
Factors Affecting CO2 Emissions from Direct Energy Household Consumption in Vietnam
DOI:
https://doi.org/10.30564/jees.v7i3.7834Abstract
The energy sector is pivotal in Vietnam’s commitment to achieving net-zero emissions by 2050. This study employs a combination of Structural Decomposition Analysis (SDA) and decoupling approaches based on data from Vietnam’s energy statistics and the Vietnam Living Standards Survey (VHLSS) for 2016, 2018, and 2020. The primary aim is to elucidate the effects of direct energy consumption by household groups on CO2 emissions, examine factors affecting emissions, and clarify the relationship between CO2 emissions from household energy consumption and economic growth in Vietnam. Research results underscore that household groups make considerable use of electricity and Liquefied Petroleum Gas (LPG), simultaneously reducing the proportion of firewood, rice husk, sawdust, agricultural by-products and other fuels. The decrease in energy intensity emerges as the primary factor in lowering household emissions, while population growth and economic efficiency exert the opposite effect. Additionally, the research reveals disparities in emissions between urban and rural areas, similarly among household groups within the given location. Despite maintaining a robust decoupling status between emissions from household consumption and economic growth, unsustainable risks persist, particularly with the increase in electricity demand. The study also highlights the uneven impact of the COVID-19 epidemic on CO2 emissions across household groups. Drawing upon these findings, several recommendations are proposed to control CO2 emissions from direct energy household consumption to facilitate the most effective household decarbonisation process while ensuring sustainable economic growth in Vietnam.
Keywords:
CO2 Emissions; Energy; Household Consumption; SDA; Decoupling Analysis; COVID Epidemic; Economic Growth; VietnamReferences
[1] Verma, P., Kumari, T., Raghubanshi, A.S., 2021. Energy emissions, consumption and impact of urban households: A review. Renewable & Sustainable Energy Reviews. 147, 111210. DOI: https://doi.org/10.1016/j.rser.2021.111210
[2] EIA, 2017. International energy outlook 2017. DOE/EIA-0484:2017, 14 September 2017. Available from: https://www.eia.gov/outlooks/ieo/pdf/0484(2017).pdf (cited 25 July 2024).
[3] Arslan, H.M., Khan, I., Latif, M.I., et al., 2022. Understanding the dynamics of natural resources rents, environmental sustainability, and sustainable economic growth: New insights from China. Environmental Science and Pollution Research. 29(39), 58746–58761. DOI: https://doi.org/10.1007/s11356-022-19952-y
[4] Budzianowski, W.M., 2018. Enhancing low-carbon economic growth by renewable energy uptake in countries with per capita gross domestic product between 10 and 20 kUSD. International Journal of Energy Technology and Policy. 14(2/3), 292. DOI: https://doi.org/10.1504/ijetp.2018.090707
[5] Loo, B.P., Banister, D., 2016. Decoupling transport from economic growth: Extending the debate to include environmental and social externalities. Journal of Transport Geography. 57, 134–144. DOI: https://doi.org/10.1016/j.jtrangeo.2016.10.006
[6] Engo, J., 2019. Decoupling analysis of CO2 emissions from transport sector in Cameroon. Sustainable Cities and Society. 51, 101732. DOI: https://doi.org/10.1016/j.scs.2019.101732.
[7] Chen, J., Wang, Y., Shi, Q., et al., 2021. An international comparison analysis of CO2 emissions in the construction industry. Sustainable Development. 29(4), 754–767. DOI: https://doi.org/10.1002/sd.2172
[8] Jiang, J., Ye, B., Zhou, N., et al., 2019. Decoupling analysis and environmental Kuznets curve modelling of provincial-level CO2 emissions and economic growth in China: A case study. Journal of Cleaner Production. 212, 1242–1255. DOI: https://doi.org/10.1016/j.jclepro.2018.12.116
[9] Rasheed, R., Tahir, F., Afzaal, M., et al., 2022. Decomposition analytics of carbon emissions by cement manufacturing – a way forward towards carbon neutrality in a developing country. Environmental Science and Pollution Research. 29(32), 49429–49438. DOI: https://doi.org/10.1007/s11356-022-20797-8
[10] European Parliament, 2022. New EU own resources: Possibilities and limitations of steering effects and sectoral policy co-benefits. PE 731.895, Day March 2022. Available from: https://www.europarl.europa.eu/RegData/etudes/STUD/2022/731895/IPOL_STU(2022)731895_EN.pdf. (cited 25 July 2024).
[11] IEA, 2019. Global energy review 2019: the latest trends in energy and emissions in 2019. April 2020. Available from: https://iea.blob.core.windows.net/assets/dc48c054-9c96-4783-9ef7-462368d24397/Global_Energy_Review_2019.pdf (cited 25 July 2024).
[12] Dietz, T., Gardner, G.T., Gilligan, J., et al., 2009. Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions. Proceedings of the National Academy of Sciences. 106(44), 18452–18456. DOI: https://doi.org/10.1073/pnas.0908738106
[13] Akadiri, S.S., Akadiri, A.C., 2020. Interaction between CO2 emissions, energy consumption and economic growth in the Middle East: Panel causality evidence. International Journal of Energy Technology and Policy. 16(2), 105. DOI: https://doi.org/10.1504/ijetp.2020.105507
[14] Cao, Q., Kang, W., Xu, S., et al., 2019. Estimation and decomposition analysis of carbon emissions from the entire production cycle for Chinese household consumption. Journal of Environmental Management. 247, 525–537. DOI: https://doi.org/10.1016/j.jenvman.2019.06.044
[15] Shigetomi, Y., Matsumoto, K., Ogawa, Y., et al., 2018. Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan. Applied Energy. 228, 2321–2332. DOI: https://doi.org/10.1016/j.apenergy.2018.07.057
[16] Kim, Y., Yoo, J., Oh, W., 2015. Driving forces of rapid CO2 emissions growth: A case of Korea. Energy Policy. 82, 144–155. DOI: https://doi.org/10.1016/j.enpol.2015.03.017
[17] Yamakawa, A., Peters, G.P., 2011. Structural decomposition analysis of greenhouse gas emissions in Norway 1990–2002. Economic Systems Research. 23(3), 303–318. DOI: https://doi.org/10.1080/09535314.2010.549461
[18] Muñoz-Repiso, J.M.C., Román, R., Ordóñez, M., 2016. Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis. Energy Policy. 89, 150–159. DOI: https://doi.org/10.1016/j.enpol.2015.11.020
[19] Wang, H., Ang, B., Su, B., 2017. A multi-region Structural Decomposition analysis of global CO2 emission intensity. Ecological Economics. 142, 163–176. DOI: https://doi.org/10.1016/j.ecolecon.2017.06.023
[20] Wei, J., Huang, K., Yang, S., et al., 2017. Driving forces analysis of energy-related carbon dioxide (CO2) emissions in Beijing: An input–output structural decomposition analysis. Journal of Cleaner Production. 163, 58–68. DOI: https://doi.org/10.1016/j.jclepro.2016.05.086
[21] Dong, F., Yu, B., Hadachin, T., et al., 2018. Drivers of carbon emission intensity change in China. Resources Conservation and Recycling. 129, 187–201. DOI: https://doi.org/10.1016/j.resconrec.2017.10.035
[22] Wang, S., Zhu, X., Song, D., et al., 2019. Drivers of CO2 emissions from power generation in China based on modified structural decomposition analysis. Journal of Cleaner Production. 220, 1143–1155. DOI: https://doi.org/10.1016/j.jclepro.2019.02.199
[23] Chen, J., Shi, Q., Zhang, W., 2022. Structural path and sensitivity analysis of the CO2 emissions in the construction industry. Environmental Impact Assessment Review. 92, 106679. DOI: https://doi.org/10.1016/j.eiar.2021.106679
[24] Wang, Q., Wang, S., 2019. A comparison of decomposition the decoupling carbon emissions from economic growth in transport sector of selected provinces in eastern, central and western China. Journal of Cleaner Production. 229, 570–581. DOI: https://doi.org/10.1016/j.jclepro.2019.04.375
[25] Li, L., Shan, Y., Lei, Y., et al., 2019. Decoupling of economic growth and emissions in China's cities: A case study of the Central Plains urban agglomeration. Applied Energy. 244, 36–45. DOI: https://doi.org/10.1016/j.apenergy.2019.03.192
