IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56007.html
   My bibliography  Save this paper

Determinants of Household’s Demand for Electricity in District Peshawar

Author

Listed:
  • Naeem Ur Rehman, Khattak
  • Tariq, Muhammad
  • Khan, Jangraiz

Abstract

The main purpose of this study is to explore the role of economic and noneconomic factors in the determination of household’s demand for electricity in district Peshawar. Primary data was collected for this purpose from 200 households of City Rural Division during November-December 2009. Multinomial logistic model was used to derive estimates. The study concluded that income, number of rooms, price of electricity, weather and education are important determinants of household demand for electricity in district Peshawar. However, the study suggested that a provincial level study in this regard will be more helpful for government in understanding the real pattern of domestic demand for electricity.

Suggested Citation

  • Naeem Ur Rehman, Khattak & Tariq, Muhammad & Khan, Jangraiz, 2010. "Determinants of Household’s Demand for Electricity in District Peshawar," MPRA Paper 56007, University Library of Munich, Germany, revised 2010.
  • Handle: RePEc:pra:mprapa:56007
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56007/1/MPRA_paper_56007.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Halvorsen, Bente & Larsen, Bodil M., 2001. "Norwegian residential electricity demand--a microeconomic assessment of the growth from 1976 to 1993," Energy Policy, Elsevier, vol. 29(3), pages 227-236, February.
    2. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    3. Tully, Stephen, 2006. "The Human Right to Access Electricity," The Electricity Journal, Elsevier, vol. 19(3), pages 30-39, April.
    4. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    5. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    6. Amusa, Hammed & Amusa, Kafayat & Mabugu, Ramos, 2009. "Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 37(10), pages 4167-4175, October.
    7. Ruth J. Maddigan & Wen S. Chern & Colleen Gallagher Rizy, 1983. "Rural Residential Demand for Electricity," Land Economics, University of Wisconsin Press, vol. 59(2), pages 150-162.
    8. Louw, Kate & Conradie, Beatrice & Howells, Mark & Dekenah, Marcus, 2008. "Determinants of electricity demand for newly electrified low-income African households," Energy Policy, Elsevier, vol. 36(8), pages 2814-2820, August.
    9. Erdogdu, Erkan, 2007. "Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey," Energy Policy, Elsevier, vol. 35(2), pages 1129-1146, February.
    10. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, 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. Noel Alter & Shabib Haider Syed, 2011. "An Empirical Analysis of Electricity Demand in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 1(4), pages 116-139.
    2. Ngui, Dianah & Mutua, John & Osiolo, Hellen & Aligula, Eric, 2011. "Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)," Energy Policy, Elsevier, vol. 39(11), pages 7084-7094.
    3. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    4. Yousef Abdel Jawad & Issam Ayyash, 2019. "Analysis of Household Expenditure on Electricity in Palestine," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 237-243.
    5. Ghulam Yahya Khan & Syeda Nazish Rashid & Salik Mehboob, 2018. "Empirical Analysis of Household Energy Demand Using Almost Ideal Demand System: A Case Study of District Muzaffarabad, Azad Kashmir, Pakistan," Energy Economics Letters, Asian Economic and Social Society, vol. 5(1), pages 12-22, March.
    6. Misbah Aslam & Eatzaz Ahmad, 2018. "Impact of Ageing and Generational Effects on Household Energy Consumption Behavior: Evidence from Pakistan," Energies, MDPI, vol. 11(8), pages 1-20, August.
    7. Sharif Shofirun Sharif Ali & Muhammad Rizal Razman & Azahan Awang & M. R. M. Asyraf & M. R. Ishak & R. A. Ilyas & Roderick John Lawrence, 2021. "Critical Determinants of Household Electricity Consumption in a Rapidly Growing City," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    8. Fazli Qadir & Muhammad Tariq & Muhammad Jehangir, 2018. "The Role of Socio-Economic Factors in Earning of Women in Education Sector District Peshawar (Khyber Pakhtunkhwa)," Global Social Sciences Review, Humanity Only, vol. 3(2), pages 99-109, June.
    9. Rosas-Flores, Jorge Alberto, 2017. "Elements for the development of public policies in the residential sector of Mexico based in the Energy Reform and the Energy Transition law," Energy Policy, Elsevier, vol. 104(C), pages 253-264.
    10. Nauman Ahmed & Uzma Nisar, 2019. "Electricity Demand in Pakistan: A Household Analysis," Journal of Economic Impact, Science Impact Publishers, vol. 1(2), pages 34-39.
    11. Aslam, Misbah & Ahmad, Eatzaz, 2023. "Untangling electricity demand elasticities: Insights from heterogeneous household groups in Pakistan," Energy, Elsevier, vol. 282(C).

