Efficiency Of Waste Management Research Articles

IOT Garbage Monitoring System with Weight Sensing

This paper presents a novel approach towards efficient waste management utilizing Internet of Things (IoT) technology. The proposed system integrates garbage monitoring and weight sensing capabilities to create a smart waste management solution. Traditional waste collection methods are often inefficient and lack real-time monitoring, leading to overflows, environmental hazards, and unnecessary resource allocation. By employing IoT sensors embedded within garbage bins, real-time data on fill-level and weight can be collected and transmitted to a central server. AI calculations are applied to break down the information and predict future fill levels, optimizing waste collection schedules and routes. The system also includes a command-line interface available through web or mobile applications, enabling users to request timely pickups or report issues. Furthermore, the weight sensing functionality provides insights into the type and volume of waste being generated, facilitating better waste categorization and recycling initiatives. Field tests conducted in urban environments demonstrate the adequacy of the proposed system, reducing operational costs, minimizing environmental impact, and enhancing overall waste management efficiency. The coordination of IoT innovation with garbage monitoring and weight sensing represents a significant advancement towards sustainable and smarter cities

Autonomous Trash Tracking System

Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability among communities. Sensor-equipped trash cans strategically placed in public spaces communicate with the mobile app and municipal waste management systems via the Internet of Things (IoT), providing accurate, up-to-date data on bin statuses. This data-driven approach allows for dynamic optimization of waste collection routes, minimizing operational costs and environmental impact. Furthermore, municipalities can utilize real-time data insights to allocate resources efficiently, schedule maintenance based on usage patterns, and implement targeted educational campaigns. Overall, our technology-driven solution not only enhances efficiency in waste management but also contributes to reducing environmental pollution and promoting sustainable waste disposal practices. Keywords—Smart dustbins, proximity sensors, moisture sensors, App development, software and hardware integration

Factors Influencing Adherence to Hazardous Waste Management Policy Frameworks among Health Workers in Private Hospitals in Nairobi County – Kenya

Purpose: This study, therefore, sought to investigate the factors influencing the adherence to hazardous waste management guidelines among healthcare workers in private hospitals in Nairobi County. The specific objectives of the study included; determining the level of adherence to proper HCWM practices among health workers, identifying the individual related factors that influence adherence to proper HCWM practices among health workers, and identifying the health facility-related (institutional) factors that influence adherence to proper HCWM practices in 4 selected hospitals in Nairobi County Kenya. From the population of 900 healthcare workers from 4 levels 4 facilities, random sampling was applied to identify the 90 respondents. Methodology: Data analysis and reporting was done using appropriate quantitative methods. Findings: The findings from this study show that the level of adherence to hazardous waste management policies among healthcare workers in private level four hospitals in Nairobi County is low. Despite the high level of awareness by the health workers on the important measures of collection, segregation, treatment, transportation and disposal of waste, the level of performance on the same is low. This is greatly attributable to negligence and unfavorable attitude towards healthcare waste management practices among healthcare workers. Unique contribution to theory, policy and practice: Based on the study findings, we would recommend the improvement of hazardous waste management efficiency.

Assessment of the Level of Adherence to Hazardous Waste Management Policy Frameworks among Health Workers in Private Hospitals in Nairobi County - Kenya

Purpose: This study, therefore, sought to assess the level of adherence to hazardous waste management guidelines among healthcare workers in private hospitals in Nairobi County. From the population of 900 healthcare workers from 4 levels 4 facilities, random sampling was applied to identify the 90 respondents. Methodology: Data analysis and reporting was done using appropriate quantitative methods. Findings: The findings from this study show that the level of adherence to hazardous waste management policies among healthcare workers in private level four hospitals in Nairobi County is low. Despite the high level of awareness by the health workers on the important measures of collection, segregation, treatment, transportation and disposal of waste, the level of performance on the same is low. This is greatly attributable to negligence and unfavorable attitude towards healthcare waste management practices among healthcare workers. Unique contribution to theory, policy and practice: Based on the study findings, we would recommend the improvement of adherence of hazardous waste management efficiency.

