Modelling the impact of manufacturability and import dependence on the efficiency of the processing industry of Ukraine

Author:

Ishchuk Svitlana,Sozanskyy LyubomyrORCID

Abstract

The article aims to model the processing industry of Ukraine in the direction of increasing its economic efficiency according to the criteria of manufacturability and self-sufficiency (i.e. reducing import dependence). The regularities of the impact of technology and import dependence on the functional efficiency of the economy’s industrial sector are revealed. The authors’ hypothesis that higher economic efficiency in processing is explained by its greater focus on high-tech processes and production with a greater degree of the processing of raw materials, as well as a lower level of dependence on imported components, has been empirically proven. With the help of correlation-regression analysis, dependence between change in structural parameters (the share of high- and medium-high-tech industries in terms of output and the share of imports for intermediate consumption) and efficiency (the share of GVA in output) is substantiated. Deterministic economic-mathematical models (solved by linear programming) for optimising output and GVA in the processing industry and intermediate consumption were built according to the criteria of increasing manufacturability and reducing import dependence, both towards increasing efficiency. Such intermediate consumption (in terms of imported and domestic components of costs) was modelled, under which the indicator of the share of GVA of Ukraine would correspond to the level in Poland. The optimised data obtained form the basis for strategic planning, as they show what the output (by manufacturability) and intermediate consumption should be to ensure the desired level of economic efficiency of the Ukrainian processing industry.

Publisher

The Pedagogical University of Cracow/Uniwersytet Pedagogiczny w Krakowie

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