Innovative and Investment Activities of Enterprises within Eco-Industrial Parks in the Circular Economy Context
Bibliographic record
Abstract
The purpose of the study is to substantiate the effectiveness of innovative and investment activities of enterprises within the functioning of eco-industrial parks in the circular economy context.The methodological basis of the research is system and synergistic approaches, the application of which makes it possible to study innovation and investment activities of enterprises that are part of the eco-industrial park as certain subsystems, which in the end, as components of the park, provide a synergistic effect.It is substantiated that the unification of production enterprises within eco-industrial parks consists in a more integrated interaction of enterprises, including through joint investment.The proposed methodical approach to calculating the efficiency of innovation and investment activity of enterprises included in ecoindustrial parks and its approval proves the possibility of obtaining a positive effect from investment activities and investment in innovative projects by enterprises united in ecoindustrial parks in the context of the circular economy.The analysis of the share of production enterprises that implement innovations, as well as the share of the volume of innovative products sold to the total volume of manufacturing enterprises prove the need to intensify the innovative activity and the introduction and development of eco-industrial parks.The advantages of innovation and investment activities within eco-industrial parks in the circular economy context are highlighted.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".