The relation between complexity and synergy in the case of China
Different ways of predicting GDP growth in a complex and adaptive system
Bibliographic Data
| ID | 21378439 |
|---|---|
| Authors | Inga Ivanova (0000-0002-5441-5231, National Research University Higher School of Economics, corresponding author) |
| Year | 2022 |
| Volume | 56 |
| Issue | 1 |
| Pages | 195-215 |
| Publication date | 2022-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quality & Quantity (JOURNAL) |
| Journal identifiers | ISSN: 0033-5177 • E-ISSN: 1573-7845 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11135-021-01118-6 |
| OpenAlex | W3134517488 |
| Language | EN |
| Citations received | 3 |
| References cited | 17 |
China · Data mining · Distribution (mathematics) · Econometrics · Economics · Geography · Investment (military) · Linear regression · Measure (data warehouse) · Per capita · Political science · Relation (database) · Statistics · Computer Science · Economic and Technological Innovation · Economic Growth and Productivity · Mathematics · University-Industry-Government Innovation Models
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| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |