Literature DB >> 32815012

Decarbonization of Vietnam's economy: decomposing the drivers for a low-carbon growth.

Ta Thi Huong1, Izhar Hussain Shah1,2, Hung-Suck Park3.   

Abstract

Vietnam has witnessed a rapid increase in national-level CO2 emissions due to rising urbanization, economic expansion, export growth, and industrial development. Moreover, to support the ambitious economic growth targets, reliance on and consumption of fossil fuels are increasing by each passing year. With this circumstance, this study aims to analyze the key drivers of CO2 emissions in Vietnam from 1990 to 2016 using the Kaya identity and decomposition method. Following this approach, CO2 emissions have been decomposed into five effect categories comprising population, affluence, energy intensity, fuel mix, and emission intensity. As per the results, CO2 emissions in Vietnam were mainly driven by rising affluence (58.5%) and changing fuel mix (33.2%) which have resulted from improved living standards, rapid industrial development, and higher fossil fuel consumption. Moreover, population (13.8%) and emission intensity (3.1%) exhibited a relatively lower impact on CO2 emissions during 1990-2016. However, energy intensity (- 8.7%) was the only negative driver which has resulted in the slowdown of carbon emissions in Vietnam. Based on the analysis of energy policy development, the share of renewable energy resources was still quite low in the national energy mix with higher reliance on traditional fossil fuels (mainly coal and petroleum). Therefore, to make a transition towards low-carbon economic growth, significant improvements in energy efficiency and emission intensity are necessary together with national energy mix restructuring for low-carbon economic growth.

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Keywords:  Decarbonization; Decomposition analysis; Developing countries; Energy Policy; Kaya identity; Vietnam

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Year:  2020        PMID: 32815012     DOI: 10.1007/s11356-020-10481-0

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

Review 1.  The relationship between health expenditure, CO2 emissions, and economic growth in the BRICS countries-based on the Fourier ARDL model.

Authors:  Fangjhy Li; Tsangyao Chang; Mei-Chih Wang; Jun Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2022-01-09       Impact factor: 5.190

  1 in total

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