Interaction of the Government and Business in Solving Environmental
and Socio-Economic Problems of Russian Regions
OKSANA
MOMOTOVA
North Caucasus
Federal University
Stavropol
RUSSIA
GALINA
VORONTSOVA
North Caucasus
Federal University
Stavropol
RUSSIA
OLGA BORIS
North Caucasus
Federal University
Stavropol
RUSSIA
VALENTINA
PARAKHINA
North Caucasus
Federal University
Stavropol
RUSSIA
Abstract: - This article studies the possibilities of using existing and developing tools for interaction between
authorities and business structures to solve regional problems: economic, social, environmental, etc. Critical
discourse analysis of the authoritative researchers' opinions and content analysis of the scientific teams'
research results formed the basis of the logical and cogitative conclusions of the team of authors and made it
possible to form the authors' position regarding the possibilities of assessing the manifestation degree of the
partnership model of interaction between government and business structures through the development of its
tools. To do this, the team of authors had to revise the methodological approach to the formation of an integral
indicator that characterizes the interaction level between government and business from the standpoint of
updating its tools, implementing the tripartite interaction aspect considering the growing role of society.
Additionally, to introduce an environmental interaction component in the format of a national environmental
rating. The quality of interaction between government and business in the partner model, in authors’ opinion,
could be characterized through the development level of relevant interaction tools. Based on the identification
of modern trends in the interaction between government and business, the authors substantiate the expediency
of adjusting the methodological approach to assessing the level of interaction between government and
business: emergence and growth of the role of the third party of interaction society; strengthening the effect
of interaction through the complex use of tools; considering environmental factors as an integral part in
achieving the most important goal of interaction between government and business improving the life quality
of the population of the country (region). The importance of the research is due to the increment of scientific
knowledge in the field of developing a methodology for determining a quantitative indicator that characterizes
the level of interaction between government and business achieved in the research area, the integrative nature
of the modified index, which allows accumulation of the identified development trends of all actors. As well as
the declaration of the approach to calculating the index of interaction between government and business as a
geometric mean, which allows to update a set of significant interaction tools constantly depending on the real
situation with interaction in the country and regions.
Key-Words: government, business; interaction tools; interaction assessment; environmental rating; region.
Received: August 12, 2021. Revised: March 13, 2022. Accepted: April 15, 2022. Published: May 6, 2022.
1 Introduction
The interaction between government and business
covers all new areas and areas, while developing
the tools used for its monitoring and evaluation.
The problem of monitoring and evaluation becomes
relevant given that the evaluation should be
comprehensive and integrated. Increased
importance given to certain aspects of interaction
depends on what specific criteria are reflected in
the integral indices, which also defines which areas
of interaction will develop rapidly, since the
assessment always performs control and regulatory
functions.
Previous studies by the team of authors
demonstrate that the partnership model is the main
interaction model between government and
business in modern practice. In the course of the
study, the team of authors identified forms (tools)
of interaction between government and business
structures, which are the most common and
successfully functioning at the regional level; such
forms include: public procurement, public-private
partnership (PPP), initiative budgeting (IB),
implementation of government programs,
regulatory impact assessment (RIA), support for
non-profit organizations (NPO), and corporate
social responsibility of business (CSR). It should be
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DOI: 10.37394/23207.2022.19.97
Oksana Momotova,
Galina Vorontsova, Olga Boris,
Valentina Parakhina
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noted that CSR has an implicit interaction nature
between government and business to a greater
extent. Implicit forms (tools) can also include
lobbying, activities of professional associations
(mediators, intermediaries, etc.), unions of
enterprises (for example, advisory bodies under
government bodies) [1].
A set of tools is being developed; its main
function is related to the involvement of the
population in the interaction between government
and business as a third party and an active
participant: joint setting of development priorities,
selection of projects for financing, projects' co-
financing, participation at the stage of its
implementation as an executor, project monitoring.
Of particular relevance is the interaction between
government and business in environmental matters,
which led to the need to take this aspect of
interaction into account when forming the integral
index.
The main problem of the research is the need to
develop and improve the partnership quality
between government and business to solve
environmental and socio-economic problems of
Russian regions. According to the authors, the
problem can be solved by recognizing the
importance of tracking the dynamics and constantly
updating the composition of the interaction tools.
