Milin Lu
Milin Lu was born in October 1983 in Gao'an, Jiangxi Province. He earned his Doctor‘s degree in Management from the School of Management and Economics, Beijing Institute of Technology, and currently holds the positions of Associate Professor and Master's Supervisor. Since September 2015, he has been a faculty member at the School of Economics and Management, Beijing Institute of Petrochemical Technology (BIPT).
His research focuses on energy efficiency management evaluation and innovation, economic impacts of climate change, environmental policies and ecological management, low-carbon development, and energy finance. In recent years, he has participated in more than 10 scientific research projects at the national and provincial levels. Notably, he independently led 1 Youth Fund Project of the National Natural Science Foundation of China, 1 Youth Fund Project of the Beijing Social Science Foundation, 1 Beijing Young Top Talent Project, and 1 Individual Project for Young Backbone Talents of Beijing. He has published over 10 academic papers, including 12 in key domestic and international journals indexed by SCI (SSCI) and CSSCI, with a total of more than 200 citations.
I. Main Research Areas
(1) Energy Efficiency Management Evaluation and Innovation;
(2) Economic Impacts of Climate Change;
(3) Energy, Environment and Low-Carbon Development.
II. Main Research Projects
1. Youth Fund Project of the National Natural Science Foundation of China: Measurement of Residential Electricity Rebound Effect and Research on Electricity-Saving Policy Mechanisms in Chinese Cities under the Background of Tiered Electricity Price Reform (Project Approval No.: 71703009), Principal Investigator, Jan. 2018- Dec. 2020.
2. Young Top Talent Cultivation Program of the High-Level Faculty Construction Support Plan for Beijing Municipal Universities: Research on Residential Electricity-Saving Mechanisms in Chinese Cities Based on Tiered Electricity Price Reform (Project No.: CIT&TCD201804032), Principal Investigator, Jan. 2018 - Dec. 2020.
3. Youth Fund Project of the Beijing Social Science Foundation: Research on the Guidance and Control Mechanism for Low-Carbon Travel of Urban Residents in Beijing (Project No.: 16GLC063), Principal Investigator, Jan. 2017 - Dec. 2019.
4. Individual Project for Young Backbone Talents under the Beijing Outstanding Talent Training and Funding Program (Project Approval No.: 2016000020124G061), Principal Investigator, Jan. 2017 - Dec. 2018.
III. Representative Academic Papers
1. Zhong, C. W., Zhang, H., Zhang, Z. W., Wu, Z. Q., & Lu, M. L. (2024). The investigation of production variance in a module-based assembly system: A Markovian Arrival Process approach. Queueing Systems: Theory and Applications, 19(1), 65–77.
2. Zhong, C. W., Yu, M. J., Zhang, Z. W., & Lu, M. L. (2024). Green innovation efficiency measurement of manufacturing industry in the Beijing-Tianjin-Hebei region of China based on Super-EBM model and Malmquist-Luenberger index. Frontiers in Energy Research, 12, 1337188.
3. Wang, F. Y., Ma, J. J., Lu, M. L., & Sun, Y. Q. (2023). Unleashing the wind: The role of carbon reduction revenue in Shanghai's distributed wind power investments. Heliyon, 9, e21490.
4. Zhao, X. N., Qiu, Y., Lu, M. L., & Zhang, X. H. (2020). Performance analysis with carbon footprints in China: Considering the industry heterogeneity. Environmental Engineering and Management Journal, 19(9), 1555–1563.
5. Zhao, X. N., Tang, Y. H., Lu, M. L., & Zhang, X. H. (2019). Foreign direct investment dynamic performance with low-carbon influence: A provincial comparative application in China. International Journal of Financial Studies, 7(3), 46.
6. Wang, Z. H., Lu, M. L., & Wang, J. C. (2014). Direct rebound effect on urban residential electricity use: An empirical study in China. Renewable and Sustainable Energy Reviews, 30, 124–132.
7. Wang, Z. H., & Lu, M. L. (2014). An empirical study of direct rebound effect for road freight transport in China. Applied Energy, 133, 274–281.
8. Wang, Z. H., Han, B., & Lu, M. L. (2016). Measurement for energy rebound effect in household: Based on study of residential electricity consumption in Beijing. Renewable and Sustainable Energy Reviews, 58, 852–861.
9. Lu, M. L., & Wang, Z. H. (2017). Rebound effects for residential electricity use in urban China: An aggregation analysis based E-I-O and scenario simulation. Annals of Operations Research, 255, 525–546.
10. Wang, F. Y., Quan, C. L., Cong, L. Y., & Lu, M. L. (2024). A study on the economic benefits of different operation modes of distributed photovoltaic power generation under subsidy reduction: A case study of the Beijing-Tianjin-Hebei region. Journal of Arid Land Resources and Environment, 38(4), 87–94.
11. Wang, Z. H., & Lu, M. L. (2014). Study on the direct rebound effect of urban residential electricity consumption in China based on inter-provincial panel data. Systems Engineering - Theory & Practice, 34(7), 1678–1686.
12. Wang, C., Wang, Z. H., & Lu, M. L. (2013). Economic analysis of direct energy rebound effect: A micro perspective. Journal of Beijing Institute of Technology (Social Sciences Edition), 15(2), 28–33.
IV. Published Works
Lu, M. L. (2020). Study on the measurement methods and applications of energy rebound effect. Beijing, China: Beijing University of Technology Press.
V. Recruitment Information
I mainly admit postgraduate students specializing in Business Administration (1202, academic degree) and Auditing (0257, professional degree). I sincerely welcome students with backgrounds in Mathematics, Computer Science, Economics, and Business Management to join my team. Ideal candidates should have the courage to innovate, and possess strong computer application skills as well as a high level of English proficiency.