[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v78y2014icp426-438.html
   My bibliography  Save this article

China's regional disparities in energy consumption: An input–output analysis

Author

Listed:
  • Li, Zheng
  • Pan, Lingying
  • Fu, Feng
  • Liu, Pei
  • Ma, Linwei
  • Amorelli, Angelo
Abstract
While most of previous studies on China's energy conservation took the huge country as a whole, this manuscript revealed the obvious regional disparities in energy consumption of China's 30 provinces. Based on a hybrid energy input–output model, the total energy consumption of different regions was decomposed and compared using three measurements of embodied energy in inter-regional trade: 1) only considered inter-regional energy trade; 2) considered embodied energy in flow-out of final goods and services; 3) considered embodied energy in flow-in of final goods and services. Based on the second and third measurements, the 30 regions were categorized into four groups by their energy intensity and per capita GDP (gross domestic production). Common characteristics of decomposed regional energy intensity are discussed, and policy implication for regional energy conservation is provided. For developed regions with low energy intensities, such as Shanghai, energy conservation should focus on promoting low energy-consuming life style. For under-developed regions with low energy intensities, such as Guangxi, economic development is more urgent than energy conservation. For developing and energy absorbing regions, improving energy efficiency in industries is significant. For developing and energy exporting regions, transforming primary energy into high value-added products would be beneficial for economic development and energy conservation.

