DOI: 10.33917/es-2.188.2023.56-63

The present article analyzes the development level of the Russian economy and reveals problematic factors that hinder the progress of innovative production. The author identifies priority industries in terms of the Russian capital concentration and the reasons limiting the investment activities of domestic and foreign investors in industries of high technological competence. Reindustrialization of the economy, aimed at restoring the production potential of manufacturing industry through modern innovative transformations, is shows necessary.

References:

1. Zelenkina E.V., Pavlenko I.V., Lukoshevichus G.A. Metod obespecheniya innovatsionnogo razvitiya infrastruktury agroproizvodstvennogo rynka [Method for Ensuring Innovative Development of the Infrastructure of the Agro-industrial Market]. Nauchnoe obozrenie. Seriya 1: Ekonomika i pravo, 2018, no 3–4, pp. 84–94.

2. Mirovaya ekonomika. Statistika [World Economy. Statistics]. Ereport, URL: www.ereport.ru.

3. Informatsiya Federal’noi nalogovoi available at: www.ereport.ru.sluzhby ot 6 maya 2022 g. “Svedeniya o sredneotraslevykh pokazatelyakh nalogovoi nagruzki, rentabel’nosti prodannykh tovarov, produktsii, rabot, uslug i rentabel’nosti aktivov organizatsii po vidam ekonomicheskoi deyatel’nosti, kharakterizuyushchikh finansovo-khozyaistvennuyu deyatel’nost’ nalogoplatel’shchikov za 2020 god” [Information of the Federal Tax Service dated May 6, 2022 “Information on Industry-average Indicators of the Tax Burden, Profitability of Goods Sold, Products, Works, Services and Profitability of Organizations’ Assets by Type of Economic Activity Characterizing the Financial and Economic Activities of Taxpayers for 2020”]. Garant, available at: http://www.garant.ru.

4. Silin Ya.P., Animitsa E.G. Rossiiskaya model’ novoi industrializatsii: k postanovke problem [Russian Model of New Industrialization: to the Formulation of the Problem]. Izvestiya Ural’skogo gosudarstvennogo ekonomicheskogo universiteta, 2017, no 5(73), pp. 44–53.

5. Shibaev S.V., Marushchak I.I. Mnogotselevoi podkhod k otsenke innovatsionno-investitsionnogo potentsiala khozyaistvuyushchikh sub”ektov [A Multi-purpose Approach to Assessing the Innovation and Investment Potential of Economic Entities]. Aktual’nye problemy sotsial’no-ekonomicheskogo razvitiya Rossii, 2018, no 1, pp. 63–68.

6. Goland Yu.M. Opyt industrializatsii pri NEPe i ego ispol’zovanie v sovremennykh usloviyakh [Experience of Industrialization under the New Economic Policy and its Use in Modern Conditions]. Voprosy ekonomiki, 2013, no 10, pp. 109–135.

7. Maevskii V.I. Kornai, Shumpeter i ekonomicheskaya teoriya [Kornai, Schumpeter and Economic Theory]. Voprosy ekonomiki, 2012, no 8, pp. 145–152.

DOI: 10.33917/es-2.188.2023.50-55

Examines the monetary policy features in the context of the investment agenda. Current policy of the Bank of Russia is analyzed. Business profitability accounting in the monetary policy of the financial regulator contribute to the growth of Russian companies’ investment activity.

References:

1. Lutsenko S.I. Dokhodnost’ biznesa i denezhno-kreditnaya politika [Profitability of Business and Monetary Policy]. Strategicheskie resheniya i riskmenedzhment, 2022, no 4, pp. 326–332.

2. Konstitutsiya Rossiiskoi Federatsii (prinyata vsenarodnym golosovaniem 12 dekabrya 1993 g. s izmeneniyami, odobrennymi v khode obshcherossiiskogo golosovaniya 1 iyulya 2020 g.) [The Constitution of the Russian Federation (adopted by popular vote on 12/12/1993 with amendments approved during the all-Russian vote on 07/01/2020)]. Ofitsial’nyi sait Prezidenta RF, available at: http://www.kremlin.ru/acts/constitution.

