孙青茹,河北省石家庄人,管理学博士,毕业于中国地质大学(北京)管理科学与工程专业,现就职于河北大学经济学院,副教授。美国佛罗里达大学访问学者。长期从事经济统计、资源经济、农业经济等领域的研究。目前共计发表国际SSCI/SCI论文和国内期刊论文20余篇,主要发表到经济类和能源类期刊《Energy》《Energy economics》《Journal of Economic Interaction and Coordination》《International Review of Financial Analysis》上。先后主持科研项目10项,主研科研项目10余项,主编或参与编写科研专著4部,是国际SSCI期刊《Resources Policy》《International Review of Financial Analysis》《Financial Innovation》和国内期刊《资源与产业》的匿名审稿人。
姓名: |
孙青茹 |
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学历/学位: |
博士 |
|
职称/职务: |
副教授 |
|
研究领域: |
资源经济,复杂经济系统建模与分析,经济统计分析,农业经济 |
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Email: |
sunqingru2011@126.com |
一、基本信息
姓名:孙青茹
性别:女
学位:博士
职称:副教授
社会兼职:国际SSCI期刊《Resources Policy》《International Review of Financial Analysis》《Financial Innovation》和国内期刊《资源与产业》的匿名审稿人。
二、教育背景
2011年9月至2015年7月,河北大学,学士/本科,信息管理与信息系统
2018年8月至2019年8月,美国佛罗里达大学,联合培养博士生(国家公派),能源经济学
2015年9月至2020年6月,中国地质大学(北京),博士/研究生(硕博贯通式),管理科学与工程
三、工作经历
2020年9月——2023年10月,河北大学经济学院,讲师
2023年11月至今,河北大学经济学院,副教授
四、教学内容
宏观经济学、统计学、社会调查与统计分析、经济学仿真实验、区域复杂经济系统分析
五、研究领域
资源经济,复杂经济系统建模与分析,经济统计分析,农业经济
六、主持的部分科研项目
[1] 主持,国际大宗商品价格极端波动对我国价格体系的风险传导及防控研究,教育部人文社科青年项目,在研
[2] 主持,供给侧与需求侧协同碳减排效应测度及河北省实现路径,河北省社科青年项目,在研
[3] 主持,河北省农业科技园区科技社会化服务评价及创新绩效研究,河北省软科学项目,结题
[4] 主持,河北省农业科技园区的“减污-降碳-经济发展”效应评估及提升路径研究,河北省教育厅项目,在研
[5] 主持,京津冀城市群“减污-降碳-经济发展”协同治理能力评价及提升路径研究,河北省统计科学研究项目,在研
[6] 主持,我国粮食产业高质量发展评价及河北省实现路径,河北省社会科研发展研究课题,结题
[7] 主持,产业链视角下大宗商品价格波动对我国粮食安全的影响测度研究,河北省教育厅青年拔尖人才项目,结题
[8] 主持,多源异质数据下京津冀区域粮食安全风险评价研究,河北省统计科学研究项目,结题
七、出版的学术专著
国际油价波动对我国商品价格的动态传导效应测度研究,经济学科出版社,2022.10
八、发表的部分学术论文
[1] Zenglei Xi, Jinxiu Yu, Qingru Sun(通讯作者), Wenqi Zhao, He Wang, Shuo Zhang. Measuring the multi-scale price transmission effects from crude oil to energy stocks: A cascaded view. International Review of Financial Analysis. 2023, 90: 102891.(SSCI,中科院一区Top期刊,影响因子8.2)
[2] Qingru Sun, Ruxia Ma, Zenglei Xi, He Wang, Ce Jiang, Hanyu Chen. Nonlinear impacts of energy consumption and globalization on ecological footprint: Empirical research from BRICS countries. Journal of Cleaner Production. 2023, 396: 136488.(SCI,中科院一区Top期刊,影响因子11.1)
[3] Qingru Sun, Wenqi Zhao, Zishuo Bai, Sui Guo, Jialin Liang, Zenglei Xi. Multi-scale pattern causality of the price fluctuation in energy stock market. Nonlinear Dynamics. 2024, DOI: 10.1007/s11071-024-09279-3.(SCI,中科院二区Top期刊,影响因子5.6)
[4] Qingru Sun, Xiangyun Gao, Jingjian Si, Xian Xi, Siyao Liu, Huiling Zheng, Wenting Liang. The evolution of the energy import dependence network and its influencing factors: taking countries and regions along the Belt and Road as an example. Journal of Business Economics and Management. 2022, 23(1):105-30.
