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A systems perspective of waste management allows an integrated approach not only to the five basic functional elements of waste management itself (generation, reduction, collection, recycling, disposal), but to the problems arising at the interfaces with the management of energy, nature conservation, environmental protection, economic factors like unemployment and productivity, etc. This monograph separately describes present practices and the problems to be solved in each of the functional areas of waste management and at the important interfaces. Strategies for more efficient control are then proposed from a systems perspective. Systematic and objective means of solving problems become possible leading to optimal management and a positive contribution to economic development, not least through resource conservation. India is the particular context within which waste generation and management are discussed. In considering waste disposal techniques, special attention is given to sewage and radioactive wastes.

This study aims to propose an electronic waste collection and classification system to enhance social, environmental and economic sustainability by integrating data-driven technologies in emerging economies.

GM (1, 1) model under grey prediction is used in this study in order to estimate the trend of the amount of collected electronic waste in emerging economies.

It is revealed that the amount of collected electronic waste is increasing day by day, and within the framework of sustainability in the process of collecting and classification of electronic waste, digital technologies were found to be lacking. It has been determined that this deficiency, together with the increasing amount of electronic waste, has caused environmental, social and economic damage to emerging economies.

The main originality of this study is integrating electronic waste collection and classification processes with data-driven technologies and sustainability, which is a relatively new subject.

This study identifies barriers faced by online e-waste collection platforms in India and proposes a novel approach to manage strategies that contribute towards making such online platforms economically, socially, and environmentally sustainable by mitigating their interacting barriers.

The approach consists of a barrier assessment process and a strategy evaluation and planning process. The barrier assessment process uses multiple criteria decision making (MCDM) based method to evaluate the interactive effects of the barriers to derive their direct and indirect impacts on sustainability. The strategy evaluation and planning process evaluates the overall contribution value of strategies for mitigating interacting barriers and then categorizes them into planning zones based on their contribution and feasibility.

The interaction among the barriers is a significant component of the overall impact of the barriers on sustainability. The most impactful barriers are the lack of dissemination of information, lack of government support, insufficient infrastructure, and awareness and attitude of consumers. Lack of government support is the most influential causal barrier. Lack of information dissemination is a significant causal barrier with the highest overall impact on sustainability. Priority strategies that must be implemented to ensure sustainability include government support, offering higher prices or discounts for giving up e-waste, and increasing information dissemination.

Different from existing approaches for evaluating sustainability strategies, the strategies in this study are identified and evaluated based on their overall contribution towards mitigating interacting barriers to sustainability. The approach is applied in the Indian context to reveal the most influential barriers to the sustainability of online e-waste collection platforms and the most effective strategies for mitigating these barriers. The outcomes of this study contribute to strategy planning for sustainable online e-waste collection platforms in India.

Rapid economic growth and urbanization in India have increased demand for municipal services. In response, privatization has emerged as a policy solution to a growing deficit in urban infrastructure and service provision. But, privatization assumes prior state ownership of those services. Certain waste management services, specifically doorstep waste collection, have never been truly public in the sense that private informal actors have historically provided them. The purpose of this paper is to examine the tensions and contradictions between two related policy imperatives – universal service provision and privatization – that appear to be guiding the municipalization of solid waste collection services in urban India.

Research for this paper relies on detailed analysis of key government documents (reports of various committees, regulations and laws) that have been important in defining municipal responsibilities for waste management in India from 1990 to 2016. In addition, where appropriate, research materials from the author’s doctoral dissertation fieldwork in Delhi from October 2012 to December 2013 have also been used.

An analysis of key policy documents revealed that the government’s efforts to document deficits in service provision ignored, and thus rendered invisible, the work of the informal sector. While a consensus on the need for universal waste collection service had emerged as early as the late 1990s, it was not until 2016 that municipal responsibility for service provision was codified into law. The rules issued in 2016 municipalized this responsibility while simultaneously opening up spaces for the inclusion of the informal sector in waste collection service provision.

This paper fills a gap in the existing literature on how policy interventions have brought the space of the doorstep into the ambit of the state such that it allows for the opening up of those spaces for the entry of private capital. Under the guise of universal service provision, the shift to municipalization and outsourcing to private corporations is not in fact privatization – service provision is already private – but involves the dispossession of informal workers and the transfer of their resource to the formal, corporate sector.

This study aims to evaluate the generation of food waste in a university and the handling efficiency of an automatic waste collection system.

The quantity of food waste generated and collected from a university canteen was surveyed. The food waste handling efficiencies using manual collection strategy and automated food waste collection system were determined by the density of food waste. Life-cycle costing analysis was done to evaluate the economic impacts of various food waste collection methods.

As compared with the manual collection approach, the automatic system can improve the food waste handling efficiency by 30% (from 0.01 to 0.007 bin kg⁻¹) and reduce the water use by 20% (from 0.512 to 0.406 L kg⁻¹); however, it also consumes 4.4 times more energy (from 0.005 to 0.027 kWh kg⁻¹). Under ideal system operation, the 10-year cost of food waste collection was significantly reduced from $3.45 kg⁻¹ in the manual collection to $1.79 kg⁻¹, and the payback period of the system collection was 1.9 years without discount.

The outcomes of this study show that an automatic food waste collection system is feasible, and it is recommended for small- and medium-sized catering facilities (e.g. canteens and food courts) to improve food waste handling efficiency. This study also provides useful reference data of automatic food waste collection systems for planning food waste management programs for catering facilities.

To the best of the authors’ knowledge, this is the first study to evaluate the waste handling efficiency, operational expenditure and life-cycle cost of a small-scale automatic food waste collection system.