3. Opredelenie Konstitutsionnogo suda RF ot 14 dekabrya 2000 g. no 268-O [Determination of the Constitutional Court of the Russian Federation of December 14, 2000 No. 268-O]. Vestnik Konstitutsionnogo suda RF, 2001, no 2.

4. Opredelenie Konstitutsionnogo suda RF ot 15 yanvarya 2003 g. no 45-O [Determination of the Constitutional Court of the Russian Federation of January 15, 2003 No. 45-O]. Vestnik Konstitutsionnogo suda RF, 2003, no 3.

5. Federal’nyi zakon ot 10 iyulya 2002 g. no 86-FZ “O Tsentral’nom banke Rossiiskoi Federatsii (Banke Rossii)” [Federal Law of July 10, 2002 No. 86-FZ “On the Central Bank of the Russian Federation (Bank of Russia)”]. Sobranie zakonodatel’stva RF, 2002, no 28.

6. Osnovnye napravleniya edinoi gosudarstvennoi denezhno-kreditnoi politiki na 2023 god i period 2024 i 2025 godov (utv. Bankom Rossii) [The main directions of the unified state monetary policy for 2023 and the period of 2024 and 2025 (approved by the Bank of Russia)]. Konsul’tantPlyus, available at: https://www.consultant.ru/document/cons_doc_LAW_430425.

7. Informatsiya Banka Rossii ot 24 maya 2019 g. “MVF nazval targetirovanie inflyatsii i gibkii obmennyi kurs odnimi iz klyuchevykh predposylok dlya povysheniya potentsiala rosta rossiiskoi ekonomiki” [Information from the Bank of Russia dated May 24, 2019 “The IMF called inflation targeting and a flexible exchange rate one of the key prerequisites for increasing the growth potential of the Russian economy”]. Vestnik Banka Rossii, 2019, no 34.

8. Informatsionnoe soobshchenie Banka Rossii ot 21 noyabrya 2019 g. “Missiya MVF zayavila o vazhnosti sokhraneniya v Rossii prochnoi makroekonomicheskoi osnovy” [Information message of the Bank of Russia dated November 21, 2019 “The IMF mission declared the importance of maintaining a solid macroeconomic foundation in Russia”]. Vestnik Banka Rossii, 2019, no 74.

9. Prikaz Minsel’khoza Rossii ot 19 marta 2014 g. no 83 “Ob utverzhdenii otraslevoi tselevoi programmy “Razvitie khlebopekarnoi promyshlennosti Rossiiskoi Federatsii na 2014–2016 gody” [Order of the Ministry of Agriculture of Russia dated March 19, 2014 no. 83 “On approval of the sectoral target program “Development of the baking industry of the Russian Federation for 2014-2016”]. Konsul’tantPlyus, available at: https://www.consultant.ru/cons/cgi/online.cgi?req=doc&base=EXP&n=582610#8c8RoZTUXZLWGs3n.

DOI: 10.33917/es-2.188.2023.44-49

The article addresses the change in the market index of “Economic Strategies” (MIES) for 2022. Contribution of the supply and demand indicators to the KIES is assessed. Dynamics of industrial production is analyzed.

References:

1. Poslanie Prezidenta Rossiiskoi Federatsii Federal’nomu sobraniyu Rossiiskoi Federatsii ot 21 fevralya 2023 g. [Address of the President of the Russian Federation to the Federal Assembly of the Russian Federation of February 21, 2023]. Ofitsial’nyi sait Prezidenta RF, available at: http://kremlin.ru/events/president/news/70565.

2. Otsenka chislennosti postoyannogo naseleniya na 1 yanvarya 2023 g. i v srednem za 2022 g. i komponenty ee izmeneniya (s uchetom itogov Vserossiiskoi perepisi naseleniya 2020 g.) [Estimated Resident Population as of January 1, 2023 and on Average for 2022 and Components of its Change (Against Results of the 2020 All-Russian Population Census)]. Federal’naya sluzhba gosudarstvennoi statistiki, available at: https://rosstat.gov.ru/folder/12781.

