Role of Revenue Mobilisation in the Growth and Development of Economy: A Case Analysis of Greece
Why this work is in the frame
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Bibliographic record
Abstract
The mobilizing processes in terms of long-term impact on the economy of Greece and the euro zone. Thereafter, Troika was invented in order to facilitate Greece to overcome the historical crisis.Research aim: The research has its focus on bureaucratic obstacles as well as complicated policies of fiscal laws under European Governance and regulations. Revenue mobilization might have influenced the country from a huge amount of debts. Since, it has been proved to be productive and effective, as per policies formed from the transferable Troika’s policies. The contemporary crisis was handled with the resiliency of revenue mobilization along with digitization and innovations. The primary objective of the tax system is to raise the revenue that will aid in offering the nation with valuable services to the citizens, developing the nation, encouraging innovations and trade.Period: the period of imposing revenue mobilization in the growth and the development of the economy of Greece.Research method: After the whole research study the methodologies used is the secondary methods where no analysis or physical surveys are done. The primary methods are not used all the methods are based on the researches and the studies available. The effects that have been observed by the development functions and the statistics that is available after the influence of the growth after the revenue mobilization.Country: The country taken here is GREECEResearch result: Revenue mobilization has been considered as an excellent choice for the development of the economy of a country. Taking help from the International Monetary Fund or the World Bank is considered as debt which has to be repaid, whereas revenue is collected from the country itself as taxation and tariffs. The revenue has helped the government to accumulate capital for various expenditures in the development of the nation such as building infrastructure and improving health facilities.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it