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The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia

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  • Bekhet, Hussain Ali
  • Othman, Nor Salwati

Abstract

Closing the gap between economy activity and environmental quality is one of the solutions for reaching “sustainable development” in Malaysia. To do so, the cubic polynomial functional form of EKC is utilized by accommodating renewable energy into the base of the EKC model and validating its hypothesis between CO2 emissions and GDP growth for the 1971–2015 period. The F-bounds, VECM Granger causality, CUSUM, and CUSUMSQ tests are utilized. The estimated results consistently show that the inverted N-shaped EKC hypothesis holds in Malaysia. Ceteris paribus, the CO2 emissions will be declined when the GDP reach RM2841.9 billion in 2030, which is beyond the sample period. The renewable energy has a negative significant effect on CO2 emissions, and the direction of causality is running from CO2 emissions to renewable energy. Also, the GDP growth will be the remedy for environmental pollution problems and that renewable energy is one of important elements to be considered for improving environmental quality. A tighter and concentrated environmental policy is needed to direct the environment–economic growth nexus toward a downward trend. Consequently, these results may help Malaysian policymakers to establish an energy policy that guarantees a balance between economic growth and environmental prosperity.

Suggested Citation

  • Bekhet, Hussain Ali & Othman, Nor Salwati, 2018. "The role of renewable energy to validate dynamic interaction between CO2 emissions and GDP toward sustainable development in Malaysia," Energy Economics, Elsevier, vol. 72(C), pages 47-61.
    • Handle: RePEc:eee:eneeco:v:72:y:2018:i:c:p:47-61
    DOI: 10.1016/j.eneco.2018.03.028
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    Keywords

    CO2 emissions; EKC; F-bound test; VECM granger causality; Renewable energy; Malaysia;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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