[1] Aydin G. Modeling of energy consumption based on economic and demographic factors: the case of Turkey with projections[J].Renewable and Sustainable Energy Reviews, 2014, 35: 382-389.
[2] Suganthi L, Anand A. Samuel energy models for demand forecasting—a review[J].Renewable and Sustainable Energy Reviews, 2012,16(2): 1223-1240m
[3] Parajuli R, stergaard P A, Dalgaard T, et al. Energy consumption projection of Nepal: An econometric approach[J].Renewable Energy, 2014, 63: 432-444.
[4] Yuan J, Xu Y, Hu Z, et al. Peak energy consumption and CO2 emissions in China[J].Energy Policy, 2014, 68: 508-523.
[5] Uzlu E, Kankal M, Akpinar A, et al. Estimates of energy consumption in Turkey using neural networks with the teaching-learning-based optimization algorithm[J].Energy, 2014, 75: 295-303.
[6] Ekonomou L. Greek long-term energy consumption prediction using artificialneural networks[J].Energy, 2010, 35:512-517.
[7] Ceylan H, Ozturk HK. Estimating energy demand of Turkey based on economicindicators using genetic algorithm approach[J].Energy Conversion andManagement, 2004,45(15-16):2525-2537.
[8] Wing S, Eckaus R S. The implications of historical decline in US energy intensity for long-run CO2 emission projections[J].Energy Policy, 2007, 35(11):5267-5286.
[9] 王铮,朱永彬,刘昌新,等. 最优增长路径下的中国碳排放估计[J].地理学报,2010,65(12):1559-1568.
Wang Zheng, Zhu Yongbin, Liu Changxin, et al. Integrated projection of carbon emission for China under optimal economic growth path[J].ActaGeographicaSinica, 2010, 65(12): 1559-1568.
[10] Vaillancourt K, Alcocer Y, Bahn O, et al. A Canadian 2050 energy outlook: analysis with the multi-regional model TIMES-Canada[J].Applied Energy, 2014, 132: 56-65.
[11] Richstein J C, Chappin E J L, de Vries L J. Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach[J].Energy Policy, 2014,71:139-158
[12] Natarajan S,Padget J, Elliott L. Modelling UK domestic energy and carbon emissions: an agent-based approach[J].Energy and Buildings, 2011, 43(10): 2602-2612.
[13] Liu Y. Relationship between industrial firms, high-carbon and low-carbon energy: An agent-based simulation approach[J].Applied mathematics and Computation, 2013, 219: 7472-7479.
[14] Zhang B, Zhang Y, Bi J. An adaptive agent-based modeling approach for analyzing the influence of transaction costs on emission trading markets[J].Environmental Modelling &Software, 2011, 26(4): 482-491.
[15] Desmarchelier B, Djellal F, Gallouj F. Environmental policies and eco-innovations by service firms: an agent-based model[J].Technological Forecasting and Social Change, 2013, 80(7): 1395-1408.
[16] Lee T, Yao R, Coker P. An analysis of UK policies for domestic energy reduction using an agent based tool[J].Energy Policy, 2014, 66: 267-279.
[17] Gerst M D, Wang P, Rovenini A, et al. Agent-based modeling of climate policy: an introduction to the ENGAGE multi-level model framework[J].Environmental Modelling & Software, 2013, 44:62-75.
[18] Mialhe F, Becu N, Gunnell Y. An agent-based model for analyzing land use dynamics in response to farmer behaviour and environmental change in the Pampanga delta (Philippines)[J].Agriculture, Ecosystems & Environment, 2012, 161: 55-69.
[19] Nannen V, van den Bergh J, Eiben A E. Impact of environmental dynamics on economic evolution: a stylized agent-based policy analysis[J].Technological Forecasting &Scial Change,2013, 80: 329-350.
[20] 顾高翔,王铮,姚梓璇. 基于自主体的经济危机模拟[J].复杂系统与复杂性科学, 2011, 8(4):27-35.
GuGaoxiang, Wang Zheng, Yao Zixuan. Agent-based simulation on economic crisis[J].Complex Systems and Complexity Science, 2011:8(4):27-35.
[21] 顾高翔,王铮. 基于三个生产部门的经济危机ABS动力学模拟[J].复杂系统与复杂性科学,2013,10(2): 1-12.
GuGaoxiang, Wang Zheng. TABS dynamics simulation of economic crisis based on three production sectors[J].Complex Systems and Complexity Science,2013,10(2):1-12.
[22] DosiG, FagioloG ,Napoletano M, et al. Income distribution, credit and fiscal policies in an agent-based Keynesian model[J].Journal of Economic Dynamics and Control, 37(8): 1598-1625.
[23] Neveu A R. Fiscal policy and business cycle characteristics in a heterogeneous agent macro model[J].Journal of Economic Behavior & Organization, 2013, 92:224-240.
[24] Dosi G, Fagiolo G,Roventini A. An Evolutionary Model of Endogenous Business Cycles[J].Computational Economics,2006, 27: 3-34.
[25] 张世伟,冯娟. 经济增长与收入差距:一个基于主体的经济模拟途径[J].财经科学,2007, 226:41-49.
Zhang Shiwei, Feng Juan. Economic growth and income inequality: an agent-based economic simulation approach[J].Finance & Economics, 2007,226:41-49.
