Factors Affecting Decisions to Register New Industrial Businesses
Main Article Content
Abstract
Economic growth is the ultimate goal of all the government in the world. An important driver of economic growth is the investments in new industrial businesses. Therefore, this study analyses the factors affecting the decision to register new industrial business the Vector Autoregression model (VAR). Results of this study lead to policy recommendations for the Thai.
Article Details
Section
Industrial Development Research Articles
The articles published are the opinion of the author only. The author is responsible for any legal consequences. That may arise from that article.
References
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[2] National Statistical Office. (2014). Manufacturing Industry: Executive Summary. National Statistical Office. Bangkok, Thailand [Online]. Available: http://www.nso.go.th.
[3] Office of the National Economic and Social Development Board. (2017). Thai Economic Performance in Q1 and Outlook for 2017. Office of the National Economic and Social Development Board. Bangkok, Thailand [Online]. Available: http://www.nesdb.go.th/nesdb_en/main.php?filename=Macroeconomic_Planning (in Thai).
[4] Ministry of Industry. (2017). Statistic of New Factory. Department of Industrial Works. Bangkok, Thailand [Online]. Available: http://userdb.diw.go.th/fac_month/menu.asp (in Thai).
[5] Bank of Thailand. (2017, November 30). Inflation Rate. Bank of Thailand. Bangkok, Thailand [Online]. Available: http://www.indexpr.moc.go.th/price_present/cpi/stat/others/report_core1.asp?tb=cpig_index_country&code=93&c_index=a.change_year(in Thai).
[6] Bank of Thailand. (2017, November 30). Exchange Rate. Bank of Thailand. Bangkok, Thailand [Online]. Available: https://www.bot.or.th/Thai/Statistics/FinancialMarkets/ExchangeRate/_layouts/Application/ExchangeRate/ExchangeRate.aspx# (in Thai).
[7] Bank of Thailand. (2017, November 30). Interest Rate. Bank of Thailand. Bangkok, Thailand [Online]. Available: https://www.bot.or.th/Thai/Statistics/FinancialMarkets/InterestRate/Pages/StatInterestRate.aspx (in Thai).
[8] Bank of Thailand. (2017, November 30). Wage. Bank of Thailand. Bangkok, Thailand [Online]. Available: http://www2.bot.or.th/statistics/BOTWEBSTAT.aspx?reportID=631&language=th (in Thai).
[9] Bank of Thailand. (2017, November 30). Manufacturing Production Index. Bank of Thailand. Bangkok, Thailand [Online]. Available: http://www2.bot.or.th/statistics/ReportPage.aspx?reportID=104 (in Thai).
[10] The Stock Exchange of Thailand. (2015). An analysis of basic factor. The Stock Exchange of Thailand. Bangkok, Thailand [Online]. Available: https://www.set.or.th/education/th/begin/stock_content04.pdf (in Thai).
[11] S. Sriboonchitta, “Econometrics,” Chiang Mai, 2004, pp. 575–597 (in Thai).
[12] H. C. Bjørnland, “Oil price shocks and stock market booms in an oil exporting country,” Scottish Journal of Political Economy, vol. 56, no. 2, pp. 232–254, November 2008.
[13] E. Papapetrou, “Oil price shock market, economic activity and employment in Greece,” Energy Economics, vol. 23, no. 5, pp. 511–532, September 2001.
[14] P. Punjataewakupt, (2009, December) Response of core inflation to economics variables: After adopting inflation target. Thammasat Economic Journal [Online]. 27(4), pp. 81–106, Available: http://www.econ.tu.ac.th/oldweb/doc/article/fulltext/264.pdf (in Thai).
[15] P. Pukahuta, “The term factors and lags in impacts of monetary policy transmission mechanism of Thai economics,” KKU Research Journal, vol. 11 no. 1, pp. 56–65, 2012 (in Thai).
[16] N. Karnkriangkrai, “The relations between etron index and economic factors: VAR model” M.S. thesis, Graduate School, Bangkok University, 2015 (in Thai).
