个人简历

唐葆君，1972年11月生，江西泰和人，管理学博士，教授，博士生导师，教育部青年长江学者。现任管理与经济学院副院长，能源与环境政策研究中心副主任，兼任中国优选法统筹法研究会能源经济与管理研究分会秘书长。主要研究领域包括能源金融、能源市场、能源产业投融资、新能源汽车产业政策。先后主持国家自然科学基金重点项目和面上项目、国家科技支撑计划专题、北京市自然科学基金面上项目、北京市哲学社科基地重点项目、教育部博士点基金等重要科研课题20余项，在国内外SCI、EI等重要学术期刊发表学术论文100余篇，出版专著6部，获省部级一等奖1次、二等奖2次、三等奖1次，专利3项。曾在日本名古屋大学合作研究（2013）

近期论文

学术著作
【1】唐葆君，胡玉杰，周慧羚. 北京市碳排放研究. 24万字，科学出版社，2016.
【2】魏一鸣，王兆华，唐葆君，廖华.气候变化智库：国外典型案例. 32万字，北京理工大学出版社，2015.
【3】唐葆君.新能源汽车：路径与政策研究. 24万字，科学出版社，2015.
【4】何颖，唐葆君.创新管理，30万字，经济管理出版社，2009.
【5】唐葆君.金融管理决策系统，金融出版社，51.2万字，2005.
部分国内外学术期刊发表文章
[1] Bao-Jun Tang*, Ru Li, Xiao-Yi Li, Hao Chen. An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies. Applied Energy, 2017, 206: 519-530. (SCI)
[2] Bao-Jun Tang*, Hui-Ling Zhou, Hao Chen, Kai Wang, Hong Cao. Investment opportunity in China's overseas oil project: An empirical analysis based on real option approach. Energy Policy, 2017, 105: 17-26. (SCI)
[3] Bao-Jun Tang*, Pi-Qin Gong, Cheng Shen. Factors of carbon price volatility in a comparative analysis of the EUA and sCER. Annals of Operations Research, 2017, 255(1-2): 157-168. (SCIE)
[4] Bao-Jun Tang*, Hui-Ling Zhou, Hong Cao. Selection of overseas oil and gas projects under low oil price. Journal of Petroleum Science and Engineering, 2017, 156: 160-166. (SCI)
[5] Bao-Jun Tang*, Xiao-Tong Song, Hong Cao. A study on overseas oil and gas investment to avoid the risk of the changes in tax policies: A case in China. Journal of Petroleum Science and Engineering, 2017, 160: 35-46. (SCI)
[6] Bao-jun Tang*, Pi-qin Gong, Yu-chong Xiao. Energy consumption flow and regional economic development: evidence from 25 countries, Journal of Modelling in Management, 2017, 12(1): 96-118.
[7] Bao-Jun Tang*, Yu-Jie Hu, Hua-Nan Li, Dong-Wei Yang, Jiang-Peng Liu. Research on comprehensive carrying capacity of Beijing–Tianjin–Hebei region based on state-space method. Natural Hazards, 2016, 84(1): 113-128. (SCI)
[8] Bao-Jun Tang*, Cheng Shen, Yi-fan Zhao. Market risk in carbon market: an empirical analysis of the EUA and sCER. Natural Hazards, 2015, 75(02): S333-S346. (SCI)
[9] Bao-Jun Tang*, Chen Sheng, Chao Gao. The Efficiency Analysis of the European CO2 Futures Market. Applied Energy, 2013, 112(SI): 1544-1547. (SCI)
[10] Bao-Jun Tang*, Xiao-Feng Wu, Xian Zhang. Modeling the CO2 Emissions and Energy Saved from New Energy Vehicles based on the Logistic-Curve. Energy Policy, 2013, 57: 30-35. (SCI)
[11] Bao-Jun Tang*, Xiao-Ping Shi, Chao Gao. Analysis on Embodied Energy of China’s Export Trade and the Energy Consumption Trends of Key Industries. International Journal of Energy Research. 2013, 37: 2019-2028. (SCI)
[12] Xiao-Yi Li, Bao-Jun Tang*. Incorporating the transport sector into carbon emission trading scheme: an overview and outlook. Natural Hazards, 2017, 88(2): 683-698. (SCI)
[13] Yu-Jie Hu, Rong Han, Bao-Jun Tang*. Research on the initial allocation of carbon emission quotas: evidence from China. Natural Hazards, 2017, 85(2): 1189-1208. (SCI)
