IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v23y2012i4p1134-1145.html
   My bibliography  Save this article

Regional variation of energy-related industrial CO2 emissions mitigation in China

Author

Listed:
  • Ren, Shenggang
  • Fu, Xiang
  • Chen, XiaoHong

Abstract

This paper analyzes the reasons for regional variations in industrial CO2 emissions mitigation. First, regional industrial CO2 emissions during the “11th Five-Year Plan” period are calculated based on the presented method. Then a two-level perfect decomposition method, LMDI, is used to find the nature of the factors that influence the changes in energy-related industrial CO2 emissions in nine economic regions in China. The changes of industrial CO2 emissions are decomposed into energy emission factor effect, energy structure effect, energy intensity effect, industrial structure effect and economic output effect. As the results suggest, rapid growth of industry is the most important factor responsible for the increase in CO2 emissions. The adjustment of both industrial structure and energy structure contributes to the increase of CO2 emissions slightly. Energy consumption per unit GDP is the most important measure of CO2 emissions and the energy emission factor by itself also makes a weeny contribution to CO2 reduction as a result of electricity generation efficiency enhancement.

Suggested Citation

  • Ren, Shenggang & Fu, Xiang & Chen, XiaoHong, 2012. "Regional variation of energy-related industrial CO2 emissions mitigation in China," China Economic Review, Elsevier, vol. 23(4), pages 1134-1145.
  • Handle: RePEc:eee:chieco:v:23:y:2012:i:4:p:1134-1145
    DOI: 10.1016/j.chieco.2012.08.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X12000922
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2012.08.003?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. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    3. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2005. "Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change," Energy Policy, Elsevier, vol. 33(3), pages 319-335, February.
    4. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    5. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    6. Hatzigeorgiou, Emmanouil & Polatidis, Heracles & Haralambopoulos, Dias, 2008. "CO2 emissions in Greece for 1990–2002: A decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques," Energy, Elsevier, vol. 33(3), pages 492-499.
    7. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    8. Shrestha, Ram M. & Timilsina, Govinda R., 1996. "Factors affecting CO2 intensities of power sector in Asia: A Divisia decomposition analysis," Energy Economics, Elsevier, vol. 18(4), pages 283-293, October.
    9. Zhang, ZhongXiang, 2003. "Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change," Energy Economics, Elsevier, vol. 25(6), pages 625-638, November.
    10. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.
    11. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    12. Lee, Kihoon & Oh, Wankeun, 2006. "Analysis of CO2 emissions in APEC countries: A time-series and a cross-sectional decomposition using the log mean Divisia method," Energy Policy, Elsevier, vol. 34(17), pages 2779-2787, November.
    13. Howarth, Richard B. & Schipper, Lee & Duerr, Peter A. & Strøm, Steinar, 1991. "Manufacturing energy use in eight OECD countries : Decomposing the impacts of changes in output, industry structure and energy intensity," Energy Economics, Elsevier, vol. 13(2), pages 135-142, April.
    14. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    15. Park, Se-Hark, 1992. "Decomposition of industrial energy consumption : An alternative method," Energy Economics, Elsevier, vol. 14(4), pages 265-270, October.
    16. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    17. 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.
    18. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    19. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
    20. Boyd, Gale A. & Hanson, Donald A. & Sterner, Thomas, 1988. "Decomposition of changes in energy intensity : A comparison of the Divisia index and other methods," Energy Economics, Elsevier, vol. 10(4), pages 309-312, October.
    21. Sheinbaum, Claudia & Ozawa, Leticia & Castillo, Daniel, 2010. "Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry," Energy Economics, Elsevier, vol. 32(6), pages 1337-1344, November.
    22. Zhang, Ming & Mu, Hailin & Ning, Yadong & Song, Yongchen, 2009. "Decomposition of energy-related CO2 emission over 1991-2006 in China," Ecological Economics, Elsevier, vol. 68(7), pages 2122-2128, May.
    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. Xianzhao Liu & Xu Yang & Ruoxin Guo, 2020. "Regional Differences in Fossil Energy-Related Carbon Emissions in China’s Eight Economic Regions: Based on the Theil Index and PLS-VIP Method," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    2. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    3. Xiafei Chen & Zhiying Liu & Chaoliang Ma, 2017. "Chinese innovation-driving factors: regional structure, innovation effect, and economic development—empirical research based on panel data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 43-68, July.
    4. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    5. Yong Yang & Junsong Jia & Chundi Chen, 2020. "Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi," Sustainability, MDPI, vol. 12(5), pages 1-28, March.
    6. Lin, Boqiang & Moubarak, Mohamed, 2013. "Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 389-396.
    7. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    8. Wang, Shaojian & Wang, Jieyu & Zhou, Yuquan, 2018. "Estimating the effects of socioeconomic structure on CO2 emissions in China using an econometric analysis framework," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 18-27.
    9. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    10. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    11. Shao, Shuai & Liu, Jianghua & Geng, Yong & Miao, Zhuang & Yang, Yingchun, 2016. "Uncovering driving factors of carbon emissions from China’s mining sector," Applied Energy, Elsevier, vol. 166(C), pages 220-238.
    12. Linlin Ye & Xiaodong Wu & Dandan Huang, 2020. "Industrial Energy-Related CO 2 Emissions and Their Driving Factors in the Yangtze River Economic Zone (China): An Extended LMDI Analysis from 2008 to 2016," IJERPH, MDPI, vol. 17(16), pages 1-13, August.
    13. Yunlong Zhao & Geng Kong & Chin Hao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    14. Chen, Shiyi, 2015. "Environmental pollution emissions, regional productivity growth and ecological economic development in China," China Economic Review, Elsevier, vol. 35(C), pages 171-182.
    15. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    16. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    17. Li-Jing Liu & Qiao-Mei Liang & Felix Creutzig & Nan Cheng & Lan-Cui Liu, 2021. "Electricity end-use and construction activity are key leverage points for co-controlling greenhouse gases and local pollution in China," Climatic Change, Springer, vol. 167(1), pages 1-22, July.
    18. Bolin Yu & Debin Fang & Andrew N. Kleit & Kun Xiao, 2022. "Exploring the driving mechanism and the evolution of the low‐carbon economy transition: Lessons from OECD developed countries," The World Economy, Wiley Blackwell, vol. 45(9), pages 2766-2795, September.
    19. Lei Liu & Ke Wang & Shanshan Wang & Ruiqin Zhang & Xiaoyan Tang, 2019. "Exploring the Driving Forces and Reduction Potential of Industrial Energy-Related CO 2 Emissions during 2001–2030: A Case Study for Henan Province, China," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    20. Wang, Hai-jie & Tang, Kai, 2023. "Extreme climate, innovative ability and energy efficiency," Energy Economics, Elsevier, vol. 120(C).
    21. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    22. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    23. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    24. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.

