●个人简介
高达，男，1993年11月出生，中共党员，湖北武汉人，华中科技大学数量经济学博士，现为武汉工程大学法商学院校聘副教授，第五层次优秀人才，英国伯明翰大学访问学者，入选2024年度Elsevier&斯坦福大学能源与经济领域全球前2%顶尖科学家。主持及参与多项国家社科基金项目、国家自然科学基金面上项目、教育部人文社会科学研究规划基金项目等；目前在SSCI/SCI/CSSCI等来源期刊发表论文40余篇，欢迎对金融科技、公司金融、企业绿色可持续发展等主题有兴趣的老师和同学交流合作。
●教育背景
2018年09月-2022年06月 华中科技大学 数量经济学 博士
2017年09月-2018年06月 华中科技大学 数量经济学 硕士
2013年09月-2017年06月 湖北工业大学 财务管理 本科
●研究方向
能源与环境经济学、绿色金融、科技金融、公司金融、机器学习、文本分析法
●代表性成果
(一) 主持或参与项目
主持项目
1. 教育部人文社科青年项目：“绿色”与“智造”融合下制造业新质生产力提升：效应评估与路径优化. 2024.09-2027.09
2. 教育部协同育人项目：塑造数字经济时代的教育先锋：高校教师的数字能力与教学培训，2024.07-2025.07
3. 湖北省教育厅：数智赋能驱动湖北省企业高质量绿色转型机理和优化策略研究.2023.12-2025.12
4. 校科研项目：绿色金融对企业绿色创新绩效的影响研究，2022.11-2026.11
参与项目
5. 国家自然科学基金面上项目：压缩资产收益因子模型及其在中国资本市场的应用”。2021.09-2023.12
6. 国家自然科学基金青年项目：非平稳影响（因素）与单位根变量协整模型的理论与应用，20119.08 -2021.12
7. 华中科技大学自主创新研究基金：中国城市房地产价格的时空扩散研究， 2012.12-2012.12
(二) 论文
[1] Gao, D., Tan, L., & Chen, Y. (2025). Unlocking Carbon Reduction Potential of Digital Trade: Evidence from China’s Comprehensive Cross-border E-Commerce Pilot Zones. SAGE Open, 15(1), 21582440251319966. (SSCI JCR: Q1)
[2] Yin, L., Tan, L., Wu, J., & Gao, D*. (2025). From Risk to Sustainable Opportunity: Does Climate Risk Perception Lead Firm ESG Performance?. Journal of International Financial Management & Accounting. (SSCI JCR: Q1)
[3] Gao D, Tan, L, Duan K. Forging a path to sustainability: The impact of Fintech on corporate ESG performance, European Journal of Finance, 2024. (SSCI JCR: Q1, ABS 3 ESI 1% 高被引)
[4] Gao D, Li G, Yu J. Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities[J]. Energy, 2022: 123395. (SCI/SSCI JCR: Q1, ESI 1% 高被引)
[5] Gao D, Zhou X, Wan J. Unlocking sustainability potential: The impact of green finance reform on corporate ESG performance[J]. Corporate Social Responsibility and Environmental Management, 2024. (SSCI JCR: Q1, ESI 1% 高被引)
[6] Gao D, Li Y, Li G. Boosting the green total factor energy efficiency in urban China:Does low-carbon city policy matter? Environmental Science and Pollution Research, 2022 (SCI JCR: Q1, ESI 1% 高被引)
[7] Gao D, Li, Y . & Tan, L . (2023) .Can environmental regulation break the political resource curse: evidence from heavily polluting private listed companies in China. Journal of Environmental Planning and Management,(SSCI JCR Q1 ESI 1%高被引) .
[8] Gao D, Zhou X, Mo X, et al. Unlocking sustainable growth: exploring the catalytic role of green finance in firms’ green total factor productivity[J]. Environmental Science and Pollution Research, 2024, 31(10): 14762-14774.(SCI JCR: Q1 ESI 1% 高被引)
[9] Gao, D., Feng, H., & Cao, Y. (2024). The spatial spillover effect of innovative city policy on carbon efficiency: Evidence from China. The Singapore Economic Review, 1-23. ( SSCI JCR Q2 ESI 1% 高被引)
[10] Gao D, Yan Z, Zhou X, et al. Smarter and Prosperous: Digital Transformation and Enterprise Performance[J] .Systems, 2023, 11(7).(SSCI JCR Q1 ESI 1% 高被引)
[11] Gao D, Zhou X, Yan Z, et al. The Impact of the Resource-Exhausted City Program on Manufacturing Enterprises’ Performance: A Policy Measures Perspective[J]. Systems, 2023, 11(8): 415. (SSCI JCR Q1 ESI 1% 高被引)
[12] Yang Q, Gao D, Song D, et al. Environmental regulation, pollution reduction and green innovation: The case of the Chinese Water Ecological Civilization City Pilot policy[J]. Economic Systems, 2021, 45(4): 100911. (SSCI JCR: Q1,ESI 1% 高被引)
[13] Ge Li, Gao D*, Yi Li. Impacts of Market-based Environmental Regulation on Green Total Factor Energy Efficiency in China[J] China & World Economy.2023 . (SSCI JCR: Q1,ESI 1% 高被引)
[14] Ge Li, Gao D*, Xiao Xia Shi. How does information and communication technology affect carbon efficiency? Evidence at China's city-level [J]. Energy & Environment, 2023. (SSCI JCR: Q2 ESI 1% 高被引)
[15] Gao D, Cao Y, Liu C. The Low-Carbon Policy and Urban Green Total Factor Energy Efficiency: Evidence from a Spatial Difference-in-Difference Method[J]International Journal of Environmental Research and Public Health, 2023, 20(4):3498. (SSCI JCR Q1)