3. Sotsial’no-ekonomicheskoe polozhenie Rossii v yanvare — dekabre 2022 goda: Doklad [Socio-Economic Situation in Russia in January-December 2022: Report]. Federal’naya sluzhba gosudarstvennoi statistiki, available at: https://rosstat.gov.ru/storage/mediabank/osn-12-2022.pdf.

4. Sotsial’no-ekonomicheskoe polozhenie Rossii v yanvare 2023 goda: Doklad [Socio-Economic Situation in Russia in January 2023: Report]. Federal’naya sluzhba gosudarstvennoi statistiki, available at: https://rosstat.gov.ru/storage/mediabank/osn-01-2023.pdf.

5. Frenkel’ A.A., Tikhomirov B.I., Surkov A.A. Itogi razvitiya mobilizatsionnoi ekonomiki Rossii v yanvare — sentyabre 2022 g.: bor’ba za gosudarstvennyi suverenitet [Results of the Development of the Mobilization Economy of Russia in January — September 2022: the Struggle for State Sovereignty].

Ekonomicheskie strategii, 2022, no 6(186), pp. 30–35, DOI: 10.33917/es-6.186.2022.30-35.

6. Informatsiya ob uchastii Prezidenta RF v rabote ezhegodnogo s”ezda Rossiiskogo soyuza promyshlennikov i predprinimatelei (RSPP) 16 marta 2023 g. [Information on Participation of the President of the Russian Federation in the Annual Congress of the Russian Union of Industrialists and Entrepreneurs (RSPP) on March 16, 2023]. Ofitsial’nyi sait Prezidenta RF, available at: http://kremlin.ru/events/president/news/70688.

DOI: 10.33917/es-1.187.2023.36-38

Two shortcomings of our economy — poverty and the “free rider problem” — have the same origin — an exorbitant tax burden on wages. Mathematical modeling of the transition process from modern to transactional taxation, carried out by a group of Russian scientists, has shown that due to this transition, the country’s economy will begin to grow at a rate of 6–7% per year. And most importantly, the very concept of misery will disappear in the country and poverty will be reduced significantly.

References:

1. Eksperty predlozhili reshenie “problemy bezbiletnika” [Experts have Proposed a Solution to the “Free Rider Problem”]. RBK, 2022, 9 dekabrya, available at:

https://www.rbc.ru/economics/09/12/2022/63919fe19a79478d83afaf82.

2. Neravenstvo i bednost’ [Inequality and Poverty]. Federal’naya sluzhba gosudarstvennoi statistiki, available at: https://rosstat.gov.ru/folder/13723.

3. Sotsial’no-ekonomicheskii byulleten’. 2021 [Socio-economic Bulletin. 2021]. Pod red. A.V. Shcherbakova; Tsentr sotsial’no-ekonomicheskogo prognozirovaniya

im. D.I. Mendeleeva, Sretenskii klub im. S.P. Kurdyumova. Moscow, Grifon, 2022.

4. Shcherbakov A.V., Rumyantsev V.Yu., Oleskin A.V. Setevaya ekonomika [Network Economy]. Pod red. A.V. Shcherbakova; Tsentr sotsial’no-ekonomicheskogo

prognozirovaniya im. D.I. Mendeleeva, Sretenskii klub im. S.P. Kurdyumova. Moscow, Grifon, 2020.

5. Shcherbakov A.V., Malkov S.Yu. Mobilizatsionnaya ekonomika Rossii [Mobilization Economy of Russia]. Moscow, Grifon, 2022.

6. Smit A. Issledovanie o prirode i prichinakh bogatstva narodov [Survey on the Nature and Causes of the Wealth of Nations]. Kn. 1–3. Moscow, Azbuka, 2019.

