使用关键指标监测农村地区的可持续发展

IF 3.1 Q2 ENVIRONMENTAL SCIENCES
V. Shcherbak, L. Ganushchak-Yefimenko, O. Nifatova, N. Fastovets, G. Plysenko, L. Lutay, V. Tkachuk, O. Ptashchenko
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引用次数: 9

摘要

这项研究对乌克兰农村地区的可持续社会经济发展及其挑战进行了多维度分析。创造了实现可持续发展概念规定的方法。在区域一级使用指示性评价的优点是合理的。提出了如何确定农村地区可持续发展(包括经济、社会人口、劳工和环境领域)指标的方法。采用统计数据、专家评价和农村居民评价来评价农村社会经济发展水平。所提出的指标体系不仅适用于整个区域的农村,也适用于不同区域的农村。跟踪模型基于经济、数学和专家方法的一致使用:swot分析、因子分析、聚类分析和判别分析。树形图的构造允许确定每个集群的代表类型。每个样本的社会经济可持续发展模型适用于同一集群内的所有地区。从每个集群中抽取一个有代表性的样本,就有可能确定所谓的“增长点”在该区域的存在,并预测它们的发展。考虑了两种情景:最大(GRP积累增长份额为21.2%)和中等(GRP积累增长份额为10.6%)。国内生产总值(GDP)的增长将根据活动类型而有所不同:集群1(农业、狩猎和林业)增长13%;集群2(贸易、服务和家庭服务)增长21%;第三类(旅游和国际合作)增长18%;第四集群(加工业)增长8%。因此,使用关键指标来监测农村地区的可持续发展提供了一个机会,可以考虑到农村地区不同专业部门可持续发展的具体情况,这些部门将在未来支持经济和社会的高速增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of key indicators to monitor sustainable development of rural areas
This study provides a multidimensional analysis of sustainable socio-economic development and its challenges in the rural areas of Ukraine. The methodology of realization of sustainable development’s conceptual provisions was created. The advantages of using indicative assessment at the regional level were justified. The methodical approach how to define the indicators of sustainable development (including economic, socio-demographic, labor and environmental domains) of rural areas was proposed. Statistical data, experts’ and rural residents’ evaluation were used to assess the level of socio-economic development of rural areas. The proposed system of indicators is applicable not only to the rural areas of the whole region, but also to its different parts. The tracking model is based on the consistent use of economic, mathematical and expert methods: SWOT-analysis, factor, cluster and discriminant analysis. The construction of the dendrogram allows to determine the type of representative for each cluster. The modeling of sustainable socio-economic development for each sample is applicable to all areas within same cluster. A representative sample from each cluster makes it possible to identify the presence in the region of the so-called "points of growth" and to forecast their development. Two scenarios are considered: maximum (the share of GRP accumulation growth 21.2%) and moderate (the share of GRP accumulation growth 10.6%). GDP Gross Domestic Product growth will differentiate by the type of activity: cluster 1 (agriculture, hunting and forestry) 13% increase; cluster 2 (trade, service and household services) 21% increase; cluster 3 (tourism and international cooperation) 18% increase; cluster 4 (processing industry) 8% increase. Therefore, the using of key indicators for monitoring the sustainable development of rural areas provides an opportunity to take into account the specifics of sustainable development of different specialization branches of rural areas that will support high economic and social growth in the future.
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来源期刊
CiteScore
7.90
自引率
2.90%
发文量
11
审稿时长
8 weeks
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