Methodological substantiation of this problem is
seen by the authors in the use of a modified integral
index. Today, for example, the interaction subject
questionnaire method in terms of its quality is
widely used, which, in our opinion, is not of a
systemic nature. The project approach to assessing
the interaction between government and business is
also interesting, which involves the calculation of
indicators of budgetary, commercial, and economic
or social efficiency. Nevertheless, the methodology
on which this approach is based, as a rule, involves
the assessment of a specific project of interaction
between government and business within its life
cycle. As an alternative to using an integral index,
it is possible to consider construction of a factorial
model of interaction. But, according to the team of
authors, this tool is more complex than expert
assessments and extrapolation of trends, which
have been used in the process of work with the
integral index. Probably, the use of factor analysis
will be the next step in the study of the stated topic.
1.1 Literature Review / StateofArts / Research
Background
Many studies by Russian, European, American
scientists are devoted to the problematic
development aspects of effective forms, models,
and tools for interaction between authorities and
business structures. A great contribution to the
development of this problem was made by the
works of such scientists as: Varshavsky A.E. [26],
GlazyevS.Yu. [14], Ivanter V.V. [12], Castells M.
[8], Lvov D.S. [11], Makarov V.L. [16] and others.
There are many publications that analyze
Russian regional interaction practices between
government and business [7], [10], [20], etc.
Methodological approaches to the issues of
assessing the interaction between government and
business structures were considered in the works of
many domestic researchers [3], [13], [15], [21], [9]
and others.
However, interest in assessing the interaction
level between government and business is not
weakening and is becoming especially relevant
with developing approaches to interaction, the
expansion of the number of interaction subjects and
the revision and updating of interaction tools.
2 Methodology
Based on a preliminary critical discourse analysis
of the opinions of authoritative researchers, the
article justifies expediency of assessing the
interaction level between government and business
based on the breadth of representation and the
formation level of its individual forms (tools). The
team of authors analyzed the statistical reviews
prepared by the Federal State Statistics Service, the
Ministry of Economic Development of the Russian
Federation and the Stavropol Krai and the empirical
data presented in the official reviews of research
agencies in dynamics for the period 2017-2020, as
well as the opinions of authoritative researchers
obtained from the results of content analysis. Using
a logical-thinking analysis and based on previous
studies, the team of authors found that a partnership
model of interaction between government and
business structures is inherent for all regions of the
Russian Federation, the differences are due to the
degree of its development. Based on a comparative
analysis of the manifestation level of significant
interaction tools between government and business
structures in the selected regions, the authors drew
conclusions regarding the development degree of
the partnership model in the subjects under study. It
has been established that the Stavropol Krai is
characterized by a low level of partnership model
development. Nevertheless, all the main forms
(tools) of partnership interaction are presented in
the subject under study, a number of which is
developed as an initiator or a pilot region. The use
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of the didactic multidimensional tools technology,
particularly the formation of a logical-semantic
model, allowed the authors to develop a
methodological approach when constructing an
integral criterion for assessing the interaction
between government, business, and the population
within the framework of a diagnosable partnership
model and to present the predictive value of the
integral criterion for the subject under study based
on the correlation-regression analysis and the
method of extrapolation of trends. Thus, noting the
interaction between government and business as a
developing phenomenon, the team of authors
diagnosed the emergence of new tools for
interaction and the strengthening of its qualitative
characteristics, as well as the transition to a
tripartite nature of interaction with an increase in
the society's role. Along with an increase in the
representation of the environmental component in
the tools for interaction between subjects at the
regional level, all this led to the expediency of
revising the methodology for constructing an
integral criterion, including the use of a national
environmental rating.
In particular, the researchers, using the
correlation and regression analysis methodology,
determined that the exponent acts as an
approximating function for each of the components
in the integral criterion. Using an exponential
approximation to extrapolate the identified trends,
the authors obtained the projected values of
individual indices as part of the integral criterion,
and then calculated the projected value of the
integral criterion using the geometric mean.
The team of authors used the method of critical
analysis of various ratings related to the research
problem as one of the main research methods:
analysis and evaluation of the interaction between
government and business within the partnership
model. According to the authors, the geometrical
mean used in the methodology for calculating the
integral indicator involves the integration of
various interaction forms between government,
business, and the population to derive a single
comprehensive assessment and give weight to the
development and diversification of relevant
instruments. It should be noted that the authors
consider the main purpose of forming ratings as to
give importance to the problem and individual
factors that reduce or increase its severity, monitor
the state of the problem, and form a response in the
form of a regulatory impact. That is why the
authors proposed to introduce the assessment of the
interaction between government, business
structures, and society into the integral indicator as
a component of the national environmental rating.
