Pandemic Shock and Economic Variables Responses in ASEAN Countries Using Panel Vector Autoregressive Model

Retnasih, Nora Ria; Herdianti, Yulia Maris

doi:10.23917/jep.v24i1.19850

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…The reason is that more money is chasing the same number of goods. (Retnasih & Herdianti, 2023) find that money supply significantly affects inflation and the unemployment rate at lags 1 and 2. Historical examples such as the US confederacy 1862-65, German Hyperinflation 1923, Zimbabwe 2008, and the US economy 2020-21 have shown an increase in inflation due to the money supply.…”

Section: Introductionmentioning

confidence: 90%

Monetary Policy Credibility and Economic Growth: A Comparative Analysis of COMESA and ECOWAS Countries

Aboyitungiye,

Mathu

2023

JEP

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The study aims to highlight the effect of the credibility of monetary policy on economic growth concerning the COMESA compared with the ECOWAS economies. Those groups of countries are reached throughout the monetary policy credibility measurement to get an insight into whether the monetary policy is at the origin of the economic growth level of the country. The dynamic panel data consists of 5 years, from 2015 to 2020, for 11 countries of COMESA and ECOWAS. The findings from the two-system-GMM approach show a significant positive effect of the monetary policy credibility on economic growth in the COMESA region. On the other hand, the monetary policy credibility has an insignificant impact on the economic growth in the ECOWAS region. The findings lead us to recommend to the policymakers of central banks to ensure that they choose the appropriate monetary policy to return to growth, full employment and price stability.

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Section: Introductionmentioning

confidence: 90%

Monetary Policy Credibility and Economic Growth: A Comparative Analysis of COMESA and ECOWAS Countries

Aboyitungiye,

Mathu

2023

JEP

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“…However, the Covid-19 outbreak, which was first detected in Wuhan, China, at the end of December 2019 (Rahmayani et al, 2021), has had a significant impact on rural tourism and tourist villages in Indonesia. The Covid-19 pandemic is the largest in history and its impact is evenly distributed throughout the world, both developing and developed countries, none of which were immune from the shock (Retnasih & Herdianti, 2023). However, from mid-2019 to the end of 2021, rural tourism experienced a drastic decline as a result of the Covid-19 pandemic (Sasongko et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Measuring Economic Resilience of Tourism Villages: A Spatiotemporal Analysis of Pre and Post-Covid-19 Pandemic

Ariyani,

Fauzi,

Suherlan

2023

JEP

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Tourist village plays an important role in rural development in Indonesia. Nevertheless, tourist village is also prone to external shocks such as national and global economic volatilities and recent public health events of the Covid-19 pandemic. This study attempts to analyze a temporal variations of tourist village economic resilience from pandemic shock in 24 tourist village destinations covering the period of 2019-2022 in Indonesia. A synthetic composite index of the Adjusted Mazziotta-Pareto Index (AMPI) was used to measure resilience, followed by clustering analysis to determine the typology of the resilience. The resilience index was composed of capacity and performance dimension related to resilience. The results show that most villages were severely affected in the first year of Covid-19, yet they recovered afterward, as indicated by positive differences in the AMPI index before and after Covid-19. This result shows that tourist villages in Indonesia have a tendency of strong capacity and performance to recover from the pandemic shock. The economic components of the capacity and performance were able to readjust after the pandemic indicating that these components are relatively adaptable to the shocks. The indicator that has the most significant influence on the typology of resilience in the performance dimension is the number of visitors. Meanwhile, the Development Village Index (DVI) indicator is the most significant influence on the capacity dimension.

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Pandemic Shock and Economic Variables Responses in ASEAN Countries Using Panel Vector Autoregressive Model

Cited by 2 publications

References 27 publications

Monetary Policy Credibility and Economic Growth: A Comparative Analysis of COMESA and ECOWAS Countries

Monetary Policy Credibility and Economic Growth: A Comparative Analysis of COMESA and ECOWAS Countries

Measuring Economic Resilience of Tourism Villages: A Spatiotemporal Analysis of Pre and Post-Covid-19 Pandemic

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