Institutional Factors Influencing Adherence to Hazardous Waste Management Policy Frameworks among Health Workers in Private Hospitals in Nairobi County – Kenya

Purpose: This study, therefore, sought to investigate the institutional factors influencing the adherence to hazardous waste management guidelines among healthcare workers in 4 selected hospitals in Nairobi County Kenya private hospitals in Nairobi County. From the population of 900 healthcare workers from 4 levels 4 facilities, random sampling was applied to identify the 90 respondents. Methodology: Data analysis and reporting was done using appropriate quantitative methods. Findings: The findings from this study show that the level of adherence to hazardous waste management policies among healthcare workers in private level four hospitals in Nairobi County is low. Despite the high level of awareness by the health workers on the important measures of collection, segregation, treatment, transportation and disposal of waste, the level of performance on the same is low. This is greatly attributable to negligence and unfavorable attitude towards healthcare waste management practices among healthcare workers. Unique contribution to theory, policy and practice: Based on the study findings, we would recommend the improvement of hazardous waste management efficiency.

Innovative technology for converting automobile tire waste bead wires into recycled steel fibers for sustainable concrete composites: insights for the Al-Kharj Governorate construction industry

PurposeThe initiative for sustainability in the construction industry has led to the innovative utilization of automobile tire waste, transforming it into value-added products, toward decarbonization in the construction industry, aligning with the development and sustainability goals of Al-Kharj Governorate. However, the disposal of these materials generates significant environmental concerns. As a payoff for these efforts, this study aims to contribute to a fruitful shift toward eco-friendly recycling techniques, particularly by studying the transformation of tire waste bead wires into recycled steel tire fibers (RSTFs) for sustainable concrete composites.Design/methodology/approachThis research delves into how this technological transformation not only addresses environmental concerns but also propels sustainable tire innovation forward, presenting a promising solution for waste management and material efficiency in building materials. Recent studies have highlighted the superior tensile strength of RSTFs from discarded tires, making them suitable for various structural engineering applications. Recently, there has been a notable shift in research focus to the use of RSTFs as an alternative to traditional fibers in concrete. In this study, however, efforts have paid off in outlining a comprehensive assessment to investigate the viability and efficacy of repurposing tire bead wires into RSTFs for use in concrete composites, as reported in the literature.FindingsThis study examined the Saudi waste management, the geometrical properties of RSTFs, and their impact on the strength properties of concrete microstructure. It also examined the economic, cost, and environmental impacts of RSTFs on concrete composites, underscoring the need for the construction industry to adopt more sustainable and adaptable practices. Furthermore, the main findings of this study are proposed insights and a blueprint for the construction industry in Al-Kharj Governorate, calling for collective action from both public and private sectors, and the community to transform challenges into job opportunities for growth and sustainability.Originality/valueThis study pointed to thoroughly demonstrate the technological advancement in converting tire waste to reinforcing fibers by evaluating the effectiveness, environmental sustainability, and practicality of these fibers in eco-friendly concrete composites. Besides, the desired properties and standards for RSTFs to enhance the structural integrity of concrete composites are recommended, as is the need to establish protocols and further study into the long-term efficacy of RSTF-reinforced concrete composites.

The determinants of municipal solid waste management efficiency in EU countries

The main purpose of this paper is to assess the municipal solid waste management (MSWM) efficiency of European Union countries and to identify the determinants of this efficiency before and after introducing Directive (EU) 2018/851. The research was conducted for 23 EU Member States in order to analyse the two highest-priority waste treatment methods (material recycling and energy recovery) and the level of greenhouse gases emitted by the waste management sector. The data for 2015-2020 were extracted from the Eurostat database. The period of data was divided into two sub-periods: 2015-2017 (the period before introducing the Directive) and 2018-2020. MSWM efficiency scores were calculated using the DEA method. Later, the Tobit Regression Model (TRM) was applied to identify the determinants. The efficiency analysis showed that the countries which joined the EU before 2000 improved their MSWM efficiency in 2018-2020 compared with 2015-2017. On the other hand, the average efficiency scores of the countries that joined the EU after 2000 decreased. In 2015-2017, the following determinants of MSWM efficiency occurred to be statistically significant: population density, unemployment rate, the number of patents and the tourism intensity index, while in 2018-2020: population density, unemployment rate, Research & Development (R&D) expenditure, higher education proportion and MSW generated. A detailed analysis of these variables showed that the countries that joined the EU after 2000 should first increase their R&D expenditure and support their inhabitants in increasing their educational level.

