IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v137y2017icp140-151.html
   My bibliography  Save this article

Accounting and structure decomposition analysis of embodied carbon trade: A global perspective

Author

Listed:
  • Deng, Guangyao
  • Xu, Yan

Abstract

In this paper, a multi-regional input-output model is built to estimate the global embodied carbon trade from 1995 to 2009 based on the World Input-Output Database (WIOD). The method of structure decomposition analysis (SDA) is applied to quantify the changes in the scale and structure of embodied carbon trade in China, India, Japan, and the United States. According to the results, the top three countries with the most embodied carbon trade were: the United States, China and Japan in 1995, and the United States, China and India in 2009. In 1995 and 2009, the sectors which have the highest direct carbon emission coefficients and total carbon emission coefficients in China, India and the United States are electricity, gas and water supply sectors, while each country maintained a different coefficient. A decrease of direct carbon emission coefficient will result in a reduction of the imports and exports, as well as the self-consumption of embodied carbon. Therefore, it is suggested that countries should develop low-carbon industries, and reduce the carbon emissions per unit of output. In addition, those countries with higher carbon emission coefficients should consider of importing products to lower carbon emissions.

Suggested Citation

  • Deng, Guangyao & Xu, Yan, 2017. "Accounting and structure decomposition analysis of embodied carbon trade: A global perspective," Energy, Elsevier, vol. 137(C), pages 140-151.
  • Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:140-151
    DOI: 10.1016/j.energy.2017.07.064
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217312409
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.07.064?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Llop, Maria, 2017. "Changes in energy output in a regional economy: A structural decomposition analysis," Energy, Elsevier, vol. 128(C), pages 145-151.
    2. Xu, Xueliu & Mu, Mingjie & Wang, Qian, 2017. "Recalculating CO2 emissions from the perspective of value-added trade: An input-output analysis of China's trade data," Energy Policy, Elsevier, vol. 107(C), pages 158-166.
    3. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    4. Asane-Otoo, Emmanuel, 2015. "Carbon footprint and emission determinants in Africa," Energy, Elsevier, vol. 82(C), pages 426-435.
    5. Kirsten S. Wiebe & Martin Bruckner & Stefan Giljum & Christian Lutz & Christine Polzin, 2012. "Carbon and Materials Embodied in the International Trade of Emerging Economies," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 636-646, August.
    6. Wyckoff, Andrew W. & Roop, Joseph M., 1994. "The embodiment of carbon in imports of manufactured products : Implications for international agreements on greenhouse gas emissions," Energy Policy, Elsevier, vol. 22(3), pages 187-194, March.
    7. Jiahua Pan & Jonathan Phillips & Ying Chen, 2008. "China's balance of emissions embodied in trade: approaches to measurement and allocating international responsibility," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 24(2), pages 354-376, Summer.
    8. Muñoz, Pablo & Steininger, Karl W., 2010. "Austria's CO2 responsibility and the carbon content of its international trade," Ecological Economics, Elsevier, vol. 69(10), pages 2003-2019, August.
    9. Huang, Yun-Hsun & Wu, Jung-Hua, 2013. "Analyzing the driving forces behind CO2 emissions and reduction strategies for energy-intensive sectors in Taiwan, 1996–2006," Energy, Elsevier, vol. 57(C), pages 402-411.
    10. Zhang, Moyi & Huang, Xian-Jin, 2012. "Effects of industrial restructuring on carbon reduction: An analysis of Jiangsu Province, China," Energy, Elsevier, vol. 44(1), pages 515-526.
    11. Dong, Huijuan & Geng, Yong & Fujita, Tsuyoshi & Jacques, David A., 2014. "Three accounts for regional carbon emissions from both fossil energy consumption and industrial process," Energy, Elsevier, vol. 67(C), pages 276-283.
    12. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    13. Chung, Whan-Sam & Tohno, Susumu & Shim, Sang Yul, 2009. "An estimation of energy and GHG emission intensity caused by energy consumption in Korea: An energy IO approach," Applied Energy, Elsevier, vol. 86(10), pages 1902-1914, October.
    14. Arce, Guadalupe & López, Luis Antonio & Guan, Dabo, 2016. "Carbon emissions embodied in international trade: The post-China era," Applied Energy, Elsevier, vol. 184(C), pages 1063-1072.
    15. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    16. Zhang, Chao & Anadon, Laura Diaz, 2014. "A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China," Ecological Economics, Elsevier, vol. 100(C), pages 159-172.
    17. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    18. Liu, Qiaoling & Wang, Qi, 2015. "Reexamine SO2 emissions embodied in China's exports using multiregional input–output analysis," Ecological Economics, Elsevier, vol. 113(C), pages 39-50.
    19. Andreoni, Valeria & Galmarini, Stefano, 2016. "Drivers in CO2 emissions variation: A decomposition analysis for 33 world countries," Energy, Elsevier, vol. 103(C), pages 27-37.
    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. Hehua Zhao & Hongwen Chen & Ying Fang & Apei Song, 2022. "Transfer Characteristics of Embodied Carbon Emissions in Export Trade—Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    2. Tang, Zhipeng & Yu, Haojie & Zou, Jialing, 2022. "How does production substitution affect China's embodied carbon emissions in exports?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Zuoxi Liu & Yongyang Wang & Shanshan Wang & Huijuan Dong & Yong Geng & Bing Xue & Jiaming Gu & Run Dong Li & Tianhua Yang, 2018. "An Emergy and Decomposition Assessment of China’s Crop Production: Sustainability and Driving Forces," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    4. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
    5. Hao Chen & Erdan Wang & Nuo Wang & Tao Song, 2023. "Research on Embodied Carbon Transfer Measurement and Carbon Compensation among Regions in China," IJERPH, MDPI, vol. 20(3), pages 1-20, February.
    6. Jiajia Li & Yucong Liu & Houjian Li & Abbas Ali Chandio, 2021. "Heterogeneous Driving Factors of Carbon Emissions Embedded in China’s Export: An Application of the LASSO Model," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    7. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    8. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    9. Xu, Dongxiao & Li, Yaoguang & Zhao, Mingyuan & Wang, Xinjing & Zhang, Yan & Chen, Bin & Yang, Zhifeng, 2022. "Spatial characteristics analysis of sectoral carbon transfer path in international trade: A comparison of the United States and China," Applied Energy, Elsevier, vol. 323(C).
    10. Jinghui Liu & Tingting Geng & Xingwei Wang & Guojin Qin, 2020. "Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World," Energies, MDPI, vol. 13(15), pages 1-26, July.
    11. Wang, G.Y. & Li, Y.P. & Liu, J. & Huang, G.H. & Chen, L.R. & Yang, Y.J. & Gao, P.P., 2022. "A two-phase factorial input-output model for analyzing CO2-emission reduction pathway and strategy from multiple perspectives – A case study of Fujian province," Energy, Elsevier, vol. 248(C).
    12. Shaonan Shan & Yulong Li & Zicheng Zhang & Wei Zhu & Tingting Zhang, 2023. "Identification of Key Carbon Emission Industries and Emission Reduction Control Based on Complex Network of Embodied Carbon Emission Transfers: The Case of Hei-Ji-Liao, China," IJERPH, MDPI, vol. 20(3), pages 1-28, January.
    13. Meihui Jiang, 2022. "Locating the Principal Sectors for Carbon Emission Reduction on the Global Supply Chains by the Methods of Complex Network and Susceptible–Infective Model," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    14. Yingying Hu & Wei Wu, 2022. "Spatiotemporal Variation and Driving Factors of Embodied Carbon in China-G7 Trade," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    15. Chinhao Chong & Xi Zhang & Geng Kong & Linwei Ma & Zheng Li & Weidou Ni & Eugene-Hao-Chen Yu, 2021. "A Visualization Method of the Economic Input–Output Table: Mapping Monetary Flows in the Form of Sankey Diagrams," Sustainability, MDPI, vol. 13(21), pages 1-56, November.
    16. Yunlong Zhao & Linwei Ma & Zheng Li & Weidou Ni, 2022. "A Calculation and Decomposition Method Embedding Sectoral Energy Structure for Embodied Carbon: A Case Study of China’s 28 Sectors," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
    17. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    18. Ali Faridzad & Mahta Ghafarian Ghadim, 2023. "CO2 intensity decomposition analysis in the Netherlands' manufacturing industry: an application of monetary and physical indicators," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8799-8817, August.
    19. Mengmeng Liu & Hao Wu & Haopeng Wang, 2023. "Will Trade Protection Trigger a Surge in Investment-Related CO 2 Emissions? Evidence from Multi-Regional Input–Output Model," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    20. Wenbin Shao & Fangyi Li & Zhaoyang Ye & Zhipeng Tang & Wu Xie & Yu Bai & Shanlin Yang, 2019. "Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    21. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    22. Hongguang Liu & Xiaomei Fan, 2017. "Value-Added-Based Accounting of CO 2 Emissions: A Multi-Regional Input-Output Approach," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    23. Shichun Xu & Chang Gao & Yunfan Li & Xiaoxue Ma & Yifeng Zhou & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Influences the Cross-Border Air Pollutant Transfer in China–United States Trade: A Comparative Analysis Using the Extended IO-SDA Method," Sustainability, MDPI, vol. 11(22), pages 1-21, November.

