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
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 Research(SCI,ABS 4星期刊)、Energy Economics(SSCI)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