李爱军

个人信息Personal Information

教授 博士生导师 硕士生导师

性别:男

毕业院校:厦门大学

学历:博士研究生毕业

学位:博士

在职信息:在职

所在单位:经济研究院

入职时间:2012-07-06

办公地点:山东大学中心校区邵逸夫科学馆210

联系方式:liaijun@sdu.edu.cn


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个人简介Personal Profile

李爱军,1980年生,山东青州人,经济学博士、博士后,山东大学三级岗教授、博士生导师。先后入选中央宣传部宣传思想文化青年英才(2019)、山东省泰山学者青年专家(2018)和山东大学杰出中青年学者(2019,国家公派美国匹兹堡大学访问学者(2019-2020)。研究团队以开发新模型为主要导向,主要涉及CGE(可计算一般均衡)模型、DEA(数据包络分析)模型、投入产出分析等线性规划和非线性规划模型,现有研究主要涉及环境经济学、能源经济学、数量经济学、气候变化经济学、健康经济学、生态经济学、灾难经济学等领域。已经在《经济研究》、European Journal of Operational ResearchSCIABS 4星期刊)、Energy EconomicsSSCI)等国内外顶级、权威期刊发表论文40多篇。其中,ABS 4星期刊1篇,Top Journal(学科前5%)发表论文30多篇。科研成果先后入选ESI热点论文(1篇)、ESI高被引论文(2篇),获得ELSEVIER最高引用论文奖(国际学术组织奖励)(1次)、山东省社会科学学科新秀奖、山东省社会科学优秀成果奖二等奖(4次)、福建省社会科学优秀成果奖三等奖(1次)。

 

国际英文期刊发表论文

[1]    Chen S., Li A., Hu L., N’Drin M.G.-R. Understanding the Efficiency in Generating Human Development in Sub-Saharan Africa: A Two-Stage Network DEA Approach (2024) Social Indicators Research, 171 (1), pp. 295 – 324. https://doi.org/10.1007/s11205-023-03255-x

[2]    Chen S., Zhang R., Li P., Li A. How to improve the performance of China's energy-transport-economy-environment system: An analysis based on new strategy parallel-series input-output data envelopment analysis models. (2023) Energy, 281, art. no. 128235. https://doi.org/10.1016/j.energy.2023.128235

[3]    Sun Y., Zhang R., Hu L., Li A. Understanding the performance of universities to promote technological innovation and transformation: An application to China based on a new network data envelopment analysis cross-efficiency model. (2023) Higher Education Quarterly, 77 (4), pp. 932 – 968. https://doi.org/10.1111/hequ.12442

[4]    Zhang R., Li A., Dahoro D.A. A new approach for vehicle-health system measurement by network data envelopment analysis and an application in the USA. (2023) Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03213-0

[5]    Zhang R., Lin X., Li A. Understanding the role of the government in promoting various sustainability sub-systems: An analysis based on new parallel-series network data envelopment analysis models. (2023) Journal of Cleaner Production, 398, art. no. 136593. https://doi.org/10.1016/j.jclepro.2023.136593

[6]    Liu H., Zhang R., Zhou L., Li A. Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models. (2023) Energy, 269, art. no. 126739. https://doi.org/10.1016/j.energy.2023.126739

[7]    Sueyoshi T., Zhang R., Li A. Measuring and Analyzing Operational Efficiency and Returns to Scale in a Time Horizon: Assessment of China’s Electricity Generation & Transmission at Provincial Levels. (2023) Energies, 16 (2), art. no. 1006. https://doi.org/10.3390/en16021006

[8]     Liu Y., Chen S., Zhang R., Lin X., Li A. Understanding the efficiency changes of green institutional environment: An application of two new cross-efficiency Benefit-of-the-Doubt models to China. (2022) Journal of Cleaner Production, 380, art. no. 134864. https://doi.org/10.1016/j.jclepro.2022.134864

[9]     Zhou L., Zhang R., Li A. New concepts for bootstrap-based cross-efficiency and relative weight analysis and an application to China's governance-finance-innovation-sustainability system. (2022) Journal of Cleaner Production, 379, art. no. 134549. https://doi.org/10.1016/j.jclepro.2022.134549

[10]  Zhang R., Li A., Dahoro D.A., Chen S. Technology inequality, Marginal Rate of Transformation and Rate of Substitution measurement by DEA: The sustainability improvement of passenger cars. (2022) Journal of Cleaner Production, 364, art. no. 132623. https://doi.org/10.1016/j.jclepro.2022.132623

[11]  Zhang R., Wei Q., Li A., Chen S. A new intermediate network data envelopment analysis model for evaluating China's sustainability. (2022) Journal of Cleaner Production, 356, art. no. 131845. https://doi.org/10.1016/j.jclepro.2022.131845

[12]  Liu X., Li A., Qu J., Xie C. Measuring environmental efficiency and technology inequality of China’s power sector: methodological comparisons among data envelopment analysis, free disposable hull, and super free disposable hull models. (2022) Environmental Science and Pollution Research, 29 (32), pp. 48607 – 48619. https://doi.org/10.1007/s11356-022-19313-9

