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The purpose of the research paper is to investigate the relationship between agricultural development and agricultural energydriven CO 2 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 CO 2 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 CO 2 emissions. Finally, this paper provides some policies to create practical strategies for agricultural CO 2 emission reduction. This research paper will help Bangladesh's agricultural sector to form sustainable economic development. KeywordsThe agricultural energy-driven CO 2 emissions • Bangladesh • The Tapio decoupling model • The LMDI decompositions model * S. Chen

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