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Decomposing Industrial Energy-Related CO 2 Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth

Author

Listed:
  • Mingxiang Deng

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Wei Li

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Yan Hu

    (State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)

Abstract

As a less-developed province that has been chosen to be part of a low-carbon pilot project, Yunnan faces the challenge of maintaining rapid economic growth while reducing CO 2 emissions. Understanding the drivers behind CO 2 emission changes can help decouple economic growth from CO 2 emissions. However, previous studies on the drivers of CO 2 emissions in less-developed regions that focus on both production and final demand have been seldom conducted. In this study, a structural decomposition analysis-logarithmic mean Divisia index (SDA-LMDI) model was developed to find the drivers behind the CO 2 emission changes during 1997–2012 in Yunnan, based on times series energy consumption and input-output data. The results demonstrated that the sharp rise in exports of high-carbon products from the metal processing and electricity sectors increased CO 2 emissions, during 2002–2007. Although increased investments in the construction sector also increased CO 2 emissions, during 2007–2012, the carbon intensity of Yunnan’s economy decreased substantially because the province vigorously developed hydropower and improved energy efficiency in energy-intensive sectors. Construction investments not only carbonized the GDP composition, but also formed a carbon-intensive production structure because of high-carbon supply chains. To further mitigate CO 2 emissions in Yunnan, measures should promote the development and application of clean energy and the formation of consumption-based economic growth.

Suggested Citation

  • Mingxiang Deng & Wei Li & Yan Hu, 2016. "Decomposing Industrial Energy-Related CO 2 Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth," Energies, MDPI, vol. 9(1), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:1:p:23-:d:61618
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    as
    1. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.
    2. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    3. Weber, Christopher L. & Peters, Glen P. & Guan, Dabo & Hubacek, Klaus, 2008. "The contribution of Chinese exports to climate change," Energy Policy, Elsevier, vol. 36(9), pages 3572-3577, September.
    4. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    5. Yuan, Chaoqing & Liu, Sifeng & Xie, Naiming, 2010. "The impact on chinese economic growth and energy consumption of the Global Financial Crisis: An input–output analysis," Energy, Elsevier, vol. 35(4), pages 1805-1812.
    6. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    7. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    8. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    9. Hennig, Thomas & Wang, Wenling & Feng, Yan & Ou, Xiaokun & He, Daming, 2013. "Review of Yunnan's hydropower development. Comparing small and large hydropower projects regarding their environmental implications and socio-economic consequences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 585-595.
    10. 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.
    11. Wachsmann, Ulrike & Wood, Richard & Lenzen, Manfred & Schaeffer, Roberto, 2009. "Structural decomposition of energy use in Brazil from 1970 to 1996," Applied Energy, Elsevier, vol. 86(4), pages 578-587, April.
    12. Paul De Boer, 2008. "Additive Structural Decomposition Analysis and Index Number Theory: An Empirical Application of the Montgomery Decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 97-109.
    13. Lingying Pan & Zheng Guo & Pei Liu & Linwei Ma & Zheng Li, 2013. "Comparison and Analysis of Macro Energy Scenarios in China and a Decomposition-Based Approach to Quantifying the Impacts of Economic and Social Development," Energies, MDPI, vol. 6(7), pages 1-22, July.
    14. Dabo Guan & Stephan Klasen & Klaus Hubacek & Kuishuang Feng & Zhu Liu & Kebin He & Yong Geng & Qiang Zhang, 2014. "Determinants of stagnating carbon intensity in China," Nature Climate Change, Nature, vol. 4(11), pages 1017-1023, November.
    15. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    16. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    17. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    18. Wang, Yafei & Zhao, Hongyan & Li, Liying & Liu, Zhu & Liang, Sai, 2013. "Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis," Energy Policy, Elsevier, vol. 58(C), pages 312-318.
    19. Wood, Richard, 2009. "Structural decomposition analysis of Australia's greenhouse gas emissions," Energy Policy, Elsevier, vol. 37(11), pages 4943-4948, November.
    20. Su, Bin & Ang, B.W. & Low, Melissa, 2013. "Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports," Ecological Economics, Elsevier, vol. 88(C), pages 119-125.
    21. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    22. Jianchang Lu & Weiguo Fan & Ming Meng, 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors," Energies, MDPI, vol. 8(4), pages 1-25, April.
    23. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    24. Liang, Sai & Zhang, Tianzhu, 2011. "What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province," Energy Policy, Elsevier, vol. 39(11), pages 7078-7083.
    25. Dabo Guan & Terry Barker, 2012. "Low-carbon development in the least developed region: a case study of Guangyuan, Sichuan province, southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 243-254, June.
    26. Tian, Xin & Chang, Miao & Tanikawa, Hiroki & Shi, Feng & Imura, Hidefumi, 2013. "Structural decomposition analysis of the carbonization process in Beijing: A regional explanation of rapid increasing carbon dioxide emission in China," Energy Policy, Elsevier, vol. 53(C), pages 279-286.
    27. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
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