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方国昌*

时间:2021-10-21


方国昌,男,山东省德州市人,1979年8月出生,中共党员,博士,博士后,经济学教授,硕士生导师。中国“双法”研究会低碳发展管理专业委员会常务委员,能源经济与管理研究分会理事,生态环境系统工程专委会委员,中国管理科学与工程学会能源环境管理分会委员,江苏省运筹学会理事。南京财经大学特聘教授。现任南京财经大学应用数学学院院长。


学习与工作经历:

2015.04-至今, 南京财经大学经济学院副教授、教授

2022.03-至今, 江苏省碳达峰碳中和科技发展战略研究院兼职研究人员

2013.09-至今, 江苏大学能源发展与环境保护战略研究中心兼职研究人员

2017.08-2018.09纽约州立大学宾汉姆顿分校 经济系 访问学者

2013.11-2017.06江苏大学管理学院 管理科学与工程博士后

2010.09-2013.06江苏大学理学院博士


主讲课程:

《计量经济学》、《应用博弈论》


研究领域:

应用统计、气候变化经济学、资源与环境经济学


荣誉称号:

江苏省“青蓝工程”中青年学术带头人

江苏省“六大人才高峰”高层次人才

江苏省“333工程”中青年学术技术带头人

江苏省“青蓝工程”优秀青年骨干教师

全国大学生数学建模比赛指导教师

江苏省非理科高等数学竞赛省级优秀指导教师

南京财经大学“先进工作者”


科研成果:

课题:

主持国家自然科学基金面上项目(NO: 72274092),在研

主持国家社科基金重大项目子课题(NO: 22&ZD136),在研

主持国家社科基金重点项目子课题(NO: 23AZD057),在研

主持江苏省碳达峰碳中和重大科技示范项目子任务(NO: BE2022612),在研

主持国家自然科学基金面上项目(NO: 71774077),结题(后评估优秀)

主持国家自然科学基金青年项目(NO: 71303205),结题(后评估优秀)

主持国家博士后科学基金特别资助项目(NO: 2015T80519),结题

主持国家博士后科学基金面上项目(NO: 2014M551524),结题

主持江苏省博士后基金项目(NO: 1401049C),结题

主持江苏省“六大人才高峰”高层次人才项目(NO: JNHB-026),结题

主持江苏省“333工程”科研项目(NO: BRA2017447),结题

主持江苏省普通高校研究生科研创新计划项目(NO: CXLX11_0589),结题

主持南京财经大学现代服务业协同创新中心专项课题,结题

主持南京财经大学“青年学者支持计划”资助项目,结题

主持南京市建筑垃圾处置中心建设可行性分析项目,结题

主持绿色循环基地经济社会及环境效益调查分析项目,结题

主持数字金融推动国网企业全要素生产效率提升项目,结题

作为主要参与人,完成国家自然科学基金重大项目、国家社会科学基金重大项目、国家自然科学基金面上项目、国家社科面上一般项目、教育部人文社会科学项目、江苏省软科学项目等多项。


代表性论文:

[1]Fang GC*, Huang M, Zhang WB, Tian LX. Exploring global embodied carbon emissions transfer network—An analysis based on national responsibility. Technological Forecasting & Social Change. 2024 (202): 123284. (SSCI&SCI, JCR-Q1)

[2]Fang GC, Huang M, Sun CW*. Revealing the hidden carbon flows in global industrial Sectors—Based on the perspective of linkage network structure.Journal of Environmental Management. 2024 (356): 120531. (SSCI&SCI, JCR-Q1)

[3]Fang GC*, Chen G, Yang K, Yin WJ, Tian LX. How does green fiscal expenditure promote green total factor energy efficiency? — Evidence from Chinese 254 cities. Applied Energy. 2024 (353): 122098. (SCI, JCR-Q1)

[4]Fang GC*, Meng AX, Wang QL*, Zhou HX, Tian LX. Analysis of the evolution path of new energy system under polymorphic uncertainty——A case study of China. Energy. 2024 (300): 131543. (SCI, JCR-Q1)

[5]Fang GC, Yang K, Chen G, Ren XH*, Taghizadeh-Hesary F*. Exploring the effectiveness of fiscal decentralization in environmental expenditure based on the CO2ecological footprint in urban China. Humanities and Social Sciences Communications. 2023 (10): 783 (SSCI, JCR-Q1)

[6]Fang GC*, Chen G, Yang K, Yin WJ, Tian LX. Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives. Energy. 2023 (269): 126818. (SCI, JCR-Q1, ESI高被引)

[7]Fang GC*, Yang K, Chen G, Tian LX. Environmental protection tax superseded pollution fees, does China effectively abate ecological footprints? Journal of Cleaner Production. 2023 (388), 135846. (SCI, JCR-Q1, ESI高被引)

[8]Fang GC, Gao ZY, Sun CW*. How the new energy industry contributes to carbon reduction? —Evidence from China. Journal of Environmental Management. 2023 (329), 117066. (SSCI&SCI, JCR-Q1)

[9]Fang GC*, Gao ZY, Tian LX, Fu M. What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data. Applied Energy. 2022 (312): 118772. (SCI, JCR-Q1, ESI高被引)

