The Development of Causal Factors Model Due to Corona Virus Disease-19 of Services Business Affecting Fiscal Policy of Thailand
Article Sidebar
Main Article Content
Abstract
The objective of this research paper is to 1) study the influence of causal factors due to corona virus disease-19 of service business affect the fiscal economy of Thailand and 2) to develop a causal factor model due to corona virus disease-19 of service business to forecast trends and fiscal stability of Thailand. The sample group used in this research is service business in Bangkok and Metropolitan area, data were collected from 440 samples of responsible managers or representatives. The research instruments were questionnaires for data analysis, inferential statistics with the method of analyzing the structural equation model and how to regressive linear equation.
The results showed that 1) the factor of direct influence due to corona virus disease-19. The affected group variable which directly and indirectly influences the economic and fiscal conditions, such as disease prevention and control according to international health rules, and groups of people who are affected it is influenced indirectly through the affected population and direct and indirect influences on economic growth variables. They were statistically significant at the 0.01 level and indirectly influenced of due to corona virus disease-19, and groups of people who are affected through disease prevention and control in accordance with international health rules and those affected; and 2) the econometrics model can explain fiscal conditions, and economic growth of the country Variable source of infection the severity of the disease preventing the transmission of pathogens shutting down the country to prevent the epidemic and anomalies of fiscal economic conditions and economic growth is related to the dependent variable statistically significant at the level of 0.01
Article Details
Views and opinions expressed in the articles published by The Journal of MCU Peace Studies, are of responsibility by such authors but not the editors and do not necessarily reflect those of the editors.
References
Baker. et al. (2020). The Unprecedented Stock Market Impact of COVID-19. Retrieved June 24, 2020, from https://www.nber.org/papers/w26945.pdf
Baker-McKenzie. (2020). COVID-19 Business Response Series. Retrieved June 5, 2020, from https://www.bakermckenzie.com/en/insight/publications/2020/04/covid19-businessresponse-series.
Bank of Thailand. (2020). Thai economy. Retrieved Feb 19, 2020, from https://www.bot.or.th/Thai/MonetaryPolicy/EconomicConditions/Pages/default.aspx.
Chanthapong, S., Musthuy, T., & Sukrueng, K. (2020). Covid-19 crisis and a health economics perspective. Retrieved Jul 24, 2020, from https://www.bot.or.th/ResearchAndPublications/articles/Pages/Article_07Jul2020.
Cheewatrakoolpong, K. (2020). Impact of COVID-19 on global supply chains and Thailand. Retrieved May 25, 2020, from http://www.thanettakij.com/content/columnist/426259.
Eichenbaum, Rebelo, & Trabandt. (2020). The Macroeconomics of Epidemics. Retrieved April 16, 2020, from https://www.nber.org/papers/w26882.pdf
Export-Import Bank of Thailand (2019). The first quarter of 2020 performance aims to expand credit and settle debt for entrepreneurs, especially SMEs in the event of COVID-19. Retrieved April 28, 2020, from http://www.exim.go.th/
Hair. et al. (2006). Multivariate data analysis. Pearson Prentice Hall: New Jersey.
Joreskog, K. G., & Sorbom. (1996). LISREL 8 Structural Equation Modeling with the SIMPLIS Command Language. Chicago: Scientific Software International.
Kapilkarn, M., & Thongsorn, N. (2020). Solving the mystery of global inflation, before and after COVID-19. Retrieved May 4, 2020, from http://www.bot.or.th/Thai/ResearchAndPublications/articles/Pages/default.aspx.
Pholphirul, P. (2020). Economic impact of Due to Corona Virus Disease-19. Retrieved Mach 24, 2020, from https://www.posttoday.com/finanace-stock/columnist/61863.
Panpiamrat, W. et al. (2015). The research project supports the survey of household debt behavior in Thailand and related flexibility estimation, Under the Thai Household Debt Monitoring Research Program and Development of Economic Models for Impact Assessment in Context of Participatory Economic Growth.Bangkok: Fiscal Policy Office Ministry of Finance.
Thitinanphong, N. (2020). Macroeconomic Conditions and Government Income Projections for Fiscal Year 2020. Retrieved April 2, 2020, from http://www.parliament.go.th/ewtadmin/ewt/parbudet/ewt_dl_ling.php?nid=685&filename=document.
