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Global warming and electricity demand in the rapidly growing city of Delhi: A Semi-parametric variable coefficient approach

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  • Eshita Gupta

    (Indian Statistical Institute, New Delhi
    Institute of Economic Growth)

Abstract

This paper estimates the climate sensitivity of electricity demand by examining the impact of apparent temperature on electricity demand in Delhi using daily data on electricity demand for the period 2000-09. The study adopts a semi-parametric variable coefficient model in order to investigate the non-linear time-varying impact of climatic factors on electricity demand...

Suggested Citation

  • Eshita Gupta, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A Semi-parametric variable coefficient approach," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 12-02, Indian Statistical Institute, New Delhi, India.
  • Handle: RePEc:ind:isipdp:12-02
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    File URL: http://www.isid.ac.in/~pu/dispapers/dp12-02.pdf
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    Cited by:

    1. Xu, Bin & Lin, Boqiang, 2016. "Reducing CO2 emissions in China's manufacturing industry: Evidence from nonparametric additive regression models," Energy, Elsevier, vol. 101(C), pages 161-173.
    2. Eshita Gupta, 2014. "The Effect of development on the climate sensitivity of electricity demand in India," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 14-05, Indian Statistical Institute, New Delhi, India.
    3. Brandon Moore & André Coleman & Mark Wigmosta & Richard Skaggs & Erik Venteris, 2015. "A High Spatiotemporal Assessment of Consumptive Water Use and Water Scarcity in the Conterminous United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5185-5200, November.
    4. repec:eee:energy:v:127:y:2017:i:c:p:534-543 is not listed on IDEAS
    5. Marilyn Brown & Matt Cox & Ben Staver & Paul Baer, 2016. "Modeling climate-driven changes in U.S. buildings energy demand," Climatic Change, Springer, vol. 134(1), pages 29-44, January.
    6. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    7. repec:eee:energy:v:127:y:2017:i:c:p:786-802 is not listed on IDEAS
    8. Eshita Gupta, 2016. "The Effect Of Development On The Climate Sensitivity Of Electricity Demand In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-49, May.
    9. Marilyn A. Brown & Matt Cox & Ben Staver & Paul Baer, 2016. "Modeling climate-driven changes in U.S. buildings energy demand," Climatic Change, Springer, vol. 134(1), pages 29-44, January.
    10. Byrne, Paul & Fournaison, Laurence & Delahaye, Anthony & Ait Oumeziane, Yacine & Serres, Laurent & Loulergue, Patrick & Szymczyk, Anthony & Mugnier, Daniel & Malaval, Jean-Luc & Bourdais, Romain & Gue, 2015. "A review on the coupling of cooling, desalination and solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 703-717.

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