IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v28y2007i1p145-170.html
   My bibliography  Save this article

How Malleable are the Greenhouse Gas Emission Intensities of the G7 Nations?

Author

Listed:
  • Chris Bataille
  • Nic Rivers
  • Paulus Mau
  • Chris Joseph
  • Jian-Jun Tu

Abstract

Why do countries’ greenhouse gas (GHG) intensities differ? How much of a country’s GHG intensity is set by inflexible national circumstances, and how much may be altered by policy? These questions are common in climate change policy discourse and may influence emission reduction allocations. Despite the policy relevance of the discussion, little quantitative analysis has been done. In this paper we address these questions in the context of the G7 by applying a pair of simple quantitative methodologies: decomposition analysis and allocation of fossil fuel production emissions to end-users instead of producers. According to our analysis and available data, climate and geographic size - both inflexible national characteristics - can have a significant effect on a country’s GHG intensity. A country’s methods for producing electricity and net trade in fossil fuels are also significant, while industrial structure has little effect at the available level of data disaggregation.

Suggested Citation

  • Chris Bataille & Nic Rivers & Paulus Mau & Chris Joseph & Jian-Jun Tu, 2007. "How Malleable are the Greenhouse Gas Emission Intensities of the G7 Nations?," The Energy Journal, , vol. 28(1), pages 145-170, January.
  • Handle: RePEc:sae:enejou:v:28:y:2007:i:1:p:145-170
    DOI: 10.5547/ISSN0195-6574-EJ-Vol28-No1-7
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol28-No1-7
    Download Restriction: no

