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The Impact of the Digital Economy on Carbon Emissions using the STIRPAT Model

Author

Listed:
  • Bassam Abu Karaki

    (Economics Department, Al-Hussein Bin Talal University, Jordan,)

  • Omar Al_kasasbeh

    (Faculty of Business, Amman Arab University, Jordan,)

  • Abdalla Alassuli

    (Faculty of Business, Amman Arab University, Jordan,)

  • Amro Alzghoul

    (Faculty of Business, Amman Arab University, Jordan.)

Abstract

As a new economic factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of digital economy on carbon emissions by panel data from 2011 to 2021 in BRICS countries. Utilizing a variety of econometric techniques, the study's objectives were met. For instance, unit root properties are investigated using the CIPS and CADF techniques, while cointegration is examined using the panel cointegration approach of Westerlund and Edgerton (2008). The findings demonstrate the existence of a long-term correlation between carbon emissions, population, GDP, technical level, and digital economy. We propose that governments must not only implement hedging policies to reduce Carbon emissions caused by the digital economy at an early stage but also promote the development of the digital economy in order to accomplish the objective of global collaborative environmental protection.

Suggested Citation

  • Bassam Abu Karaki & Omar Al_kasasbeh & Abdalla Alassuli & Amro Alzghoul, 2023. "The Impact of the Digital Economy on Carbon Emissions using the STIRPAT Model," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 139-143, September.
    • Handle: RePEc:eco:journ2:2023-05-17
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    References listed on IDEAS

    as
    1. Omar Alkasasbeh & Ohoud Khasawneh & Amro Alzghoul, 2023. "The Nexus between Renewable Energy Consumption and Economic Growth: Empirical Evidence from Jordan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 194-199, March.
    2. Christopher F Baum, 2001. "Residual diagnostics for cross-section time series regression models," Stata Journal, StataCorp LP, vol. 1(1), pages 101-104, November.
    3. Omar Al-Kasasbeh & Amro Alzghoul & Hasan Alhanatleh, 2022. "Empirical Analysis of Air Pollution Impacts on Jordan Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 512-516, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Technical Level; Air Pollution; Westerlund and Edgerton; BRICS;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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