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Global Experience in Improving Multi-Level Coordination of the Management of Public Investments to Ensure Their Efficiency

2024· article· en· W4400881306 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBusiness Inform · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianInvestment (military)BusinessProcess (computing)PillarIndustrial organizationEconomicsPolitical scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

The issue of improving the multi-level coordination of the management of public investments to ensure their efficiency is especially relevant for Ukraine, as its effective mechanisms maximize the return on investment for regional development. Ukraine will need significant public investment to recover from the destruction caused during the Russian-Ukrainian war, and these investments are (and will be) the driving force behind the recovery of the domestic economy. In conditions when investment opportunities and investment funds are limited, the question arises of their rational use and direction to achieve prioritized tasks. Taking into account the fact that the implementation of public investments is a long process with a wide range of persons involved, the issue of the efficiency of multi-level coordination of public investment management becomes especially acute. The experience of different countries, and especially the members of the Organization for Economic Cooperation and Development (OECD) in the field of establishing effective multi-level coordination of authorities at different levels, needs to be highlighted and taken into account in domestic practice. The theoretical and methodological basis of the study is a number of OECD materials, as well as scientific works of foreign and Ukrainian scholars. The article summarizes the experience of OECD member countries (both positive and negative) in the field of multilevel management. Emphasis is placed on the first pillar of the OECD Recommendation and the three principles it incorporates, in particular, the use of an integrated strategy adapted to local characteristics, the introduction of effective coordination instruments and horizontal coordination. Among the best implementation practices are the examples of the European Union, Japan, New Zealand, Australia, Austria, Canada, France, the United Kingdom, Turkey, Luxembourg and Switzerland. A number of steps towards improving the multi-level coordination of the management of public investments in Ukraine to ensure their efficiency have been proposed.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.097
GPT teacher head0.278
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it