[10]Fang GC*, Yang K, Tian LX, Ma YT. Can environmental tax promote renewable energy consumption? — An empirical study from the typical countries along the Belt and Road. Energy. 2022 (260): 125193. (SCI, JCR-Q1)

[11]Fang GC*, Gao ZY, Wang L, Tian LX. How does green innovation drive urban carbon emission efficiency?—Evidence from the Yangtze River Economic Belt. Journal of Cleaner Production. 2022 (375), 134196. (SCI, JCR-Q1)

[12]Fang GC*, Wang L, Gao ZY, Chen JY, Tian LX. How to advance China’s carbon emission peak?— A comparative analysis of energy transition in China and the USA. Environmental Science and Pollution Research. 2022, 29, 71487–71501. (SCI, JCR-Q1)

[13]Fang GC, Tian LX, Yang ZL*. The construction of a comprehensive multidimensional energy index. Energy Economics. 2020 (90): 104875. (SSCI, JCR-Q1)

[14]Fang GC*, Wang QL, Tian LX. Green development of Yangtze River Delta in China under Population-Resources-Environment Development-Satisfaction perspective. Science of the Total Environment. 2020, 138710. (SSCI&SCI, JCR-Q1)

[15] Bai Y, Meng J, Meng FY,Fang GC*. Stochastic analysis of a shale gas investment strategy for coping with production uncertainties. Energy Policy. 2020, 111639. (SSCI&SCI, JCR-Q1)

[16]Fang GC*, Lu LX, Tian LX, He Y, Yin HB. Research on the influence mechanism of carbon trading on new energy—A case study of ESER system for China.Physica A: Statistical Mechanics and its Applications.2020, 123572. (SSCI&SCI, JCR-Q2)

[17]Fang GC, Lu LX, Tian LX, He Y, Bai Y*.Can China achieve the energy-saving and emission reducing objectives during the “13th Five-Year-Plan”? —A systematic evolutionary analysis. Journal of Cleaner Production. 2020, 121256. (SSCI&SCI, JCR-Q1)

[18]Fang GC*, Liu MH, Tian LX, Fu M, Zhang Y. Optimization analysis of carbon emission rights allocation based on energy justice—The Case of China. Journal of Cleaner Production. 2018 (202): 748–758. (SSCI&SCI, JCR-Q1)

[19]Fang GC*, Tian LX, Liu MH, Fu M, Sun M. How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price. Applied Energy. 2018 (211): 1039–1049. (SSCI&SCI, JCR-Q1)

[20]Fang GC*, Tian LX, Fu M, Sun M, He Y, Lu LX. How to promote the development of energy-saving and emission-reduction with changing economic growth rate—A case study of China. Energy. 2018 (143): 732-745. (SSCI&SCI, JCR-Q1)

[21]Fang GC*, Tian LX, Fu M, Sun M, Du RJ, Lu LX, He Y. The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China. Applied Energy. 2017 (196): 180–189. (SSCI&SCI, JCR-Q1)

[22]Fang GC*, Tian LX, Fu M, Sun M, Du RJ, Liu MH. Investigating carbon tax pilot in YRD urban agglomerations——Analysis of a novel ESER system with carbon tax constraints and its application. Applied Energy. 2017 (194): 635–647. (SSCI&SCI, JCR-Q1)

[23]Fang GC, Tian LX*, Fu M, Sun M. Government control or low carbon lifestyle?—Analysis and application of a novel selective constrained energy-saving and emission-reduction dynamic evolution system. Energy Policy 2014 (68): 498-507. (SSCI&SCI, JCR-Q1)

[24]Fang GC, Tian LX*, Fu M, Sun M. The impacts of carbon tax on energy intensity and economic growth—A dynamic evolution analysis on the case of China. Applied Energy. 2013 (110): 17-28. (SSCI&SCI, JCR-Q1)

[25]Fang GC, Tian LX*, Sun M, Fu M. Analysis and application of a novel three-dimensional energy- saving and emission-reduction dynamic evolution system. Energy. 2012 (40): 291-299. (SSCI&SCI, JCR-Q1)

[26]方国昌*,何宇,田立新.碳交易驱动下的政企碳减排演化博弈分析.中国管理科学.2024. 1-11. (基金委管理学部A类期刊)

[27]方国昌*,田立新,傅敏,孙梅.新能源发展对能源强度和经济增长的影响.系统工程理论与实践.2013 (11): 2795-2803. (基金委管理学部A类期刊)

[28]方国昌*,田立新,傅敏.政府调控对碳税的演化影响.系统工程学报.2014 (29): 612-618. (基金委管理学部A类期刊)


专利:

[1]Fang GC. METHOD FOR CONSTRUCTING COMPREHENSIVE MULTIDIMENSIONAL ENERGY INDEX CMEI.WIPO, NO: 2021/08707.


专著:

[1]碳交易驱动新能源发展路径优化与政策协同.中国财政经济出版社,2023(独著)

[2]节能减排路径优化理论分析及政策选择.北京:科学出版社, 2020(独著)

[3]能源碳排放系统分析.北京:科学出版社, 2013(合著)


获奖:

教育部第七届高等学校科学研究优秀成果奖(人文社会科学/经济学)一等奖(2015年,4/4)

江苏省第十三届哲学社会科学优秀成果奖一等奖(2014年,4/4)


EMAIL:fgchang79@163.com

TEL:025-86718456(O)

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