Can hazardous waste supply chain ‘hotspots’ be identified using an input–output framework?

Court, Christa D.; Munday, Max; Roberts, Annette; Turner, Karen

doi:10.1016/j.ejor.2014.08.011

Cited by 24 publications

(14 citation statements)

References 18 publications

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“…The matrix W + kj hereby represents the waste generation that is added to the environment (+) of sector j and waste type k by producing goods and services and selling them to other sectors. Generalising, W + shows which sector generates which types of waste (Nakamura, Kondo, 2009;Nakamura, Kondo, 2002;Court, et al 2015).…”

Section: )mentioning

confidence: 99%

“…Accordingly, the output of one waste treatment sector m equals the sum of all output from sector m to all good sectors j (j ∈ N I ), plus the sum of all output from sector m to other waste treatment sectors j (j ∈ N II ), plus any external direct demand for output from sector m (Court, et al 2015;Liao, et al 2015;Nakamura, et al 2007;Jensen, et al 2013).…”

Section: )mentioning

confidence: 99%

“…The WIO reveals the sales and purchasing patterns between industries and enables comparisons on environmental impacts between sectors (Court et al 2015). Its unique feature is to quantify direct and indirect environmental effects throughout a products' supply chain capturing suppliers' influences on numerous levels (Hendrickson et al 1998; Liao et al 2015).…”

Section: )mentioning

confidence: 99%

“…;Nakamura, Kondo, 2002;Court, et al 2015;Liao, et al 2015;Miller, Blair, 2009;Nakamura, et al 2007;Jensen, et al 2013). …”

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confidence: 99%

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Quantifying the circularity of regional industrial waste across multi-channel enterprises

2019

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Section: )mentioning

confidence: 99%

Section: )mentioning

confidence: 99%

Section: )mentioning

confidence: 99%

“…;Nakamura, Kondo, 2002;Court, et al 2015;Liao, et al 2015;Miller, Blair, 2009;Nakamura, et al 2007;Jensen, et al 2013). …”

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Quantifying the circularity of regional industrial waste across multi-channel enterprises

2019

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“…Alidi ( 1992 , 1996 ) developed an integer goal programming model and a multi-objective optimization model that considers the multiple goals and needs of many groups involved in managing and planning hazardous waste systems and offers policy-makers relevant decisions. Later, in order to evaluate the hazardous waste management system and analyse the existing problems and challenges preferably, the scholars have proposed some decision methods, and established relevant models to optimize management system(Asari & Sakai, 2011 ; Court et al, 2015 ; Gu et al, 2014 ; Gumus, 2009 ; Hernandez & Uddameri, 2008 ; Hollister, 2002 ; Mmereki et al, 2014 ; Nema & Gupta, 2003 ; Onan et al, 2015 ; Rerat et al, 2013 ). And there are some scholars to optimize the management system based on technologies such as RFID and GIS (Lu et al, 2012 ).…”

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confidence: 99%

Reverse logistics research of municipal hazardous waste: a literature review

Xin

Wang

et al. 2021

Environ Dev Sustain

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The reverse logistics of municipal hazardous waste (RLMHW) have received close attention from researchers and practitioners alike, given the essential impact of safe transportation and effective management of hazardous waste on public health and environmental sustainability. There are a great number of studies in the extant literature on RLMHW, with many and diverse research topics; however, a concise and complete overview of the research works already conducted in this particular area is conspicuous by its absence. This paper strives to fill the gap through the conduct of rigorous systematic literature review of RLMHW in the past three decades, and then establish a framework of studies on RLMHW. The main contributions of this study are as follows: (1) to identify the trend of journals publishing research papers on RLMHW; (2) to extract the main topics in studies on RLMHW; (3) to locate the most popular research areas of RLMHW; (4) to summarize the methods adopted in studies on RLMHW; (5) to identify research deficiencies in certain categories of RLMHW; and (6) to establish the future research directions of RLMHW. The main implications of the study are to offer a better understanding of RLMHW by systematic crystallization of archival data in a systematic chronological order across central issues. This study contributes to scholarly debate in this field by serving as a snapshot paper to document the development of the field and gives input to policymakers in process design and policy making in the domain of RLMHW.

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Household Hazardous Waste Quantification, Characterization, and Management in Developing Countries’ Cities: A Case Study

Al-Tamimi¹,

Al‐Khatib²,

Kontogianni³

2018

Handbook of Environmental Materials Management

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Can hazardous waste supply chain ‘hotspots’ be identified using an input–output framework?

Cited by 24 publications

References 18 publications

Quantifying the circularity of regional industrial waste across multi-channel enterprises

Quantifying the circularity of regional industrial waste across multi-channel enterprises

Reverse logistics research of municipal hazardous waste: a literature review

Household Hazardous Waste Quantification, Characterization, and Management in Developing Countries’ Cities: A Case Study

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