Covid-19
Analysis of Factors Affecting the Economy of Hunan Province Based on the Spatial Econometric Model
Bibliographic Data
| ID | 22068896 |
|---|---|
| Authors | Wen-Tsao Pan (0000-0003-4482-7096, Hunan University of Science and Engineering), Wu Zhonghuan, Zhong-huan Wu (0000-0002-6780-0649, Guangzhou Automobile Group (China), corresponding author), Shiqi Chen (0009-0000-8416-8908, Hunan University of Science and Engineering), Chen Shiqi, Xiao Siyi (Hunan University of Science and Engineering), Yanping Tang (0000-0003-4947-1762, Hunan University of Science and Engineering), Tang Yanping, Liang Danying (Hunan University of Science and Engineering) |
| Year | 2022 |
| Volume | 9 |
| Pages | 802197-802197 |
| Publication date | 2022-03-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.802197 |
| PMID | 35350637 |
| OpenAlex | W4220757693 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
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 Chang-Zhu-Tan is high, and the economic growth of the entire province can be influenced by these cities. These cities should adopt strategies to improve the economy, such as reducing the tax revenues, improving the local financial revenues, and reducing the ineffective educational input. These results can also be helpful for policymakers, who will attempt to retransform the Hunan economy during the post-COVID era
Econometric model · Econometrics · Economic geography · Economics · Economy · Geography · Macroeconomics · Pandemic · Panel data · Revenue · Tax revenue · COVID-19 epidemiological studies · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Finance
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |