Scenario of future e-waste generation and recycle-reuse-landfill-based disposal pattern in India: a system dynamics approach

Dasgupta, Dipsikha; Debsarkar, Anupam; Hazra, Tumpa; Bala, B. K.; Gangopadhyay, Amitava; Chatterjee, Debasish

doi:10.1007/s10668-016-9815-6

Cited by 48 publications

(22 citation statements)

References 31 publications

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“…The informal recycling sector keeps flourishing in countries like India owing to the excellent network of waste pickers, their door-to-door collection mechanism and predominant consumers' disposal behaviour. As argued by Dasgupta, Debsarkar et al (2017), three factors -1) usage patterns of different electronic equipments, 2) generation of E-waste and 3) its disposaltogether shape an intricate issue where consumers choose to attain some kind of benefits from the disposal pattern like recycling or reuse. Addressing all these three factors is essential to ensure responsible E-waste management mechanisms in a country like India.…”

Section: Introductionmentioning

confidence: 99%

The journey from products to waste: a pilot study on perception and discarding of electronic waste in contemporary urban India

Borthakur

Singh

2020

Environ Sci Pollut Res

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During the recent past, electronic waste (E-waste) has emerged as a major category of toxic waste in both global North and global South. Particularly, the emerging economies such as India is a major contributor to the E-waste volume in the world today. Accordingly, we attempted to carry out this study to evaluate the journey of equipments from 'electronic products' to 'electronic waste' in the city of New Delhi in India. The purpose was to carry out an exclusive pilot study with the potential to replicate the same at a larger scale in major Indian metropolis which are mostly the hubs of intense E-waste generation. The case of mobile phones (both smartphones and feature phones) was considered as the key representative. A structured questionnaire survey was carried out with 334 purposively selected respondents in the city of New Delhi. Among several other noteworthy findings, we observed that there exists a gap among purchase behaviour of mobile phones, awareness on E-waste and disposal behaviour of these phones. For instance, the relatively high knowledge/awareness about E-waste is yet to be reflected in consumers' responsible purchase and disposal behaviour. We argue that creating awareness among citizens is central to a sustainable E-waste management system and effective policy instruments.

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Section: Introductionmentioning

confidence: 99%

The journey from products to waste: a pilot study on perception and discarding of electronic waste in contemporary urban India

Borthakur

Singh

2020

Environ Sci Pollut Res

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“…Making informed decisions for reducing water consumption, energy use and carbon emissions Cox et al, 2017 Providing complement to traditional land use and transportation models in the regional planning process Dasgupta et al, 2017 Delineation of guideline for policy orientation concerning e-waste towards protection of human health and environment Ercan et al, 2017 Projecting the impacts of U.S. transportation system Fang et al, 2017 Analysing the sustainable development capacity under different scenarios Faust et al, 2017 Enabling the assessment of interdependencies between human and water sector infrastructure systems with parameters tailored to a city's unique characteristics Fu et al, 2017 Simulating and predicting spatiotemporal city-level net carbon emissions Geng et al, 2017 Enabling an analysis of variations in land use intensity under different scenarios Ghasemi et al, 2017 Stimulating management strategies dealing with Tehran metropolitan water resources system Guzman and Orjuela, 2017 Evaluating the impacts of possible policy interventions on transport sector and transport related emissions and to assist the decision-making process He et al, 2017 Analysing new influencing factors and establishing the quantitative relationship based on econometrics for predicting the electricity demand of Tianjin Liu et al, 2017a Simulating land use development strategies by considering various socioeconomic and natural climatic factors for policy recommendation Liu et al, 2017b Simulating, forecasting and displaying geographical distributions and land use change Macmillan and Woodcock, 2017 Policy recommendation for different cities on cycling trajectory Moon et al, 2017 Projecting changes in climate change-induced risks and providing policy alternatives to mitigate the risks of climate change effects in urban and rural areas Procter et al, 2017 Enabling policy makers to make strategic choices about regional growth with utilization of light rail transit Sahin et al, 2017 Allowing water planners to explore policy alternatives and optimize bestpractice decisions considering water conservation and management Wan et al, 2017 Achieving coordinated development of social development and ecological environment Policy optimization for urban wetland water resources management Identification of different driving modes for urban growth management in different regions according to the functional positioning of their DPZ (continued) Faust et al, 2017;Xi and Poh, 2015). This was also combined with other topics, such as the environment, livelihood, security, and culture (Fernald et al, 2012;…”

