The Effect of Corporate Profit Tax on Attracting Foreign Direct Investment in Albania
Bibliographic record
Abstract
The aim of this study is to analyze the major cause of the instability of foreign direct investments in Albania these last years, their lowest level of FDI when compared with other countries in the region, and the importance of these investments in developing countries like Albania. The size of FDI has a significant effect on the financial and macroeconomic factors, government and infrastructure factors, and the factors by fiscal nature. In this study, we disengage fiscal factors and in particular, the corporate profit tax rate. The aim of this study was to prove that in countries with weak legal infrastructure, this factor is statistically significant in attracting Foreign Direct Investment. Thus, should Albania be considered as a country with weak legal infrastructure? Due to this question, we took into consideration specific indicators measured in recent years by various world organizations by comparing them with various countries of the region. Also, we built an econometric model through multiple regression by collecting data on the tax rate applied in Albania from 1992- 2016, and the level of FDI for this period. This is in a bid to ascertain the effect or impact that profit taxes has on FDI inflows in Albania. In conclusion, Corporate Tax Rates is a factor that has a very significant impact on the size of FDI in Albania.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".