The purpose of this study is to solve the problem of healthcare waste management in developing countries. The buildup of medical waste has attracted the attention of all spheres of society due to the expanding population and developing economy. Timely collection and processing of medical waste are extremely important due to its potential hazards. Although the problem of planning medical waste management has been addressed in developed countries, it persists in several developing countries. This research is motivated by an example of a city in India characterized by a dense population, abundant health-care facilities and a lack of planning for managing large medical waste generated daily.

The authors address the problem of designing the network of collection and processing facilities for medical waste and optimizing the vehicle route that collects and transfers the waste between facilities. Due to distinct topographic restrictions in the considered city, the collection and transfer process needs to be conducted in two echelons – from hospitals to collection centers using smaller vehicles and then to the processing facilities using trucks. This work addresses these two problems as a two-echelon location-routing problem.

A mixed-integer programming model is developed to minimize the cost of opening the facilities and transporting medical waste. Several managerial insights are drawn up to assist planners and decision-makers.

This study follows a case study approach to provide a descriptive and prescriptive approach to hospital waste management in the ancient city of Varanasi. The city has witnessed unplanned growth over the years and is densely populated. The health-care facilities in the city have a large catchment area and attract patients from neighboring districts. The situation analysis based on secondary data and unstructured interviews of the stakeholders suggests that the ad hoc approach prevails in present hospital waste management in the city.

The main aim of this study is to understand the role of smart technologies and show the rankings of various smart technologies in collection and classification of electronic waste (e-waste).

This study presents a framework integrating the concepts of collection and classification mechanisms and smart technologies. The criteria set includes three main, which are economic, social and environmental criteria, including a total of 15 subcriteria. Smart technologies identified in this study were robotics, multiagent systems, autonomous tools, smart vehicles, data-driven technologies, Internet of things (IOT), cloud computing and big data analytics. The weights of all criteria were found using fuzzy analytic network process (ANP), and the scores of smart technologies which were useful for collection and classification of e-waste were calculated using fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR).

The most important criterion was found as collection cost, followed by pollution prevention and control, storage/holding cost and greenhouse gas emissions in collection and classification of e-waste. Autonomous tools were found as the best smart technology for collection and classification of e-waste, followed by robotics and smart vehicles.

The originality of the study is to propose a framework, which integrates the collection and classification of e-waste and smart technologies.

The study aims to explore how young consumers perceive and adopt the online e-waste collection platform, by developing a conceptual framework that integrates the theory of planned behavior, the technology acceptance model and the perceived risk. Based on conceptual framework, the study further identifies factors that positively or negatively influence the Chinese millennials' decision on the use of online collection platform.

The study conducts a questionnaire survey from 807 Chinese millennials living in urban and rural areas. Based on the collected data, the partial least squares structural equation modeling (PLS-SEM) is employed to conduct PLS path modeling and multi-group analysis.

The study results support the proposed conceptual framework and confirm its robustness in investigating Chinese millennials' intentions to adopt online e-waste collection platform. The findings suggest that the perceived usefulness, perceived ease of use, attitude, subjective norms and perceived behavioral control have positive impact, while perceived risk has negative impact on the behavioral intentions of millennials on the adoption of the platform.

With the emergence of Internet technology, online e-waste collection platform has arisen as an innovative and alternative solution to improve environmental sustainability by encouraging e-waste collection through formal recycling channels in China. In order to divert the consumers from informal recycling channels to online e-waste collection platform, it is necessary to understand what factors impact the adoption of this platform among consumers. The study provides theoretical contribution and practical implications relevant to regulators and practitioners to encourage the adoption of online e-waste collection platform.

Production of waste has been increased exponentially due to world industrialization and urban and machine life expansion. On the other hand, the outbreak of the COVID-19 coronavirus quickly became a global crisis. This crisis has added a large amount of waste to urban waste. The purpose of this study is to create cooperation between municipal waste collector contractors.

Thus, a mathematical model is proposed under uncertain conditions, which includes the volume of municipal waste and infectious waste including personal protective equipment and used equipment for patients. To reduce total costs, the results are evaluated with four cooperative game theory methods such as Shapley value, t value, core center and least core. Ultimately, the saved cost by cooperation in each coalition is allocated fairly among the contractors. Finally, a comparison was made between the solution methods based on the value of the objective function and the solution time.

The results indicate that the proposed cooperative method increases cost savings and reduces the fine of residual waste. Therefore, it can be mentioned that this kind of cooperation would finally result in more incentives for contractors to form larger coalitions. Genetic algorithms were used to solve the large-scale model.

The proposed model boosts the current understanding of waste management in the COVID-19 pandemic. The paper adds additional value by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.

This paper examines how accounting concepts were utilised in domestic waste collection services in Ireland over the past two decades or so. In comparison to other former “free” services in the Irish context, the prevalence of accounting concepts has been greater and delivered a more successful outcome.

Drawing on the concepts of calculation, the “economic” and economization, events around domestic waste policy in Ireland are examined, and the increasing prevalence of concepts such as price, cost and profitability in these processes are a focal point. Publicly available documents such as government policy documents, parliamentary records and media reports are utilised to draw out these concepts. The period of analysis is 1996–2018.

The findings reveal the role of accounting concepts in the economization of domestic waste policy in Ireland. The result of the economization process was a fully privatised, profit-oriented, price-monitored system.

This research provides a broad view of accounting concepts in the management of domestic waste. It highlights how waste policy in Ireland travelled through instances of being political and economic over time. The research is limited by its use of secondary data.

This study highlights how accounting concepts were used in varying ways to bring about a satisfactory solution to domestic waste disposal in Ireland, namely the privatisation of waste services.