Estimating the multiple impacts of technical progress on Bangladesh’s manufacturing and industrial sector’s CO2 emissions: A quantile regression approach

Abstract

Technological progress has a positive footprint on the global economy, and this can curb carbon emissions. This study aims to estimates the technical progress and CO2 emissions from Bangladesh’s manufacturing and industrial sector covering the period 1980 to 2018. We carried a quantile regression model to analyze the impact of technological progress on CO2 emissions and to establish the association among the variables. The study’s empirical outcomes are: First, the model’s R-square reaches 0.9, which suggests that these models clarify the driving factor of carbon emissions more than 90%. Second, the manufacturing sectors’ technological progress has a positive impact while the industrial sectors’ technological progress has mix impact on CO2 emissions. Third, the estimated CO2 emissions growth is rising with lower environmental effects from 2019 to 2040. Fourth, the estimations and policies might help Bangladesh contribute to improving management capability, technical development, public awareness, energy-saving technologies, energy efficiency measures, and supporting green technology in both sectors. Further policies are given below, which will assist Bangladesh’s policymakers in acknowledging appropriately.

Keywords

• CO2 emissions
• Quantile regression
• Industrial and manufacturing sectors
• Bangladesh