Совершенствование системы оценки инвестиционной привлекательности регионов
Автор: О. К. Акрамова
Журнал: Informatics. Economics. Management - Информатика. Экономика. Управление.
Рубрика: Экономика и финансы
Статья в выпуске: 3 (2), 2024 года.
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В статье рассматриваются некоторые зарубежные и отечественные методы оценки инвестиционной привлекательности регионов, и на их основе автором предложена система оценки инвестиционной привлекательности регионов. В этой системе оценки отображены формулы для расчета показателей инвестиционного потенциала и инвестиционного риска, и по результатам можно оценить регион.
Инвестиционная привлекательность, методы оценки инвестиционной привлекательности, система оценки, инвестиционный потенциал, инвестиционный риск
Короткий адрес: https://sciup.org/14129608
IDR: 14129608 | DOI: 10.47813/2782-5280-2024-3-2-0115-0125
Текст статьи Совершенствование системы оценки инвестиционной привлекательности регионов
DOI:
Assessing the investment attractiveness of regions is important for every investor. Therefore, the issues of assessing the investment attractiveness of the region are still attracting the attention of national and foreign researchers. There are different approaches to this problem, and eventually the evaluation indicators and methods are different from each other. The constantly changing external world requires the improvement of existing approaches and methods for assessing the investment environment of any region, relying on new factors. Scientists have been talking for a long time about the need to systematize the existing methods of assessing the investment attractiveness of the region [1-4].
MATERIALS AND METHODS
Taking this into account, the methods of assessing the investment attractiveness of sectors and regions studied by foreign and local scientists have been researched in our work. Below we give some examples of them [5].
Among the various methods of assessing the investment attractiveness of regions in the Russian Federation, the following are distinguished:
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• "Expert RA" methodology;
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• Methodology of the Council for Studying Production Forces of the Ministry of Economic Development of the Russian Federation;
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• strategic initiatives agency methodology;
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• national rating agency methodology.
The most common rating of investment attractiveness of regions is compiled by an expert rating agency. The investment attractiveness of the regions is analyzed by the Expert RA through indicators of investment potential and investment risk. The rating is calculated on the basis of about 40 indicators combined into an integrated indicator of investment potential (including 9 private potentials: production, infrastructure, innovative, consumer, natural resources, labor, institutional, financial, tourism) and an integrated indicator of investment risk (includes 6 groups of indicators: economic, criminal, social, environmental, financial and management risks) [6-7].
In the monograph "Theoretical, methodological and practical interpretation of investment attractiveness" by Sh.I. Mustafakulov, indicators of investment potential and investment risk are analyzed. Based on these indicators, a methodology for calculating the comprehensive

investment attractiveness of the country has been developed. 44 private indicators are taken into account in the methodology [1].
RESULTS AND DISCUSSION
In our opinion, the above-mentioned evaluation methods have a causal relationship, because on the one hand, investment risks affect the potential of the area, which determines its attractiveness, which in turn depends on investment activity. On the other hand, it regulates the level of investment potential and investment risk, which also affects the increase in the attractiveness of investments.
As a result of the research, the shortcomings of the methods of assessing the investment attractiveness of the regions were revealed, and most importantly, none of them fully consider the specific characteristics of the regions. Many methods are subjective in nature, which are related to the use of expert judgments.
Having studied the existing methods of assessing the investment attractiveness of regions, we offer a system for evaluating the investment attractiveness of regions (Table 1). The table was developed by the author based on the literature analysis.
Table 1. System for evaluating the investment attractiveness of regions.