3 Case studies/ experiments/
demonstrations/ application
functionality
The team of authors have determined the Stavropol
Krai as the study object on the possibility of using a
partnership model to solve regional problems of the
constituent entities of the Russian Federation:
economic, social, environmental; in 2020, the Krai
ranked 30th in the rating of Russian regions in
terms of investment climate (rating of "RAEX-
Analytics" LLC (RAEX)), which belongs to group
3B1 (reduced potential-moderate risk). 4 leaders in
this classification (A1), 3 outsiders (3D), 3 regions
occupying the middle of the rating (2B), as well as
regions that are on the same level with the
Stavropol Krai in terms of investment potential
(3B1) were selected to identify the prevailing
trends in the issue under study.
To get an idea of the development degree of the
partnership model, these regions can be compared
in terms of investment climate level and socio-
economic situation, adding one of the main types of
interaction between government and business to the
analysis, which is PPP (Figure 1). It is also
advisable to reflect the interaction of government
and business structures in solving environmental
problems that are relevant for Russian regions. This
diagram will allow to assess the extent to which the
partnership between government and business
influences the development of the region and its
well-being.
The investment climate, the level of socio-
economic development, the state of ecology and
environmental protection presented in the diagram
are the result of joint activities of the authorities,
business, and society to resolve environmental and
socio-economic problems of Russian regions. One
of the most effective tools for interaction between
government and business, and, accordingly, for
resolving the identified problems, is PPP, so the
authors of the study reasonably assumed the
presence of a correlation between the indicators
characterizing these factors.
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Fig. 1: Rating of regions by investment climate, socio-economic status, ecological state and environmental
protection, the level of PPP development in certain regions of the Russian Federation in 2020.
Source: Compiled by the authors based on the materials [2], [22]  [23]
The graph shows that the rating of PPP
development in the regions correlates with
indicators of the investment climate and socio-
economic situation. That is, the improvement of the
socio-economic situation directly affects the
activation of the investment climate in the region.
There is also an inverse relation: attraction of
additional investments from individuals, active
implementation of various federal and regional
programs, tenders and other instruments of socio-
economic development contribute to the region's
activation in various areas, making it prosperous
and attractive for the population and entrepreneurs
and thus more interesting for new investments.
The most common and successfully functioning
forms (tools) of interaction between economic
entities in the Stavropol Krai will be considered
within the framework of this study, such as public
procurement, PPP, IB, government programs
implementation, support for NPO, RIA, and CSR.
The dynamics of environmental rating indices will
be analyzed as well.
In general, it is worth noting that there is a
positive trend in the state programs financing every
year. Thus, participation in national projects is also
becoming more attractive for private businesses.
For clarity, let us consider the rating distribution
of the regions of the Russian Federation by the PPP
efficiency level in recent years (Table 1).
Table 1. PPP efficiency rating of the regions of the Russian Federation for 2017-2020.
Region of the
Russian
Federation
Year
Absolute deviation
2018
2019
2020
2018/2017
2019/2018
2020/2019
Rostov region
67.4
40.5
6.7
+17
-26.9
Krasnodar Krai
39.8
35.18
8.9
+2.8
-4.62
Stavropol Krai
45.4
37.4
5.5
-2.6
-8
Saratov region
45.8
44.7
9.2
9.4
-1.1
Note - in 2020, there was a change in the methodology for rating calculation; the rating for 2019
was calculated using the transition methodology
Source: Compiled by the authors based on the materials [25]
Analyzing the data in the table, it can be
concluded that the leader in terms of the PPP development level in 2019 was the Saratov region
followed by the Rostov region. The least effectively
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developed PPP is in the Krasnodar Krai. As it can be
seen, the PPP efficiency has significantly decreased
in 2019, which is due to the imperfection of the
regulatory framework, the weak competence of state
bodies, as well as private business on PPP issues,
inequality of the parties, political instability, etc.
Interestingly, 2020 showed a significant positive
trend in the Krasnodar Krai. This is partly due to a
change in the methodology for calculating the rating,
which began to consider the dynamics of PPP
projects' implementation. At the same time, priority
in calculating this factor is given to the regions
implementing long-term projects under concession
agreements and agreements on PPP, MPP with the
largest volume of contracted investments.
