ground-truth canopy cover estimates. These estimates were then temporally aligned with satellite imagery-derived features to build a random forest regression model to map the grassland canopy cover distribution of China. Our results revealed that a single classification model can effectively distinguish between grass and non-grass pixels in drone images collected across diverse grassland types and large spatial scales, with multilayer perceptron demonstrating superior classification accuracy compared to Canopeo, support vector machine, random forest, and pyramid scene parsing network. The integration of extensive drone imagery successfully addressed the scale-mismatch issue between traditional ground measurements and satellite imagery, contributing significantly to enhancing mapping accuracy. The national canopy cover map of China generated for the year 2021 exhibited a spatial pattern of increasing canopy cover from northwest to southeast, with an average value of 56 % and a standard deviation of 26 %. Moreover, it demonstrated high accuracy, with a coefficient of determination of 0.89 and a root-mean-squared error of 12.38 %. The resulting high-resolution canopy cover map of China holds great potential in advancing our comprehension of grassland ecosystem processes and advocating for the sustainable management of grassland resources.

Plant extract mediated in-situ synthesis of iron/manganese alginate hydrosphere and its excellent recovery of rare earth elements in mine wastewater

The recovery of rare earth elements (REEs) is a major issue based on environmental governance and sustainable resource utilization. In this study, we developed a novel hydrogel material (Fe/Mn@ALG) by anchoring Fe/Mn NPs on alginate spheres, where Fe/Mn NPs were in-situ synthesized using Euphorbia cochinchensi leaf extract as reduced and protection agents. The Fe/Mn@ALG was applied directly to real mine wastewater, generating efficient and selective recovery of REEs with the coexistence of numerous competing metal ions. As results have shown, Fe/Mn@ALG was a useful adsorbent for REEs with an adsorption efficiency 78.62 % achieved, which was also confirmed by distribution coefficients (Kd), up to 2451.66 mL·g−1. Furthermore, Fe/Mn@ALG exhibited preferential response to REEs over other metal ions with the separation factor (SF) being up to 240. This great adsorption performance and selectivity toward REEs were attributed to its specific surface area, oxygen-rich functional groups and negatively charged surface in acid wastewater. Furthermore, REEs could be greatly desorbed from Fe/Mn@ALG with output concentration being three times higher than the initial concentration. Additionally, Fe/Mn@ALG maintained its good adsorption performance with efficiency reaching 72.24 % after five reuses. Overall, Fe/Mn@ALG can be considered as a promising candidate for wastewater remediation and sustainable management of resources.

The Evolution of Learning Transfer and Training Development in Achieving Sustainable Human Resource Management: A Bibliometric Review

This research analyzes the evolution of learning transfer and training development in achieving sustainable human resource management (SHRM), an important part of achieving the 2030 SDGs target. The analysis was completed using a bibliometric review method of 161 articles in the Scopus database. The findings show that 454 authors from various developed and developing countries have contributed to this topic. Research on learning transfer and training development started in 1992 and continues to grow, but it was initially focused on achieving organizational performance. There is a shift in the purpose of learning transfer and training development which is now focused on achieving SHRM (HRM on financial, social, environmental, and organization) characterized by the keywords "natural resource management", "mental health", "healthcare", "female", which shows the importance of learning transfer and training development in achieving SDGs 3 (mental and well-being) and SDGs 4 (gender equality), as well as maintaining a balance of production and consumption through managing natural resources relevant to SDGs 12 and 13. Learning and training in the environmental aspect are interesting to research, indicated by the highest citation achievement in green human resource and green training articles with 184 citations. Learning transfer and training development also focus on technology training, such as cybersecurity and blockchain training. Furthermore, general topics such as learning and training to improve innovation, job satisfaction and organizational culture are still discussed.

Dynamics of Public Participation on Sustainable Resource Management in County Government of Kericho, Kenya

Sustainable resource management involve managing resources in a way that their sources are not depleted; so that the future generations can also benefit from it. Africa is endowed with diverse and abundant natural resources and stands at a critical juncture where responsible and sustainable management of these resources is paramount for the continent's development. The Kenyan governments (national-level and county-level) recognize the need for sustainable resource management for the good of the citizens. In devolved government units in Kenya, sustainable resource management is a critical. This study sought to assess the dynamics of public participation on sustainable resource management in county government of Kericho, Kenya. The study was guided by Resource-based view theory, administrative theory, transformational leadership theory and the theory of Planned Behaviour. This study adopted a pragmatism approach that took a practical and flexible approach, focusing on the usefulness and applicability of research findings, rather than an all-or-nothing, mutually exclusive philosophical position. A descriptive research design with a mixed method of quantitative and qualitative data collections was adopted. The target population of the study comprised a total of 213 senior, middle and lower level management staff of the county government of Kericho. The Stratified random sampling was used to develop a sample from different management groups. A sample of 139 management staff was selected using Slovin’s formula. Reliability of the study was ensured by conducting a pilot study in the neighbouring County Government of Nakuru while context, content and criterion validity were ascertained by the researcher in the field of study. Quantitative data was analysed using descriptive statistics which described the nature of ethical leadership and sustainable resource management. Inferential statistics (Pearson’s correlation and regression analysis) were used to determine the nature of influence between the variables. This was done with the help of Statistical Package for Social Sciences (SPSS) version 25. Qualitative data was analysed by themes and content analysis. The study findings revealed that, public participation had a statistically significant influence on sustainable resource management. The study concluded that there exists a strong and significant relationship between public participation (r=0.832 and p=0.000) and sustainable resource management in Kericho County, Kenya. The study recommends that in order to enhance public participation members of the public should be empowered by giving the information and documents containing information on development activities and legislations that require their input in advance so that they know and understand what they are coming to do in public forums.

