2009
DOI: 10.1016/j.enpol.2009.02.039
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Internalization of the external costs of global environmental damage in an integrated assessment model

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Cited by 41 publications
(17 citation statements)
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“…Published papers only describe on second issue (merging GRAPE with LIME); one for methodological one in (Kurosawa et al 2007), the other for a model development to couple the IAM with LCIA and applied to measure GS without non-fuel mineral resources (Kosugi et al 2009). …”
Section: Appendix 1: the Model Used In This Studymentioning
confidence: 98%
“…Published papers only describe on second issue (merging GRAPE with LIME); one for methodological one in (Kurosawa et al 2007), the other for a model development to couple the IAM with LCIA and applied to measure GS without non-fuel mineral resources (Kosugi et al 2009). …”
Section: Appendix 1: the Model Used In This Studymentioning
confidence: 98%
“…Seuring and Muller (2008) provided an excellent literature review on sustainable supply chain management and identified two distinct strategies for sustainable supply chain management: supplier management for risks and performance and supply chain management for sustainable products. Kosugi et al (2009) simulated the internalization of externality costs for major global environmental issues and assessed the results with a life cycle impact assessment model. This model indicated that internalizing the externality cost increases forest preservation and reduces fossil-fuel consumption.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The electricity comes from different sources, and each of these sources has different socioeconomic and environmental impacts, thus, their externalities are also different (Larkin, 2013). Several researchers have studied the monetary value of these externalities for different energy sources (Carlson, 2002;Costs, 2011;Kosugi et al, 2009;Rafaj & Kypreos, 2007;Shindell, 2013). Nonetheless, these figures are endowed with uncertainties and do not take into account local aspects, referring to the southern region of Brazil.…”
Section: External Costmentioning
confidence: 99%