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Determinants of Household Energy Choice for Cooking in Northern Sudan: A Multinomial Logit Estimation

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  • Philbert Mperejekumana

    (Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
    National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China)

  • Huan Li

    (Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
    National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China)

  • Rucong Wu

    (Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China
    Key Laboratory of Clean Production and Utilization of Renewable Energy, Ministry of Agriculture and Rural Affairs, Beijing 100083, China
    National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China)

  • Jiaxin Lu

    (School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China)

  • Obid Tursunov

    (Department of Power Supply and Renewable Energy Sources, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent 100000, Uzbekistan
    Research Institute of Forestry, Tashkent 111104, Uzbekistan)

  • Hussien Elshareef

    (Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China
    National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China
    School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China
    Department of Agricultural Engineering, College of Agriculture, University of Khartoum, Khartoum 11115, Sudan)

  • Mohamed S. Gaballah

    (National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China
    Department of Marine Environment, National Institute of Oceanography and Fisheries, NIOF, Alexandria 21556, Egypt)

  • Nsengiyumva Jean Nepo

    (College of Agriculture Animal Science and Veterinary Medicine, University of Rwanda, Kigali 4285, Rwanda)

  • Yuguang Zhou

    (Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China
    National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China
    School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China)

  • Renjie Dong

    (Bioenergy and Environment Science & Technology Laboratory, College of Engineering, China Agricultural University, Beijing 100083, China
    National Center for International Research of BioEnergy Science and Technology, Ministry of Science and Technology, Beijing 100083, China
    School of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China)

Abstract

Traditional biomass utilization is connected with negative environmental and human health impacts. However, its transition to cleaner cooking fuels is still low where the household’s fuels preferences play an important role in the process. To examine the factors that influence the household’s cooking fuel choice in Northern Sudan, a multinomial logit model (MNL) was used to analyze data collected from Kassala state in two selected districts, New Halfa and Nahr Atabara. The findings show that the most utilized fuels are still firewood and charcoal, which are used by 63.4% of all respondents. The results also revealed that socioeconomic factors have an impact on household fuel choice, where one additional unit of credit access may boost the possibility of choosing LPG by 22.7%. Furthermore, one additional level of education would reduce 5.4% of charcoal users while simultaneously raising 10% of current liquefied petroleum gas (LPG) users. Therefore, the study suggests initiating mobilization and training programs to raise awareness and encourage the usage of cleaner fuels. This study will provide policymakers with information on household cooking energy utilization while designing and developing policies related to energy. It will also contribute to the expanding body of literature concerning the transition to clean cooking fuels from traditional biomass.

Suggested Citation

  • Philbert Mperejekumana & Huan Li & Rucong Wu & Jiaxin Lu & Obid Tursunov & Hussien Elshareef & Mohamed S. Gaballah & Nsengiyumva Jean Nepo & Yuguang Zhou & Renjie Dong, 2021. "Determinants of Household Energy Choice for Cooking in Northern Sudan: A Multinomial Logit Estimation," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11480-:d:669493
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    References listed on IDEAS

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    Cited by:

    1. Wei Du & Long Chen & Yuanchen Chen, 2022. "Solid Fuel Combustion and Air Pollution: Filling the Data Gap and Future Priorities," IJERPH, MDPI, vol. 19(22), pages 1-3, November.
    2. Mperejekumana, Philbert & Shen, Lei & Gaballah, Mohamed Saad & Zhong, Shuai, 2024. "Exploring the potential and challenges of energy transition and household cooking sustainability in sub-sahara Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    3. Boqiang Lin & Kai Wei, 2022. "Does Use of Solid Cooking Fuels Increase Family Medical Expenses in China?," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    4. Wei, Kai & Lin, Boqiang, 2024. "Spatial evolution of global household clean cooking energy transition: Convergent clubs and drivers," Applied Energy, Elsevier, vol. 372(C).
    5. Emodi, Nnaemeka Vincent & Haruna, Emmanuel Umoru & Abdu, Nizam & Aldana Morataya, Sergio David & Dioha, Michael O. & Abraham-Dukuma, Magnus C., 2022. "Urban and rural household energy transition in Sub-Saharan Africa: Does spatial heterogeneity reveal the direction of the transition?," Energy Policy, Elsevier, vol. 168(C).
    6. Shittu, Ibrahim & Abdul Latiff, Abdul Rais Bin & Baharudin, Siti 'Aisyah, 2024. "Closing the clean cooking gap: Which policies and institutional qualities matter?," Energy Policy, Elsevier, vol. 185(C).

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