Cumulative effects of natural and anthropogenic processes on groundwater chemistry of a small karst island—case study of Vis (Croatia)

Many coastal and island communities depend on groundwater as the only source of freshwater, making it an invaluable resource. In the Mediterranean region, groundwater resources are highly vulnerable to natural and anthropogenic pressures, such as overexploitation, climate change, seasonal variations in precipitation, and seawater intrusion. Hence, an understanding of hydrogeological processes and groundwater chemistry is a basis for the sustainable management of coastal and island groundwater resources. Vis, a small and remote karst island in the Adriatic Sea, exhibits peculiar geological and hydrogeological settings, resulting in the island’s autonomous water supply. The current pumping capacity (maximum of 42 l/s) meets most of the demand, but intensive summer tourism and climate change exert high stress on groundwater resources during the dry season. Consequently, in the last decade, occasional reductions for consumers occurred. Monitoring of in situ physicochemical parameters and groundwater sampling for chemical and isotopic analyses were conducted from 2020 to 2023 at deep borewells, shallow dug wells, and springs. Hydrochemical interpretation indicated that groundwater chemistry was affected primarily by carbonate and sulfate rock dissolution, mixing with seawater, reverse ion exchange, and dedolomitization. The majority of groundwater samples exhibit Ca–HCO3 hydrochemical facies, followed by Na–Cl and mixed facies. The low percentage of seawater in the mixture indicated that seawater intrusion is not too extensive even during prolonged dry periods, implying a favorable hydrostatic regime with relatively small but sufficient groundwater reserves of the island’s aquifers, although the investigated period was characterized by significantly lower precipitation with respect to the 30-year average.

The Relationship Between Sustainable Human Resource Management and Green Human Resource Management- A Case of Medical Sector in Hyderabad, India

Background: Human Resource Management (SHRM) and Green Human Resource Management (GHRM) are the subjects of this investigation of their interplay in Hyderabad, India's industrial sector. There is a growing need to include eco-friendly practices into HRM due to the increased global focus on sustainability in medical industry. Aim: Sustainable The study's overarching goal is to deduce how green HRM (GHRM) programs and SHRM practices—which prioritize the well-being of employees and the longevity of organizations—are compatible with one another. Method: The study surveyed 409 medical employees in Hyderabad using a quantitative research approach based on questionnaires and the data was analysis using SMART PLS. Results: There is a strong positive relationship between SHRM and GHRM, according to the results, thus businesses that use thorough SHRM are also more likely to use GHRM strategies that work. Human resource managers can help promote a sustainable culture, gain a competitive edge, and advance environmental goals by implementing the sustainable and green practices suggested in the study's conclusion. Conclusion: The study adds to the expanding corpus of literature on sustainable business practices and have important implications for industrial policy and practice.

Analysis of fishing intensity in the South China Sea based on automatic identification system data: A comparison between China and Vietnam

AbstractObjectiveRecently, the South China Sea has been facing a crisis of depleted fishery resources, primarily due to the impacts of illegal, unreported, and unregulated fishing activities, as well as overfishing. Accurately understanding the fishing activity intensity in the South China Sea holds significant implications for the sustainable management of fisheries resources.MethodsLeveraging the automatic identification system trajectory data from 2018, this paper employs spatial statistical methods and fishing effort indicators to comparatively analyze the spatial variations in fishing intensity between Chinese and Vietnamese fishing vessels.ResultThe results of this study show that (1) in 2018, the total fishing effort of Chinese fishing vessels in the South China Sea was 7.65 times that of Vietnamese vessels, but during China's South China Sea fishing moratorium, the fishing effort exerted by Vietnamese vessels surpassed that of China and (2) the top 10 ports in China and Vietnam support approximately 30% and 55.13% of their respective fishing intensities in the South China Sea.ConclusionThe study highlights significant variations in fishing intensity between Chinese and Vietnamese vessels and the substantial support provided by major ports. These findings offer valuable insights for fisheries resource monitoring and maritime spatial planning, contributing to the sustainable management of the South China Sea's fisheries resources.