[14] Yu-Jie Hu, Xiao-Yi Li, Bao-Jun Tang*. Assessing the operational performance and maturity of the carbon trading pilot program: The case study of Beijing’s carbon market. Journal of Cleaner Production, 2017, 161: 1263-1274. (SCI)
[15] Ye Ma, Ruo-Yu Ke, Rong Han, Bao-Jun Tang*. The analysis of the battery electric vehicle’s potentiality of environmental effect: A case study of Beijing from 2016 to 2020. Journal of Cleaner Production, 2017, 145: 395-406. (SCI)
[16] Jin-Wei Wang, Hua Liao*, Bao-Jun Tang*, Ruo-Yu Ke, Yi-Ming Wei*. Is the CO 2 emissions reduction from scale change, structural change or technology change? Evidence from non-metallic sector of 11 major economies in 1995–2009. Journal of Cleaner Production, 2017, 148: 148-157. (SCI)
[17] Zhi-Fu Mi, Yi-Ming Wei, Bao-Jun Tang*, Rong-Gang Cong*, Hao Yu, Hong Cao, Dabo Guan. Risk assessment of oil price from static and dynamic modelling approaches. Applied Economics, 2017, 49(9): 929-939. (SCI)
[18] Ru Li, Bao-Jun Tang*. Initial carbon quota allocation methods of power sectors: a China case study. Natural Hazards, 2016, 84(2): 1075-1089. (SCI)
[19] Pi-Qin Gong, Bao-Jun Tang*, Yu-Chong Xiao, Gao-Jie Lin, Jian-Yun Liu. Research on China export structure adjustment: an embodied carbon perspective. Natural Hazards, 2016, 84(1): 129-151. (SCI)
[20] Rong Han, Bao-Jun Tang, Jing-Li Fan, Lan-Cui Liu, Yi-Ming Wei*. Integrated weighting approach to carbon emission quotas: an application case of Beijing-Tianjin-Hebei region. Journal of Cleaner Production, 2016, 131: 448-459. (SCI)
[21] Jing-Li Fan, Hua Liao, Bao-Jun Tang, Su-Yan Pan, Hao Yu, Yi-Ming Wei*. The impacts of migrant workers consumption on energy use and CO2 emissions in China. Natural Hazards, 2016, 81(2): 725-743. (SCI)
[22] Xiao-Chen Yuan, Bao-Jun Tang, Yi-Ming Wei*, et al. China’s regional drought risk under climate change: a two-stage process assessment approach. Natural Hazards, 2015, 76(01): 667-684. (SCI)
[23] Jing-li Fan, Bao-Jun Tang, Hao Yu, Yun-Bing Hou, Yi-Ming Wei*. Impact of climatic factors on monthly electricity consumption of China’s sectors. Natural Hazards, 2015, 75(2): 2027-2037. (SCI)
[24] Jing-Li Fan, Bao-Jun Tang, Hao Yu, Yun-Bing Hou, Yi-Ming Wei*. Impacts of socioeconomic factors on monthly electricity consumption of China’s sectors. Natural Hazards, 2015, 75(2): 2039-2047. (SCI)
[25] Hao Yu, Bao-Jun Tang, Xiao-Chen Yuan, Shou-Yang Wang, Yi-Ming Wei*. How do the appliance energy standards work in China? Evidence from room air conditioners. Energy and Buildings, 2015, 86: 833–840. (SCI)
[26] Hao Yu, Su-Yan Pan, Bao-Jun Tang, Zhi-Fu Mi, Yan Zhang, Yi-Ming Wei*. Urban energy consumption and CO2 emissions in Beijing: current and future. Energy Efficiency, 2015, 8(03): 527-543. (SCI)
[27] Yan Zhang, Chen-Qi He, Bao-Jun Tang, Yi-Ming Wei*. China's energy consumption in the building sector: A life cycle approach. Energy and Buildings, 2015, 94: 240-251. (SCI)
[28] 唐葆君, 马也. “十三五” 北京市新能源汽车节能减排潜力. 北京理工大学学报: 社会科学版, 2016 (2): 13-17. (CSSCI)
[29] 唐葆君, 周保进, 张坤. 北京市能源消费影响因素分析及其节能减排研究—基于社会及私人交通视角. 中国能源, 2016, 38(8): 25-32.
[30] 唐葆君, 李茹. 基于 LMDI 模型的北京市电力部门碳排放特征研究. 中国能源, 2016, 38(3): 38-43.