The next important form of interaction between
government and business is IB. In the authors'
opinion, the methodology of the Scientific and
Research Financial Institute of the Ministry of
Finance of Russia [18] is suitable as a basis for
assessing the IB level in the Stavropol Krai. The
rating of the subjects of the Russian Federation in
terms of the level of budget data openness for 2018-
2020 will be taken as an indicator for analysis; it is
shown in Figure 2. Let us consider the position of
the Stavropol Krai in relation to the nearest regions,
such as: the Saratov region, the Krasnodar Krai, and
the Rostov region.
Fig. 2: Rating of regions of the Russian Federation by the development level of initiative budgeting in 2018-
2020.
Source: Compiled by the authors based on the materials [18].
Thus, it can be concluded that the Stavropol Krai
maintains its position in the field of IB falling into
group A every year: a very high level of budget data
openness (80% or more of the maximum possible
number of points). In the overall ranking of Russian
regions, Stavropol Krai ranked 12th in 2018, 12th in
2019, and dropped to 20th in 2020.
Analyzing the rating's dynamics, it can be said
that in 2020 there was a decline in the IB index in
each region under consideration associated with the
epidemiological situation in the country, which
affected the freezing of many interaction forms
between government, business, and the population
[6].
In order to assess the state of public procurement
in the Stavropol Krai, let us analyze the position of
the region in the ranking in relation to neighboring
regions (Figure 3).
47,16
95,74 85,99 92,2
66,42
98,51 86,57 96,94
73,7
95,7
80,6 92,8
0
20
40
60
80
100
120
Rostov region Krasnodar Krai Stavropol Krai Saratov region
2018 2019 2020
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Fig. 3: Competitiveness rating of public procurement of regions of the Russian Federation for 2018-2020
Source: Compiled by the authors based on the materials [24]
Thus, it can be concluded that the efficiency of
public procurement in the Stavropol Krai is
significantly lower than in the analyzed regions.
However, it should be noted that in 2020, the
region experienced the largest peak in this indicator
(+13.9%), which is associated with the
implementation of orders most significant for the
region.
Additionally, such an interaction form between
government and business as CSR is being
implemented in the Stavropol Krai. Socially
significant events in the region involve both large
corporations that seek to increase the loyalty of
their consumers and non-profit organizations that
participate in social projects exclusively on a
volunteer basis.
To analyze the NPO support level in the
Stavropol Krai, let us turn to the rating of the
subjects of the Russian Federation based on the
implementation results of mechanisms to support
socially oriented non-profit organizations and
social entrepreneurship (Figure 4).
Fig. 4: Indicator of the NPO support level in the regions of the Russian Federation for 2017-2020
Note - Compiled by the authors based on the materials [17].
As it can be seen, the Krasnodar Krai occupies a
leading position in terms of this indicator and is
rapidly developing. It should be noted that in 2017,
The Krasnodar Krai was included in one of the
weakest groups “Regions taking the first steps
towards success”; in 2018 it entered the category
80,1 77,6
54,6
81,2
74,1
82,5
46,7
72
75,9 77,5
60,6 61,8
0
10
20
30
40
50
60
70
80
90
Rostov region Krasnodar Krai Stavropol Krai Saratov region
2018 2019 2020
16,66 15,33
18,57
10,24
30,07
20,88
17,19
10,68
23,3
30,42
12,32
9,13
33
41,83
17,97
10,19
0
5
10
15
20
25
30
35
40
45
Rostov region Krasnodar Krai Stavropol Krai Saratov region
2017 2018 2019 2020
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“Regions with an average level”, and in 2019 it
already became the “Leading Region”. Along with
the Stavropol Krai, the rest of the regions under
consideration occupy weaker positions in this
rating. So, in 2017 the Stavropol Krai belonged to
the "Regions with an average level" and in 2018-
2020 it went down to "Regions taking the first steps
towards success", having lost 6.25 points in 2
years. In 2020, The Stavropol Krai has not yet
returned to the indicator's level of 2017. However,
it can be noted that the NPO support level in the
regions under study has a positive trend in 2020.
Next, the regulatory impact assessment (RIA)
on the territory of the Stavropol Krai will be
analyzed. RIA is considered the core of regulatory
policy [5].
Since 2013, The Stavropol Krai has become one
of the pilot regions that have introduced the RIA
procedure. The RIA procedure model used in the
region involves holding public consultations both
by the developers of draft acts and by the
authorized body, which ensures publicity and
transparency of this procedure. Undoubtedly, this is
one of the interaction forms between government
and business structures.
