建立一种评估、分析和预测经济主体在重大挑战下可持续发展的方法

N. Lyubushin, N. E. Babicheva, O. Kupryushina, D. I. Khanin
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引用次数: 2

摘要

主题。《俄罗斯联邦科学和技术发展战略》提到,重大挑战是指国家发展面临的困难、威胁和机遇。问题和威胁的复杂性和规模无法通过消耗更多的资源来处理、消除或解决。在评估、分析和预测经济主体在巨大挑战下的可持续发展时,应考虑到这一点。我们概述了一套用于评估、分析和预测在巨大挑战中运行的经济主体的可持续发展的方法。方法框架包括以资源为本的方法,我们在对经济主体的可持续发展进行经济分析时,建立并测试了这种方法。本文提出了一种算法,用于评估、分析和预测在巨大挑战中运行的经济主体的可持续发展。我们基于斐波那契数确定了可持续发展指标的层次和阈值,满足了在巨大挑战下的可持续发展。应该有一套主观的、工业的和技术的指标来监测国家计划和战略的执行情况以及经济运行的治理,因为这些指标可以帮助衡量大挑战在整个阶段的影响。所提出的算法将扩大经济分析方法,并突出部分和综合指标衡量储量和经济主体在大挑战时期的新操作环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Setting up a methodology for evaluating, analyzing and predicting the sustainable development of economic agents amid Grand Challenges
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.
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