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Analysis and Projection of Transport Sector Demand for Energy and Carbon Emission: An Application of the Grey Model in Pakistan

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  • Shujaat Abbas

    (Graduate School of Economics and Management, Ural Federal University, 620075 Yekaterinburg, Russia
    Department of Economics, Institute of Business Management, Karachi 75190, Pakistan)

  • Hazrat Yousaf

    (Department of Economics, Lasbela University of Agriculture, Water & Marine Sciences (LUAWMS), Baluchistan 90150, Pakistan)

  • Shabeer Khan

    (Department of Islamic Economics and Finance, Faculty of Political Science, Sakarya University, Serdivan 54050, Turkey)

  • Mohd Ziaur Rehman

    (Department of Finance, College of Business Administration, King Saud University, Riyadh 11587, Saudi Arabia)

  • Dmitri Blueschke

    (Department of Economics, Alpen-Adria-Universitat Klagenfurt, 9020 Klagenfurt, Austria)

Abstract

The incredible increase in carbon emissions is a major global concern. Thus, academicians and policymakers at COP26 are continuously urging to devise strategies to reduce carbon and other greenhouse gas emissions. The transportation sector is a major contributor to greenhouse gas emissions in developing countries. Therefore, this study projected an increase in fossil fuel demand for transportation and corresponding carbon dioxide emission in Pakistan from 2018 to 2030 by employing the Grey model and using annual data from 2010 to 2018. Furthermore, the determinant of fossil fuel demand is modeled using an environmental sustainability model such as stochastic regression IPAT that links environmental impact as a product of population, affluence, and technology on annual time series data spanning from 1990 to 2019. The projected values of oil demand and carbon emissions reveal an increasing trend, with average annual growth rates of 12.68% and 11.45%, respectively. The fully modified ordinary least squares (FM-OLS) findings confirmed the environmental Kuznets hypothesis. The increase in population growth emerged as the major driver for oil demand and carbon dioxide emissions, while technological advancement can reduce oil demand and corresponding carbon emissions. This study urges Pakistan to switch from oil to gas and other green energies by encouraging hybrid vehicles, as the number of vehicles on the road positively impacts the transport sector’s oil demand. Moreover, increasing economic growth and controlling the population growth rate by discouraging more children can be a valid policy for reducing oil demand and corresponding carbon emissions.

Suggested Citation

  • Shujaat Abbas & Hazrat Yousaf & Shabeer Khan & Mohd Ziaur Rehman & Dmitri Blueschke, 2023. "Analysis and Projection of Transport Sector Demand for Energy and Carbon Emission: An Application of the Grey Model in Pakistan," Mathematics, MDPI, vol. 11(6), pages 1-14, March.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1443-:d:1099163
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    1. Mansi Wang & Noman Arshed & Mubbasher Munir & Samma Faiz Rasool & Weiwen Lin, 2021. "Investigation of the STIRPAT model of environmental quality: a case of nonlinear quantile panel data analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 12217-12232, August.
    2. Muhammad Muhitur Rahman & Md Kamrul Islam & Ammar Al-Shayeb & Md Arifuzzaman, 2022. "Towards Sustainable Road Safety in Saudi Arabia: Exploring Traffic Accident Causes Associated with Driving Behavior Using a Bayesian Belief Network," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    3. Muhammad Kamran Khan & Muhammad Imran Khan & Muhammad Rehan, 2020. "The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-13, December.
    4. Muhammad, Bashir, 2019. "Energy consumption, CO2 emissions and economic growth in developed, emerging and Middle East and North Africa countries," Energy, Elsevier, vol. 179(C), pages 232-245.
    5. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    6. Zhao, Pan & Lu, Zhou & Fang, Jianchun & Paramati, Sudharshan Reddy & Jiang, Kai, 2020. "Determinants of renewable and non-renewable energy demand in China," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 202-209.
    7. Syed Aziz Ur Rehman & Yanpeng Cai & Rizwan Fazal & Gordhan Das Walasai & Nayyar Hussain Mirjat, 2017. "An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan," Energies, MDPI, vol. 10(11), pages 1-23, November.
    8. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    9. Akay, Diyar & Atak, Mehmet, 2007. "Grey prediction with rolling mechanism for electricity demand forecasting of Turkey," Energy, Elsevier, vol. 32(9), pages 1670-1675.
    10. Aysha Malik & Ejaz Hussain & Sofia Baig & Muhammad Fahim Khokhar, 2020. "Forecasting CO2 emissions from energy consumption in Pakistan under different scenarios: The China–Pakistan Economic Corridor," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 380-389, April.
    11. Yeqi An & Yulin Zhou & Rongrong Li, 2019. "Forecasting India’s Electricity Demand Using a Range of Probabilistic Methods," Energies, MDPI, vol. 12(13), pages 1-24, July.
    12. Anwar, Ahsan & Sharif, Arshian & Fatima, Saba & Ahmad, Paiman & Sinha, Avik & Khan, Syed Abdul Rehman & Jermsittiparsert, Kittisak, 2021. "The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach," MPRA Paper 108160, University Library of Munich, Germany, revised 2021.
    13. Fırat Emir & Festus Victor Bekun, 2019. "Energy intensity, carbon emissions, renewable energy, and economic growth nexus: New insights from Romania," Energy & Environment, , vol. 30(3), pages 427-443, May.
    14. Hussain, Anwar & Rahman, Muhammad & Memon, Junaid Alam, 2016. "Forecasting electricity consumption in Pakistan: the way forward," Energy Policy, Elsevier, vol. 90(C), pages 73-80.
    15. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    16. Hu, Kexiang & Sinha, Avik & Tan, Zhixiong & Shah, Muhammad Ibrahim & Abbas, Shujaat, 2022. "Achieving energy transition in OECD economies: Discovering the moderating roles of environmental governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    17. Mirza, Faisal Mehmood & Kanwal, Afra, 2017. "Energy consumption, carbon emissions and economic growth in Pakistan: Dynamic causality analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1233-1240.
    18. Hasan Saygın & Hasan V Oral & Serkan Kardaşlar, 2020. "Environmental assessment of renewable energy scenarios for a sustainable future in Turkey," Energy & Environment, , vol. 31(2), pages 237-255, March.
    19. Wu, Lifeng & Liu, Sifeng & Liu, Dinglin & Fang, Zhigeng & Xu, Haiyan, 2015. "Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model," Energy, Elsevier, vol. 79(C), pages 489-495.
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