学术发表
(一)英文期刊论文
[1] Huang X., Tang C., Liu Y., et al. Greening or greenwashing? Corporate green bonds and stock pricing efficiency in China [J]. Sustainability Accounting, Management and Policy Journal, 2025, 16(3): 874-913. (SSCI, JCR Q1, ABS Grade 2)
[2] Huang X., Wang X., Ge P. Selective industrial policy and innovation resource misallocation[J]. Economic Analysis and Policy, 2024, 82: 124-146. (SSCI, JCR Q1, ABS Grade 1)
[3] Huang X., Zhu R., Tang C. Decoding the systemic risk implications of corporate innovation: Evidence from a three-period game model and a panel data regression[J]. Managerial and Decision Economics, 2024, 45(3): 1618-1632. (SSCI, JCR Q2, ABS Grade 2)
[4] Huang X, Zhu R., Wu X., et al. Assessing the role and driving mechanisms of the green financial reform on urban energy consumption and pollution emissions: a policy evaluation from the generalized synthetic control method[J]. Environmental Science and Pollution Research, 2023, 30: 119095-119116. (SCI, JCR Q1)
[5] Xiulu Huang, Pengfei Ge, Bole Zhou. Selective industrial policy and capital misallocation: evidence from the ‘Revitalization Plan for Ten Industries’ in China[J]. Journal of the Asia Pacific Economy, 2024, 29(1): 206-236. (Early access on Nov. 2021) (SSCI, JCR Q3, ABS Grade 1)
[6] Bole Zhou, Xiulu Huang*, Xiaoxu Wu. Financial reform and innovation: Evidence from China’s Financial Reform Pilot Zones[J]. Asian Journal of Technology Innovation, 2023, 31(1): 137-155. (*Equal corresponding author) (Early access on Jan. 2022) (SSCI, JCR Q3, ABS Grade 1)
[7] Ge P., Liu T., Huang X. The effects and drivers of green financial reform in promoting environmentally-biased technological progress[J]. Journal of Environmental Management, 2023: 117915. (SCI, JCR Q1, ABS Grade 3)
[8] Ge P., Zhu R, Chen Y., Huang X. Selective industrial policy and overcapacity: Evidence from a quasi-natural experiment in China[J/OL]. Economic Systems, 2024: 101191. (SSCI, JCR Q2, ABS Grade 2)
[9] Ge P., Liu T., Wu X., Huang X. Heterogenous Urbanization and Agricultural Green Development Efficiency: Evidence from China[J]. Sustainability, 2023, 15(7): 5682. (SSCI/SCI, JCR Q1)
(二)CSSCI期刊论文
[1] 黄秀路, 葛鹏飞. 中国企业部门系统性风险评价与风险溢出网络特征分析[J]. 统计与决策, 2025, 41(2): 167-172.
[2] 葛鹏飞, 黄秀路. 数字化转型、创新知识与制造业企业融通创新[J]. 软科学, 2024, 38(9): 8-15.
[3] 黄秀路, 武宵旭, 袁圆等. 绿色金融改革的节能效应与机制[J]. 中国人口·资源与环境, 2023, 33(8): 27-36.
[4] 黄秀路, 杜盼盼. 银行业服务实体经济质效研究——基于流动性创造效率的视角[J]. 统计与决策, 2023, 39(7): 144-149.
[5] 黄秀路, 葛鹏飞. 货币政策冲击、银行系统性风险与债权激励机制[J]. 山西财经大学学报, 2019, 41(8): 44-56.
[6] 葛鹏飞, 黄秀路, 王泽润. 装备制造业的产能利用率:程度测算与差异分析[J]. 中国科技论坛, 2019(4): 78-83.
[7] 葛鹏飞, 黄秀路. 中国银行业系统性风险的演变:降价抛售传染视角[J]. 财贸经济, 2019, 40(2): 66-83.(人大复印资料全文转载)
[8] 黄秀路, 葛鹏飞, 武宵旭. 中国工业产能利用率的地区行业交叉特征与差异分解[J]. 数量经济技术经济研究, 2018, 35(9): 60-77.(人大复印资料全文转载)
[9] 葛鹏飞, 王颂吉, 黄秀路. 中国农业绿色全要素生产率测算[J]. 中国人口·资源与环境, 2018, 28(5): 66-74.
[10] 葛鹏飞, 黄秀路, 韩先锋. 创新驱动与“一带一路”绿色全要素生产率提升——基于新经济增长模型的异质性创新分析[J]. 经济科学, 2018(1): 37-51.
[11] 葛鹏飞, 黄秀路, 徐璋勇. 金融发展、创新异质性与绿色全要素生产率提升——来自“一带一路”的经验证据[J]. 财经科学, 2018(1): 1-14.
[12] 黄秀路, 葛鹏飞. 债权激励降低了银行系统性风险吗?[J]. 财经研究, 2018, 44(1): 47-60.(封面文章)
[13] 黄秀路, 韩先锋, 葛鹏飞. “一带一路”国家绿色全要素生产率的时空演变及影响机制[J].经济管理, 2017, 39(9): 6-19.(封面文章,首篇文章)
[14] 葛鹏飞, 徐璋勇, 黄秀路. 科研创新提高了“一带一路”沿线国家的绿色全要素生产率吗[J]. 国际贸易问题, 2017(9): 48-58.
[15] 黄秀路, 武宵旭, 葛鹏飞,等. 中国农业生产中的节水灌溉:区域差异与方式选择[J].中国科技论坛, 2016(8): 143-148.
[16] 葛鹏飞, 黄秀路. 装备制造业技术效率的空间效应[J]. 中国科技论坛, 2015(9): 44-48.
(三)专著
[1] 黄秀路著. 中国企业部门系统性风险的投资行为效应研究[M]. 中国金融出版社, 2024.