bgscience@idbg.ru
+7 495 648 62 41 Russia, 127015, Moscow, Novodmitrovskaya st. 5A (b. 7)
Menu

Switch to Russian:to Russian

Methods of political-economic analysis application for conducting effective coordinated industrial policy in the digital economy context


Frolov V.G., Kaminchenko D.I.
(about the authors)

Frolov Vladislav Genrikhovich – (Lobachevsky State University of Nizhni Novgorod – National Research University (UNN))

Kaminchenko Dmitriy Igorevich – (Lobachevsky State University of Nizhni Novgorod – National Research University (UNN))

Published in:
Journal of Economics, Entrepreneurship and Law
– Volume 9, Number 4 (October-December 2019)

JEL classification: O25, O32, O33

Keywords: applied policy analysis, balance, coordination of interests, digital economy, digital transformation, digitalization, efficiency, industrial policy, Industry 4.0, situational analysis


Citation:
Frolov V.G., Kaminchenko D.I. (2019). Methods of political-economic analysis application for conducting effective coordinated industrial policy in the digital economy context. Journal of Economics, Entrepreneurship and Law, 9(4), 289-300. doi: 10.18334/epp.9.4.41417


Share:

Abstract:

The task of development, adoption and implementation of effective balanced industrial policy that would be aligned the interests of all economic entities and the state in the digital environment is extremely important. The article substantiates the necessity of using an interdisciplinary conceptual approach to this task, which is a complex combination of economic and political methods. Political-economic situational analysis is one of the most relevant methods for performing the designated task. One of the advantages of using this type of analysis is the stability of its results to changes in the political and economic environment. If you are using political-economic situational analysis to study the development, adoption and implementation of a coordinated industrial policy should consider a number of approaches, such as normative value, system and network. Scientific novelty of the research is that the authors propose and justify the interdisciplinary approach combining political and economic analysis in the development of a model for coordination of economic interests of subjects of industrial policy. The obtained results can be the basis for a new approach to strategic planning of development of both the region and the country as a whole and have practical relevance to public authorities in developing relevant strategic documents, as well as for businesses in their interaction with authorities.







References:
. [] . (in Russian).
Akhremenko A.S., Lokshin I.M., Yureskul E.A. (2015). Ekonomicheskiy rost i vybor politicheskogo kursav avtoritarnyh rezhimakh: "nedostayushchee zveno [Economic growth and political choice Kursiv authoritarian regimes: the missing link]. Politiya: Analiz. Khronika. Prognoz. (3). 50-74. (in Russian).
Akhremenko A.S., Petrov A.P., Filippov I.B. (2018). Stabilnost i vyzhivanie demokratiy: ot gipotezy Lipseta k proizvoditelnosti ekonomiki [The stability and survival of democracies: from the Lipset hypothesis to the performance of the economy]. Politiya: Analiz. Khronika. Prognoz. (3). 87-112. (in Russian).
Baena F., Guarina A., Mora J., Sauza J., Retat S. (2017). Learning Factory: The Path to Industry 4.0 Proceedings of the 7th Conference on Learning Factories. 73-80.
Bailey A., Schonhardt-Bailey Ch. (2008). Does deliberation matter in FOMC monetary policymaking? The Volcker revolution of 1979 Political Analysis. (16). 404–427.
Carrubba C.J., Yuen A., Zorn Ch. (2007). In defense of comparative statics: Specifying empirical tests of models of strategic interaction Political Analysis. (15). 465-482.
Degtyarev A. A. (2004). Politicheskiy analiz kak prikladnaya distsiplina: predmetnoe pole i napravleniya razvitiya [Policy Analysis as an Applied Discipline: Subject Field and Lines of Development]. Polis. Politicheskie issledovaniya. (1). 154-168. (in Russian).
Degtyarev A.A. (2010). Prikladnoy politicheskiy analiz [Applied political analysis] (in Russian).
Farr J. (1985). Situational analysis: Explanation in political science The journal of politics. (4). 1085-1107.
Grant J.T., Kelly N.J. (2008). Legislative productivity of the U.S. Congress, 1789–2004 Political Analysis. (16). 303–323. doi: 10.1093/pan/mpm035.
Imai K., Strauss A. (2011). Estimation of heterogeneous treatment effects from randomized experiments, with application to the optimal planning of the Get-Out-the-Vote campaign [Estimation of heterogeneous treatment effects from randomized experiments, with application to the optimal planning of the Get-Out-the-Vote campaign]. Political Analysis. (19). 1–19. (in Russian).
Pereira T., Barreto L., Amaral A. (2017). Network and information security challenges within Industry 4.0 paradigm [Network and information security challenges within the Industry 4.0 paradigm] Proceedings of the Manufacturing Engineering Society International Conference. 1253-1260. (in Russian).
Rap E. (2007). Cultural performance, resource flows and passion in politics: A situational analysis of an election rally in Western Mexico Journal of Latin American Studies. (39). 595-625.
Santos C., Mehrsai A., Barros A.C., Araújo M., Ares E. (2017). TowardsIndustry4.0: an overview of European strategic roadmaps Proceedings of the Manufacturing Engineering Society International Conference. 972-979.
Tjahjono B., Esplugues C., Ares E., Pelaez G. (2017). What does industry 4.0 maen to supply chain [What does industry 4.0 maen to supply chain] [Proceedings of the Manufacturing Engineering Society International Conference] . 1175-1182. (in Russian).