个人简历

魏一鸣现任北京理工大学讲席教授,副校长。教育部“长江学者奖励计划”特聘教授(2008年)、国家杰出青年科学基金获得者（2004年）、“国家“万人计划”领军人才（2017年）、国家自然科学基金创新研究群体“能源经济与气候政策”学术带头人（2015年），全国创新争先奖获奖者（2020年）。北京理工大学能源与环境政策研究中心主任，能源经济与环境管理北京市重点实验室主任。兼任中国优选法统筹法与经济数学研究会副理事长、能源经济与管理研究分会理事长等。受邀担任10余份国际期刊主编、副主编、编委或国际顾问，担任联合国政府间气候变化专门委员会 (IPCC) 第6次评估报告第三工作组能源系统的主要作者协调人(Coordinating Lead Author）。曾任中国科学院科技政策与管理科学研究所副所长（2000-2008年）、研究员；中国优选法统筹法与经济数学研究会秘书长（2001-2009年）和副理事长（2010-2019年）；曾任北京理工大学管理与经济学院院长(2009-2019年)。
　　长期从事能源环境系统工程和气候工程管理的研究和教学工作，在能源经济预测与决策建模、灾害风险评估、全球气候政策等领域开展了有创新的研究工作并做出了贡献。先后主持国家重点研发计划项目、国家自然科学基金创新研究群体项目、国家自然科学基金重大国际合作、973 计划课题、国家科技支撑计划项目、国家自然科学基金重点、欧盟FP7 等50 余项科研课题。著作20 余部；在包括4份《自然》子刊在内的国际主流期刊发表学术论文200 余篇，其中，SCI/SSCI收录200 余篇。论文累计他引 万余次、21篇入选ESI“高被引论文”。连续5年被评为“中国高被引学者” （Most Cited Chinese Researchers）。2018年、2019年入选全球高被引科学家。获13 项省部级科学技术或自然科学奖或哲学社会科学奖、其中一等奖 6项。向中央和国务院提交了多份政策咨询报告并得到了重视。研究成果在学术界和政府部门均有较大影响。
　　魏一鸣教授曾入选中国科学院“百人计划”（2005年）、中国青年科技奖（2001年）；纪念博士后制度20 周年“全国优秀博士后”称号（2005年）、“首批新世纪百千万人才工程国家级人选”（2004年）；获国务院政府特殊津贴（2004年）；全国优秀科技工作者（2012年）。
　　魏一鸣教授特别重视人才的培养，主讲的研究生课程《工业工程与管理》、《管理系统工程》先后被中国科学院研究生院评为优秀课程。曾获北京市优秀教师、中国科学院优秀研究生导师等荣誉称号

近期论文

学术著作（部分）
　　--------------------------------------------------------------------------------------------------------------------------------------------------
　　[1] 魏一鸣.气候工程管理：碳捕集与封存技术管理.北京:科学出版社,2020年.
　　[2] Y.-M. Wei, H Liao. Energy Economics: Understanding and Interpreting Energy Poverty in China. Howard House: Emerald, 2019.
　　[3] 魏一鸣,廖华,余碧莹,唐葆君.中国能源报告2018:源密集型部门绿色转型.北京:科学出版社,2018年.
　　[4] 魏一鸣,刘兰翠，廖华.中国碳排放与低碳发展.北京:科学出版社,2017年.
　　[5] 魏一鸣,廖华,唐葆君,郝宇.中国能源报告2016:能源市场研究.北京:科学出版社,2016年.
　　[6] Y.-M. Wei, H Liao. Energy Economics: Energy Efficiency in China. Heidelberg: Springer, 2016.
　　[7] 魏一鸣,廖华,王科,郝宇.中国能源报告2014:能源贫困研究.北京:科学出版社,2014年.
　　[8] 魏一鸣,张跃军.中国能源能源经济数字图解:2012-2013.北京:科学出版社,2013年.
　　[9] 魏一鸣,吴刚,梁巧梅,廖华.中国能源报告2012:能源安全研究.北京:科学出版社,2012年.
　　[10] 张跃军,魏一鸣. 石油市场风险管理:模型与应用.北京:科学出版社,2013年.
　　[11] 魏一鸣，廖华. 中国能源报告2010: 能源效率研究.北京: 科学出版社,2010年.
　　[12] 魏一鸣，周少平等. 国外油气与矿产资源利用风险评价与决策支持技术.北京: 地质出版社,2010年.
　　[13] 魏一鸣，王恺, 风振华,邹乐乐. 碳金融与碳市场: 方法与实证. 北京: 科学出版社,2010年.
　　[14] Y. M. Wei, L.C.Liu, G. Wu, L.-L-Zou. Energy Economics: CO2 Emissions in China. Heidelberg: Springer, 2010.
　　[15] Y. M. Wei, Y.Fan, Z.Y. Han and G. Wu. Energy Economics: Modeling and Empirical Analysis in China. New York: Taylor & Francis Group, 2010.
