IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v35y2010i1p326-331.html
   My bibliography  Save this article

Input-output table of electricity demand and its application

Author

Listed:
  • Mu, Tao
  • Xia, Qing
  • Kang, Chongqing

Abstract

It is very important for electric utility to determine dominant sectors which have more impacts on electricity consumption in national economy system. In this paper, an input-output perspective and methodology is proposed to handle this issue. The input-output table of electricity demand (IOTED) is put forward based on the input-output table of national economy (IOTNE). The relevancy of electricity demand in various sectors is revealed by means of electricity consumption chains (ECCs), which are key components in the IOTED. Besides, a new concept, electricity demand multiplier (EDM), is presented to identify dominant sectors imposing great impacts on electricity demand quantitatively. In order to testify the effectiveness of the proposed methodology, a case based on provincial economy system in China is studied. Dominant sectors are identified and discussed.

Suggested Citation

  • Mu, Tao & Xia, Qing & Kang, Chongqing, 2010. "Input-output table of electricity demand and its application," Energy, Elsevier, vol. 35(1), pages 326-331.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:326-331
    DOI: 10.1016/j.energy.2009.09.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544209004101
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2009.09.024?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. Wilting, Harry C. & Biesiot, Wouter & Moll, Henri C., 1998. "Trends In Dutch Energy Intensities For The Period 1969–1988," Energy, Elsevier, vol. 23(10), pages 815-822.
    2. Nässén, Jonas & Holmberg, John & Wadeskog, Anders & Nyman, Madeleine, 2007. "Direct and indirect energy use and carbon emissions in the production phase of buildings: An input–output analysis," Energy, Elsevier, vol. 32(9), pages 1593-1602.
    3. Luukkanen, J. & Kaivo-oja, J., 2002. "A comparison of Nordic energy and CO2 intensity dynamics in the years 1960–1997," Energy, Elsevier, vol. 27(2), pages 135-150.
    4. Alcantara, Vicent & Duarte, Rosa, 2004. "Comparison of energy intensities in European Union countries. Results of a structural decomposition analysis," Energy Policy, Elsevier, vol. 32(2), pages 177-189, January.
    5. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    6. Tiwari, Piyush, 2000. "An analysis of sectoral energy intensity in India," Energy Policy, Elsevier, vol. 28(11), pages 771-778, September.
    7. Parikh, Jyoti & Panda, Manoj & Ganesh-Kumar, A. & Singh, Vinay, 2009. "CO2 emissions structure of Indian economy," Energy, Elsevier, vol. 34(8), pages 1024-1031.
    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. Hye-Yeong Lee & Kee Moon Jang & Youngchul Kim, 2020. "Energy Consumption Prediction in Vietnam with an Artificial Neural Network-Based Urban Growth Model," Energies, MDPI, vol. 13(17), pages 1-17, August.
    2. Zhang, Moyi & Huang, Xian-Jin, 2012. "Effects of industrial restructuring on carbon reduction: An analysis of Jiangsu Province, China," Energy, Elsevier, vol. 44(1), pages 515-526.
    3. Jinchai Lin & Kaiwei Zhu & Zhen Liu & Jenny Lieu & Xianchun Tan, 2019. "Study on A Simple Model to Forecast the Electricity Demand under China’s New Normal Situation," Energies, MDPI, vol. 12(11), pages 1-28, June.
    4. Tarancón, Miguel Ángel & del Río, Pablo & Callejas, Fernando, 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case," Energy, Elsevier, vol. 36(1), pages 46-52.
    5. Fu, Z.H. & Xie, Y.L. & Li, W. & Lu, W.T. & Guo, H.C., 2017. "An inexact multi-objective programming model for an economy-energy-environment system under uncertainty: A case study of Urumqi, China," Energy, Elsevier, vol. 126(C), pages 165-178.
    6. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    7. Oliveira, Carla & Antunes, Carlos Henggeler, 2011. "A multi-objective multi-sectoral economy–energy–environment model: Application to Portugal," Energy, Elsevier, vol. 36(5), pages 2856-2866.
    8. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    9. Wang, Yuanyuan & Wang, Jianzhou & Zhao, Ge & Dong, Yao, 2012. "Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China," Energy Policy, Elsevier, vol. 48(C), pages 284-294.
    10. Long, Yin & Yoshida, Yoshikuni & Fang, Kai & Zhang, Haoran & Dhondt, Maya, 2019. "City-level household carbon footprint from purchaser point of view by a modified input-output model," Applied Energy, Elsevier, vol. 236(C), pages 379-387.
    11. Gao Jingxin & Chen Yunong & Zhong Xiaoyang & Ma Xianrui, 2021. "Energy Consumption in China’s Construction Industry: Energy Driving and Driven Abilities from a Regional Perspective," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 45-60, February.
    12. Oliveira, C. & Coelho, D. & Pereira da Silva, P. & Antunes, C.H., 2013. "How many jobs can the RES-E sectors generate in the Portuguese context?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 444-455.
    13. Ren, Yulong & Fu, Shijun, 2010. "A quantitative model of regulator’s preference factor (RPF) in electricity–environment coordinated regulation system," Energy, Elsevier, vol. 35(12), pages 5185-5191.