DOI: 10.33917/es-1.187.2023.26-35

Technological changes form the basis of modern economic development, however, in order to study their influence and features, as well as to develop control actions, it is necessary to adequately measure the level of technological effectiveness of the economy. The purpose of the study is to identify the limitations of existing approaches and methods for measuring technological development, indicating what prospects there are in terms of their improvement or the development of new ways to assess the level of manufacturability and emerging technologies. The methodology is based on the economic theory of technological development, statistical approaches to measuring the level of technological effectiveness of the economy, performance assessment, and comparative analysis is applied. The result is reduced to a reasonable position that the existing methods for measuring the level of manufacturability essentially do not reveal the true content of this concept, do not reflect the manufacturability of the economy. Thus, it is required to revise and introduce new accounting, measurement and statistical procedures covering the issues of technological development. The measuring apparatus for technological modes, the “knowledge economy” also requires perfection, which is proposed in this study.

By modes, it is important to measure the distribution of policy instruments and the structure of technologies in each mode, for which accounting for specific types of technologies and the construction of technological maps can be used. The “knowledge economy”, which symbolizes a high level of technological development, needs to be measured in its purest form by the volume of sectors responsible for the creation, transfer, replication and application of advanced knowledge. Evaluation of productive jobs needs to be revised — from measuring wages in the workplace, as it is today, to measuring the level of its automation and intellectualization.

References:

1. Glaz’ev S.Yu. Teoriya dolgosrochnogo tekhniko-ekonomicheskogo razvitiya [Theory of Long-term Technical and Economic Development]. Moscow, Vladar, 1993, 310 p.

2. Peres K. Tekhnologicheskie revolyutsii i finansovyi kapital. Dinamika puzyrei i periodov protsvetaniya [Technological Revolutions and Financial Capital. Dynamics of Bubbles and Periods of Prosperity]. Moscow, Delo, 2011, 232 p.

3. Sukharev O.S. Ekonomika tekhnologicheskogo razvitiya [Economics of Technological Developmen]. Moscow, Finansy i statistika, 2008, 480 p.

4. Khelpman E. Zagadka ekonomicheskogo rosta [The Mystery of Economic Growth]. Moscow, Izdatel’stvo instituta Gaidara, 2011, 240 p.

5. Shumpeter I.A. Teoriya ekonomicheskogo razvitiya. Kapitalizm, sotsializm i demokratiya [Theory of Economic Development. Capitalism, Socialism and Democracy]. Moscow, Eksmo, 2007, 864 p.

6. Antonelli C., Gehringer А. Technological change, rent and income inequalities: A Schumpeterian approach. Technological Forecasting & Social Change, 2017, vol. 115, pp. 85–98.

DOI: 10.33917/es-1.187.2023.16-25

Forecasting the ruble exchange dynamics appears objectively necessary for shaping both the medium-term financial strategy of industry corporations and the general strategic course for occupying leading positions in sectors of business interest, including through the use of new financial instruments, new markets and, in general, a system of strategic planning of socio-economic development of Russia. However, in today’s realities, according to most experts, with whom we cannot but agree, the task of forecasting seems extremely difficult and appears complicated by the fact that the launched crises are unpredictable and are characterized by a diverse nature (pandemic and geopolitical crises, expansion of trade wars and sanctions). In such conditions, when uncertainty grows excessively, it is important to turn to the accumulated experience: to analyze to what extent the available models can be suitable for prospective assessments in the current environment.

References:

16. Ageev A.I., Glaz’ev S.Yu., Mityaev D.A., Zolotareva O.A., Pereslegin S.B. Postroenie modeli prognoza kursa valyut na dolgosrochnom i kratkosrochnom gorizontakh [Building a Model for Forecasting the Exchange Rate on the Long-term and Short-term Horizons]. Ekonomicheskie strategii, 2022, no 6 (186), pp. 16–25, available at: DOI: https://doi.org/10.33917/es-6.186.2022.16-25.

17. Dubrova T.A. Analiz vremennykh dannykh [Time Data Analysis]. Analiz dannykh. Moscow, Yurait, 2019, pp. 397–459.

18. Boks Dzh, Dzhenkins G. Analiz vremennyh ryadov [Time Series Analysis]. Prognozirovanie i upravlenie. Moscow, Mir, 1974, 406 p.