　　[16] 魏一鸣. 应对气候变化:能源与社会经济协调发展.北京:中国环境科学出版社,2010.(主编)
　　[17] 魏一鸣，刘兰翠，范英，吴刚.中国能源报告2008:碳排放研究.北京: 科学出版社,2008年.
　　[18] 魏一鸣，范英，韩智勇，吴刚.中国能源报告2006:战略与政策研究.北京: 科学出版社,2006年.
　　[19] 魏一鸣,方朝亮,李景明,延吉生等.中国石油天然气工业上游技术政策研究报告. 北京:科学出版社,2006年
　　[20] 魏一鸣,傅小锋,陈长杰.中国可持续发展管理理论与实践. 北京:科学出版社,2005年
　　[21] 金菊良,魏一鸣.复杂系统广义智能评价方法与应用.北京:科学出版社,2008年
　　[22] 范英,魏一鸣，应尚军. 金融复杂系统:模型与实证. 北京:科学出版社,2006年
　　[23] 胡清淮，魏一鸣. 线性规划及其应用. 北京:科学出版社,2004年
　　[24] 魏一鸣，金菊良.洪水灾害风险管理理论与实践. 北京:科学出版社,2002年
　　
　　教材
　　--------------------------------------------------------------------------------------------------------------------------------------------------
　　魏一鸣，廖华. 能源经济学（第3版）. 北京:中国人民大学出版社,2019年.
　　魏一鸣，焦建玲. 高级能源经济学. 北京:清华大学出版社,2013年.
　　魏一鸣，焦建玲，廖华. 能源经济学（第2版）. 北京:清华大学出版社,2013年.　

国际学术期刊发表的论文(部分)
--------------------------------------------------------------------------------------------------------------------------------------------------
　　（* 为通讯作者）
[1] Y.-M. Wei*, R. Han, C. Wang, B.-Y. Yu, Q.-M. Liang, X.-C. Yuan, J.-J Chang, Q. Zhao, H Liao, B. Tang, J. Yan, L. Cheng, Z. Yang, 2020, Self-preservation strategy for approaching global warming targets in the post-Paris Agreement era, Nature Communications, https://doi.org/10.1038/s41467-020-15453-z.
[2] Z. Mi , J. Zheng, J. Meng, J. Ou, K. Hubacek, Z. Liu, D. Coffman, N. Stern, S. Liang , Y.-M. Wei*, 2020, Economic development and converging household carbon footprints in China, Nature Sustainability, https://doi.org/10.1038/s41893-020-0504-y.
[3] Y. Hao, Y.-F. Chen, H. Liao, Y.-M. Wei, 2020, China's fiscal decentralization and environmental quality: theory and an empirical study, Environment and Development Economics, 25(2), pp 159-181.
[4] B. Yang, Y.-M. Wei*, Y.-B. Hou, H. Li, P. Wang, 2019, Life cycle environmental impact assessment of fuel mix-based biomass co-firing plants with CO2 capture and storage. Applied Energy, 252(113483), pp 1-13.
[5] Y.-M. Wei*, R. Han, Q.-M. Liang, B-Y. Yu, Y.-F. Yao, M.-M. Xue, K. Zhang, L.-J. Liu, J. Peng, P. Yang, Z-F. Mi, Y.-F. Du, C. Wang, J.-J. Chang, Q.-R. Yang, Z. Yang, 2018,An integrated assessment of INDCs under Shared Socioeconomic Pathways: an implementation of C3IAM. Natural Hazards, 92(2), pp 585-618.
[6] W.-G. Zhao, Y. Cao, B. Miao, K. Wang, Y.-M. Wei*, 2018. Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction. Energy Economics,71, pp 359-369.
[7] B.-Y. Yu, Y.-M. Wei, G.- Kei, Y. Matsuoka, 2018, Future scenarios for energy consumption and carbon emissions due to demographic transitions in Chinese households. Nature Energy, 3, pp.109–118.
[8] Z.-F Mi, J. Meng, D.-B. Guan, Y. Shan, M. Song, Y.-M. Wei, Z. Liu, K. Hubacek, 2017,Chinese CO2 emission flows have reversed since the global financial crisis, Nature Communications, 8, pp 1-10.
[9] D. Wiedenhofer, D. Guan, Z Liu, J. Meng, N. Zhang, Y.-M. Wei*, 2017, Unequal household carbon footprints in China. Nature Climate Change,7,pp 75–80.
[10] Y.-M. Wei*, J.-N. Kang, B.-Y. Yu, H. Liao, Y.-F. Du, 2017. A dynamic forward-citation full path model for technology monitoring: An empirical study from shale gas industry, Applied Energy, pp 769-780.
[11] Z.-F. Mi, Y.-M. Wei*, C.-Q. He, H.-N. Li, X.-C.Yuan, H. Liao, 2017,Regional efforts to mitigate climate change in China: a multi-criteria assessment approach. Mitigation and Adaptation Strategies for Global Change, 22, pp 45-66.