[13]  Qu J., Li A., N’Drin M.G.-R. Measuring technology inequality across African countries using the concept of efficiency Gini coefficient. (2023) Environment, Development and Sustainability, 25 (5), pp. 4107 – 4138. https://doi.org/10.1007/s10668-022-02236-3

[14]  Zhang R., Wei Q., Li A., Ren L. Measuring efficiency and technology inequality of China's electricity generation and transmission system: A new approach of network Data Envelopment Analysis prospect cross-efficiency models. (2022) Energy, 246, art. no. 123274. https://doi.org/10.1016/j.energy.2022.123274

[15]  Sueyoshi T., Qu J., Li A., Liu X. A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces. (2021) Energy, 235, art. no. 121256. https://doi.org/10.1016/j.energy.2021.121256

[16]  Sueyoshi T., Zhang R., Qu J., Li A. New concepts for environment-health measurement by data envelopment analysis and an application in China. (2021) Journal of Cleaner Production, 312, art. no. 127468. https://doi.org/10.1016/j.jclepro.2021.127468

[17]  Sueyoshi T., Qu J., Li A., Xie C. Understanding the efficiency evolution for the Chinese provincial power industry: A new approach for combining data envelopment analysis-discriminant analysis with an efficiency shift across periods. (2020) Journal of Cleaner Production, 277, art. no. 122371. https://doi.org/10.1016/j.jclepro.2020.122371

[18]  Sueyoshi T., Liu X., Li A. Evaluating the performance of Chinese fossil fuel power plants by data environment analysis: An application of three intermediate approaches in a time horizon. (2020) Journal of Cleaner Production, 277, art. no. 121992. https://doi.org/10.1016/j.jclepro.2020.121992

[19]  Sueyoshi T., Li A., Liu X. Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes. (2019) European Journal of Operational Research, 279 (3), pp. 984 - 995. https://doi.org/10.1016/j.ejor.2019.06.037

[20]  Li A., Zhang A., Huang H., Yao X. Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions. (2018) Energy, 152, pp. 549 - 561. https://doi.org/10.1016/j.energy.2018.03.164

[21]  Sun C., Liu X., Li A. Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis. (2018) Energy Policy, 123, pp. 8 - 18. https://doi.org/10.1016/j.enpol.2018.08.029

[22]  Sueyoshi T., Li A., Gao Y. Sector sustainability on fossil fuel power plants across Chinese provinces: Methodological comparison among radial, non-radial and intermediate approaches under group heterogeneity. (2018) Journal of Cleaner Production, 187, pp. 819 - 829. https://doi.org/10.1016/j.jclepro.2018.03.216

[23]  Li J., Li A., Xie X. Rebound effect of transportation considering additional capital costs and input-output relationships: The role of subsistence consumption and unmet demand. (2018) Energy Economics, 74, pp. 441 - 455. https://doi.org/10.1016/j.eneco.2018.06.019

[24]  Zhang A., Li A., Gao Y. Social sustainability assessment across provinces in China: An analysis of combining intermediate approach with Data Envelopment Analysis (DEA) window analysis. (2018) Sustainability (Switzerland), 10 (3), art. no. 732. https://doi.org/10.3390/su10030732

[25] Li A., Zhang A., Zhou Y., Yao X. Decomposition analysis of factors affecting carbon dioxide emissions across provinces in China. (2017) Journal of Cleaner Production, 141, pp. 1428 - 1444. https://doi.org/10.1016/j.jclepro.2016.09.206

[26]  Li A., Peng D., Wang D., Yao X. Comparing regional effects of climate policies to promote non-fossil fuels in China. (2017) Energy, 141, pp. 1998 - 2012. https://doi.org/10.1016/j.energy.2017.11.108

[27]  Sueyoshi T., Yuan Y., Li A., Wang D. Social sustainability of provinces in China: A Data Envelopment Analysis (DEA)window analysis under the concepts of natural and managerial disposability. (2017) Sustainability (Switzerland), 9 (11), art. no. 2078. https://doi.org/10.3390/su9112078

[28]  Sueyoshi T., Yuan Y., Li A., Wang D. Methodological comparison among radial, non-radial and intermediate approaches for DEA environmental assessment. (2017) Energy Economics, 67, pp. 439 - 453. https://doi.org/10.1016/j.eneco.2017.07.018

[29]  Zhang Z., Zhang A., Wang D., Li A., Song H. How to improve the performance of carbon tax in China?. (2017) Journal of Cleaner Production, 142, pp. 2060 - 2072. https://doi.org/10.1016/j.jclepro.2016.11.078

[30]  Yao X., Zhou H., Zhang A., Li A. Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis. (2015) Energy Policy, 84, pp. 142 - 154. https://doi.org/10.1016/j.enpol.2015.05.001

