Community-based economic romance and integration: assessing the feasibility of a currency union in South Asia
Bibliographic record
Abstract
Purpose This purpose of this study aims to critically evaluate the feasibility of establishing a single currency area within the South Asian Association for Regional Cooperation (SAARC) by examining the economic integration of its member states. The analysis focuses on the extent to which the region meets the criteria of the optimum currency area (OCA) theory, particularly in terms of business cycle synchronization, labor mobility and capital flows. Design/methodology/approach Using a vector autoregression (VAR) model within the aggregate demand-aggregate supply framework, this research investigates the symmetry of supply and demand shocks across SAARC economies. The study analyzes the synchronization of business cycles and the mobility of labor and capital to determine the readiness of SAARC for a unified currency. Findings The results indicate significant asymmetries in business cycles among SAARC countries, with substantial disparities in economic responses to shocks. These findings suggest that the region lacks the necessary economic synchronization required for a successful single currency area. Limited labor and capital mobility further complicate the potential for economic integration within SAARC. Research limitations/implications The study is constrained by data inconsistencies and the limited range of economic indicators available for SAARC countries. Future research should expand the analysis to include a broader set of socioeconomic factors and more comprehensive data sets to better assess the region’s potential for monetary integration. Practical implications The study highlights the challenges of forming a currency union in South Asia due to economic disparities and limited mobility. However, gradual steps toward deeper regional integration, improved financial infrastructure and enhanced cross-border collaboration could foster long-term economic stability, growth and social cohesion in the SAARC region. Social implications The research highlights the potential social benefits of enhanced economic integration, such as increased community resilience and social cohesion, while also warning of the risks associated with premature monetary union in a region with significant economic disparities. Originality/value This study provides a detailed analysis linking the theoretical framework of the OCA to the practical realities of economic integration in South Asia. By focusing on the specific economic conditions of SAARC member states, the research offers valuable insights for policymakers considering regional monetary integration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".