PROGRESS IN GEOGRAPHY ›› 2013, Vol. 32 ›› Issue (4): 522-531.doi: 10.11820/dlkxjz.2013.04.004
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WANG Fei1,2, DONG Suocheng1, MAO Qiliang1,2
Received:
2012-06-01
Revised:
2012-11-01
Online:
2013-04-25
Published:
2013-04-25
WANG Fei, DONG Suocheng, MAO Qiliang. Evolution of China's industrial structure and regional disparities in energy consumption intensity[J].PROGRESS IN GEOGRAPHY, 2013, 32(4): 522-531.
Anselin L. 1988. Spatial econometric: Methods and models.Dordrecht: Kluwer Academic Publishers.Chen Y G. 2009. Reconstructing the mathematical process of spatial autocorrelation based on Moran's statistics, 28(6): 1449-1461. [陈彦光. 2009. 基于Moran 统计量的空间自 相关理论发展和方法改进. 地理研究, 28(6): 1449-1461.]Cornillie J, Fankhauser S. 2004. The energy intensity of transition countries. Energy Economics, 26(2): 225-238.Dong J, Zhang X. 2010. Decomposition of carbon emissions and low carbon strategies for industrial sector energy consumption in China. Resources Science, 32(10): 1856-1862. [董军, 张旭. 2010. 中国工业部门能耗碳排 放分解与低碳策略. 资源科学, 32(10): 1856-1862.]Feng T, Sun L, Zhang Y. 2009. The relationship between energy consumption structure, economic structure and energy intensity in China. Energy Policy, 37(12): 5475-5483.Fisher-Vanden K, Jefferson G H, Liu H M, et al. 2004. What is driving China's decline in energy intensity. Resource and Energy Economics, 26(1): 77-97.Ge Y, Yao S M, Pu Y X, et al. 2005. Application of spatial autocorrelation for the spatial patterns of urbanization and localization economy. Human Geography, (3): 21-25. [葛 莹, 姚士谋, 蒲英霞, 等. 2005. 运用空间自相关分析集 聚经济类型的地理格局. 人文地理, (3): 21-25.]Jayanthakumaran K, Verma R, Liu Y. 2012. CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India. Energy Policy, 42(10): 450-460.Lang C L. 2011. The regional disparity of energy consumption in China [D]. Shanghai, China: Shanghai Academy of Social Sciences. [郎春雷. 2011. 中国地区间能源消费差异 的实证研究[D]. 上海: 上海社会科学院.]Li G Z, Wang S. 2009. Regional energy intensity change decompositions based on GFI technique. China Population, Resources and Environment, 18(4): 62-66. [ 李国璋, 王 双. 2009. 区域能源强度变动: 基于GFI 的因素分解分 析. 中国人口·资源与环境, 18(4): 62-66.]Liu J J, Dong S C, Li Y. 2011. Spatial analysis on the contribution of industrial structure change to regional energy efficiency:A case study of 31 provinces in mainland China.Journal of Natural Resources, 26(12): 1999-2010. [刘佳 骏, 董锁成, 李宇. 2011. 产业结构对区域能源效率贡献 的空间分析: 以中国大陆31 省(市、自治区)为例. 自然 资源学报, 26(12): 1999-2010.]Lu D D, Fan J. 2009. 2050: Regional development of China.Beijing, China: Science Press. [陆大道, 樊杰. 2050: 中国 的区域发展. 北京: 科学出版社, 2009.]Ma H Y, Oxley L, Gibson J. 2009. Modeling China's energy consumption behavior and changes in energy intensity.Environmental Modelling & Software, 24(11): 1293-1301.Miketa A. 2001. Analysis of energy intensity developments in manufacturing sectors in industrialized and developing countries. Energy Policy, 29(10): 769-775.Petit J R, Jouzel J, Raynaud D. 1999. Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica. Nature, 399: 429-436.Qi S Z, Luo W. 2007. Regional economic growth and differences of energy intensity in China. Economic Research Journal, (7): 74-81. [齐绍洲, 罗威. 2007. 中国地区经济 增长与能源消费强度差异分析. 经济研究, (7): 74-81.]Shi D. 2002. The improvement of energy consumption efficiency in China's economic growth. Economic Research Journal, (9): 49-56. [史丹. 2002. 我国经济增长过程中能 源利用效率的改进. 经济研究, (9):49-56.]Shi D. 2006. Regional differences in China's energy efficiency and conservation potentials. China Industrial Economy, (10): 49-58. [史丹. 2006. 中国能源效率的地区差异与节 能潜力分析. 中国工业经济, (10):49-58.]Song F, Wang L L. 2012. An analysis of changing trends in China's energy intensity and provincial differences. Resources Science, 34(1): 13-19. [宋枫, 王丽丽. 2012. 中国 能源强度变动趋势及省际差异分析. 资源科学, 34(1): 13-19.]Wang C. 2011. Sources of energy productivity growth and its distribution dynamics in China. Resource and Energy Economics, 33(1): 279-292.Wu Y M, Li J X. 2008. Spatial econometric analysis of energy consumption of Chinese provinces. China Population Resources and Environment, 18(3): 93-98. [ 吴玉鸣, 李建 霞. 2008. 中国省域能源消费的空间计量经济分析. 中 国人口·资源与环境, 18(3): 93-98.]Yuan F H. 2010. The potential economic growth of China with restraint of low carbon economy. Economic Research Journal, (8): 79-89. [袁富华. 2010. 低碳经济约束下的中 国潜在经济增长. 经济研究, (8): 79-89.]Zhang L, Huang Y X, Li Y M, et al. 2010. An investigation on spatial changing pattern of CO2 emissions in China. Resources Science, 32(2): 211-217. [张雷, 黄园淅, 李艳梅, 等. 2010. 中国碳排放区域格局变化与减排途径分析. 资源科学, 32(2): 211-217.]Zhang L. 2008. Sectoral structure change in energy consumption and policy selection of industrial structure evolution in China. International Petroleum Economics, (7): 15-22. [张雷. 2008. 中国能源消费的部门结构变化及产业结构 演进的政策选择. 国际石油经济, (7): 15-22.]Zhang X P. 2008. Regional disparities in energy consumption intensity in China and determining factors. Resources Science, 30(6): 883-889. [张晓平. 2008. 中国能源消费强度 的区域差异及影响因素分析. 资源科学, 30(6): 883-889.] |
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