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廖高可
作者:   时间:2023-09-12   点击数:
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研究领域



廖高可  副教授

Email: liaogaoke@gzhu.edu.cn

研究领域:金融统计与风险管理

通讯地址:广州市大学城外环西路203

 

个人简介

廖高可,771771威尼斯.cm大全教师,副教授。湖南大学金融学博士,英国朴茨茅斯大学(University of Portsmouth)访问学者,主要从事风险管理与金融统计的教学和科研工作,在 《经济学动态》、《中国软科学》、《Business Strategy and the Environment》、《International Journal of Finance & Economics》等 国内外期刊上发表论文20余篇。主持省部级以上科研项目3项,其中国家社科基金青年项目1项,博士后基金1项,广东省哲学社会科学学科共建项目1项。参与国家社科基金项目,国家自科基金等多项课题。担任 Technological Forecasting and Social ChangeInternational Journal of Finance & Economics等多个期刊的匿名审稿人。

 

教育背景

2010.092014.06湖南科技大学管理学硕士                                                                      

2014.092017.06湖南大学应用经济学硕士

2017.092020.07湖南大学应用经济学博士

2018.082019.08University of Portsmouth,访学学者

 

职业经历

2021.032023.06 ,771771威尼斯.cm大全,统计学博士后

2023.07至今,771771威尼斯.cm大全,副教授

 

科研服务

1】国家社科基金青年项目,主持,数字化转型赋能制造业高质量发展的统计测度研究,立项时间:2023年,在研。

2】中国博士后科学基金,主持,数字金融特征对系统性风险的影响研究,立项时间:2022年,已结项

3广东省哲学社会科学规划 2023 年度学科共建项目主持,数字金融引致系统性风险的机制研究立项时间:2023年,在研。

4国家社科基金重项目主要参与人,数据价值链效能识别与统计测度研究

 

出版专著

李正辉,廖高可,2018年,金融资源配置能力的统计测度中国统计出版社

 

发表论文                                                                          

[1] Li, T., Li, X., & Liao, G*. (2022). Business cycles and energy intensity. Evidence from emerging economies. Borsa Istanbul Review, 22(3), 560-570. 

[2] 廖高可,李庭辉.人工智能在金融领域中的应用研究进展[J].经济学动态,2023,(03),141-158.

[3] Huang, X., & Liao, G*. (2022). Identifying driving factors of urban digital financial network—based on machine learning methods. Electronic Research Archive, 30(12), 4716-4739.

[4] Liao, G., Li, Z., Wang, M*., & Albitar, K. (2022). Measuring China's urban digital finance. Quantitative Finance and Economics, 6, 385-404. 

[5] Wang, M., Li, Y*., & Liao, G. (2022). Spatial Spillover and Interaction Between High-Tech Industrial Agglomeration and Urban Ecological Efficiency. Frontiers in Environmental Science, 94. 

[6] Li, Y., Wang, M*., Liao, G., & Wang, J. (2022). Spatial Spillover Effect and Threshold Effect of Digital Financial Inclusion on Farmers’ Income Growth—Based on Provincial Data of China. Sustainability, 14(3), 1838. 

[7] Wang, M., Li, Y*., & Liao, G. (2021). Research on the impact of green technology innovation on energy total factor productivity, based on provincial data of China. Frontiers in Environmental Science, 9, 710931. 

[8] Wang, M., Liao, G., & Li, Y*. (2021). The relationship between environmental regulation, pollution and corporate environmental responsibility. International Journal of Environmental Research and Public Health, 18(15), 8018. 

[9] Liao, G., Hou, P*., Shen, X., & Albitar, K. (2021). The impact of economic policy uncertainty on stock returns: The role of corporate environmental responsibility engagement. International Journal of Finance & Economics, 26(3), 4386-4392. 

[10] Li, Z., Liao, G*., & Albitar, K. (2020). Does corporate environmental responsibility engagement affect firm value? The mediating role of corporate innovation. Business Strategy and the Environment. 29(3), 1045-1055.

[11] Li, T., & Liao, G*. (2020). The Heterogeneous Impact of Financial Development on Green Total Factor Productivity. Frontiers in Energy Research, 8, 29. 

[12] Liao, G., Yao, D*., & Hu, Z. (2020). The Spatial Effect of the Efficiency of Regional Financial Resource Allocation from the Perspective of Internet Finance: Evidence from Chinese Provinces. Emerging Markets Finance and Trade, 56(6), 1211-1223. 

[13] Su, Y., & Liao, G*. (2019). The impact of macroeconomic news on stock returns of energy firms—evidence from China. Green Finance1(3), 297.

[14] Liao, G., Li, Z*., Du, Z., & Liu, Y. (2019). The Heterogeneous Interconnections between Supply or Demand Side and Oil Risks. Energies12(11), 2226. 

[15] Huang, Z., Liao, G., & Li, Z*. (2019). Loaning scale and government subsidy for promoting green innovation. Technological Forecasting and Social Change144, 148-156. 

[16] Chen, S., Liao, G*., Drakeford, B. M., & Failler, P. (2019). The non-linear effect of financial support on energy efficiency: evidence from China. Sustainability11(7), 1959. 

[17] Li, Z., Liao, G., Wang, Z., & Huang, Z*. (2018). Green loan and subsidy for promoting clean production innovation. Journal of Cleaner Production187, 421-431. 

[18] Liu, Y., & Liao, G*. (2017). The measurement and asymmetry tests of business cycle: Evidence from China. Quantitative Finance and Economics1(2), 205-18.

[19] 李正辉,粟亚亚,廖高可,刘果.媒体信息对金融资产价格波动的影响——以股票市场为例[J].财经理论与实践,2018,39(03):56-61. 

[20] 汤萱,廖高可*,谢梦园.实体经济脆弱性测度及其影响因素研究[J].中国软科学,2017(05):149-159. 

[21] 刘悦,廖高可,郑玉航.金融资源配置方式对经济增长影响的实证分析[J].统计与决策,2017(04):167-169. 

[22] 刘悦,郑玉航,廖高可*.金融资源配置方式对产业结构影响的实证研究[J].中国软科学,2016(08):149-158. 

[23] 陈黎明,廖高可,李正辉.上市中小商业银行竞争力评价及其影响因素研究[J].海南金融,2015(03):65-68+72.

[24] 李正辉, 廖高可. 金融资源配置能力的统计测度[M]. 北京:中国统计出版社, 2018.

 

  

 

 

 

 

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