Let's consider the rating position of RIA in the
region in relation to neighboring regions (Table 2).
Table 2. Rating of Russian regions in terms of the
quality of the regulatory impact assessment in the
constituent entities of the Russian Federation for
2018-2020
Region of the
Russian
Federation
Year
2018
2019
2020
Rostov region
good
average
average
Krasnodar Krai
highest
highest
highest
Stavropol Krai
highest
good
good
Saratov region
good
good
average
Source: Compiled by the authors based on the
materials [5].
According to the Methodology of the Ministry
of Economic Development of Russia, regions could
fall into one of 4 groups: from 80 to 100 points -
"Highest level"; from 60 to 79 points - "Good
level"; from 40 to 59 points - "Satisfactory level";
from 0 to 39 points - "Unsatisfactory level" [5].
As it can be seen, for the past 2 years the
Stavropol Krai has been among the regions with a
good level of RIA receiving from 60 to 79 points
and overtaking such regions as Rostov and Saratov
regions.
Since the relevance of the environmental agenda
is growing every year and all ongoing investment
projects and public initiatives necessarily include
an environmental component, it seems appropriate
to track the dynamics of the environmental state
and interaction between government and business
structures in environmental protection issues in the
regions under study (Figure 5).
Fig. 5: Average indicator of the national environmental rating in the regions of the Russian Federation for
2018-2020
Note - Compiled by the authors based on the materials [2].
55 56,25 52 48,5
57,25 59,75 55,25 51,75
60,75 62 58,5 55,5
0
10
20
30
40
50
60
70
Rostov region Krasnodar Krai Stavropol Krai Saratov region
2018 2019 2020
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Histograms indicate the positive dynamics of
the environmental component in the studied
regions. As in most indicators of interaction
between government and business, the Krasnodar
Krai is in the first place. The Stavropol Krai is in
the third place. The highest growth dynamics is
demonstrated by the Saratov region (by 14.4% over
three years) and the Stavropol Krai (by 12.5% over
three years).
Thus, it was revealed that the main interaction
types between business and government in the
Stavropol Krai are the following: government
programs implementation, PPP, IB, public
procurement, business CSR, RIA and NPO support.
All interaction directions necessarily imply an
environmental component, which is reflected in the
indicators of the national environmental rating
indices. Almost every identified form of interaction
between government and business in the region is
developing quite successfully.
Let us determine and compare the interaction
level between government and business in the
regions of the Russian Federation by summing up
the places occupied by the regions for each of the
interaction forms for 2020 (Table 3). The regions
considered in this study will be taken as a basis.
Table 3. Comparative assessment of the interaction level between government and business in the regions of
the Russian Federation based on the summation of places for each type of interaction for 2020
Region
Form of interaction between government and business
PPP
State procurements
IB
RIA
NPO support
Environmental
rating
Total
Rostov region
3
2
4
3
2
2
16
Krasnodar Krai
2
1
1
1
1
1
7
Stavropol Krai
4
4
3
2
3
3
19
Saratov region
1
3
2
3
4
4
17
Among the regions under consideration, the
Krasnodar Krai has the highest score of interaction
between government and business; it is followed by
Rostov and Saratov regions, the last place is
occupied by the Stavropol Krai. The earlier
analysis of all interaction types between subjects in
the regions allows to speak of a fairly high level of
the partnership model development. However, the
partnership model is only at the initial development
level in the Stavropol Krai.
It is worth noting that this table allows to
highlight interaction tools that require increased
attention in terms of its further priority
development.
For the purpose of a comprehensive analysis of
the interaction mechanism between government
and business, let us turn to the existing
methodology for calculating the integral interaction
indicator between government and business by
D.V. Zubaidullina and identify the main problems
that each subject of the considered interaction faces
when implementing the partnership model [27].
Many authors note the absence of common
indicator in regional management operational
practice, which could characterize the total level of
interaction of regional subjects, and propose their
methodological approaches and specific methods
for its determination [3,4]; Anichin, V.L.,
Zhelyabovskiy, A.Yu., Angelina I.A., Roslavtseva
E.A., et al.). To generalize the effectiveness of
using one of the main interaction tools such as PPP,
public procurement and IB in the Stavropol Krai, it
is possible to use the integral indicator proposed by
the author D.V. Zubaidullina, which reflects an
assessment of the interaction between government,
business, and the population [27].
