Factors Affecting the Performance of Agri Small and Medium Enterprises with Evidence from Kosovo
Bibliographic record
Abstract
Abstract The agri SMEs in Kosovo are facing challenges that are reducing competitiveness and preventing it from fulfilling their production potential. The main constraints in increasing productivity and improving competitiveness are the low use of modern techniques and technologies in both production and management of enterprises, lack of funds, the low use of inputs, and the limited ability to meet international standards of food safety. This paper is focused on the analysis of the impact of agricultural SMEs in the rural economy of the country and the problems related to the impact. The data used for this analysis are the data conducted for the Farm Structure Survey (FSS) which includes the farmers’ list from Agricultural Records compiled by the Kosovo Agency of Statistics (KAS) in 2014, as well as the lists of beneficiaries for both direct payments/subsidies and for grants for the period of 2014 to 2017 received by the Agency for Agriculture Development. From the research results, significant factors having an effect on the annual income of agris SMEs are the following: income from the sale of agricultural products, income from subsidies, income from non-agricultural activities, income from salaries, remittances, and income from other activities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".