[5] Qingru Sun, Haizhong An, Xiangyun Gao, et al. Effects of crude oil shocks on the PPI system based on variance decomposition network analysis[J]. Energy, 2019, 189:116378. DOI: 10.1016/j.energy.2019.116378.(SCI/SSCI期刊, JCR 1区排名前5%)
[6] Qingru Sun, Xiangyun Gao, Haizhong An, et al. Which time-frequency domain dominates spillover in the Chinese energy stock market?[J]. International Review of Financial Analysis, 2021, DOI: 10.1016/j.irfa.2020.101641.(SSCI期刊, JCR 1区)
[7] Qingru Sun, Xiangyun Gao, Ze Wang, et al. Quantifying the risk of price fluctuations based on weighted Granger causality networks of consumer price indices: evidence from G7 countries[J]. Journal of Economic Interaction and Coordination, 2020, 15:821-844. DOI: 10.1007/s11403-019-00273-2.(SSCI期刊, JCR 2区)
[8] Qingru Sun, Xiangyun Gao, Shaobo Wen, et al. Modeling the impulse response complex network for studying the fluctuation transmission of price indices[J], Journal of Economic Interaction and Coordination, 2019,14:835-838. DOI: 10.1007/s11403-018-0231-x. (SSCI期刊, JCR 2区)
[9] Qingru Sun, Xiangyun Gao, Shaobo Wen, et al. The transmission of fluctuation among price indices based on Granger causality network. Physica A: Statistical Mechanics and its Applications, 506(2018):36-49. (SCI/SSCI双检索, JCR Q2)
[10] Qingru Sun, Xiangyun Gao, Weiqiong Zhong, et al. The stability of the international oil trade network from short-term and long-term perspectives. Physica A: Statistical Mechanics and its Applications, 482(2017):345-356. (SCI/SSC双检索, JCR Q2)
[11] Sufang An; Xiangyun Gao; Haizhong An; Feng An; Qingru Sun; Siyao Liu. Windowed volatility spillover effects among crude oil prices. Energy, DOI: 10.1016/j.energy.2020.117521. (SCI/SSCI, JCR Q1排名前5%)
[12] Huiling Zheng; Xiangyun Gao; Qingru Sun; Xiaodan Han; Ze Wang. The impact of regional industrial structure differences on carbon emission differences in China: An evolutionary perspective. Journal of Clearner Production, DOI: https://doi.org/10.1016/j.jclepro.2020.120506. (SCI, JCR Q1排名7.2%)
[13] Yiran Xhao; Xiangyun Gao; Haizhong An; Xian Xi; Qingru Sun; Meihui Jiang. The effect of the mined cobalt trade dependence Network's structure on trade price. Resources Policy, DOI: https://doi.org/ 10.1016/j.resourpol.2020.101589. (SSCI, JCR Q1,ABS二星级期刊)
[14] Sufang An; Xiangyun Gao; Siyao Liu; Qingru Sun; Naifei Jia. Dynamic volatility spillovers among bulk mineral commodities: A network method. Resources Policy, DOI: https://doi.org/ 10.1016/j.resourpol.2020.101589. (SSCI, JCR Q1,ABS二星级期刊)
