Qinglong Shao is Humboldt Fellow (Professor W-1) at the Freie Universität Berlin, listed as “Top 2% Scientists Worldwide 2023 by Stanford University.” He holds a Ph.D in Environmental Science and Technology (focus on Ecological Economics) from the Autonomous University of Barcelona with an International Mention. His research focuses on environmental economics, climate policy, digitalization of the socio-economic aspect, Doughnut Economics, etc. He is currently the host of a project from the National Natural Science Foundation of China (NSFC) and a project from the Alexander von Humboldt-Stiftung. His work has appeared in leading area studies and social science journals including npj Climate Action, Technological Forecasting and Social Change, Technology in Society, Journal of Innovation & Knowledge, Telecommunications Policy, Resources Conservation and Recycling, Land Use Policy, Health Economics Review, Renewable Energy, Energy for Sustainable Development, Journal of Asian Economics, Journal of Environmental Management, Energy and Climate Change, Journal of Cleaner Production, Science of The Total Environment, Marine Policy, Marine Pollution Bulletin, Ocean & Coastal Management, etc. He has a Google Scholar H-Index of 20 and more than 1700 citations until Oct. 2023 (Web of Science/Scopus H-Index of 18 and more than 1400 citations). Alongside his academic work, he also serves as the Editorial Board Member in Environmental Technology & Innovation (SCI Q1, IF: 7.1), Sustainable Development (SSCI Q1, IF: 12.5) and the Nature family journal Humanities and Social Sciences Communications (SSCI Q1, IF: 3.5). He is also the Guest Editor of Humanities and Social Science Communications, Frontiers in Energy Research, and Sustainability.

Research interests:

• Digitalization
• Planetary boundaries
• Energy policy
• Ecological Economics
• Marine environmental management

Hosted research projects:

• Alexander von Humboldt-Stiftung (Grant Number: CHN 1194898 HFST-P, 2022-2024): "Digital governance for sustainable development in the COVID-19 era in China: a planetary boundary perspective"
• National Natural Science Foundation of China (Grant Number: 71903131, 2020-2022): "Sustainability evaluation of the Guangdong-Hong Kong-Macao Greater Bay Area based on spatial econometrics and planetary boundaries"
• China Postdoctoral Science Foundation (Grant Number: 2019M653047, 2019-2020): "Empirical analysis of global material flow analysis and economic recession based on econometric models"
• Research project of Shenzhen Development and Research Center (2019-2020):"High-quality utilization of land resources in megacities"

Selected Articles in Peer-Reviewed Journals

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

Qinglong Shao*, Genia Kostka. The COVID-19 pandemic and deepening digital inequalities in China. Telecommunications Policy. 2023.   DOI: 10.1016/j.telpol.2023.102644

Limei Ma, Qianying Wang, Dan Shi, Qinglong Shao*. Spatiotemporal pattern and determinants of renewable energy innovation: Evidence from the provincial-level analysis in China. Humanities and Social Sciences Communications. 2023, 10 (357). DOI: 10.1057/s41599-023-01848-y

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

https://www.sciencedirect.com/science/article/pii/S0973082623000492

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

https://www.sciencedirect.com/science/article/pii/S2444569X23000653

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

https://www.sciencedirect.com/science/article/abs/pii/S0960148122014306

Qinglong Shao*. Does less working time improve life satisfaction? Evidence from European Social Survey. Health Economics Review. Volume 12, 2022. DOI: 10.1186/s13561-022-00396-6

https://healtheconomicsreview.biomedcentral.com/articles/10.1186/s13561-022-00396-6

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

https://www.sciencedirect.com/science/article/abs/pii/S2666278722000095

Junjie Guo, Youshu Li, Qinglong Shao*. Cross-category spillover effects of economic policy uncertainty between China and the US: Time and frequency. Journal of Asian Economics, Volume 80, March 2022, 101462. DOI: 10.1016/j.asieco.2022.101462

https://www.sciencedirect.com/science/article/abs/pii/S1049007822000227

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

https://www.sciencedirect.com/science/article/abs/pii/S0040162522000038

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

https://www.sciencedirect.com/science/article/abs/pii/S0160791X2100155X

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

https://www.sciencedirect.com/science/article/abs/pii/S004016252100439X

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

https://www.sciencedirect.com/science/article/abs/pii/S0308597X20310009

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

https://www.sciencedirect.com/science/article/abs/pii/S0308597X19308371

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

https://www.sciencedirect.com/science/article/pii/S0301479720309920

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

https://www.sciencedirect.com/science/article/abs/pii/S0959652620328894

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

https://www.sciencedirect.com/science/article/abs/pii/S0264837719309354

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

https://www.sciencedirect.com/science/article/abs/pii/S092134491930415X

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

https://www.sciencedirect.com/science/article/abs/pii/S0048969719301056

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

https://www.sciencedirect.com/science/article/abs/pii/S0959652617318875