    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol28-No1-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chung, Whan-Sam & Tohno, Susumu & Choi, Ki-Hong, 2011. "Socio-technological impact analysis using an energy IO approach to GHG emissions issues in South Korea," Applied Energy, Elsevier, vol. 88(11), pages 3747-3758.
    2. Chris Bataille & Henri Waisman & Michel Colombier & Laura Segafredo & Jim Williams & Frank Jotzo, 2016. "The need for national deep decarbonization pathways for effective climate policy," Climate Policy, Taylor & Francis Journals, vol. 16(sup1), pages 7-26, June.
    3. Ang, B.W. & Xu, X.Y. & Su, Bin, 2015. "Multi-country comparisons of energy performance: The index decomposition analysis approach," Energy Economics, Elsevier, vol. 47(C), pages 68-76.
    4. Chris Bataille & Benjamin Dachis & Nic Rivers, 2009. "Pricing Greenhouse Gas Emissions: The Impact on Canada's Competitiveness," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 280, February.
    5. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    6. Hocaoglu, Fatih Onur & Karanfil, Fatih, 2011. "Examining the link between carbon dioxide emissions and the share of industry in GDP: Modeling and testing for the G-7 countries," Energy Policy, Elsevier, vol. 39(6), pages 3612-3620, June.
    7. Fisher-Vanden, Karen & Schu, Kathryn & Sue Wing, Ian & Calvin, Katherine, 2012. "Decomposing the impact of alternative technology sets on future carbon emissions growth," Energy Economics, Elsevier, vol. 34(S3), pages 359-365.
    8. Rodríguez, Miguel & Pena-Boquete, Yolanda & Pardo-Fernández, Juan Carlos, 2016. "Revisiting Environmental Kuznets Curves through the energy price lens," Energy Policy, Elsevier, vol. 95(C), pages 32-41.
    9. Shumin Zhang & Yongze Lv & Jian Xu & Baolei Zhang, 2023. "Exploring the Spatiotemporal Heterogeneity of Carbon Emission from Energy Consumption and Its Influencing Factors in the Yellow River Basin," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    10. Milstein, Irena & Tishler, Asher, 2011. "Intermittently renewable energy, optimal capacity mix and prices in a deregulated electricity market," Energy Policy, Elsevier, vol. 39(7), pages 3922-3927, July.
    11. Ang, B.W. & Su, Bin & Wang, H., 2016. "A spatial–temporal decomposition approach to performance assessment in energy and emissions," Energy Economics, Elsevier, vol. 60(C), pages 112-121.
    12. Xu, X.Y. & Ang, B.W., 2014. "Multilevel index decomposition analysis: Approaches and application," Energy Economics, Elsevier, vol. 44(C), pages 375-382.
    13. Wang, Jiqiang & Wang, Ya & Zhang, Shaohui & Fan, Chun & Zhou, Nanqing & Liu, Jinhui & Li, Xin & Liu, Yun & Hou, Xiujun & Yi, Bowen, 2024. "Accounting of aviation carbon emission in developing countries based on flight-level ADS-B data," Applied Energy, Elsevier, vol. 358(C).
    14. Calbick, K.S. & Gunton, Thomas, 2014. "Differences among OECD countries’ GHG emissions: Causes and policy implications," Energy Policy, Elsevier, vol. 67(C), pages 895-902.
    15. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    16. Li, Hao & Zhao, Yuhuan & Qiao, Xiaoyong & Liu, Ya & Cao, Ye & Li, Yue & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Weng, Jianfeng, 2017. "Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models," Energy Economics, Elsevier, vol. 68(C), pages 522-538.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    2. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    3. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    4. Tol, Richard S.J. & Pacala, Stephen W. & Socolow, Robert H., 2009. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the USA," Journal of Policy Modeling, Elsevier, vol. 31(3), pages 425-445, May.
    5. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.
    6. Duro, Juan Antonio & Alcántara, Vicent & Padilla, Emilio, 2010. "International inequality in energy intensity levels and the role of production composition and energy efficiency: An analysis of OECD countries," Ecological Economics, Elsevier, vol. 69(12), pages 2468-2474, October.
    7. Peter Mulder & Henri L.F. de Groot, 2004. "Decoupling Economic Growth and Energy Use. An Empirical Cross-Country Analysis for 10 Manufacturing Sectors," Tinbergen Institute Discussion Papers 04-005/3, Tinbergen Institute.
    8. Robaina-Alves, Margarita & Moutinho, Victor, 2014. "Decomposition of energy-related GHG emissions in agriculture over 1995–2008 for European countries," Applied Energy, Elsevier, vol. 114(C), pages 949-957.
    9. Mairet, Nicolas & Decellas, Fabrice, 2009. "Determinants of energy demand in the French service sector: A decomposition analysis," Energy Policy, Elsevier, vol. 37(7), pages 2734-2744, July.
    10. Herring, Horace, 1999. "Does energy efficiency save energy? The debate and its consequences," Applied Energy, Elsevier, vol. 63(3), pages 209-226, July.
    11. Nag, Barnali & Parikh, Jyoti K., 2005. "Carbon emission coefficient of power consumption in India: baseline determination from the demand side," Energy Policy, Elsevier, vol. 33(6), pages 777-786, April.
    12. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Analysis of energy intensity in Japan," Energy Policy, Elsevier, vol. 61(C), pages 574-586.
    13. Nag, Barnali & Parikh, Jyoti, 2000. "Indicators of carbon emission intensity from commercial energy use in India," Energy Economics, Elsevier, vol. 22(4), pages 441-461, August.
    14. Ma, Hengyun & Oxley, Les & Gibson, John, 2010. "China's energy economy: A survey of the literature," Economic Systems, Elsevier, vol. 34(2), pages 105-132, June.
    15. Fedajev, Aleksandra & Mitić, Petar & Kojić, Milena & Radulescu, Magdalena, 2023. "Driving industrial and economic growth in Central and Eastern Europe: The role of electricity infrastructure and renewable energy," Utilities Policy, Elsevier, vol. 85(C).
    16. Mei Liao & Chao Ma & Dongpu Yao & Huizheng Liu, 2013. "Decomposition of embodied exergy flows in manufactured products and implications for carbon tariff policies," Asia Europe Journal, Springer, vol. 11(3), pages 265-283, September.
    17. Murtishaw, Scott & Schipper, Lee & Unander, Fridtjof & Karbuz, Sohbet & Khrushch, Marta, 2001. "Lost carbon emissions: the role of non-manufacturing "other industries" and refining in industrial energy use and carbon emissions in IEA countries," Energy Policy, Elsevier, vol. 29(2), pages 83-102, January.
    18. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    19. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    20. 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.

    More about this item

    Keywords

    Greenhouse gases; decomposition analysis; G7; climate change policy; emission intensity;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:enejou:v:28:y:2007:i:1:p:145-170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.