Open AccessPossible Assessment of the Stability and Sustainability of Modern State Systems
Author(s) -
М.В. Вилисов,
К.О. Телин,
K. Filimonov
Publication year - 2021
Publication title -
vestnik rossijskogo fonda fundamentalʹnyh issledovanij. gumanitarnye i obŝestvennye nauki/vestnik rffi. gumanitarnye i obŝestvennye nauki
Language(s) - English
Resource type - Journals
eISSN - 2587-8956
pISSN - 2587-6090
DOI - 10.22204/2587-8956-2020-102-05-76-83
Subject(s) - sustainability , government (linguistics) , corporate governance , state (computer science) , politics , conceptual framework , stability (learning theory) , management science , political science , process (computing) , economic system , transformation (genetics) , public policy , business , environmental economics , public administration , process management , computer science , economics , sociology , social science , law , ecology , philosophy , linguistics , finance , algorithm , machine learning , biology , biochemistry , chemistry , gene , operating system
Based on the analysis of scientific resources on the theory of government, political process and public policy, the authors substantiate a conceptual model for assessing the stability and sustainability of state systems. The model is based on empirical analysis of the stability and sustainability of state systems obtained through semi-structured interviews with experts. The authors’ approach includes four main parameters for assessing the stability and sustainability of state systems with the focus on the role of state institutions in coordinating modern politics. The authors emphasize that the notion of ‘transition from government to governance’ often discussed in Russian and foreign scientific literature only demonstrates the possible changes in the role of state institutions in the public area and directions of transformation of public policy, without directly imply that. In this case, it seems promising to search for such conditions that would direct the transformation, and to develop a conceptual framework for diagnosing the state systems’ capacity to change.