DocumentCode
2435643
Title
Low carbon development assessment of Fujian Province, China based on fuzzy analytic hierarchy process (FAHP) and forest carbon sinks information
Author
Jiang, Hong ; Chen, Fu-ji ; Wang, Qin-min
Author_Institution
Key Lab. of Spatial Data Min. & Inf. Sharing of Minist. of Educ., Fuzhou Univ., Fuzhou, China
fYear
2011
fDate
8-11 Jan. 2011
Firstpage
278
Lastpage
281
Abstract
The low carbon development assessment can provide valid information to support decision making in regional sustainable development. With the support of forest carbon sinks information simulated from remote sensing data, the low carbon development assessment index framework of Fujian Province, China was constructed. After indices weighting by the fuzzy analytic hierarchy process (FAHP), the low carbon development of Fujian in 2005 was assessed. The assessment result indicates that low carbon development index (LCD) of county or city in Fujian Province, China has relatively high correlation with the percentage of tertiary industry and per capita forest net primary productivity (NPP). So development tertiary industry and improvement forest carbon carrying capacity are important approaches for low carbon development in Fujian presently.
Keywords
air pollution; carbon; decision making; environmental economics; remote sensing; sustainable development; China; Fujian Province; decision making; forest carbon carrying capacity; forest carbon sinks information; fuzzy analytic hierarchy process; low carbon development assessment index; net primary productivity; regional sustainable development; remote sensing data; Carbon; Carbon dioxide; Cities and towns; Correlation; Economic indicators; Indexes; Industries; fuzzy analytic hierarchy process (FAHP); low carbon development; net primary productivity (NPP);
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8383-9
Type
conf
DOI
10.1109/MSIE.2011.5707716
Filename
5707716
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