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。入选中央宣传部宣传思想文化青年英才、山东省“泰山学者”青年专家和山东大学杰出中青年学者，国家公派美国匹兹堡大学访问学者。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]    Zhou L., Zhang R., Zhang A., Li M., Li A. Understanding the role of energy sector in the outbreak of epidemic in China: An analysis based on SEIDR epidemic model, dynamic input-output model and resource allocation DEA model. Energy. 2024, 132137.

https://www.sciencedirect.com/science/article/pii/S036054422401911X

https://authors.elsevier.com/a/1jN1F_8CgJ2ZDt

[2]    Sun Y., Zhang R., Li A. A new concept of education-innovation-economy-environment sustainability system: a new framework of strategy-based network data envelopment analysis. (2024) Environment, Development and Sustainability. Online publication.

https://doi.org/10.1007/s10668-024-04729-9

[3]    Zhang R., Gao W., Chen S., Zhou L., Li A. Does digital transformation contribute to improving financing efficiency? Evidence and implications for energy enterprises in China. (2024) Energy. 300. art. 131271.

https://authors.elsevier.com/a/1j3rM1H%7Ec%7EPU3A

DEA程序在ResearchGate公开

[4]    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

[5]    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

[6]    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

[7]    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

[8]    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

[9]    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

[10] 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

[11]  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

[12]  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

[13]  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

[14]  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

[15]  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

[16]  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

[17]  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

DEA程序在ResearchGate公开

[18]  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

[19]  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

DEA程序在ResearchGate公开

[20]  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

[21]  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

[22]  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

[23]  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

[24]  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

[25]  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

[26]  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

[27]  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

[28] 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

[29]  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

[30]  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

[31]  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

[32]  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

[33]  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

[34]  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

[35]  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

[36]  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

[37]  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

[38]  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

[39]  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

[40]  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

[41]  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

本研究团队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，与国际著名教授合作科研，欢迎优秀学子加入，有意者请邮件联系。

（1）硕士研究生的招收和培养

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、勤奋用功。

n  系统培养计算机编程能力和建模能力。

n  优先考虑：喜欢科研，读博意愿强。

（2）博士研究生的招收和培养

n  专业：理论经济学（能源经济学）。

n  身心健康、喜欢钻研、勤奋用功。

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  系统培养计算机编程能力和建模能力，与国际著名教授合作研究。

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