Journal
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS
Volume 130, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.jtice.2021.06.051
Keywords
Sector criticality index; Covid-19 pandemic; Input-output analysis; Best-worst method
Categories
Funding
- Heriot-Watt University's Global Challenges Research Fund (GCRF) [P20GCRF9]
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The article presents a systematic approach to quantify the criticality of economic sectors and rank them based on their importance. The approach uses a sector criticality index (SCI) based on five criteria, including economic impact, connectivity, sector size, income multiplier, and employment. A case study is provided to illustrate the application of the proposed approach.
Most countries have implemented lockdowns as the main non-pharmaceutical intervention in response to the global Covid-19 pandemic. Such actions have resulted in negative economic impacts on different sectors, which include manufacturing and processing industry. This concern has led to the need to develop post-lockdown exit strategies to mitigate the adverse socio-economic impacts. In this work, a systematic approach is developed to quantify the criticality of economic sectors based on a sector criticality index (SCI) and rank them based on their importance relative to the entire national economy. SCI is a weighted composite score based on five criteria which capture relevant dimensions in judging the importance of sectors: economic impact, connectivity, sector size, income multiplier, and employment. The input-output model is then used to evaluate the interaction amongst the economic sectors. The use of the proposed approach is illustrated with a case study focusing on evaluating the impact on oleo-chemical industries and associated agro-industrial sectors in Malaysia. (C) 2021 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
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