Decomposition of Carbon Dioxide (CO2) Emissions in ASEAN Based on Kaya Identity

  • Vivid Amalia Khusna Universitas Airlangga
  • Deni Kusumawardani Universitas Airlangga
Keywords: CO2 emissions, kaya identity, ASEAN, decomposition, LMDI


ASEAN is a region with high carbon dioxide (CO2) emissions, accompanied by an increase in population, gross domestic product (GDP) and energy consumption. Population, GDP, and energy consumption can be linked to CO2 emissions through an identity equation called the Rich Identity. This research is based on Kaya identity to describe CO2 emissions to calculate the impact of population, economic activity, energy intensity and carbon intensity on CO2 emissions in ASEAN and 8 ASEAN countries (i.e., Indonesia, Malaysia, Singapore, Thailand, Philippines, Vietnam, Myanmar and Brunei Darussalam) from 1990 to 2017. The method used is the Logarithmic Mean Division Index (LMDI). The data used are from the International Energy Agency (IEA) and the World Bank. Four effects measured and main findings showed that population, economic activity and carbon intensity factor increased by 293.02 MtCO2, 790.0 MtCO2, and 195.51 MtCO2, respectively. Meanwhile, energy intensity effect made ASEAN's CO2 emissions decrease by 283.13 MtCO2. Regarding contributions to the increase in CO2 emissions in all ASEAN countries, the population effect increases CO2 emissions in all countries in ASEAN and the economic activity effect is also the same, except in Brunei Darussalam which makes CO2 emissions in this country decreased by 1.07 MtCO2. Meanwhile, the effects of energy and carbon intensity are different. The effect of energy intensity causes CO2 emissions in lower-middle income countries to decrease, while in upper-middle and high-income countries, it increases carbon emissions. In contrast to the effect of carbon intensity, that actually makes CO2 emissions increase in lower-middle income countries and reduces carbon emissions in upper-middle and high-income countries.


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Ahn, N., Duc, L., & Chieu, T. (2014). The evolution of Vietnamese industry. Manufacturing Transformation, 235-256.

Alam, M. M., Murad, M. W., Noman, A. H., & Ozturk, I. (2016). Relationships among carbon emissions, economic growth, energy consumption, and population growth: Testing environmental kuznets curve hypothesis for Brazil, China, India and Indonesia. Ecological Indicators, 70, 466-479.

Al-Mulali, U., Saboori, B., & Ozturk, I. (2015). Investigating the environmental kuznets curve hypothesis in Vietnam. Energy Policy, 76, 123-131.

Ang, B. W. (2005). The LMDI approach to decomposition analysis: a practical guide. Energy Policy, 33, 867-871.

ASEAN Secretariat. (2018). ASEAN key figures 2018. ASEAN Secretariat.

Bongaarts, J. (1992, Jun). Population growth and global warming. Population and Development Review, 18(2), 299-319.

British Petroleum. (2018). Statistical review of world energy.‐economics/statistical‐review‐of‐world‐energy.html.

Cansino, J. M., Sánchez-Braza, A., & Rodríguez-Arévalo, M. L. (2015). Driving forces of Spain's CO2 emissions: A LMDI decomposition approach. Renewable and Sustainable Energy Reviews, 48, 749-759.

Chung, C., Kim, K., & Piper, N. (2016). Marriage migration in Southeast and East Asia revisited through a migration-development nexus lens. Critical Asian Studies, 48(4), 463-472.

Dietz, T., & Rosa, E. (1994). Rethinking the environmental impacts of population, affluence and technology. Human Ecology Review, 1, 277-300.

Dinda, S. (2004). Environmental kuznets curve hypothesis: A survey. Ecological Economics, 49(4), 431-455.

Dobermann, T. (2016). Energy in Myanmar. International Growth Centre.

Dong, K., Hochman, G., Zhang, Y., Sun, R., Li, H., & Liao, H. (2018). CO2 emissions, economic growth, and population growth, and renewable energy: Empirical evidence across regions. Energy Economics, 75, 180-192.

Ehrlich, P. R., & Holdren, J. P. (1971). Impact of population growth. Science, 171(3977), 1212-1217.

Energy Department. (2014). Energy White Paper. Energy Department.

Energy Information Administration. (2020, March 24).

Energy Market Authority. (2018). Singapore Energy Statistics 2018. Energy Market Authority.

Engo, J. (2019). Decomposition of Cameroon's CO2 emissions from 2007 to 2014: An extended kaya identity. Environmental Science and Pollution Research, 19(16), 16695-16707.

Farhani, S., & Ozturk, I. (2015). Causal relationship between CO2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environmental Science and Pollution Research, 22, 15663–15676.

Ghazali, A., & Ali, G. (2019). Investigation of key contributors of CO2 emissions in extended STRIPAT model for newly industrialized countries: A dynamic common correlated estimator (DCCE) approach. Energy Reports, 5, 242-252.

Giambona, F., Jacono, V. L., & Scuderi, R. (2005). The IPAT model: An empirical evidence. Convegno Intermedio Della Società Italiana di Statistica (SIS), 125-128.

