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Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China

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  • Wang, Peng
  • Dai, Han-cheng
  • Ren, Song-yan
  • Zhao, Dai-qing
  • Masui, Toshihiko

Abstract

This study analyzed the economic impacts of carbon ETS (emission trading scheme) policy among four energy intensive sectors in Guangdong province with a two-region dynamic CGE model. Five cases are considered to achieve Copenhagen target towards 2020 in Guangdong, including a reference case, two cases under different carbon emission constraints without carbon ETS, and two cases with ETS. The simulation results show that carbon price and economic impacts are closely related to both emission constraints and ETS. In the scenario that overshoots Copenhagen target and does not consider ETS, carbon mitigation cost of refinery and iron & steel sectors would be relatively higher whereas that of power and cement sectors would be lower, and the GDP (gross domestic production) loss would be 1.4%. On the contrary, with ETS implemented, the trading carbon price would be 38 USD (US Dollar)/ton-CO2, creating a carbon market of around 1 billion USD. Furthermore, ETS could significantly reduce the mitigation cost for the whole economy. The GDP of Guangdong province would recover by 2.6 billion USD. In addition, the economic output and employment of sectors with would be affected compared to the scenario without ETS.

Suggested Citation

  • Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    • Handle: RePEc:eee:energy:v:79:y:2015:i:c:p:212-227
    DOI: 10.1016/j.energy.2014.11.009
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    1. Mikiko Kainuma & Kyoko Miwa & Tomoki Ehara & Osamu Akashi & Yumiko Asayama, 2013. "A low-carbon society: global visions, pathways, and challenges," Climate Policy, Taylor & Francis Journals, vol. 13(sup01), pages 5-21, March.
    2. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    3. Lu, Chuanyi & Zhang, Xiliang & He, Jiankun, 2010. "A CGE analysis to study the impacts of energy investment on economic growth and carbon dioxide emission: A case of Shaanxi Province in western China," Energy, Elsevier, vol. 35(11), pages 4319-4327.
    4. He, Y.X. & Zhang, S.L. & Yang, L.Y. & Wang, Y.J. & Wang, J., 2010. "Economic analysis of coal price-electricity price adjustment in China based on the CGE model," Energy Policy, Elsevier, vol. 38(11), pages 6629-6637, November.
    5. Egenhofer, Christian, 2007. "The Making of the EU Emissions Trading Scheme:: Status, Prospects and Implications for Business," European Management Journal, Elsevier, vol. 25(6), pages 453-463, December.
    6. Arnim Kuhn, 2005. "A CGE analysis of trade costs in the Russian agrofood sector," Agricultural Economics, International Association of Agricultural Economists, vol. 33(1), pages 79-90, July.
    7. Wing, Ian Sue, 2006. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technologies and the cost of limiting US CO2 emissions," Energy Policy, Elsevier, vol. 34(18), pages 3847-3869, December.
    8. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    9. Zhang, Da & Rausch, Sebastian & Karplus, Valerie J. & Zhang, Xiliang, 2013. "Quantifying regional economic impacts of CO2 intensity targets in China," Energy Economics, Elsevier, vol. 40(C), pages 687-701.
    10. Zhou, Sheng & Tong, Qing & Yu, Sha & Wang, Yu & Chai, Qimin & Zhang, Xiliang, 2012. "Role of non-fossil energy in meeting China's energy and climate target for 2020," Energy Policy, Elsevier, vol. 51(C), pages 14-19.
    11. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2011. "Assessment of China's climate commitment and non-fossil energy plan towards 2020 using hybrid AIM/CGE model," Energy Policy, Elsevier, vol. 39(5), pages 2875-2887, May.
    12. Sue Wing, Ian, 2008. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework," Energy Economics, Elsevier, vol. 30(2), pages 547-573, March.
    13. Braun, Marcel, 2009. "The evolution of emissions trading in the European Union - The role of policy networks, knowledge and policy entrepreneurs," Accounting, Organizations and Society, Elsevier, vol. 34(3-4), pages 469-487, April.
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