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

被引:31
|
作者
Hossain, M. A. [1 ]
Chen, S. [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
关键词
The agricultural energy-driven CO2 emissions; Bangladesh; The Tapio decoupling model; The LMDI decompositions model; CARBON-DIOXIDE EMISSIONS; ENVIRONMENTAL KUZNETS CURVE; ECONOMIC-GROWTH; DECOMPOSITION ANALYSIS; CHINA; CONSUMPTION; PROVINCE; IMPACT; OUTPUT; EU;
D O I
10.1007/s13762-021-03346-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:4509 / 4524
页数:16
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