Wen-Tsao Pan
Biographic Data
| ID | 9530863 |
|---|---|
| NAME | Wen-Tsao Pan |
| GIVEN NAMES | Wen-Tsao |
| FAMILY NAME | Pan |
| SIGNATURE | PAN W |
| AFFILIATIONS | Guangdong University of Foreign Studies |
| ORCID | 0000-0003-4482-7096 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Covid-19
The COVID-19 pandemic has spread across the country negatively impacting on the economy. This paper uses the panel data of 14 prefecture-level cities from 2015 to 2020 in Hunan to determine the factors and effects of economic downturns based on the spatial econometric model. We calculate the Moran index, so-called the Moran's I, to analyse the impact of each factor on the economy. The results show that the spatial correlation of the cities around…
Determinants of Tourism Stocks During the Covid-19
This paper examines the determinants of tourism stock returns in China from October 25, 2018, to October 21, 2020, including the COVID-19 era. We propose four deep learning prediction models based on the Back Propagation Neural Network (BPNN): Quantum Swarm Intelligence Algorithms (QSIA), Quantum Step Fruit-Fly Optimization Algorithm (QSFOA), Quantum Particle Swarm Optimization Algorithm (QPSO) and Quantum Genetic Algorithm (QGA). Firstly, the ro…
Research on sustainable development and efficiency of China's E-Agriculture based on a data envelopment analysis-Malmquist model
No prominent works on this page.
Determinants of Tourism Stocks During the Covid-19
This paper examines the determinants of tourism stock returns in China from October 25, 2018, to October 21, 2020, including the COVID-19 era. We propose four deep learning prediction models based on the Back Propagation Neural Network (BPNN): Quantum Swarm Intelligence Algorithms (QSIA), Quantum Step Fruit-Fly Optimization Algorithm (QSFOA), Quantum Particle Swarm Optimization Algorithm (QPSO) and Quantum Genetic Algorithm (QGA). Firstly, the ro…
Research on sustainable development and efficiency of China's E-Agriculture based on a data envelopment analysis-Malmquist model
Covid-19
The COVID-19 pandemic has spread across the country negatively impacting on the economy. This paper uses the panel data of 14 prefecture-level cities from 2015 to 2020 in Hunan to determine the factors and effects of economic downturns based on the spatial econometric model. We calculate the Moran index, so-called the Moran's I, to analyse the impact of each factor on the economy. The results show that the spatial correlation of the cities around…
Geography (3 works) · Computer Science (2 works) · Economics (2 works) · Mathematics (2 works) · Agricultural Innovations and Practices (1 work) · Agriculture (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Benchmarking (1 work)