邵庆龙

学术背景

• 中山大学生态学院副教授、博士生导师（2025年至今）

• 德国“洪堡学者”，2023及2024年斯坦福全球前2%科学家

• 巴塞罗那自治大学、维也纳社会生态研究所和瑞典皇家工学院联合培养博士

• 从事生态/环境与经济的交叉研究，发表中英文论文50+篇，主持/参与科研项目10+项

研究方向

1）生态/能源/环境经济学

▶  能源转型、能源正义、能源贫困；

▶  绿色金融与可持续投资；

▶  气候变化与区域经济适应；

2）“甜甜圈”可持续发展评估模型

▶  行星边界与可持续性评估

▶  社会经济边界与生物物理边界的联系机制；

▶  基于区域异质性的时空维度分析；

3）人工智能与可持续发展的交叉研究

▶  AI优化资源分配与生态系统服务；

▶  AI 支持多维度的“甜甜圈”经济模型评估与政策模拟；

▶  AI推动绿色经济转型与“甜甜圈”经济模型的实践应用。

招聘需求

• 学科背景：具有生态/环境、经济、人工智能等相关学科背景

• 技术要求：熟练操作Python，R等软件；问卷设计与数据分析

课题组长期招聘科研助理、硕士生、博士生、博士后等人员。

学术兼职

四本国际一区期刊的编委，包括Environmental Science and Ecotechnology (SCI Q1, IF: 14.3), Environmental Technology & Innovation (SCI Q1, IF: 7.1), Sustainable Development (SSCI Q1, IF: 8.7)，以及《自然》家族期刊Humanities and Social Sciences Communications (SSCI Q1, IF: 3.7)；并在《自然》合作期刊npj Climate Action等期刊组织特刊。参与编撰《世界能源蓝皮书：世界能源发展报告（2024）》和SAGE Handbook of Modern China: Transformations and Transitions

主持项目

（1）德国洪堡基金项目（1194898 HFST-P），中国的数字化转型与可持续发展：基于行星边界视角，2022-2025, 70万；

（2）国家自然科学青年基金项目（71903131），空间计量与行星边界视角下粤港澳大湾区可持续发展评价研究, 2020- 2023, 19万；

（3）中国博士后科学基金项目（2019M653047），基于计量模型的全球物质消耗与经济衰退的实证研究，2019-2020, 5万；

（4）深圳市重大研究课题（深圳市政府发展研究中心），特大城市土地高质量利用研究，2019-2020, 35万。

论文专著

[1] Qinglong Shao*. Did the pandemic undermine climate concern in Europe? a re-assessment of the Finite Pool of Worry. Climate Policy. DOI: 10.1080/14693062.2025.2510500

[2] Qinglong Shao*. Sustainability evaluation of the Doughnut Economics: A bibliometric analysis. Earth's Future. DOI: 10.1029/2024EF004638

[3] Qinglong Shao*. Systematic Review of Doughnut Economics from 2012 to 2024. Sustainability Science. DOI: 10.1007/s11625-025-01640-8.

[4] Qinglong Shao*. Assessing the sustainability of socio-economic boundaries in China: A downscaled “safe and just space” framework. npj Climate Action. 2023, 2(28). DOI: 10.1038/s44168-023-00062-5. 

[5] Songran Li, Qinglong Shao*. How do financial development and environmental policy affect renewable energy innovation? The Porter Hypothesis and beyond. Journal of Innovation & Knowledge. 2023, 8(3). DOI: 10.1016/j.jik.2023.100369.

[6] Qinglong Shao*. Pathway through which COVID-19 exacerbates energy poverty and proposed relief measures. Energy for Sustainable Development. 2023 (74). DOI: 10.1016/j.esd.2023.03.008. 

[7] Songran Li, Qinglong Shao*. Greening the finance for climate mitigation: An ARDL–ECM approach. Renewable Energy. Volume 199, 2022, 1469-1481. DOI: 10.1016/j.renene.2022.09.071.

[8] Qinglong Shao, Zhekai Zhang*. Carbon mitigation effect of emissions trading policy in China considering the regional disparity. Energy and Climate Change. Volume 3, Dec. 2022, 100079. DOI: 10.1016/j.egycc.2022.100079. 

[9] Xiaoling Wang, Tianyue Zhang, Jatin Nathwani, Fangming Yang, Qinglong Shao*. Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry. Technological Forecasting and Social Change, Volume 176, March 2022, 121471. DOI: 10.1016/j.techfore.2022.121471. (Highly Cited + Hot Paper)

[10] Songran Li, Qinglong Shao*. Exploring the Determinants of Renewable Energy Innovation Considering the Institutional Factors: A Negative Binomial Analysis. Technology in Society, Volume 67, November 2021, 101680. DOI: 10.1016/j.techsoc.2021.101680. 

