Optimization of the financial decentralization level as an instrument for the country’s innovative economic development regulation
Bibliographic record
Abstract
This article generalizes arguments and counter-arguments within the scientific discussion regarding the determination of the optimal decentralization level, which will provide the country’s innovative development, since the key task of decentralization has to be not only to expand the income and expenditure powers of the subnational formations but also to understand the final goal of this process – qualitative transformation of the country’s economic system towards improving its innovativeness and competitiveness. Thus, the decentralization reform has to be the driver of the innovative economic development, which is the expected result of the managerial decision-making freedom increase at the local level, the subnational formations’ financial self-sufficiency increase and more effective spending policy (expansion of the innovative projects financing amounts that will promote the sustainable economic growth). Systematization of the scientific works on the above problems proves that there is no one idea regarding the decentralization impact on the country’s economic and innovative development among scientists. That is why it is urgent to continue the empirical searching in this area, that will enable to take into account the dual nature of consequences regarding the activation of the decentralization processes. The empirical study is carried out through using of the non-linear analysis form of dependence (GLM regression, which enables to identify the linear and nonlinear character of the relationship between variables) based on the panel data, formed for set of 23 states-OECD members (Austria, Belgium, Canada, the Czech Republic, Denmark, Estonia, Finland, France Germany, Greece, Hungary, Italy, Netherlands, Norway, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, Switzerland, Great Britain and the USA) during 2002-2015. The expenditure decentralization index, calculated as the ratio between the consolidated expenses amount at the subnational level and state consolidated expenses, expressed in parts of the whole, is chosen as the factorial variable model. The final variable (traditional for the economic growth models) is GDP per capita (dollars the USA). Besides, the set of control variables is added to this regression model (which explain the regularities of the resultative feature change and have a strong relationship with it). The control variables are selected on the basis of correlation analysis. The practical implementation of all stages in this research is performed using the software product Stata 12/SE. The results of the study confirm the non-linear character of dependence (the inverse U-shape) regarding the GDP change per capita on the expenditure decentralization level change, and also the maximum extremum of the function in the point with expenditure decentralization level 1.35. It means that excessive expenses load (above the specified norm) on the local budgets will be accompanied by inhibition of the innovative and economic dynamics, that should be taken into account by the relevant authorized executive bodies in investigation of the concrete measures regarding intergovernmental relationships reforming in direction of their decentralization, and in the formation of the well-balanced economic and innovative policies.
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.
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 | 0.000 | 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".