Decomposition study of energy-related CO2 emissions from Bangladesh’s transport sector development

Hossain, Md. Afzal; Chen, Songsheng; Khan, Abdul Gaffar

doi:10.1007/s11356-020-10846-5

Cited by 22 publications

(11 citation statements)

References 60 publications

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“…1 reveal that in percentage form this figure reflects the progress of 43%. This result reflects the previous study of decomposition analysis (Hossain and Chen 2020;Hossain et al 2020aHossain et al , 2020bKhan et al 2021;Xiong et al 2016aXiong et al , 2016bSu et al 2017;Li and Zheng 2011;Wen et. al.…”

Section: Population Factor Effectssupporting

confidence: 91%

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

Hossain

Chen

2021

Int. J. Environ. Sci. Technol.

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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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Section: Population Factor Effectssupporting

confidence: 91%

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

Hossain

Chen

2021

Int. J. Environ. Sci. Technol.

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“…The empirical studies based on diverse samples provide evidence on transport and emission nexus. Timilsina and Shrestha (2009) for Asian economies, Chandran and Tang (2013) for ASEAN countries, Zhang and Nian (2013) for China, Saboori et al (2014) for OECD economies, Shahbaz et al (2015) for Tunisia, Saidi and Hammami (2017) for a panel of 75 economies, Danish et al (2018) and Shouket et al (2019) for Pakistan, Du et al (2019) for China, Ahmed et al (2020) for India, Isik et al (2020) for Turkey, Mangones et al (2020) for Columbia, Hossain et al (2020) for Bangladesh, and Go et al (2020) for Malaysia explored transport and environment nexus. These studies assume a symmetric relationship between transportation and emissions.…”

Section: Introductionmentioning

confidence: 99%

Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

Sohail

Ullah

Majeed

et al. 2021

Environ Sci Pollut Res

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Modern advances in nonlinear modeling have exposed that nonlinear models yield more robust results compared with linear models. Research on the effect of air-railway transportation on environmental pollution has now arrived into a new way of asymmetry analysis and captured the real issue among the nexus. This study aims to inspect the asymmetric impact of air-railway transportation on environmental pollution in Pakistan by using annual time series data from 1991 to 2019. The findings show that positive shock in air passenger carried and railway passenger carried increases carbon emissions, which implies that 1% increase in air passenger carried (railway passenger carried) enhances environmental pollution by 0.21% (0.32%) in long run in Pakistan. While positive shock in railway passengers carried increases environmental pollution and negative shock in railway passengers carried decreases the environmental pollution in the short run. The outcomes have also confirmed the short- and long-run asymmetries in Wald statistics. The findings are country-specific and it would be regionally specific.

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“…When studying the influencing factors of carbon emissions, the academic community often use the structural decomposition analysis method based on the input-output analysis model [28][29][30]. This method is based on the input-output table and fully considers the relationship between sectors.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Influencing Factors of Embodied Carbon in China’s Export Trade in the Background of “Carbon Peak” and “Carbon Neutrality”

2022

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Since China’s reform and opening up, especially after its accession to the World Trade Organization, its foreign trade has achieved fruitful results. However, at the same time, the extensive foreign trade growth model with high energy consumption and high pollution has also caused a rapid increase in carbon emissions. There is a large amount of embodied carbon emissions in the export trade. In order to achieve the strategic goals of “Carbon Peak” and “Carbon Neutrality’, and at the same time build a green trading system to achieve coordinated development of trade and the environment, it is of great significance to study embodied carbon emissions and how to decouple them with China’s foreign trade. This paper uses the Logarithmic Mean Divisia Index method to decompose the influencing factors of the embodied carbon in China’s export trade in order to study the impact of three factors: export scale, export structure, and carbon emission intensity. The results show that the change in export scale is the most important factor affecting the embodied carbon of China’s export trade, and the expansion of export scale has caused the growth of trade embodied carbon. Carbon emission intensity is the second influential factor, and the decline in carbon intensity would slow down the growth of trade embodied carbon, while changes in the export structure have the smallest impact on trade embodied carbon. The high carbonization of the overall export structure will cause growth of trade embodied carbon, but the tertiary industry has seen some improvement in the export structure, which could facilitate the decline of trade embodied carbon.

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Decomposition study of energy-related CO2 emissions from Bangladesh’s transport sector development

Cited by 22 publications

References 60 publications

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

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

Pakistan management of green transportation and environmental pollution: a nonlinear ARDL analysis

Analysis of Influencing Factors of Embodied Carbon in China’s Export Trade in the Background of “Carbon Peak” and “Carbon Neutrality”

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