Determinant of Thailand's Finished Steel Production

Authors

  • Phichai Teeramad Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-ok
  • Patchree Chayakornsopit Faculty of Business Administration and Information Technology, Rajamangala University of Technology Tawan-ok

DOI:

https://doi.org/10.55164/ecbajournal.v17i1.268520

Keywords:

Iron and Steel Industry, Finished Steel Production, Capacity Utilization Rate, Industry Labor Productivity

Abstract

This research aims to study the determinant of Thailand's finished steel production. The factor of this study were collected by using the iron and steel industry of Thailand. The research were quarterly time series data from Q1-2014 to Q4-2 0 2 2, a total of 36 quarters. The data were also analyzed by percentage, mean, minimum, maximum, median, standard deviation, Pearson’s product moment coefficient of correlation, and enter multiple regression analysis. The results showed that labor productivity index, gross fixed capital formation, finished steel consumption quantity, finished steel export price average, the exchange rate, and finished goods inventory index factors had positive relationship with Thailand's finished steel production quantity at the significance level of 0.05. The finished steel import quantity, capacity utilization rate, and finished steel import price average factors had negative relationship with Thailand's finished steel production quantity at the significance level of 0.05. Every factor could explain the overall relationship at 89.30% with a relative coefficient (R) at the level of 0.945 and finished steel export quantity factor had no significance with Thailand's finished steel production quantity. The result can be used as guideline for promoting the steel consumption from production of the domestic steel industry and steel import reduction from the international steel industry and then, for developing efficient with the Thai steel industry and can compete the world steel industry sustainably. This research will also be beneficial for the steel industrial enterprise to apply as a guideline of Thailand's finished steel production forecasting and opportunity or limitation of manufacturing technology development in order to benefit both domestic steel consumption and foreign steel consumption.

References

Amnuaykanjanasin, A. (2018). Looking the Capacity Utilization: Determine the Investment Trend of Industrial. Retrieved from https://www.oie.go.th/assets/portals/1/fileups/2/files/ArticlesAnalysis/capu.pdf

Bank of Thailand. (2018). Monetary Policy Committee 2018: Real Effective Exchange Rate (REER). Retrieved from https://www.bot.or.th/Thai/MonetaryPolicy/MonetPolicyCommittee/MPR/BOX_MPR/BOX_MPR_22561_2.pdf

Bank of Thailand. (2022). Exchange Rate. Retrieved from https://www.bot.or.th/th/statistics/exchange-rate.html

Benjamin, A. F. (2016). The Relationship Between Inventory Management and Productivity in Ghanaian Manufacturing Industries Tutor: Prempeh College, Ghana. Internationnal Journal of Innovative Research & Development, 5(7), 25-28.

Budhari, A. (2011). Labour Productivity Index. Retrieved from https://www.ryt9.com/s/bot/1060379

Butsaenkom, P. (2012). Variable Selection in Multiple Linear Regression Analysis. The Journal of Educational Measurement Mahasarakham University, 17(1), 43-60.

Dumkum, P. (2021). Factors Affecting to Demand of Hot Rolled Steel Import from China of Thailand. Bangkok: The University of the Thai Chamber of Commerce.

Jairi, I., & Ismail, R. (2006). Technical Efficiency and Technical Change on Total Factor Productivity Growth in Malaysian Manufacturing Sector. MRPA Paper, 1966.

Janthaboon, M. (2018). Causal Relationship of Factors Influencing the Performance of Steel Industry. Journal of Yanasangvorn Research Institute, 10(1), 129-139.

Kerdphol, S. (2016). Factors Affecting Japanese Direct Investment in Automotive: Metal and Electrical Appliances Industries of Thailand. Journal of Management Science Chiangrai Rajabhat University,

(1), 80-109.

Khonkhlong, S. (2022). A study on China’s Overcapacity Problem Solving with Belt and Road Initiative: Case of the Steel Industry. Dhonburi Rajabhat University Journal, 16(1), 56-75.

Kilenthong, W. T. (2012). Factors Driving Total Factor Productivity after the Financial Crisis 1997 Bangkok. Thailand Science Research and Innovation (TSRI). (In Thai)

Kim, Y. (1999). Economic Capacity Utilization and Its Determinants: Theory and Evidence. Retrieved from https://www.jstor.org/stable/41798892

Kitjapattanapan, N. (2017). Industrial GDP Forecast. The Office of Industrial Economics.

