Original Article

Measurement Of Relative Efficiency Levels of Southeast Asian Countries in Dealing with The Covid-19 Pandemic Over One Year

Abstract

Introduction: Handling the COVID-19 outbreak is one of the most novelties modern work is facing by many countries today. Massive outbreak needs countries efficacy and talent in creating new approaches. These approaches need to prevent the spread of the outbreak and increase the citizens' belief as the outbreak will damage the countries' functional capacity. Technical efficiency is used maximally to gain total control of the conditions. This study aims to measure the relative efficiency level of Southeast Asian countries in dealing with COVID-19 pandemic over one year. Methods: The relative efficiency level of the most successful countries in Southeast Asia in managing COVID-19 infection was determined using Frontier 4.1 through Stochastic Frontier Analysis (SFA) and Excel software. The technical efficiency of the SFA model is defined as the ratio of observed output to maximum feasible production. If the country's technical efficiency (TE) is greater than 80%, it is the most effective in Southeast Asia at managing COVID-19 infection, but if it is less than 80% or close to 0, it is inefficient. Results: This research aims at the COVID-19 epidemic in a Southeast Asian country, where the country with the highest technical efficiency score is the most efficient and indicates the country's ability to deal with the COVID-19 outbreak without any complications. Laos was ranked first (TE = 0.99901), with a technical efficiency score that was higher than that of most other Southeast Asian countries. Singapore comes in second position with a technical efficiency score of 0.99882. Brunei is in third place for COVID-19, with a technical efficiency score of 0.99870. Cambodia is in last place, with a score of 0.84675 for technical efficiency. Conclusions: Laos is the highest technical efficiency score among the southeast Asian countries. Various things that can lead to inefficiency include lack of awareness about standard operating procedures (SOP) among the causes of COVID-19 case infection in the workplace, and the community continues to increase. This condition may also be due to the lack of medication or vaccines to cure COVID-19. All communities around the world are expected to adopt standard operating procedures (SOP) such as wearing face masks, hand sanitizers, and social distance to curb the increasingly violent spread of COVID-19.

