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The Impact of Energy Intensity, Energy Productivity and Natural Resource Rents on Carbon Emissions in Morocco

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  • Xiuqin Zhang

    (School of Economics and Management, Anhui Polytechnic University, Wuhu 241000, China)

  • Xudong Shi

    (School of Economics and Management, Anhui Polytechnic University, Wuhu 241000, China)

  • Yasir Khan

    (School of Economics and Management, Anhui Polytechnic University, Wuhu 241000, China)

  • Majid Khan

    (International Business Machines Corporation (IBM), Islamabad 44000, Pakistan)

  • Saba Naz

    (International Business Machines Corporation (IBM), Pretoria 999136, South Africa)

  • Taimoor Hassan

    (School of Economics and Management, Anhui Polytechnic University, Wuhu 241000, China)

  • Chenchen Wu

    (School of Physical Education, Anhui Normal University, Wuhu 241000, China)

  • Tahir Rahman

    (Department of Management Sciences, Abdul Wali Khan University, Mardan 23200, Pakistan)

Abstract

The Moroccan government has always advocated reducing energy intensity so as to reach the target of the sustainable development. The current study presents the connection between CO 2 emission, energy intensity (EI), natural resource rents (NRRs), energy productivity (EP), and renewable energy (RE) by employing annual time-series data from 1990–2020 for Morocco. Using the ARDL model, the empirical findings illustrate that (i) increasing EI significantly contributes to carbon emissions, (ii) higher consumption of natural resources adversely affects CO 2 emissions, and (iii) EP and RE are the key factors to mitigate carbon emissions in both the short term and long term, suggesting that these two factors strengthen the considerable impact of EI and the consumption of natural resources on carbon emissions. Nevertheless, the negative environmental effects are moderately neutralized by adopting significant clean and green energy consumption within the country. The outputs of the robustness test verify the reliability of the regression results. Moreover, a one-way Granger causality running from EI, EP, RE, and NRR to CO 2 emissions indicates that any variation in these variables will cause CO 2 emissions. The present study offers the latest insights by adding EP and RE into country development and will support government policy makers in decisions related to efficiently abating CO 2 emissions.

Suggested Citation

  • Xiuqin Zhang & Xudong Shi & Yasir Khan & Majid Khan & Saba Naz & Taimoor Hassan & Chenchen Wu & Tahir Rahman, 2023. "The Impact of Energy Intensity, Energy Productivity and Natural Resource Rents on Carbon Emissions in Morocco," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6720-:d:1124805
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