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Mitigating greenhouse gas emissions from agriculture in Benin: spatial estimation and reduction options

Author

Listed:
  • Iskid Jacquet

    (China University of Geosciences)

  • Jianjun Zhang

    (China University of Geosciences
    Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources)

  • Ke Wang

    (Aerospace Information Research Institute, Chinese Academy of Sciences)

  • Sen Liang

    (China University of Geosciences)

  • Shu Fu

    (China University of Geosciences)

  • Shidong Liu

    (China University of Geosciences)

Abstract

Greenhouse gas (GHG) emissions from agricultural activities have a significant impact on global climate change. Benin, a country in West Africa, relies heavily on agriculture, particularly cotton, maize, and rice cultivation. The study aims to estimate GHG emissions across 77 communities in Benin from 2000 to 2019 with a focus on cotton, maize, and rice cultivation. The study utilizes the Integrated Versatile Estimation System (IVES) and the IPCC's T1 estimation recommendations to estimate GHG emissions. The local spatial Moran index is used to identify factors affecting GHG emissions, including population density and education levels in communities. The study reveals that N2O emissions from cotton, maize, and rice cultivation have significantly increased over time, with high GHG concentrations observed in northern Benin and lower concentrations in the south. Moreover, the study finds that population density and education levels in communities are crucial factors determining agricultural GHG emissions. Higher population densities are associated with lower emissions, and higher education levels are associated with lower emissions, indicating better knowledge and adoption of sustainable agricultural practices. This research offers valuable insights into the factors driving agricultural GHG emissions in Benin, and it provides policy recommendations to reduce emissions and mitigate the impact of climate change. As agriculture is a vital sector for many countries globally, these findings are useful in efforts to reduce emissions in the agricultural sector worldwide.

Suggested Citation

  • Iskid Jacquet & Jianjun Zhang & Ke Wang & Sen Liang & Shu Fu & Shidong Liu, 2025. "Mitigating greenhouse gas emissions from agriculture in Benin: spatial estimation and reduction options," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 7325-7346, March.
    • Handle: RePEc:spr:endesu:v:27:y:2025:i:3:d:10.1007_s10668-023-04195-9
    DOI: 10.1007/s10668-023-04195-9
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    References listed on IDEAS

    as
    1. Iskid Jacquet & Jieyong Wang & Jianjun Zhang & Ke Wang & Sen Liang, 2022. "An Understanding of Education in Supporting Cotton Production: An Empirical Study in Benin, West Africa," Agriculture, MDPI, vol. 12(6), pages 1-16, June.
    2. Tongwane, Mphethe Isaac & Moeletsi, Mokhele Edmond, 2018. "A review of greenhouse gas emissions from the agriculture sector in Africa," Agricultural Systems, Elsevier, vol. 166(C), pages 124-134.
    3. Ying Sun & Long Qian & Zhi Liu, 2022. "The carbon emissions level of China’s service industry: an analysis of characteristics and influencing factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13557-13582, December.
    4. Wang, Guofeng & Deng, Xiangzheng & Wang, Jingyu & Zhang, Fan & Liang, Shiqi, 2019. "Carbon emission efficiency in China: A spatial panel data analysis," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    5. Fabien Muhirwa & Lei Shen & Ayman Elshkaki & Kgosietsile Velempini & Hubert Hirwa & Shuai Zhong & Aderiana Mutheu Mbandi, 2021. "Decoupling Energy, Water, and Food Resources Production from GHG Emissions: A Footprint Perspective Review of Africa from 1990 to 2017," Energies, MDPI, vol. 14(19), pages 1-20, October.
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