IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v233y2021ics0360544221014213.html
   My bibliography  Save this article

Cost-benefit analysis of gasoline demand control policies and its greenhouse gas mitigation co-benefits

Author

Listed:
  • Moradi, Mohammad Ali
  • Salimi, Mohsen
  • Amidpour, Majid

Abstract

Policy-making about gasoline in Iran has always been challenging. A LEAP model was developed through the below steps: identifying the components of the supply and demand for gasoline in Iran, gathering needed data energy-environmental modeling, designing the structure of gasoline demand and modeling the gasoline demand in Iran, planning the refining and supplying the petroleum products and entering the model data, deigning the reference scenario and validation of the model, planning, modeling, and running of the possible gasoline demand reduction scenarios in Iran. In this study, different non-price and price measures to decrease the gasoline demand in Iran are assessed based on cost-benefit analysis. With the current outlook, the price does not seem to be rising easily. Implementing each of these two scenarios will reduce greenhouse gases, respectively, by 16.93 and 24.96 million metric tonnes of carbon dioxide equivalents in 2035 compared to the baseline. With every ¢ 1 increase per cubic meter of actual natural gas price, the Net Present Value (NPV) and cost of GHG reduction under the scenario of simultaneous implementation of price measures is expected to reduce by respectively US$ 0.04 billion and US$ 0.36 per ton of carbon dioxide equivalent, respectively.