1.Ribeiro, M.H.D.M., da Silva, R.G., Mariani, V.C. and dos Santos Coelho, L., 2020. Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. Chaos, Solitons & Fractals, 135, p.109853.
2.Alimadadi, A., Aryal, S., Manandhar, I., Munroe, P.B., Joe, B. and Cheng, X., 2020. Artificial intelligence and machine learning to fight COVID-19.
3.Liu, Z., Magal, P., Seydi, O. and Webb, G., 2020. Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data. arXiv preprint arXiv:2002.12298.
4.Liu, L., Chen, Y. and Wu, L., 2020. Forecasting Confirmed Cases, Deaths, and Recoveries from COVID-19 in China during the Early Stage. Mathematical Problems in Engineering, 2020.
5.Hamzah, F.B., Lau, C., Nazri, H., Ligot, D.V., Lee, G., Tan, C.L., Shaib, M.K.B.M., Zaidon, U.H.B., Abdullah, A.B. and Chung, M.H., 2020. CoronaTracker: worldwide COVID-19 outbreak data analysis and prediction. Bull World Health Organ, 1(32).
6.Park, H., Lee, M. and Ahn, J.M., 2021. Bottom‐up solutions in a time of crisis: the case of Covid‐19 in South Korea. R&D Management, 51(2), pp.211-222.
7.Sarkar, S., 2021. Breaking the chain: Governmental frugal innovation in Kerala to combat the COVID-19 pandemic. Government Information Quarterly, 38(1), p.101549.
8.Aigner, Lovell, Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometric. 1977;6(1):21-37.
9.Battese GE, Coelli TJ. Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis. 1992;3(2):153–169.
10.Battese GE, Corra G. Estimation of a production frontier model: with application to the pastoral zone of eastern Australia, Australian Journal of Agricultural Economics. 1977;21(2):167-179.
11.Meeusen W, van den Broeck J. Efficiency estimation from Cobb-Douglas production function with composed error. International Economic Review. 1977;18(1): 435-444.
12.Richmond J. Estimating the efficiency of production. International Economic Review. 1974;15(1):515- 521.
13.Deloitte. Deloitte Indonesia Business and Industry Updates Rising to the COVID-19 Health Care Challenge in Indonesia. 2020 [cited 2021 May 11]. Available from: https://nasional.kompas.com/read/2020/04/24/07505631/update-23-april-7775-orang-terinfeksi-covid-19-pemerintah-ungkap-basis-data.
14.Mansour H. Covid-19’s toll on Indonesia’s healthcare system. The Strategist. 2020 [cited 2021 May 11]. Available from: https://www.aspistrategist.org.au/covid-19s-toll-on-indonesias-healthcare-system/
15.Andriani H. Effectiveness of Large-Scale Social Restrictions (PSBB) toward the New Normal Era during COVID-19 Outbreak: a Mini Policy Review. Vol. 5. 2020 [cited 2021 May 11]. Available from: www.covid-19.go.id
16.Sutarsa IN. “Nine months and no progress”: what went wrong in Indonesia’s COVID-19 responses and what can be done. The conversation. 2020 [cited 2021 May 11]. Available from: https://theconversation.com/nine-months-and-no-progress-what-went-wrong-in-indonesias-covid-19-responses-and-what-can-be- done-145850
17.WHO. Philippines Coronavirus Disease 2019 (COVID-19) Situation Report #71. WHO. 2020.
18.Merez A. Luzon under enhanced community quarantine as COVID-19 cases rise. ABS-CBN News. 2020 [cited 2021 May 16]. Available from: https://news.abs-cbn.com/news/03/16/20/duterte-places-luzon-under-enhanced-community-quarantine-to-fight-covid-19
19.Wong AC. The Philippines’ struggle with COVID-19 under the Duterte administration. Asia Media Centre. 2020 [cited 2021 May 16]. Available from: https://www.asiamediacentre.org.nz/opinion/the-philippines-struggle-with-covid-19-under-the-duterte-administration/
20.Walden M. How did the Philippines overtake Indonesia as the COVID-19 epicentre of South-East Asia? ABC News. 2020 [cited 2021 May 16]. Available from: https://www.abc.net.au/news/2020-08-18/how-did-the-philippines-overtake-indonesia-as-covid-19-epicentre/12562712
21.Lucero-Prisno DE, Bernardino GD, Camua AAR, Lin X, Adebisi YA. Philippines braces for the typhoon season amidst COVID-19. Lancet Reg Heal - West Pacific. 2020 Aug 1 [cited 2021 May 16];1:100003. Available from: https://doi.org/10.1016/j.lanwpc.2020.10.
22.Bernama. WHO praises Malaysia’s handling of Covid-19 pandemic. new straits times. 2020 [cited 2021 May 17]. Available from: https://www.nst.com.my/news/nation/2020/10/632582/who-praises-malaysias-handling-covid-19-pandemic
23.Wan Muhamad AmirWAhmad, Wan Mohd Nazlee Wan Zainon, Mohamad Arif Awang Nawi FMMG. Malaysia’s Efficiency in Dealing with COVID-19 Outbreaks Compared to Other Asian Countries by Using Stochastic Frontier Analysis (SFA). Ann King Edward Med Univ. 2020 [cited 2021 May 16];26(02):324–9. Available from: https://annalskemu.org/journal/index.php/annals/article/view/3920/2343
24.DG of health. Kenyataan Akhbar KPK 4 Ogos 2020 -Situasi Semasa Jangkitan Penyakit Coronavirus 2019 (COVID-19) di Malaysia. MOH. 2020 [cited 2021 May 17]. Available from: https://kpkesihatan.com/2020/08/04/kenyataan-akhbar-kpk-4-ogos-2020-situasi-semasa-jangkitan-penyakit-coronavirus-2019-covid-19-di-malaysia/
25.The Straits Times. Malaysia’s PM Muhyiddin admits Sabah state polls in Sept caused current Covid-19 wave. The Straits Times. 2020 [cited 2021 May 17]. Available from: https://www.straitstimes.com/asia/se-asia/malaysias-pm-muhyiddin-admits-sabah-state-polls-in-sept-caused-current-covid-19-wave
26.CDC. COVID-19 in Laos - COVID-19 Low - Level 1: COVID-19 Low - Travel Health Notices. CDC. 2020 [cited 2021 May 6]. Available from: https://wwwnc.cdc.gov/travel/notices/covid-1/coronavirus-laos
27.Vijay Prashad. Laos has tackled COVID-19, but it is drowning in debt to international finance. Peoples Dispatch. 2020 [cited 2021 May 16]. Available from: https://peoplesdispatch.org/2020/07/14/laos-has-tackled-covid-19-but-it-is-drowning-in-debt-to-international-finance/
28.Johnson K. Health officials praise Laos after coronavirus-free declaration. Reuters. 2020 [cited 2021 May 6]. Available from: https://www.reuters.com/article/us-health-coronavirus-laos-idUSKBN23P1XU
29.WHO. Singapore Situation report 27 feb 2021. 2021.
30.Moss D. Singapore’s Covid Success Isn’t Easily Replicated . Bloomberg. 2021 [cited 2021 May 16]. Available from: https://www.bloomberg.com/opinion/articles/2021-01-03/singapore-s-covid-success-isn-t-easily-replicated
31.Geddie J, Aravindan A. Why is Singapore’s COVID-19 death rate the world’s lowest. Reuters. 2020 [cited 2021 May 16]. Available from: https://www.reuters.com/article/health-coronavirus-singapore-explainer-idUSKBN2680TF.
Files
IssueVol 7 No 4 (2021) QRcode
SectionOriginal Article(s)
DOI https://doi.org/10.18502/jbe.v7i4.10398
Keywords
COVID-19 Stochastic Frontier Analysis Relative Efficiency Southeast Asian

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
Nawi M, Zainon WM, Noor NF, Khamis M, Al-Rifai A, Mat Lazin M, Sulaiman I. Measurement Of Relative Efficiency Levels of Southeast Asian Countries in Dealing with The Covid-19 Pandemic Over One Year. JBE. 2021;7(4):403-412.