Oil Price Fluctuations and Job Creation Sectors in East Java Province: Testing for Non-Linearity
Abstract
This research intends to trace the effects of fluctuations in Brent and WTI oil prices on the job creation sector of East Java Province. The GARCH (1,1) method is used to track the value of oil price fluctuations and the NARDL method is used to find the magnitude of the asymmetric effects. Data in the form of quarterly time series 2011Q1-2022Q4 is also used in this research. The results of the asymmetric test show that there is a significant positive influence between negative fluctuations in Brent and WTI oil prices on the job creation sector in the short-run and there is a significant negative influence between positive fluctuations in Brent and WTI oil prices in the long-run. The test results have contributed to a more complex theoretical study of the impact of oil price fluctuations on the business sector at the provincial level. The test results have produced effective recommendations for stakeholders in East Java Province, namely policymakers and business actors who need to create and use new alternative fuels in production activities. For example, using domestic oil or renewable energy so that it can reduce dependence on international oil price movements. Policymakers can also implement international oil import tariffs and quotas to curb its use.
References
Ari, A., Cergibozan, R., & Cevik, E. (2019). J-curve in Turkish bilateral trade: A nonlinear approach. International Trade Journal, 33(1), 31–53. https://doi.org/10.1080/08853908.2018.1521316.
Bahmani-Oskooee, M., & Aftab, M. (2018). Asymmetric effects of exchange rate changes on the Malaysia-China commodity trade. Economic Systems, 42(3), 470–486. https://doi.org/10.1016/j.ecosys.2017.11.004.
Bahmani-Oskooee, M., & Hajilee, M. (2009). The J-Curve at industry level: Evidence from Sweden-US trade. Economic Systems, 33(1), 83–92. https://doi.org/10.1016/j.ecosys.2008.09.001.
Bank Indonesia. (2023). Laporan Perekonomian Provinsi Jawa Timur. Surabaya: Bank Indonesia Provinsi Jawa Timur.
Barsky, R. B., & Kilian, L. (2004). Oil and the Macroeconomy Since the 1970s. Journal of Economic Perspectives, 18, 115–134. https://doi.org/10.1257/0895330042632708.arXiv:9809069v1.
Baumeister, C., & Kilian, L. (2016). Understanding the Decline in the Price of Oil since June 2014. Journal of the Association of Environmental and Resource Economists, 3, 131–158. https://doi.org/10.1086/684160.
Blanchard, O. J., & Gali, J. (2007). The Macroeconomic Effects of Oil Shocks: Why are the 2000s so different from the 1970s? NBER Working Paper 13368 , (pp. 1–77).
Blanchard, O. J., & Riggi, M. (2013). Why are the 2000s so different from the 1970s? A structural interpretation of the changes in the macroeconomic effects of oil prices. Journal of the European Economic Association, 11, 1032–1052. https://doi.org/10.1111/jeea.12029.
Bodenstein, M., Erceg, C. J., & Guerrieri, L. (2011). Oil shocks and external adjustment. Journal of International Economics, 83, 168–184. https://doi.org/10.1016/j.jinteco.2010.10. 006.
Bresnahan, T.F., Ramey, V.A., 1993. Segment shifts and capacity utilization in the U.S. automobile industry. American Economic Review 83 (2), 213–218.
Davis, S.J., Haltiwanger, J., 1996. Driving forces and employment fluctuations. NBER Working Paper No. 5775.
Davis, S. J., & Haltiwanger, J. (2001). Sectoral job creation and destruction responses to oil price changes. Journal of Monetary Economics, 48, 465–512. https://doi.org/10.1016/S0304-3932(01)00086-1.
Guo, G. (2020). Estimating the Marshall-Lerner condition of China. Journal of Economics and International Finance, 12(2), 48–56. https://doi.org/10.5897/JEIF2019.1008.
Halicioglu, F. (2007). The J-curve dynamics of Turkish bilateral trade: A cointegration approach. Journal of Economic Studies, 34(2), 103–119. https://doi.org/10.1108/01443580710745362.
Hamilton, J. (2009). Causes and Consequences of the Oil Shock of 2007-08. Technical Report National Bureau of Economic Research Cambridge, MA. URL: http://www.nber.org/papers/w15002.pdf. https://doi.org/10.3386/w15002.
Hamilton, J. D. (1983). Oil and the Macroeconomy since World War II. Journal of Political Economy, 91 , 228–248. https://doi.org/10.1086/261140.
Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica: Journal of the Econometric Society, 57, 357–384. https://doi.org/10.2307/1912559.
Hamilton, J. D. (1996). This is what happened to the oil price-macroeconomy relationship. Journal of Monetary Economics, 38, 215–220. https://doi.org/10.1016/S0304-3932(96)01282-2.
Hamilton, J. D. (2001). A Parametric Approach to Flexible Nonlinear Inference. Econometrica, 69, 537–573. https://doi.org/10.1111/1468-0262.00205.
Hamilton, J. D. (2003). What is an oil shock? Journal of Econometrics, 113, 363–398. https://doi.org/10.1016/S0304-4076(02)00207-5.
Hamilton, J. D. (2011). Historical Oil Shocks. NBER Working Paper 16790, (pp. 1–51).
Harvey, H. (2018). Bilateral J-curve between Philippines and trading partners: Linear and non-linear approach. Asian Economic and Financial Review, 8(2), 131–144. https://doi.org/10.18488/journal.aefr.2018.82.131.144.