The integral indicator under consideration
implies the efficiency coefficient of interaction
between subjects in the region (Intc.sub.) using the
geometric mean value according to the formula
[27].
Intc. sub. = P × G × I
3, Eq. (1)
where P is the level of PPP efficiency in the
region;
G - efficiency level of public procurement in the
region;
I - efficiency level of initiative budgeting in the
region.
The overall interaction indicator between
subjects in the Stavropol Krai in comparison with
the nearest regions based on the results of 2018-
2020 is calculated based on this formula. To do
this, the data on the efficiency levels of PPP, public
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procurement and IB by region is presented in Table
4.
Table 4. The indicator of interaction between subjects in the regions of the Russian Federation at the end of
2018-2020.
Region of the Russian Federation
Intc.sub.
P
G
I
2018
Rostov region
63.4
67.4
80.1
47.16
Krasnodar Krai
66.6
39.8
77.6
95.74
Stavropol Krai
59.7
45.4
54.6
85.99
Saratov region
70.0
45.8
81.2
92.2
2019
Rostov region
58.4
40.5
74.1
66.42
Krasnodar Krai
65.9
35.18
82.5
98.51
Stavropol Krai
53.3
37.4
46.7
86.57
Saratov region
67.8
44.7
72.0
96.94
2020
Rostov region
33.5
6.7
75.9
73.7
Krasnodar Krai
40.4
8.9
77.5
95.7
Stavropol Krai
29.9
5.5
60.6
80.6
Saratov region
37.5
9.2
61.8
92.8
Note - in 2020, there was a change in the methodology for rating calculation by the level of PPP
efficiency in the region; the rating for 2019 was calculated using the transition methodology
Source: Compiled by the authors based on the materials [27, 19]
It should be noted that the data on the regions'
rating by the development level of the PPP sector in
2020 are presented by the Ministry of Economic
Development of the Russian Federation according
to a new methodology approved by the Order of the
Ministry dated December 19, 2019 No. 816.
According to the new methodology, priority is
given to the factor “Dynamics of PPP projects'
implementation in the subject of the Russian
Federation for the reporting year” since this factor
characterizes the results of attracting investors and
implementing PPP projects in the region in the
reporting year. As a result, data for 2020 becomes
incomparable with previous periods and cannot be
used to identify trends. However, it can be noted
that the leader of interaction has changed in the
four regions under study. It is the Krasnodar Krai.
The Stavropol Krai still ranks last among the
regions under consideration.
Let us analyze the calculation results and
present them in the form of regions' rating
according to the integral indicator of interaction
between government, business, and the population,
having determined the absolute deviation of the
indicator in question in recent years (Table 5).
Table 5. Rating of regions of the Russian Federation according to the integral interaction indicator between
government, business, and the population in 2017-2020.
Region of the Russian
Federation
Intc.sub.
Absolute deviation
2017
2018
2019
2020
2018/2017
2019/2018
2020/2019
Saratov region
52.8
70.0
67.8
37.5
17.2
-2.2
Krasnodar Krai
45.6
66.6
65.9
40.4
21.0
-0.7
Rostov region
41.1
63.3
58.4
33.5
22.2
-4.9
Stavropol Krai
48.2
59.7
53.3
29.9
11.5
-6.4
Note - in 2020, there was a change in the methodology for rating calculation by the level of PPP
efficiency in the region; the rating for 2019 was calculated using the transition methodology
Source: Compiled by the authors based on the materials [27, 19]
For clarity, the resulting rating is reflected in the
form of Figure 6 analyzing the changes in the integral interaction indicator of subjects in the
region for the period of 2017-2020.
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Fig. 6: Rating of regions of the Russian Federation according to the integral interaction indicator between
government and business for 2017-2020
Source: Compiled by the authors based on the materials [27, 19]
From year to year, the leading position was
occupied by the Saratov region followed by the
Krasnodar Krai and by the Rostov region among
the analyzed regions of the Russian Federation. The
Krasnodar Krai gradually reduced the lag from the
leader and took a leading position in 2020, which
was mainly due to the development of such
interaction components as the efficiency level of
public procurement in the region and the level of IB
efficiency in the region. As it can be seen, the
Stavropol Krai was in a strong position in 2017 but
is currently lagging due to certain constraints.
