Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks
Industrial Symbiosis (IS) is a systematic and collective (business) approach to optimizing the use of materials and energy among cross-sectoral industries in order to initiate and exhaust extended cascading systems; it is associated with (synergistic) environmental, technical, social, and economic b...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Administrative Sciences |
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| Online Access: | https://www.mdpi.com/2076-3387/10/1/3 |
| _version_ | 1818599247018196992 |
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| author | Anna Lütje Volker Wohlgemuth |
| author_facet | Anna Lütje Volker Wohlgemuth |
| author_sort | Anna Lütje |
| collection | DOAJ |
| description | Industrial Symbiosis (IS) is a systematic and collective (business) approach to optimizing the use of materials and energy among cross-sectoral industries in order to initiate and exhaust extended cascading systems; it is associated with (synergistic) environmental, technical, social, and economic benefits. For monitoring and controlling the development and progress of an IS system, an indicator system must be set up to standardize and assess the IS (sustainability) performance. This study aims to present a quantitative indicator system to enable the tracking of set sustainability targets of an IS system in Industrial Parks (IPs) for goal-directed IS management. The presented guiding framework encourages IP members in IS systems to set sustainability objectives and to evaluate and track their performance over time with a quantitative indicator system. In particular, established and (partly) internationally standardized methods—such as Material Flow Analysis (MFA), Material Flow Cost Accounting (MFCA), Social Network Analysis (SNA), and Life Cycle Assessment (LCA)—are used in order to place the indicator system on a solid and robust foundation and to adequately meet the multi-faceted sustainability perspectives in the form of a combinatorial application for deriving suitable quantitative indicators for all three (environmental, economic, social) dimensions of sustainability. The indicator system, once embedded in an Information Technology (IT)-supported IS tool, contributes crucially to the technology-enabled environment of IS systems, driving sustainability trajectories. |
| first_indexed | 2024-12-16T12:16:33Z |
| format | Article |
| id | doaj.art-94af67b3cf2044f293b2e575dc97faef |
| institution | Directory Open Access Journal |
| issn | 2076-3387 |
| language | English |
| last_indexed | 2024-12-16T12:16:33Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Administrative Sciences |
| spelling | doaj.art-94af67b3cf2044f293b2e575dc97faef2022-12-21T22:32:05ZengMDPI AGAdministrative Sciences2076-33872020-01-01101310.3390/admsci10010003admsci10010003Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial ParksAnna Lütje0Volker Wohlgemuth1Institute of Environmental Communication, Leuphana University Lüneburg, Universitätsallee 1, 21335 Lüneburg, GermanySchool of Engineering-Technology and Life, HTW Berlin University of Applied Sciences, Treskowallee 8, 10318 Berlin, GermanyIndustrial Symbiosis (IS) is a systematic and collective (business) approach to optimizing the use of materials and energy among cross-sectoral industries in order to initiate and exhaust extended cascading systems; it is associated with (synergistic) environmental, technical, social, and economic benefits. For monitoring and controlling the development and progress of an IS system, an indicator system must be set up to standardize and assess the IS (sustainability) performance. This study aims to present a quantitative indicator system to enable the tracking of set sustainability targets of an IS system in Industrial Parks (IPs) for goal-directed IS management. The presented guiding framework encourages IP members in IS systems to set sustainability objectives and to evaluate and track their performance over time with a quantitative indicator system. In particular, established and (partly) internationally standardized methods—such as Material Flow Analysis (MFA), Material Flow Cost Accounting (MFCA), Social Network Analysis (SNA), and Life Cycle Assessment (LCA)—are used in order to place the indicator system on a solid and robust foundation and to adequately meet the multi-faceted sustainability perspectives in the form of a combinatorial application for deriving suitable quantitative indicators for all three (environmental, economic, social) dimensions of sustainability. The indicator system, once embedded in an Information Technology (IT)-supported IS tool, contributes crucially to the technology-enabled environment of IS systems, driving sustainability trajectories.https://www.mdpi.com/2076-3387/10/1/3industrial symbiosisindustrial ecologyindicator systemsustainability targetsresource efficiencyresource productivitysustainability performance measurement |
| spellingShingle | Anna Lütje Volker Wohlgemuth Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks Administrative Sciences industrial symbiosis industrial ecology indicator system sustainability targets resource efficiency resource productivity sustainability performance measurement |
| title | Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks |
| title_full | Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks |
| title_fullStr | Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks |
| title_full_unstemmed | Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks |
| title_short | Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks |
| title_sort | tracking sustainability targets with quantitative indicator systems for performance measurement of industrial symbiosis in industrial parks |
| topic | industrial symbiosis industrial ecology indicator system sustainability targets resource efficiency resource productivity sustainability performance measurement |
| url | https://www.mdpi.com/2076-3387/10/1/3 |
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