    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. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    2. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    3. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    4. Yanan Chen & Sheng Lin, 2015. "Decomposition and allocation of energy-related carbon dioxide emission allowance over provinces of 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. 76(3), pages 1893-1909, April.
    5. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    6. Patiño, Lourdes Isabel & Alcántara, Vicent & Padilla, Emilio, 2021. "Driving forces of CO2 emissions and energy intensity in Colombia," Energy Policy, Elsevier, vol. 151(C).
    7. Kang, Jidong & Zhao, Tao & Liu, Nan & Zhang, Xin & Xu, Xianshuo & Lin, Tao, 2014. "A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China," Energy, Elsevier, vol. 68(C), pages 562-571.
    8. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    9. Jeong, Kyonghwa & Kim, Suyi, 2013. "LMDI decomposition analysis of greenhouse gas emissions in the Korean manufacturing sector," Energy Policy, Elsevier, vol. 62(C), pages 1245-1253.
    10. Lin, Boqiang & Long, Houyin, 2016. "Emissions reduction in China׳s chemical industry – Based on LMDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1348-1355.
    11. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    12. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    13. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    14. Moutinho, Victor & Moreira, António Carrizo & Silva, Pedro Miguel, 2015. "The driving forces of change in energy-related CO2 emissions in Eastern, Western, Northern and Southern Europe: The LMDI approach to decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1485-1499.
    15. González, Domingo & Martínez, Manuel, 2012. "Changes in CO2 emission intensities in the Mexican industry," Energy Policy, Elsevier, vol. 51(C), pages 149-163.
    16. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    17. Hu, Junfeng & Kahrl, Fredrich & Yan, Qingyou & Wang, Xiaoya, 2012. "The impact of China's differential electricity pricing policy on power sector CO2 emissions," Energy Policy, Elsevier, vol. 45(C), pages 412-419.
    18. Liu, Gengyuan & Hao, Yan & Zhou, Yun & Yang, Zhifeng & Zhang, Yan & Su, Meirong, 2016. "China's low-carbon industrial transformation assessment based on Logarithmic Mean Divisia Index model," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 156-170.
    19. Victor Moutinho & José Manuel Xavier & Pedro Miguel Silva, 2014. "Examining the energy-related CO2 emissions using Decomposition Approach in EU-15 before and after the Kyoto Protocol," CEFAGE-UE Working Papers 2014_17, University of Evora, CEFAGE-UE (Portugal).
    20. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.

    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:chieco:v:23:y:2012:i:4:p:1134-1145. 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.elsevier.com/locate/chieco .

    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.