According to the classification proposed by
D.V. Zubaidullina, the Stavropol Krai together with
the neighboring regions under consideration
belonged to the 2nd category in 2017 in terms of
the interaction level between government and
business (Intc.sub. value from 43% to 54%, from
20th to 41st place) [27]. It should be noted that
already starting from 2018, the situation has
changed for all compared regions except for the
Stavropol Krai. They moved to interaction group 1
with the Intc.sub. value from 55% and above -
regions with a developed interaction mechanism
between subjects. The Stavropol Krai remains in
the 2nd category.
In the authors' opinion, a deeper understanding
of the interaction between government and business
requires the introduction of one more subject into
the partnership model - the population - and
consider the interaction as tripartite. All three
subjects are closely interconnected, and their
mutual motivational attitudes set effective
directions for cooperation.
The general integral indicator of interaction
between government, business, and the population
discussed above has accumulated effectiveness
rating indicators of PPP, public procurement and IB
in the region. Considering that other forms (tools)
of interaction between authorities, business, and the
population such as state programs implementation,
support for NPO, business CSR, RIA are also
developed in many regions of the Russian
Federation, the problem of expanding the
interaction tools that have found application in the
calculation of the integral indicator becomes
relevant. In general, the approach from the
standpoint of regular tools' updating considering
the realities of interaction between government and
business structures can be considered appropriate.
The national environmental rating of regions
reflects interaction aspects between government
and society, government, and business in
environmental matters and, as a result, the general
state of the environment. Since in recent years an
approach has been actively developed in terms of
the social and environmental responsibility of
business and the inclusion of an environmental
component in the social reporting of an enterprise,
it becomes expedient to include the regions'
national environmental rating in a comprehensive
assessment of the interaction between government,
business, and society as a correction factor. The
environmental rating reflects the topical aspects of
trilateral cooperation, which have an increasingly
strong impact on the investment attractiveness of
both regions and individual investment projects.
The inclusion of this correction factor will
contribute to the growth of environmental issues'
importance for their solution in a tripartite manner
through the organization of interaction between
government, business structures and society using
the entire set of tools.
52,8
45,6 41,1
48,2
70 66,6 63,3 59,7
67,8 68,9
58,4 53,3
37,5 40,4
33,5 29,9
0
10
20
30
40
50
60
70
80
Saratov region Krasnodar Krai Rostov region Stavropol Krai
2017 2018 2019 2020
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Thus, the new calculation of the integral
indicator can be expressed as the formula
Intc. sub. = 𝑃 × 𝐺 × 𝐼 × 𝐷 × 𝑅 × 𝑁 × 𝐸
7, Eq. (2)
where P - the level of PPP efficiency in the region;
G - the level of public procurement efficiency in
the region;
I - the level of initiative budgeting efficiency in the
region;
D - the level of government programs' efficiency in
the region;
R - the quality level of the regulatory impact
assessment in the region;
N - the level of support for non-profit organizations
in the region;
E - a correction factor reflecting the level of the
environmental component in the region.
It should be noted that there is no rating for
evaluating the effectiveness of state programs'
implementation in the regions of the Russian
Federation (D) yet; currently, the RIA quality level
indicator (R) does not have a specific quantitative
expression, so it is not advisable to include these
indicators for calculation within the framework of
this study.
The exponential approximation applied for each
form (tool) of interaction separately will allow to
obtain a predictive integral indicator of interaction
between government and business in the region for
2021 (Table 6).
Table 6. Forecast indicator of interaction between subjects in the regions of the Russian Federation in 2021.
Region of the Russian
Federation
Intc.sub.
P
G
I
N
E
Rostov region
59.04
41.48
72.64
95.87
39.03
63.64
Krasnodar Krai
63.62
35.44
79.06
96.61
58.92
65.35
Stavropol Krai
42.86
33.78
59.56
79.06
14.64
62.08
Saratov region
43.24
51.68
54.21
94.57
9.62
59.32
Source: Compiled by the authors based on the materials [27; 17; 19; 20]
It should be noted that the data obtained are only
indicative and predictive, and therefore may differ
from reality. The obtained indicators (Intc.sub.) are
calculated considering the average annual growth
of each of the criteria, that is, in the natural
environment without any intervention. A
comparative analysis of all tools allows to draw
conclusions about the development degree of each
tool and its impact on the overall situation of
interaction.
A comparison of the integral interaction indicators
calculated using the old and improved
methodologies is presented in Table 7.
Table 7. Comparative analysis of integral interaction indicators between subjects in the regions of the Russian
Federation in 2019, 2021
Region of the Russian
Federation
Intc.sub.
