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The decoupling study of agricultural energy-driven CO2 emissions from agricultural sector development

  • M. A. Hossain
  • , S. Chen*
  • *Corresponding author for this work
    • Beijing Institute of Technology

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The purpose of the research paper is to investigate the relationship between agricultural development and agricultural energy-driven CO2 emissions. To achieve this purpose, we have taken Bangladesh as the subject of our case study, and appraisal is done by two methods, the Tapio decoupling method, and the logarithmic mean Divisia index method. The result discloses that Bangladesh’s agricultural sector was strongly and weakly decoupled from agricultural sector development in most of the periods between 1990 and 2017. The population factor, the agricultural energy intensity factor, and the agricultural economic activity factor are the responsible factors to increase CO2 emissions. On the other hand, the agricultural economic structure factor, the agricultural energy structure factor, and the agricultural emissions factor are accountable for the decrease of CO2 emissions. Finally, this paper provides some policies to create practical strategies for agricultural CO2 emission reduction. This research paper will help Bangladesh’s agricultural sector to form sustainable economic development.

    Original languageEnglish
    Pages (from-to)4509-4524
    Number of pages16
    JournalInternational Journal of Environmental Science and Technology
    Volume19
    Issue number5
    DOIs
    Publication statusPublished - May 2022

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 8 - Decent Work and Economic Growth
      SDG 8 Decent Work and Economic Growth

    Keywords

    • Bangladesh
    • The LMDI decompositions model
    • The Tapio decoupling model
    • The agricultural energy-driven CO emissions

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