Gill, A. R., Viswanathan, K. K., & Hassan, S. (2018). A test of environmental kuznets curve (EKC) for carbon emission and potential of renewable energy to reduce green house gases (GHG) in Malaysia. Environment, Development and Sustainability, 20, 1103-1114.

Hatzigeorgiou, E., Polatidis, H., & Haralambopoulos, D. (2008). CO2 emissions in Greece for 1990–2002: A decomposition analysis and comparison of results using the arithmetic mean divisia index and logarithmic mean divisia index techniques. Energy, 33(3), 492-499.

Ha, T. H. (2012). Industrial readjustment in Vietnam: Special focus on the new 10 year socio-economic development strategy for 2011-2020. Industrial Readjustment in the Mekong River Basic Countries: Toward the AEC, 163-204.

International Energy Agency. (2019, November 11). Data and Statistics.

Jones, G. (2014). The population of Southeast Asia. Routledge handbook of Southeast Asian Economics, 223-251.

Kaya, Y., & Yokoburi, K. (1997). Environment, Energy, and Economy : Strategies for Sustainability. United Nations Univ. Press.

Lima, F., Nunes, M. L., Cunha, J., & Lucena, A. F. (2016). A cross-country assessment of energy-related CO2 emissions: Extended kaya index decomposition approach. Energy, XXX, 1-14.

Lin, S., Wang, S., Marinova, D., Zhao, D., & Hong, J. (2017). Impacts of urbanization and real economic development on CO2 emissions in non-high income countries: Empirical research based on the extended STRIPAT model. Journal of Cleaner Production, 166, 962-966.

Ma, X., Wang, C., Dong, B., Gu, G., Chen, R. L., Zou, H., . . . Li, Q. (2019). Carbon emissions from energy consumption in China: Its measurement and driving factors. Science of The Total Environment, 648, 1411-1420.

Mahony, T. O. (2013). Decomposition of Ireland's carbon emission from 1990 to 2010: An extended kaya identity. Energy Policy, 59, 573-581.

Mikayilov, J. I., Galeotti, M., Hasanov, F., & J. (2018). The impact of economic growth on CO2 Emissions in Azerbaijan. Journal of Cleaner Production, 197, 1558-1572.

Ministry of Energy. (2011). Thailand 20-year energy efficiency development plan (2011-2030). Ministry of Energy.

Ministry of Energy and Mineral Resources. (2018). Statistik Ketenagalistrikan 2017. Jakarta.

Ministry of Finance and Economy. (2019). Brunei Darussalam Statistical Yearbook 2018. Perpustakaan Dewan Bahasa dan Pustaka Brunei.

Ministry of Trade and Industry. (2007). Energy for Growth: National Energy Policy Report. Ministry of Trade and Industry.

Moutinho, V., Moreira, A. C., & Silva, P. M. (2015). The driving forces of change in energy-related CO2 emissions in eastern, western, northern, and southern europe: The LMDI approach to decomposition analysis. Renewable and Sustainable Energy Reviews, 50, 1485-1499.

Prime Minister's Department . (2010). Econmic transformation programme: A roadmap for Malaysia. Performance Management & Delivery Unit.

Robalino-López, A., García-Ramos, J. E., Golpe, A. A., & Mena-Nieto, A. (2016). CO2 emissions convergence among 10 South American countries. A study of kaya components (1980–2010). Carbon Management, 7, 1-12.

Román-Collado, R., & Morales-Carrión, A. V. (2018). Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes. Energy Policy, 115, 273-280.

Rüstemoglu, H., & Andrés, A. R. (2016). Determinants of CO2 emissions in Brazil and Russia between 1992 and 2011: A decomposition analysis. Environmental Science & Policy, 58, 95-106.

Saboori, B., & Sulaiman, J. (2013). CO2 emissions, energy consumption, and economic growth in Association of Southeast Asian Nations (ASEAN) countries: A cointegration approach. Energy, 55, 813-822.

Tavakoli, A. (2017). How precisely "kaya identity" can estimate GHG emissions: A global review. Jordan Journal of Earth and Environmental Sciences, 8(2), 91-96.

Tran. (2019). Projection of fossil fuel demands in Vietnam to 2050 and climate change implications. Asia & the Pacific Policy Studies, 6(2), 208-221.

Wang, M., & Feng, C. (2017). Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors. Applied Energy, 2017, 772-787.

World Bank. (2019). Data.

World Bank. (2020). Data.

World Resources Institute. (2019). Country Greenhouse Gas Emissions.

Yao, C., Feng, K., & Hubacek, K. (2015). Driving forces of CO2 emissions in the G20 countries: An index decomposition analysis from 1971 to 2020. Ecological Informatics, 26, 93-100.

Zhang, C., & Tan, Z. (2016). The relationship between population factors and China's carbon emissions: does population aging matter. Renewable Sustaninable Energy Reviews, 65, 1018-1025.

How to Cite
Khusna, V. A., & Kusumawardani, D. (2021). Decomposition of Carbon Dioxide (CO2) Emissions in ASEAN Based on Kaya Identity. Indonesian Journal of Energy, 4(2), 101-114.