ASSESSMENT OF THE SOCIAL AND ECONOMIC EFFICIENCY OF THE TERRITORY

The purpose of the article is to assess the socio-economic potential of the Khabarovsk Territory using a taxonomic indicator. For the taxonomic analysis, indicators are selected - stimulants / de-stimulants; their value contributes to or, on the contrary, hinders the growth of the economic development of the territory. Stimulants should strive for a maximum in the reference object of research, and de-stimulators - to a minimum. In the process of taxonomic analysis, an object with the best values of particular research indicators is established, which is taken as a reference base for comparison. Based on the distance method, the distance deviation of individual territories from the reference object is established. When difficulties arise with the establishment of a reference subject with optimal values of all indicators, it is proposed to select the optimal comparison base for each indicator. This will somewhat complicate the assessment process, but will eliminate the problem of choosing a reference research object. The advantage of multivariate analysis is the ability to use indicators expressed in absolute value and relative units of measurement, as well as to take into account indicators adopted at the federal level and used to assess the performance of heads of executive bodies of state power. To include these indicators in taxonomic analysis, it is necessary to fulfill the condition of the variation coefficient exceeding 0.1. In conclusion, the analysis identifies parts of the Khabarovsk Territory, characterized by a high potential for socio-economic development, identifies reasons for the advanced development of these territories.


Introduction
In modern economic conditions and on the basis of the current regulatory and legislative framework regulating the national goals and directions of development of the Russian Federation for the next 10 years, regional executive authorities are developing a strategy for the development of territories and a mechanism for its implementation. The strategic development of a specific constituent entity of the Russian Federation is based on national goals, taking into account the territorial specifics of the region: preserving the life, health and well-being of the population; providing conditions for self-development and self-realization; creation of necessary and safe working and rest conditions; increasing the efficiency of labor and entrepreneurship; and implementation of the principles of digitalization of the economy (Decree of the President of the Russian Federation, 2020).
Proceeding from national goals and directions of development of administrative-territorial units, indicators for assessing the effectiveness of regional development have been established at the federal level. These indicators include: the number of skilled workers in various fields of activity; the number of employees in small and medium-sized enterprises; labor efficiency in industry; the size of the average monthly wage of employees; the volume of capital investments in construction (acquisition) and modernization of fixed assets; the share of the population with incomes below and above the subsistence level; population under the age of 18; balance of population migration; the number of families provided with housing and in need of better housing conditions; the share of cities with comfortable living conditions; the level of environmental pollution; quality of education by training levels; and share of repaired roads / requiring major repairs (Decree of the President of the Russian Federation, 2019). The listed indicators of the socio-economic development of the constituent entities of the Russian Federation make it possible to draw a conclusion about the effectiveness of a particular territory, determine its rating, they are also a necessary basis for establishing the number of subsidies from the federal budget. One of the aggregated indicators of the economic potential of the municipality is the gross regional product: The coefficient of variation of the gross regional product is 36.43%, which indicates a significant fluctuation of this indicator in the regions of the Russian Federation. The maximum range of values of the analyzed indicator is 757776.9 rubles / person (61.4%), which indicates a different value added in the regions of the country. Therefore, the task of studying the socio-economic efficiency of municipalities as a whole is timely and practically significant.

Problem Statement
According Musienko (Fedorova et al., 2019) and others, who also used different approaches to assessing and characterizing the effectiveness of regional governance.

Research Questions
The technology for

Apply a taxonomic indicator to assess the socio-economic efficiency of municipalities using the legally approved system of single indicators
Thus, the hypothesis of the study is as follows: the taxonomic indicator will make it possible to systematize and generalize the assessment data of the socio-economic efficiency of a particular territory.
At the same time, the comparison base for each single social / economic indicator is differentiated, since there is no subject that has the best values for all selected indicators.

Purpose of the Study
The purpose of the work is to assess the socio-economic efficiency of municipalities, based on the normative list of indicators, as well as to establish factors / reasons that affect the dynamics of the resulting indicator of the economic potential of administrative-territorial units.

Research Methods
Among the normative indicators for assessing the effectiveness of regional management in the work, a limited set of coefficients was selected. This is due to the lack of statistical data on a number of indicators or limited access to them. To solve the research problem, the following indicators were used: labor productivity, expressed in thousands of rubles ( 1 x ); the proportion of the number of families in the category of needing housing ( 2 x ); the proportion of the number of children under 18 years of age ( 3 x ); the proportion of low-quality and unsafe highways for public use ( 4 x ); the volume of capital investments in the construction and modernization of fixed assets per capita in thousands of rubles ( 5 x ); average monthly wages of employees of enterprises / organizations in thousands of rubles ( 6 x ); specific total area of residential premises, put into effect per year in square meters ( 7 x ); the specific amount of electricity consumption in apartment buildings ( 8 x ); share of tax and non-tax revenues of the local budget ( 9 x ).
Using the specified list of coefficients, the taxonomic indicator of the socio-economic efficiency of cities and districts of the Khabarovsk Territory in 2019 is calculated using the formula ( i SEE ) (Babich, 2012): Most of the indicators refer to the stimulators of the economic development of the territory; their values tend to the maximum, and only 2 coefficients (the share of highways that do not meet the https: //doi.org/10.15405/epsbs.2021.11.123 Corresponding Author: Larchenko Yulia Gennadievna Selection and peer-review under responsibility of the Organizing Committee of the conference eISSN:  928 regulatory requirements and the specific electricity consumption) are disincentives that restrain growth, their values tend to a minimum. The list of indicators was supplemented by the coefficient of labor productivity, which directly affects the economic efficiency of any region. , n x -value of j th social / economic indicator in i th municipality; j 0 x -value of j th social / economic indicator in municipality, taken as a comparison base (reference object); k -number of indicators (9); nnumber of municipalities (19); i d -taxonomic distances between the i th and the reference object; i daverage taxonomic distance; d S -square root distance deviation; 0 c -smoothed average taxonomic distance.

Findings
As  provision of transport, logistics services and services for industrial processing of resources, transit cargo in the South-Okhotsk zone (Vanino -Sovetskaya Gavan). Thus, in terms of the volume of capital investments in the construction of main production facilities, the Vaninsky District is 9.3 times higher than the average value for the Khabarovsk Territory, and the Verkhnebureinsky and Sovetsko-Gavansky Districts are 3.1 and 1.9 times higher, respectively.

Conclusion
The results of the study show a significant impact on the level of development of municipalities of the Khabarovsk Territory of the presence of key investment projects aimed at the formation and development of, first of all, regional industrial centers. In the Khabarovsk Territory, 5 industrial centers can be distinguished: Southern border zone, which includes the Khabarovsk cluster, Sredneamurskaya zone (Komsomolsk-na-Amur-Amursk-Solnechny cluster), South Okhotsk zone (Vanino-Sovetskaya Gavan transport and industrial cluster), Nikolaevskaya and Verkhnebureinskaya zones. Thus, the region's economy is primarily focused on the development of logistics infrastructure and the construction of diversified manufacturing enterprises. For this, the region is creating regulatory, legislative and social conditions for expanding the boundaries of territories of advanced development.