李爱军，1980年生，山东青州人，经济学博士、博士后，山东大学经济研究院教授、博士生导师，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., Zhang, R., Li, P., Li, A. 2023. 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. Energy. 281C (2023) 128235. https://doi.org/10.1016/j.energy.2023.128235.
[2] Sun, Y., Zhang, R., Hu, L., Li, A. 2023. 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. Higher Education Quarterly, 00, 1–37. https://doi.org/10.1111/hequ.12442.
[3] Zhang, R., Li, A., Dahoro, D.A., 2023. A new approach for vehicle‑health system measurement by network data envelopment analysis and an application in the USA. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-03213-0 (online publication).
[4] Zhang, R., Lin, X., Li, A, 2023. Understanding the role of the government in promoting various sustainability sub-systems: an analysis based on new parallel-series network data envelopment analysis models. Journal of Cleaner Production. 398, 136593. https://www.sciencedirect.com/science/article/pii/S0959652623007515?dgcid=author
[5] Liu, H.Y., Zhang, R., Zhou, Li, Li, A, 2023. Evaluating the financial performance of companies from the perspective of fund procurement and application: new strategy cross efficiency network data envelopment analysis models. Energy. 269C, 126739. https://authors.elsevier.com/sd/article/S0360-5442(23)00133-0
[6] Sueyoshi, T., Zhang, R., Li, A, 2023. Measuring and Analyzing Operational Efficiency and Returns to Scale in a Time Horizon: Assessment of China’s Electricity Generation & Transmission at Provincial Levels. Energies. 16, 1006. https:// doi.org/10.3390/en16021006.
[7] Liu, Y., Chen, S., Zhang, R., Lin, X., Li, A., 2022. Understanding the efficiency changes of green institutional environment: an application of two new cross-efficiency Benefit-of-the-Doubt models to China. Journal of Cleaner Production. 380, 134864.
[8] Zhou, L., Zhang, R., Li, A., 2022. New concepts for bootstrap-based cross-efficiency and relative weight analysis and an application to China’s governance-finance-innovation-sustainability system. Journal of Cleaner Production. 379, 134549.
[9] Zhang, R., Li, A., Dahoro. D.A., Chen, S., 2022. Technology Inequality, Marginal Rate of Transformation and Rate of Substitution measurement by DEA: The Sustainability Improvement of Passenger Cars. Journal of Cleaner Production. 364, 132623.
[10] Zhang, R., Wei, Q., Li, A., Chen, S., 2022. A new intermediate network data envelopment analysis model for evaluating China's sustainability. Journal of Cleaner Production. 356, 131845.
[11] Liu, X., Li, A., Qu, J., Xie, C., 2022. 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. Environmental Science and Pollution Research. 29(32), 48607–48619.
[12] Qu, J., Li, A., N’Drin, M.G.-R., 2022. Measuring technology inequality across African countries using the concept of efficiency Gini coefficient. Environment, Development and Sustainability. In press. DOI: 10.1007/s10668-022-02236-3.
[13] Zhang, R., Wei, Q., Li, A., Ren, L., 2022. 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. Energy. 246, 123274. (SCI，影响因子：7.147，corresponding author)
[14] Sueyoshi, T., Qu, J., Li, A., Liu, X., 2021. A new approach for evaluating technology inequality and diffusion barriers: the concept of efficiency Gini coefficient and its application in Chinese provinces. Energy. 235, 121256 (SCI，影响因子：7.147，corresponding author)
[15] Sueyoshi, T., Zhang, R., Qu, J., Li, A., 2021. New concepts for environment-health measurement by data envelopment analysis and an application in China. Journal of Cleaner Production. 312, 127468 (SCI，影响因子：9.297，corresponding author)
[16] Sueyoshi, T., Qu, J., Li, A., Xie, C., 2020. 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. Journal of Cleaner Production. 277, 1223711. (SCI，影响因子：9.297，corresponding author)
[17] Sueyoshi, T., Liu, X., Li, A., 2020. Evaluating the Performance of Chinese Fossil Fuel Power Plants by Data Environment Analysis: An Application of Three Intermediate Approaches in a Time Horizon. Journal of Cleaner Production. 277, 121992. (SCI，影响因子：9.297，corresponding author)
