author_facet Mohamed Abdul Ghani, N. Muhammad Aslaam
Egilmez, Gokhan
Kucukvar, Murat
S. Bhutta, M. Khurrum
Mohamed Abdul Ghani, N. Muhammad Aslaam
Egilmez, Gokhan
Kucukvar, Murat
S. Bhutta, M. Khurrum
author Mohamed Abdul Ghani, N. Muhammad Aslaam
Egilmez, Gokhan
Kucukvar, Murat
S. Bhutta, M. Khurrum
spellingShingle Mohamed Abdul Ghani, N. Muhammad Aslaam
Egilmez, Gokhan
Kucukvar, Murat
S. Bhutta, M. Khurrum
Management of Environmental Quality: An International Journal
From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
Management, Monitoring, Policy and Law
Public Health, Environmental and Occupational Health
author_sort mohamed abdul ghani, n. muhammad aslaam
spelling Mohamed Abdul Ghani, N. Muhammad Aslaam Egilmez, Gokhan Kucukvar, Murat S. Bhutta, M. Khurrum 1477-7835 Emerald Management, Monitoring, Policy and Law Public Health, Environmental and Occupational Health http://dx.doi.org/10.1108/meq-12-2015-0211 <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to focus on tracing GHG emissions across the supply chain industries associated with the US residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>A two-step hierarchical approach is developed. First, Economic Input-Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the US residential, commercial and industrial building stock. Second, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (percent) for each industry across the supply chain network of the US economy.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results indicated that “ready-mix concrete manufacturing”, “electric power generation, transmission and distribution” and “lighting fixture manufacturing” sectors were found to be the main culprits in the GHG emissions’ stock. Additionally, the majorly responsible industries in the supply chains of each building construction categories were also highlighted as the hot-spots in the supply chains with respect to the GHG emission reduction (percent) requirements.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>The decision making in terms of construction-related expenses and energy use options have considerable impacts across the supply chains. Therefore, regulations and actions should be re-organized around the systematic understanding considering the principles of “circular economy” within the context of sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Although the literature is abundant with works that address quantifying environmental impacts of building structures, environmental life cycle impact-based optimization methods are scarce. This paper successfully fills this gap by integrating EIO-LCA and MILP frameworks to identify the most pollutant industries in the supply chains of building structures.</jats:p> </jats:sec> An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making Management of Environmental Quality: An International Journal
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title_sub An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_unstemmed From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_full From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_fullStr From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_full_unstemmed From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_short From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_sort from green buildings to green supply chains : an integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
topic Management, Monitoring, Policy and Law
Public Health, Environmental and Occupational Health
url http://dx.doi.org/10.1108/meq-12-2015-0211
publishDate 2017
physical 532-548
description <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to focus on tracing GHG emissions across the supply chain industries associated with the US residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>A two-step hierarchical approach is developed. First, Economic Input-Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the US residential, commercial and industrial building stock. Second, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (percent) for each industry across the supply chain network of the US economy.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results indicated that “ready-mix concrete manufacturing”, “electric power generation, transmission and distribution” and “lighting fixture manufacturing” sectors were found to be the main culprits in the GHG emissions’ stock. Additionally, the majorly responsible industries in the supply chains of each building construction categories were also highlighted as the hot-spots in the supply chains with respect to the GHG emission reduction (percent) requirements.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>The decision making in terms of construction-related expenses and energy use options have considerable impacts across the supply chains. Therefore, regulations and actions should be re-organized around the systematic understanding considering the principles of “circular economy” within the context of sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Although the literature is abundant with works that address quantifying environmental impacts of building structures, environmental life cycle impact-based optimization methods are scarce. This paper successfully fills this gap by integrating EIO-LCA and MILP frameworks to identify the most pollutant industries in the supply chains of building structures.</jats:p> </jats:sec>
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author Mohamed Abdul Ghani, N. Muhammad Aslaam, Egilmez, Gokhan, Kucukvar, Murat, S. Bhutta, M. Khurrum
author_facet Mohamed Abdul Ghani, N. Muhammad Aslaam, Egilmez, Gokhan, Kucukvar, Murat, S. Bhutta, M. Khurrum, Mohamed Abdul Ghani, N. Muhammad Aslaam, Egilmez, Gokhan, Kucukvar, Murat, S. Bhutta, M. Khurrum