19. Alzheev A.V., Kochkarov R.A. Sravnitel’nyi analiz prognoznykh modelei ARIMA i LSTM na primere aktsii rossiiskikh kompanii [Comparative Analysis of ARIMA and LSTM Forecasting Models on the Example of Russian Companies’ Stocks]. Finansy: teoriya i praktika, 2020, no 24(1), pp. 14–23,
DOI: 10.26794/2587-5671-2020-24-1-14-23.

20. Mhitaryan S.V., Danchenok L.A. Prognozirovanie prodazh s pomoshch’yu adaptivnyh statisticheskih metodov [Sales Forecasting with the Help of Adaptive Statistical Methods]. Fundamental’nye issledovaniya, 2014, no 9-4, pp. 818–822.

21. Pilyugina A.V., Bojko A.A. Ispol’zovanie modelej ARIMA dlya prognozirovaniya valyutnogo kursa [Using ARIMA Models for Exchange Rate Forecasting]. Prikaspijskij zhurnal: upravlenie i vysokie tekhnologii, 2015, no 4, pp. 249-267.

22. Ruppert D., Matteson D.S. Statistics and Data Analysis for Financial Engineering. Springer, 2015, available at: https://link.springer.com/book/10.1007%2F978-1-4939-2614-5.

23. Garcia F., Guijarro F., Moya I., Oliver J. Estimating returns and conditional volatility: A comparison between the ARMA-GARCH-M models and the backpropagation neural network. International Journal of Complex Systems in Science, 2012, no 1(2), pp. 21–26.

24. Maniatis P. Forecasting the Exchange Rate Between Euro And USD: Probabilistic Approach Versus ARIMA And Exponential Smoothing Techniques. Journal of Applied Business Research (JABR), 2012, no 28(2), pp. 171–192, available at: https://doi.org/10.19030/jabr.v28i2.6840.

DOI: https://doi.org/10.33917/es-6.186.2022.30-35

Changing of a conjuncture index of “Economic strategy” (CIES) for nine months of 2020 is considered. The contribution of indicators of supply and demand in CIES is estimated. The analysis of industrial production is carried out.

References:

1. Sotsial’no-ekonomicheskoe polozhenie Rossii v yanvare — sentyabre 2022 goda [Socio-economic Situation in Russia in January — September 2022]. Federal’naya sluzhba gosudarstvennoi statistiki, available at: https://rosstat.gov.ru/storage/mediabank/osn-09-2022.pdf.

2. Frenkel’ A.A., Tikhomirov B.I., Surkov A.A. Yanvar’ — mai 2022 goda: Rossiya v usloviyakh tormozheniya sotsial’no-ekonomicheskogo razvitiya [2022, January — May: Russia in the Context of Slowing Down Socio-economic Development]. Ekonomicheskie strategii, 2022, vol. 24, no 4, pp. 90–95, DOI: https://doi.org/10.33917/es-4.184.2022.90-95.

3. Informatsiya o soveshchanii Prezidenta RF s chlenami Pravitel’stva RF 16 noyabrya 2022 g. v rezhime videokonferentsii [Information on the Meeting of the President of the Russian Federation with Members of the RF Government on November 16, 2022 Via Videoconference]. Ofitsial’nyi sait Prezidenta RF, available at: http://kremlin.ru/events/president/news/69847.

4. Prognoz sotsial’no-ekonomicheskogo razvitiya Rossiiskoi Federatsii na 2023 god i na planovyi period 2024 i 2025 godov [Forecast of the Socio-economic Development of the Russian Federation for 2023 and for the Scheduled Period of 2024 and 2025]. Ministerstvo ekonomicheskogo razvitiya RF, 2022, 28 sentyabrya, available at: https://economy.gov.ru/material/file/ea2fd3ce38f2e28d51c312acf2be0917/prognoz_socialno_ekonom_razvitiya_rf_2023-2025.pdf.

5. Informatsiya o Plenarnom zasedanii Peterburgskogo mezhdunarodnogo ekonomicheskogo foruma s uchastiem Prezidenta RF 17 iyunya 2022 g. [Information on the Plenary Meeting of the St. Petersburg International Economic Forum with Participation of the President of the Russian Federation on June 17, 2022]. Ofitsial’nyi sait Prezidenta RF, available at: kremlin.ru/events/president/news/68669.

