A systematic review of empirical methods for modelling sectoral carbon emissions in China. (1st April 2019)

• Record Type: Journal Article
• Authors: Huang, Li; Kelly, Scott; Lv, Kangjuan; Giurco, Damien
• Is Part Of: Journal of cleaner production. Volume 215(2019)
• Page Start: 1382
• Page End: 1401
• Publication Date: 2019-04-01
• Subjects: Climate change -- Carbon emissions -- China -- Knowledge mapping -- Literature review -- Modelling; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2019.01.058
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: A number of empirical methods have been developed to study China's sectoral carbon emissions (CSCE). Measuring these emissions is important for climate change mitigation. While several articles have reviewed specific methods, few attempts conduct a systematic analysis of all the major research methods. In total 807 papers were published on CSCE research between 1997 and 2017. The primary source of literature for this analysis was taken from the Web of Science database. Based on a bibliometric analysis using knowledge mapping with the software CiteSpace, the review identified five common families of methods: 1) environmentally-extended input-output analysis (EE-IOA), 2) index decomposition analysis (IDA), 3) econometrics, 4) carbon emission control efficiency evaluation and 5) simulation. The research revealed the main trends in each family of methods and has visualized this research into ten research clusters. In addition, the paper provides a direct comparison of all methods. The research results can help scholars quickly identify and compare different methods for addressing specific research questions.