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Indices, criteria and methods to evaluate institutional interests of enterprises and commercial banks at different levels of economic development

https://doi.org/10.38050/01300105202112

Abstract

Competition development in production and banking sector of the economy, financial markets, and public administration based on digital and other innovative technologies in XXI century is associated with a disbalance in institutional interests of various entities, including banks and enterprises. The article offers indicators, criteria and methods to assess this imbalance. Further, the authors intend to report the methods that will allow to harmonize the institutional interests of the latter two subjects to enhance their efficiency on the basis of these assessments. In-depth analysis of the studies in Russia and abroad allows us to identify seven new terms for the development of institutional economics: “institutional interest” (II); “imbalance and balance of institutional interests” (III and BII); “index of intuitional interests” (III); “criterion of institutional interests” (CII);”balance and imbalance level of institutional interests“(BLII and ILII); “potential growth balance and imbalance level of institutional interests” (PGBLII and PGBILII)”. This provided a theoretical foundation to develop a new method and propose a new scientific category “supermarket of indices of institutional interests” (SIII). SIII is represented as a multi-level table including more than 425 indices on the basis of which CII is calculated. BLII (ILII) is offered to be measured through membership function according to Harrington scale using fuzzy III of different forms. Final assumptions of the method and its testing will be reported in further publications of the authors.

About the Authors

D. A. Shageev
International Institute of Design and Service
Russian Federation

Moscow



O. S. Kirillova
International Institute of Design and Service
Russian Federation

Moscow



References

1. Alabugin, A.A., & Shageev, D.A. (2014) Management of development of the industrial enterprise for indicators of an imbalance of intergroup and organizational interests: theory and practice. Chelyabinsk RBIU.

2. Antonyuk, V. S., Danilova, I. V., Mitel’man, S.A., & Bulikeeva, A.ZH. (2015). Management of the social infrastructure of the regions in the system of tools for improving the quality of life of the population of the regions. Economy of Region, 3(43), 53–66.

3. Arslanova, H. D. (2017). Instutsionalny stability of a social and economic system of the region (development of institutes of coordination). Regional Problems of Transformation of Economy, 7(81), 18–24.

4. Auzan, A.A. (2019). Digital economy as an Economy: institutional trends. The Moscow University Economics Bulletin, 6, 12–19.

5. Bulatov, A. S. (2016). Russianeconomicmodel andmodernizationprospects. International trends, 4(47), 6–21.

6. Vasil’ev, I.I. (2018). The main directions of digital banking development, acting as financial stability in the development of modern banking technologies in the informatization of economic relations. Azimut nauchnyh issledovanij: ekonomika i upravlenie, 4(25), 63–65.

7. Vil’kin, E. (2017). Institutional changes as driver of transformation of economic systems. World of Changes, 1, 76–87.

8. Gorelov, N.A. (2019). Development of the information society: the digital economy. Urait.

9. Zhura, S.E., Ershova, I. V., & Ikonnikova, O.A. (2018).Тheoretical aspects of functioning and interaction of formal and informal institutes in the context of development of territories. Questions of Economy and Right, 124, 58–63. DOI: 10.14451/2.124.58

10. Zade, L.A. (1976). The concept of a linguistic variable and its application to approximate decisions. World.

11. Zade, L.A., Loft, A., & Dezoer, CH.A. (1970). The theory of linear systems. State Space Method. Science.

12. Zvonova, E.A., & Kuznecov, A. V. (2016). Fundamental imbalances in the global financial architecture. Russian economic journal, 4, 19–31.

13. Zubkova, O. V., & Artemova, A. N. (2011). The problem of compliance with the indicators of operational management of the enterprise with its current strategy. Economic Analysis: Theory and Practice, 23(230), 23–33.

14. Rosstat. Information Society in the Russian Federation 2019. Retrieved January 23, 2020, from https://www.gks.ru/storage/mediabank/info-ob2019.pdf

15. Kazakov, N. P., Bardulina, O. E., & YAkubovskaya, N.A. (2019). Environmental mechanisms of economic imbalance. Aktual'nye problemy gumanitarnyh i social'noekonomicheskih nauk, 6, 71–74.

16. Kajgorodcev, A.A. (2018). Role of the banking system in the socio-economic modernization of Kazakhstan. Science-review, 1, 10–14.