Suggested Citation

  • Li, Zheng & Pan, Lingying & Fu, Feng & Liu, Pei & Ma, Linwei & Amorelli, Angelo, 2014. "China's regional disparities in energy consumption: An input–output analysis," Energy, Elsevier, vol. 78(C), pages 426-438.
    • Handle: RePEc:eee:energy:v:78:y:2014:i:c:p:426-438
    DOI: 10.1016/j.energy.2014.10.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544214011797
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2014.10.030?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. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
    2. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    3. Graham Treloar, 1997. "Extracting Embodied Energy Paths from Input-Output Tables: Towards an Input-Output-based Hybrid Energy Analysis Method," Economic Systems Research, Taylor & Francis Journals, vol. 9(4), pages 375-391.
    4. Cellura, Maurizio & Longo, Sonia & Mistretta, Marina, 2011. "The energy and environmental impacts of Italian households consumptions: An input–output approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3897-3908.
    5. Ma, Linwei & Liu, Pei & Fu, Feng & Li, Zheng & Ni, Weidou, 2011. "Integrated energy strategy for the sustainable development of China," Energy, Elsevier, vol. 36(2), pages 1143-1154.
    6. Liu, Hong-Tao & Guo, Ju-E & Qian, Dong & Xi, You-Min, 2009. "Comprehensive evaluation of household indirect energy consumption and impacts of alternative energy policies in China by input-output analysis," Energy Policy, Elsevier, vol. 37(8), pages 3194-3204, August.
    7. Meng, Lei & Guo, Ju'e & Chai, Jian & Zhang, Zengkai, 2011. "China's regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies," Energy Policy, Elsevier, vol. 39(10), pages 6136-6144, October.
    8. Zhang, Bo & Chen, Z.M. & Xia, X.H. & Xu, X.Y. & Chen, Y.B., 2013. "The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling," Energy Policy, Elsevier, vol. 63(C), pages 1169-1181.
    9. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    10. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    11. Guo, Ju’e & Zhang, Zengkai & Meng, Lei, 2012. "China’s provincial CO2 emissions embodied in international and interprovincial trade," Energy Policy, Elsevier, vol. 42(C), pages 486-497.
    12. Herrerias, M.J. & Joyeux, R. & Girardin, E., 2013. "Short- and long-run causality between energy consumption and economic growth: Evidence across regions in China," Applied Energy, Elsevier, vol. 112(C), pages 1483-1492.
    13. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
    14. Yu, Huayi, 2012. "The influential factors of China's regional energy intensity and its spatial linkages: 1988–2007," Energy Policy, Elsevier, vol. 45(C), pages 583-593.
    15. 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.
    16. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    17. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    18. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    19. Fu, Feng & Liu, Hongtao & Polenske, Karen R. & Li, Zheng, 2013. "Measuring the energy consumption of China’s domestic investment from 1992 to 2007," Applied Energy, Elsevier, vol. 102(C), pages 1267-1274.
    20. Liu, Hongtao & Xi, Youmin & Guo, Ju'e & Li, Xia, 2010. "Energy embodied in the international trade of China: An energy input-output analysis," Energy Policy, Elsevier, vol. 38(8), pages 3957-3964, August.
    21. Liang, Sai & Wang, Can & Zhang, Tianzhu, 2010. "An improved input-output model for energy analysis: A case study of Suzhou," Ecological Economics, Elsevier, vol. 69(9), pages 1805-1813, July.
    22. Akkemik, K. Ali & Göksal, Koray & Li, Jia, 2012. "Energy consumption and income in Chinese provinces: Heterogeneous panel causality analysis," Applied Energy, Elsevier, vol. 99(C), pages 445-454.
    23. Su, Bin & Ang, B.W., 2011. "Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects," Ecological Economics, Elsevier, vol. 71(C), pages 42-53.
    24. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    25. Zhang, Chuanguo & Xu, Jiao, 2012. "Retesting the causality between energy consumption and GDP in China: Evidence from sectoral and regional analyses using dynamic panel data," Energy Economics, Elsevier, vol. 34(6), pages 1782-1789.
    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. Meng, Ming & Pang, Tingting, 2022. "Operational efficiency analysis of China's electric power industry using a dynamic network slack-based measure model," Energy, Elsevier, vol. 251(C).
    2. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    3. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    4. Jiang, Lei & He, Shixiong & Tian, Xi & Zhang, Bo & Zhou, Haifeng, 2020. "Energy use embodied in international trade of 39 countries: Spatial transfer patterns and driving factors," Energy, Elsevier, vol. 195(C).
    5. Zhang, Yan & Li, Yanxian & Zheng, Hongmei, 2017. "Ecological network analysis of energy metabolism in the Beijing-Tianjin-Hebei (Jing-Jin-Ji) urban agglomeration," Ecological Modelling, Elsevier, vol. 351(C), pages 51-62.
    6. Wang, Saige & Chen, Bin, 2016. "Energy–water nexus of urban agglomeration based on multiregional input–output tables and ecological network analysis: A case study of the Beijing–Tianjin–Hebei region," Applied Energy, Elsevier, vol. 178(C), pages 773-783.
    7. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    8. Singh, Vivek Kumar & Henriques, Carla Oliveira & Martins, António Gomes, 2018. "Fostering investment on energy efficient appliances in India–A multi-perspective economic input-output lifecycle assessment," Energy, Elsevier, vol. 149(C), pages 1022-1035.
    9. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    10. Cortés-Borda, D. & Guillén-Gosálbez, G. & Jiménez, L., 2015. "Assessment of nuclear energy embodied in international trade following a world multi-regional input–output approach," Energy, Elsevier, vol. 91(C), pages 91-101.
    11. Pang, Qinghua & Dong, Xianwei & Zhang, Lina & Chiu, Yung-ho, 2023. "Drivers and key pathways of the household energy consumption in the Yangtze river economic belt," Energy, Elsevier, vol. 262(PA).
    12. Fan Xiao & Zhi-Hua Hu & Ke-Xin Wang & Pei-Hua Fu, 2015. "Spatial Distribution of Energy Consumption and Carbon Emission of Regional Logistics," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    13. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    14. Tian, Xu & Geng, Yong & Viglia, Silvio & Bleischwitz, Raimund & Buonocore, Elvira & Ulgiati, Sergio, 2017. "Regional disparities in the Chinese economy. An emergy evaluation of provincial international trade," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 1-11.
    15. Wang, Saige & Cao, Tao & Chen, Bin, 2017. "Urban energy–water nexus based on modified input–output analysis," Applied Energy, Elsevier, vol. 196(C), pages 208-217.
    16. Wang, Saige & Liu, Yating & Chen, Bin, 2018. "Multiregional input–output and ecological network analyses for regional energy–water nexus within China," Applied Energy, Elsevier, vol. 227(C), pages 353-364.
    17. Liu, Yating & Chen, Bin, 2020. "Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses," Applied Energy, Elsevier, vol. 268(C).
    18. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    19. Chen, Zi-yue & Huang, Zhen-hai & Nie, Pu-yan, 2018. "Industrial characteristics and consumption efficiency from a nexus perspective – Based on Anhui’s Empirical Statistics," Energy Policy, Elsevier, vol. 115(C), pages 281-290.

