Improving the Mechanisms of Public-Private Partnership
Bibliographic record
Abstract
Development of the Russian economy causes the growth of public requirements and structural changes connected with it directed to an increase in the efficiency of social and economic tasks solution. Need of partnership of the state and private business development for the solution of problems in the social and economic sphere predetermines by the insufficiency of opportunities of the public (budgetary) financing of investment projects, large-scale and significant for society. The public-private partnership (PPP) acts as one of the modern economic mechanisms allowing realizing the interaction of the state and business. The PPP, on the one side, represents a special form of influence of state authorities and management for the purpose of stimulation of business activity, and with another, acts as the economic mechanism of the solution of social and economic tasks. The article is devoted to the consideration of the public-private partnership mechanism as one of the most modern methods of economic activity state regulation which basis the basic coordination principle of the parties interests and allowing to combine interests and technologies of business. Need and the prospects of further development of mechanisms of state-private partnership on the basis of the state strategic planning are proved. Special attention is paid to the interrelation of development of public-private partnership and need of theoretical scientific research in the field of improvement of institutional, ensuring its realization. It is shown that the role of the mechanism of public-private partnership in the economy is defined, first of all, by its elements as subjects and objects of public-private partnership, priority spheres of realization. Authors allocate and describe a number of aspects of the mechanism of functioning of public-private partnership, namely: organizational and legal, financial and investment, technical and organizational, regional. In the article, the main problems connected with the development of the mechanism of PPP, including with lack of the description of concrete mechanisms of use of the majority of forms of PPP and lack of regulation of questions of division of powers between public authorities and business are allocated and proved.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".