title: [Spatial pattern evolution of carbon emission intensity from energy consumption in China].
abstract: Using Theil index and spatial autocorrelation analysis methods, the characteristics, regional disparity and spatial pattern evolution of carbon emission intensity from energy consumption were analyzed on national, regional and provincial level from 1999 to 2007 in China. The results indicate that: (1) total energy carbon emission in China has increased from 0.91Gt in 1999 to 1.83Gt in 2007, while carbon emission intensity has decreased from 0.83 t x (10(4) yuan) (-1) to 0.79 t x (10(4) yuan) (-1); (2) carbon emission intensity of eight major economic blocks showed the trend of three-level differentiation, with that of northeast regions, the middle reaches of Yellow River regions and northwest regions above 1.0 t x (10(4) yuan)(-1); northern coastal regions, the middle reaches of Yangtze River regions and southwest regions 0.7-1.0 t x (10(4) yuan) (-1); eastern and northern regions 0.32-0.51 t x (10(4) yuan) (-1); (3) Theil index analysis indicates that the within-region carbon emission intensities were similar, and the expanding total disparity of carbon emission intensity was primarily due to between-region inequalities. (4) spatial autocorrelation analysis shows that Global Moran's I has increased from 0.19 to 0.25, indicating that there were positive spatial correlations among provincial regions in China, and regions of similar carbon emission intensity agglomerated in space. The "cold spot" areas of carbon emission intensity were relatively stable, while the "hot spot" areas has gradually shifted from northwest regions to the middle reaches of Yellow River regions and northeast regions. (5) spatial disparity of carbon emission intensity is closely related to factors such as regional resources endowment, economic development, industrial structure and energy utilization efficiency. The study of regional disparity and spatial autocorrelation provides insight into spatial heterogeneity and spatial pattern evolution of carbon emission intensity in China, and also provides references for the development of differential regional objectives of carbon emission reduction and related regulation policies.
authors.affiliation: School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China. andy_nju@126.com
authors.forename: Yun-Tai
authors.initials: YT
authors.lastname: Zhao
authors.forename: Xian-Jin
authors.initials: XJ
authors.lastname: Huang
authors.forename: Tai-Yang
authors.initials: TY
authors.lastname: Zhong
authors.forename: Jia-Wen
authors.initials: JW
authors.lastname: Peng
mesh_terms: D000397:Air Pollution / Q000032:analysis* / Q000517:prevention & control; D002244:Carbon / Q000032:analysis*; D002245:Carbon Dioxide / Q000032:analysis*; D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D005579:Fossil Fuels / Q000009:adverse effects*; D009930:Organic Chemicals / Q000032:analysis
chemical_list: D005579:Fossil Fuels; D009930:Organic Chemicals; D002245:Carbon Dioxide; D002244:Carbon