Relationship between industrial development and energy-related industrial CO<SUB align="right">2 emissions in Bangladesh: application of ARDL and LMDI models

Md. Atikur Rahaman et al.

International Journal of Sustainable Economy2025https://doi.org/10.1504/ijse.2025.148991article
ABDC C
Weight
0.50

What the paper says

This research investigates the relationship between industrial development and CO2 emissions stemming from energy consumption in Bangladesh's industrial sector. Employing the ARDL bound test and LMDI decomposition index model, our analysis reveals that energy consumption and industrial development exert long-term positive effects on CO2 emissions. LMDI decomposition index model shows that industrial economic activity and labour factor are the two key factors driving up CO2 emissions. But only to the degree that industry energy intensity, emissions, and energy structure variables allow for the minimisation of CO2 emissions. By elucidating these relationships and proposing actionable strategies, this study contributes to the discourse on responsible industrial development amidst the imperative to combat global warming.

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https://doi.org/https://doi.org/10.1504/ijse.2025.148991

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@article{md.2025,
  title        = {{Relationship between industrial development and energy-related industrial CO<SUB align="right">2 emissions in Bangladesh: application of ARDL and LMDI models}},
  author       = {Md. Atikur Rahaman et al.},
  journal      = {International Journal of Sustainable Economy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijse.2025.148991},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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