IDEAS home Printed from
   My bibliography  Save this paper

Domestic fuel price and economic sectors in Malaysia: a future of renewable energy?


  • Jee, Hui-Siang Brenda
  • Lau, Evan
  • Puah, Chin-Hong
  • Abu Mansor, Shazali


This study empirically examines the relation between the domestic fuel prices with the ten disaggregated economic sectors in Malaysia with the spanning of data from 1990:Q1 to 2007:Q4. We found that only three sectors (agriculture, trade and other services sectors) are cointegrated with the fuel price and fuel price does Granger cause these sectors. Despite the evidence of non-cointegrated in most of the economic sectors, fuel price able to influence these sectors over a longer period. Policy recommendation from this study includes the utilization of the renewable energy (RE) as a strategic plan is the long-term solution due to the high dependency and increasing demand of energy. While energy prices have experienced some correction in response to signs of slower global growth, sufficient government enforcement and support need to be established to facilitate successful renewable energy implementation in Malaysia.

Suggested Citation

  • Jee, Hui-Siang Brenda & Lau, Evan & Puah, Chin-Hong & Abu Mansor, Shazali, 2010. "Domestic fuel price and economic sectors in Malaysia: a future of renewable energy?," MPRA Paper 22242, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:22242

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Hall, S G, 1991. "The Effect of Varying Length VAR Models on the Maximum Likelihood Estimates of Cointegrating Vectors," Scottish Journal of Political Economy, Scottish Economic Society, vol. 38(4), pages 317-323, November.
    2. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    3. Cunado, J. & Perez de Gracia, F., 2005. "Oil prices, economic activity and inflation: evidence for some Asian countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(1), pages 65-83, February.
    4. Paul W. Bauer & Susan M. Byrne, 1991. "The sectoral and regional effects of oil shocks: who's over a barrel?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Jan.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Abbas Valadkhani & William F. Mitchell, 2002. "Assessing the Impact of Changes in Petroleum Prices on Inflation and Household Expenditures in Australia," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 35(2), pages 122-132.
    8. Hamilton, James D, 1988. "A Neoclassical Model of Unemployment and the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 96(3), pages 593-617, June.
    9. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    10. Gisser, Micha & Goodwin, Thomas H, 1986. "Crude Oil and the Macroeconomy: Tests of Some Popular Notions: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(1), pages 95-103, February.
    11. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    12. Schwert, G. William, 1987. "Effects of model specification on tests for unit roots in macroeconomic data," Journal of Monetary Economics, Elsevier, vol. 20(1), pages 73-103, July.
    13. Papapetrou, Evangelia, 2001. "Oil price shocks, stock market, economic activity and employment in Greece," Energy Economics, Elsevier, vol. 23(5), pages 511-532, September.
    14. Brown, Stephen P. A. & Yucel, Mine K., 2002. "Energy prices and aggregate economic activity: an interpretative survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 193-208.
    15. Peter Ferderer, J., 1996. "Oil price volatility and the macroeconomy," Journal of Macroeconomics, Elsevier, vol. 18(1), pages 1-26.
    16. Narayan, Paresh Kumar & Narayan, Seema, 2007. "Modelling oil price volatility," Energy Policy, Elsevier, vol. 35(12), pages 6549-6553, December.
    17. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
    18. Masih , Abul M.M. & Masih, Rumi, 1994. "On the Robustness of Cointegration Tests of the Market Efficiency Hypothesis: Evidence from Six European Foreign Exchange Markets," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 47(2-3), pages 160-180.
    19. Kim, In-Moo & Loungani, Prakash, 1992. "The role of energy in real business cycle models," Journal of Monetary Economics, Elsevier, vol. 29(2), pages 173-189, April.
    20. Farzanegan, Mohammad Reza & Markwardt, Gunther, 2009. "The effects of oil price shocks on the Iranian economy," Energy Economics, Elsevier, vol. 31(1), pages 134-151, January.
    21. Chang, Youngho & Wong, Joon Fong, 2003. "Oil price fluctuations and Singapore economy," Energy Policy, Elsevier, vol. 31(11), pages 1151-1165, September.
    22. Gan, Peck Yean & Li, ZhiDong, 2008. "An econometric study on long-term energy outlook and the implications of renewable energy utilization in Malaysia," Energy Policy, Elsevier, vol. 36(2), pages 890-899, February.
    23. Lee, Kevin C & Pesaran, M Hashem & Pierse, Richard G, 1992. "Persistence of Shocks and Their," Economic Journal, Royal Economic Society, vol. 102(411), pages 342-356, March.
    24. Hooker, Mark A., 1996. "This is what happened to the oil price-macroeconomy relationship: Reply," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 221-222, October.
    25. Lee, K.C. & Paearan, M.H. & Pierse, R.G., 1991. "Persistence of Shocks and Its Sources in a Multisectorial Model of UK Output Growth," Papers 39, California Los Angeles - Applied Econometrics.
    26. Zind, Richard G., 1999. "Oil price movements and the Arabian Gulf economies: A sectoral analysis," Resources Policy, Elsevier, vol. 25(1), pages 59-67, March.
    27. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    28. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233.
    29. Rebeca Jimenez-Rodriguez & Marcelo Sanchez, 2005. "Oil price shocks and real GDP growth: empirical evidence for some OECD countries," Applied Economics, Taylor & Francis Journals, vol. 37(2), pages 201-228.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Fuel price; Economic sector; Granger causality; Renewable Energy; Growth;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:22242. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.