Suggested Citation

  • Moradi, Mohammad Ali & Salimi, Mohsen & Amidpour, Majid, 2021. "Cost-benefit analysis of gasoline demand control policies and its greenhouse gas mitigation co-benefits," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221014213
    DOI: 10.1016/j.energy.2021.121173
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221014213
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121173?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rivers, Nicholas & Schaufele, Brandon, 2017. "Gasoline price and new vehicle fuel efficiency: Evidence from Canada," Energy Economics, Elsevier, vol. 68(C), pages 454-465.
    2. Moshiri, Saeed & Aliyev, Kamil, 2017. "Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada," Ecological Economics, Elsevier, vol. 131(C), pages 330-341.
    3. Nieves, J.A. & Aristizábal, A.J. & Dyner, I. & Báez, O. & Ospina, D.H., 2019. "Energy demand and greenhouse gas emissions analysis in Colombia: A LEAP model application," Energy, Elsevier, vol. 169(C), pages 380-397.
    4. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    5. Sadri, A. & Ardehali, M.M. & Amirnekooei, K., 2014. "General procedure for long-term energy-environmental planning for transportation sector of developing countries with limited data based on LEAP (long-range energy alternative planning) and EnergyPLAN," Energy, Elsevier, vol. 77(C), pages 831-843.
    6. Kemausuor, Francis & Nygaard, Ivan & Mackenzie, Gordon, 2015. "Prospects for bioenergy use in Ghana using Long-range Energy Alternatives Planning model," Energy, Elsevier, vol. 93(P1), pages 672-682.
    7. Kumar, Amit & Bhattacharya, S.C & Pham, H.L, 2003. "Greenhouse gas mitigation potential of biomass energy technologies in Vietnam using the long range energy alternative planning system model," Energy, Elsevier, vol. 28(7), pages 627-654.
    8. Marrouch, Walid & Mourad, Jana, 2019. "Effect of gasoline prices on car fuel efficiency: Evidence from Lebanon," Energy Policy, Elsevier, vol. 135(C).
    9. Shabbir, Rabia & Ahmad, Sheikh Saeed, 2010. "Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model," Energy, Elsevier, vol. 35(5), pages 2323-2332.
    10. Xu, Jin-Hua & Guo, Jian-Feng & Peng, Binbin & Nie, Hongguang & Kemp, Rene, 2020. "Energy growth sources and future energy-saving potentials in passenger transportation sector in China," Energy, Elsevier, vol. 206(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhu, Y. & Wei, Z. & Li, Y.X. & Du, H.X. & Guo, Y., 2022. "Energy and atmosphere system planning of coal-dependent cities based on an interval minimax-regret coupled joint-probabilistic cost-benefit approach," Energy, Elsevier, vol. 239(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salimi, Mohsen & Moradi, Mohammad Ali & Amidpour, Majid, 2022. "Modeling and outlook analysis of gasoline supply and demand and sensitivity analysis of main economic and social drivers," Energy, Elsevier, vol. 256(C).
    2. Pedro Gerber Machado & Ana Carolina Rodrigues Teixeira & Flavia Mendes de Almeida Collaço & Adam Hawkes & Dominique Mouette, 2020. "Assessment of Greenhouse Gases and Pollutant Emissions in the Road Freight Transport Sector: A Case Study for São Paulo State, Brazil," Energies, MDPI, vol. 13(20), pages 1-26, October.
    3. Guangyong Zhang & Lixin Tian & Wenbin Zhang & Xu Yan & Bingyue Wan & Zaili Zhen, 2020. "A Study on the Similarities and Differences of the Conventional Gasoline Spot Price Fluctuation Network between Different Harbors," Sustainability, MDPI, vol. 12(2), pages 1-25, January.
    4. Zhang, Dongyu & Liu, Gengyuan & Chen, Caocao & Zhang, Yan & Hao, Yan & Casazza, Marco, 2019. "Medium-to-long-term coupled strategies for energy efficiency and greenhouse gas emissions reduction in Beijing (China)," Energy Policy, Elsevier, vol. 127(C), pages 350-360.
    5. Subramanyam, Veena & Kumar, Amit & Talaei, Alireza & Mondal, Md. Alam Hossain, 2017. "Energy efficiency improvement opportunities and associated greenhouse gas abatement costs for the residential sector," Energy, Elsevier, vol. 118(C), pages 795-807.
    6. Saket, Mohammad Javad & Maleki, Abbas & Hezaveh, Erfan Doroudgar & Karimi, Mohammad Sadegh, 2019. "Institutional analysis on impediments over fuel consumption reduction at Iran's transportation niches," Energy Policy, Elsevier, vol. 129(C), pages 861-867.
    7. El-Sayed, Ahmed Hassan A. & Khalil, Adel & Yehia, Mohamed, 2023. "Modeling alternative scenarios for Egypt 2050 energy mix based on LEAP analysis," Energy, Elsevier, vol. 266(C).
    8. Shahid, Muhammad & Ullah, Kafait & Imran, Kashif & Masroor, Neha & Sajid, Muhammad Bilal, 2022. "Economic and environmental analysis of green transport penetration in Pakistan," Energy Policy, Elsevier, vol. 166(C).
    9. Aneeque A. Mir & Mohammed Alghassab & Kafait Ullah & Zafar A. Khan & Yuehong Lu & Muhammad Imran, 2020. "A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons," Sustainability, MDPI, vol. 12(15), pages 1-35, July.
    10. Xu, Jiayi & Tan-Soo, Jie-Sheng & Chu, Yanlai & Zhang, Xiao-Bing, 2023. "Gasoline price and fuel economy of new automobiles: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
    11. Sonmez, Mustafa & Akgüngör, Ali Payıdar & Bektaş, Salih, 2017. "Estimating transportation energy demand in Turkey using the artificial bee colony algorithm," Energy, Elsevier, vol. 122(C), pages 301-310.
    12. Chen, Zhenni & Du, Huibin & Li, Jianglong & Southworth, Frank & Ma, Shoufeng, 2019. "Achieving low-carbon urban passenger transport in China: Insights from the heterogeneous rebound effect," Energy Economics, Elsevier, vol. 81(C), pages 1029-1041.
    13. Vicente Sebastian Espinoza & Veronica Guayanlema & Javier Mart nez-G mez, 2018. "Energy Efficiency Plan Benefits in Ecuador: Long-range Energy Alternative Planning Model," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 52-54.
    14. Zhao, Jingjing & Heydari, Shahram & Forrest, Michael & Stevens, Alan & Preston, John, 2023. "Investigating correlates of personal and freight road transport energy consumption: A case study of England," Journal of Transport Geography, Elsevier, vol. 112(C).
    15. Hong, Sungjun & Chung, Yanghon & Kim, Jongwook & Chun, Dongphil, 2016. "Analysis on the level of contribution to the national greenhouse gas reduction target in Korean transportation sector using LEAP model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 549-559.
    16. Mondal, Md Alam Hossain & Bryan, Elizabeth & Ringler, Claudia & Mekonnen, Dawit & Rosegrant, Mark, 2018. "Ethiopian energy status and demand scenarios: Prospects to improve energy efficiency and mitigate GHG emissions," Energy, Elsevier, vol. 149(C), pages 161-172.
    17. Rasti-Barzoki, Morteza & Moon, Ilkyeong, 2020. "A game theoretic approach for car pricing and its energy efficiency level versus governmental sustainability goals by considering rebound effect: A case study of South Korea," Applied Energy, Elsevier, vol. 271(C).
    18. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    19. Ismael Mohammed Saeed & Ahmad Tarkhany & Younis Hama & Shwan Al-Shatri, 2023. "Environmental considerations, sustainability opportunities and Iraqi government’s energy policies: a comparative study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6879-6895, July.
    20. Kumar, Subhash & Madlener, Reinhard, 2016. "CO2 emission reduction potential assessment using renewable energy in India," Energy, Elsevier, vol. 97(C), pages 273-282.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221014213. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.