南京航空航天大学经济与管理学院讲师，主要研究方向为能源环境经济与管理、能源系统综合评估、复杂用能行为建模。以第一/通讯作者在Nature Energy (Nature子刊)、One Earth (Cell子刊)、Energy Economics、系统工程理论与实践等国内外知名学术期刊上发表论文十余篇。

代表性学术成果：

●Zhaohua Wang, Hao Li*, et al. (2023). Unequal residential heating burden caused by combined heat and power phase-out under climate goals. Nature Energy, 8:881-890. (IF:56.7)

●Hao Li, Zhaohua Wang, & Bin Zhang (2023). How social interaction induce energy-saving behaviors in buildings: Interpersonal & passive interactions v.s. public & active interactions. Energy Economics, 118: 106515. (IF:12.8)

●Gesche M, Sylvain C,..., Zhaohua Wang, Hao Li, et al. (2023). Effectively and equitably steering pro-environmental behavior. One Earth, 6(4): 329-332. (IF:16.2)

●Hao Li, Zhaohua Wang, & Bin Zhang (2022). Defects of the financial incentive policy for global zero carbon buildings: A game analysis of policy insights. Energy & Buildings, 268: 112167. (IF:6.7)

●王兆华,李昊,张斌 (2022). 消费者有限理性差异对供应商最优产品定价的影响: 一个双层群体博弈模型.系统工程理论与实践, 42(1):144-154.

●Zhaohua Wang, Hao Li, et al. (2021). The greater the investment, the greater the loss? – Resource traps in Building energy efficiency retrofit (BEER) market. Resources Conservation & Recycling, 168(2):105459. (IF:13.2)

●Zhaohua Wang, Hao Li, et al. (2020). How to effectively implement an incentive-based residential electricity demand response policy? Experience from large-scale trials and matching questionnaires. Energy Policy, 141:111450. (IF:9.0)

●Hao Li, Ming Zhang, et al. (2019). Using a new two-dimensional decoupling model to evaluate the decoupling state of global energy footprint. Sustainable Cities & Society, 63: 102461. (IF:11.7)

●Ming Zhang*, Hao Li*, et al. (2019). Using three-sided dynamic game model to study regional cooperative governance of haze pollution in China from a government heterogeneity perspective. Science of The Total Environment, 694: 133559. (IF:9.8)

●Ming Zhang*, Hao Li*, et al. (2019). Study on the heterogeneous government synergistic governance game of haze in China. Journal of Environmental Management, 248:109318. (IF:8.7) 

■  中国技术经济学会优秀博士学位论文（2023，全国每年5名）

■  江苏省优秀学术学位硕士学位论文（2020，全省每年150名）