[11] Zhanglan Wu, Qinglong Shao*, Yantao Su, Dan Zhang. A socio-technical transition path for new energy vehicles in China: a multi-level perspective. Technological Forecasting and Social Change, Volume 172, November 2021, 121007. DOI: 10.1016/j.techfore.2021.121007. 

[12] Qinglong Shao, Junjie Guo*, Peng Kang. Environmental response to growth in the marine economy and urbanization: A heterogeneity analysis of 11 Chinese coastal regions using a panel vector autoregressive model. Marine Policy, Volume 124, 2021, 104350. DOI: 10.1016/j.marpol.2020.104350. 

[13] Renqu Tian†, Qinglong Shao†, Fenglan Wu*. Four-dimensional evaluation and forecasting of marine carrying capacity in China: empirical analysis based on the entropy method and grey Verhulst model. Marine Pollution Bulletin, Volume 160, 2020, 111675. DOI: 10.1016/j.marpolbul.2020.111675. 

[14] Qinglong Shao*. Nonlinear effects of marine economic growth and technological innovation on marine pollution: Panel threshold analysis for China’s 11 coastal regions. Marine Policy, 15 August 2020, 104110. DOI: 10.1016/j.marpol.2020.104110. 

[15] Qinglong Shao, Xuechen Liu*, Weijun Zhao. An alternative method for analyzing dimensional interactions of urban carrying capacity: Case study of Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Environmental Management, Volume 273, 1 November 2020, 111064. DOI: 10.1016/j.jenvman.2020.111064.

[16] Xuedi Ren, Qinglong Shao*, Ruoyu Zhong. Nexus between green finance, non-fossil energy use, and carbon intensity: Empirical evidence from China based on a vector error correction model. Journal of Cleaner Production, Volume 277, 20 December 2020, 122844. DOI: 10.1016/j.jclepro.2020.122844. (Highly Cited Paper)

[17] Qian Zhou, Qinglong Shao, Xiaoling Zhang*, Jie Chen. Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density. Land Use Policy. Volume 91, Feb 2020. DOI: 10.1016/j.landusepol.2019.104410.

[18] Xiaoling Wang, Yawen Wei, Qinglong Shao*. Decomposing the decoupling of CO2 emissions and economic growth in China’s iron and steel industry. Resources, Conservation and Recycling, Volume 152, January 2020. DOI: 10.1016/j.resconrec.2019.104509. 

[19] Xiaoling Wang, Qinglong Shao*, Jatin Nathwani, Qian Zhou. Measuring wellbeing performance of carbon emissions using hybrid measure and meta-frontier techniques: Empirical tests for G20 countries and implications for China. Journal of Cleaner Production, Volume 237, 10 November 2019. DOI: 10.1016/j.jclepro.2019.117758. 

[20] Qian Zhou, Xiaoling Zhang*, Qinglong Shao*, Xiaoling Wang. The non-linear effect of environmental regulation on haze pollution: Empirical evidence for 277 Chinese cities during 2002-2010. Journal of Environmental Management, Volume 248, 15 October 2019. DOI: 10.1016/j.jenvman.2019.109274. 

[21] Qinglong Shao, Xiaoling Wang*, Qian Zhou, László Balogh. Pollution haven hypothesis revisited: A comparison of the BRICS and MINT countries based on VECM approach. Journal of Cleaner Production, Volume 227, 1 August 2019, p.724-738. DOI: 10.1016/j.jclepro.2019.04.206. 

[22] Zhanglan Wu, Anke Schaffartzik, Qinglong Shao*, Dong Wang, Guicai Li, Yantao Su. Does Economic Recession Reduce Material Use? Empirical Evidence based on 157 Economies Worldwide. Journal of Cleaner Production, Volume 214, 20 March 2019, p. 823-836. DOI: 10.1016/j.jclepro.2019.01.015.

[23] Xiaoling Wang, Qinglong Shao*. Non-linear effects of heterogeneous environmental regulations on green growth in G20 countries: Evidence from panel threshold regression. Science of the Total Environment. Volume 660, 10 April 2019, p.1346-1354. DOI: 10.1016/j.scitotenv.2019.01.094. (Highly Cited Paper)

[24] Xiao Ouyang, Qinglong Shao*, Xiang Zhu*, Qingyun He, Chao Xiang, Guoen Wei. Environmental regulation, economic growth and air pollution: Panel threshold analysis for OECD countries. Science of the Total Environment, Volume 657, 20 March 2019, p. 234–241. DOI: 10.1016/j.scitotenv.2018.12.056. (Highly Cited Paper)

[25] Qinglong Shao*, Anke Schaffartzik, Andreas Mayer, Fridolin Krausmann. The high 'price' of dematerialization: A dynamic panel data analysis of material use and economic recession. Journal of Cleaner Production, Volume 167, 1 November 2017, p. 120-132. DOI: 10.1016/j.jclepro.2017.08.158.