一、个人简介

从事节能减排、能源价格扭曲、碳交易、能源安全等领域的学习与工作，具有扎实的研究基础。目前已在中国软科学、中国人口·资源与环境、运筹与管理、经济体制改革、 Renewable and Sustainable Energy Reviews、Applied energy、Transportaion research part A、Energy、Economic policy and analysis、The Singapore Economic Review、Journal of Cleaner Production等期刊发表论文二十余篇。目前担任Journal of Environmental Management、Energy、Journal of Cleaner Production、Carbon Neutrality、中国环境管理等期刊匿名审稿人。

二、承担项目

1. 回弹效应抑制视角下能源价格扭曲纠偏促进二氧化碳减排的机制、效果与路径研究（2021SJA0186），江苏高校哲学社会科学研究一般项目，主持，在研。

2. 双碳目标下江苏能源安全多层次效应量化与政策选择研究（22GLC008），江苏省社科基金青年项目。

3. 运动式减碳背景下碳价扭曲的波动机制与纠偏策略研究（22YJCZH192），教育部人文社科青年项目。

4. 能源安全导向下我国碳价扭曲的纠偏机制与对策研究(23CJY029)，国家社科基金青年项目。

5. 面向云数据中心的网络安全态势感知与风险控制策略研究，横向项目。

6. 区域电力互济下的多主体动力机制与实现路径研究，横向项目。

三、发表论文

       朱庆缘，孟波，武良鹏，潘应浩，吴杰.权变框架下我国能源安全与粮食安全：一个实时测度模型[J].中国软科学，2024.

       吴晟,武良鹏*,赵湘莲.绿色信贷政策对制造业外部融资、经济增长和能源消费的影响[J].中国人口·资源与环境,2021,31(03):96-107.

       吴晟,赵湘莲,武良鹏*.绿色信贷制度创新研究——以推动企业生态创新为视角[J].经济体制改革,2020(01):36-42.

       吴晟,武良鹏*,吕辉.绿色信贷对企业生态创新的影响机理研究[J].软科学,2019,33(04):53-56.

       武良鹏,陈晔,徐海燕.效果—成本视角下中国各省份碳排放减排路径对比研究[J].软科学,2018,32(12):1-6.

       邹树梁,武良鹏*.混合多属性决策问题中的权重研究[J].运筹与管理,2017,26(01):76-81.

       邹树梁,武良鹏*.基于区间Vague集的人-岗动态匹配模型[J].统计与决策,2016(19):37-41.

       邹树梁,武良鹏*.基于心理阈值与心理期望的多属性决策方法研究[J].模糊系统与数学,2016,30(03):97-104.

         Qingyuan Zhu, Chengzhen Xu, Liangpeng Wu*, Yinghao Pan, Dequn Zhou. Enhancing Sustainability: Assessing the Low-Carbon Impact of China's Digital Economy on Residential Carbon Emissions. Environmental Development. 2025.

          Wu, Liangpeng, Yujing Tang, and Qingyuan Zhu. "Selection preference and effectiveness quantification of provincial energy security policies in China." Expert Systems: e13711，2024.

        Shuli Yan, Jinyuan Wang,  Liangpeng Wu∗. Dynamics of green transition based on stock-flow consistent model considering compound risks, Economic Analysis and Policy,2024.

        Liangpeng Wu, Chengzhen Xu, Qingyuan Zhu, Dequn Zhou. Multiple energy price distortions and improvement of potential energy consumption structure in the energy transition, Applied Energy, 2024.

        Pingping Xiong, Xiaosu Zeng, Liangpeng Wu∗, Hui Shu. A fluctuation data grey model and its prediction of rainstorm days, Applied Mathematical Modelling, 2024(127) : 767–783.

       Qiao Peng, Yassine Bakkar , Liangpeng Wu*, Weilong Liu , Ruibing Kou, Kailong Liu.Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis,  Transportation Research Part A:Policy and Practice,2024.

Qingyuan Zhu, Chengzhen Xu, Qingjuan Chen, Liangpeng Wu*, Oil price distortion and its impact on green economic efficiency in China’s transportation: A spatial effect perspective. Renewable and Sustainable Energy Reviews,2024,191:114148.

Liangpeng Wu,Qingyuan Zhu.Has the Emissions Trading Scheme (ETS) promoted the end-of-pipe emissions reduction? Evidence from China’s residents. Energy,2023.

Liangpeng Wu, Yirong Sun, Cai Suo, Xingchen Li. Natural capital investment strategies and economic growth: An extended economic growth analysis model. The Singapore Economic Review, 2023

Donglong Wu, Dequn Zhou, Qingyuan Zhu*, Liangpeng Wu*. Industrial structure optimization under the rigid constraint of carbon peak in 2030: A perspective from industrial sectors .  Environmental Impact Assessment Review, 2023

Wu L, Zhu Q. Whether China’s carbon emission trading scheme has triggered technical change in emission reduction? An integrated approach Environment, Development and Sustainability, 2023 

Wu S, Wu L*, Zhao X. Impact of the green credit policy on external financing, economic growth and energy consumption of the manufacturing industry. Chinese Journal of Population Resources and Environment, 2022, 20(1): 59–68.

Jiang M, Suo C, Wu L, Berrill P. Consumption structure optimization for reducing energy footprint. Economic Systems Research, 2022

Wu, L., 2021. How can carbon trading price distortion be corrected? An empirical study from China’s carbon trading pilot markets. Environ. Sci. Pollut. Res. 

Wu, L., Chen, Y., Feylizadeh, M.R., 2019. Study on the estimation, decomposition and application of China’s provincial carbon marginal abatement costs. J. Clean. Prod. 207, 1007–1022. 

Wu, L., Chen, Y., Feylizadeh, M.R., Liu, W., 2018. Estimation of China’s macro-carbon rebound effect: Method of integrating Data Envelopment Analysis production model and sequential Malmquist-Luenberger index. J. Clean. Prod. 198, 1431–1442. 

Wu, L., Zhu, Q., 2021. Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach. Nat. Hazards. 

Ye, C., Liangpeng, W.U*., Bo, L.U., 2018. Data envelopment analysis procedure with two non-homogeneous DMU groups. Journal of Systems Engineering and Electronics, 29, 780–788.

Wu S, Wu L*, Zhao X. Can the reform of green credit policy promote enterprise eco-innovation? A theoretical analysis. Journal of Industrial and Management Optimization, 2022, 18(2): 1453–1485

Wu, L., Gong, Z., 2021. Can national carbon emission trading policy effectively recover GDP losses? A new linear programming-based three-step estimation approach. J. Clean. Prod. 287, 125052.