RANKING THE LOCATION DETERMINANTS AS PER THEIR IMPORTANCE FOR THE FOREIGN INVESTORS – A SURVEY
Bibliographic record
Abstract
Based on the analysis of results gained from the surveys undertaken by international organisations, and based on personal survey, the aim of the research was to contribute to the identification of relevant determinants that have influence on multinational company’s location decisions when investing abroad. By using the method of questionnaire we have performed a survey in order to reveal the perception of the foreign investors in Macedonia. According to UNCTAD’s survey the most important location determinants globally are the following: the macroeconomic and political stability, the quality of telecommunications, availability and cost of the highly skilled labour, corporate taxes and quality of the banking and financial services. The analyses of the perception of the foreign investors in Macedonia shows that the corporate taxation is of the highest importance, followed by the political and macroeconomic stability, personal taxation and investment incentives. Additional analyses per sectors and type of investment (horisontal or vertical) shows variety of factor rankings.
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How this classification was reachedexpand
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".