DOI: https://doi.org/10.33917/es-6.186.2022.26-29

Sanctions against the Russian Federation have created fundamentally new conditions for the functioning of the Russian economy.

This poses new challenges, which require government spendings increase. It appears that Russian regulators have unused mechanisms, the use of which will provide the economy with new money, without complicating the situation of other sectors. The article suggests mechanisms that highlights internal sources of liquidity formation for the economy. In the environment of sanctions, such mechanisms also increase the independence of monetary policy from external constraints.

References:

1. Kommentarii Banka Rossii po operatsiyam na rynke gosudarstvennogo dolga [Bank of Russia’s Commentary on Operations in the Government Debt Market]. Bank of Russia, 2022, 18 marta, available at: http://www.cbr.ru/eng/press/event/?id=12763.

2. TsB RF [Central Bank of the Russian Federation]. Obzor riskov finansovykh rynkov, 2022, no 2–3(60–61), fevral’-mart.

3. Bank Rossii. Osnovnye napravleniya edinoi gosudarstvennoi denezhno-kreditnoi politiki na 2023 god i period 2024 i 2025 godov: Proekt ot 11 avgusta 2022 g. [Bank of Russia. Guidelines for the Single State Monetary Policy for 2023 and the Period of 2024 and 2025: the Draft of August 11, 2022]. Bank Rossii, pp. 24–25, available at: https://cbr.ru/about_br/publ/ondkp/on_2023_2025/

4. Ershov M.V. Kakaya ekonomicheskaya politika nuzhna Rossii v usloviyakh sanktsii? [What Kind of Economic Policy does Russia Need in the Face of Sanctions?]. Voprosy ekonomiki, 2014, no 12, pp. 37–53.

DOI: https://doi.org/10.33917/es-6.186.2022.16-25

Forecasting the ruble exchange dynamics appears objectively necessary for shaping both the medium-term financial strategy of industry corporations and the general strategic course for occupying leading positions in sectors of business interest, including through the use of new financial instruments, new markets and, in general, a system of strategic planning of socio-economic development of Russia. However, in today’s realities, according to most experts, with whom we cannot but agree, the task of forecasting seems extremely difficult and appears complicated by the fact that the launched crises are unpredictable and are characterized by a diverse nature (pandemic and geopolitical crises, expansion of trade wars and sanctions). In such conditions, when uncertainty grows excessively, it is important to turn to the accumulated experience: to analyze to what extent the available models can be suitable for prospective assessments in the current environment.

References:

1. Kuranov G.O. Metodicheskie voprosy kratkosrochnoi otsenki i prognoza makroekonomicheskikh pokazatelei [Methodological Issues of Short-Term Assessment and Forecast of Macroeconomic Indicators]. Voprosy statistiki, 2018, no 25(2), pp. 3–24.

2. Frenkel’ A.A., Volkova N.N., Surkov A.A., Romanyuk E.I. Sravnitel’nyi analiz modifitsirovannykh metodov Greindzhera — Ramanatkhana i Beitsa — Greindzhera dlya postroeniya ob”edinennogo prognoza dinamiki ekonomicheskikh pokazatelei [Comparative Analysis of Modified Granger-Ramanathan and Bates-Granger Methods for Developing a Combined Forecast of Economic Indicators Dynamics]. Voprosy statistiki, 2019, no 26(8), pp. 14–27.

3. Shirov A.A. Makrostrukturnyi analiz i prognozirovanie v sovremennykh usloviyakh razvitiya ekonomiki [Macrostructural Analysis and Forecasting under Current Conditions of Economic Development]. Problemy prognozirovaniya, 2022, no 5, pp. 43–57.

4. Dmitrieva M.V., Suetin S.N. Modelirovanie dinamiki ravnovesnykh valyutnykh kursov [Simulating the Dynamics of Equilibrium Exchange Rates]. Vestnik KIGIT, 2012, no 12–2(30), pp. 061–064.

5. Linkevich E.F. Mirovaya valyutnaya sistema: poliinstrumental’nyi standart [World Monetary System: Polyinstrumental Standard]. Krasnodar, 2014, pp. 82–91.