17. Karaseva, L.A., Zinatulin, A. M., & Topalyan, M. R. (2018). Institutionalization of economic interests in social and economic design of development of territories. Problems of Development of the Territory, 1(93), 42–56.

18. Kardapol’cev, K. V. (2017). Characterization of internal imbalances in enterprise business processes. Strategic and innovative management, 1, 1–6.

19. Kil’metova, A. R., & Noskov, V.A. (2017). Global imbalances in the world economy: the causes and ways to overcome them. Problemy sovershenstvovaniya organizacii proizvodstva i upravleniya promyshlennymi predpriyatiyami, 1, 246–250.

20. Makoveckij, M. Y. U., Rudakov, D. V., & Voropaev, K.A. (2018). Topical problems of the development of the Omsk region in the context of modern socio-economic processes in the Russian Federation. Omskij nauchnyj vestnik, seriya obshchestvo, istoriya, sovremennost’, 4, 94–97. DOI: 10.25206/2542-0488-2018-4-94-99

21. Mamij, E.A. (2015). Interest rate management in commercial banks. Financial Analysis: Problems and Solutions, 27, 42–53.

22. Manujlenko, V. V., Kunicyn, I.I. (2017). Statistical and ballno-vesovyye methods for assessing the reputational risks of commercial banks. National Interests: Priorities and Security, 1, 106 –118.

23. Mihajlov, A. M., Vishnever, V.YA. (2016). Оn the issue of contradictions of economic and institutional interests in the context of globalization. Economic and Law Issues, 101, 59–63.

24. Mihajlov, A. M. (2019). Realization of institutional interests in the banking process. Economic sciences, 173, 17–21. DOI: 10.14451/1.173.17

25. Mishin, A.Yu. (2018). Economic and institutional interests and their role in the system of the economic relations. Economic Sciences, 169, 7–10. DOI: 10.114/1.0.1607

26. Novikova, E.A. (2017). Limits of subjective rights of the parties under the loan agreement to refuse to provide and receive credit. Vestnik mezhdunarodnogo yuridicheskogo instituta, 4(63), 78–85.

27. JSC «Artinsky Zavod.» Retrieved December 11, 2019, from http://artiz.ru/

28. Panyushkina, E. V. (2017). Some aspects of realization of economic interests in digital economy. Society and Power, 5(67), 101–105.

29. Pishchik, V.YA. (2018). Institutional arrangements for managing external imbalances in the European Economic and Monetary Union. Economics. Taxes. Right, 6, 131–142. DOI: 10.26794/1999-849X-2018-11-6-131-142

30. Putivceva, N. V., Igrunova, S. V., Migal’, L. V. (2015). Development of programmatic decision support for selection of investment projects. Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika, 1(198), 111–117.

31. Ryzhik, A. V. (2014). Problems of research of institutional interests of Russian owners. Law and State: The Theory and Practice, 4, 147–152.

32. Bank of Russia. Data on loans in rubles, US dollars and euros as a whole for the Russian Federation 2019. Retrieved December 15, 2019, from https://cbr.ru/statistics/pdko/int_rat/

33. Somina, I. V. (2015). Conceptual basis for harmonization of innovative development of economic systems. Economic vector, 3(2), 9–13.

34. Ulyakina, N.A., Vasil’eva, A. G. (2017). Management of the commercial bank’s loan portfolio: methodological aspect. Chelyabinsk RBIU.

35. Tatarkin A.I., Davankov A.Yu., Pryahin G. N., Sedov V. V., Shumakov A.Yu. (2016). Management of the balanced development of territorial systems: questions of the theory and practice. Chelyabinsk ChelGu.

36. Usman, S. S. (2017). Methods of assessing the creditworthiness of enterprises used by Russian banks (using the example of PERMICHIMPRODUKT LLC). Vestnik YURGTU, 6, 40–46.

37. Hajdukova, E. S. (2016). Transaction Costs by Credit Contract Example. Vestnik Yugorskogo gosudarstvennogo universiteta, 4(43), 88–91.

38. European central banks. Retrieved February 9, 2020, from https://ru.investing.com/central–banks/europe

39. Ciplakova, E. M. (2015). Functions of commercialization management and quality indicators of their application by factors of harmonization of interests of producers and consumers. Nauka i obrazovanie, 1, 94–96.