Agro-industrial waste management employing benefits of artificial intelligence.

By 2050, the world's population is predicted to reach over 9 billion, which requires 70% increased production in agriculture and food industries to meet demand. This presents a significant challenge for the agri-food sector in all aspects. Agro-industrial wastes are rich in bioactive substances and other medicinal properties. They can be used as a different source for manufacturing products like biogas, biofuels, mushrooms, and tempeh, the primary ingredients in various studies and businesses. Increased importance is placed on resource recovery, recycling, and reusing (RRR) any waste using advanced technology like IoT and artificial intelligence. AI algorithms offer alternate, creative methods for managing agro-industrial waste management (AIWM). There are contradictions and a need to understand how AI technologies work regarding their application to AIWM. This research studies the application of AI-based technology for the various areas of AIWM. The current work aims to discover AI-based models for forecasting the generation and recycling of AIWM waste. Research shows that agro-industrial waste generation has increased worldwide. Infrastructure needs to be upgraded and improved by adapting AI technology to maintain a balance between socioeconomic structures. The study focused on AI's social and economic impacts and the benefits, challenges, and future work in AIWM. The present research will increase recycling and reproduction with a balance of cost, efficiency, and human resources consumption in agro-industrial waste management.

Vision-Based On-Site Construction Waste Localization Using Unmanned Aerial Vehicle.

In the context of construction and demolition waste exacerbating environmental pollution, the lack of recycling technology has hindered the green development of the industry. Previous studies have explored robot-based automated recycling methods, but their efficiency is limited by movement speed and detection range, so there is an urgent need to integrate drones into the recycling field to improve construction waste management efficiency. Preliminary investigations have shown that previous construction waste recognition techniques are ineffective when applied to UAVs and also lack a method to accurately convert waste locations in images to actual coordinates. Therefore, this study proposes a new method for autonomously labeling the location of construction waste using UAVs. Using images captured by UAVs, we compiled an image dataset and proposed a high-precision, long-range construction waste recognition algorithm. In addition, we proposed a method to convert the pixel positions of targets to actual positions. Finally, the study verified the effectiveness of the proposed method through experiments. Experimental results demonstrated that the approach proposed in this study enhanced the discernibility of computer vision algorithms towards small targets and high-frequency details within images. In a construction waste localization task using drones, involving high-resolution image recognition, the accuracy and recall were significantly improved by about 2% at speeds of up to 28 fps. The results of this study can guarantee the efficient application of drones to construction sites.

Waste-Based Vertical Planting System Proposal to Increase Productivity in Sustainable Horticulture; “PETREE”

The problems experienced with the decrease in agricultural areas per capita against the uncontrolled population growth in the World and in Turkey are becoming increasingly evident. Especially the manpower engaged in horticulture is increasingly experiencing the problems of migration, economic reasons, and inefficient production methods. For healthy and efficient production, agricultural lands need a sequential cycle that includes cultivation and fallow periods. Agricultural lands, the salt they contain, etc. When left fallow, the soil area needs to rest to re-establish the mineral balance. It is now vital for small producers, whose production areas are gradually shrinking due to global conditions, to continue production while their lands are resting to produce more continuously and efficiently. In the face of increasing demands, decreasing production amounts and areas, the constantly increasing prices of economically simple agricultural products “fresh vegetables” and affecting the easy accessibility of local products, it has become inevitable to seek new and alternative solutions. This study includes an innovative solution proposal to increase the production efficiency of low-scale producers and individual gardeners, especially those producing in small agricultural areas. Critical problems of large-scale greenhouse systems, interactions of agricultural practices within the framework of urban life, water and energy efficiency in agriculture, and sustainability and waste management of the proposed system are examined. To meet changing conditions and maintain productivity in small areas, it is envisaged that mobile and vertical production stations, which can produce by increasing productivity even in fallow areas while the soil is resting, can be an alternative solution to the problems of small producers. The vertical planting system “PETREE” develops mobile units for sustainable agriculture by collecting 5th LT-PET packages, which have a natural lifespan of about 90 years, and reusing them as plant pots and some recycled plastic pieces as structures. With efficient and environmentally friendly design suggestions, the system also examined the possibilities of more efficient gardening with mobile production stations in small agricultural areas, and efficient and enjoyable gardening that suits the needs of urban consumers “production with local seeds and seedlings” with the increase in environmental awareness and food safety concerns.

