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学院概况

北京理工大学于1980年成立管理工程系。后为适应我国社会经济及高等教育发展的需要,1992年更名为管理学院,1998年更名为管理与经济学院。

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唐葆君

唐葆君

  
  

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近30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10部,获一等奖在内的省部级科学技术奖共6项,授权专利13项。曾在日本名古屋大学合作研究(2013)。


联系方式


通信地址: 北京市海淀区中关村南大街5号 北京理工大学管理与经济学院
       邮编:100081
       办公电话: 010-68918707
       邮箱: tbj@bit.edu.cn


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.

[6] 魏一鸣,廖华,唐葆君,郝宇. 中国能源报告(2016):能源市场研究.43万字,科学出版社,2016.



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] Jia Yue Huang, Yun Fei Cao, Zhou H L, Bao-Jun Tang*. Optimal investment timing and scale choice of overseas oil projects: A real option approach. Energies, 2018, 11(11): 2954.

[21] Chang-Jing Ji; Yu-Jie Hu; Bao-Jun Tang*, Research on carbon market price mechanism and influencing factors: a literature review, Natural Hazards, 2018.2, 92: 1~22.

[22] Chang-Jing Ji; Yu-Jie Hu; Bao-Jun Tang*; Shen Qu. Price drivers in the carbon emissions trading scheme: evidence from Chinese emissions trading scheme pilots. Journal of cleaner production, 2021, 278: 123469.

[23] Chang-Jing Ji; Yu-Jie Hu; Bao-Jun Tang*. Research on carbon price in emissions trading scheme: a bibliometric analysis. Natural Hazards, 2019, 99(3): 1381-1396.

[24] Bao-Jun Tang*, Ru Li, Bi-Ying Yu, et al. How to peak carbon emissions in China’s power sector: A regional perspective[J]. Energy Policy, 2018, 120:365–381.

[25] Bao-Jun Tang*; Yun Wu; Bi-Ying Yu; Ru Li; Xiang-Yu Wang. Co-current analysis among electricity-water-carbon for the power sector in China. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 745: 141005.

[26] Bao-Jun Tang*, Yu-Jie Hu. How to Allocate the Allowance for the Aviation Industry in China’s Emissions Trading System. Sustainability, 2019, 11(9): 2541.

[27] Bao-Jun Tang*, Chang-Jing Ji, Bi-Ying Yu, et al. Optimal carbon allowance price in China’s carbon emission trading system: Perspective from the multi-sectoral marginal abatement cost[J]. Journal of Cleaner Production, 2020, 253.

[28] Bao-Jun Tang*, Ru Li, Bi-Ying Yu, et al. Spatial and temporal uncertainty in the technological pathway towards a low-carbon power industry: A case study of China. Journal of Cleaner Production, 2019, 230: 720-733.

[29] Bao-Jun Tang*, Xiao-Yi Li, Bi-Ying Yu, et al. Sustainable development pathway for intercity passenger transport: A case study of China. Applied Energy, 2019, 254: 113632.

[30] Bao-Jun Tang*, Xiao-Yi Li, Bi-Ying Yu, et al. How app-based ride-hailing services influence travel behavior: An empirical study from China. International Journal of Sustainable Transportation, 2019: 1-15.

[31] Bao-Jun Tang*, Xiang-Yu Wang, Yi-Ming Wei. Quantities versus prices for best social welfare in carbon reduction: A literature review. Applied Energy, 2019, 233: 554-564.

[32] Wang Q, Rong Han, Huang Q, Bao-Jun Tang*. Research on energy conservation and emissions reduction based on AHP-fuzzy synthetic evaluation model: A case study of tobacco enterprises. Journal of cleaner production, 2018, 201: 88-97.

[33] Wang Q, Yu-Jie Hu, Hao J, Lv N, Li T Y, Bao-Jun Tang*. Exploring the influences of green industrial building on the energy consumption of industrial enterprises: A case study of Chinese cigarette manufactures. Journal of Cleaner Production, 2019, 231: 370-385.

[34] Qian Wang, Xiao-Yi Li, Zhan-Tao Zhang, Zhi-Lin Tao, Bao-Jun Tang*. Carbon emissions reduction in tobacco primary processing line: A case study in China. Journal of Cleaner Production, 2018, 175: 18-28.

[35] Xiang-Yu Wang, Bao-Jun Tang. Review of comparative studies on market mechanisms for carbon emission reduction: a bibliometric analysis. Natural Hazards, 2018, 94(3): 1141-1162.

[36] Jia-yin Yin, Yun-Fei Cao, Bao-Jun Tang*. Fairness of China’s provincial energy environment efficiency evaluation: empirical analysis using a three-stage data envelopment analysis model. Natural Hazards, 2019, 95(1-2): 343-362.