Type of competence |
Indicators |
Characteristics |
Calculation formula |
Investment potential of region |
|||
Natural geographic potential (IS 1 ) |
Area space percentage (IS 1.1 ) |
It shows the share of the area of the region in the area of the region |
IS 1J" M Mh -area space, Mv -area of the region |
The share of arable land (IS 1.2 ) |
It shows the share of agricultural land in the total land area |
IS- Mr M q/ X -agricultural arable land |
|
Population density (IS 1.3 ) |
Population per 1 sq.km., people |
It is given in the data of the Statistics Department of Bukhara Region |
|
Potential of labor resources (IS 2 ) |
The share of labor resources in the total population (IS 2.1 ) |
It shows the share of labor resources in the total population |
, MRS MS 2.1 = ^ S MRS– the number of labor resources A s -the population |
Type of competence |
Indicators |
Characteristics |
Calculation formula |
Share of the economically active population in the total population (IS 2.2 ) |
It shows the share of the economically active population in the total population |
IFA-economically active population A s –population number |
|
Share of employment in labor resources (IS 2.3 ). |
It shows the share of the number of employees in labor resources |
IS23 = — 2.3 MRS BS-jobs number, MRS– labor resources number |
|
Natural growth (IS 2.4 ) |
It shows the level of natural growth |
It is given in the data of the Statistics Department of Bukhara Region |
|
Infrastructure potential (IS 3 ) |
Share of apartments (houses) (IS 3.1 ) |
The area shows the share of apartments (houses) in the region |
IS3 1 = ~ . AV K h -number of of apartments (houses) in the region K v -number of of apartments (houses) in the region |
Housing area per person (IS 3.2 ) |
Housing area per inhabitant, sq.m) |
It is given in the data of the Statistics Department of Bukhara Region |
|
Share of the total area of the housing fund (IS 3.3 ) |
The share of the total area of the regional housing fund in the region |
is^ 3 =£ UJh — total area of the housing fund UJV — total area of regional housing fund |
|
Level of drinking water supply (IS 3.4 ) |
Provision of drinking water |
It was taken from the indicators of the regional passport. |
|
Level of gas supply (IS 3.5 ) |
Indicates the level of gas supply (through gas pipelines). |
It was taken from the indicators of the regional passport. |
|
The level of provision of hard roads (IS 3.4 ) |
Indicates the level of provision of hard roads |
is34 = ^Y.^Y 3.4 Л5 UY QY-cement concrete, asphalt-concrete, black-surfaced roads UY-the length of public highways |
Type of competence |
Indicators |
Characteristics |
Calculation formula |
Potential for investment activity (IS 4 ) |
total investment volume |
It shows the volume of total investments per 1000 inhabitants |
IS 4.1 = у *1000 IH- the total volume of investments |
Percentage of total investments |
It shows the share of regional investments in the region |
тс - IHh IS = 4.2 IH IH h - The volume of total investments in the region IH h - The volume of total investments of the province |
|
Volume of foreign investments and loans per 1000 inhabitants |
It shows the volume of foreign investments and loans per 1000 inhabitants |
IS43 = -*1000 . ^s XI- volume of foreign investment and loans A s - population number |
|
Share of foreign investments and loans |
It shows the share of foreign investments and loans in the region |
ТС - XI h IS = 4.4 XIV XI h - The volume of foreign investment and loans of the region XI h - The volume of regional foreign investment and loans |
|
Foreign economic activity potential (IS 5 ) |
export volume |
It shows the volume of exports per 1000 inhabitants |
IS5 1 = — *1000 . ^ s EH- export volume A s – population number |
Export share |
It shows the share of regional exports in the region |
TC - EH h IS 5.2 = eh; XI h - Export volume of the region XI h - Regional export volume |
|
import volume |
It shows the volume of imports per 1000 inhabitants |
IS 5.3 = IH * 1000 IH- import volume A s – population number |
|
Import share |
It shows the share of regional imports in the region |
TC - IH h IS = 5.4 IH ; XI h - import volume of territory XI h - Regional import volume |
Type of competence |
Indicators |
Characteristics |
Calculation formula |
Investment potential of networks |
|||
Industrial production output potential (IS 6 ) |
number of operating enterprises |
It shows the number of operating enterprises per 1,000 inhabitants |
IS 6.1 = У *1000 KS- number of operating enterprises A s –number of population |
Share of newly established enterprises |
It shows the share of newly established enterprises in the region |
IS6 2 = — 6.2 VK „ YK h - The number of newly established enterprises in the region YK h - the number of newly established enterprises in the province |
|
industrial production volume |
It shows the volume of industrial production per 1000 inhabitants |
IS 6.3 = SH * 1000 SH — industrial production volume A s –population number |
|
Share of industrial production volume |
It shows the share of industrial production volume in the region |
IS6 4 = — 6.4 S— SH h - The volume of industrial production of the region SH v - the volume of industrial production of the region |
|
volume of production of nonfood products |
It shows the volume of production of non-food products per 1000 inhabitants |
IS6 5 = — *1000 ^ No jv — volume of production of nonfood products As – population number |
|
Share of production of non-food products |
It shows the regional share of production of non-food products in the area |
_ No(vh IS 6.6 = No/Vv No /" ^ — volume of production of nonfood products in the region No /" ^ — production volume of non-food products throughout the region |
Type of competence |
Indicators |
Characteristics |
Calculation formula |
