基于指数法的区域可持续发展评价模型

IF 5.6 2区 经济学 Q1 DEVELOPMENT STUDIES
S. Borodin
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引用次数: 0

摘要

在宏观经济条件不断变化的情况下,对社会经济制度发展机会的评估尤其重要。回顾分析是评估区域一级发展机会的重要步骤。本文基于构建的区域可持续发展评估模型,对2005-2019年中央联邦区、西北联邦区和南部联邦区的统计数据进行了分析。根据可持续发展的概念,这些指标分为三组:社会、经济和环境。得到了以下结果:社会指标显示,到2014年可持续发展的区域数量呈现积极态势;后来,这个数字每年都在变化,从21个到38个不等。直到2014年,经济指标显示可持续区域的数量呈负动态。在2014-2019年期间,观测到从13个单位到32个单位的突变波动。环境指标显示,平均而言,所审查的区域中有一半设法实现可持续发展。确定总体指标后,确定指标的变化率。然后构建可持续发展矩阵,其中1表示指标值同比增加或保持不变,0表示指标值同比减少。研究结果可以通过总结可持续性矩阵中各区域的值来对各地区进行排名。该研究还可作为确定经济危机、流行病、数字货币市场发展与区域可持续性指标变化等各种大规模现象之间关系的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Model for Assessing Regional Sustainable Development Based on the Index Method
Assessment of development opportunities for socio-economic systems is particularly relevant in the context of constantly changing macroeconomic conditions. A retrospective analysis is an important step in assessing development opportunities at the regional level. Based on a presented model for assess-ing regional sustainable development, the article analyses statistical data of the regions included in the Central, Northwestern and Southern Federal Districts for the period 2005-2019. According to the concept of sustainable development, the indicators were divided into three subgroups: social, economic and environ-mental. The following results were obtained. Social indicators revealed positive dynamics in the number of regions developing sustainably until 2014; later, the number changed erratically every year, ranging from 21 to 38. Economic indicators demonstrated negative dynamics in the number of sustainable regions un-til 2014. In the period 2014-2019, an abrupt fluctuation from 13 to 32 units was observed. Environmental indicators show that, on average, half of the examined regions managed to develop sustainably. After de-termining the overall index, the rate of change of the index was identified. Then, a sustainable develop-ment matrix was constructed, where 1 means that the index value increased year-on-year or remained the same, and 0 means that the index value decreased year-on-year. The findings can be used for ranking re-gions by summing up values in the region’s row of the sustainability matrix. The study may also serve as a basis for identifying the relationship between various large-scale phenomena such as the economic crisis, pandemic, the development of digital currency markets and changes in regional sustainability indicators.
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来源期刊
CiteScore
7.90
自引率
4.50%
发文量
40
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