International Migrant Remittances in the Context of Economic and Social Sustainable Development. A Comparative Study of Romania-Bulgaria
Bibliographic record
Abstract
The economic stability is the main goal of every country’s administration, contributing to the decrease of uncertainty, creating an attractive business environment, attracting foreign direct investment and contributing to economic growth, which increases the standard of living, reduces income inequalities, represents a sustainable development for the country and puts an end to the migration process. Migration flows lower the demographic resources of the states going through this process and consequently they compromise the possibility for future generations to support a sustainable economic growth. Migration is a process with an aggressive and alarming manifestation in Romania and Bulgaria, raising the problem of the future capacity of these countries to ensure long-term economic and social sustainability and requiring an analysis framework from a scientific perspective. The current study proposes a comparative study to identify the important determinants of international migration in the EU28 and analyses the impact of remittances on economic growth/stability and income inequality in Romania and Bulgaria—Central and Eastern Europe countries—for the period between 1990 and 2015. The main contribution of the present study consists in emphasising the common determinants of the two countries regarding the migration process and at the same time providing solutions to improve government policies to contribute to the economic and social sustainability. The authors employed a multiple regression model and the correlation analysis, and tested 8 hypotheses for Romania and Bulgaria. The results indicated that the main determinants of the migration process in Romania and Bulgaria are the inflation rate, the income inequality and household consumption expenditure. Furthermore, the results indicated that there is not a direct relationship between the remittances received/capita and GDP/capita growth rate in Romania and Bulgaria. In addition, there is a direct relationship (negative and with average intensity) between the remittances received/capita and price inflation rate in Romania but not in Bulgaria. In the case of Romania and Bulgaria, the results indicate that there is a direct relationship with a similar intensity between the remittances received/capita and the unemployment rate, the household final consumption and income inequality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".