Application of Autoregressive Distributed Lag Model to Assess the Environmental Sustainability in Bangladesh

Authors

  • Salma Akhter Department of Statistics, University of Dhaka, Dhaka-1000, Bangladesh
  • Murshida Khanam Department of Statistics, University of Dhaka, Dhaka-1000, Bangladesh

DOI:

https://doi.org/10.3329/dujs.v71i1.65274

Keywords:

Greenhouse gas emissions, CO2 emissions, ARDL, AIC, Environmental sustainability, EKC, SDG.

Abstract

This research inspects the associations among several macroeconomic factors in Bangladesh using yearly time series data from 1971 to 2019. It also aimed to determine if the environmental Kuznets curve (EKC) hypothesis exists in Bangladesh or not. The findings from the stationarity tests reveal that all variables are ordered I (1) integrated. The ARDL model has been used to explore the longrun and short-run connections between variables in the model. In the long term, the projected findings established the existence of the Kuznets curve hypothesis in the GDP-energy nexus. According to the study, there is a U-shaped association between economic expansion and greenhouse gas emissions. Food production and energy consumption increase emissions, however using biomass does not assist the country to attain sustainability, as an increase in biomass increases greenhouse gas emissions by 1.12%. As a result, our government should explore additional renewable energy sources to restrict emissions and take the required actions in all areas to achieve environmental sustainability.

Dhaka Univ. J. Sci. 71(1): 60-68, 2023 (Jan)

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Published

2023-05-29

How to Cite

Akhter, S. ., & Khanam, M. . (2023). Application of Autoregressive Distributed Lag Model to Assess the Environmental Sustainability in Bangladesh. Dhaka University Journal of Science, 71(1), 60–68. https://doi.org/10.3329/dujs.v71i1.65274

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