[1]
Zhang Jian-min and Yan Jih-uan, LEAP Model System Analysis [J] China's Energy, 1999, (06): 31-35.
Google Scholar
[2]
Second ASEAN Energy Demand Outlook, http: /www. energycommunity. org/documents/SecondASEANEnergyOutlook. pdf [EB]. 2009-12.
Google Scholar
[3]
Chi Chun-jie, Yu Bo, etc. Study on China's Future Energy Development Prospect Based on LEAP Model [J]. Technical Economy and Management Research, 2004 (5): 74-75.
Google Scholar
[4]
Li Ping. Research on North China's Natural Gas Market and LEAP Model Application [D]. Daqing: Daqing Petroleum Institute, (2009).
Google Scholar
[5]
Wang Bing-yan, Chen Chang-hong, etc., Analysis on Air Pollutant and CO2 Emissions Scenarios under Low Carbon Development: Shanghai Case Study [J]. Energy Research and Information, 2004, 20 (3): 137-145.
Google Scholar
[6]
BINS, DOWLATABADI H. Consumer lifestyle approach to us energy use and the related co2 emissions , Energy Policy, 2005, 33(2): 197-208.
DOI: 10.1016/s0301-4215(03)00210-6
Google Scholar
[7]
Lin Ye and Wang Qing-wei, LEAP-based Future Development Plan of Industrial Energy [J] . Economic Research Guide, 2008(15): 109-115.
Google Scholar
[8]
Europe's Share of the Climate Challenge, http: /www. climateshareeurope. org/EU27%20LowRes. pdf[EB]. 2009-12.
Google Scholar
[9]
Wang Xiao-hua, Study on Effect of Beijing's Logistics Development on Energy Saving and Emissions Reducing Based on LEAP Model [D]. Beijing: Beijing Jiaotong University, (2009).
Google Scholar
[10]
Zhu Yue-zhong, Scenario Design and Result Analysis for Medium or Long Term Energy Development and Carbon Emission of Future China's Transportation Department [J]. China's energy, 2001 (11): 25-27.
Google Scholar
[11]
Huang Cheng, Chen Chang-hong, etc., Impact of Urban Travel Mode on Energy and Environment [J]. Highway Traffic Technology, 2005, 20 (11): 163-166.
Google Scholar
[12]
Statistic Bureau of Henan Province. Henan Province's Statistical Yearbook 2006 [M]. Beijing: China Statistics Press, (2006).
Google Scholar
[13]
National Bureau of Statistics of China. China's Energy Statistical Yearbook 2006 [M]. Beijing: China Statistics Press, (2006).
Google Scholar
[14]
Li Ji-zun. Study on China's Energy Early Warning Model [M]. Beijing: Science Press, (2008).
Google Scholar