[26] Rixen M, Weigand J. Agent-based simulation of policy induced diffusion of Smart Meters[J].Technological Forecasting and Social Change, 2013, 85:153-167.
[27] Sopha B M, Christian A K, Edgar G H. Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation[J].Energy Policy,2011, 39(5):2722-2729.
[28] Chappin E, Afman M. An agent-based model of transitions in consumer lighting: Policy impacts from the E.U. phase-out of incandescents[J].Environmental Innovation and Societal Transitions, 2013 , 7: 16-36.
[29] 刘小平, 黎夏, 叶嘉安. 基于多智能体系统的空间决策行为及土地利用格局演变的模拟[J].中国科学,2006, 36(11): 1027-1036.
Liu Xiaoping, Li Xia, Ye Jiaan. Agent-based simulation on spatial decision behavior and evolution of land use change[J].Science in China Ser. D Earth Sciences, 36(11):1027-1036.
[30] Arsanjani J J, Helbich M, Noronha Vaz E. Spatiotemporal simulation of urban growth patterns using agent-based modeling: the case of Tehran[J].Cities, 2013, 32: 33-42.
[31] Lorentz A, Savona M. Evolutionary micro-dynamics and changes in the economic structure[J].Journal of Evolutionary Economics, 2008, 18(3/4): 389-412.
[32] Craxi A,Licata A. Structural change and business cycles: an evolutionary approach[J].Papers on Economics and Evolution,2010,43(2):221-4.
[33] 龚轶,顾高翔,刘昌新,等. 技术创新推动下的中国产业结构进化[J].科学学研究,2013,31(8):1252-1259.
Gong Yi, GuGaoxiang, Liu Changxin, et al. Chinese industry structure evolution driven by innovation[J].Studies in Science of Science, 2013, 31(8): 1252-1259.
[34] 薛俊波. 基于CGE的中国宏观经济政策模拟系统开发及其应用[D].北京:中国科学院科技政策与管理科学研究所,2006.
XueJunbo. CGE modelling on China’s macroeconomy[D].Beijing: Institute of Policy and Management, Chinese Academy of Sciences, 2006.
[35] 石莹,刘昌新,吴静,等. 欧盟碳减排目标的经济可能性评估[J].世界地理研究,2013,22(3):18-29.
Shi Ying, Liu Changxin, Wu Jing, et al. Assessment of economic probability under the EU’s carbon emission reduction objective[J].World Regional Studies, 2013,22(3): 18-29.
[36] 朱永彬,王铮,庞丽,等. 基于经济模拟的中国能源消费与碳排放高峰预测[J].地理学报,2009,64(8):935-944.
Zhu YongBin, Wang Zheng, Pang Li, et al. Simulation on China’s economy and prediction on Energy consumption and carbon emission under optimal growth path[J].ActaGeographicaSinica, 2009,64(8): 935-944.
[37] 姜克隽,胡秀莲. 中国2050年低碳发展情景研究[C]//2050中国能源和碳排放研究课题组. 2050中国能源和碳排放报告. 北京:科学出版社,2009:753-819.
Jing Kejun, Hu Xiulian. Low-carbon scenarios by 2050 in China[C]//Research team on China’s energy use and carbon emission. 2050 China Energy and CO2 Emissions Report. Beijing: Science Press, 2009: 753-819.
[38] 杜强,陈乔,陆宁. 基于改进IPAT模型的中国未来碳排放预测[J].环境科学学报,2012,32(9):2294-2302.
Du Qiang, Chen Qiao, Lu Ning. Forecast of China’s carbon emissions based on modified IPAT model[J].Acta Scientiae Circumstantiae, 2012, 32(9): 2294-2302.
[39] 岳超,王少鹏,朱江玲,等. 2050年中国碳排放量的情景预测——碳排放与社会发展Ⅳ[J].北京大学学报(自然科学版),46(4):517-524.
Yue Peng, Wang Shaopeng, Zhu Jiangling, et al. 2050 carbon emissions projection for China—Carbon emissions and social development, IV[J].ActaScientiarumNaturaliumUniversitatisPekinensis, 46(4): 517-524.
[40] 梁慎宁,郭朝先. 基于STIRPAT模型的中国碳排放峰值预测研究[J].中国人口·资源与环境,2010,20(12):10-15.
Qu Shenning, GuoChaoxian. Forecast of China’s carbon emissions based on STIRPAT model[J].China Population Resources and Environment, 20(12): 10-15.
[41] 刘昌义,陈孜,渠慎宁. 中国的工业化进程与碳排放峰值[C]//应对气候变化报告——科学认知与政治争锋.王伟光,郑国光. 北京:社会科学文献出版社,2014:139-150.
Liu Changyi, Chen Zi, Qu Shenning. China’s emission peak and its industrialization process[C]//Annual Report on Actions to Address Climate Change. Wang Weiguang, Zheng Guoguang. Beijing: Social Sciences Academic Press (China), 2014: 139-150.
[42] 陆旸. 中国人口趋势与碳排放峰值[C]//应对气候变化报告——科学认知与政治争锋.王伟光,郑国光. 北京:社会科学文献出版社,2014:183-191.
Lu Yang. China’s emission peak and it’s residential consumption[C]//Annual Report on Actions to Address Climate Change. Wang Weiguang, Zheng Guoguang. Beijing: Social Sciences Academic Press (China), 2014: 183-191.
