Diagnosing Critical Slowing Down and Resilience in Macroeconomic Systems During Global Turbulence
Evidence From the Republic of Tajikistan
Datos Bibliográficos
| ID | 21864500 |
|---|---|
| Autores | M F Khakimova (0009-0008-3598-8756, Tajik National University), S M Drobyshevsky (0000-0002-3979-0981, The Russian Presidential Academy of National Economy and Public Administration), L Kh Saidmurodzoda (0009-0005-2000-3895, Academy of Sciences of the Republic of Tajikistan) |
| Año | 2026 |
| Volumen | 21 |
| Número | 3 |
| Páginas | 6-25 |
| Fecha de publicación | 2026-06-20 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Economic Policy (JOURNAL) |
| Identificadores de la revista | ISSN: 1994-5124 • E-ISSN: 2411-2658 |
| Editorial | Economic Policy (PUBLISHER) |
| DOI | 10.18288/1994-5124-2026-3-6-25 |
| OpenAlex | W7165490917 |
| Idioma | EN |
| Referencias citadas | 11 |
This paper utilizes nonlinear dynamics and complexity theory to analyze dynamic resilience of the Republic of Tajikistan from 2010 to 2025. Identification of tipping points in this study was carried out with nonlinear dynamics, which can detect Critical Slowing Down (CSD) signals before they manifest overtly in macroeconomic indicators. The authors reconstructed the phase change of Takikstan’s economy based on Takens’ Theorem with inputs from cyclical components of GDP data and industrial production indices. Particular emphasis was placed on the analysis of CSD indicators, such as autocorrelation and time-series variance. The study mathematically verified a phase change of the macrosystem that occurred in 2019. Prior to 2018, the economy exhibited “fragile” equilibrium characterized by high autocorrelation coefficients ( = 0.89) accompanied by a loss of resilience. The commissioning of the first units of the Rogun Hydropower Plant was identified as a change in the control parameter (an order parameter according to Haken), which triggered bifurcation and the system’s transition into a new “high-energy” source of attraction. The authors have provided econometric evidence that Tajikistan’s current leadership in industrial growth rates within the CIS (reaching a record 22.1% in 2025) and stable economic growth of 8.4% are not short-term outliers, but rather direct consequences of the formation of a new stable industrial-type attractor. The predictive toolkit developed here can be utilized by government authorities for monitoring systemic risks and preemptively mitigating macroeconomic instability when implementing national development strategies and medium-term development programs for the Republic of Tajikistan
Autocorrelation · Corporate governance · Hydropower · Language change · Psychological resilience · Warning system · Economic and Technological Innovation · Ecosystem dynamics and resilience · Regional resilience and development
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |