N. Lyubushin, N. E. Babicheva, O. Kupryushina, D. I. Khanin
{"title":"Setting up a methodology for evaluating, analyzing and predicting the sustainable development of economic agents amid Grand Challenges","authors":"N. Lyubushin, N. E. Babicheva, O. Kupryushina, D. I. Khanin","doi":"10.24891/df.25.4.366","DOIUrl":null,"url":null,"abstract":"Subject. Mentioned in the Strategy for Scientific and Technological Development of the Russian Federation, Grand Challenges entail difficulties, threats and opportunities for the national development. The complicated nature, scale of problems and threats cannot be addressed, eliminated or resolved by multiplying resources consumed. This aspect should be taken into consideration in evaluating, analyzing and predicting the sustainable development of economic agents operating amid grand challenges.\nObjectives. We outline a methodology for a set of methods used to evaluate, analyze and predict the sustainable development of economic agents operating amid grand challenges.\nMethods. The methodological framework comprises the resource-based approach, which we set up and tested when conducting the economic analysis of the sustainable development of economic agents.\nResults. The article produced an algorithm for evaluating, analyzing and predicting the sustainable development of economic agents operating amid grand challenges. We determined sustainable development indicators throughout hierarchical levels and thresholds based on the Fibonacci numbers, which satisfy the sustainable development amid grand challenges.\nConclusions. There should be a set of subjective, industrial and technological indicators to monitor the performance of national programs and strategies and governance of economic operations, since such indicators could help gauge the impact of the grand challenge throughout its phases. The proposed algorithm will amplify the economic analysis methodology and highlight partial and integrated indicators measuring reserves and new operational environment of economic agents in the time of grand challenges.","PeriodicalId":111899,"journal":{"name":"Digest Finance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digest Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24891/df.25.4.366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Subject. Mentioned in the Strategy for Scientific and Technological Development of the Russian Federation, Grand Challenges entail difficulties, threats and opportunities for the national development. The complicated nature, scale of problems and threats cannot be addressed, eliminated or resolved by multiplying resources consumed. This aspect should be taken into consideration in evaluating, analyzing and predicting the sustainable development of economic agents operating amid grand challenges.
Objectives. We outline a methodology for a set of methods used to evaluate, analyze and predict the sustainable development of economic agents operating amid grand challenges.
Methods. The methodological framework comprises the resource-based approach, which we set up and tested when conducting the economic analysis of the sustainable development of economic agents.
Results. The article produced an algorithm for evaluating, analyzing and predicting the sustainable development of economic agents operating amid grand challenges. We determined sustainable development indicators throughout hierarchical levels and thresholds based on the Fibonacci numbers, which satisfy the sustainable development amid grand challenges.
Conclusions. There should be a set of subjective, industrial and technological indicators to monitor the performance of national programs and strategies and governance of economic operations, since such indicators could help gauge the impact of the grand challenge throughout its phases. The proposed algorithm will amplify the economic analysis methodology and highlight partial and integrated indicators measuring reserves and new operational environment of economic agents in the time of grand challenges.