AN ANALYSIS OF THE EU’S INVESTMENT POLICY AFTER CETA: EFFECTS ON THE BULGARIAN ECONOMY
Bibliographic record
Abstract
In this paper we analyze the changes of the EU’s investment policy provoked by the mixed trade agreements. The EU’s investment policy has turned towards attaining bilateral trade agreements. One of these “new-generation” agreements is the Comprehensive Economic and Trade Agreement (CETA). It is in a process of being ratified by the national parliaments of the EU members. This study is focused on the general characteristics of CETA and the eventual problems posed by its regulatory and wide-ranging nature. We prove that the significance of this agreement pertains not only to the economic influence, that it will have on the European and Canadian economies, but CETA is also the first trade agreement to have been negotiated with a focus on investment protection and a change in the EU’s investment policy. The current study reveals the influence arising from the conclusion of CETA on the Bulgarian economy with an emphasis on electronic industry, machinery industry and manufacturing. We estimate both – the direct and indirect effects on Bulgaria’s exports, imports, value added and employment. In order to estimate the influence, we apply the multi-regional input-output model. It is proved that CETA will have a low but positive impact on the Bulgarian economy. After constructing different scenarios of development, we prove that the influence of CETA on the Bulgarian economy will amount to 0.010% GDP. The average total employment will be increased by more than 172 jobs in Bulgaria, which in turn, relative to the labor market, represents less than 0.01% of the total employment.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".