{"title":"中国碳排放效率测度及其影响因素研究","authors":"Hua Wang, Z. Wang, Xin He","doi":"10.12783/ISSN.1544-8053/14/1/26","DOIUrl":null,"url":null,"abstract":"This paper attempts to take China, an emerging economy in the process of industrialization and emission reduction, as an example to measure its carbon emission efficiency and related influence factors, as a reference for the developing countries to develop green economy. Based on the measurement of carbon emission, this article firstly analyzes several emission efficiency indicators: CEP, ML index and TGR. Then this article adopts Tobit model to analyze the influencing factors of these indicators. In the end, we give some suggestions for the improvement of carbon emission efficiency.","PeriodicalId":17101,"journal":{"name":"Journal of Residuals Science & Technology","volume":"1 1","pages":"211-225"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measurement of China’s Carbon Emissions Efficiency and the Study of Its Influencing Factors\",\"authors\":\"Hua Wang, Z. Wang, Xin He\",\"doi\":\"10.12783/ISSN.1544-8053/14/1/26\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper attempts to take China, an emerging economy in the process of industrialization and emission reduction, as an example to measure its carbon emission efficiency and related influence factors, as a reference for the developing countries to develop green economy. Based on the measurement of carbon emission, this article firstly analyzes several emission efficiency indicators: CEP, ML index and TGR. Then this article adopts Tobit model to analyze the influencing factors of these indicators. In the end, we give some suggestions for the improvement of carbon emission efficiency.\",\"PeriodicalId\":17101,\"journal\":{\"name\":\"Journal of Residuals Science & Technology\",\"volume\":\"1 1\",\"pages\":\"211-225\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Residuals Science & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/ISSN.1544-8053/14/1/26\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Residuals Science & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/ISSN.1544-8053/14/1/26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measurement of China’s Carbon Emissions Efficiency and the Study of Its Influencing Factors
This paper attempts to take China, an emerging economy in the process of industrialization and emission reduction, as an example to measure its carbon emission efficiency and related influence factors, as a reference for the developing countries to develop green economy. Based on the measurement of carbon emission, this article firstly analyzes several emission efficiency indicators: CEP, ML index and TGR. Then this article adopts Tobit model to analyze the influencing factors of these indicators. In the end, we give some suggestions for the improvement of carbon emission efficiency.
期刊介绍:
The international Journal of Residuals Science & Technology (JRST) is a blind-refereed quarterly devoted to conscientious analysis and commentary regarding significant environmental sciences-oriented research and technical management of residuals in the environment. The journal provides a forum for scientific investigations addressing contamination within environmental media of air, water, soil, and biota and also offers studies exploring source, fate, transport, and ecological effects of environmental contamination.