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Modelling the causal relationship between energy consumption and GDP in New Zealand, Australia, India, Indonesia, The Philippines and Thailand

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  • Fatai, K
  • Oxley, Les
  • Scrimgeour, F.G

Abstract

A number of industrialized and developing countries agreed to the terms of the Kyoto protocol to conserve energy and reduce emissions. The close relationship between energy consumption and real GDP growth suggests that energy conservation policies are likely to affect real GDP growth. In this paper, the possible impact of energy conservation policies on the New Zealand economy is examined and compared with Australia and several Asian economies. Causality between energy consumption and GDP in New Zealand is investigated as is the causal relationship between GDP and various disaggregate energy data (coal, natural gas, electricity and oil). Based on the energy data used, it appears that energy conservation policies may not have significant impacts on real GDP growth in industrialized countries such as New Zealand and Australia compared to some Asian economies.

Suggested Citation

  • Fatai, K & Oxley, Les & Scrimgeour, F.G, 2004. "Modelling the causal relationship between energy consumption and GDP in New Zealand, Australia, India, Indonesia, The Philippines and Thailand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 431-445.
  • Handle: RePEc:eee:matcom:v:64:y:2004:i:3:p:431-445
    DOI: 10.1016/S0378-4754(03)00109-5
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    References listed on IDEAS

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    1. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1996. "Testing for the 'Existence of a Long-run Relationship'," Cambridge Working Papers in Economics 9622, Faculty of Economics, University of Cambridge.
    2. Pierce, David A. & Haugh, Larry D., 1977. "Causality in temporal systems : Characterization and a survey," Journal of Econometrics, Elsevier, vol. 5(3), pages 265-293, May.
    3. Larry D. Haugh & David A. Pierce, 1977. "Causality in temporal systems: characterizations and a survey," Special Studies Papers 87, Board of Governors of the Federal Reserve System (U.S.).
    4. Asafu-Adjaye, John, 2000. "The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries," Energy Economics, Elsevier, vol. 22(6), pages 615-625, December.
    5. William Schwert, G., 1979. "Tests of causality : The message in the innovations," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 55-96, January.
    6. Les Oxley & David Greasley, 1998. "Vector autoregression, cointegration and causality: testing for causes of the British industrial revolution," Applied Economics, Taylor & Francis Journals, vol. 30(10), pages 1387-1397.
    7. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    8. Abul Masih & Rumi Masih, 1998. "A multivariate cointegrated modelling approach in testing temporal causality between energy consumption, real income and prices with an application to two Asian LDCs," Applied Economics, Taylor & Francis Journals, vol. 30(10), pages 1287-1298.
    9. Yang, Hao-Yen, 2000. "A note on the causal relationship between energy and GDP in Taiwan," Energy Economics, Elsevier, vol. 22(3), pages 309-317, June.
    10. Guilkey, David K & Salemi, Michael K, 1982. "Small Sample Properties of Three Tests for Granger-Causal Ordering in a Bivariate Stochastic System," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 668-680, November.
    11. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    12. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    13. Geweke, John & Meese, Richard & Dent, Warren, 1983. "Comparing alternative tests of causality in temporal systems : Analytic results and experimental evidence," Journal of Econometrics, Elsevier, vol. 21(2), pages 161-194, February.
    14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    15. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    16. Sadorsky, Perry, 2000. "The empirical relationship between energy futures prices and exchange rates," Energy Economics, Elsevier, vol. 22(2), pages 253-266, April.
    17. Fouquet, Roger & Pearson, Peter & Hawdon, David & Robinson, Colin & Stevens, Paul, 1997. "The future of UK final user energy demand," Energy Policy, Elsevier, vol. 25(2), pages 231-240, February.
    18. Hsiao, Cheng, 1981. "Autoregressive modelling and money-income causality detection," Journal of Monetary Economics, Elsevier, vol. 7(1), pages 85-106.
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