6. Ageev A.I., Loginov E.L. Izmenenie strategii operirovaniya dollarom: zapusk SShA novogo kreditno-investitsionnogo tsikla vo vzaimosvyazi s valyutnymi voinami [Changing the Strategy of Dollar Handling: US Launch of New Credit-Investment Cycle in Association with the Currency Wars]. Ekonomicheskie strategii, 2015, no 3(129), pp. 20–35.

7. Fedorova E.A., Lazarev M.P. Vliyanie tseny na neft’ na finansovyi rynok Rossii v krizisnyi period [Impact of Oil Prices on the Financial Market of Russia During the Crisis]. Finansy i kredit, 2014, № 20(596), pp. 14–22.

8. Kuz’min A.Yu. Valyutnye kursy: v poiskakh strategicheskogo ravnovesiya [Exchange Rates: in Search of Strategic Equilibrium]. Ekonomicheskie strategii, 2018, no 1, pp. 82–91.

DOI: https://doi.org/10.33917/es-5.185.2022.30-41

The paper undertakes to analyse the changes in the economic agent which it is subject to when described from the perspective

of different worldviews. The mechanistic, electrodynamic and relativistic quantum worldviews suggest different interpretations of the properties of the object, hence describe economic objects different in nature. Reliance on physicalist methods makes it possible to reveal an economic agent displaying solidarity and to outline its preconditions. The goal of this research is reconsidering the object of economics and revealing its new properties. The first task is to describe the economic agent in mechanistic terms, the second task is to add to it the properties that are drawn from quantum mechanics.

The paper looks for analogies and metaphors of such phenomena as tunnel effect and duality of microparticles. It also suggests

a system of institutional organization for regulating demand for different categories of goods.

The theory of institutions is interpreted through the analogies of the electrodynamic worldview. The principles of behavioral economics are presented in terms of the quantum-relative worldview.

The article reveals a new production factor that allows the agent to exchange the labour performed in the system of informal institutions for its analogies in the formal system. It is inferred that the peculiarities of behaviour are formed by institutions and divide agents of demand into groups. The metaphors of quantum-field experiments are revealed to explain the mechanisms of influence on these groups depending on their preferences. The paper explores the agent of demand — the purchaser — consisting of multiple households. Economic analogies are searched in the process of interpreting the law of demand and supply.

References:

1. Mirowski P. More Heat than Light: Economics as Social Physics, Physics as Nature’s Economics. New York: Cambridge University Press, 1989, p. 3.

2. Stepin V.S. Teoreticheskoe znanie [Theoretical Knowledge]. Moscow, Progress-Traditsiya, 2000, 744 p.

3. Churilin M.Yu. Vliyanie progressa v estestvennykh naukakh na osmyslenie ponyatiya homo economicus [Influence of Progress in Sciences on the Understanding of the Notion of Homo Economicus]. Ekonomicheskie strategii, 2018, no 1, pp. 198–207.

4. Avtonomov V.S. Model’ cheloveka v ekonomicheskoi nauke [Human Model in Economics]. Saint Petersburg, Ekonomicheskaya shkola, 1998, p. 62. (Seriya: Eticheskaya ekonomiya: Issledovaniya po etike, kul’ture i filosofii khozyaistva.)

5. Fridmen M. Metodologiya pozitivnoi ekonomicheskoi nauki [Methodology of Positive Economics]. THESIS, 1994, vyp. 4, p. 36.

6. Grebnev L.S. Chelovek v ekonomike: teoretiko-metodologicheskii analiz [Human in Economics: Theoretical and Methodological Analysis]. Natsional’nyi issledovatel’skii universitet “Vysshaya shkola ekonomiki”, p. 22, available at: https://www.hse.ru/data/xf/2013/08/20/1291716033/dissertation.pdf.

7. Inglkhart R. Kul’turnaya evolyutsiya. Kak izmenyayutsya chelovecheskie motivatsii i kak eto menyaet mir [Cultural Evolution. How Human Motivations are Changing and How it is Changing the World]. Moscow, Mysl’, 2018, p. 21.