4.3.2 Justification of the list and size of indicators from the formula for the distribution of budget funds

The enactment of the Resolution of the Cabinet of Ministers of Ukraine No. 191 on the indicative cost of education services has significantly reduced the possibilities of dumping, which was a very common phenomenon until 2020. This resolution has significant shortcomings, but still regulates the formation of prices for educational services, in particular in the regional aspect.

Thus, the average cost of educational services by region can be a more or less objective integrated indicator of solvency in education. In contrast, for example, to the average wage, which does not take into account informal household income. In this regard, it is proposed to link the size of the indicator of the level of regional support of a certain higher education institution RSi from this region (k) to the average annual cost of educational services for higher education in the previous year. To clarify, it is possible to use the weighted average cost by specialties and levels of education.

In addition, it is proposed to increase the weight of this indicator in the integrated performance Ai of a particular HEI. To do this, it is necessary to increase its variability to at least 0.2 units.

This means that its minimum value is 1.0, while the maximum value is 1.2.

Offered:

  • correlate the minimum value of the average value of Cmin from regions (k) with = 1.1 for HEIs from this region;
  • correlate the maximum value Cmax of RSi = 1.0 for the HEI of the respective region;
  • proportionally distribute the value of the indicator of the level of regional support of a certain higher education institution RSi from 1.0 to 1.1 in steps of 0.02 at six intervals, according to the average annual cost of educational services for higher education in the previous year in the region. The distribution of the six values RSi from 1.0 to 1.1 by region is as follows.

First, calculate the difference between the maximum and minimum average value, which is divided into six intervals. Then each of these intervals is assigned the value of regional support of the region (k) from 1.0 to 1.1 in steps of 0.02. Finally, the level of regional support RSi for a particular higher education institution is assigned to each HEI in the region.

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