[12] H. Chen, J.-N. Kang, H. Liao, B.-J. Tang, Y.-M. Wei*, 2017. Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties, Energy Policy, 104, pp 23-32.
[13] B.-Y. Yu, Y. Ma, M.-M Xue, B.-J Tang, B. Wang, J.-Y Yan, Y.-M. Wei*, 2017. Environmental benefits from ridesharing: A case of Beijing, Applied Energy, pp 141-152.
[14] R. Han, B.-Y. Yu, B.-J. Tang, H. Liao, Y.-M. Wei*, 2017. Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective, Energy Policy, 106, pp298-309.
[15] Q. Cui, Y. Li, Y.-M.Wei, 2017, Exploring the impacts of EU ETS on the pollution abatement costs of European airlines: An application of Network Environmental Production Function, Transport Policy, 60, pp 131-142.
[16] Z.-F. Mi, Y.-M.Wei, B,-J. Tang, R.-G. Cong, H. Yu, H. Cao, D.-B. Guan, 2017. Risk assessment of oil price from static and dynamic modelling approaches, Applied Economics, 49, pp 929-939.
[17] J.-L. Fan, Q. Wang, S.-W. Yu, Y.-B. Hou, Y.-M.Wei, 2017. The evolution of CO2 emissions in international trade for major economies: a perspective from the global supply chain, Mitigation and Adaptation Strategies for Global Change, 22, pp 1229-1248.
[18] K. Wang, J. Zhang, Wei YM, 2017, Operational and environmental performance in China's thermal power industry: Taking an effectiveness measure as complement to an efficiency measure. Journal of Environmental Management, 192, pp.254-270.
[19] Q.-D. Qin, X.Li, W. Zhen, Y.-M. Wei*, 2017, Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas. Applied Energy, 185, pp 604-614.
[20] H.-Liao, X. Tang, Y.-M. Wei*, 2016, Solid fuel use in rural China and its health effects,Renewable and Sustainable Energy Reviews, 60, pp 900-908.
[21] H Liao, J.-W Cai, D.-W. Yang, Y.-M. Wei*, 2016, Why did the historical energy forecasting succeed or fail? A case study on IEA's projection.Technological Forecasting and Social Change, 107, pp 90-96.
[22] H. Chen,B.-J Tang, H. Liao, Y.-M. Wei*, 2016. A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China,Applied Energy, 183, pp 1333-1345.
[23] K. Wang, Y.-M. Wei*, 2016, Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator, Energy Economics, 54, pp 50-59.
[24] X.-C Yuan, X. Sun, U. Lall, Z.-F. Mi, J. He, Y.-M. Wei*, 2016, China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model, Climatic Change,139, pp169-181.
[25] Wang K, Wei YM, Huang Z, 2016,Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings. OMEGA-International Journal of Management Science, 63, pp48-59.
[26] H. Liao, Y.-F Du,Z.-M Huang, Y.-M. Wei*, 2016. Measuring energy economic efficiency: A mathematical programming approach,Applied Energy,179, pp 479-487.
[27] Wang K, Xian Y, Wei YM, Huang Z,2016. Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function. Ecological Indicators, 66, 545-555.
[28] H. Chen, H.Liao, B.-J Tang, Y.-M. Wei*, 2016, Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models, Energy Economics, 57, pp 42-49.
[29] Wang K, Zhang X, Yu X, Wei YM, Wang B,2016, Emissions trading and abatement cost savings: An estimation of China's thermal power industry. Renewable and Sustainable Energy Reviews, 65, pp1005-1017.
[30] Y. Hao, H. Liao, Y.-M. Wei*, 2015, Is China’s carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence. Applied Energy, 142, pp 229-239.
[31] H. Yu, B.-J. Tang, X.-C. Yuan, S. Wang, Y.-M. Wei*, 2015, How do the appliance energy standards work in China? Evidence from room air conditioners. Energy and Buildings, 86, pp 833-840.
[32] J.-L. Fan, B.-J. Tang, H. Yu, Y.-B. Hou, Y.-M. Wei, 2015, Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors. Natural Hazards, 75 (2), pp 2039-2047.
[33] B. Zhu, P. Wang, J. Chevallier, Y.-M. Wei, 2015, Carbon Price Analysis Using Empirical Mode Decomposition. Computational Economics, 45 (2), pp 195-206.
[34] Wang K, Wang YX, Li K, Wei YM, 2015, Energy poverty in China: An index based comprehensive evaluation. Renewable and Sustainable Energy Reviews, 47, pp 308-323.
[35] J. He, X.-H. Yang, J.-Q. Li, J.-L. Jin, Y.-M. Wei, X.-J. Chen, 2015, Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin, China. Natural Hazards, 75 (2), pp 199-217.
