Spatial differences and multi-mechanism of carbon footprint based on GWR model in provincial China

Auteur(s) et Affiliation(s)

WANG, S.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

Univ. of Chinese Academy of Sciences, Beijing, Chine

FANG, C.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

MA, H.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

WANG, Y.

Inst. of Geography, Guangzhou, Chine

QIN, J.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

Univ. of Chinese Academy of Sciences, Beijing, Chine

Description :
Based on the energy consumption, integrated with the Top-Down life cycle approach and geographically weighted regression (GWR) model, this paper analyzed the spatial differences and multi-mechanism of carbon footprint in provincial China in 2010. Firstly, the AA. calculated the amount of carbon footprint of each province using “Top-Down” life cycle approach and found that there were significant differences. Secondly, with the aid of GIS and spatial analysis model (GWR model), this paper had unfolded that the expansion of economic scale is the main driver of the rapid growth of carbon footprint. Thirdly, developing low-carbon economies and low-carbon industries, as well as advocating low-carbon city construction and improving carbon efficiency would be the primary approaches to inhibit the rapid growth of carbon footprint. Moderately controlling the economic scale and population size would also be required to alleviate carbon footprint.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2014, vol. 24, n°. 4, p. 612-630, nombre de pages : 19, Références bibliographiques : 54 ref.

Date :
2014

Editeur :
Pays édition : Chine

Langue :
Anglais