author_sort mohamed abdul ghani, n. muhammad aslaam
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container_title Management of Environmental Quality: An International Journal
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description <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to focus on tracing GHG emissions across the supply chain industries associated with the US residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>A two-step hierarchical approach is developed. First, Economic Input-Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the US residential, commercial and industrial building stock. Second, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (percent) for each industry across the supply chain network of the US economy.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results indicated that “ready-mix concrete manufacturing”, “electric power generation, transmission and distribution” and “lighting fixture manufacturing” sectors were found to be the main culprits in the GHG emissions’ stock. Additionally, the majorly responsible industries in the supply chains of each building construction categories were also highlighted as the hot-spots in the supply chains with respect to the GHG emission reduction (percent) requirements.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>The decision making in terms of construction-related expenses and energy use options have considerable impacts across the supply chains. Therefore, regulations and actions should be re-organized around the systematic understanding considering the principles of “circular economy” within the context of sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Although the literature is abundant with works that address quantifying environmental impacts of building structures, environmental life cycle impact-based optimization methods are scarce. This paper successfully fills this gap by integrating EIO-LCA and MILP frameworks to identify the most pollutant industries in the supply chains of building structures.</jats:p> </jats:sec>
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spelling Mohamed Abdul Ghani, N. Muhammad Aslaam Egilmez, Gokhan Kucukvar, Murat S. Bhutta, M. Khurrum 1477-7835 Emerald Management, Monitoring, Policy and Law Public Health, Environmental and Occupational Health http://dx.doi.org/10.1108/meq-12-2015-0211 <jats:sec> <jats:title content-type="abstract-subheading">Purpose</jats:title> <jats:p>The purpose of this paper is to focus on tracing GHG emissions across the supply chain industries associated with the US residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title> <jats:p>A two-step hierarchical approach is developed. First, Economic Input-Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the US residential, commercial and industrial building stock. Second, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (percent) for each industry across the supply chain network of the US economy.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Findings</jats:title> <jats:p>The results indicated that “ready-mix concrete manufacturing”, “electric power generation, transmission and distribution” and “lighting fixture manufacturing” sectors were found to be the main culprits in the GHG emissions’ stock. Additionally, the majorly responsible industries in the supply chains of each building construction categories were also highlighted as the hot-spots in the supply chains with respect to the GHG emission reduction (percent) requirements.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Practical implications</jats:title> <jats:p>The decision making in terms of construction-related expenses and energy use options have considerable impacts across the supply chains. Therefore, regulations and actions should be re-organized around the systematic understanding considering the principles of “circular economy” within the context of sustainable development.</jats:p> </jats:sec> <jats:sec> <jats:title content-type="abstract-subheading">Originality/value</jats:title> <jats:p>Although the literature is abundant with works that address quantifying environmental impacts of building structures, environmental life cycle impact-based optimization methods are scarce. This paper successfully fills this gap by integrating EIO-LCA and MILP frameworks to identify the most pollutant industries in the supply chains of building structures.</jats:p> </jats:sec> An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making Management of Environmental Quality: An International Journal
spellingShingle Mohamed Abdul Ghani, N. Muhammad Aslaam, Egilmez, Gokhan, Kucukvar, Murat, S. Bhutta, M. Khurrum, Management of Environmental Quality: An International Journal, From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making, Management, Monitoring, Policy and Law, Public Health, Environmental and Occupational Health
title From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_full From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_fullStr From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_full_unstemmed From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_short From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_sort from green buildings to green supply chains : an integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_sub An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
title_unstemmed From green buildings to green supply chains : An integrated input-output life cycle assessment and optimization framework for carbon footprint reduction policy making
topic Management, Monitoring, Policy and Law, Public Health, Environmental and Occupational Health
url http://dx.doi.org/10.1108/meq-12-2015-0211