[18] Sueyoshi, T., Li, A., Liu, X., 2019. Exploring Sources of China’s CO2 Emission: Decomposition Analysis under Different Technology Changes. European Journal of Operational Research. 279, 984-995. (SCI，影响因子：4.213, ABS 4星期刊，corresponding author)
[19] Li, A., Zhang, A., Huang, H., Yao, X., 2018. Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions. Energy. 152, 549-561. (SCI，影响因子：5.537)
[20] Sun, C., Liu, X., Li, A., 2018. Measuring Unified Efficiency of Chinese Fossil Fuel Power Plants: Intermediate Approach Combined with Group Heterogeneity and Window Analysis. Energy Policy. 123, 8-18. （SSCI&SCI，影响因子：4.880，corresponding author）
[21] Sueyoshi, T., Li, A., Gao, Y., 2018. Sector Sustainability on Fossil Fuel Power Plants across Chinese Provinces: Methodological Comparison among Radial, Non-radial and Intermediate Approaches under Group Heterogeneity. Journal of Cleaner Production. 187, 819-829. (SCI，影响因子：6.395，corresponding author)
[22] Li, J., Li, A., Xie, X., 2018. Rebound effect of transportation considering additional capital costs and input-output relationships: The role of subsistence consumption and unmet demand. Energy Economics. 74, 441-455. （SSCI，影响因子：4.151）
[23] Zhang, A. Li, A. Gao, Y., 2018. Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis. Sustainability（Switzerland）, 10(3), 732. (SSCI&SCI, 影响因子: 2.592, corresponding author)
[24] Li, A., Zhang, A., Zhou, Y., Yao, X., 2017. Decomposition analysis of factors affecting carbon dioxide emissions across provinces in China. Journal of Cleaner Production. 141, 1428-1444. (SCI，影响因子：5.651)
[25] Li, A., Peng, D., Wang, D., Yao, X., 2017. Comparing regional effects of climate policies promoting non-fossil fuels in China. Energy. 141, 1998-2012. (SCI, 影响因子: 4.968)
[26] Sueyoshi, T., Yuan, Y., Li, A., Wang, D., 2017. Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability. Sustainability. 9, 2078; doi:10.3390/su9112078. (SSCI &SCI, 影响因子: 2.075, corresponding author)
[27] Sueyoshi, T., Yuan, Y., Li, A., Wang, D., 2017. Methodological Comparison among Radial, Non-radial and Intermediate Approaches for DEA Environmental Assessment. Energy Economics. 67, 439-453. （SSCI，影响因子：3.910）
[28] Zhang, Z., Zhang, A., Wang, D., Li, A., Song, H., 2017. How to improve the performance of carbon tax in China? Journal of Cleaner Production. 142, 2060-2072. (SCI，影响因子：5.651, corresponding author)
[29] Yao, X., Zhou, H., Zhang, A., Li, A., 2015. Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis. Energy Policy. 84, 142-154. （SSCI&SCI，影响因子：3.045, corresponding author）
[30] Li, A., Zhang, Z., Zhang, A., 2015. Why are there large differences in performances when the same carbon emission reductions are achieved in different countries? Journal of Cleaner Production. 103, 309-318. (SCI，影响因子：4.959)
[31] Li, A., Du, N., Wei, Q., 2014. The cross-country implications of alternative climate policies. Energy Policy. 72, 155-163. （SSCI&SCI，影响因子：2.575）
[32] Sun, C., Ouyang, X., Cai, H., Luo, Z., Li, A., 2014. Household pathway selection of energy consumption during urbanization process in China. Energy Conversion and Management. 84, 295-304. (SCI，影响因子：6.377，corresponding author)
[33] Li, A., Zhang, A., Cai, H., Li, X., Peng, S., 2013. How large are the impacts of carbon-motivated border tax adjustments on China and how to mitigate them? Energy Policy. 63, 927-934. （SSCI&SCI，影响因子：2.696）
[34] Li, A., Lin, B., 2013. Comparing climate policies to reduce carbon emissions in China. Energy Policy. 60, 667-674. （SSCI&SCI，影响因子：2.696）
[35] Li, A., Zhang, A., 2012. Will carbon motivated border tax adjustments function as a threat? Energy Policy. 47, 81-90. （SSCI&SCI，影响因子：2.743）
[36] Lin, B., Li, A., 2012. Impacts of removing fossil fuel subsidies on China: How large and how to mitigate? Energy. 44, 741-749. （SCI，影响因子：3.651）
[37] Lin, B., Li, A., 2011. Impacts of carbon motivated border tax adjustments on competitiveness across regions in China. Energy. 36, 5111-5118. （SCI，影响因子：3.487）
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（人口、资源与环境经济学）。
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。
n 联系方式：liaijun@sdu.edu.cn