food production volume |
It shows the volume of food production per 1000 inhabitants |
IS 6 7 = ^* 1000 ^ s о/v — food production volume A s – population number |
|
Share of food production |
It shows the regional share of food production volume in the area |
_ o/v w IS 6.8 = o/v v о/у ^ — volume of production of food products in the region о /v ^ — the volume of production of food products throughout the region |
|
Capacity of the service sector (IS ) |
Volume of services |
It shows the volume of services per 1000 inhabitants |
IS 7.1 = ™*1000 SH — Area services volume A s – population number |
Volume of services |
The area shows the share of the volume of services in the region |
тс - xh ^ IS7.2 = XHT. SH h - Volume of regional services SH v - the volume of services of the province |
|
The potential of the agricultural sector (IS8) |
The volume of products (services) of agriculture, forestry and fisheries |
It shows the volume of products (services) of agriculture, forestry and fisheries per 1000 inhabitants. |
IS81 = — *1000 ^ s QXH — the volume of products (services) of agriculture, forestry and fisheries of territory A s –population number |
Share of products (services) of agriculture, forestry and fisheries |
It shows the share of agricultural, forestry and fishery products (services) in the region. |
_ QXHh IS8.2 QXH . SH h - Area volume of products (services) of agriculture, forestry and fisheries SH v - the volume of products (services) of agriculture, forestry and fisheries throughout region |
Type of competence |
Indicators |
Characteristics |
Calculation formula |
The potential of the tourism sector (IS9) |
Share of cultural heritage objects |
It shows the share of cultural heritage sites in the region |
ТС - M ° h IS91= ттб; SH h - Area services volume SH v - the volume of services of the region |
Share of cultural heritage objects visited by tourists |
It shows the share of areal cultural heritage objects visited by tourists in the region |
тс _ STh IS9. 2 = ST h - The number of areal cultural heritage objects visited by tourists ST v - The number of cultural heritage objects of the region visited by tourists |
|
Share of hotels and similar accommodation facilities (objects). |
It shows the share of areal hotels and similar accommodation facilities (objects) in the region |
тс - MS? IS72 = ^rv MS h - The number of hotels and similar means of accommodation (objects) in the area MS v - the number of hotels and similar means of accommodation (objects) in the region |
|
The share of organizations that have implemented tourist activities |
It shows the share of areal organizations that have implemented touristic activities in the region |
IS 72 = TT ? TT h - Number of organizations that have carried out tourist activities in the region TT v - the number of organizations that have carried out tourist activities in the province |
|
Innovation activity capacity (IS10) |
The share of organizations that have introduced innovations |
It shows the share of areal organizations that introduced innovations in the region |
XH ? IS 72 = 1^; SH h - the volume of areal services SH v - the volume of regional services |
Share of technological |
Hudud texnologik innovatsiyalar |
тс - XH ? IS7. 2= xh; SH h - the volume of areal services |

Type of competence |
Indicators |
Characteristics |
Calculation formula |
innovations (in unit). |
sonining viloyatdagi ulushini ko’rsatadi It shows the share of areal technological innovations in the region |
SH v - the volume of regional services |
|
Identifying investment risks |
|||
economic risks (IX1) |
Death rate per 1000 population |
It is calculated by dividing the total number of deaths in the reporting year by the average number of permanent residents in the reporting year and multiplying by 1000. |
IX 1.1 It is given in the data of the Statistics Department of Bukhara Region |
Unemployment rate |
It shows the percentage of the number of the unemployed in relation to the total number of the working-age population |
IX 1.2 It is given in the data of the Statistics Department of Bukhara Region |
|
Demographic load factor |
It reflects the number of disabled people per 1000 people of working age. |
РУ+0У+15У IX 1.3 = MRS PY — those of retirement age 0Y + 15Y — The number of people from 0 to 15 years old |
|
financial risks (IX2) |
Share of damaged enterprises |
The share of organizations that ended the year with a loss in the total number of organizations conducting business activities |
IX 2.1 = z^ ^um Tz —number of organizations that ended the year with a loss T ^rn - total number of organizations conducting business activities |
Share of liquidated enterprises |
Share of liquidated enterprises compared to operating enterprises |
IR2=^ ^ . fkkq TK- liquidated enterprises FKK- the number of operating enterprises |
|
criminal risks (IX ) |
crime rate |
Number of crimes per 10,000 people |
„ 7*10000 IR 3.1 = A s J-the number of crimes |
Type of competence |
Indicators |
Characteristics |
Calculation formula |
Ecological risks (IX4) |
The percentage of pollutants released into the atmosphere |
The area shows the share of pollutants released into the atmosphere in the region |
Achh 1X41=-^ ' Achv Ach ^ — Pollutants released into the atmosphere in the area Ach y —Pollutants released into the atmosphere in the region |
CONCLUSION
According to the system for evaluating the investment attractiveness of regions (Table 1), cities and districts are calculated according to 46 indicators. In order to have complete information about the investment attractiveness of the region, the investment potential and investment risk of its cities and districts are determined. Using the formulas given in the table, each indicator is calculated and the investment attractiveness of the area is assessed based on the results.