Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain

Tozanlı, Özden; Kongar, Elif; Gupta, Surendra M.

doi:10.3390/su12135416

Cited by 47 publications

(24 citation statements)

References 111 publications

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“…Up to this point, the topic model analysis highlights the prevalence of papers related to business innovation, with an emphasis on process improvements, which are ultimately expected to improve the environment. The rise of renewable energy, as well as the reduction and measurement of pollution levels, with an increasing green awareness, have configured economically, renewably, and socially sustainable business approaches harnessed by technologies [43]. Such evidence is in line with the literature claiming innovation to be an important tool for achieving sustainability [44][45][46][47][48][49][50].…”

Section: Eu Taxonomy In the Scientific Literature: Topic Modelling Analysissupporting

confidence: 60%

Classification of Sustainable Activities: EU Taxonomy and Scientific Literature

et al. 2020

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In March 2020, the European Commission published the EU Taxonomy, a classification system of economic activities that can be considered environmentally sustainable. Motivated by this policy initiative, we propose a bibliometric analysis, based on the Web of Science database for the period January 1990–March 2020, regarding the extant scientific production related to the EU Taxonomy environmental objectives and macro-sectors. We find that a considerable number of scientific works—161,595 publications—have investigated Taxonomy-related areas, showing that the EU Taxonomy defined a working method, based on the cooperation among regulators, academics, and industry, representing a valuable example of evidence-based policy making. Furthermore, topic modelling analysis shows that extracted papers focused on improvements in production processes, innovation, and environmental performance. Thus, exploiting time and geographic patterns of the scientific publications, we perform a multivariate analysis to investigate its relationship with subsequent levels of pollution. Our evidence shows that, for the past, a higher level of EU Taxonomy-related publications is associated with a lower level of CO2 emissions, supporting the view that scientific production has a societal impact in terms of environmental sustainability. Accordingly, now that EU Taxonomy-related topics have been incorporated into policy measures, further positive environmental effects are expected from here on out.

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Section: Eu Taxonomy In the Scientific Literature: Topic Modelling Analysissupporting

confidence: 60%

Classification of Sustainable Activities: EU Taxonomy and Scientific Literature

et al. 2020

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“…Though "pollution haven" motives exist for the importation of plastic waste and textile waste from developed countries, such effects are marginal due to the small trade value in these two categories. Metal waste imports from developed countries and all categories of waste imports from developing countries are stimulated by the demand in China for seeking resources as cheap intermediate manufacture inputs [41,42]. Different from Kellenberg's (2012) view that developing countries import waste due to lax environmental regulations, this paper finds that the resource-seeking motivation of China's waste import supports Higashida and Managi [24].…”

Section: Conclusion and Policy Implicationmentioning

confidence: 65%

Sustainability and Waste Imports in China: Pollution Haven or Resources Hunting

Alleyne

Zhang

et al. 2021

Sustainability

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Motivations behind a country’s importation of waste are categorized into the pollution haven hypothesis (PHH) and the resource hunting hypothesis (RHH). The importation of wastes can lead to environmental sustainability concerns, requiring governments to intervene when the market fails to reduce the negative externalities by strengthening and implementing environmental regulations. Motivated by China’s position within a rapidly growing but environmentally damaging sector of trade, this paper has three goals: (1) to classify the primary hypothesis that governs China’s flow of traded wastes; (2) to verify the heterogeneous impact of the pollution paradise motivation and resource demand motivation of waste imports from developed and developing countries, and across industries; (3) to assess the impact of domestic environmental regulations on the motives behind China’s waste imports. Using 28 imported waste-varieties from 20 of China’s major trade partners across 24 years, findings indicate that the flow of Chinese waste imports is relatively unresponsive under the pollution haven effect. However, the resource hunting effect from developing countries is significantly greater than what originates from developed countries, despite the laws of 2011 and 2017 established to restrict resource hunting activities. These results have important implications for improving the efficiency of China’s waste sorting and recycling systems.

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“…Many scholars point out that the advent of modern digital technology positively impacts the supply chain's visibility, especially those that allow for an overview of previous challenges to detect processes within the supply chain. Digital Twins are no exception to this [7,69]. It will possibly help boost all four organizational visibility factors discussed in the theoretical structure section by providing a functioning Digital Twins.…”

Section: The Impact Of Digital Twins Upon Supply Chain Visibilitymentioning

confidence: 99%

Digital Twins Driven Supply Chain Visibility within Logistics: A New Paradigm for Future Logistics

Moshood

Nawanir

Sorooshian

et al. 2021

ASI

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The supply chains shaping their distribution networks become more diverse as companies respond to global markets’ stringent criteria. This is also counterproductive to the visibility of the supply chain within the company and can adversely affect the organization’s core business. This paper attempts to evaluate how organizations can benefit from introducing Digital Twins to enhance their logistics supply network visibility. Additionally, deployment issues and technologies supporting Digital Twins were reviewed. This study used ATLAS.ti 9 software tools to save, classify, and evaluate the data for this analysis to systematically review the literature. We reviewed, compiled, and sorted papers from 227 publications for this article and then recognized 104 as critical to the work scope; this analysis’ quest date was set from 2002 to 2021. This article represents the first attempt at dealing with the issue of supply chain visibility through the Digital Twins in the logistics field. The research outcomes found that Digital Twins would help companies develop predictive metrics, diagnostics, projections, and physical asset descriptions for their logistics. This study also suggested some steps to overcome the challenges in implementing a Digital Twins in the logistics industry. For researchers, this review offers the possibility to unify and expand existing solutions and to identify links and interfaces that are still needed. As for managerial implications, this study can be used to identify future strategies and technologies to fulfil certain logistics tasks and develop new technological solutions for current and future demands.

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Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain

Cited by 47 publications

References 111 publications

Classification of Sustainable Activities: EU Taxonomy and Scientific Literature

Classification of Sustainable Activities: EU Taxonomy and Scientific Literature

Sustainability and Waste Imports in China: Pollution Haven or Resources Hunting

Digital Twins Driven Supply Chain Visibility within Logistics: A New Paradigm for Future Logistics

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