承担科研项目情况


[1] 国家自然科学基金重点项目:城市能源系统低碳转型的驱动机制及政策研究:以典型试点城市为例(项目号:71934004),2020,01-2024,12,负责人

[2] 国家重点研发计划“科技冬奥”重点专项课题:低碳冬奥监测与碳中和调控关键技术及示范应用(项目号:2021YFF0307000),2021.8-2022.12,负责人

[3] 国家自然科学基金面上项目:中国碳排放交易机制与碳配额分配方法研究(项目号:71573013),2016-2019,负责人

[4] 国家自然科学基金面上项目:低碳约束下电动汽车产业风险评估研究(项目号:71273031),2013-2016,负责人

[5] 北京市自然科学基金面上项目:北京市低碳发展路径与模式研究(项目号:9152014),2015-2017,负责人

[6] 北京社科基金研究基地重点项目: 北京市碳市场运行绩效及机制成熟度评估(项目号:15JDJGA084),2016-2018,负责人

[7] 国家科技支撑计划专题:中国应对气候变化的政策措施与行动及成效分析(项目号:2012bac19b11),2012-2015,负责人(第二)

[8] 教育部高等学校博士点基金:企业危机预警熵模型及方法研究(项目号:20101101120040),2011-2012,负责人

[9] 国家财政部:进口税收税式支出绩效评价研究(项目号:20152141030),2015,负责人

[10] 北京三达经济技术合作开发中心:国内外新能源汽车产业发展白皮书(项目号:20152141031),2015,负责人

[11] 工业与信息化部:中国各区域产业布局承载能力研究(项目号:20132116042),2013-2014,负责人(第二)

[12] 财政部:我国能源开发进口税收政策研究(项目号:20142141045),2014,负责人

[13] 中国设备监理协会:电力工业、石油和化学工业设备监理行业统计分析(项目号:20152141004),2015,负责人

[14] 中国科学院光电研究院:关于开展我国卫星导航学术交流的咨询报告(项目号:20132141065),2013-2014,负责人

[15] 北京理工大学基础研究基金:电动汽车产业政策风险评估和决策方法研究(项目号:3210012211311),2013-2014,负责人

[16] 北京市中关村科技园丰台园区政策研究:丰台园区节能环保产业的发展形势与对策研究(项目号:20132141036),2013,负责人

[17] 北京理工大学基础研究基金:新能源电动汽车产业化政策研究(项目号:20102142014),2011-2012,负责人

[18] 北京市中关村科技园区规划:丰台科技园企业可持续发展能力研究(项目号:3210041210001),2012,负责人

[19] 芜湖市国家级高新技术开发区规划:芜湖高新区重点产业“十二五”发展规划研究(项目号:20112141011),2011-2012,负责人

[20] 云南省省院省校教育合作人文社会科学研究项目:加快云南省知识密集型服务业发展的对策研究(项目号:Sysx201005),2010-2012,负责人


学术/社会兼职情况


[1]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 2016至今

[2]北京市“能源经济与环境管理”重点实验室 学术带头人、学术委员会委员 2017至今

[3]北京“经济社会可持续发展”哲学社科研究基地 副主任、学术委员会委员 2015至今

[4]《中国管理科学前沿》主编 2021至今

[5]中国优选法统筹法与经济数学研究会复杂系统研究委员会 副秘书长 2012至今


荣誉和奖励


[1] 能源需求及碳排放预测综合集成方法及其在能源“十三五”规划中的应用,国家能源局,能源软科学研究优秀成果奖,二等奖,2018,5/10

[2] 能源技术预见理论方法及其在油气工业上游的应用,国家能源局,能源软科学研究优秀成果奖,二等奖,2016,4/10

[3] 全球石油市场风险预测预警及中国石油安全保障战略研究,国家能源局,能源软科学研究优秀成果奖,一等奖,2015.12,2/6

[4] 新能源汽车:路径与政策研究,国家能源局,能源软科学研究优秀成果奖,三等奖,2015.12,2/10

[5] 石油价格预测方法与风险管理技术及其应用研究,教育部,高校科学研究优秀成果奖(科学技术)科技进步奖, 二等奖,2015.2,9/10

[6] 支持关键决策应用的仿真验证评估支撑平台研发及产业化,中国电子学会,电子信息科学技术进步奖,二等奖,2012.12,5/10


专利情况


[1] 区域电力节点及互联区域输配电量的配置优化方法、系统,2021.7,中国,发明专利号:ZL 2019 1 0618273.5 2/6

[2] 一种公共建筑电耗监督数据参数估计方法,2021.02,中国,发明专利号:ZL 2018 1373413.9,2/5

[3] 一种城市二氧化碳排放量监测系统及其运作方法,2020.09,中国,发明专利号:ZL 2018 1 0165889.7,3/8

[4] 一种碳捕获与封存技术路线图生成方法及系统,2020.06,中国,发明专利号:ZL 2018 1 0945814.0,3/6

[5] 机动监测汽车尾气中二氧化碳排放量的系统,2018.07,中国,发明专利号:ZL20172 1878064.7,3/7

[6] 挂壁式二氧化碳传感装置,2018.09,中国,发明专利号:ZL 2018 2 0280406.3,3/6

[7] 一种城市空气中二氧化碳含量监测系统,2018.07,中国,发明专利号:ZL 2017 2 1616546.5,2/8

[8] 集温螺旋管式太阳能与地源供暖制冷设施,2015.12,中国,发明专利号:ZL 2015 2 0320557.3,3/10

 

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