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Temporal Causality between Energy Consumption and Income in Six Asian Emerging Countries

Author

Listed:
  • Shuddhasattwa Rafiq
  • Ruhul A. Salim

Abstract

This article examines the short- and long-run causal relationship between energy consumption and GDP of six emerging economies of Asia. Based on cointegration and vector error correction modeling the empirical results show that there exists a unidirectional shortand long-run causality running from energy consumption to GDP for China, a unidirectional short-run causality from output to energy consumption for India, whilst a bi-directional short-run causality for Thailand. Neutrality between energy consumption and income is found for Indonesia, Malaysia and Philippines. Following causality results India may contribute to the fight against global warming directly implementing energy conservation measures. For China, where causality runs from energy consumption to output, the country should focus on technological developments and mitigation policies. Since a bi-directional causality is found in Thailand, a balanced combination of alternative policies seems to be appropriate. Nevertheless, all the countries may initiate environmental policies aimed at decreasing energy intensity, increasing energy efficiency, developing a market for emission trading.

Suggested Citation

  • Shuddhasattwa Rafiq & Ruhul A. Salim, 2009. "Temporal Causality between Energy Consumption and Income in Six Asian Emerging Countries," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 55(4), pages 335-350.
  • Handle: RePEc:aeq:aeqaeq:v55_y2009_i4_q4_p335-350
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    Citations

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    Cited by:

    1. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    2. Rafiq, Shudhasattwa & Sgro, Pasquale & Apergis, Nicholas, 2016. "Asymmetric oil shocks and external balances of major oil exporting and importing countries," Energy Economics, Elsevier, vol. 56(C), pages 42-50.
    3. Shihong Zeng & Jiuying Chen, 2016. "Forecasting the Allocation Ratio of Carbon Emission Allowance Currency for 2020 and 2030 in China," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-28, July.
    4. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2012. "Coal consumption, CO2 emission and economic growth in China: Empirical evidence and policy responses," Energy Economics, Elsevier, vol. 34(2), pages 518-528.
    5. Salim, Ruhul A. & Rafiq, Shuddhasattwa, 2012. "Why do some emerging economies proactively accelerate the adoption of renewable energy?," Energy Economics, Elsevier, vol. 34(4), pages 1051-1057.
    6. Bildirici, Melike E. & Bakirtas, Tahsin, 2014. "The relationship among oil, natural gas and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries," Energy, Elsevier, vol. 65(C), pages 134-144.
    7. repec:eee:ecmode:v:65:y:2017:i:c:p:41-50 is not listed on IDEAS
    8. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    9. Munirul H. Nabin & Sukanto Bhattacharya & Shuddhaswatta Rafiq, 2015. "Mortgage-Backed Securities (MBS): Is It a Curse or a Blessing for the Australian Home Loan Market? A Natural Experiment," Australian Economic Papers, Wiley Blackwell, vol. 54(2), pages 104-120, June.
    10. Bilgili, Faik, 2015. "Business cycle co-movements between renewables consumption and industrial production: A continuous wavelet coherence approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 325-332.

    More about this item

    Keywords

    Energy conservation; Cointegration; Error correction model; Generalized variance decompositions; Generalized impulse response functions;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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