Bibliographic record
Abstract
Depending on the scope of the concept of competitiveness, it is used in a variety of contexts in economic research, although there is a lack of a precise and generally accepted definition of what exactly it entails. In this study, competitiveness is considered from the point of view of market performance, using the developed theoretical framework for measuring the performance of an individual country or sector of the national economy, based on the definition of the Canadian Competitiveness Group: “The ability to sustainably win and maintain market share”. Two concepts are laid down in it – about the dynamics of market share and profit formation in order to achieve sustainable development over time.The aim of the present study is to evaluate the competitiveness of the Bulgarian vegetable production sector on the world market, to clearly note its change in a dynamic aspect.The research specifically adopted the methodology developed by B. Ivanov for calculating a composite index ofcompetitiveness, containing two main components - production and value.The analysis shows the place of Bulgarian vegetable production in the national agriculture and in the world vegetable market, the dynamics and changes that reflect in the competitiveness of the sector during the years of EU membership – 2007 – 2021.The comprehensive assessment of the competitiveness of the vegetable crop sector in Bulgaria on world markets defines it as relatively low. The results obtained from the research confirm and complement the assessment of the competitiveness of the “Vegetable production” sector in Bulgaria, made by other Bulgarian researchers.Despite the favorable climate and natural features in our country, as well as our traditions in the production of vegetables, the sector is deteriorating its market position and the dynamics of competitiveness are rather negative. The research clearly shows that Bulgaria is losing positions in the production of vegetables, while at the same time its dependence on imports and foreign prices is increasing. The sector of vegetable production is among the vulnerable sectors of the Bulgarian agriculture, as the permanent negative trends of reduction of areas and production are projected in the inability to meet consumer needs in our country from high-quality domestic production.The future development of the sector and the increase of its competitiveness will depend on many factors, some of the most important of which are the extent to which vegetable producers will be able to be flexible and adapt to achieve the new environmental policy objectives; to what extent they will be able to respond to modern trends in agricultural production – digitalization, ecological/biological agriculture, new technological solutions.
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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 | 0.030 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.004 | 0.014 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.016 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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; both teacher heads agree on what is shown here.
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".