2019
old methodology
Intc.sub.
2019
new methodology
Intc.sub.
2021
new methodology
growth rate,
2021/2019
Rostov region
58.4
48.41
59.04
22.0
Krasnodar Krai
65.9
55.35
63.62
14.9
Stavropol Krai
53.3
40.04
42.86
7.0
Saratov region
67.8
43.02
43.24
0.5
Note - in 2020, there was a change in the methodology for calculating the PPP rating, given that 2021
was predicted based on empirical data obtained using the old methodology, it is advisable to compare
2021 with 2019.
The presented analysis demonstrates that the
values of integral indicators fell sharply when the
level of NPO support quality in the regions was
included in the calculation, which is associated
with weak development of the area under
consideration. The use of a correction factor that
considers the environmental component of the
interaction between government, business, and the
population did not make significant adjustments to
the change in the integral indicator but fixed the
change in the interaction leaders among the studied
regions. This once again indicates the importance
of the correction factor. The assessment obtained
using the new formula will be more comprehensive
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as it includes an expanded understanding of the
interaction between government, business, and the
population. It must not be forgotten that the
application of the proposed recommendations will
improve the efficiency of each interaction form
between government and business, and, as a result,
the overall Intc.sub.
4 Conclusion
The team of authors obtained new scientific results
in the process of work, which are reflected in the
following.
Firstly, the characteristics of the existing
interaction models between regional authorities and
business helped to reveal that the partner model is
in the development stage on the territory of the
region under study. The main forms (tools) of
interaction between government and business are
the following: PPP, IB, implementation of
government programs, public procurement, support
for NPO, RIA and business CSR. Each given form
(tool) has a different development level; for
example, IB is very well developed in the region,
while NPO support is at a rather low level. All
interaction directions necessarily imply an
environmental component, which is reflected in the
indicators of the national environmental rating
indices.
Secondly, economic, social, environmental
problems were identified and the effectiveness of
interaction between authorities and business
structures in the Stavropol Krai was assessed using
the general integral interaction indicator of subjects
in the region proposed by the author D.V.
Zubaidullina [27]. Thus, the Stavropol Krai has
integral indicators typical for regions with an
average level of interaction development between
subjects, which is a good result. The main negative
side of subjects' interaction in the region includes
possible risks for all sides of joint activities, which
may adversely affect the effectiveness of this
cooperation.
Thirdly, recommendations were developed
during the study on the formation of a partnership
interaction model between regional authorities and
business in the Stavropol Krai. The main
developments include consideration of subjects'
interaction in the region in the form of a tripartite
interaction (state, business, population).
It is advisable to indicate the following as the
main directions for interaction development
between subjects in the region: creation of
favorable conditions for cooperation in the region,
development of existing and introduction of new
forms of interaction between subjects, constant
monitoring, and evaluation of interaction results
between government and business in its individual
forms and tools.
Fourthly, the authors note that the forms (tools)
of interaction are developing and improving, new
tools appear that are associated with a change in the
interaction quality and an expansion in the number
of subjects of interaction (introduction of the
population as the third subject of interaction to the
model). Accordingly, approaches to assessing the
level of interaction and the development degree of
the partnership model in the region should also be
developed. It is expedient to calculate the general
integral indicator of the subjects' interaction in the
region as the geometric mean of this interaction
considering all the main existing forms (tools) of
interaction. This will contribute to the further
improvement and monitoring of all the main forms
(instruments) of interaction between subjects in the
region to strengthen and develop the partnership
model of interaction.
The severity of environmental and socio-
economic problems will decrease in the process of
improving the quality of partnership between
government and business. This will become
possible as the partnership model develops, which
will be fully facilitated by regular monitoring of the
integral interaction indicator dynamics proposed by
the team of authors.
Acknowledgements:
The study was carried out with the financial
support of the Russian Foundation for Basic
Research within the framework of the RFBR
research project "Development of a concept for the
formation of effective interaction models between
authorities and business structures at the regional
level as part of the digital integration of the
Republic of Belarus and the Russian Federation",
project No. 20-510-00025
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Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
The study was carried out with the financial
support of the Russian Foundation for Basic
Research within the framework of the RFBR
research project "Development of a concept for the
formation of effective interaction models between
authorities and business structures at the regional
level as part of the digital integration of the
Republic of Belarus and the Russian Federation",
project No. 20-510-00025.
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