    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. Duarte, Rosa & Mainar, Alfredo & Sánchez-Chóliz, Julio, 2013. "The role of consumption patterns, demand and technological factors on the recent evolution of CO2 emissions in a group of advanced economies," Ecological Economics, Elsevier, vol. 96(C), pages 1-13.
    2. Tarancon, Miguel Angel & Del Río, Pablo, 2012. "Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques," Energy, Elsevier, vol. 37(1), pages 161-170.
    3. Alcántara, Vicent & del Río, Pablo & Hernández, Félix, 2010. "Structural analysis of electricity consumption by productive sectors. The Spanish case," Energy, Elsevier, vol. 35(5), pages 2088-2098.
    4. Mark Sommer & Kurt Kratena, 2016. "The Carbon Footprint of European Households and Income Distribution. WWWforEurope Working Paper No. 113," WIFO Studies, WIFO, number 58787, February.
    5. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    6. Huntington, Hillard G. & Barrios, James J. & Arora, Vipin, 2019. "Review of key international demand elasticities for major industrializing economies," Energy Policy, Elsevier, vol. 133(C).
    7. Dixit, Manish K., 2017. "Life cycle embodied energy analysis of residential buildings: A review of literature to investigate embodied energy parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 390-413.
    8. Liu, Yaobin, 2009. "Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model)," Energy, Elsevier, vol. 34(11), pages 1846-1854.
    9. Liu, Hongtao & Polenske, Karen R. & Guilhoto, Joaquim José Martins & Xi, Youmin, 2014. "Direct and indirect energy use in China and the United States," Energy, Elsevier, vol. 71(C), pages 414-420.
    10. Jonas Nässén & Jörgen Larsson, 2015. "Would shorter working time reduce greenhouse gas emissions? An analysis of time use and consumption in Swedish households," Environment and Planning C, , vol. 33(4), pages 726-745, August.
    11. Cabeza, Luisa F. & Rincón, Lídia & Vilariño, Virginia & Pérez, Gabriel & Castell, Albert, 2014. "Life cycle assessment (LCA) and life cycle energy analysis (LCEA) of buildings and the building sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 394-416.
    12. Tarancón, Miguel Ángel & del Río, Pablo & Callejas, Fernando, 2011. "Determining the responsibility of manufacturing sectors regarding electricity consumption. The Spanish case," Energy, Elsevier, vol. 36(1), pages 46-52.
    13. Zhang, Moyi & Huang, Xian-Jin, 2012. "Effects of industrial restructuring on carbon reduction: An analysis of Jiangsu Province, China," Energy, Elsevier, vol. 44(1), pages 515-526.
    14. 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.
    15. Fan, Ying & Xia, Yan, 2012. "Exploring energy consumption and demand in China," Energy, Elsevier, vol. 40(1), pages 23-30.
    16. Hussain Ali Bekhet & Tahira Yasmin, 2014. "Assessment of the global financial crisis effects on energy consumption and economic growth in Malaysia: An input–output analysis," International Economics, CEPII research center, issue 140, pages 49-70.
    17. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    18. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    19. Butnar, Isabela & Llop Llop, Maria, 2010. "Structural decomposition analysis and input-output subsystems: An application to Spanish CO2 emissions," Working Papers 2072/151546, Universitat Rovira i Virgili, Department of Economics.
    20. Erik Dietzenbacher & Jesper Stage, 2006. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(1), pages 85-95.

    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:35:y:2010:i:1:p:326-331. 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.