Herrera, A. M., & Pesavento, E. (2009). Oil Price Shocks, Systematic Monetary Policy, and the “Great Moderation”. Macroeconomic Dynamics, 13, 107. https://doi.org/10.1017/S1365100508070454.
Herrera, A. M., Lagalo, L. G., & Wada, T. (2015). Asymmetries in the response of economic activity to oil price increases and decreases? Journal of International Money and Finance, 50 , 108–133. https://doi.org/10.1016/j.jimonfin.2014.09.004.
Hooker, M. A. (1996). What happened to the oil price-macroeconomy relationship? Journal of Monetary Economics, 38, 195–213. https://doi.org/10.1016/S0304-3932(96)01281-0.
Jimenez-Rodriguez, R. (2009). Oil Price Shocks and Real GDP Growth: Testing for Non-linearity. Energy Journal, 30, 1–23.
Jimenez-Rodriguez, R., & Sanchez, M. (2005). Oil price shocks and real GDP growth: empirical evidence for some OECD countries. Applied Economics, 37, 201–228. https://doi.org/10.1080/0003684042000281561.
Kilian, L. (2008). The Economic Effects of Energy Price Shocks. Journal of Economic Literature, 46 , 871–909. https://doi.org/10.1257/jel.46.4.871.
Kilian, L. (2009). Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market. American Economic Review, 99, 1053–1069. https://doi.org/10.1257/aer.99.3.1053.
Kilian, L. (2014). Oil Price Shocks: Causes and Consequences. Annual Review of Resource Economics, 6, 133–154. https://doi.org/10.1146/annurev-resource-083013-114701.
Kilian, L., & Hicks, B. (2013). Did Unexpectedly Strong Economic Growth Cause the Oil Price Shock of 2003-2008? Journal of Forecasting, 32, 385–394. https://doi.org/10.1002/for.2243.
Kilian, L., Rebucci, A., & Spatafora, N. (2009). Oil shocks and external balances. Journal of International Economics, 77, 181–194. https://doi.org/10.1016/j.jinteco.2009.01.001.
Klein, T. (2018). Trends and Contagion in WTI and Brent Crude Oil Spot and Futures Markets - The Role of OPEC in the last Decade. Working Paper, (pp. 1–28).
Kilian, L., & Vigfusson, R. J. (2011a). Are the responses of the U.S. economy asymmetric in energy price increases and decreases? Quantitative Economics, 2, 419–453. doi:10.3982/QE99.
Kilian, L., & Vigfusson, R. J. (2011b). Nonlinearities in the Oil Price-Output Relationship. Macroeconomic Dynamics, 15, 337–363. doi:10.1017/S1365100511000186.
Kilian, L., & Vigfusson, R. J. (2013). Do Oil Prices Help Forecast U.S. Real GDP? The Role of Nonlinearities and Asymmetries. Journal of Business & Economic Statistics, 31, 78–93. doi:10.1080/07350015.2012.740436.
Kim, IM., Loungani, P., 1992. The role of energy in real business cycle models. Journal of Monetary Economics 29, 173–189.
Lee, K., & Ni, S. (2002). On the dynamic effects of oil price shocks: a study using industry level data. Journal of Monetary Economics, 49, 823–852. https://doi.org/10.1016/S0304-3932(02)00114-9.
Lee, K., Ni, S., & Ratti, R. A. (1995). Oil shocks and the macroeconomy: the role of price variability. Energy Journal, 16, 39–56. https://doi.org/10.5547/ISSN0195-6574-EJ-Vol16-No4-2.
McConnel, M. M., & Perez-Quiros, G. (2000). Output Fluctuations in the United States: What Has Changed Since the Early 1980’s? The American Economic Review, 90, 1464 – 1476.
Mork, K. A. (1989). Oil and the Macroeconomy When Prices Go Up and Down: An Extension of Hamilton’s Results. Journal of Political Economy, 97, 740–744.
Olasehinde-Williams, G. (2018). An Examination of the relationship between volatility and expected Returns in the BRVM stock market, J. Int. Business Res. Market. 3 (5), 7–11, https://doi.org/10.18775/jibrm.1849-8558.2015.35.3001.
Perron, P. (1989). The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis. Econometrica, 57, 1361–1401.
Pesaran, M. H., Shin, Y., & Smith, R. J. (1996). Testing for the existence of a long-run relationship. DAE Working Papers 9622, Department of Applied Economics, University of Cambridge.
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634.
Rasche, R.H., Tatom, J.H., 1981. Energy Price Shocks, Aggregate Supply, and Monetary Policy: The Theory and International Evidence, Carnegie–Rochester Conference Series on Public Policy, 14 North-Holland Publishing Company, Amsterdam.
Raymond, J. E., & Rich, R. W. (1997). Oil and the Macroeconomy: A Markov State-Switching Approach. Journal of Money, Credit and Banking, 29, 193. https://doi.org/10.2307/2953675.
Rotemberg, J.J., Woodford, M., 1996. Imperfect competition and the effects of energy price increases on economic activity. Journal of Money, Credit and Banking 28, 549–577.
Widarjono, A. (2007). Ekonometrika: Teori dan Aplikasi untuk Ekonomi dan Bisnis [Econometrics: Theory and Applications to Economics and Business]. Ekonisia, Kampus Fakultas Ekonomi UII.
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