[36] J.-L. Fan, Q.-M. Liang, X.-J. Liang, H. Tatano, Y. Kajitani, Y.-M. Wei*, 2014, National vulnerability to extreme climatic events: the cases of electricity disruption in China and Japan. Natural Hazards, 71 (3), pp 1937-1956.
[37] Q.-M. Liang, Y.-F. Yao, L.-T. Zhao, C. Wang, R.-G. Yang, Y.-M. Wei*, 2014, Platform for China Energy & Environmental Policy Analysis: A general design and its application. Environmental Modelling & Software, 51, pp 195-206.
[38] J.-L. Jiao, K.-Y. Han, G. Wu, L.-L. Li, Y.-M. Wei, 2014, The effect of an SPR on the oil price in China: A system dynamics approach. Applied Energy, 133, pp 363-373.
[39] D.A. Johansson, P. Lucas, M. Weitzel, E. Ahlgren, A.B. Bazaz, W. Chen, M.J. den Elzen, J. Ghosh, M. Grahn, Q.-M. Liang, S. Peterson, B. Pradhan, B. van Ruijven, P.R. Shukla, D. van Vuuren, Y.-M. Wei, 2014, Multi-model comparison of the economic and energy implications for China and India in an international climate regime. Mitigation and Adaptation Strategies for Global Change, pp 1-25.
[40] G.C.K. Leung, A. Cherp, J. Jewell, Y.-M. Wei, 2014, Securitization of energy supply chains in China. Applied Energy, 123, pp 316-326.
[41] Z.A. Memon, Y.-M. Wei, M.G. Robson, M.A.O. Khattak, 2014, Keeping track of ‘corporate social responsibility’ as a business and management discipline: case of Pakistan. Journal of Cleaner Production, 74, pp 27-34.
[42] B. Wang, R.-Y. Ke, X.-C. Yuan, Y.-M. Wei*, 2014, China׳s regional assessment of renewable energy vulnerability to climate change. Renewable and Sustainable Energy Reviews, 40, pp 185-195.
[43] B. Wang, X.-J. Liang, H. Zhang, L. Wang, Y.-M. Wei*, 2014, Vulnerability of hydropower generation to climate change in China: Results based on Grey forecasting model. Energy Policy, 65, pp 701-707.
[44] B. Wang, I. Nistor, T. Murty, Y.-M. Wei*, 2014, Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach. Energy Economics, 46, pp 112-121.
[45] B. Wang, S.-Y. Pan, R.-Y. Ke, K. Wang, Y.-M. Wei*, 2014, An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database. Natural Hazards, 74 (3), pp 1649-1666.
[46] C. Wang, H. Liao, S.-Y. Pan, L.-T. Zhao, Y.-M. Wei*, 2014, The fluctuations of China’s energy intensity: Biased technical change. Applied Energy, 135, pp 407-414.
[47] K. Wang, Y.-M. Wei, 2014, China’s regional industrial energy efficiency and carbon emissions abatement costs. Applied Energy, 130, pp 617-631.
[48] Y.-M. Wei*, L. Wang, H. Liao, K. Wang, T. Murty, J. Yan, 2014, Responsibility accounting in carbon allocation: A global perspective. Applied Energy, 130, pp 122-133.
[49] Y. Yao, Q.-M. Liang, D.-W. Yang, H. Liao, Y.-M. Wei*, 2014, How China’s current energy pricing mechanisms will impact its marginal carbon abatement costs? Mitigation and Adaptation Strategies for Global Change, pp 1-23.
[50] H. Yu, S.-Y. Pan, B.-J. Tang, Z.-F. Mi, Y. Zhang, Y.-M. Wei*, 2014, Urban energy consumption and CO2 emissions in Beijing: current and future. Energy Efficiency, pp 1-17.
[51] S. Yu, Y.-M. Wei, H. Guo, L. Ding, 2014, Carbon emission coefficient measurement of the coal-to-power energy chain in China. Applied Energy, 114, pp 290-300.
[52] S. Yu, Y.-M. Wei, K. Wang, 2014, Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition. Energy Policy, 66, pp 630-644.
[53] X. Zhang, X. Wang, J. Chen, X. Xie, K. Wang, Y.-M. Wei, 2014, A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties. Applied Energy, 113, pp 1059-1067.
[54] B. Zhu, J. Chevallier, S. Ma, Y.-M. Wei, 2014, Examining the structural changes of European carbon futures price 2005–2012. Applied Economics Letters, 22 (5), pp 335-342.
[55] B. Zhu, S. Ma, J. Chevallier, Y.-M. Wei, 2014, Modelling the dynamics of European carbon futures price: A Zipf analysis. Economic Modelling, 38, pp 372-380.
[56] Z.-S. Zhu, H. Liao, H.-S. Cao, L. Wang, Y.-M. Wei*, J. Yan, 2014, The differences of carbon intensity reduction rate across 89 countries in recent three decades. Applied Energy, 113, pp 808-815.
