AN ECONOMIC PROGNOSTIC STUDY TO EXAMINE THE PRODUCTIVITY OF AGRICULTURAL SMES OF CENTRAL EUROPE DURING THE COVID-19 CRISIS

Author:

Imran Ali1ORCID,Sufyan Ali2ORCID,Tajammul Ayesha3ORCID,Gavurová Beáta1ORCID,Novák Petr2

Affiliation:

1. Centre for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Czech Republic

2. Department of Business Administration, Faculty of Management and Economics, Tomas Bata University in Zlín, Czech Republic

3. Department of Crop Science and Agroforestry, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Czech Republic

Abstract

In 2020, the COVID-19 pandemic disturbed the world's Agri-businesses. Several economies are attempting to demonstrate attempts to maintain agribusiness, the agriculture industry, and marketplaces, but distribution networks, access to markets, and affordable farm goods are still vulnerable. The poor and various disempowered populations, particularly those with lower buying power, have been harmed by the COVID-19 outbreak. This study examines the productivity of Central Europe's agricultural SMEs during the COVID-19 pandemic. A predictive model between independent and dependent factors was used to determine and forecast the index or risk for future agricultural SMEs' functioning. The Central European agricultural SMEs' performance indicators were used, such as agricultural output, production of agriculture goods and services, vegetable and horticultural products, fixed capital consumption, agriculture determinants' actual income index, absolute net agriculture business income index, and net agricultural entrepreneurial income. Our results reveal pre and post-COVID-19 agribusiness analyses and their implications for food distribution and sustainability. Our findings also revealed a widespread influence of COVID-19 on Central European areas. The study findings can help agricultural enterprises and policymakers manage the COVID-19 outbreak by providing essential recommendations and consequences.

Publisher

Vilnius Gediminas Technical University

Subject

Strategy and Management

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