INFLUENCE OF ECONOMIC SPACE IMBALANCES ON THE FUNCTIONING OF THE ENTERPRISE FINANCIAL MECHANISM
Bibliographic record
Abstract
The purpose of this article is to analyse the nature of imbalances in the economic space, as the problem of impact on the functioning of the financial mechanism of the enterprise is especially relevant for Ukraine, because the results of the domestic financial sector are unbalanced. At the same time, a significant impact is reflected in the functioning of the financial mechanism of the enterprise, expanding its functional load. The instability of economic conditions in Ukraine significantly affects the financial and economic activities of economic entities, which causes non-fulfilment of their planned tasks for the development of their own business. To ensure the successful operation, enterprises must assess the imbalances of the economic space, which are precursors to the development of crisis processes that can have a devastating effect. Methodology. In the course of the research it has been found that the financial mechanism of the enterprise is subject to influence both at the level of the enterprise itself and at the level of economic space. It is determined that the main source of information on the imbalance of the economic space is the balance of payments. Balance of payments is the ratio between the amount of cash received by the country from abroad and the amount of payments abroad during a certain period (year, quarter, month). The main component of the balance of payments is the current account, and the most important item is the balance of goods (trade balance). Its condition determines the state of the balance of payments as a whole, and its dynamics demonstrates the effectiveness of macroeconomic policy. The positive balance of trade indicates an increase in demand for goods and services of the country. The negative balance indicates the low competitiveness of the country’s goods abroad. In the case when the value of exports exceeds the value of imports, a trade surplus is formed. If the value of imports exceeds the value of exports, then there is a trade deficit. The financial account of the balance of payments reflects the sale and repayment of financial claims of one country to another. All financial transactions are classified into three groups: direct investment, portfolio investment, and other investments. The dynamics of the financial account during the study period is negative. This indicator was affected by the crisis in the economy, as well as imperfect legislative support for foreign investors in Ukraine. Results. Theoretical information and structure of the balance of payments are presented, balance of payments articles are analysed, the dynamics of the balance of payments of Ukraine is outlined. The main feature of 2015-2019 is the strengthening of globalization. The intensification of relations between the countries leads to a stronger integration of the whole economy, which in turn creates additional risks associated with the transmission of possible crises in the chain. Value/originality. It is established that the functioning of the financial mechanism of the enterprise is considered under the influence of many factors of the system, in particular economic space. The generation of these imbalances leads to an increase in the vulnerability of the financial mechanism, violating the stability, which is manifested in the inability to resist changes in the situation. By assessing the imbalances of the economic space on the basis of macroeconomic and monetary indicators obtained during the monitoring, economic entities will be able to counteract shocks in the event of a change in the situation.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".