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

Xiuqin Zhang (), Xudong Shi, Yasir Khan (), Majid Khan, Saba Naz, Taimoor Hassan, Chenchen Wu and Tahir Rahman
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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

Sustainability, 2023, vol. 15, issue 8, 1-22

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.

Keywords: CO 2 emissions; energy intensity; natural resource rents; energy productivity; renewable energy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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