Does spatiotemporal heterogeneity matter? Air transport and the rise of high-tech industry in China
Bibliographic Data
| ID | 21450084 |
|---|---|
| Authors | Fan Xiao (0000-0002-4934-3667, Université Libre de Bruxelles), Jiaoe Wang (0000-0003-1051-7727, Chinese Academy of Sciences, corresponding author), Meicheng Xiong (0009-0005-6227-6541, University of Minnesota), Huihui Mo (Chinese Academy of Civil Aviation Science and Technology) |
| Year | 2024 |
| Volume | 162 |
| Pages | 103148 |
| Publication date | 2024-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2023.103148 |
| OpenAlex | W4388728776 |
| Language | EN |
| Citations received | 5 |
| References cited | 51 |
Air transport has essential effects on economic landscapes. However, geographical issues, such as spatiotemporal heterogeneity, still lack full discussion. To fill this gap, our research built a multiscale geographically and temporally weighted regression (MGTWR) model with the help of panel data from 35 large and medium-sized cities in China during 2003–2017. The findings are as follows. First, a 1% increase in air transport passengers has resulted in a 0.1% growth in innovation performance in the high-tech industry . Second, these impacts showed spatiotemporal heterogeneity. Effects in Southwest China were valued higher than in other parts of China, and the results performed better as time progressed. Third, air transport was more global and long-term than other related factors, which provides a reference for significant changes in spatial and temporal intervals when doing the planning. These findings broaden our understanding of global and local associations between air transport and regional innovation
Air transport · China · Econometrics · Economic geography · Economics · Geographically Weighted Regression · Geography · Panel data · Regional science · Spatial heterogeneity · Statistics · Transport engineering · Aviation Industry Analysis and Trends · Ecology · Engineering · Spatial and Panel Data Analysis · Urban Transport and Accessibility
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| Unique citing works | 5 |
|---|---|
| Citations per year | 5 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |