title: Relationship study on land use spatial distribution structure and energy-related carbon emission intensity in different land use types of Guangdong, China, 1996-2008.
abstract: This study attempts to discuss the relationship between land use spatial distribution structure and energy-related carbon emission intensity in Guangdong during 1996-2008. We quantized the spatial distribution structure of five land use types including agricultural land, industrial land, residential and commercial land, traffic land, and other land through applying spatial Lorenz curve and Gini coefficient. Then the corresponding energy-related carbon emissions in each type of land were calculated in the study period. Through building the reasonable regression models, we found that the concentration degree of industrial land is negatively correlated with carbon emission intensity in the long term, whereas the concentration degree is positively correlated with carbon emission intensity in agricultural land, residential and commercial land, traffic land, and other land. The results also indicate that land use spatial distribution structure affects carbon emission intensity more intensively than energy efficiency and production efficiency do. These conclusions provide valuable reference to develop comprehensive policies for energy conservation and carbon emission reduction in a new perspective.
authors.affiliation: Sustainable Development Research Center, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Huang
authors.forename: Bin
authors.initials: B
authors.lastname: Xia
authors.forename: Lei
authors.initials: L
authors.lastname: Yang
mesh_terms: D000383:Agriculture; D002244:Carbon / Q000737:chemistry*; D002245:Carbon Dioxide / Q000737:chemistry; D002681:China; D003246:Conservation of Energy Resources; D004784:Environmental Monitoring / Q000379:methods*; D005579:Fossil Fuels; D007221:Industry; D012044:Regression Analysis; D012987:Soil / Q000032:analysis* / Q000737:chemistry; D062211:Spatio-Temporal Analysis
chemical_list: D005579:Fossil Fuels; D012987:Soil; D002245:Carbon Dioxide; D002244:Carbon