[57] Y.-M. Wei*, L,-L Zou, K Wang, W,-J Yi, L Wang, 2013, Review of proposals for an Agreement on Future Climate Policy: Perspectives from the responsibilities for GHG reduction, Energy Strategy Reviews,2,pp 161-168.
[58] Q.-M Liang, Q Wang, Y.-M Wei,2013, Assessing the Distributional Impacts of Carbon Tax Among Households Across Different Income Groups: The Case of China, Energy & Environment,24,pp 1323-1346
[59] Liao H., Du J., Y.-M. Wei*, 2013, Energy Conservation in China: Key Provincial Sectors at Two-digit Level. Applied Energy, 104(1): pp457-465.
[60] Yuan X.C., Zhou Y.L., Jin J.L., Wei Y.-M.*, 2013, Risk analysis for drought hazard in China: a case study in Huaibei Plain. Natural Hazards, 67(2): pp 879-900.
[61] Fan J.L., Liao H., Liang Q.M., Tatano H, Liu C.F., Y.-M. Wei *, 2013, Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis. Applied Energy, 101:pp323-332.
[62] Wang K., Zhang X., Y.-M.Wei, 2013, Regional allocation of CO2 emissions allowance over provinces in China by 2020. Energy Policy, 54: pp 214-229.
[63] Zhu B. Z., Y.-M Wei, 2013, Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology. Omega, 41: pp 517-524.
[64] Zhang X, K Wang , Y Hao, J.-L Fan, Y.-M Wei,2013,The impact of government policy on preference for NEVs: The evidence from China,. Energy Policy, 61, 382-393.
[65] Wang P., Wu W., Zhu B.Z, Y.-M Wei., 2013, Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China. Applied Energy, 106:pp 65-71.
[66] Wang B., Yu H., Y.-M. Wei, 2013, Impact factors of public attitudes towards nuclear power development: a questionnaire survey in China. International Journal of Global Energy Issues, 36(1): pp 61-79.
[67] Wang K., Y.-M. Wei, Zhang X., 2013, Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis. Applied Energy, 104: pp105-116.
[68] Zhang X., J.-L. Fan,Y.-M.Wei, 2013, Technology roadmap study on carbon capture, utilization and storage in China, Energy Policy, 59, pp536–550.
[69] Wang K., Lu B., Y.-M. Wei, 2013, China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis. Applied Energy, 112: pp1403-1415.
[70] Wang K., Wang L., Y.-M. Wei, Ye M., 2013, Beijing storm of July 21, 2012: observations and reflections. Natural Hazards, 67: pp969-974.
[71] Wu G, Y.-M. Wei*, C. Nielsen, X Lu, M B. McElroy, 2012, A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies,Energy Economics, 34(4), pp 1234-1243.
[72] Jiao, J. L., Gan, H. H., Y.-M. Wei *, 2012, The Impact of Oil Price Shocks on Chinese Industries. Energy Sources(Part B: Economics, Planning, and Policy), 7(4): pp348-356.
[73] Yu S.W., Y.-M. Wei, Wang K., 2012, China's primary energy demands in 2020: predictions from an MPSO–RBF estimation model. Energy Conversion and Management, 61: 59-66.
[74] Liao H., Y.-M. Wei *, 2012, Will the Aggregation Approach affect Energy Efficiency Performance Assessment? Renewable and Sustainable Energy Reviews, 16(7): 4537-4542.
[75] Liang Q.M., Y.-M. Wei *, 2012, Distributional impacts of taxing carbon in China: Results from the CEEPA model. Applied Energy, 92(4): 545-551.
[76] Wang K. , Y.-M.Wei, Zhang X., 2012, A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs? Energy Policy, 46: 574-584.
[77] Fang, B., Liu, C. F., Zou, L. L., Y.-M. Wei*, 2012, The assessment of health impact caused by energy use in urban areas of China: an intake fraction–based analysis. Natural Hazards, 62(1): 101-114.
[78] Wu, G, Liu L. C, Han Z.-Y, Y.-M. Wei*, 2012, Climate protection and China’s energy security: Win–win or tradeoff. Applied Energy, 97(C), pp157-163.
[79] Wang Z.H., Zeng H.L., Y.-M. Wei *, Zhang Y.X., 2012, Regional total factor energy efficiency: An empirical analysis of industrial sector in China. Applied Energy, 97: 115-123.
[80] Yu S.W., Y.-M. Wei, 2012, Prediction of China's Coal Production-Environmental Pollution Based on a Hybrid GA-SD Model. Energy policy, 42(3): 521-529.
[81] Jin, J. L., Y.-M. Wei*,. L. L. Zou, L. Liu, Fu, J. 2012, Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation. Natural Hazards, 62(1):129-139.
[82] Yu S.W., Y.-M. Wei, Fan J.L., Zhang X., Wang K., 2012, Exploring the regional characteristics of inter - provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization. Applied Energy, 92: 552-562.
