{"title":"Eco-efficiency Evaluation of the Eco-industrial Cluster","authors":"A. Hu, Sin-How Shih, C. Hsu, C. Tseng","doi":"10.1109/ECODIM.2005.1619348","DOIUrl":null,"url":null,"abstract":"This study examines both economic and environmental performance of an industrial park using the eco-efficiency indicator framework. The case study involves Chang Hua Coastal Industrial Park (CHCIP) and its surrounding area in central Taiwan. An eco-industrial cluster consisting of seven companies and anchoring a large steel mill was identified for recovering of waste generated into construction materials. (It was referred to as being 'eco-industrialization' hereinafter). The eco-efficiency of individual companies and the overall eco-efficiency of the total system were quantified using one economic indicator (after-tax profit) and five environmental indicators (energy consumption, water consumption, raw material consumption, CO2 emission, and total waste generated). Five eco-efficiency ratios were estimated under three scenarios of the park: before the clustering system is formed, after the clustering system is formed, and a future optimum scenario (i.e. for situations the goal of \"zero emissions\" is being achieved). Results of this study demonstrate that overall eco-efficiency of the cluster following eco-industrialization could result in increases of up to 30-40% over the pre-eco-industrialized level","PeriodicalId":383623,"journal":{"name":"2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECODIM.2005.1619348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This study examines both economic and environmental performance of an industrial park using the eco-efficiency indicator framework. The case study involves Chang Hua Coastal Industrial Park (CHCIP) and its surrounding area in central Taiwan. An eco-industrial cluster consisting of seven companies and anchoring a large steel mill was identified for recovering of waste generated into construction materials. (It was referred to as being 'eco-industrialization' hereinafter). The eco-efficiency of individual companies and the overall eco-efficiency of the total system were quantified using one economic indicator (after-tax profit) and five environmental indicators (energy consumption, water consumption, raw material consumption, CO2 emission, and total waste generated). Five eco-efficiency ratios were estimated under three scenarios of the park: before the clustering system is formed, after the clustering system is formed, and a future optimum scenario (i.e. for situations the goal of "zero emissions" is being achieved). Results of this study demonstrate that overall eco-efficiency of the cluster following eco-industrialization could result in increases of up to 30-40% over the pre-eco-industrialized level