40. Shageev, D.A., & Kirillova, O. S. (2019). Governance in the context of institutional imbalances in the productive and banking sectors of the regional economy. Bulletin of the South Ural State University. Ser. Economics and Management, 3(13), 46–59. DOI: 10.14529/em190305

41. Shastitko, A. E. (2017). Designed institutions: theories and interests. Zhournal Novoi Ekonomicheskoi Associacii, 3(35), 177–184. DOI: 10.31737/2221-2264-2017-35-3-9

42. Shvajba, D. N. (2018). Institutional mechanisms for harmonization of interests as a condition for ensuring social and economic protection at the micro level. Bulletin of science and practice, 5(4), 361–369.

43. Yur’eva, I. V. (2018). Transaction costs in the implementation of credit relations. Science almanac, 4(42), 191–194. DOI: 10.17117/na.2018.04.01.191

44. Alraheb, T. H., Nicolas, Ch, & Tarazi, A. (2019). Institutional Environment and Bank Capital Ratios. Journal of Financial Stability, 43, 1–24. https://doi.org/10.1016/j.jfs.2019.05.016

45. Bellman R. E., & Zadeh L.A. (1970). Decision–Making in a Fuzzy Environment. Management Science, 4(7), 141–164.

46. Cacciolatti, L., Lee, S. H., & Molinero C. M. (2017). Clashing institutional interests in skills between government and industry: An analysis of demand for technical and soft skills of graduates in the UK. Journal of Technological Forecasting and Social Change, 6, 139–153. https://doi.org/10.1016/j.techfore.2017.03.024

47. Clo, S., & Fumagalli, E. (2019). The effect of price regulation on energy imbalances: A Difference in Differences design. Energy Economics, 81, 754–764. https://doi.org/10.1016/j.eneco.2019.05.008

48. Cox, E. (1999). The fuzzy systems handbook: A practitioner’s guide to building, using, maintaining fuzzy systems. AP professional.

49. Dhanani, A. (2019). Identity constructions in the annual reports of international development NGOs: Preserving institutional interests? Journal of Critical Perspectives on Accounting, 3(59), 1–31. https://doi.org/10.1016/j.cpa.2018.06.001

50. Dutton, J., & Lockwood, M. (2017). Ideas, institutions and interests in the politics of cross-border electricity interconnection: Greenlink, Britain and Ireland. Journal of Energy Policy, 105, 375–385. https://doi.org/10.1016/j.enpol.2017.03.001

51. Dzyuba, A. P., Baev, I.A., Solovieva, I.A., & Gitelman, L. M. (2018). Methodological approach to energy consumption management at industrial enterprises. Challenges and Solutions in the Russian Energy Sector Сер. “Innovation and Discovery in Russian Science and Engineering” Cham, 97–104.

52. Fuentelsaz, L., González, C., & Maicas, J. P. (2019). Formal institutions and opportunity entrepreneurship. The contingent role of informal institutions. BRQ Business Research Quarterly, 1(22), 5–24. https://doi.org/10.1016/j.brq.2018.06.002

53. Gaines, B. R., Zimmerman, H. J., & Zadeh, L.A. (1984). Fuzzy sets and decision analysis — a perspective. Fuzzy sets and decision analysis, 20, 3–8.

54. García-Cabrera, A. M., Durán-Herrera, J. J., & Suárez-Ortega, S. M. (2019). Multinationals’ political activity for institutional change: Evidence from Spain during the international crisis of 2008. European Management Journal, 37, 541–551. https://doi.org/10.1016/j.emj.2019.02.001

55. Hotte, N., Kozak, R., & Wyatt, S. (2019). How institutions shape trust during collective action: A case study of forest governance on aida Gwaii. Journal of Forest Policy and Economics, 10(107), Article 1014921.

56. Hughes, L., & Urpelainen, J. (2015). Interests, institutions, and climate policy: Explaining the choice of policy instruments for the energy sector. Journal of Environmental Science & Policy, 12(54), 52–63. https://doi.org/10.1016/j.envsci.2015.06.014

57. Khan, M.A., Abdulahi, M.E., Liaqat, I., & Shah, S. S. (2019). Institutional quality and financial development: The United States perspective. Journal of Multinational Financial Management, 49, 67–80. https://doi.org/10.1016/j.mulfin.2019.01.001

58. Khudyakova, T.A., & Shmidt, A. V. (2017). Improving the efficiency of the enterprise’s activity based on the implementation of the controlling system. Proceedings of Strategic Management and its Support by Information Systems, 46–52.