[26] Chen, J., Wang, P., Cui, L., et al., 2018. Decomposition and decoupling analysis of CO2 emissions in OECD. Applied Energy. 231, 937–950. DOI: https://doi.org/10.1016/j.apenergy.2018.09.179
[27] Wu, Y., Chau, K.W., Lu, W., et al., 2018. Decoupling relationship between economic output and carbon emission in the Chinese construction industry. Environmental Impact Assessment Review. 71, 60–69. DOI: https://doi.org/10.1016/j.eiar.2018.04.001
[28] Leal, P.A., Marques, A.C., Fuinhas, J.A., 2019. Decoupling economic growth from GHG emissions: Decomposition analysis by sectoral factors for Australia. Economic Analysis and Policy. 62, 12–26. DOI: https://doi.org/10.1016/j.eap.2018.11.003
[29] Song, Y., Zhang, M., Zhou, M., 2019. Study on the decoupling relationship between CO2 emissions and economic development based on two-dimensional decoupling theory: A case between China and the United States. Ecological Indicators. 102, 230–236. DOI: https://doi.org/10.1016/j.ecolind.2019.02.044
[30] Ma, X., Ye, Y., Shi, X., et al., 2016. Decoupling economic growth from CO2 emissions: A decomposition analysis of China's household energy consumption. Advances in Climate Change Research. 7(3), 192–200. DOI: https://doi.org/10.1016/j.accre.2016.09.004
[31] Zhao, L., Zhao, T., Yuan, R., 2021. Drivers of household decarbonization: Decoupling and decomposition analysis. Journal of Cleaner Production. 289, 125154. DOI: https://doi.org/10.1016/j.jclepro.2020.125154
[32] IEA, 2017. Key world energy statistics 2017. Available from: https://doi.org/10.1787/key_energ_stat-2017-en (cited 25 July 2024).
[33] Son, H.B., Yoon, S., 2020. Reducing energy poverty: Characteristics of household electricity use in Vietnam. Energy for Sustainable Development. 59, 62–70. DOI: https://doi.org/10.1016/j.esd.2020.08.007
[34] Nguyen, T.T., Nguyen, T.T., Hoang, V., et al., 2019. Energy transition, poverty and inequality in Vietnam. Energy Policy. 132, 536–548. DOI: https://doi.org/10.1016/j.enpol.2019.06.001
[35] Komatsu, S., Ha, H.D., Kaneko, S., 2013. The effects of internal migration on residential energy consumption and CO2 emissions: A case study in Hanoi. Energy Sustainable Development/Energy for Sustainable Development. 17(6), 572–580. DOI: https://doi.org/10.1016/j.esd.2013.10.002
[36] Minh, T., Sharma, D., 2011. Vietnam's energy sector: A review of current energy policies and strategies. Energy Policy. 39(10), 5770–5777. DOI: https://doi.org/10.1016/j.enpol.2011.08.010
[37] Tran, L.N., Xuan, J., Nakagami, H., et al., 2022. Influence of household factors on energy use in Vietnam based on path analysis. Journal of Building Engineering. 57, 104834. DOI: https://doi.org/10.1016/j.jobe.2022.104834
[38] Minh, T.B., Ngoc, T.N., Van, H.B., 2023. Relationship between carbon emissions, economic growth, renewable energy consumption, foreign direct investment, and urban population in Vietnam. Heliyon. 9(6), e17544. DOI: https://doi.org/10.1016/j.heliyon.2023.e17544
[39] Ang, B., 2015. LMDI decomposition approach: A guide for implementation. Energy Policy. 86, 233–238. DOI: https://doi.org/10.1016/j.enpol.2015.07.007
[40] Li, J., 2005. A decomposition method of structural decomposition analysis. Journal of Systems Science. 18(2), 210–218.
[41] Tapio, P., 2005. Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transport Policy. 12(2), 137–151. DOI: https://doi.org/10.1016/j.tranpol.2005.01.001
[42] Nguyen, H.N.X., Nguyen, M.T., Ngô, L.N.A., et al., 2023. Economic sectors impact household income in Vietnam: A structural path analysis. Economy of Regions. 19(1), 122–135. DOI: https://doi.org/10.17059/ekon.reg.2023-1-10
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