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The Scientific World Journal
Volume 2013, Article ID 309680, 15 pages
http://dx.doi.org/10.1155/2013/309680
Research Article

Relationship Study on Land Use Spatial Distribution Structure and Energy-Related Carbon Emission Intensity in Different Land Use Types of Guangdong, China, 1996–2008

Yi Huang,1,2 Bin Xia,1,3 and Lei Yang4

1Sustainable Development Research Center, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3School of Marine Sciences, Sun Yat-Sen University, Guangzhou 510006, China
4College of Resources and Environment, Guangdong University of Business Studies, Guangzhou 510320, China

Received 8 November 2012; Accepted 9 January 2013

Academic Editors: A. Greco, X. Qin, and F. Xiao

Copyright © 2013 Yi Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.