Implementing Biodigester Technology for Sustainable Waste Management in Mojokerto City, Indonesia

Mojokerto City, located in East Java, grapples with a steadily rising waste generation trend accentuated by the COVID-19 pandemic. Drawing data from the National Waste Management Information System (SIPSN) and supplemented with an exhaustive literature review, this study scrutinizes the potential of biodigester technology as a solution to this mounting challenge. Mojokerto's waste, consistent in its composition from 2019 to 2022, is dominated by food waste, making it an ideal candidate for biodigester intervention. The study revealed that existing biodigester facilities in Mojokerto vary in their waste reduction efficiencies yet collectively demonstrate the viability of converting food waste to energy. For instance, the TPS 3R Magersari Berseri facility showcased an impressive waste reduction rate of 85.0%, processing 62.05 tons out of 73 tons of waste received annually. Comparative analyses of other facilities like TPS 3R Pulorejo "Cahaya Berseri" and TPS 3R Muria Berseri were also conducted, revealing varying degrees of efficiency. These facilities underscore the potential of biodigester technology in managing the rising tide of waste and contributing to sustainable energy generation. The findings of this study also call for increased awareness about food conservation, improved waste segregation at the source, and the promotion of composting and other organic waste processing methods, thereby optimizing the overall efficiency of waste management in the city.

Анализ возможности повторного использования и переработки строительных отходов на этапе создания информационной модели здания

The article discusses the possibility of reusing and recycling construction waste in the early stages of building design. The use of Building Information Modeling (BIM) to solve problems of systematizing information about the possibility of reusing and recycling construction waste allows us to solve ecological problems of a construction project, including the issues of choosing ecological friendly and sustainable materials for the implementation of design solutions, as well as increasing the efficiency of construction waste management.

Domestic Solid Waste Management in Tho Nghiep Commune, Xuan Truong District, Nam Dinh Province: Current Status and Solutions

This article presents research results on the current status and proposes solutions to improve the efficiency of domestic solid waste (DSW) management in Tho Nghiep commune, Xuan Truong district, Nam Dinh province. The survey was conducted for 170 households and the results show that 40.59% of households process a part of DSW by themselves (=equivalently 10.8% of total DSW) while the rest is transferred to the commune's garbage collection team. The other 59.41% of the households transfer all the solid waste to the commune's waste collection team for treatment at the centralized area. The average volume of DSW released in the whole commune is about 5.5 tons/day, collected with a frequency of three days/week. The collected solid waste is further classified and treated at the commune's incinerator treatment zone by Truong Phat Agricultural Service and Green Environment Cooperative. The environmental assessment of Tho Nghiep DSW treatment area was conducted in November 2022. The results from the incinerator exhaust gas samples showed that four out of five parameters (including SO2, CO, NOx, HCl) are below the allowable standards, only one out of five parameters (Total dust) are higher than the allowable standard of QCVN 61-MT:2016/BTNMT on DSW incinerators. For the surface water samples taken at the southern infield ditch of the incinerator, all eight parameters (pH, BOD5 (at 20oC), COD, TSS, NH4+, NO3-, PO43-, Coliforms) were below permissible standard of QCVN 08-MT:2015/BTNMT on surface water quality. Based on these results, a few proposed solutions have been identified to improve the effectiveness of DSW management in the study area.

Examining the Indonesia Bureaucracy Response and Problem in Pandemic Times: A Preliminary Diagnostic Study