[83] Jin, J. L., Y.-M. Wei*, L. L. Zou, L., Liu, W., Zhang, Y. Zhou, 2012, Forewarning of sustainable utilization of regional water resources: a model based on BP neural network and set pair analysis. Natural Hazards, 62(1):115-127.
[84] Yu S.W., Y.-M. Wei, Wang K., 2012, A PSO–GA optimal model to estimate primary energy demand of China. Energy policy, 42(3): 329-340.
[85] Feng, Z.H., Y.-M. Wei, Wang, K., 2012, Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS. Applied Energy, 99: 97–108.
[86] Cong, R.G, Y.-M. Wei, 2012, Experimental comparison of impact of auction format on carbon allowance market. Renewable and Sustainable Energy Reviews, 16(6): 4148–4156.
[87] L.-C Liu, G. Wu, J.-N Wang, Y.-M. Wei*, 2011 ,China’s carbon emissions from urban and rural households during 1992-2007, Journal of Cleaner Production, 19( 3), pp 1754-1762.
[88] Z.-H Feng, L.-L. Zou, Y.-M. Wei*, 2011, Carbon price volatility: Evidence from EU ETS, Applied Energy, 88( 3), pp 590-598.
[89] Y.-J Zhang, Y.-M. Wei, 2011,The dynamic influence of advanced stock market risk on international crude oil return: an empirical analysis, Quantitative Finance, 11(7), pp 967–978.
[90] W.-J Yi, L.-L. Zou, J.Guo, K.-Wang, Y.-M. Wei*,2011,How can China reach its CO2 intensity reduction targets by 2020?A regional allocation based on equity and development, Energy Policy,39(5),pp 2407–2415.
[91] Z.-H Feng, L.-L. Zou, Y.-M. Wei*, 2011,The impact of household consumption on energy use and CO2 emissions in China, Energy, 36( 1), pp 656-670.
[92] Z.-H Feng, Y.-M. Wei*, 2011, How does carbon price change? Evidences from EU ETS, Int. J. Global Energy Issues,35( 3), pp 132-144.
[93] Y.-J Zhang, Y.-M. Wei*, 2010, The crude oil market and the gold market: Evidence for cointegration, causality and price discovery, Resource Policy, 35(3), pp 168-177.
[94] R.-G Cong, Y.-M. Wei*, 2010, Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation option, Energy, 35(9), pp 3921-3931.
[95] Y.-J Zhang, Y.-M. Wei*, 2010, An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect, Applied Energy, 87(6), pp 1804-1814.
[96] H. Liao, Y.-M. Wei*, 2010, China's energy consumption: A perspective from Divisia aggregation approach, Energy, 35(1), pp 28-34.
[97] J.-L Jiao, H.-Z Ge, Y.-M. Wei*, 2010, .Impact analysis of China’s coal-electricity price linkage mechanism: Results from a game model, Journal of Policy Modeling, 32,pp 574–588.
[98] J. Guo, L.-L. Zou, Y.-M. Wei*, 2010, Impact of inter-sectoral trade on national and global CO2 emissions: An empirical analysis of China and US, Energy Policy, 38(3), pp 1389-1397.
[99] L.-L. Zou, Y.-M. Wei*, 2010, Driving factors for social vulnerability to coastal hazards in Southeast Asia: results from the meta-analysis，Nat Hazards, 54(3), pp 901–929.
[100] L.-C Liu, J.-N. Wang, G. Wu, Y.-M. Wei*, 2010, China's regional carbon emissions change over 1997-2007, International Journal of Energy and Environment, 1(1), pp161-176.
[101] L-.Y. He, Y.Fan, Y.-M. Wei*, 2009, Impact of speculator's expectations of returns and time scales of investment on crude oil price behaviors, Energy Economics, 31(1), pp 77-84.
[102] G. Wu, L.-Cui Liu, Y.-M. Wei*, 2009, Comparison of China's oil import risk: Results based on portfolio theory and a diversification index approach, Energy Policy, 37(9), pp 3557-3565.
[103] Q.-M. Liang, Y. Fan, Y.-M. Wei*, 2009, The effect of energy end-use efficiency improvement on China’s energy use and CO2 emission: A CGE model-based analysis, Energy Efficiency, 2, pp 243-262.
[104] H. Liao, Y. Fan, Y.-M. Wei*, 2009, China’s targets 20% reduction in energy intensity by 2010, Int. J. Global Energy Issues, 31(1), pp 10-17.
[105] Y. Fan, S.-J Ying, B.-H. Wang, Y.-M. Wei*, 2009, The effect of investor psychology on the complexity of stock market: An analysis based on cellular automaton model, Computers & Industrial Engineering, 56(1), pp 63-69.
[106] J.-L. Jiao, Y. Fan, Y.-M. Wei*, 2009, The structural break and elasticity of coal demand in China, empirical findings from 1980-2006, Int. J. Global Energy Issues,, 31(4), pp 331-344.
