Smart Agro-Clustering Based on the Chain "Education-Science-Business" for Sustainable Development

Author:

Bashynska Iryna,Kichuk Yaroslav,Danylyuk et. al. Serhiy

Abstract

The rapid development of technologies has made their adjustments in absolutely all universe processes. The accelerating pace of technology development, and constant crisis phenomena direct all interested parties towards clustering. The study is devoted to studying theoretical and methodological developments regarding clustering, the analysis of the current state of the course of sustainable development chosen by Ukraine and the achievement of goals within its framework. A special place is given to the aspect of financial regulation of creating an agricultural cluster. The analysis showed the need to improve the established clustering chain by adding schools as cluster members at the initial stage. The authors proposed and clearly presented a scheme of interaction between stakeholders in a Smart-cluster and described why this agrarian cluster could be considered smart. The resulting synergistic effect of creating a cluster is not only in increasing the efficiency of its work as a whole compared to the efficiency of individual participants but also in the mutual strengthening of competitive positions. To improve the financial regulation of creating a smart agrarian cluster, the authors proposed an algorithm that would allow the most efficient allocation of money depending on priorities. Forecasting needs to be reviewed periodically because it is planned that at the initial stage, the smart cluster will be financed by “locomotives”, i.e. profitable industries/enterprises; in the future, financing will fall on the shoulders of promising highly profitable non-resource high-tech industries/enterprises.

Publisher

Academic Research Publishing Group (Publications)

Subject

Plant Science,Soil Science,Agronomy and Crop Science,Animal Science and Zoology,Food Science,Forestry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3