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Simulation Analysis of China’s Energy and Industrial Structure Adjustment Potential to Achieve a Low-carbon Economy by 2020

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  • Nan Xiang

    (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China
    Graduate School of Management, University of Chinese Academy of Sciences, Beijing 100190, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resource, Beijing 100083, China)

  • Feng Xu

    (School of Environment Sciences, Tsinghua University, Beijing 100084, China)

  • Jinghua Sha

    (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resource, Beijing 100083, China)

Abstract

To achieve a low-carbon economy, China has committed to reducing its carbon dioxide (CO 2 ) emissions per unit of gross domestic product (GDP) by 40%–45% by 2020 from 2005 levels and increasing the share of non-fossil fuels in primary energy consumption to approximately 15%. It is necessary to investigate whether this plan is suitable and how this target may be reached. This paper verifies the feasibility of achieving the CO 2 emission targets by energy and industrial structure adjustments, and proposes applicable measures for further sustainable development by 2020 through comprehensive simulation. The simulation model comprises three sub-models: an energy flow balance model, a CO 2 emission model, and a socio-economic model. The model is constructed based on input-output table and three balances (material, value, and energy flow balance), and it is written in LINGO, a linear dynamic programming language. The simulation results suggest that China’s carbon intensity reduction promise can be realized and even surpassed to 50% and that economic development (annual 10% GDP growth rate) can be achieved if energy and industrial structure are adjusted properly by 2020. However, the total amount of CO 2 emission will reach a relatively high level—13.68 billion tons—which calls for further sound approaches to realize a low carbon economy, such as energy utilization efficiency improvement, technology innovation, and non-fossil energy’s utilization.

Suggested Citation

  • Nan Xiang & Feng Xu & Jinghua Sha, 2013. "Simulation Analysis of China’s Energy and Industrial Structure Adjustment Potential to Achieve a Low-carbon Economy by 2020," Sustainability, MDPI, vol. 5(12), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:5:y:2013:i:12:p:5081-5099:d:30867
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    1. Lin, Q.G. & Huang, G.H., 2009. "Planning of energy system management and GHG-emission control in the Municipality of Beijing--An inexact-dynamic stochastic programming model," Energy Policy, Elsevier, vol. 37(11), pages 4463-4473, November.
    2. Wang, Yanjia & Gu, Alun & Zhang, Aling, 2011. "Recent development of energy supply and demand in China, and energy sector prospects through 2030," Energy Policy, Elsevier, vol. 39(11), pages 6745-6759.
    3. Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), 2007. "Globalization and Regional Economic Modeling," Advances in Spatial Science, Springer, number 978-3-540-72444-5, Fall.
    4. Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
    5. Andries Hof & Michel Elzen & Detlef Vuuren, 2009. "Environmental effectiveness and economic consequences of fragmented versus universal regimes: what can we learn from model studies?," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 9(1), pages 39-62, February.
    6. Viguier, Laurent, 2001. "Fair trade and harmonization of climate change policies in Europe," Energy Policy, Elsevier, vol. 29(10), pages 749-753, August.
    7. Edwards, T. Huw. & Hutton, John P., 2001. "Allocation of carbon permits within a country: a general equilibrium analysis of the United Kingdom," Energy Economics, Elsevier, vol. 23(4), pages 371-386, July.
    8. Gomi, Kei & Shimada, Kouji & Matsuoka, Yuzuru, 2010. "A low-carbon scenario creation method for a local-scale economy and its application in Kyoto city," Energy Policy, Elsevier, vol. 38(9), pages 4783-4796, September.
    9. Bin Li & Yoshiro Higano, 2007. "An Environmental Socioeconomic Framework Model for Adapting to Climate Change in China," Advances in Spatial Science, in: Russel Cooper & Kieran Donaghy & Geoffrey Hewings (ed.), Globalization and Regional Economic Modeling, chapter 14, pages 327-349, Springer.
    10. Tietenberg, T H, 1990. "Economic Instruments for Environmental Regulation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 6(1), pages 17-33, Spring.
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