[107] L.-L.Zou, Y.-M. Wei*, 2009, Impact assessment using DEA of coastal hazards on social-economy in Southeast Asia, Nature Hazards,48(1), pp 167–189.
[108] Y.-M. Wei*, G.. Wu, Y. Fan, L.C. Liu, 2008, Empirical analysis of optimal strategic petroleum reserve in China, Energy Economics, 30(2), pp 290-302.
[109] R.-G. Cong, Y. Fan, Y.-M. Wei*, 2008, Relationships between oil price shocks and stock market: An empirical analysis from China, Energy Policy, 36(9), pp 3544-3553.
[110] Y. Fan, Y.-J. Zhang, H.-T. Tsai, Y.-M. Wei*, 2008, Estimating ‘Value at Risk’ of crude oil price and its spillover effect using the GED-GARCH approach, Energy Economics, 30(6), pp 3156-3171.
[111] Y.-J. Zhang, Y. Fan, H.-T. Tsai, Y.-M. Wei*,2008,Spillover effect of US dollar exchange rate on oil prices, Journal of Policy Modeling, 30(6), pp 973-991.
[112] G.. Wu, Y. Fan, L.C. Liu, Y.-M. Wei*, 2008, An empirical analysis of the dynamic programming model of stockpile acquisition strategies for China's strategic petroleum reserve, Energy Policy, 36(4), pp 1470-1478.
[113] J.-L Jin, J.Cheng, Y.-M. Wei*,2008, Forecasting flood disasters using an accelerated genetic algorithm: Examples of two case studies for China, Nature Hazards, 44(2),pp 85–92.
[114] Y. Fan, Q.Liang, Y.-M. Wei*, 2008, A Generalized Pattern Matching Approach for Multi-step Prediction of Crude Oil Price, Energy Economics, 30(3), pp889-904.
[115] C.-H. Xu, J.-P. Hu, Y.- Fan, Y.-M. Wei*, 2008, Forecast on The Growth Climate of Chinas Passenger Vehicle Ownership. Int. J. Foresight and Innovation Policy, 4(3/4), pp348-358.
[116] Y.-M. Wei*, H. Liao, Y. Fan, 2007, An empirical analysis of energy efficiency in China's iron and steel sector. Energy, 32(12), pp 2262-2270.
[117] L.-C Liu, Y.Fan, G. Wu, Y.-M. Wei*, 2007. Using LMDI method to analyze the change of China’s industrial CO2 emissions from final fuel use: An empirical analysis. Energy Policy, 35(11): 5892-5900
[118] Y. Fan, L. C. Liu, G. Wu, H.-T. Tsai and Y.-M. Wei* 2007, Changes in carbon intensity in China: Empirical findings from 1980–2003, Ecological Economics, 62(3), pp 683-691.
[119] Q. -M. Liang, Y. Fan and Y. -M. Wei*, 2007, Carbon taxation policy in China: How to protect energy- and trade-intensive sectors?, Journal of Policy Modeling, 29(2), pp 311–333.
[120] Y.-M. Wei*, L. C. Liu, Y. Fan and G. Wu, 2007, The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents, Energy Policy, 35(1), pp 247-257.
[121] Q.M Liang, Y.Fan and Y.-M Wei*, 2007, Multi-regional input–output model for regional energy requirements and CO2 emissions in China, Energy Policy, 35(3), pp 1685-1700.
[122] Z.-Y Han, Y.Fan, J.-L Jiao, J.-S Yan, Y.-M. Wei*,2007, Energy structure, marginal efficiency and substitution rate: An empirical study of China, Energy, 32(6), pp 935-942.
[123] H. Liao, Y.Fan, Y.-M Wei*, 2007. What induced China's energy intensity to fluctuate: 1997-2006? Energy Policy,35(9),pp 4640-4649.
[124] J.L Jiao, Y. Fan, Y.-M. Wei*, Z.Y Han, J.T Zhang,2007,Analysis of the co-movement between Chinese and international crude oil price, Int. J. Global Energy Issues,, 27(1), pp 61-68.
[125] Y. Fan, H. Liao, Y.-M. Wei*, 2007, Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China, Energy Policy, 35(4), pp 2287-2295.
[126] Y. Fan, J.-L. Jiao, Q.-M Liao, Z.-Y. Han, Y.-M. Wei*, 2007, The impact of rising international crude oil price on China’s economy: an empirical analysis with CGE model, Int. J. Global Energy Issues, 27(4), pp404-424.
[127] Y. Fan, Q.M Liang, Y.M Wei* and N. Okada, 2007, A model for China's energy requirements and CO2 emissions analysis, Environmental Modelling & Software, 22(3), pp 378-393.
[128] L.-Y. He, Y. Fan, Y.-M. Wei*, 2007, The Empirical Study on Fractal Features and Long-run Memory Mechanism in the Petroleum Price Systems. Int. J. Global Energy Issues, 27(4),pp 492-502.