The assessment of waste management policies within the Environmental Agency of Palu City has been governed by Regional Regulation No. 11 / 2013, which pertains to the management of garbage. Nevertheless, the implementation of this regional regulation has proven to be ineffective, namely in relation to the problem-solving element. By analyzing the goals, objectives, and contents, it can be inferred that the regional regulation is designed to address the waste issue in Palu City. The objective of this study was to assess the waste handling and management strategy implemented in Palu City with regards to its adherence to the Adipura standards. The employed research methodology was descriptive in nature and falls within the qualitative paradigm. The analysis employs William Dunn’s theory, as evidenced by the utilization of policy criteria such as effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The findings indicated that the waste treatment and management policy in Palu City with regards to Adipura was suboptimal. The failure of Palu City to secure the Adipura title in 2022 is evident. This observation demonstrates that the efficiency of waste management has not been fully realized. The process of landfill rubbish disposal in the Kawatuna landfill had not been concluded at the time of the assessment. Furthermore, the optimization of waste management in every urban village is yet to be achieved. The incomplete fulfillment of the budget allocated for waste management stands as the primary cause for this circumstance, with approximately 60% of the funds being disbursed. This observation demonstrates that the allocation of funds for trash management has not been commensurated, as there still remain several villages lacking the necessary means of transport.
 Keywords: policy, waste management, Adipura

Green Symphony: A Brief Review of Waste Segregation Techniques

Proper waste segregation poses challenges like insufficient awareness, inadequate infrastructure, and limited resources. In this study, we've scrutinized five waste segregation methods employing IoT, Arduino, Deep Learning, Machine Learning, and Artificial Intelligence. The IoT-based system utilizes sensors, and cameras to identify diverse waste types, transmit data to the IoT module, and activate sorting mechanisms like robotic arms [1]. This leads to remote monitoring, and automated waste sorting, fostering efficient recycling. An advanced garbage monitoring system with sensors and an Arduino Uno detects waste types, monitors garbage levels, and issues alerts when bins are full, contributing to waste management efficiency [2]. DL is integrated into the system, categorizing waste images using CNNs, and employing transfer nearest neighbor algorithm predicts waste management alerts based on three sensors, automating notifications to authorities with a 93.3% accuracy rate [3]. AI-driven waste segregation models, particularly for non-biodegradable plastics, reduce waste management costs, achieving over 80% accuracy in sorting plastics. The culmination is the (WSD) model [5], incorporating IoT, Arduino, ML, DL, and AI. Utilizing sensors and imaging devices, this model generates real-time data for efficient monitoring and sorting, featuring a K-nearest neighbor algorithm with 93.3% accuracy and DL precision in material classification. The WSD model provides an automated and eco-friendly solution, reducing manual labor and improving recycling practices for effective waste management. Advanced technology-based techniques like the WSD model offer solutions, emphasizing the importance of choosing technologies aligned with available resources and infrastructure for optimal impact.

Revolutionizing Urban Waste Management in San Francisco: The Role of Technology-Driven Solutions in Advancing Circular Economy Practices

This study analyses the impact of technology-driven solutions on urban waste management within the U.S. circular economy, focusing on San Francisco as a case study. San Francisco's waste management system, characterized by its innovative use of technology, robust policy frameworks, and active community engagement, serves as a model for understanding the implementation and challenges of sustainable urban practices. The research employs a case study methodology, relying on a comprehensive review of secondary data sources, including official reports, academic literature, and statistical data. The findings reveal that while technological advancements, such as advanced sorting systems, composting technologies, and waste-to-energy initiatives, significantly enhance waste management efficiency, they also bring challenges in terms of financial and infrastructural constraints. The study underscores the importance of supportive policy frameworks and community engagement in facilitating the success of these initiatives. Despite its successes, San Francisco’s approach highlights key challenges, including maintaining technological advancement and ensuring community participation. The study concludes that the integration of technology in waste management, underpinned by strong policies and community engagement, is crucial in advancing circular economy goals. The insights from San Francisco’s experience provide valuable lessons for other cities aiming to implement similar sustainable waste management practices.

Toward Greener Smart Cities: A Critical Review of Classic and Machine-Learning-Based Algorithms for Smart Bin Collection

This study critically reviews the scientific literature regarding machine-learning approaches for optimizing smart bin collection in urban environments. Usually, the problem is modeled within a dynamic graph framework, where each smart bin’s changing waste level is represented as a node. Algorithms incorporating Reinforcement Learning (RL), time-series forecasting, and Genetic Algorithms (GA) alongside Graph Neural Networks (GNNs) are analyzed to enhance collection efficiency. While individual methodologies present limitations in computational demand and adaptability, their synergistic application offers a holistic solution. From a theoretical point of view, we expect that the GNN-RL model dynamically adapts to real-time data, the GNN-time series predicts future bin statuses, and the GNN-GA hybrid optimizes network configurations for accurate predictions, collectively enhancing waste management efficiency in smart cities.