[31] 唐葆君, 钱星月. 欧盟碳市场风险度量分析研究基于极值理论. 中国能源, 2016, 38(4): 40-43.
[32] 尹佳音, 唐葆君. 中国石油进口安全影响因素分析. 中国能源, 2016, 38(11): 29-33.
[33] 尹佳音, 唐葆君. 全球石油重大事件对国际油价影响分析. 中国能源, 2016, 38(2): 20-24.
[34] 周慧羚, 唐葆君, 胡玉杰. 中国石油期货市场的价格发现功能研究. 中国能源, 2016, 38(9): 26-31.
[35] 余畅, 唐葆君. 国际能源市场政策溢出效应分析与风险防范. 内蒙古财经大学学报, 2016, 14(4): 11-15.
[36] 余畅, 唐葆君. 中国管道天然气贸易国家行业近况与合作解析——以土库曼斯坦为例. 北方经济, 2016 (8): 36-39.
[37] 唐葆君, 周慧羚, 曹红. APEC成员碳排放与经济增长及对中国的政策启示. 管理学报, 2015, 12: 1865-1871. (CSSCI)
[38] 唐葆君, 周保进, 丰超. 北京市能源消费影响因素分析及节能减排研究——基于产业视角. 重庆理工大学学报(社会科学), 2015, 29(7): 19-27.
[39] 唐葆君, 刘江鹏. 中国新能源汽车产业发展展望. 北京理工大学学报(社会科学版), 2015 (2): 1-6. (CSSCI)
[40] 唐葆君, 胡玉杰, 魏一鸣, 李华楠, 刘江鹏, 杨东伟. 我国东北地区能源、经济、环境、生态承载力研究. 中国能源, 2015, 01: 31-36.
[41] 唐葆君, 李银玲. 居民生活行为对能源消费及二氧化碳排放的影响研究——以北京市为例. 工业经济论坛, 2015, 2(4): 1-20.
[42] 陈浩, 王茜, 唐葆君, 张皓, 赵鲁涛. 中国海外油气投资的现状分析与对策. 中国能源, 2015, 37(04): 23-25+13.
[43] 陈浩, 王茜, 唐葆君, 等. 中国海外油气投资的国际比较. 中国能源, 2015, 37(5): 30-33.
[44] 唐葆君, 沈丹进. 北京市道路客运交通碳排放研究及其情景分析. 北京理工大学学报(社会科学版), 2014,04: 8-12+27. (CSSCI)
[45] 唐葆君, 陶权. 纽约商业交易所天然气期货市场价格发现功能研究--基于G-S模型的实证分析. 中国能源, 2013, 35(03): 30-34.
[46] 唐葆君，刘江鹏.我国纯电动和混合动力公交车发展的经济性分析. 中国能源, 2013, 35(08): 37-41.
[47] 唐葆君，郑茜.中国电动汽车配套基础设施布局需求侧研究-基于Logit回归的消费偏好分析. 北京理工大学学报(社会科学版), 2013, 15(04): 14-19. (CSSCI)
[48] 唐葆君, 申程. 碳市场风险及预期收益——欧盟排放贸易体系与清洁发展机制的比较分析. 北京理工大学学报(社会科学版), 2013, 01: 12-18. (CSSCI)
[49] 唐葆君, 吴晓凤. 政府激励消费者购买混合动力汽车的政策影响分析. 中国能源, 2012, 34(1): 31-35.
[50] 唐葆君，石小平. 中国能源消费和经济增长关系实证研究. 中国能源, 2011, 33(11): 34-38.
[51] 唐葆君，郑茜. 我国混合动力汽车经济激励政策的效果分析. 中国能源, 2011, 33(07): 24-29.
[52] 唐葆君，郑茜. 中外新能源汽车产业技术创新比较分析. 能源技术与管理, 2011,10(05): 69-72.
[53] 唐葆君，邱菀华. 企业危机预警熵模型设计及应用研究. 系统工程理论与实践, 2009(04): 43-49. (CSSCI/Ei)
[54] 唐葆君，邱菀华. 基于熵理论的企业危机预警模型研究.控制与决策, 2009(01): 113-117. (CSSCI/Ei)
[55] 唐葆君，邱菀华. 基于极大熵聚类的工程项目风险预警模型. 北京航空航天大学学报(自然版), 2008, 34(7): 812-815. (CSSCI/Ei)
[1] 中国“双法”研究会能源经济与管理研究分会 秘书长
[2]《低碳经济》期刊 编委