{"title":"环境退化的成本研究","authors":"Haihui Wu, Ruijie Sun, L. Meng, Yuchao Cheng","doi":"10.2991/SEEIE-19.2019.31","DOIUrl":null,"url":null,"abstract":"We propose an ecosystem service assessment model, Consider the problem from both the dominant and implicit environmental degradation costs. In order to obtain the cost of environmental degradation, we first use the factor analysis method to calculate the environmental pollution index of China's “three wastes” emissions from 2008 to 2017, and then use regression analysis and marginal analysis to analyze the environmental degradation costs caused by changes in environmental pollution indices. Secondly, we use the environmental pollution index as the explanatory variable, the explicit and implicit environmental degradation cost as the explanatory variables, and the industrial structure and per capita GDP level as the control factors to establish the regression model. Regression analysis using SPSS software can obtain correlation regression coefficients, and then analyze the correlation between environmental pollution index and environmental degradation cost. Finally, the environmental degradation cost is calculated by the absolute value of the environmental pollution index difference. It can be observed that the environmental degradation cost increases with time. Keywords—linear regression; SPSS; dominant and implicit environmental degradation costs","PeriodicalId":185301,"journal":{"name":"Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the Cost of Environmental Degradation\",\"authors\":\"Haihui Wu, Ruijie Sun, L. Meng, Yuchao Cheng\",\"doi\":\"10.2991/SEEIE-19.2019.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose an ecosystem service assessment model, Consider the problem from both the dominant and implicit environmental degradation costs. In order to obtain the cost of environmental degradation, we first use the factor analysis method to calculate the environmental pollution index of China's “three wastes” emissions from 2008 to 2017, and then use regression analysis and marginal analysis to analyze the environmental degradation costs caused by changes in environmental pollution indices. Secondly, we use the environmental pollution index as the explanatory variable, the explicit and implicit environmental degradation cost as the explanatory variables, and the industrial structure and per capita GDP level as the control factors to establish the regression model. Regression analysis using SPSS software can obtain correlation regression coefficients, and then analyze the correlation between environmental pollution index and environmental degradation cost. Finally, the environmental degradation cost is calculated by the absolute value of the environmental pollution index difference. It can be observed that the environmental degradation cost increases with time. Keywords—linear regression; SPSS; dominant and implicit environmental degradation costs\",\"PeriodicalId\":185301,\"journal\":{\"name\":\"Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/SEEIE-19.2019.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/SEEIE-19.2019.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose an ecosystem service assessment model, Consider the problem from both the dominant and implicit environmental degradation costs. In order to obtain the cost of environmental degradation, we first use the factor analysis method to calculate the environmental pollution index of China's “three wastes” emissions from 2008 to 2017, and then use regression analysis and marginal analysis to analyze the environmental degradation costs caused by changes in environmental pollution indices. Secondly, we use the environmental pollution index as the explanatory variable, the explicit and implicit environmental degradation cost as the explanatory variables, and the industrial structure and per capita GDP level as the control factors to establish the regression model. Regression analysis using SPSS software can obtain correlation regression coefficients, and then analyze the correlation between environmental pollution index and environmental degradation cost. Finally, the environmental degradation cost is calculated by the absolute value of the environmental pollution index difference. It can be observed that the environmental degradation cost increases with time. Keywords—linear regression; SPSS; dominant and implicit environmental degradation costs