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Carbon Emissions and Income Trajectory in Eight Heterogeneous Countries: The Role of Trade Openness, Energy Consumption and Population Dynamics

Author

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  • OLUWOLE OWOYE
  • OLUGBENGA A. ONAFOWORA

Abstract

This paper examines the long-run and dynamic temporal relationships between economic growth, energy consumption, population density, trade openness, and carbon dioxide (CO2) emissions in Brazil, China, Egypt, Japan, Mexico, Nigeria, South Korea, and South Africa based on the environment Kuznets curve (EKC) hypothesis. We employ the ARDL Bounds test to cointegration and CUSUM and CUSUMSQ tests to ensure long-run cointegration and parameter stability. The estimated results show that the inverted U-shaped EKC hypothesis holds in Japan and South Korea. In the other six countries, the long-run relationship between economic growth and CO2 emissions follows an N-shaped trajectory and the estimated turning points are much higher than the sample mean. In addition, the results indicate that energy consumption Granger-causes both CO2 emissions and economic growth in all the countries. An important implication of our findings is that it would be ill-advised for the policy decision makers to adopt the EKC postulate as the conceptual basis for policies favoring economic growth unconditionally. A wide range of policy initiatives that would induce increased demand for better environment quality and its sustainability should be explored in tandem with measures to spur economic growth.

Suggested Citation

  • Oluwole Owoye & Olugbenga A. Onafowora, 2013. "Carbon Emissions and Income Trajectory in Eight Heterogeneous Countries: The Role of Trade Openness, Energy Consumption and Population Dynamics," Journal of Global Economy, Research Centre for Social Sciences,Mumbai, India, vol. 9(2), pages 87-125, June.
  • Handle: RePEc:jge:journl:921
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    Citations

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    Cited by:

    1. Paulo Reis Mourao, 2019. "The effectiveness of Green voices in parliaments: Do Green Parties matter in the control of pollution?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(2), pages 985-1011, April.
    2. Zeeshan Arshad & Jazba Akbar & Amina Shareef & Yasmeen Samia, 2016. "Energy Use, Gross Domestic Production, and CO2 Emissions in Pakistan," Bulletin of Energy Economics (BEE), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 93-97, March.
    3. Lukman O Oyelami, 2019. "Relative effects of regional and global trade on carbon emissions in ECOWAS member countries," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 22(1), pages 64-75, March.
    4. Suleman Ghaffar & Humaira Munir & Shahbaz Nawaz & Anam Javaid, 2019. "The Impact of International Trade on Economic Growth: A Case Study of Pakistan," Asian Journal of Social Sciences and Management Studies, Asian Online Journal Publishing Group, vol. 6(2), pages 15-22.
    5. Olaronke T. ONANUGA, 2017. "Elasticity of CO2 emissions with Respect to Income, Population, and Energy Use: Time Series Evidence from African Countries," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 651-670, December.

    More about this item

    Keywords

    CO2 emissions; energy consumption; economic growth; trade openness; population density; ARDL CO2 emissions; energy consumption; economic gr;
    All these keywords.

    JEL classification:

    • F18 - International Economics - - Trade - - - Trade and Environment
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • 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

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