    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. Zhang, Bo & Chen, Z.M. & Xia, X.H. & Xu, X.Y. & Chen, Y.B., 2013. "The impact of domestic trade on China's regional energy uses: A multi-regional input–output modeling," Energy Policy, Elsevier, vol. 63(C), pages 1169-1181.
    2. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
    3. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    4. Cui, Lian-Biao & Peng, Pan & Zhu, Lei, 2015. "Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis," Energy, Elsevier, vol. 82(C), pages 457-467.
    5. Zhang, Youguo & Tang, Zhipeng, 2015. "Driving factors of carbon embodied in China's provincial exports," Energy Economics, Elsevier, vol. 51(C), pages 445-454.
    6. Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input–output analysis for China: A survey of the literature," Energy Economics, Elsevier, vol. 48(C), pages 81-88.
    7. Lixiao Zhang & Qiuhong Hu & Fan Zhang, 2014. "Input-Output Modeling for Urban Energy Consumption in Beijing: Dynamics and Comparison," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-11, March.
    8. 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.
    9. Zhang, Zengkai & Guo, Ju'e & Hewings, Geoffrey J.D., 2014. "The effects of direct trade within China on regional and national CO2 emissions," Energy Economics, Elsevier, vol. 46(C), pages 161-175.
    10. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    11. Cortés-Borda, D. & Guillén-Gosálbez, G. & Jiménez, L., 2015. "Solar energy embodied in international trade of goods and services: A multi-regional input–output approach," Energy, Elsevier, vol. 82(C), pages 578-588.
    12. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    13. Sun, Licheng & Wang, Qunwei & Zhang, Jijian, 2017. "Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy," Ecological Economics, Elsevier, vol. 132(C), pages 55-62.
    14. Li, J.S. & Chen, G.Q. & Wu, X.F. & Hayat, T. & Alsaedi, A. & Ahmad, B., 2014. "Embodied energy assessment for Macao׳s external trade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 642-653.
    15. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    16. Zhang, Bo & Qiao, H. & Chen, B., 2015. "Embodied energy uses by China’s four municipalities: A study based on multi-regional input–output model," Ecological Modelling, Elsevier, vol. 318(C), pages 138-149.
    17. Hong, Jingke & Shen, Geoffrey Qiping & Guo, Shan & Xue, Fan & Zheng, Wei, 2016. "Energy use embodied in China׳s construction industry: A multi-regional input–output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1303-1312.
    18. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    19. Yuhuan Zhao & Song Wang & Jiaqin Yang & Zhonghua Zhang & Ya Liu, 2016. "Input-output analysis of carbon emissions embodied in China-Japan trade," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1515-1529, April.
    20. Lindner, Soeren & Liu, Zhu & Guan, Dabo & Geng, Yong & Li, Xin, 2013. "CO2 emissions from China’s power sector at the provincial level: Consumption versus production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 164-172.

    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:energy:v:78:y:2014:i:c:p:426-438. 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.journals.elsevier.com/energy .

    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.