STUDY OF OPTIMALIZATION SOLID WASTE OF REFUSE DERIVES FUEL (RDF) AT LANDFILL GRIYO MULYO, SIDOARJO DISTRICT

Sidoarjo Regency in East Java grapples with a waste crisis, producing 1,086 tons/day in 2022, escalating annually due to urbanization. In response, Griyo Mulyo Landfill adopts Refuse Derived Fuel (RDF) technology, transforming waste into pellets for sustainable energy. This comprehensive waste management strategy not only addresses the increasing waste generation but also contributes to sustainable energy production, aligning with environmental and energy efficiency goals for the district. Aims: This study was aimed to assess the potential for waste reduction using Refuse Derived Fuel (RDF) technology in Sidoarjo Regency, East Java. Methodology and results: the focus of this study was on implementing RDF to convert waste into pellets, thereby reducing landfill reliance and transforming waste into a renewable energy source. The study involved analyzing the composition of waste entering the Griyo Mulyo Landfill Sidoarjo, revealing a significant portion of biodegradable, plastic, paper, and other materials. By determining the optimal RDF composition and estimating calorific values, the research aimed to provide insights into effective waste management strategies. Conclusion, significance and impact study: Analyzing the waste composition entering the landfill revealed optimal RDF components, emphasizing the potential for waste reduction and renewable energy production. The proposed inclusion of EM4 bioactivators in biodrying at Griyo Mulyo landfill promises accelerated decomposition, enhancing overall waste management efficiency. Significantly, this research offers practical insights for sustainable waste management in rapidly urbanizing regions, providing policymakers, waste authorities, and environmentalists with valuable strategies to mitigate the environmental impact of increasing urbanization. The potential impact extends to cleaner energy sources and influences waste management policies, fostering eco-friendly practices in Sidoarjo and beyond.

Efektivitas Produksi Biogas Mini Dari Limbah Dapur (KW) Dan Kotoran Sapi (CM)

Biogas is renewable energy. It is a free gas produced from kitchen waste (KW) and cow dung (CM). This can be used as an effective tool for households and communities to manage waste intelligently and use renewable energy. This is free gas produced from KW and CM. The effectiveness of mini biogas from KW and CM includes efficiency in waste management, energy generation, environmental benefits, cost effectiveness and socio-economic impact. The technology provides long-term answers to challenges, leading to a greener and more sustainable future. The use of biogas has emerged as a promising alternative energy source in efforts to find sustainable and environmentally friendly solutions. It is a flexible fuel produced through Anaerobic Digestion (AD) of organic materials as a waste management tool. Mini biogas generators demonstrate a feasible and effective process in converting waste streams into useful energy by exploiting the potential of natural recycling systems. It is also a colorless, flammable gas mixture produced from organic waste products. The methane (CH4) content contributes 50-70 percent and carbon dioxide (CO2) in the biogas composition. The total volume of gas we obtained was 73 ml, the combined percentage was 73%, and the presence of CH4 gas in the mixture was effective with the flame. It can be used for cooking and power generation, and process waste is recycled as the Sustainable Development Goals (SDGs) advance.

Evaluation of the efficiency of urban solid waste management in Brazil by data envelopment analysis and possible variables of influence

AbstractThis article has the general objective of estimating the efficiency of urban solid waste management in 940 Brazilian municipalities through Data Envelopment Analysis (DEA) technique and has specific objectives: (i) to estimate efficiency scores; (ii) to compare the performance between different groups of municipalities; and (iii) to analyze the profile of efficient municipalities from the perspective of the guidelines of Law 12,305/2010 and socio-economic and environmental indicators. The technique used was DEA with output-oriented and variable scale to return modeling. The results showed higher efficiency scores in the municipalities with populations above 500,000 inhabitants. The score variation ranged from 0.5 (municipalities with populations <10,000 inhabitants) to 0.9 (municipalities with more than 500,000 inhabitants). Of the sample set, only 12.34% of the municipalities were considered efficient, and when analyzing the efficient group, it was found that adherence to legislation was not a major factor in achieving efficiency. Graphical abstract