[15] Shuyu Liu; Shupei Huang; Yuxi Chi; Sida Feng; Yang Li; Qingru Sun. Three-level network analysis of the North American natural gas price: A multiscale perspective. International Review of Financial Analysis. DOI: 10.1016/j.irfa.2019.101420. (SSCI, JCR Q2,ABS三星级期刊)
[16] Xian Xi; Jinsheng Zhou; Xiangyun Gao; Donghui Liu; Huiling Zheng; Qingru Sun. Impact of changes in crude oil trade network patterns on national economy. Energy Economics, DOI: https://doi.org/10.1016/j.eneco.2019.104490. (SSCI, JCR Q1排名前7%)
[17] Siyao Liu; Xiangyun Gao; Wei Fang; Qingru Sun; Sida Feng; Xueyong Liu; Sui Guo. Modeling the Complex Network of Multidimensional Information Time Series to Characterize the Volatility Pattern Evolution. IEEE access, DOI: 10.1109/ACCESS.2018.2842069. (SCI, JCR Q1排名前15%)
[18] Ze Wang; Xiangyun Gao; Haizhong An; Renwu Tang; Qingru Sun. Identifying influential energy stocks based on spillover network. International Review of Financial Analysis,DOI: 10.1016/j.irfa.2018.11.004. (SSCI, JCR Q2,ABS三星级期刊)
[19] Ze Wang; Xiangyun Gao; Renwu Tang; Xueyong Liu; Qingru Sun; Zhihua Chen. Identifying influential nodes based on fluctuation conduction network model. Physica A: Statistical Mechanics and its Applications, 514(2019):355-369. (SCI/SSCI双检索, JCR Q2)
[20] Yanxin Liu, Huajiao Li, Jianhe Guan, Xueyong Liu, Qing Guan, Qingru Sun. Influence of different factors on prices of upstream, middle and downstream products in China's whole steel industry chain: Based on Adaptive Neural Fuzzy Inference System. Resources Policy, 60(2019):134-142. (SSCI, JCR Q2)
[21] Sui Guo, Huajiao Li, Haizhong An, Qingru Sun, Xiaoqing Hao, Yanxin Liu. Steel product prices transmission activities in the midstream industrial chain and global markets. Resources Policy, 60(2019):56-71. (SSCI, JCR Q2)
[22] Sida Feng, Shupei Huang, Yabin Qi, Xueyong Liu, Qingru Sun, Shaobo Wen. Network features of sector indexes spillover effects in China: A multi-scale view. Physica A: Statistical Mechanics and its Applications, 496(2018):461-473. (SCI/SSCI双检索, JCR Q2)
[23] 孙青茹, 黄书培, 王泽. 21世纪海上丝绸之路沿线国家海域资源勘探和油气投资环境评价研究[J]. 资源与产业, 2020,22(01):12-23.
[24] 孙青茹,宋高燕,常红.新文科背景下金融与理财课程教学创新实践探索[J].高教学刊,2024,10(22):72-75.DOI:10.19980/j.CN23-1593/G4.2024.22.017.
[25] 孙青茹,赵文琪,白子朔,等.京津冀城市治理能力现代化水平测度及影响因素研究[J].商业经济,2024,(06):50-52+100.DOI:10.19905/j.cnki.syjj1982.2024.06.028.
[26] 孙青茹,马如霞,白子朔.农业科技园区的经济发展带动效应——来自河北省县域的实证评估[J].中国农业资源与区划,2024,45(02):180-190.
[27] 孙青茹,席增雷,丁颖辉,等.融合智力因素与非智力因素的高校教学过程性评价探索[J].科教导刊,2023,(10):32-34.DOI:10.16400/j.cnki.kjdk.2023.10.011.
[28] 杨子贤,孙鑫,陈琦若,孙青茹(通讯作者).保定市农业碳排放的空间网络结构——基于社会网络分析法[J].农村经济与科技,2023,34(05):23-28.
[29] 孙青茹,武子怡,马诩涵.我国粮食产业高质量发展评价——基于标准差修正G1方法[J].河北民族师范学院学报,2022,42(04):96-104.DOI:10.16729/j.cnki.jhnun.2022.04.014.