IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v3y1992i4p371-386.html
   My bibliography  Save this article

A Modified Model for Prediction of India's Future Energy Requirement

Author

Listed:
  • L. Suganthi
  • T.R. Jagadeesan

Abstract

A modified model has been projected in this paper which links environmental quality and technological efficiency with energy and economic factors. A comparison is made between the results obtained from the modified model with a time series and an econometric model using Ordinary Least Square Error (OLSE), square of the correlation coefficient R 2 and Durbin Watson statistic. The time series model is built using seven regression equations and the best fit is selected from among them. The econometric model is built with consumption, price and gross national product. In the modified model, two more variables, technological efficiency and carbon dioxide emission are included, which help to determine the impact of these variables on energy consumption. It is found that the modified model gives least squared error and higher correlation coefficient for coal, oil and electricity. Also the Durbin Watson statistic ‘DW’ is found to be higher in two out of the three cases - coal and oil. The requirement of coal, oil and electricity in the year 1995–96 and 2000–01 is determined using the data for the period 70–89.

Suggested Citation

  • L. Suganthi & T.R. Jagadeesan, 1992. "A Modified Model for Prediction of India's Future Energy Requirement," Energy & Environment, , vol. 3(4), pages 371-386, June.
    • Handle: RePEc:sae:engenv:v:3:y:1992:i:4:p:371-386
    DOI: 10.1177/0958305X9200300403
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X9200300403
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0958305X9200300403?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
    ---><---

    References listed on IDEAS

    as
    1. Ang, B.W., 1987. "Structural changes and energy-demand forecasting in industry with applications to two newly industrialized countries," Energy, Elsevier, vol. 12(2), pages 101-111.
    2. Harel, P. & Baguant, J., 1991. "A growth prediction for electrical energy consumption in Mauritius," Energy, Elsevier, vol. 16(4), pages 707-711.
    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. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    2. Hiremath, R.B. & Shikha, S. & Ravindranath, N.H., 2007. "Decentralized energy planning; modeling and application--a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 729-752, June.

    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. Iniyan, S. & Suganthi, L. & Samuel, Anand A., 2006. "Energy models for commercial energy prediction and substitution of renewable energy sources," Energy Policy, Elsevier, vol. 34(17), pages 2640-2653, November.
    2. C Cocklin & M Harte & S Lonergan, 1989. "Patterns of Change in the Use of Energy in the New Zealand Economy," Environment and Planning A, , vol. 21(9), pages 1141-1156, September.
    3. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    4. Lior Gallo, 2023. "Electricity Intensity Convergence in the OECD Countries," Bank of Israel Working Papers 2023.10, Bank of Israel.
    5. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    6. Muhammad Shahbaz & Avik Sinha & Andreas Kontoleon, 2022. "Decomposing scale and technique effects of economic growth on energy consumption: Fresh evidence from developing economies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1848-1869, April.
    7. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    8. Santosh Kumar SAHU & K NARAYANAN, 2010. "Decomposition Of Industrial Energy Consumption In Indian Manufacturing The Energy Intensity Approach," Journal of Advanced Research in Management, ASERS Publishing, vol. 1(1), pages 22-38.
    9. B.W. Ang & J.F. Skea, 1994. "Structural Change, Sector Disaggregation and Electricity Consumption in uk Industry," Energy & Environment, , vol. 5(1), pages 1-16, March.
    10. Joanne Evans & Massimo Filippini & Lester C. Hunt, 2013. "The contribution of energy efficiency towards meeting CO2 targets," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 8, pages 175-223, Edward Elgar Publishing.
    11. Trotter, Philipp A. & McManus, Marcelle C. & Maconachie, Roy, 2017. "Electricity planning and implementation in sub-Saharan Africa: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1189-1209.
    12. Gardner, Douglas T. & Elkhafif, Mahmoud A. T., 1998. "Understanding industrial energy use: structural and energy intensity changes in Ontario industry," Energy Economics, Elsevier, vol. 20(1), pages 29-41, February.
    13. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.
    14. Thangjam, Aditya & Jaipuria, Sanjita & Dadabada, Pradeep Kumar, 2023. "Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks," Applied Energy, Elsevier, vol. 333(C).
    15. Ang, B. W. & Lee, P. W., 1996. "Decomposition of industrial energy consumption: The energy coefficient approach," Energy Economics, Elsevier, vol. 18(1-2), pages 129-143, April.
    16. Md. Hasanur Rahman & Alfarunnahar Ruma & Mohammad Nasir Hossain & Rifat Nahrin & Shapan Chandra Majumder, 2021. "Examine the Empirical Relationship between Energy Consumption and Industrialization in Bangladesh: Granger Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 121-129.
    17. Sally Salamah & Wan Abbas Zakaria & Toto Gunarto & Lies Maria Hamzah & Muhammad Said, 2019. "Analysis of Energy Intensity Decomposition in the Textile Industrial Sub Sector of Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 1-10.
    18. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2016. "Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case," Energy Policy, Elsevier, vol. 89(C), pages 114-124.

    More about this item

    Statistics

    Access and download statistics

    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:sae:engenv:v:3:y:1992:i:4:p:371-386. 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: SAGE Publications (email available below). General contact details of provider: .

    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.