Vergi politikalarının uluslararası doğrudan yabancı sermaye yatırımları üzerindeki etkileri
Bibliographic record
Abstract
Dünya ekonomisi, özellikle içinde yaşadığımız son çeyrek yüzyıl içerisinde hızla küreselleşme sürecine girmiştir. Küreselleşme olgusu ile birlikte ülkeler arasındaki ekonomik sınırlar ortadan kalkmaya başlamıştır. Gelişmiş, gelişmekte olan ve az gelişmiş ülkeler arasında ekonomik işbirliği imkanları hızla ilerlemeye başlamıştır. Bu ekonomik işbirliğinin başında ülkeler arasında yapılan doğrudan yatırımlar gelmektedir. Doğrudan yapılan yatırımlar gittiği ülkede ekonomik ve sosyal etkiler yaratmaktadır.\nBir ülkenin başka bir ülkeye doğrudan yatırım yapma kararı almasında bir çok etkenler vardır. Bunlardan birisi de yatırım yapılacak olan ülkede uygulanan vergi politikalarıdır. Bu tezin amacıda hem ülkemizde hemde dünyada uygulanan vergi politikalarının, gerçekleştirilen doğrudan yabancı sermaye yatırımları üzerindeki etkileri incelenmiştir. \nABSTRACT\nEspecially in the last quarter of the century that we are living, world economy is in the duration of globalization. With the globalization, economic borders between the countries has started to dissapear. Among developed, developing and underdeveloped countries, opportunities of economic collaboration has started to develop. International direct investments is spearheading in this economical collaboration. Direct investments has social and economical effects in the countries having investments. \n There is various reasons in decision of investment of a country to another country. One of these is a tax policy of a country which will have investent. In this thesis, effects of tax policies of our country and that of the world’s on the foreign capital investments have been investigated.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.008 |
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".