[31]  Li A., Zhang Z., Zhang A. Why are there large differences in performances when the same carbon emission reductions are achieved in different countries?. (2015) Journal of Cleaner Production, 103, pp. 309 - 318. https://doi.org/10.1016/j.jclepro.2014.08.022

[32]  Li A., Du N., Wei Q. The cross-country implications of alternative climate policies. (2014) Energy Policy, 72, pp. 155 - 163. https://doi.org/10.1016/j.enpol.2014.05.005

[33]  Sun C., Ouyang X., Cai H., Luo Z., Li A. Household pathway selection of energy consumption during urbanization process in China. (2014) Energy Conversion and Management, 84, pp. 295 - 304. https://doi.org/10.1016/j.enconman.2014.04.038

[34]  Li A., Zhang A., Cai H., Li X., Peng S. How large are the impacts of carbon-motivated border tax adjustments on China and how to mitigate them?. (2013) Energy Policy, 63, pp. 927 - 934. https://doi.org/10.1016/j.enpol.2013.08.020

[35]  Li A., Lin B. Comparing climate policies to reduce carbon emissions in China. (2013) Energy Policy, 60, pp. 667 - 674. https://doi.org/10.1016/j.enpol.2013.04.041

[36]  Li A., Zhang A. Will carbon motivated border tax adjustments function as a threat?. (2012) Energy Policy, 47, pp. 81 - 90. https://doi.org/10.1016/j.enpol.2012.04.023

[37]  Lin B., Li A. Impacts of removing fossil fuel subsidies on China: How large and how to mitigate?. (2012) Energy, 44 (1), pp. 741 - 749. https://doi.org/10.1016/j.energy.2012.05.018

[38]  Lin B., Li A. Impacts of carbon motivated border tax adjustments on competitiveness across regions in China. (2011) Energy, 36 (8), pp. 5111 - 5118. https://doi.org/10.1016/j.energy.2011.06.008

 

部分论文及DEA模型程序代码:

https://www.researchgate.net/profile/Aijun-Li-3(持续更新中,如果有错误,欢迎反馈,多谢!)

 

主持项目

[1]     国家社科基金重大项目(项目编号:23ZDA109,子课题负责人,在研)。

[2]     山东大学人文社会科学重大项目(项目编号:21RWZD16,在研)。

[3]     国家自然科学基金面上项目(项目编号:71873078,已结题)。

[4]     山东省自然科学基金面上项目(项目编号:ZR2019MG020,已结题)。

[5]     山东大学青年学者未来计划(项目编号:2016WLJH02,已结题)。

[6]     国家自然科学基金青年项目(项目编号:71403147,已结题)。

[7]     教育部人文社会科学研究青年项目(项目编号:13YJC790065,已结题)。

[8]     山东省社会科学规划研究青年项目(项目编号:12DJJJ12,已结题)。

[9]     中国博士后科学基金面上项目(一等资助,项目编号:2013M530309,已结题)。

[10]  中国博士后科学基金面上项目(特别资助,项目编号:2014T70625,已结题)。

[11]  山东省博士后科学基金面上项目(项目编号:201302040,已结题)。

 

学术奖励及荣誉

u  Elsevier(爱思唯尔)最高引用论文奖(国际学术组织奖励,2018

u  山东大学杰出中青年学者(2019

u  山东省泰山学者青年专家(2018

u  山东省第二十八次社会科学优秀成果二等奖(第一作者,2014

u  山东省第三十次社会科学优秀成果二等奖(第一作者,2016

u  山东省第三十一次社会科学优秀成果二等奖(第一作者,2017

u  山东省第三十三次社会科学优秀成果二等奖(第一作者,2019

u  福建省第十二次社会科学优秀成果三等奖(第四作者,2018

u  山东省社会科学学科新秀奖(2019

u  中央宣传部宣传思想文化青年英才(2019

 

教授课程

能源经济学(硕士、博士)

产业与金融(本科微专业)

碳中和经济学(本科通识核心课)

 

硕士、博士研究生的招收与培养

本人已经探索出一条研究生参与科研、在国际权威期刊上发表论文的培养模式,与国际资深教授合作科研,欢迎优秀学子加入,有意者请邮件联系。

1)硕士研究生的招收

n  专业:理论经济学。

n  学科背景不限,恪守学术道德。

n  身心健康、脚踏实地、勤奋用功、喜欢钻研。

n  优先考虑:喜欢科研,读博意愿强。

2)博士研究生的招收

n  专业:理论经济学(能源经济学)。

n  身心健康、脚踏实地、勤奋用功、喜欢钻研。

n  恪守学术道德,对本人的研究方向感兴趣,有学术理想。

n  优先考虑(任选):具有良好的数学基础,具有良好的计算机编程基础,具有良好的经济学基础。

n  欢迎优秀学子加入,可以直接与本人邮件联系。

3)获得国家奖学金的研究生:

刘晓红(博士)、张入川(博士)、周丽娟(硕士)、刘颖(硕士)。

 

n  联系方式liaijun@sdu.edu.cn

 

 


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