    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. Adom, Philip Kofi & Bekoe, William & Akoena, Sesi Kutri Komla, 2012. "Modelling aggregate domestic electricity demand in Ghana: An autoregressive distributed lag bounds cointegration approach," Energy Policy, Elsevier, vol. 42(C), pages 530-537.
    2. Tiwari, Aviral Kumar & Menegaki, Angeliki N., 2019. "A time varying approach on the price elasticity of electricity in India during 1975–2013," Energy, Elsevier, vol. 183(C), pages 385-397.
    3. Gam, Imen & Ben Rejeb, Jaleleddine, 2012. "Electricity demand in Tunisia," Energy Policy, Elsevier, vol. 45(C), pages 714-720.
    4. Imen Gam & Jaleleddine Ben Rejeb, 2012. "How Can We Assess the Relation Between Equipment, Price and Electricity Demand in Tunisia?," International Journal of Energy Economics and Policy, Econjournals, vol. 2(3), pages 159-166.
    5. Koch, Steven F. & Nkuna, Blessings & Ye, Yuxiang, 2024. "Income elasticity of residential electricity consumption in rural South Africa," Energy Economics, Elsevier, vol. 131(C).
    6. Daniel Morais de Souza & Rogerio Silva de Mattos & Alexandre Zanini, 2022. "Estimating Elasticities for the Residential Demand of Electricity in Brazil Using Cointegration Models," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 315-324, March.
    7. Yasunobu Wakashiro, 2019. "Estimating price elasticity of demand for electricity: the case of Japanese manufacturing industry," International Journal of Economic Policy Studies, Springer, vol. 13(1), pages 173-191, January.
    8. Adewuyi, Adeolu O., 2016. "Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria," Energy Policy, Elsevier, vol. 95(C), pages 73-93.
    9. Ye, Yuxiang & Koch, Steven F. & Zhang, Jiangfeng, 2018. "Determinants of household electricity consumption in South Africa," Energy Economics, Elsevier, vol. 75(C), pages 120-133.
    10. Theologos Dergiades & Lefteris Tsoulfidis, 2011. "Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis," Empirical Economics, Springer, vol. 41(2), pages 511-531, October.
    11. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
    12. Akihiro Otsuka, 2019. "Natural disasters and electricity consumption behavior: a case study of the 2011 Great East Japan Earthquake," Asia-Pacific Journal of Regional Science, Springer, vol. 3(3), pages 887-910, October.
    13. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Analysis of energy intensity in Japan," Energy Policy, Elsevier, vol. 61(C), pages 574-586.
    14. Jia, Jun-Jun & Guo, Jin & Wei, Chu, 2021. "Elasticities of residential electricity demand in China under increasing-block pricing constraint: New estimation using household survey data," Energy Policy, Elsevier, vol. 156(C).
    15. Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
    16. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
    17. Sudeshna Ghosh, 2019. "Environmental Pollution, Income Inequality, and Household Energy Consumption: Evidence from the United Kingdom," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-31, June.
    18. Moral-Carcedo, Julián & Pérez-García, Julián, 2015. "Temperature effects on firms’ electricity demand: An analysis of sectorial differences in Spain," Applied Energy, Elsevier, vol. 142(C), pages 407-425.
    19. Jamil, Faisal & Ahmad, Eatzaz, 2011. "Income and price elasticities of electricity demand: Aggregate and sector-wise analyses," Energy Policy, Elsevier, vol. 39(9), pages 5519-5527, September.
    20. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2010. "Modelling energy demand of developing countries: Are the specific features adequately captured?," Energy Policy, Elsevier, vol. 38(4), pages 1979-1990, April.

    More about this item

    Keywords

    Household’s Demand for Electricity; Multinomial Logistic Model; City Rural Division;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D19 - Microeconomics - - Household Behavior - - - Other

    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:pra:mprapa:56007. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.