Section: System Dynamics Modelsmentioning

confidence: 99%

System dynamics models for the simulation of sustainable urban development

Bach

Tustanovski²,

et al. 2019

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Purpose System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to review system dynamics applications in the simulation of sustainable urban development over a period from 2005 to 2017. Design/methodology/approach The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed its focus from the modelling of environmental problems to more complex models, portraying the multidimensional socio-economic processes that have an impact on the sustainability of urban development. Analysed case studies most often use the behaviour reproduction test for model validation, but without a unified approach. In most cases, modelling has been done in China, Germany and the USA, while urban development in the Eastern European countries, Africa and Latin America has not often been investigated. This paper indicates the knowledge gaps and suggests future research directions. Findings Papers that report the use of system dynamics modelling reveal a wide range of applications in urban sustainability. The analysis shows significant emphasis on environmental problems, while the interest for modelling social problems has been increasing during the last several years. Most of the modelled problems examine the sustainability of resources (land, water) and waste management, which are used for insights into the reasons for the system behaviour, forecasting future behaviour and policy testing. Originality/value The presented models were developed in most cases for the purpose of understanding the phenomena examined, as well as the future use of the models in policy planning. This brings us back to the need for greater stakeholder involvement, not only in the initial phase, but also during the whole modelling process, which could increase understanding, use and ownership of the models in the future, and thus increase their practical application.

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“…Presently, system dynamics is widely used in almost all fields of human society and natural sciences, which can be summarized into three aspects: prediction [21][22][23][24], policy management [25,26], and optimization and control [27][28][29].…”

Section: System Dynamicsmentioning

confidence: 99%

Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective

Gong

2019

Sustainability

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Open innovation communities (OICs) can help enterprises make full use of external knowledge resources from users, but problems such as low user participation and low conversion rate of creative ideas impact the efficiency of OICs. Most studies on this topic employ qualitative or empirical methods from a static perspective, but ignore the effect of interaction between enterprises and users as well as the cumulative effect of time. A discussion on the dynamic evolution process of open innovation is lacking. Based on a review of the literature on OICs, innovation performance, and system dynamics, this study proposes a conceptual model of innovation performance impact, which comprises the knowledge management, governance mechanism, and user behavior subsystems. Xiaomi’s OIC in China was selected as the research object, and relevant data were collected through a web spider. According to the system dynamics modeling method, a causal relationship analysis was carried out on the three aforementioned interrelated subsystems. Then, a stock flow chart with 32 variables was constructed to determine the initial values and calculation equations for each variable. Finally, the model was constructed and verified using Vensim PLE software. The simulation results were as follows. (1) The number of product releases in the Xiaomi OIC was positively correlated with the number of posts, comments, and views. Compared with user interaction behavior (i.e., commenting and viewing), the impact of user innovation behavior (i.e., posting) on enterprise innovation performance (i.e., number of patents) is clearer. Specifically, regarding interaction behavior, the impact of the users’ commenting behavior on innovation performance (i.e., number of product releases) was relatively clearer than that of their viewing behavior. (2) Governance mechanism (i.e., R&D investment and management expense), which comprises technical and organizational mechanisms, positively affected the innovation performance of enterprises. Compared with the organizational mechanism (i.e., management expense), the impact of the technical mechanism (i.e., R&D investment) on the innovation performance was clearer. (3) Governance mechanism helped to increase the number of users in the OIC, and, in turn, affected the user innovation and interaction behavior. (4) The technical mechanism positively affected knowledge application capability, which, in turn, had a positive impact on the innovation performance of enterprises. Based on these findings, management strategies are proposed for the establishment and development of OICs.

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Scenario of future e-waste generation and recycle-reuse-landfill-based disposal pattern in India: a system dynamics approach

Cited by 48 publications

References 31 publications

The journey from products to waste: a pilot study on perception and discarding of electronic waste in contemporary urban India

The journey from products to waste: a pilot study on perception and discarding of electronic waste in contemporary urban India

System dynamics models for the simulation of sustainable urban development

Impact of Open Innovation Communities on Enterprise Innovation Performance: A System Dynamics Perspective

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