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Does Higher Education Level Matter for The Reduction of Non-Renewable Energy Demand? Insights from the World’s Largest Greenhouse Gas Emitters

Author

Listed:
  • Mahalik , Mantu Kumar

    (Indian Institute of Technology Kharagpur, India)

  • Le, Thai-Ha

    (VinFuture Prize, VinFuture Foundation, Vietnam & IPAG Business School, France)

  • Le, Ha-Chi

    (Monash University, Australia)

  • Subhadra , Sushree

    (Indian Institute of Technology Bhilai, India)

Abstract

This study examines the impact of higher education on primary energy consumption and non-renewable energy usage for the world’s five largest greenhouse gas emitters, namely, China, the United States, India, Russia, and Japan. Autoregressive distributed lag (ARDL)-bounds testing approach to cointegration is employed to annual data series taken from the World Bank’s World Development Indicators over the period 1971-2015. The empirical findings validate a U-shaped relationship between higher education and non-renewable energy for Japan, whereas higher education level increases it for China in the long run. Higher education level appears to discourage the usage of non-renewable energy in India and Russia in the long run, but not so effective. From a policy perspective, it urges governments of these economies to provide effective environmental education and knowledge to their people so that non-renewable energy usage would be lowered for a better environmental quality.

Suggested Citation

  • Mahalik , Mantu Kumar & Le, Thai-Ha & Le, Ha-Chi & Subhadra , Sushree, 2022. "Does Higher Education Level Matter for The Reduction of Non-Renewable Energy Demand? Insights from the World’s Largest Greenhouse Gas Emitters," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(3), pages 29-56, September.
    • Handle: RePEc:ris:jecdev:0009
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    More about this item

    Keywords

    Higher Education; Energy Consumption Pattern; Top Energy Consumers; Time-series;
    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
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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