[16] Gao D, Wang G. Does the opening of high-speed rails improve urban carbon efficiency? Evidence from a spatial difference-in-difference method[J]. Environmental Science and Pollution Research, 2023, 30(45).(SCI JCR: Q1)
[17] Gao D, Li Y, Yang Q. Can pollution charges reform promote industrial SO2 emissions reduction?—Evidence from 189 China’s cities[J]. Energy & Environment, 2021, 32(1): 96- 112. (SSCI JCR: Q2)
[18] Gao D, Tan L, Mo X, et al. Blue Sky Defense for Carbon Emission Trading Policies: A Perspective on the Spatial Spillover Effects of Total Factor Carbon Efficiency[J]. Systems, 2023, 11(8): 382. (SSCI JCR: Q1)
[19] Gao D, Li G, Li Y. Government cooperation, market integration, and energy efficiency in urban agglomerations—based on the quasi-natural experiment of the Yangtze River Delta Urban Economic Coordination Committee[J]. Energy & Environment, 2021 (SSCI JCR: Q2)
[20] Gao D, Li G, Li Y. Does FDI improve green total factor energy efficiency under heterogeneous environmental regulation? Evidence from China[J].Environmental Science and Pollution Research, 2021: 1- 14. (SCI JCR: Q1)
[21] Gao D, Mo X, Duan K, Li Y.Can green credit policy promote firms ’ green innovation ? Evidence from China [J]. Sustainability, 2022. (SSCI JCR: Q2)
[22] Gao D, Mo X, Xiong R, et al. Tax Policy and Total Factor Carbon Emission Efficiency :Evidence from China’s VAT Reform[J]. International Journal of Environmental Research and Public Health, 2022, 19(15): 9257. (SSCI JCR: Q1)
[23] Gao, D., Zhou, X., & Liu, X. The Bright Side of Uncertainty: The Impact of Climate Policy Uncertainty on Urban Green Total Factor Energy Efficiency. Energies, 2024, 17(12), 2899. (SCI JCR: Q3)
[24] Ruochan Xiong, Gao D*. Exploring the Impact of Heterogeneous Environmental Regulations on Green Innovation Efficiency: Evidence from China’s Yangtze River Economic Belt.2023.Systems (SSCI JCR: Q1)
[25] Li G, Gao D*, Li Y. Dynamic environmental regulation threshold effect of technical progress on green total factor energy efficiency: evidence from China[J]. Environmental Science and Pollution Research, 2021, 29(6). (SCI/SSCI JCR: Q1)
[26] Shulin Shen, Le Xia, Yulin Shuai, Gao D*.Measuring News Sentiment using Big Data for Chinese Stock Markets, Pacific-Basin Finance Journal, 2022. (SSCI JCR: Q2)
[27] Yang Liu, Gao D*.The bright side of the digital economy: Evidence from improving green total factor energy efficiency in China.Energies,2022. (SCI JCR: Q3)
[28] Wang S, Feng H, Gao D. Testing for short explosive bubbles: A case of Brent oil futures price[J]. Finance Research Letters, 2023, 52: 103497. (SSCI JCR: Q1)
[29] Feng H, Gao D, Duan K, et al. Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework[J]. International Review of Financial Analysis, 2023: 102756. (SSCI JCR: Q1)
[30] Liu, L., Lv, Y., Gao, D*., & Mo, X. (2024). Carbon neutrality endeavors: the impact of carbon emission trading policies on total factor carbon emission efficiency. Environmental Science and Pollution Research, 31(9), 13535-13548. (SCI JCR: Q1)
[31] Zhang, Q., Tan, L., & Gao, D*. (2024). Leading Sustainability: The Impact of Executives’ Environmental Background on the Enterprise’s ESG Performance. Sustainability, 16(16), 6952. (SSCI JCR: Q2)
[32] Fang, C., Yuan, Y., Chen, J., Gao, D*., & Peng, J. (2024). Examination of Green Productivity in China’s Mining Industry: An In-Depth Exploration of the Role and Impact of Digital Economy. Sustainability, 16(1), 463. (SSCI JCR: Q2)
[33] 李依,高达*,卫平.中央环保督察能否诱发企业绿色创新?[J].科学学研究,2021,39(08):1504-1516.DOI:10.16192/j.cnki.1003-2053.20210202.004.（CSSCI）
[34] 高达,李格.政府合作与城市群能源效率——基于长三角城市经济协调会的准自然实验[J].软科学,2022,36(02):78-85.DOI:10.13956/j.ss.1001-8409.2022.02.12.（CSSCI）
[35] 李格,高达*.技术创新、环境规制与城市绿色全要素能源效率——基于动态面板门槛模型的实证分析[J].城市问题,2021,(05):94-103.DOI:10.13239/j.bjsshkxy.cswt.210510. （CSSCI）
[36] 李格,高达*,吕世公.区域一体化与城市群绿色发展——基于长三角扩容的准自然实验[J].经济经纬,2022,39(04):22-31. （CSSCI）
[37] 张建华,郑冯忆,高达.中国劳动力转移对全要素生产率增长的影响[J].中国人口科学,2020,(06):29-40+126-127. （CSSCI）
[38] 孙焱林,李格,高达.“一带一路”倡议能否改善劳动力错配?——来自中国地级市的经验证据[J].人口与经济,2022,(02):124-139. （CSSCI）
