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Yan Li
Yan Li
Business School,Shandong University
Подтвержден адрес электронной почты в домене sdu.edu.cn
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Процитировано
Процитировано
Год
Measuring the efficiency and driving factors of urban land use based on the DEA method and the PLS-SEM model—A case study of 35 large and medium-sized cities in China
X Zhu, P Zhang, Y Wei, Y Li, H Zhao
Sustainable Cities and Society 50, 101646, 2019
1912019
Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency
X Zhu, Y Li, P Zhang, Y Wei, X Zheng, L Xie
Land Use Policy 88, 104083, 2019
1322019
Influential factors of national and regional CO2 emission in China based on combined model of DPSIR and PLS-SEM
Y Wei, X Zhu, Y Li, T Yao, Y Tao
Journal of cleaner production 212, 698-712, 2019
982019
The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement
Y Wei, Y Li, M Wu, Y Li
Energy Economics 78, 365-378, 2019
882019
Identifying price bubbles in the US, European and Asian natural gas market: Evidence from a GSADF test approach
Y Li, J Chevallier, Y Wei, J Li
Energy Economics 87, 104740, 2020
732020
Promoting inclusive water governance and forecasting the structure of water consumption based on compositional data: A case study of Beijing
Y Wei, Z Wang, H Wang, T Yao, Y Li
Science of the Total Environment 634, 407-416, 2018
722018
Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles
Y Li, Y Wei, X Zhang, Y Tao
Structural Change and Economic Dynamics 53, 237-256, 2020
682020
Is urban development ecologically sustainable? Ecological footprint analysis and prediction based on a modified artificial neural network model: a case study of Tianjin in China
M Wu, Y Wei, PTI Lam, F Liu, Y Li
Journal of Cleaner Production 237, 117795, 2019
672019
Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data
Y Wei, Z Wang, H Wang, Y Li, Z Jiang
PLoS One 14 (4), e0212772, 2019
582019
Compositional data techniques for forecasting dynamic change in China’s energy consumption structure by 2020 and 2030
Y Wei, Z Wang, H Wang, Y Li
Journal of Cleaner Production 284, 124702, 2021
532021
Sustainable development and green gross domestic product assessments in megacities based on the emergy analysis method—A case study of Wuhan
Y Wei, Y Li, X Liu, M Wu
Sustainable Development 28 (1), 294-307, 2020
442020
Pathways to progress sustainability: an accurate ecological footprint analysis and prediction for Shandong in China based on integration of STIRPAT model, PLS, and BPNN
Y Li, Z Wang, Y Wei
Environmental Science and Pollution Research 28 (39), 54695-54718, 2021
402021
Will China Achieve Its Ambitious Goal?—Forecasting the CO2 Emission Intensity of China towards 2030
Y Li, Y Wei, Z Dong
Energies 13 (11), 2924, 2020
382020
Connecting emerging industry and regional innovation system: Linkages, effect and paradigm in China
Y Li, Y Wei, Y Li, Z Lei, A Ceriani
Technovation 111, 102388, 2022
342022
Empirical analysis of the driving factors of China’s ‘land finance’mechanism using soft budget constraint theory and the PLS-SEM model
X Zhu, Y Wei, Y Lai, Y Li, S Zhong, C Dai
Sustainability 11 (3), 742, 2019
302019
Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model
Y Wei, Y Li, M Wu, Y Li
Sustainable Development 28 (4), 521-539, 2020
292020
Multiple price bubbles in global major emission trading schemes: Evidence from European Union, New Zealand, South Korea and China
Y Wei, Y Li, Z Wang
Energy Economics 113, 106232, 2022
282022
Identifying price bubble periods in the Bitcoin market-based on GSADF model
Y Li, Z Wang, H Wang, M Wu, L Xie
Quality & Quantity, 1-16, 2021
242021
Pathways to a low-carbon economy: estimations on macroeconomic costs and potential of carbon emission abatement in Beijing
Y Li, Y Wei, S Shan, Y Tao
Journal of Cleaner Production 199, 603-615, 2018
202018
China’s provincial eco-efficiency and its driving factors—Based on network DEA and PLS-SEM method
Z Li, Y Wei, Y Li, Z Wang, J Zhang
International journal of environmental research and public health 17 (22), 8702, 2020
182020
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