59. Mertzanis, Ch., Basuony, M.A. K., & Mohamed, E. K. A. (2019). Social institutions, corporate governance and firm–performance in the MENA region. Research in International Business and Finance, 48, 75–96. https://doi.org/10.1016/j.ribaf.2018.12.005

60. Pelzer, P., Frenken, K., & Boon W. (2019). Institutional entrepreneurship in the platform economy: How Uber tried (and failed) to change the Dutch taxi law. Journal of Environmental Innovation and Societal Transitions, 33, 1–12. https://doi.org/10.1016/j.eist.2019.02.003

61. Renckens, S., & Auld, G. (2019). Structure, path dependence, and adaptation: North– South imbalances in transnational private fisheries governance. Ecological Economics, 166, Article 106422. https://doi.org/10.1016/j.ecolecon.2019.106422

62. Saxena, K., & Abhyankar, A. R. (2019). Agent based bilateral Trans active market for emerging distribution system considering imbalances. Sustainable Energy, Grids and Networks, 18, Article 100203.

63. Shen, F., Zhao, X., Li, Z., Li, K., & Meng, Z. (2019). A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation. Physica A: Statistical Mechanics and its Applications, 526, Article 121073. https://doi.org/10.1016/j.physa.2019.121073

64. Sun, J., Lang, J., Fujita, H., & Li, H. (2018). Imbalanced enterprise credit evaluation with DTE–SBD: Decision tree ensemble based on SMOTE and bagging with differentiated sampling rates. Information Sciences, 425, 76–91. https://doi.org/10.1016/j. ins.2017.10.017

65. Tian, X., Geng, Y., & Ulgiati, S. (2017). An emergy and decomposition assessment of China–Japan trade: Driving forces and environmental imbalance. Journal of Cleaner Production, 141, 359–369. https://doi.org/10.1016/j.jclepro.2016.09.124

66. Wang, G., Xu, M., Grant-Muller, S., & Gao, Z. (2020). Combination of tradable credit scheme and link capacity improvement to balance economic growth and environmental management in sustainable–oriented transport development: A bi-objective bi-level programming approach. Transportation Research Part A: Policy and Practice, 137, 459-471. https://doi.org/10.1016/j.tra.2018.10.031

67. Wong, M. L., Seng, K., & Wong, P. K. (2020). Cost-sensitive ensemble of stacked denoising autoencoders for class imbalance problems in business domain. Expert Systems with Applications, 141, Article 112918. https://doi.org/10.1016/j.eswa.2019.112918

68. Zadeh, L.A., Sanchez, E. (1987). Approximate reasoning in intelligent systems, decision and control Oxford etc. Pergamon press.

69. Zadeh, L.A., Kacprzyk, J. (1992). Fuzzy Logic for the Management of Uncertainty. John Wiley & Sons Inc.

70. Zadeh, L.A. (1975). Fuzzy Probabilities and Their Role in Decision Analysis. IFAC Proceedings, 1(15), 15–21.

71. Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 3(8), 338–353.

72. Zadeh, L.A., Fu, K. S., Tanaka, K., Shimura, M. (1975). Fuzzy sets and their applications to Cognitive and Decision Processes. Academic Press.

73. Zadeh, L.A. (1999). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 100, 9–34.

74. Zadeh, L.A. (1999). Fuzzy theory systems: Techniques and applications. Acad. Press.

75. Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning — I. Information Sciences, 3(8), 199–249.

76. Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning — II. Information Sciences, 4(8), 301–357.

77. Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning — III. Information Sciences, 1(9), 43–80.

78. Zadeh, L.A. (1983). The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets and Systems, 1–3(11), 199–227.

79. Zalina, I., Azman, I., Kithuru, M.A., & Mohd, R. S. (2016).Association of Managers’ Political Interests towards Employees’ Feelings of Distributive Justice and Job Satisfaction in Performance Appraisal System. Journal of Procedia — Social and Behavioral Sciences, 6(224), 523–530. https://doi.org/10.1016/j.sbspro.2016.05.429


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Shageev D.A., Kirillova O.S. Indices, criteria and methods to evaluate institutional interests of enterprises and commercial banks at different levels of economic development. Moscow University Economics Bulletin. 2021;(1):26-57. (In Russ.) https://doi.org/10.38050/01300105202112

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