Korkmaz, S. (2017). The Relationship Between Labor Productivity and Economic Growth in OECD Countries. Retrieved from https://ccsenet.org/journl/index.php/ijef/article/view/66863

Krungsri Research. (2022). Industry Summary Outlook 2022-2024. Krungsri Research.

Iron and Steel Institute of Thailand. (2019). Study of Steel Production Potential for the Industry Potential Report. Bangkok: Iron and Steel Institute of Thailand.

Iron and Steel Institute of Thailand. (2021). Steel Industry Yearly Report 2021. Bangkok: Iron and Steel Institute of Thailand.

Iron and Steel Institute of Thailand. (2022). Steel Industry Yearly Report 2022. Bangkok: Iron and Steel Institute of Thailand.

Office of the National Economics and Social Development Council. (2022). Productivity and Capital. Office of the National Economics and Social Development Council.

Panpiemras, P., Hirankasi, P., Kumla, J., Pringpong, S., Charusreni, Y., & Sanphawittayasiri, S. (2012). Development of Thailand Production Potential Analysis System Using Fiscal Policy. Bangkok: Fiscal Policy Office.

Phusee-orn, S. (2011). Statistical Methods for Social Sciences and Humanities. Mahasarakham University.

Ping, Y. (2014). Stress the Effect of Consumption on Production Chinese Economic Studies Volume 17, 1984 - Issue 4.

Piriyakul, M. (2001). Regression Assumption and Regression Process. Ramkhamhaeng Research Journal of Sciences and Technology, 30(2), 67-81.

Puttarak, S. (2021). Factors Affecting Small and Medium Sized Iron and Metal Industry (SMEs) Enterprises in Thailand. Journal of MCU Loei Review, 2(3), 7-21.

Rarongkham, T. (2019). Relationships Between Productivity Management Potentiality and Corporate Success of Steel Industry in Thailand. Mahasarakham University.

Rattanapisuttikul, K. (n.d.). Increasing Energy Efficiency with Hot Charge Process for Factories with Blast Furnaces Steel with Electric Arc Furnace (EAF). Department of Alternative Energy Development and Efficiency.

Sahaviriya Steel Industries Public Company Limited. (2014). Steel Situation Analysis and Explained by Management Center 2/2014. Retrieved from https://www.ssi-steel.com/wp-content/uploads/2020/10/20140814-ssi-mdna-2q2014-th.pdf

Sangsuriyaroj, T. (2018). The Economic Factors Affecting the Trading Value of Securities of Domestic Retail Investors through the Stock Exchange of Thailand. Journal of Suvarnabhumi Institute of Technology, 6(2), 429-446.

Shapiro, S.S., & Wilk, M.B. (1965). An Analysis of Variance Test for Normality Complete Samples. Biometrika: 52 (3/4), 591-611. Retrieved from http://www.jstor.org/ discover/10.2307/2333709

SCB Economic Intelligence Center. (2020). Looking the Thai Steel Industry Faces Significant Challenges both Demand and Price from the Impact of COVID-19: Encourage Entrepreneurs to Accelerate Adaptation. Retrieved from https://www.scbeic.com/th/detail/file/product/6867/fo79whsm74/EIC-Note Steel_COVID_20200609.pdf

The Office of Industrial Economics. (2020). Capacity Utilization Rate: I-Index. Retrieved from https://www.oie.go.th/assets/portals/1/fileups/2/files/ArticlesAnalysis/capu.pdf

The Office of Industrial Economics. (2021). Capacity Utilization Rate: I-Index. Retrieved from https://www.oie.go.th/assets/portals/1/fileups/2/files/ArticlesAnalysis/capu.pdf

The Office of Industrial Economics. (2022). Finished Goods Inventory Index: I-Index. Retrieved from https://data.go.th/th/dataset/48_08

Thongphakde, N., Termpaiboon, J., & Puapanwattana, P. (1999). Enhancing Competitiveness: Thailand's Economic and Trade Trends Report. International Trade Sector: Thailand Development Research Institute.

White, H. (1980). White General Heteroscedasticity Test. Retrieved from https://www. jstor.org/stable/1912934

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Published

2025-01-29

How to Cite

Teeramad, P., & Chayakornsopit, P. (2025). Determinant of Thailand’s Finished Steel Production. Economics and Business Administration Journal Thaksin University, 17(1), 93–110. https://doi.org/10.55164/ecbajournal.v17i1.268520

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Section

Research Article