    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. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    2. Yuhuan Zhao & Song Wang & Jiaqin Yang & Zhonghua Zhang & Ya Liu, 2016. "Input-output analysis of carbon emissions embodied in China-Japan trade," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1515-1529, April.
    3. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    4. Duan, Yuwan & Jiang, Xuemei, 2017. "Temporal Change of China's Pollution Terms of Trade and its Determinants," Ecological Economics, Elsevier, vol. 132(C), pages 31-44.
    5. Wen Wen & Qi Wang, 2017. "Are Developed Regions in China Achieving Their CO 2 Emissions Reduction Targets on Their Own?—Case of Beijing," Energies, MDPI, vol. 10(12), pages 1-25, November.
    6. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    7. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    8. Liu, Qiaoling & Wang, Qi, 2015. "Reexamine SO2 emissions embodied in China's exports using multiregional input–output analysis," Ecological Economics, Elsevier, vol. 113(C), pages 39-50.
    9. Pu, Zhengning & Fu, Jiasha & Zhang, Chi & Shao, Jun, 2018. "Structure decomposition analysis of embodied carbon from transition economies," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 1-12.
    10. Zhang, Zengkai & Zhu, Kunfu & Hewings, Geoffrey J.D., 2017. "A multi-regional input–output analysis of the pollution haven hypothesis from the perspective of global production fragmentation," Energy Economics, Elsevier, vol. 64(C), pages 13-23.
    11. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    12. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    13. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    14. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    15. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    16. Gabriela Michalek & Reimund Schwarze, 2015. "Carbon leakage: pollution, trade or politics?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(6), pages 1471-1492, December.
    17. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    18. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    19. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    20. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.

    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:eee:energy:v:137:y:2017:i:c:p:140-151. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.