[129] Y. Fan, R.-G. Yang Y.-M. Wei, 2007, A system dynamics based model for coal investment, Energy, 32(6), pp 898-905.
[130] G. Wu, Y.-M. Wei*, Y. Fan, L.-C. Liu, 2007. An empirical analysis of the risk of crude oil imports in China using improved portfolio approach. Energy Policy, 35(8): 4190-4199.
[131] Y.-M. Wei*, Q.M Liang, Y. Fan, N. Okada and H.T. Tsai, 2006, A scenario analysis of energy requirements and energy intensity for China's rapidly developing society in the year 2020, Technological Forecasting and Social Change,73(4),pp 405-421.
[132] Y-M.Wei*, G.Wu,Y.Fan, and L.-C.Liu, 2006, Progress in energy complex system modeling and analysis. Int. J. Global Energy Issues, 2006, 25(1/2): 109-128.
[133] Y. Fan, L.C Liu, G Wu and Y.-M. Wei*, 2006,Analyzing impact factors of CO2 emissions using the STIRPAT model, Environmental Impact Assessment Review,26(4),pp 377-395.
[134] J.-T. Zhang, Y. Fan and Y.-M. Wei*, 2006, An empirical analysis for national energy R&D expenditures. Int. J. Global Energy Issues, 25(1/2), pp141–159.
[135] Y.-M.Wei, H. T. Tsai, Y. Fan, R. Zeng, 2004, Beijing’s Coordinated development of population, resources, environment and economy, Int. J. of Sustain. Dev. World Ecol, 11(9), pp 235-246.
[136] Y.-M.Wei*, Y.Fan, C.Lu, H.T.Tsai, 2004, The assessment of vulnerability to natural disasters in China by using the DEA method, Environmental Impact Assessment Review, 24(4), pp 427-439.
[137] Y.-M.Wei*, Q.-H.Hu, Y.Fan, 2004, Mathematical model for the optimization of the allocation of nonferrous raw materials in China, Computers and Industrial Engineering, 46(2/4),pp 283-303.
[138] Z.Y.Han, Y.Fan, Y.-M.Wei*, 2004, Study on the cointegration and causality between GDP and energy consumption in China, Int. J. Global Energy Issues, 22(2-4),pp225-232.
[139] Y. Fan, Y.-M.Wei*, W.-X Xu, 2004,Application of VaR methodology to risk management in the stock market in China,2004,Computers and Industrial Engineering, 46(2), pp 383-388.
[140] H.-L.Tung, H.-T.Tsai, Y.-M.Wei, D.Wei, 2004, Using DSR indicator system to evaluate Taiwan’s sustainable development, Int. J. Global Energy Issues, 22(2-4),pp242-258.
[141] W.-X.Xu, Y.-M.Wei*, 2004, Multiple objective-integrated methodology of global optimum decision-making on mineral resources exploitation, Computers and Industrial Engineering, 46(2),pp 363-372.
[142] Y.-M.Wei*, L.-P Zhang, Y.Fan,2003, Swarm based study on spatial-temporal emergence in flood, Kybernetes: The International Journal of Systems & Cybernetics , 32(5/6),pp 870-880.
[143] Y.-M.Wei*, Y. Fan,, W.-X. Xu,,2003, An integrated methodology for decision making of mining method selection, International Journal of Manufacturing Technology and Management, 5(1/2),pp 10-19.
[144] Y.-M.Wei, S.-J,Ying, Y.Fan, B.-H. Wang, 2003, The cellular automaton model of investment behavior in the stock market, Physica A: Statistical Mechanics and its Applications, 325(3/4),507-516.
[145] W.-X.Xu, Y.-M.Wei*,Y. Fan, 2002,Virtual enterprise and its intelligence management, Computers and Industrial Engineering,42(2/4), pp 199-205.
[146] Y.-M.Wei*, W.-X Xu, Y. Fan and H.-T. Tsai, 2002,Artificial neural network based predictive method for flood disaster, Computers and Industrial Engineering, 42(2/4),pp 363-372.
中国优选法统筹法与经济数学研究会能源经济与管理研究分会 理事长（2010-）
　　中国优选法统筹法与经济数学研究会 副理事长（2010-2019）
　　中国优选法统筹法与经济数学研究会 秘书长（2001-2010）
　　中国优选法统筹法与经济数学研究会复杂系统分会 理事长 （2006-）
　　中国优选法统筹法与经济数学研究会计算机模拟分会副理事长 （2002-）
　　中国能源研究会能源系统工程专业委员会副主任委员（2008-）
　　中国科学院预测科学研究中心副主任
　　国家自然科学基金委员会第11届、第12届管理科学学科评审组成员
　　华中科技大学、中国科学技术大学、南京航空航天大学、中国科学院研究生院、华东理工大学、昆明理工大学、中国矿业大学等大学的兼职教授