Experience of administrative and legal support for control and supervision

Autor: Kateryna Bortniak, Olga Merdova, Volodymyr Tsomra, Nina Daraganova, Ruslan Mykhailov
Rok vydání: 2023
Předmět:
Zdroj: Revista Amazonia Investiga. 12:289-298
ISSN: 2322-6307
DOI: 10.34069/ai/2023.63.03.27
Popis: The aim of this article is to analyse the experience of the EU countries regarding the administrative and legal support for control and supervision in the context of Ukraine’s accession to the EU. The main methods of research in the article are methods of structural construction, analytical substantiation, and logical construction. The development and implementation of a new public administration policy was determined in the article as one of the most important vectors for the modernization of public administration. It reduces the relativity and number of points of contact between companies and the state. On the other hand, the European Community establishes a model of the number of regulatory bodies, and the conditions for Ukraine’s accession to the EU require bringing their objectives in line with European standards. When the optimization of the system of control and supervisory institutions is imperfect, it is fundamentally important to make a balanced acceptable decision and to avoid an imbalance in the work of state control and supervisory bodies. Based on the conducted research, a list of measures to reduce control and regulatory activities in the context of Ukraine’s accession to the EU was made. At the same time, regulatory bodies are the most important guarantors of the success and sustainable development of the entire country. This determines the relevance of the research and substantiates the need to analyse the experience of the EU countries regarding administrative and legal mechanisms of supervision and control. Prospects for further research are the analysis of the effectiveness of the proposed measures, and determining a range of interested persons in order to improve the administrative and legal support for control and supervision.
Databáze: OpenAIRE