Economic Recovery Strategy of Sectoral Industries Post-COVID-19: Input–Output Model Simulations

Firmansyah, Firmansyah and Prasetyo, Andrian Budi and Oktavilia, Shanty and Azyzia, Siti Hilmiati and Puspita, Dita Wahyu and Boykhair, Albi and Nugraha, Fadel (2023) Economic Recovery Strategy of Sectoral Industries Post-COVID-19: Input–Output Model Simulations. Economies, 11 (5). p. 151. ISSN 2227-7099

[thumbnail of economies-11-00151.pdf] Text
economies-11-00151.pdf - Published Version

Download (1MB)

Abstract

The global COVID-19 pandemic has suppressed the economy and people’s welfare, including in Indonesia and Central Java Province, as indicated by the weakening of the national economy by −2.06 percent and locally by −2.65 percent in 2020. Although the economy grew by 3.32 percent in 2021, societal welfare remains lower than in 2019, marked by an increase in unemployment and poverty throughout 2019–2021. Furthermore, the threat of COVID-19 including new variants of the virus continues to weigh on the economy, in 2022 and beyond. This study considered an industrial approach to production, based on inter-industrial linkages and policy simulations with input–output analysis. The objectives of this research are to analyze the impact of the COVID-19 pandemic on the economy of Central Java and to formulate an effective economic recovery policy for industry. The results show that the industries affected by the COVID-19 pandemic in Central Java can promote recovery of overall income in economic industry better than the leading industry and the industries with the highest output multipliers, expressed as a proportional increase in final demand for each industry. Meanwhile, the economic recovery strategy of increasing final demand in industries with high output multipliers results in a faster increase in economic output compared with increasing final demand in the affected industries or leading industries.

Item Type: Article
Subjects: Science Global Plos > Multidisciplinary
Depositing User: Unnamed user with email support@science.globalplos.com
Date Deposited: 16 Jun 2023 10:27
Last Modified: 19 Sep 2023 07:52
URI: http://ebooks.manu2sent.com/id/eprint/1153

Actions (login required)

View Item
View Item