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What Accounts for the Growth of Carbon Dioxide Emissions in Advanced and Emerging Economies? The Role of Consumption, Technology and Global Supply Chain Participation

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  • de Vries, Gaaitzen J.
  • Ferrarini, Benno

Abstract

This paper examines the driving forces behind the growth in carbon dioxide emissions in forty advanced and emerging economies between 1995 and 2008. We use the global supply chain concept introduced in Timmer et al. (2014) to measure CO2 emissions in internationally fragmented production networks and embed the concept in structural decomposition analysis. Our findings suggest that rising levels of domestic consumption are related to increased carbon dioxide emissions in both advanced and emerging economies. A substantial share of CO2 emissions growth in emerging economies is accounted for by increased participation in global supply chains. However, even for countries that rapidly integrated in global production networks, such as China, rising domestic consumption accounts for the majority of territorial emissions.

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  • de Vries, Gaaitzen J. & Ferrarini, Benno, 2017. "What Accounts for the Growth of Carbon Dioxide Emissions in Advanced and Emerging Economies? The Role of Consumption, Technology and Global Supply Chain Participation," Ecological Economics, Elsevier, vol. 132(C), pages 213-223.
  • Handle: RePEc:eee:ecolec:v:132:y:2017:i:c:p:213-223
    DOI: 10.1016/j.ecolecon.2016.11.001
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    3. Wang, Zhen & Wei, Liyuan & Niu, Beibei & Liu, Yong & Bin, Guoshu, 2017. "Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach," Applied Energy, Elsevier, vol. 206(C), pages 1544-1551.
    4. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    5. Yan, Yunfeng & Wang, Ran & Zheng, Xiuxiu & Zhao, Zhongxiu, 2020. "Carbon endowment and trade-embodied carbon emissions in global value chains: Evidence from China," Applied Energy, Elsevier, vol. 277(C).
    6. Sinha, Avik & Sengupta, Tuhin & Saha, Tanaya, 2020. "Technology policy and environmental quality at crossroads: Designing SDG policies for select Asia Pacific countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    7. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    8. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    9. Yan, Zheming & Zou, Baoling & Du, Kerui & Li, Ke, 2020. "Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models," Energy Economics, Elsevier, vol. 90(C).
    10. Gallemore, Caleb & Guisinger, Amy & Kruuse, Mikkel & Ruysschaert, Denis & Jespersen, Kristjan, 2018. "Escaping the “Teenage” Years: The Politics of Rigor and the Evolution of Private Environmental Standards," Ecological Economics, Elsevier, vol. 152(C), pages 76-87.
    11. Myriam BEN SAAD, 2017. "L’effet de la complexité économique sur la pollution de l’air : une autre approche de la courbe environnementale de Kuznets," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 46, pages 21-41.
    12. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    13. Duan, Yuwan & Yan, Bingqian, 2019. "Economic gains and environmental losses from international trade: A decomposition of pollution intensity in China's value-added trade," Energy Economics, Elsevier, vol. 83(C), pages 540-554.
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