{"title":"生态产业集群的生态效率评价","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":"{\"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}","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}
Eco-efficiency Evaluation of the Eco-industrial Cluster
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