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Driving Forces of Energy-Related CO 2 Emissions Based on Expanded IPAT Decomposition Analysis: Evidence from ASEAN and Four Selected Countries

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  • Jaruwan Chontanawat

    (King Mongkut’s University of Technology Thonburi, Bangkok 10140, Thailand)

Abstract

ASEAN is a dynamic and diverse region which has experienced rapid urbanization and population growth. Their energy demand grew by 60% in the last 15 years. In 2013, about 3.6% of global greenhouse-gas emissions was emitted from this region and the share is expected to rise substantially. Hence, a better understanding of driving forces of the changes in CO 2 emissions is important to tackle global climate change and develop appropriate policies. Using IPAT combined with variance analysis, this study aims to identify the main driving factors of CO 2 emissions for ASEAN and four selected countries (Indonesia, Malaysia, Philippines and Thailand) during 1971–2013. The results show that population growth and economic growth were the main driving factors for increasing CO 2 emissions for most of the countries. Fossil fuels play an important role in increasing CO 2 emissions, however the growth in emissions was compensated by improved energy efficiency and carbon intensity of fossil energy. The results imply that to decouple energy use from high levels of emissions is important. Proper energy management through fuel substitution and decreasing emission intensity through technological upgrades have considerable potential to cut emissions.

Suggested Citation

  • Jaruwan Chontanawat, 2019. "Driving Forces of Energy-Related CO 2 Emissions Based on Expanded IPAT Decomposition Analysis: Evidence from ASEAN and Four Selected Countries," Energies, MDPI, vol. 12(4), pages 1-23, February.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:764-:d:208876
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    References listed on IDEAS

    as
    1. Ditya Nurdianto & Budy Resosudarmo, 2011. "Prospects and challenges for an ASEAN energy integration policy," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(2), pages 103-127, June.
    2. Klaus Hubacek & Kuishuang Feng & Bin Chen, 2011. "Changing Lifestyles Towards a Low Carbon Economy: An IPAT Analysis for China," Energies, MDPI, vol. 5(1), pages 1-10, December.
    3. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    4. Kaivo-oja, J. & Luukkanen, J. & Panula-Ontto, J. & Vehmas, J. & Chen, Y. & Mikkonen, S. & Auffermann, B., 2014. "Are structural change and modernisation leading to convergence in the CO2 economy? Decomposition analysis of China, EU and USA," Energy, Elsevier, vol. 72(C), pages 115-125.
    5. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    6. Duro, Juan Antonio, 2013. "Weighting vectors and international inequality changes in environmental indicators: An analysis of CO2 per capita emissions and Kaya factors," Energy Economics, Elsevier, vol. 39(C), pages 122-127.
    7. Sumabat, Ana Karmela & Lopez, Neil Stephen & Yu, Krista Danielle & Hao, Han & Li, Richard & Geng, Yong & Chiu, Anthony S.F., 2016. "Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation," Applied Energy, Elsevier, vol. 164(C), pages 795-804.
    8. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    9. Maulidia, Martha & Dargusch, Paul & Ashworth, Peta & Ardiansyah, Fitrian, 2019. "Rethinking renewable energy targets and electricity sector reform in Indonesia: A private sector perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 231-247.
    10. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    11. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    12. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    13. Pani, Ratnakar & Mukhopadhyay, Ujjaini, 2013. "Management accounting approach to analyse energy related CO2 emission: A variance analysis study of top 10 emitters of the world," Energy Policy, Elsevier, vol. 52(C), pages 639-655.
    14. Pani, Ratnakar & Mukhopadhyay, Ujjaini, 2011. "Variance analysis of global CO2 emission – A management accounting approach for decomposition study," Energy, Elsevier, vol. 36(1), pages 486-499.
    15. Song, Malin & Wang, Shuhong & Yu, Huayin & Yang, Li & Wu, Jie, 2011. "To reduce energy consumption and to maintain rapid economic growth: Analysis of the condition in China based on expended IPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5129-5134.
    16. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    17. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2013. "Drivers of CO2 emissions in the former Soviet Union: A country level IPAT analysis from 1990 to 2010," Energy, Elsevier, vol. 59(C), pages 743-753.
    18. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
    19. Potsdam Institute for Climate Impact Research and Climate Analytics, 2013. "Turn Down the Heat : Climate Extremes, Regional Impacts, and the Case for Resilience [Bajemos la temperatura : fenómenos climáticos extremos, impactos regionales y posibidades de adaptación - resum," World Bank Publications - Books, The World Bank Group, number 14000, December.
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    2. Larry Hughes & Moniek Jong & Zach Thorne, 2021. "(De)coupling and (De)carbonizing in the economies and energy systems of the G20," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5614-5639, April.
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    5. Ansari, Mohd Arshad, 2022. "Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Vaclovas Miškinis & Arvydas Galinis & Inga Konstantinavičiūtė & Vidas Lekavičius & Eimantas Neniškis, 2021. "The Role of Renewable Energy Sources in Dynamics of Energy-Related GHG Emissions in the Baltic States," Sustainability, MDPI, vol. 13(18), pages 1-35, September.
    7. Gideon Nkam Taka & Ta Thi Huong & Izhar Hussain Shah & Hung-Suck Park, 2020. "Determinants of Energy-Based CO 2 Emissions in Ethiopia: A Decomposition Analysis from 1990 to 2017," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    8. Zhaohan Wang & Zijie Zhao & Chengxin Wang, 2021. "Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.
    9. Dan Meng & Yu Li & Ji Zheng & Zehong Li & Haipeng Ye & Shifeng Li, 2021. "Decoupling Analysis of CO 2 Emissions in the Industrial Sector from Economic Growth in China," Energies, MDPI, vol. 14(16), pages 1-15, August.
    10. YoungSeok Hwang & Jung-Sup Um & JunHwa Hwang & Stephan Schlüter, 2020. "Evaluating the Causal Relations between the Kaya Identity Index and ODIAC-Based Fossil Fuel CO 2 Flux," Energies, MDPI, vol. 13(22), pages 1-20, November.
    11. Huang, Yuan & Yu, Qiang & Wang, Ruirui, 2021. "Driving factors and decoupling effect of carbon footprint pressure in China: Based on net primary production," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    12. Jaruwan Chontanawat, 2020. "Dynamic Modelling of Causal Relationship between Energy Consumption, CO 2 Emission, and Economic Growth in SE Asian Countries," Energies, MDPI, vol. 13(24), pages 1-27, December.

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