个人简介
任晓航,男,2020年11月入职中南大学商学院特聘副教授,博士毕业于英国南安普顿大学统计研究所,并获得教育部2020年度“国家优自奖”,主要从事气候金融、绿色金融、能源金融、能源经济、公司金融、金融计量、时空模型等方面的研究,在《Journal of the American Statistical Association》(统计学顶级期刊)、《Energy Economics》、《International Review of Financial Analysis》、《Technological Forecasting and Social Change》、《Journal of Commodity Markets》、《Journal of Environmental Management》、《Applied Economics》、《Applied Energy》、《Research in International Business and Finance》、《International Review of Economics Finance》、《Finance Research Letters》、《Resources Policy》、《Emerging Markets Finance and Trade》、《Renewable & Sustainable Energy Review》、《Sustainable Development》、《Science of The Total Environment》、《Energy》、《Resources, Conservation and Recycling》、《系统工程理论与实践》、《中国管理科学》等国内外主流期刊上发表SSCI、SCI、CSSCI检索论文70余篇,其中ESI热点文章2篇,高被引论文11篇,担任全英全欧中国经济学会(CEA UK/Europe)应用计量经济学工作组主任、亚洲开发银行研究所咨询专家,Frontiers in Energy Research(SCI)副主编,Petroleum Science(SCI中科院一区)青年编委,Heliyon (Cell子刊, SCI)和Humanities & Social Sciences Communications(Nature子刊, SCI)编委,Entropy、Frontiers in Environmental Science等SCI/SSCI期刊的客座编辑,作为主要成员参与了包括欧盟玛丽居里项目、国家自然科学基金重点项目、国家社科基金重大项目等多项课题的研究工作。指导本科学生在ABS3、ABS2和SCI上发表多篇论文、获得全国大学生能源经济学术创意大赛全国一等奖、国家级立项、校优秀本科毕业论文和国家奖学金等。
研究领域
绿色金融、气候金融、能源金融、能源经济、公司金融、金融计量、金融科技、时空模型
近期论文
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On Semiparametrically Dynamic Functional-coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity. Journal of the American Statistical Association, 2023, accepted. (统计学“四大天王”顶级期刊)
Political Connections and Corporate Carbon Emissions: New Evidence from Chinese industrial firms, Technological Forecasting & Social Change, 2023, Accepted. (ABS三星,JCR1区,SSCI检索)
Time-varying impact of information and communication technology on carbon emissions, Energy Economics, 2023, 118, 106492. (ABS三星,JCR1区,SSCI检索)
How does digital finance affect industrial structure upgrading? Evidence from Chinese prefecture-level cities. Journal of Environmental Management, 2023, 330, 117125. (ABS三星,JCR1区,SCI检索)
Evolution of the information transmission between Chinese and international oil markets: A quantile-based framework. Journal of Commodity Market, 2023. (ABS三星,SSCI检索)
Economic Policy Uncertainty and Dynamic Correlations in Energy Markets: Assessment and Solutions, Energy Economics, 2023, 117C, 106475. (ABS三星,JCR1区,SSCI检索)
Global oil price uncertainty and excessive corporate debt in China, Energy Economics, 2022, 115, 106378. (ABS三星,JCR1区,SSCI检索)
Climate policy uncertainty and firm-level total factor productivity: Evidence from China. Energy Economics, 2022, 113, 106209. (ABS三星,JCR1区,SSCI检索)
Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond. International Review of Financial Analysis, 2022, 83, 102306. (ABS三星,JCR1区,SSCI检索)
The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method. Technological Forecasting and Social Change, 179, 121611. (ABS三星,JCR1区,SSCI检索,ESI 前0.1%,热点文章)
Gold or Bitcoin, which is the safe haven during the COVID-19 pandemic? International Review of Financial Analysis, 2022, 81, 102121. (ABS三星,JCR1区,SSCI检索)
Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach. Energy Economics, 2022, 109, 105966. (ABS三星,JCR1区,SSCI检索,高被引ESI 前1%)
Carbon Prices Forecasting in Quantiles. Energy Economics, 2022, 108, 105862. (ABS三星,JCR1区,SSCI检索,高被引ESI 前1%)
Dynamic impacts of energy consumption on economic growth in China: Evidence from a non-parametric panel data model. Energy Economics, 2022, 107, 105855. (ABS三星,JCR1区,SSCI检索,高被引ESI 前1%)
Climate Risk and Corporate Environmental Performance: Empirical Evidence from China. Sustainable Production and Consumption, 2022, 30: 467-477. (JCR1区,SSCI检索,高被引ESI 前1%)
How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis. Energy Economics, 2021, 103, 105620. (ABS三星,JCR1区,SSCI检索,高被引ESI 前1%)
The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach. Energy Economics, 2021, 95, 105131. (ABS三星,JCR1区,SSCI检索,高被引ESI 前1%)
How does technological innovation mitigate CO2 emissions in OECD countries? Heterogeneous analysis using panel quantile regression, Journal of Environmental Management, 2021, 280, 11818. (ABS三星,JCR1区,SSCI检索,ESI 前0.1%,热点文章)
Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model. Sustainable Development, 2021, 29(1): 228-242. (JCR1区,SSCI检索,高被引ESI 前1%)